Ph. D. Defenses Michigan State University

Ph.D. Defenses

Time: July 29, 2024, first day of the week, 10:00 am.

Mohammed Bindiris, Consultant Physician

Traditional energy systems are moving towards more permanent generation and transmission systems. One of the key moments driving this transition is the expansion of recurring energy sources, which contribute to the production of environmentally friendly non-electrical energy, diversifying the energy balance and reducing carbon dioxide emissions. The use of recurring energy sources did not start in defense of the classical paradigm of the energy system. As a result, modern power companies are enthusiastic and find conclusions to integrate these resources without violating the necessary system safety and reliability.

As the use of recurring energy sources increases and traditional generators are dismantled, distributed energy resources (REE) are increasingly being produced in advanced electrical networks. REE are small sources of power connected to low and medium voltage distribution and include, in particular, photovoltaic power plants (PEPs), wind farms, batteries and microturbines. Since it is expected that mayors will have extensive distribution networks in the near future, how can they fundamentally guarantee this through their proposals for grid subsidies? In this regard, MEs have every chance to apply to provide backup proposals from the grid, either autonomously or through aggregation. However, the class of distribution systems consisting of the first mayor or several mayors, the energy system has insignificant capabilities, while the connected and coordinated deposits of several powerful distribution systems and aggregators have every chance to apply frequency regulation and other proposals of the energy system at scale. However, mayors, large-scale integration faces difficulties in planning, operation and management of the existing energy system. These difficulties make it urgent to develop structures that provide skills for large-scale integration and will undoubtedly help to apply preliminary proposals of the energy system. Against this background

This paper is important by developing a comprehensive structure and rea l-time management strategy for adjusting DER and utility and optimal power transmission regarding secondary frequency adjustment, one of the important subsidies of the network. It solves the problem. This study will be implemented from the development of a new mathematical model to implement secondary frequency adjustments at both power distribution and power transmission. We propose a strategy based on deep strengthening learning that effectively adjusts diverse resource portfolios, effectively treats difficulties with different characteristics, and accurately distribute resources for automatic power generation management (AGC). For practical implementation in the proposed secondary frequency control algorithm in the real environment, the architecture of supportless cloud computing and network response analysis is used. Furthermore, a comprehensive foundation for building an electromagnetic transition model (EMT) of a larg e-scale power system can be developed, and the frequency control proposed using this can be controlled in real time on an accurate electric power system model. In addition, we propose an architecture that integrates the modeling of supportless cloud computing and rea l-time digital simulator (RTDS) to provide hig h-precision prototypes.

As a result of the energy systems described in this study, the mathematical models, and the larg e-scale models are important progress and important progress to build an active power supply network that is common to me. Provide ideas.

As a whole, the distributed energy source can ensure frequency adjustment and control by appropriate adjustment and management.

Department of Information Engineering

Name Salman Ali

Date: Thursday, July 25, 2024 2:00 pm

Instructor Dr. Wolfgang Banzhaf This paper is one of the important auxiliary services of the network, a comprehensive structure and rea l-time management strategy for adjusting DER and utility and optimal power transmission. By developing, these important problems are solved. This study will be implemented from the development of a new mathematical model to implement secondary frequency adjustments at both power distribution and power transmission. We propose a strategy based on deep strengthening learning that effectively adjusts diverse resource portfolios, effectively treats difficulties with different characteristics, and accurately distribute resources for automatic power generation management (AGC). For practical implementation in the proposed secondary frequency control algorithm in the real environment, the architecture of supportless cloud computing and network response analysis is used. Furthermore, a comprehensive foundation for building an electromagnetic transition model (EMT) of a larg e-scale power system can be developed, and the frequency control proposed using this can be controlled in real time on an accurate electric power system model. In addition, we propose an architecture that integrates the modeling of supportless cloud computing and rea l-time digital simulator (RTDS) to provide hig h-precision prototypes.

As a whole, the distributed energy source can ensure frequency adjustment and control by appropriate adjustment and management.

Department of Information Engineering

Name Salman Ali

Date: Thursday, July 25, 2024 2:00 pm

Instructor Dr. Wolfgang Banzhaf This paper develops a comprehensive structure and rea l-time management strategy for adjusting DER and utility and optimal power transmission, which is one of the important assist services of the network. This solves these important problems. This study will be implemented from the development of a new mathematical model to implement secondary frequency adjustments at both power distribution and power transmission. We propose a strategy based on deep strengthening learning that effectively adjusts diverse resource portfolios, effectively treats difficulties with different characteristics, and accurately distribute resources for automatic power generation management (AGC). For practical implementation in the proposed secondary frequency control algorithm in the real environment, the architecture of supportless cloud computing and network response analysis is used. Furthermore, a comprehensive foundation for building an electromagnetic transition model (EMT) of a larg e-scale power system can be developed, and the frequency control proposed using this can be controlled in real time on an accurate electric power system model. In addition, we propose an architecture that integrates the modeling of supportless cloud computing and rea l-time digital simulator (RTDS) to provide hig h-precision prototypes.

As a whole, the distributed energy source can ensure frequency adjustment and control by appropriate adjustment and management.

Department of Information Engineering

Name Salman Ali

Date: Thursday, July 25, 2024 2:00 pm

Guidance Teacher Dr. Wolfgang Banzhaf

Complex supply chains like food supply chains include various sub systems such as inventory management, feed processing, refrigerated transport, and retail. Through the entire food supply chain, large subsystems are owned by individual organizations and hinder potentially useful shared information. As a result, the ability to improve the chain has been lost to relocate knowledge and traceability, relocate knowledge and achieve the best results in economic and environmentally.

Concluding a heterogeneous supply chain member outside of the communication channel at the time of sale and collaborating with a collaboration application will build a collaborative and scalable interaction system for use r-controlled. Present many technologies and data issues that are required.

The submitted papers are the tasks of gaining cumulative knowledge of interconnected and different supply chains by proposing and controlling and controlled and controlled interactions and collaboration systems control by members of the supply chain. I am working on it. The beef supply chain case study introduces many related applications, including tracking CO2 emissions, optimizing supply chains, and introducing benign data pipelines. Supporting practical applications and system evaluation prove the effectiveness of proposed frameworks for collaboration, shared policy application, traceability, union machine learning, transfer of knowledge, and improving the value of supply chain members.

Faculty of Mechanical Engineering

Name Anyld Suschu

Date: Wednesday, July 24, 2024 2:00 pm

Inspired teachers Dr KalyanMoy Deb Complex supply chains, such as food supply chains, include inventory management, feed processing, refrigerated transport, retail, such as retail. Through the entire food supply chain, large subsystems are owned by individual organizations and hinder potentially useful shared information. As a result, the ability to improve the chain has been lost to relocate knowledge and traceability, relocate knowledge and achieve the best results in economic and environmentally.

Faculty of Mechanical Engineering

Date: Wednesday, July 24, 2024 2:00 pm

Inspired faculty members DR KALYANMOY DEB Food Supply Chain The complicated supply chain includes various subsystems such as inventory management, feed processing, refrigerated transport, and retail. Through the entire food supply chain, large subsystems are owned by individual organizations and hinder potentially useful shared information. As a result, the ability to improve the chain has been lost to relocate knowledge and traceability, relocate knowledge and achieve the best results in economic and environmentally.

Faculty of Mechanical Engineering

Name Anyld Suschu

Inspired Teacher Dr KalyanMoy Deb

A typical goal of a multi-objective evolutionary algorithm (MOEA) is to identify a well-consistent, uniformly distributed set of Pareto-optimal (PO) solutions. This step is followed by a multi-criteria decision-making (MCDM) step. We provide an easy way to complete these two steps. We present and compare different unique identifiers of PO solutions in terms of their characteristics, advantages, and disadvantages in optimization, visualization, and decision-making. We propose a method to achieve the best distribution of solutions in these spaces, and show that these identifiers can be combined and used for optimization. In addition, incomplete PO fronts can be problematic in decision-making. We propose a machine learning MCDM engine that can alleviate some of these problems. We also propose to incorporate these MCDM concepts into the optimization to increase confidence in the achieved DO solutions.

Date: Wednesday, July 24, 2024 2:00 pm

Name: Bao Wentao_RDate and time: Thursday, July 18, 2024, 2:00 PM

Advisor: Dr. Yu Cong

Although progress in visual intelligence has been remarkable, enabling machines to understand human-level visual content remains a fundamental challenge. In recent decades, visual understanding has been widely studied through computer vision tasks such as object (or action) recognition, segmentation, and detection. However, existing methods are difficult to apply to real-world applications where unseen environments, objects, and actions are inevitably introduced into the test. This limitation is due to the closed-world assumption that ignores the unknown when developing, training, and evaluating models.

In this paper presentation, I will introduce my work that will surpass some complicated problems in the open world that exceeds the conventional closed visual perception. The purpose is to give the machine the possibility of visual perception in the open world, which considers invisible environments, images, and video objects. First, explore visual prediction issues in an open world in an invisible environment, such as autonomous driving and virtual reality. In particular, I am interested in how to use the early video video in the quick accident risk for safe independent driving and the 3D hand channel prediction in an invisible environment from a firs t-person perspective. Second, let's talk about the visual recognition issues in the open world aimed at identifying invisible visual concepts. In this section, we are interested in identifying and identifying the invisible behavior in the video, such as the behavior of the shared video. Finally, consider the understanding of visual language in an open world that can identify invisible visual concepts based on language queries. In particular, we are interested in understanding the invisible configuration object in the image and the invisible spatial detection.

Faculty of Civil Engineering Engineering

Name: Mohamad Vasiff Nakoku

Date: Wednesday, July 17, 2024 9:00 am

Advisor Dr. Bora TSETIN In this dissertation, I will introduce my work that surpasses some complicated problems in the open world that exceeds the conventional closed visual perception. The purpose is to give the machine the possibility of visual perception in the open world, which considers invisible environments, images, and video objects. First, explore visual prediction issues in an open world in an invisible environment, such as autonomous driving and virtual reality. In particular, I am interested in how to use the early video video in the quick accident risk for safe independent driving and the 3D hand channel prediction in an invisible environment from a firs t-person perspective. Second, let's talk about the visual recognition issues in the open world aimed at identifying invisible visual concepts. In this section, we are interested in identifying and identifying the invisible behavior in the video, such as the behavior of the shared video. Finally, consider the understanding of visual language in an open world that can identify invisible visual concepts based on language queries. In particular, we are interested in understanding the invisible configuration object in the image and the invisible spatial detection.

Name: Mohamad Vasiff Nakoku

Date: Wednesday, July 17, 2024 9:00 am

Advisor Dr. Bora tsetin This publication introduces my work that solves some complicated problems in the open world that exceeds the conventional closed visual perception. The purpose is to give the machine the possibility of visual perception in the open world, which considers invisible environments, images, and video objects. First, explore visual prediction issues in an open world in an invisible environment, such as autonomous driving and virtual reality. In particular, I am interested in how to use the early video video in the quick accident risk for safe independent driving and the 3D hand channel prediction in an invisible environment from a firs t-person perspective. Second, let's talk about the visual recognition issues in the open world aimed at identifying invisible visual concepts. In this section, we are interested in identifying and identifying the invisible behavior in the video, such as the behavior of the shared video. Finally, consider the understanding of visual language in an open world that can identify invisible visual concepts based on language queries. In particular, we are interested in understanding the invisible configuration object in the image and the invisible spatial detection.

Faculty of Civil Engineering Engineering

Name: Mohamad Vasiff Nakoku

Date: Wednesday, July 17, 2024 9:00 am

Advisor Dr. Bora TSETIN

The frozen melting of the ground (the process of freezing and melting the soil) can do a lot of damage to the roads and infrastructure, especially in the seasonal frosty areas. This increases operational costs, reduces the unity of the system, and reduces the service life of roads and other important infrastructure facilities. In 2013, the United States Road Agency just declared that it had actually spent $ 27 billion to contain the road surface, and the damage caused by frozen melting is one of the serious times for these costs. In order to ensure sustainability and productivity of infrastructure in the victims, reduce financial costs, and increase safety, it is necessary to solve this challenge. In this paper, we are examining innovative conclusions known as engineering water repellent to reduce the effects of frozen cycles on the soil. He continues to study the effects of the salt concentration due to the freezing of roads on the freezing and stipping. A wide range of educational literature programs distinguish the absolute ideas of people with cold mechanisms, impact on infrastructure, and easing measures.

Department of Information Engineering

For example, research is an experiment and a larg e-scale testing method to evaluate the productivity of organizational (OS) processing (OS) processing (OS) processing (OS) processing (OS) processing (OS) by giving the foundation of wate r-soluble qualities. It is used as. A fresh and large boxing to control the earth can actually get valuable information about the effects of freezing and the practical use of OS processing, and mimics the actual conditions around the environment. The results of the research indicate that OS processing is actually reduced in water movements and increases the intensity of the earth. Specifically, in countries with OS processing, the maximum soil abuse decreased by 96 % and the movement of water decreased by 97 % compared to the unprocessed base. In a larg e-scale test box, the coated land maintains the highest temperature and the lower hydrophobic content, which is close to reality, in the case of freezing from top to bottom. The frozen melting of the ground (the process of freezing and melting the soil) can do a lot of damage to the roads and infrastructure, especially in the seasonal frosty areas. This increases operational costs, reduces the unity of the system, and reduces the service life of roads and other important infrastructure facilities. In 2013, the United States Road Agency just declared that it had actually spent $ 27 billion to contain the road surface, and the damage caused by frozen melting is one of the serious times for these costs. In order to ensure sustainability and productivity of infrastructure in the victims, reduce financial costs, and increase safety, it is necessary to solve this challenge. In this paper, we are examining innovative conclusions known as engineering water repellent to reduce the effects of frozen cycles on the soil. He continues to study the effects of the salt concentration due to the freezing of roads on the freezing and stipping. A wide range of educational literature programs distinguish the absolute ideas of people with cold mechanisms, impact on infrastructure, and easing measures.

A practical study also investigated the effect of different concentrations of sodium chloride (NaCl) on the behavior of the earth during freezing and turbulence. The results showed that, in fact, the highest concentration of salt effectively lowered the freezing point, reduced the swelling rate, and reduced the water usage. This study emphasizes the importance of modeling realistic temperature gradients to realize the effect of salinity on the behavior of basic substances during freezing. For example, in countries with a NaCl concentration of 5%, the freezing point was significantly forced and its rate of increase was reduced to 11, 3 mm/day (ASTM) and 1, 5 mm/day (low temperature gradient), suppressed to 22, 5 mm/day and 17, 2 mm/day, respectively. Apart from this, it was found that salt treatment effectively reduced the water table and water movement, with a more pronounced reduction observed for the highest concentration of salt. However, salt migrated towards the front edge of the freezing, increasing the soil salt concentration in the upper layers. The economics test, which introduced the current cycle cost analysis (LCCA), actually approved that engineered aqueous treatment is considered to be economically effective long-term conclusion compared to conventional methods. However, the initial cost may be higher, and the lowest equivalent uniform annual cost (EUAC) and failure given price (NPV) of the control system make it economically profitable in the long-term potential. These results in Sobocup deepen the awareness of the behavior of the earth in freeze-weakening criteria and provide practical and economically justifiable strategies to increase the resilience of infrastructure in cool climates. Future research should focus on field testing and long-term prediction to clarify these strategies and ensure their performance in various criteria around the environment.

Faculty of Civil and Environmental Engineering

Name: Hui Dung

Time: 15 July 2024 (first day of the week) 14:00

Name Salman Ali

Dams are one of the most important artificial structures that relieve floods and drought, have irrigation, home water supply, supply of industrial water, and power production. However, in highly developed areas, the irreversible effects of dams on the environment are recognized, and concerns about churches on the destructive results of dam development are increasing. Incorading these concerns, the increase in energy and water in developed areas has recently led to the emergence of larg e-scale dam construction, and hundreds of dams are planned in the near future. Apart from this, the construction and operation of dams in these regions is often based on local, imperfect, or inconsistent water literature analysis based on supervisors, and in fact reduces risk. The most effective preparation for the project is made. At the same time, climate change increases floods and drought, which are unpredictable and destroyed, especially in developing areas. In this way, it is urgently needed to study past changes and future uncertainty in water literature under the comprehensive impact of climate change and dam operation. Dam is one of the most important artificial structures that relieve floods and drought and bring important interests to society, such as irrigation, home water supply, and electricity production. However, in highly developed areas, the irreversible effects of dams on the environment are recognized, and concerns about churches on the destructive results of dam development are increasing. Incorading these concerns, the increase in energy and water in developed areas has recently led to the emergence of larg e-scale dam construction, and hundreds of dams are planned in the near future. Apart from this, the construction and operation of dams in these regions is often based on local, imperfect, or inconsistent water literature analysis based on supervisors, and in fact reduces risk. The most effective preparation for the project is made. At the same time, climate change increases floods and drought, which are unpredictable and destroyed, especially in developing areas. In this way, it is urgently needed to study past changes and future uncertainty in water literature under the comprehensive impact of climate change and dam operation. Dams are one of the most important artificial structures that relieve floods and drought, have irrigation, home water supply, supply of industrial water, and power production. However, in highly developed areas, the irreversible effects of dams on the environment are recognized, and concerns about churches on the destructive results of dam development are increasing. Incorading these concerns, the increase in energy and water in developed areas has recently led to the emergence of larg e-scale dam construction, and hundreds of dams are planned in the near future. Apart from this, the construction and operation of dams in these regions is often based on local, imperfect, or inconsistent water literature analysis based on supervisors, and in fact reduces risk. The most effective preparation for the project is made. At the same time, climate change increases floods and drought, which are unpredictable and destroyed, especially in developing areas. In this way, it is urgently needed to study past changes and future uncertainty in water literature under the comprehensive impact of climate change and dam operation.

In this paper, these are important with the high-resolution support of river-Poma-Ourosennery, under the title of Camasty Dam (CMFD), which is close to reality in hydroelectric and irrigation dams. I predicted the problem. The imitation of this model is used to quantify the changes in river mode and flood dynamics in the Mekong River pool (MRB). First, in order to provide a comprehensive evaluation of the changes in the tonship of the lake, the largest lake in Southeast Asia, the current subbatasin will be implemented using the unique water literature of BR M-TONSIP. The following shows the main information on the changes in the river system of the entire BRS and the momentum of floods, focusing on the differences between the seasonal conditions and the effects of the dumb to water reorganization and the effects of the dam. Finally, while considering the approaching climate and the planned dam formation, we considered the river system and extreme mode of the whole earth BRM as a whole. (1) The trends on the Mekong River are still suitable for climate change, but the dam construction has the momentum of the floods of the Mekong River, especially in the latter half of 2010 (2) Dams gradually gradually the flood flow of the Mekong River. Reduced (3) Dam gradually decreases the flood flow rate of the Mekong River (4) The dam gradually decreases the flood flow rate of the Mekong River (5) Dam gradually reduces the flood flow rate of the Mekong River. 。

The results obtained in this paper are the changes in water literary systems in this area, achieving important periods of BRS rivers, floodle, and reservoirs. It is a thing that opens up the path to more sustainable development after recognizing. Apart from this, this evaluation has the potential for future research in other developments in the world where dam construction is still rapidly developing.

Faculty of Civil Engineering Engineering

Name Cello Santos

Date: Wednesday, July 10, 2024 12:00

In this paper, the leading teacher Doctor Bora Zitin In this paper, the river-poma-Oro-senshonary advanced under the title of Camasty Dam (CMFD), which is effective in reality in hydroelectric power generation and irrigation dams. The support of the resolution predicted these important problems. The imitation of this model is used to quantify the changes in river mode and flood dynamics in the Mekong River pool (MRB). First, in order to provide a comprehensive evaluation of the changes in the tonship of the lake, the largest lake in Southeast Asia, the current subbatasin will be implemented using the unique water literature of BR M-TONSIP. The following shows the main information on the changes in the river system of the entire BRS and the momentum of floods, focusing on the differences between the seasonal conditions and the effects of the dumb to water reorganization and the effects of the dam. Finally, while considering the approaching climate and the planned dam formation, we considered the river system and extreme mode of the whole earth BRM as a whole. (1) The trends on the Mekong River are still suitable for climate change, but the dam construction has the momentum of the floods of the Mekong River, especially in the latter half of 2010 (2) Dams gradually gradually the flood flow of the Mekong River. Reduced (3) Dam gradually decreases the flood flow rate of the Mekong River (4) The dam gradually decreases the flood flow rate of the Mekong River (5) Dam gradually reduces the flood flow rate of the Mekong River. 。

Faculty of Civil Engineering Engineering

Name Cello Santos

Date: Wednesday, July 10, 2024 12:00

In the Doctor Doctor Bora Zitin, under the title of Camasty Dam (CMFD), which is close to reality in hydroelectric power generation and irrigation dams, the high resolution of rivers-Poma-Orozenchonery Support predicted these important issues. The imitation of this model is used to quantify the changes in river mode and flood dynamics in the Mekong River pool (MRB). First, in order to provide a comprehensive evaluation of the changes in the lake, the largest lake in Southeast Asia, the current subbatasin will be implemented using the unique water literature of BR M-TONSIP. The following shows the main information on the changes in the river system of the entire BRS and the momentum of floods, focusing on the differences between the seasonal conditions and the effects of the dumb to water reorganization and the effects of the dam. Finally, while considering the approaching climate and the planned dam formation, we considered the river system and extreme mode of the whole earth BRM as a whole. (1) The trends on the Mekong River are still suitable for climate change, but the dam construction has the momentum of the floods of the Mekong River, especially in the latter half of 2010 (2) Dams gradually gradually flood floods on the Mekong River. Reduced (3) Dam gradually decreases the flood flow rate of the Mekong River (4) Dam gradually decreases the flood flow rate of the Mekong River (5) Dam gradually reduces the flood flow rate of the Mekong River. 。

Faculty of Civil Engineering Engineering

Department of Information Engineering

Date: Wednesday, July 10, 2024 12:00

Instruction Teacher Doctor Bora Zitin

Lon g-term operation of the road surface depends on ensembles of groun d-mechanics, a incoherent material used to build road dressing. When the road surface is repeatedly loaded, its power is transmitted through the elements of the aggregate, all kinds of layers (that is, lower and soil). The quality of the material, the slope, density, plastic index, impact, aggregate composition, strictness (m (M) elastic module (M))

), Drainage, is an important characteristic that promotes drainage and stress distribution, and protects the road surface from the destruction of cracks and dragging. For example, the amount of inflated clay changes greatly when the humidity changes. In other words, a strong pressure is given to the structure of the road surface, and the road surface is dried at a dry season.

The cause and the lower layer contribute to the drainage of the road surface and protect the foundation from unnecessary transport loads. In the standard, natural aggregates are used in the construction of the road surface. However, due to prices, environmental impacts, and lack of natural fillers, regenerative concrete aggregates (RCAs) began to be applied as candidates. The RCA crushed grade provides delicious mechanical excellent quality, such as the highest rigor compared to natural aggregates (GM). However, the existence of no n-hydride cement and cement mortar contained in the RCA may affect the lon g-term characteristics and drainage of the road surface, which can actually lead to great destruction. It is not carefully considered that RCA is considered a more strict and permanent option, and its quality has not been fully considered. Apart from this, there is no only concept of the influence of the indicators of ground material for groun d-quality quality such as RCA so far. For example, it is a natural filler used to build a layer of the road surface. Lon g-term operation of the road surface depends on ensembles of the groun d-mechanics of incoherent materials used to build road dressing. When the road surface is repeatedly loaded, its power is transmitted through the elements of the aggregate, all kinds of layers (that is, lower and soil). The quality of the material, the slope, density, plastic index, impact, aggregate composition, strictness (m (M) elastic module (M))

Department of Information Engineering

The cause and the lower layer contribute to the drainage of the road surface and protect the foundation from unnecessary transport loads. In the standard, natural aggregates are used in the construction of the road surface. However, due to prices, environmental impacts, and lack of natural fillers, regenerative concrete aggregates (RCAs) began to be applied as candidates. The RCA crushed grade provides delicious mechanical excellent quality, such as the highest rigor compared to natural aggregates (GM). However, the existence of no n-hydride cement and cement mortar contained in the RCA may affect the lon g-term characteristics and drainage of the road surface, which can actually lead to great destruction. It is not carefully considered that RCA is considered a more strict and permanent option, and its quality has not been fully considered. Apart from this, there is no only concept of the influence of the indicators of ground material for groun d-quality quality such as RCA so far. For example, it is a natural filler used to build a layer of the road surface. Lon g-term operation of the road surface depends on ensembles of groun d-mechanics, a incoherent material used to build road dressing. When the road surface is repeatedly loaded, its power is transmitted through the elements of the aggregate, all kinds of layers (that is, lower and soil). The quality of the material, the slope, density, plastic index, impact, aggregate composition, strictness (m (M) elastic module (M))

The cause and the lower layer contribute to the drainage of the road surface and protect the foundation from unnecessary transport loads. In the standard, natural aggregates are used in the construction of the road surface. However, due to prices, environmental impacts, and lack of natural fillers, regenerative concrete aggregates (RCAs) began to be applied as candidates. The RCA crushed grade provides delicious mechanical excellent quality, such as the highest rigor compared to natural aggregates (GM). However, the existence of no n-hydride cement and cement mortar contained in the RCA may affect the lon g-term characteristics and drainage of the road surface, which can actually lead to great destruction. It is not carefully considered that RCA is considered a more strict and permanent option, and its quality has not been fully considered. Apart from this, there is no only concept of the influence of the indicators of ground material on groun d-mechanics quality such as RCA so far. For example, it is a natural filler used to build a layer of the road surface.

In order to solve these problems in various sections of roads built in Michigan, no n-interference materials (RCA and GM) and soil interference materials were collected. A comprehensive evaluation was performed to understand how the index characteristics affect: 1) Response to the stress deformation of the soil infrastructure (that is, the sand and clay) and the bedrock (that is, RCA and GM) ) The time required to drain 50%of the saturation layer of the soil infrastructure (dependence on the water coefficient, the water content, the absorption of matrix). The response to the stress and deformation of the no n-interference basis of the sand and fine grains was evaluated using the concept of NCHRP and Shake Down. In accordance with the gradient and plastic index, the material was cured under the stress, and the effect of the strain was cured, then softened in the strain of strain, and softened in the stress. Further analysis was performed to understand the pressure and stress dependence on these materials. In order to examine the effects of index characteristics for RCA and GM, the dimensions were reduced using the main component analysis (PCA), and the laws in the dataset were identified. Six materials were selected based on the results of.

Department of Information Engineering

Name Kialon Nathan Hamilton

Date: Wednesday, July 3, 2024 12:00

Interview teachers Dr. Yiming Deng In order to solve these problems in various sections of roads built in Michigan, no n-interference materials (RCA and GM) and soil no n-negotiating materials are collected. Ta. A comprehensive evaluation was performed to understand how the index characteristics affect: 1) Response to the stress deformation of the soil infrastructure (that is, the sand and clay) and the bedrock (that is, RCA and GM) ) The time required to drain 50%of the saturation layer of the soil infrastructure (dependence on the water coefficient, the water content, the absorption of matrix). The response to the stress and deformation of the no n-interference basis of the sand and fine grains was evaluated using the concept of NCHRP and Shake Down. In accordance with the gradient and plastic index, the material was cured under the stress, and the effect of the strain was cured, then softened in the strain of strain, and softened in the stress. Further analysis was performed to understand the pressure and stress dependence on these materials. In order to examine the effects of index characteristics for RCA and GM, the dimensions were reduced using the main component analysis (PCA), and the laws in the dataset were identified. Six materials were selected based on the results of.

Faculty of Electrical Information Engineering

Name Kialon Nathan Hamilton

Date: Wednesday, July 3, 2024 12:00

In order to solve these problems in various sections of roads built in Michigan in Michigan Dr. YIMING DENG, no n-interference materials with different index characteristics were collected. A comprehensive evaluation was performed to understand how the index characteristics affect: 1) Response to the stress deformation of the soil infrastructure (that is, the sand and clay) and the bedrock (that is, RCA and GM) ) The time required to drain 50%of the saturation layer of the soil infrastructure (dependence on the water coefficient, the water content, the absorption of matrix). The response to the stress and deformation of the no n-interference basis of the sand and fine grains was evaluated using the concept of NCHRP and Shake Down. In accordance with the gradient and plastic index, the material was cured under the stress, and the effect of the strain was cured, then softened in the strain and softened in the stress. Further analysis was performed to understand the pressure and stress dependence on these materials. In order to examine the effects of index characteristics for RCA and GM, the dimensions were reduced using the main component analysis (PCA), and the laws in the dataset were identified. Six materials were selected based on the results of.

Faculty of Electrical Information Engineering

Name Kialon Nathan Hamilton

Department of Information Engineering

Inspired Teacher Dr. Yiming Deng

No n-destruction (NDE) 4. 0 is a new approach to automation of material management using innovative industrial technology 4. 0. In such an innovative approach, comprehensive data can be collected and analyzed to evaluate physical components that require verification, and otherwise, there is a risk of structural destruction. Masu. Verification of conductive materials is possible by surface scanning procedure such as Vortex Testing (ECT). The ECT explores the defect of conductive materials using electromagnetic induction. In the case of this paper, corrosion can be detected using ECT before corrosion progresses and damage to larger parts. Corrosion is metal "cancer" and has billions of irreversible losses every year. In some cases, corrosion may occur under paint, and it may be almost invisible in visual inspection. You can use ECT on site, but many parts require hig h-speed and reliable scanning procedures. Hig h-speed scan can be realized by using multiple coils to expand the scan area or reduce scanning time. The ECA also has a variety of compositions that are useful for data analysis. No n-destructive (NDE) 4. 0 is a new approach to automation of material management using innovative industrial technology 4. 0. In such an innovative approach, comprehensive data can be collected and analyzed to evaluate physical components that require verification, and otherwise, there is a risk of structural destruction. Masu. Verification of conductive materials is possible by surface scanning procedure such as Vortex Testing (ECT). The ECT explores the defect of conductive materials using electromagnetic induction. In the case of this paper, corrosion can be detected using ECT before corrosion progresses and damage to larger parts. Corrosion is metal "cancer" and has billions of irreversible losses every year. In some cases, corrosion may occur under paint, and it may be almost invisible in visual inspection. You can use ECT on site, but many parts require hig h-speed and reliable scanning procedures. Hig h-speed scan can be realized by using multiple coils to expand the scan area or reduce scanning time. The ECA also has a variety of compositions that are useful for data analysis. No n-destruction (NDE) 4. 0 is a new approach to automation of material management using innovative industrial technology 4. 0. In such an innovative approach, comprehensive data can be collected and analyzed to evaluate physical components that require verification, and otherwise, there is a risk of structural destruction. Masu. Verification of conductive materials is possible by surface scanning procedure such as Vortex Testing (ECT). The ECT explores the defect of conductive materials using electromagnetic induction. In the case of this paper, corrosion can be detected using ECT before corrosion progresses and damage to larger parts. Corrosion is metal "cancer" and has billions of irreversible losses every year. In some cases, corrosion may occur under paint, and it may be almost invisible in visual inspection. You can use ECT on site, but many parts require hig h-speed and reliable scanning procedures. Hig h-speed scan can be realized by using multiple coils to expand the scan area or reduce scanning time. The ECA also has a variety of compositions that are useful for data analysis.

A new method of "rays and triangular edges" has been developed and a flow line can be created on the grid of the grid template. The scheme used can be summarized by each sensor to scan the plane. To be able to do this, the scan for controlling the U T-carbon fiber is basically proven by the introduction of the scheme. As a result, the maximum depth of the sensor is not important, which is not important. Has 32 channels, and can operate at a frequency of 500Hz by the introduction of unconditional scan mode, and the effects of the ECA scan by the introduction of a fairly small depth. For example, when planning an exercise line or comparing the bones, it was shown to be inevitable to the other impact on each coil. , The mode of "full" scanning that uses a larger image for the coil and a scan of normal images considered to be "hig h-speed" scan. Other mistakes were also considered, and these were considered as heating. I also took into account Miss, which is G.

Faculty of Civil Engineering, mainly on Wednesday

Department of Information Engineering

Time: Tuesday, July 2, 2024 1:00 am

Advisor: N/A New method of rays and triangle "has been developed, and a flow line can be created on the grid of the grid template. The scheme used to scan the plane. As a result of each sensor, the scan for controlling the U T-carbon fibers was basically demonstrated. As the sensor is placed near the plane, the distance from the sensor or the maximum depth of 0, 05 mm is not important. Is important, with a 32 channel, and the introduction of a fairly small depth of the 500Hz. As a result of examining the effects of the ECA scan, for example, when planning an exercise line or comparing bones, it was indicated that an important error was actually distinguished. To understand other impacts, a "full" scan mode that uses a larger image for the coil and a scan of normal images considered to be "hig h-speed" scan. Other mistakes were also considered, and these were considered as heating. I also took into account Miss, which is G.

Faculty of Civil Engineering, mainly on Wednesday

Name August Massier Hill

Time: Tuesday, July 2, 2024 1:00 am

Advisor: A new method of N/A rays and triangle "has been developed, and a flow line can be created on the grid of the grid template. The schemes used are each sensor for scanning the plane. The scan for controlling the U T-carbon fiber is basically demonstrated in the introduction of the scheme, so that it can be summarized. As is located near, the distance between the sensor or the maximum depth of 0, 05 mm is not important. There is a 32 channel, and it can work on a 500Hz frequency by introducing an unconditional scan mode. As a result of examining the impact, for example, when planning an exercise line or comparing bones, it was shown that an important error was inevitable and the other effects were distinguished. In order to understand, a "full" scan mode, which uses a larger image for the coil, and a scan of a normal image considered to be a "hig h-speed" scan. Other mistakes were also considered, and these were considered as heating. I also took into account Miss, which is G.

Name August Massier Hill

Time: Tuesday, July 2, 2024 1:00 am

Advisor: N/A

Fire is a serious threat to the bridge, which often leads to damage and collapse of system components. A fire on the bridge generally occurs due to traffic accidents and overturns of vehicles that transport large amounts of combustible materials near the bridge. Such fire has become increasingly issues in the past 10 years due to the progress of urbanization and the increase in transportation of no n-secure substances. It is characterized by rapidly generated high temperatures (1000 ° C or higher), which has a significant effect on the stability and integrity of the system configuration parts. Ignoring such dangers, the standards and stereotypes of bridges that are generally accepted are not effectively stipulated in the design and construction of bridges, and the main traffic infrastructure is effectively fire. It is dangerous.

In recent years, there have been some research on fire responses to iron bridges and synthetic bridges, but no research specializes in concrete bridge fire response. Furthermore, the structure of the intensive reinforced concrete, which was originally used intensively, is designed in a narrow cross section to reduce human body weight and ensure a huge amount of clearance. -There is. Although the conventional concrete system has good fire extinguishing characteristics, new concrete type frames such as hig h-tension concrete (HPC) and ultr a-hig h-performance concrete (UHPC) lose mechanical characteristics when high temperatures. It is easy to receive the effects of cracks due to flame.

In order to deal with some gaps in the identified knowledge, experimental and numerical research on the fire response of the concrete bridge girder was conducted. As part of the experimental research, concrete's gap water pressure was measured at high temperatures in order to evaluate the device that caused concrete flam e-induced cracks. In addition, a shear intensity test was conducted in order to evaluate the deterioration of shifting strength due to the temperature of the UHPC. In addition to experimental research, we have developed a numerical model based on a finite factor to monitor the response of concrete bridge girder under fire conditions. This model contains all the expected fire scenarios, load conditions, and temperatur e-dependent and mechanical characteristics of steel and concrete, and was verified using fire test data. In order to create a typical bridge fire scenario, a fire dynamics simulation was implemented and incorporated into the model. Fire is a serious threat to the bridge, often leading to damage and collapse of system components. A fire on the bridge generally occurs due to traffic accidents and overturns of vehicles that transport large amounts of combustible materials near the bridge. Such fire has become increasingly issues in the past 10 years due to the progress of urbanization and the increase in transportation of no n-secure substances. It is characterized by rapidly generated high temperatures (1000 ° C or higher), which has a significant effect on the stability and integrity of the system configuration parts. Ignoring such dangers, the standards and stereotypes of bridges that are generally accepted are not effectively stipulated in the design and construction of bridges, and the main traffic infrastructure is effectively fire. It is dangerous.

In order to deal with some gaps in the identified knowledge, experimental and numerical research on the fire response of the concrete bridge girder was conducted. As part of the experimental research, concrete's gap water pressure was measured at high temperatures in order to evaluate the device that caused concrete flam e-induced cracks. In addition, a shear intensity test was conducted in order to evaluate the deterioration of shifting strength due to the temperature of the UHPC. In addition to experimental research, we have developed a numerical model based on a finite factor to monitor the response of concrete bridge girder under fire conditions. This model contains all the expected fire scenarios, load conditions, and temperatur e-dependent and mechanical characteristics of steel and concrete, and was verified using fire test data. In order to create a typical bridge fire scenario, a fire dynamics simulation was implemented and incorporated into the model. Fire is a serious threat to the bridge, which often leads to damage and collapse of system components. A fire on the bridge generally occurs due to traffic accidents and overturns of vehicles that transport large amounts of combustible materials near the bridge. Such fire has become increasingly issues in the past 10 years due to the progress of urbanization and the increase in transportation of no n-secure substances. It is characterized by rapidly generated high temperatures (1000 ° C or higher), which has a significant effect on the stability and integrity of the system configuration parts. Ignoring such dangers, the standards and stereotypes of bridges that are generally accepted are not effectively stipulated in the design and construction of bridges, and the main traffic infrastructure is effectively fire. It is dangerous.

Many parametric research has been conducted to evaluate the effects of important parameters on concrete bridges. As a result, it was found that the smaller the concrete cross section, the lower the heat resistance, the lower the fire resistance, and the concrete I-shaped beam was more likely to be destroyed because the inside of the beam was high. Other design parameters such as span length and concrete strength also have a significant effect on the fire resistance of the concrete bridge. Furthermore, the fire modeling indicates that the bridge fire is very serious and depends on the geometric characteristics of the bridge. Based on this data, a proposal has been made to improve the fir e-resistant design of the bridge girder. In the case of conventional concrete bridge girder, the fir e-resistant performance can be improved by increasing the cros s-sectional area and limiting the deck to be exposed to high temperatures. In the UHPC structure, the internal compression and collapse can be reduced by adding a polypropylene fiber. Furthermore, as a parameter for evaluating the fir e-resistant performance of the bridge, a bridg e-resistant curve that takes into account the destruction criteria and the thermal gradient according to the length of the beam is proposed. The developed numerical analysis tools have also been applied to analysis of the collapse of the I-95 viaduct in Philadelphia on June 11, 2023.

Keyword reinforced concrete bridge, fire safety, bridge girder, ultr a-high strength concrete

Department of Information Engineering

Name Austin Ferguson

Time: 2024 (Friday) 15:00

Guidance Teacher: Dr. Charles Offrier

Evolution has created a surprising and complex traits in the nature, but it is still difficult to elucidate how the traits have evolved. In particular, what were the most important events in the history of or lower evolution that increased the possibility of a specific trait? Even small changes, such as neutral mutations, could have a significant impact on lon g-term evolution results. Evolutionary biologists have long been interested in the role of historical coincidence in the evolution, but verifying hypotheses on the impact has been difficult and tim e-consuming in the past. 。 Many parametric research has been conducted to evaluate the effects of important parameters on concrete bridges. As a result, it was found that the smaller the concrete cross section, the lower the heat resistance, the lower the fire resistance, and the concrete I-shaped beam was more likely to be destroyed because the inside of the beam was high. Other design parameters such as span length and concrete strength also have a significant effect on the fire resistance of the concrete bridge. Furthermore, the fire modeling indicates that the bridge fire is very serious and depends on the geometric characteristics of the bridge. Based on this data, a proposal has been made to improve the fir e-resistant design of the bridge girder. In the case of conventional concrete bridge girder, the fir e-resistant performance can be improved by increasing the cros s-sectional area and limiting the deck to be exposed to high temperatures. In the UHPC structure, the internal compression and collapse can be reduced by adding a polypropylene fiber. Furthermore, as a parameter for evaluating the fir e-resistant performance of the bridge, a bridg e-resistant curve that takes into account the destruction criteria and the thermal gradient according to the length of the beam is proposed. The developed numerical analysis tools have also been applied to analysis of the collapse of the I-95 viaduct in Philadelphia on June 11, 2023.

Keyword reinforced concrete bridge, fire safety, bridge girder, ultr a-high strength concrete

Department of Information Engineering

Name Austin Ferguson

Time: 2024 (Friday) 15:00

Evolution has created a surprising and complex traits in the nature, but it is still difficult to elucidate how the traits have evolved. In particular, what were the most important events in the history of or lower evolution that increased the possibility of a specific trait? Even small changes, such as neutral mutations, could have a significant impact on lon g-term evolution results. Evolutionary biologists have long been interested in the role of historical coincidence in the evolution, but verifying hypotheses on the impact has been difficult and tim e-consuming in the past. 。 Many parametric research has been conducted to evaluate the effects of important parameters on concrete bridges. As a result, it was found that the smaller the concrete cross section, the lower the heat resistance, the lower the fire resistance, and the concrete I-shaped beam was more likely to be destroyed because the inside of the beam was high. Other design parameters such as span length and concrete strength also have a significant effect on the fire resistance of the concrete bridge. Furthermore, the fire modeling indicates that the bridge fire is very serious and depends on the geometric characteristics of the bridge. Based on this data, a proposal has been made to improve the fir e-resistant design of the bridge girder. In the case of conventional concrete bridge girder, the fir e-resistant performance can be improved by increasing the cros s-sectional area and limiting the deck to be exposed to high temperatures. In the UHPC structure, the internal compression and collapse can be reduced by adding a polypropylene fiber. Furthermore, as a parameter for evaluating the fir e-resistant performance of the bridge, a bridg e-resistant curve that takes into account the destruction criteria and the thermal gradient according to the length of the beam is proposed. The developed numerical analysis tools have also been applied to analysis of the collapse of the I-95 viaduct in Philadelphia on June 11, 2023.

Keyword reinforced concrete bridge, fire safety, bridge girder, ultr a-high strength concrete

Department of Information Engineering

Name Austin Ferguson

Instructor: Dr. Charles Offrier

Evolution has created a surprising and complex traits in the natural world, but it is still difficult to elucidate how the traits have evolved. In particular, what were the most important events in the history of or lower evolution that increased the possibility of a specific trait? Even small changes, such as neutral mutations, could have a significant impact on lon g-term evolution results. Evolutionary biologists have long been interested in the role of historical coincidence in the evolution, but verifying hypotheses on the impact has been difficult and tim e-consuming in the past. 。

Here, we use the speed and power of digital evolution to experimentally verify the roles of historical coincidence in evolution. I first start by observing how expressio n-type plastic evolution will stabilize the dynamics of future evolution. Next, it is empirically verified how historical mutations in history increase the probability of developing association learning using analytical reproduction experiments. I have shown that individual mutations can dramatically increase the probability of training and change them from rare opportunities to inevitable things, and have studied such "enhanced" mutations. I found that it exists in all studies. Finally, I use the strengthening mutation to intuitively think about how adaptive impulse increases evolutionary search in groups that do not experience anything.

We have just begun to study how historic accidents have an effect on evolution, but the digital evolution system verifies these hypotheses and improves the use of natural creatures. This process can accelerate. This research and similar research shows how the individuals have evolved, how the history currently being built has an impact on individual groups, and how the population is far in the future. It is extremely important to understand if there is a possibility.

Faculty of Mechanical Engineering

Name Name Sai Glpasad Jackal

Time: 2024 (Friday) 13:00

Advisor: Dr. Andre Benar, S. Venga Dessan

Most devices used in the industry are operated in the turbulent power mode. Designing such a device requires a lot of repetitions, and often uses computer modeling. The turbulent modeling takes a huge amount of calculation costs and time. In this study, we will study the various models of the turbulence in the design of the cyclone separator and the new plate heat exchanger and its use. Study the characteristics of different models and use the modeling results to give ideas and proposals for recalculating these two important systems. Hydro cyclones and thermal exchanges are widely used in the industry. Here, the role of historical coincidence in evolution is experimentally verified using the speed and power of digital evolution. I first start by observing how expressio n-type plastic evolution will stabilize the dynamics of future evolution. Next, it is empirically verified how historical mutations in history increase the probability of developing association learning using analytical reproduction experiments. I have shown that individual mutations can dramatically increase the probability of training and change them from rare opportunities to inevitable things, and have studied such "enhanced" mutations. I found that it exists in all studies. Finally, I use the strengthening mutation to develop intuitive ideas on how adaptive impulse increases evolutionary search in groups that do not experience anything.

Faculty of Mechanical Engineering

Name Name Sai Glpasad Jackal

Time: 2024 (Friday) 13:00

Advisor: Dr. Andre Benar, S. Venga Dessan

Most devices used in the industry are operated in the turbulent power mode. Designing such a device requires a lot of repetitions, and often uses computer modeling. The turbulent modeling takes a huge amount of calculation costs and time. In this study, we will study the various models of the turbulence in the design of the cyclone separator and the new plate heat exchanger and its use. Study the characteristics of different models and use the modeling results to give ideas and proposals for recalculating these two important systems. Hydro cyclones and thermal exchanges are widely used in the industry. Here, we use the speed and power of digital evolution to experimentally verify the roles of historical coincidence in evolution. I first start by observing how expressio n-type plastic evolution will stabilize the dynamics of future evolution. Next, it is empirically verified how historical mutations in history increase the probability of developing association learning using analytical reproduction experiments. I have shown that individual mutations can dramatically increase the probability of training and change them from rare opportunities to inevitable things, and have studied such "enhanced" mutations. I found that it exists in all studies. Finally, I use the strengthening mutation to intuitively think about how adaptive impulse increases evolutionary search in groups that do not experience anything.

Faculty of Mechanical Engineering

Name Name Sai Glpasad Jackal

Time: 2024 (Friday) 13:00

Advisor: Dr. Andre Benar, S. Venga Dessan

Insufficient awareness of the flow of the flow in the cyclone separator has a main meaning for its effective application. The turbulence of the water jet is modeled by supporting uranium, huge whirlpool modeling (LES), and average hybrid turbulence model LES/ Reynolds. The hybrid LES/Rans approach was taken into account only the modeling (DS) due to non-connected whirlpool, modeling (DDES) with delayed delay, and extension modeling (IDDES) based on delay explosion vortex based on the K-AMEGA SSST Rans approach. This study conducted three types of rush speeds. The results of the LES/Rans hybrid model were completely consistent with the experimental data available in the literature. The LES/Rans hybrid model can reduce the calculation time and reduce the grid volume compared to the classic LES method. There is a Reynolds voltage that realizes redistribution of turbulent energy in the background of the flow. We are studying speed profiles and whirlpools to understand the behavior of water jets in Cyclone Separators. A clearer forecast of the turbulence value with the support of the hybrid model has the potential to support the optimal modeling of multiple interactions. Advanced

The supe r-critical cycle of the CO2 operated in the highest efficiency requires a fresh heat exchanger that can operate for tens of thousands of hours at the maximum temperature (800 ° C or higher) and pressure (80 BAR or more). In the provided paper, we examine a deteriorated iron plate heat exchanger that can withstand the maximum temperature and pressure, and thank the S-shaped ribs that have just rotated. To improve the data of the heat exchanger, a 3 D-shaped S-shaped rib has been developed. The ribs are filled in this way, actually causing the flow in the flow, leading to improving thermal traditions. Nicke l-based Heins 214 Super Payer is used as a material for the heat exchanger plate and ribs. The heat exchangers were introduced and made by the introduction of an advanced manipuling. The modeling of the turbulent c o-star heat exchange was performed, and the temperature and pressure profile in the thermal exchanger in the turbulent mode was demanded. Conducted parametric research to determine the 3D performance of the twisted S-shaped ribs. Compare the results of CFD with experiments. Insufficient awareness of the flow of the flow in the cyclone separator has the main meaning for its effective application. The turbulence of the water jet is modeled by supporting uranium, huge whirlpool modeling (LES), and average hybrid turbulence model LES/ Reynolds. The hybrid LES/Rans approach was taken into account only the modeling (DS) due to non-connected whirlpool, modeling (DDES) with delayed delay, and extension modeling (IDDES) based on delay explosion vortex based on the K-AMEGA SSST Rans approach. This study conducted three types of rush speeds. The results of the LES/Rans hybrid model were completely consistent with the experimental data available in the literature. The LES/Rans hybrid model can reduce the calculation time and reduce the grid volume compared to the classic LES method. There is a Reynolds voltage that realizes redistribution of turbulent energy in the background of the flow. We are studying speed profiles and whirlpools to understand the behavior of water jets in Cyclone Separators. A clearer forecast of the turbulence value with the support of the hybrid model has the potential to support the optimal modeling of multiple interactions. Advanced

The supe r-critical cycle of the CO2 operated in the highest efficiency requires a fresh heat exchanger that can operate for tens of thousands of hours at the maximum temperature (800 ° C or higher) and pressure (80 BAR or more). In the provided paper, we examine a deteriorated iron plate heat exchanger that can withstand the maximum temperature and pressure, and thank the S-shaped ribs that have just rotated. To improve the data of the heat exchanger, a 3 D-shaped S-shaped rib has been developed. The ribs are filled in this way, actually causing the flow in the flow, leading to improving thermal traditions. Nicke l-based Heins 214 Super Payer is used as a material for the heat exchanger plate and ribs. The heat exchangers were introduced and made by the introduction of an advanced manipuling. The modeling of the turbulent c o-star heat exchange was performed, and the temperature and pressure profile in the thermal exchanger in the turbulent mode was demanded. Conducted parametric research to determine the 3D performance of the twisted S-shaped ribs. Compare the results of CFD with experiments. Insufficient awareness of the flow of the flow in the cyclone separator has a main meaning for its effective application. The turbulence of the water jet is modeled by supporting uranium, huge whirlpool modeling (LES), and average hybrid turbulence model LES/ Reynolds. The hybrid LES/Rans approach was taken into account only the modeling (DS) due to non-connected whirlpool, modeling (DDES) with delayed delay, and extension modeling (IDDES) based on delay explosion vortex based on the K-AMEGA SSST Rans approach. This study conducted three types of rush speeds. The results of the LES/Rans hybrid model were completely consistent with the experimental data available in the literature. The LES/Rans hybrid model can reduce the calculation time and reduce the grid volume compared to the classic LES method. There is a Reynolds voltage that realizes redistribution of turbulent energy in the background of the flow. We are studying speed profiles and whirlpools to understand the behavior of water jets in Cyclone Separators. A clearer forecast of the turbulence value with the support of the hybrid model has the potential to support the optimal modeling of multiple interactions. Advanced

As a result of the research in this paper, the improvement structure of the cyclone parator has been developed, and the life expectancy due to reduced erosion (up to 90 %) has been improved without any efficient damage. 3D Visible S-shaped ribs provide the highest efficiency (PEC) compared to S-shaped ribs. Productivity is increased by 10 to 13 %. Using 3D visible S-shaped S-shaped ribs (up to 75 %) will reduce the need for pumping.

Civil Engineering and Environmental Construction Division

Name Chen Peng

Date and time: Thursday, June 27, 2024 10:00 am

Advisor Dr Karim Chatti, Dr Bora Tsitin~Accurately predict the deformation response at the time of load load is extremely important for the flexible road coating design using a mechanical embedded approach, especially in the context of a general paved ME method. These deformities are directly used when calculating or predicting coating damage. The rigidity of asphalt concrete (AB), the top layer of the flexible road surface, depends on the frequency and temperature of the load due to its viscosity. Usually, the mechanical behavior of AB is characterized by a curve of the dynamic elasticity (E*) obtained as a result of the laboratory test in a singl e-axis sine wave load. Complete dynamic viscous map analysis can accurately predict critical deformation, but requires large calculation costs. Therefore, Pavement Me determines the elasticity of the AC layer in a specific axial load using a linear analysis of each layer based on the concept of "equivalent load frequency". However, this method has a limit to accurately predicting the AC layer deformation.

Civil Engineering and Environmental Construction Division

Name Chen Peng

Date and time: Thursday, June 27, 2024 10:00 am

Advisor Dr Karim Chatti, Dr Bora Tsitin

Accurately predict the deformation response at the time of load load is extremely important for the flexible road coating design using a mechanical embedded approach, especially in the context of a general paved ME method. These deformities are directly used when calculating or predicting coating damage. The rigidity of asphalt concrete (AB), the top layer of the flexible road surface, depends on the frequency and temperature of the load due to its viscosity. Usually, the mechanical behavior of AB is characterized by a curve of the dynamic elasticity (E*) obtained as a result of the laboratory test in a singl e-axis sine wave load. Complete dynamic viscous map analysis can accurately predict critical deformation, but requires large calculation costs. Therefore, Pavement Me determines the elasticity of the AC layer in a specific axial load using a linear analysis of each layer based on the concept of "equivalent load frequency". However, this method has a limit to accurately predicting the AC layer deformation.

In this paper, we propose two new frequency calculation methods, "center PSD" and "equivalent frequency". The former calculates the frequency based on the suspension spectrum density of the vertical voltage pulse induced by axial load, and the latter is the deformation calculated in accordance with the results of dynamic viscous analysis in the mobile load. Adjust the frequency up to. The accuracy of these methods is evaluated by the result of the dynamic viscous analysis in the mobile load, along with the Pavement ME method. As a result of the research in this paper, the improvement structure of the cyclone parator has been developed, and the life expectancy due to reduced erosion (up to 90 %) has been improved without any efficient damage. 3D Visible S-shaped ribs provide the highest efficiency (PEC) compared to S-shaped ribs. Productivity is increased by 10 to 13 %. Using 3D visible S-shaped S-shaped ribs (up to 75 %) will reduce the need for pumping.

Civil Engineering and Environmental Construction Division

Name Chen Peng

Date and time: Thursday, June 27, 2024 10:00 am

Advisor Dr Karim Chatti, Dr Bora Tsitin

In fact, Pavement Me has underestimated surface destruction, and it has been shown that a single and mult i-axis configuration enables reasonable monitoring as the depth increases. A difference in load frequency due to shaft configuration was found, and a correction method based on pulse width and equivalent frequency was proposed. Finally, the lon g-term pavement damage in Michigan's actual plan was predicted using the initial frequency and correction frequency of MEAPA. As a result, it was shown that the difference in botto m-up fatigue cracks predicted using the unique frequency of the Pavement me and the frequent frequency is minor. Compared to the conventional Pavement ME method, the modified frequency is high, depending on the p! Provided prediction.

Department of Information Engineering

Name Name Owendrilla Dobe

Date and time: Friday, June 21, 2024, 11:00 am

Instructor Dr. Borzu Bonakdarpur

Formally, formal verification guarantees the right claims given by the system. My research uses hyperpctl's hyperproperties to explore all the nuances of test model verification of systems, which have been overcome as a Marcov model at an abstract level. In the definition of no n-deterministic, randomization, selective observation possibilities), it is easy to use the current state to determine the future formation of the system due to the elasticity of modeling uncertainty. Therefore, we define the system as a Markov model. HyperPctl enables stochastic hyper propatties formula. Generally, hyperpropath is a question about the importance of the system, which has the potential to formulate the quality associated with security, confidentiality, stability, and efficiency. A wel l-known example is the no n-interference of hidden inputs in public output, observing public output, appropriate athletic route planning in robot engineering, individual faithfulness in models, and attacking synchronous side channels. There is a relationship between different versions of the system. In fact, Pavement me underestimates the surface destruction, and it has been shown that a single and mult i-axis configuration enables reasonable monitoring as the depth increases. A difference in load frequency due to shaft configuration was found, and a correction method based on pulse width and equivalent frequency was proposed. Finally, the lon g-term pavement damage in Michigan's actual plan was predicted using the initial frequency and correction frequency of MEAPA. As a result, it was shown that the difference in botto m-up fatigue cracks predicted using the unique frequency of the Pavement me and the frequent frequency is minor. Compared to the conventional Pavement ME method, the modified frequency is high, depending on the p! Provided prediction.

Department of Information Engineering

Name Name Owendrilla Dobe

Date and time: Friday, June 21, 2024, 11:00 am

Instructor Dr. Borzu Bonakdarpur

Formally, formal verification guarantees the right claims given by the system. My research uses hyperpctl's hyperproperties to explore all the nuances of test model verification of systems, which have been overcome as a Marcov model at an abstract level. In the definition of no n-deterministic, randomization, selective observation possibilities), it is easy to use the current state to determine the future formation of the system due to the elasticity of modeling uncertainty. Therefore, we define the system as a Markov model. HyperPctl enables stochastic hyper propatties formula. Generally, hyperpropath is a question about the importance of the system, which has the potential to formulate the quality associated with security, confidentiality, stability, and efficiency. A wel l-known example is the no n-interference of hidden inputs in public output, observing public output, appropriate athletic route planning in robot engineering, individual faithfulness in models, and attacking synchronous side channels. There is a relationship between different versions of the system. In fact, Pavement Me has underestimated surface destruction, and it has been shown that a single and mult i-axis configuration enables reasonable monitoring as the depth increases. A difference in load frequency due to shaft configuration was found, and a correction method based on pulse width and equivalent frequency was proposed. Finally, the lon g-term pavement damage in Michigan's actual plan was predicted using the initial frequency and correction frequency of MEAPA. As a result, it was shown that the difference in botto m-up fatigue cracks predicted using the unique frequency of the Pavement me and the frequent frequency is minor. Compared to the conventional Pavement ME method, the modified frequency is high, depending on the p! Provided prediction.

Department of Information Engineering

Name Name Owendrilla Dobe

Date and time: Friday, June 21, 2024, 11:00 am

Instructor Dr. Borzu Bonakdarpur

Considering the combination of this model and characteristics, we have expanded the previously proposed HyperPct l-Logic, studied specifications that contain no n-plua minism and rewards, and in a tool called HyperProb, this logic model. We proposed the complexity of the general tasks to be checked and algorithms based on restrictions. The high complexity of this task is to extend the existing open plasmatur, develop algorithms specialized in more scale fragments, and bring an algorithm that checks models based on statistics. It was a further stimulation. Assuming that the HyperPctl characteristics are implemented in the model, we also investigated the parameter synthesis problem when synthesizing unknown parameters in the model. As a whole, we will report research efforts to improve the modern level of quantitative verification of the probability of the stochaov model in the Marcov model.

Name: Han Asahi

Time: 2024 (Monday) 12: 00p.

Inspired Teacher Jiliang Tang

When machine learning (ML) and artificial intelligence (AI) are used for important security tasks, such as detecting autonomous vehicles and financial fraud, their reliability, especially the reliability of enemy attacks. It becomes more and more important. In order to enhance the security of OD, (1) identifies an unfavorable case to detect the weakness of the model, and (2) a highly reliable model that can withstand unfavorable cases. It is necessary to develop a solution. In this report, we will introduce some of our latest research in these two directions. From an attack perspective, we will examine the algorithms of the attack we proposed, which can achieve high efficiency and optimality, especially for discrete data such as text data. In terms of defense, we will consider the "displacement problem" of hostile, which is one of the most common strategies for enhancement of the enemy who is important but is ignored. In addition, we will be motivated by these new results and methods, and discuss the potential areas of future research and the social meaning of these research issues.

Faculty of Computer Science and Engineering

Department of Information Engineering

Date: Thursday, May 30, 2024 12:00

In consideration of the combination of this model and characteristics, we have expanded the previously proposed HyperPct l-Logic, studying specifications that include no n-plaaminism and rewards, and called HyperProb. Among them, we proposed the complexity of the general tasks that check the model of this logic, and an algorithm based on constraints. The high complexity of this task is to extend the existing open plasmatur, develop algorithms specialized in more scale fragments, and bring an algorithm that checks models based on statistics. It was a further stimulation. Assuming that the HyperPctl characteristics are implemented in the model, we also investigated the parameter synthesis problem when synthesizing unknown parameters in the model. As a whole, we will report research efforts to improve the modern level of quantitative verification of the probability of the stochaov model in the Marcov model.

Faculty of Computer Science and Engineering

Name: Han Asahi

Time: 2024 (Monday) 12: 00p.

Inspired Teacher Jiliang Tang

Faculty of Computer Science and Engineering

Name Asadula Hill Galibb

Date: Thursday, May 30, 2024 12:00

Advisor PAN G-NING TAN In consideration of the combination of this model and characteristics, we have expanded the HyperPct l-Logic we have proposed earlier, study no n-plauminism and rewards, and in a tool called HyperProb. We proposed the complexity of the general tasks that check the model of this logic, and the algorithm based on restrictions. The high complexity of this task is to extend the existing open plasmatur, develop algorithms specialized in more scale fragments, and bring an algorithm that checks models based on statistics. It was a further stimulation. Assuming that the HyperPctl characteristics are implemented in the model, we also investigated the parameter synthesis problem when synthesizing unknown parameters in the model. As a whole, we will report research efforts to improve the modern level of quantitative verification of the probability of the stochaov model in the Marcov model.< 2 mL) method with custom PVC bags used in previous work may not illicit similar benefits when scaled up to larger volumes with commercially available blood collection bags. This work overcame these limitations through the design and implementation of an autonomous glucose delivery system that maintained normoglycemia of stored RBCs completely autonomously for 39 days in storage, while also maintaining sterility. This system was then used to store RBCs under normoglycemic conditions and monitor key storage lesion indicators, resulting in reduced osmotic fragility, decreased oxidative stress, and reduced morphological changes. There was also no impact on glycolytic activity or hemolysis levels, improving upon previous work which reported significant hemolysis that surpassed the FDA threshold of 1%. These data solidify and improve upon previous results, indicating that normoglycemic RBC storage results in reduced damages in storage that may translate to better in vivo function. The autonomous glucose delivery system also significantly advances the applicability of the normoglycemic storage technique to clinical practice, making large scale studies now possible. Additionally, a novel rejuvenation therapy was investigated, highlighting the capability of albumin, an abundant plasma protein, to reverse the membrane damages seen during RBC storage, resulting in RBCs closer in shape and size to that of fresh RBCs.

Name: Han Asahi

Time: 2024 (Monday) 12: 00p.

Inspired Teacher Jiliang Tang

Faculty of Computer Science and Engineering

Name Asadula Hill Galibb

Date: Thursday, May 30, 2024 12:00

Advisor Pang-Ning Tan

The accurate modeling of extreme values in time series data is an important but difficult task, and has been attracting attention in recent years. The impact of extreme events on human and natural systems highlights the need for powerful and reliable modeling methods. The purpose of this paper is to develop a new deep learning framework that can effectively model extreme actions in timeline data. In this paper, we introduce four latest deep learning frameworks, DeepExtrema, Self-Recover, Simext, and Fide, and provide promising knowledge for extreme values in timeline data for prediction, impaction, expression learning, and generation modeling. do. DeepExtrema aims to integrate extreme values and excellent learning formulas to enhance the accuracy and reliability of extreme elephant prediction. Self-Recover is working on data fusion issues that arise from different time spans associated with long-term and random predictions. SimeXT explores how strict learning can be applied to learn related timeline expressions that effectively express tailsepoded to model extreme events. Fide introduces relative diffusion models based on frequency inflation, designed to save the pole price in the framework of generated modeling. D

Faculty: Medical Biological Engineering

Department of Information Engineering

Time: Tuesday, May 14, 2024 01:00 am

Inspired Teacher Dr Sudin Bhattacharya The exact modeling of extreme values in time series data is an important but difficult issue, and has recently attracted attention. The impact of extreme events on human and natural systems highlights the need for powerful and reliable modeling methods. The purpose of this paper is to develop a new deep learning framework that can effectively model extreme actions in timeline data. In this paper, we introduce four latest deep learning frameworks, DeepExtrema, Self-Recover, Simext, and Fide, and provide promising knowledge for extreme values in timeline data for prediction, impaction, expression learning, and generation modeling. do. DeepExtrema aims to integrate extreme values and excellent learning formulas to enhance the accuracy and reliability of extreme elephant prediction. Self-Recover is working on data fusion issues that arise from different time spans associated with long-term and random predictions. SimeXT explores how strict learning can be applied to learn related timeline expressions that effectively express tailsepoded to model extreme events. Fide introduces relative diffusion models based on frequency inflation, designed to save the pole price in the framework of generated modeling. D

Faculty: Medical Biological Engineering

Name: Daniel Malay

Time: Tuesday, May 14, 2024 01:00 am

Civil Engineering and Environmental Construction Division

Faculty: Medical Biological Engineering

Name: Daniel Malay

Time: Tuesday, May 14, 2024 01:00 am

Instructor Dr Sudin BhattaCharya

The circuit hour is a molecular vibration that exists in primary and eukary organisms that synchronize physiological processes with external signals and guarantee the indications and survival of the body. These watches are adjusted by the rhythmical expression of the gene, which is sometimes controlled by the rhythmical expression of the gene controlled by occasional, such as cycle of sleep and awakening, body temperature adjustment, liver metabolism, and hormone secretion. If an abnormality occurs in the daily clock network, you may be involved in the onset of several diseases, such as obesity, diabetes, inflammatory diseases, and some kind of cancer. 2. 3. 7. 8-genetic and epigenetic features (combined sequence, DNA shape, Histon modification (convergent sequence, shape of Histon Using), we have developed an interpreted machine learning model to predict liver tissue, kidney, heart DNA and BMAL1. Furthermore, we developed a spatial polymorphic mathematical model of the mammal of mammals in the liver and leaves, and studied intercellular interactions for synchronizing the expression of the don-clocks along the central vein-center axis. Finally, a no n-linear model was developed to understand the spatial axis and time axis of gene expression in the liver, especially in the drug metabolism route.

Name: Guo Chinese Shin

Date: Tuesday, May 14, 2024 9:30 am

Dr. Lee Akatsuki Circut Hour is a molecular vibration that exists in primary and eukary organisms, synchronizing physiological processes with external signals, ensuring physical adaptation and survival. These watches are adjusted by the rhythmical expression of the gene, which is sometimes controlled by the rhythmical expression of the gene controlled by occasional, such as cycle of sleep and awakening, body temperature adjustment, liver metabolism, and hormone secretion. If an abnormality occurs in the daily clock network, you may be involved in the onset of several diseases, such as obesity, diabetes, inflammatory diseases, and some kind of cancer. 2. 3. 7. 8-genetic and epigenetic features (combined sequence, DNA shape, Histon modification (convergent sequence, shape of Histon Using), we have developed an interpreted machine learning model to predict liver tissue, kidney, heart DNA and BMAL1. Furthermore, we developed a spatial polymorphic mathematical model of the mammal of mammals in the liver and leaves, and studied intercellular interactions for synchronizing the expression of the don-clocks along the central vein-center axis. Finally, a no n-linear model was developed to understand the spatial axis and time axis of gene expression in the liver, especially in the drug metabolism route.

Faculty of Computer Science and Engineering₂Name: Guo Chinese Shin

Date: Tuesday, May 14, 2024 9:30 am

Inspired Teacher Lee Akatsuk i-sensei Circut Hour is a molecular vibration that exists in primary and eukaryotes, synchronizing physiological processes with external signals and guarantees the indications and survival of the body. These watches are adjusted by the rhythmical expression of the gene, which is sometimes controlled by the rhythmical expression of the gene controlled by occasional, such as cycle of sleep and awakening, body temperature adjustment, liver metabolism, and hormone secretion. If an abnormality occurs in the daily clock network, you may be involved in the onset of several diseases, such as obesity, diabetes, inflammatory diseases, and some kind of cancer. 2. 3. 7. 8-genetic and epigenetic features (combined sequence, DNA shape, Histon modification (convergent sequence, shape of Histon Using), we have developed an interpreted machine learning model to predict liver tissue, kidney, heart DNA and BMAL1. Furthermore, we developed a spatial polymorphic mathematical model of the mammal of mammals in the liver and leaves, and studied intercellular interactions for synchronizing the expression of the don-clocks along the central vein-center axis. Finally, a no n-linear model was developed to understand the spatial axis and time axis of gene expression in the liver, especially in the drug metabolism route.

Faculty of Computer Science and Engineering

Date: Tuesday, May 14, 2024 9:30 am

Guidance Teacher Lee Akatsuk i-sensei

Voice is the primary way people communicate with each other and interact with computers and smart devices, so it is assumed that people's use of voice should be secure and confidential. However, recent studies have shown vulnerabilities in using voice to communicate with people, authenticate interlocutors, and send messages to smart devices. For example, eavesdroppers can record conversations, adversaries can reproduce the dictator's voice to attack dictator authentication models, and hackers can make speeches to discredit victims or set up scams to elevate themselves for others. The purpose of this report is to understand the root causes of vulnerabilities, solve problems related to ensuring the privacy and security of voice communications, and consider future directions for solving security problems in AI-based voice models and systems. Faculty of Information Engineering

Name: Wang Guanzhen

Time: Monday, May 13, 2024, 13:00

In the field of the Internet of Things (IoT), users, devices, and the environment communicate and interact with each other to form a whole network of complex interactions. This interconnected network of interactions is a powerful tool for extending human capabilities. But at the same time, it also raises serious security and confidentiality issues when users, devices, and media interact with each other.

This paper studies the security and confidentiality issues of interaction IT through optional methods of AI targeting data. First, this paper considers the challenging interactions in "smart homes" where a large number of interconnected mental devices are installed. A danger detection system based on graph research is designed to identify possible interaction hazards on different smart home platforms. Second, considering the difficulties of confidentiality and heterogeneity of data in smart homes, we propose a dynamic clustering based on federated graph research to generally study the hazard detection model. At the same time, we develop a search method based on the Monte Carlo method to identify the interaction basis of the hazard. Third, we study the confidentiality difficulties associated with user-phone interactions. In particular, we identify an attack path that is likely to leak biometric information. This attack path utilizes the adult of the mobile phone to determine facial expressions based on a contrasting interest model. Fourth, we reveal two dangerous difficulties associated with exceeding the interests in the data obtained as a result of user-phone interactions. The proposed danger detection model, the method of considering the concatenation model, the expression judgment model based on acoustics, the model to restore data while maintaining confidentiality with practical criteria, were sold and examined from all angles. The decision of this paper discusses the possibility of subsequent research. It highlights the likely difficulties and skills associated with using AI methods to conclude security and confidentiality in IoT. This paper points the way for future research in the field of improving security and confidentiality for the defense of interactions between users, devices, AI, and the surrounding environment.

Department of Electrical and Information Engineering

Name Kritiksh Dutta

Date and time: Tuesday, May 7, 2024, 15:00

With the spread of online Things (ITS) and wireless sensing grids (WSN), devices and sensors have been widely implemented in all fields, such as wearable devices, mode megalopolis, agriculture, and well predictions. These networks are usually composed of limited resources and nodes that only have ultr a-thin energy. For this reason, it is basically made by network protocols that use rationally inexpensive network resources, minimize energy consumption and support network performance. Standardized protocols cannot control their tasks based on integrated criteria because they cannot adapt to the changing network conditions, such as the heterogeneousness of the topology, the heterogeneity of traffic, and the various other dynamic processes. In this paper, a new paradigm of network protocol synthesis will be developed based on research to remove these shortcomings.

An important concept is that each node with the RinforceMent Learning (RL) mechanism is trained to seek the logic of a protocol that depends on the history to increase the productivity of the network. The behavior of components in various heterogeneous and dynamic network standards is formulated as a Markov process (MDP) assuming inference. The paradigm is implemented in a distributed environment where each node is autonomously learning its own political values without centralized mediation. Various variety of characteristic calculations and local updates based on information calculation and information in order to overcome the limited number of visibility of information in the partially relevant cellular network in such no n-centralized criteria The design method is applied. We are a bottoms for synthesizing access control protocols aimed at improving network performance from all kinds of visibility, such as network capacity, access postponement, energy efficiency, and wireless network bandwidth capacity. We are paying special attention to development. Online Sings (ITS) and wireless sensing grid (WSN) so that devices and sensors are widely implemented in all fields, such as wearable devices, mod e-megalopolis, agricultural, and well predictions. It is. These networks are usually composed of limited resources and nodes that only have ultr a-thin energy. For this reason, it is basically made by network protocols that use rationally inexpensive network resources, minimize energy consumption and support network performance. Standardized protocols cannot control their tasks based on integrated criteria because they cannot adapt to the changing network conditions, such as the heterogeneousness of the topology, the heterogeneity of traffic, and the various other dynamic processes. In this paper, a new paradigm of network protocol synthesis will be developed based on research to remove these shortcomings.

An important concept is that each node with the RinforceMent Learning (RL) mechanism is trained to seek the logic of a protocol that depends on the history to increase the productivity of the network. The behavior of components in various heterogeneous and dynamic network standards is formulated as a Markov process (MDP) assuming inference. The paradigm is implemented in a distributed environment where each node is autonomously learning its own political values without centralized mediation. Various variety of characteristic calculations and local updates based on information calculation and information in order to overcome the limited number of visibility of information in the partially relevant cellular network in such no n-centralized criteria The design method is applied. We are a bottoms for synthesizing access control protocols aimed at improving network performance from all kinds of visibility, such as network capacity, access postponement, energy efficiency, and wireless network bandwidth capacity. We are paying special attention to development. With the spread of online Things (ITS) and wireless sensing grids (WSN), devices and sensors have been widely implemented in all fields, such as wearable devices, mode megalopolis, agriculture, and well predictions. These networks are usually composed of limited resources and nodes that only have ultr a-thin energy. For this reason, it is basically made by network protocols that use rationally inexpensive network resources, minimize energy consumption and support network performance. Standardized protocols cannot control their tasks based on integrated criteria because they cannot adapt to the changing network conditions, such as the heterogeneousness of the topology, the heterogeneity of traffic, and the various other dynamic processes. In this paper, a new paradigm of network protocol synthesis will be developed based on research to remove these shortcomings.

Faculty of Computer Science and Engineering

Name: Hossain Rajabi Fagihi

Time: Tuesday, May 7, 2024, 11:00 am

Instruction Teacher: Dr. PARDZHAMSHIDI

Faculty of Computer Science and Engineering

Name: Hossain Rajabi Fagihi

Time: Tuesday, May 7, 2024, 11:00 am

Instruction Teacher: Dr. PARDZHAMSHIDI

Department of Information Engineering

Faculty of Computer Science and Engineering

Name: Hossain Rajabi Fagihi

Time: Tuesday, May 7, 2024, 11:00 am

Instruction Teacher: Dr. PARDZHAMSHIDI

Procedure textbooks, including recipes, leadership, and textbooks, are serious problems due to the dynamic nature of the world described. These problems are embodied in tasks such as 1) tracking of the entity and its condition (tracking the entity) and 2) the generalization of the process (generalization of the procedure).

The task of the work offered is to make the presentation and thinking of text procedures better by using semantic structures in the input text and imposing constraints on the output model. The paper takes into account the introduction of semantic structures obtained from words in terms of the problem between actions and objects, the semantic analysis of leadership, and the alternative structure of actions. Apart from this, the paper studies the integration of structural and semantic constraints in neural models, leading to the reception of correct alternative and coordinated results against external knowledge. The paper makes important contributions in three main areas: entity monitoring, procedural derivation, and the integration of constraints in exhaustive search.

There are four leading contributions to the entity task:

1) Development of a fresh architecture that effectively encodes the flow of events in the first learned language model,

3) Improvement of the language model as a result of the application of knowledge extracted from the semantic parser and ontological abstraction of actions.

4) Creation of a new evaluation scheme that takes into account delicate semantics in entity tracking.

In terms of procedure generalization, this paper proposes a model of obvious latent location for indirectly controlled procedures, so that the procedure of actions in CV satisfies the order of scales in multimodal directions.

In the field of domain knowledge and deep neural network integration, this paper makes two major contributions,_f1) It contributes to the development of a binding structure that is the connection of logical constraints in first-near neural models.

2) It formed a new ideal for evaluating methods of integrating constraints in five categories of tasks. This ideal introduces a new aspect of evaluation and brings valuable information about the performance of methods of integrating constraints in various tasks._fDepartment of Electrical and Information Engineering_fName: Ehsan Ashri_fDate and Time: 11:00 AM, May 6, 2024₄Ti₃Consultant Physician Andrew Mason_fSupport technology is a powerful tool for evaluating physical health and happiness by monitoring physiological parameters such as exercise and heart rate. However, our comprehensive health condition is affected not only on physiological parameters but also in mental health and environmental factors. Therefore, in pursuing all human happiness, support technology is to monitor various aspects of human health, including environmental parameters that affect physiological health, mental health, human health and happiness. It is necessary to support mult i-modal sensing. Mult i-modal detection algorithm needs to work efficiently, and it is necessary to implement these technologies in real time on a smal l-size platform designed for clinical care, which has limited power. , A challenge occurs. To solve these problems, it is necessary to combine technical practice to psychological and physiological principles. The purpose of this study is to implement a resourc e-saving algorithm to evaluate the parameters of social interaction, which is an important factor in mental health, and monitor physiological and environmental parameters in a miniaturized and efficient way. It is to provide hig h-quality devices for. In this job, a comprehensive data set on human interaction₄Ti₃The support technology Faculty of Computer Science and Engineering is a powerful tool for evaluating physical health and happiness by monitoring physiological parameters such as exercise and heart rate. However, our comprehensive health condition is affected not only on physiological parameters but also in mental health and environmental factors. Therefore, in pursuing all human happiness, support technology is to monitor various aspects of human health, including environmental parameters that affect physiological health, mental health, human health and happiness. It is necessary to support mult i-modal sensing. Mult i-modal detection algorithm needs to work efficiently, and it is necessary to implement these technologies in real time on a smal l-size platform designed for clinical care, which has limited power. , A challenge occurs. To solve these problems, it is necessary to combine technical practice to psychological and physiological principles. The purpose of this study is to implement a resourc e-saving algorithm to evaluate the parameters of social interaction, which is an important factor in mental health, and monitor physiological and environmental parameters in a miniaturized and efficient way. It is to provide hig h-quality devices for. In this job, a comprehensive data set on human interaction

Computer Science and Engineering support technology is a powerful tool for evaluating physical health and happiness by monitoring physiological parameters such as exercise and heart rate. However, our comprehensive health condition is affected not only on physiological parameters but also in mental health and environmental factors. Therefore, in pursuing all human happiness, support technology is to monitor various aspects of human health, including environmental parameters that affect physiological health, mental health, human health and happiness. It is necessary to support mult i-modal sensing. Mult i-modal detection algorithm needs to work efficiently, and it is necessary to implement these technologies in real time on a smal l-size platform designed for clinical care, which has limited power. , A challenge occurs. To solve these problems, it is necessary to combine technical practice and psychological and physiological principles. The purpose of this study is to implement a resourc e-saving algorithm to evaluate the parameters of social interaction, which is an important factor in mental health, and monitor physiological and environmental parameters in a miniaturized and efficient way. It is to provide hig h-quality devices for. In this job, a comprehensive data set on human interaction_fFaculty of Computer Science and Engineering

Name Abdullah Alps

Time: Friday, May 3, 2024, 10:00 AM

Department of Information Engineering

Computations with sparse matrices are considered to be the most important part of the broad foundation of scientific applications in all fields, from molecular dynamics and nuclear physics to data mining and signal processing. Among computations with sparse matrices, computation of individual values occupies an important position that is widely used in the field of high-performance scientific computing. For example, in nuclear physics modeling, one of the more challenging tasks is to consider the inference of large-scale tasks to the individual meanings formed in the computation of nuclear structures. In recent years, many iterative algorithms have been created to solve this problem.

Lancosh and locally appropriate block, conjugate gradient with prepared state (LOBPCG) - two of these well-known iterative eigenvalue computations. Together, these do not suggest the complexity of the computational motifs found in sparse solids. In this work, we describe our efforts to accelerate large-scale eigenvalues with sparse structures by executing them with asynchronous systems, developing hybrid algorithms, and utilizing GPU resources.

First, we evaluate three parallel task models, OpenMP, HPX, and Regent, for Lanczos and LobPCG. We show the advantages of the asynchronous framework on two architectures (Intel Broadwell (multicore processor) and AMD EPYC (latest multicore processor)). We achieve orders of magnitude improvements, for example in execution time and cache performance.

Second, we consider and compare certain iterative methods for solving large-scale problems using individual values formed during nuclear structure calculations. In particular, we determine the probability of using the Lanczos block method and the method of minimizing residuals accelerated by direct inversion of iterative subspaces (RMM-DIIS) in addition to Lanczos and LOBPCG. We show that RMM-DIIS can be effectively connected with Lanczos block and LobPCG to obtain a hybrid Eiggener with preferential properties.

Faculty: Machine Engineering

Name: Michael Hayes

Time: The first day of the week, April 29, 202 4-14:00.

Advisor: Dr andre Benard

Department of Information Engineering

Faculty: Machine Engineering

Name: Michael Hayes

Time: The first day of the week, April 29, 202 4-14:00.

Advisor: Dr andre Benard

Since the renewable energy source is unstable, it is necessary to use energ y-saving technology. One of the promising research fields is thermal chemical energy (TCES), which absorbs and releases heat using hig h-temperature chemical reactions. Despite its promising, it is often difficult to handle and difficult to store lon g-term storage because it is based on storing chemically charged substances at high temperatures. A revolutionary design known as Sofuel (sola r-powered solid thermal chemical fuel) is that the jet is recovered by using the stream of hard jet and gasjet in a particl e-based movable floor reaction device. So that you can enter and exit the reactor. In the past studies, we have succeeded in driving a reduction reactor (charge reactor) based on this concept. This paper describes the development of an oxidative reactor (discharge reactor). Eventually, the issues are related to clarifying accelerato r-based computing architectures to achieve excellent performance in larg e-scale sparse computing. We are particularly interested in the scalability of the Lanczos Kernel and the LobPCG kernel for vector-sparse multiplication (SPMV) and multi-vector-sparse queue (SPMM). We support the nuances of calculation and communication by supporting the optimized CUDA kernel and the hybrid communication method, and extends its performance to hundreds of GPUs.

Faculty: Machine Engineering

Name: Michael Hayes

Advisor: Dr andre Benard

An oxidation ant i-tub e-like device by the movable layer allows hard particles to go back and forth at the temperature of the environment, but this system contains another selection port in the center of the reactor to obtain hig h-temperature technical gas. The bench experiment system was prepared to use a 5mm particles mixed with MGO and MNO at a molar ratio of 1: 1. The experimental reactor system succeeded in independent thermal chemical oxidation at a high temperature exceeding 1000 ° C. Many examinations have been literally achieved, indicating an outstanding strength in lon g-term experiments. With the user control function, the reactor provided an extraction temperature of 950 ° C or higher, indicating an efficiency of up to 41. 3 %. In fact, it became clear that the thermal expansion at the upper part of the particle layer could bring the risk of measurement operations in the upper particle layer during a wide range of experimental campaigns.

In order to understand the reactor dynamics and evaluate the control scheme, we have developed a thre e-phase and on e-dimensional calculation model. This model imitates the behavior obtained during the experiment in the reaction device safely and has three input characteristics of the system (flow velocity of hard drugs, gas selection jet flow velocity, continuous behavior flow velocity of gas collection current). Explained the influence of. A 5 zone adaptive model predictor (MPC) has been developed, and a linearly controlled management model has been controlled by that database. This controller aimed to adjust the size, temperature, and condition of the particle layer of the particle layer while supporting different fresh layouts. These layouts were repeatedly adjusted, clarified, and later used in the experimental device. Future issues include expanding the size of the oxide system, improving energy extraction speed, analysis of appropriate procedures for reaction device booting, and other formulas for control devices.

Name Name Anshur Thomarr

Date: April 26, 2024 (Friday) 11:00 am

Guidance Teacher: Dr. Rangjan Mukeldi

Bernoui pads are often used in no n-contact and displaced operations in the industry, as they may give a large nourdy stress to the object in no n-contact. In addition to the normal force, the pad gives a shearing force, so it can be used for no n-contact blank cleaning. The motivation for this study is to understand the jet physics generated by the Bernu pad so that it can be used for no n-contact cleaning from the hull bi o-face ring. As a result of numerical research, the distribution of shear stress generated by the action of the bellne pad for fine particles was emphasized, indicating that the maximum shear stress was quite close to the neck of the pad. The maximum value of the censure correspondence on the wall is considered to be the indicators necessary to determine the cleaning performance of the Bernu pad. We use numerical modeling for a series of characteristics to create a relationship between the power of the water at the entrance and the maximum shearing force obtained in the plano. In order to increase the disruption of shear shearing, we will investigate the possibility of adding mechanical power to the system in addition to the power of water. The background of the flow between the Bernoue pad and the plano includes the transition from the turbulence to the turbulent jet and the recycling area. The biggest shearing force appears near the recycling area. Bernoui pads are often used in industrial worlds in no n-contact and displacement operations, as they can have a large nourdy stress to the object in no n-contact. In addition to the normal force, the pad gives a shearing force, so it can be used for no n-contact blank cleaning. The motivation for this study is to understand the jet physics generated by the Bernu pad so that it can be used for no n-contact cleaning from the hull bi o-face ring. As a result of numerical research, the distribution of shear stress generated by the action of the bellne pad for fine particles was emphasized, indicating that the maximum shear stress was quite close to the neck of the pad. The maximum value of the censure correspondence on the wall is considered to be the indicators necessary to determine the cleaning performance of the Bernu pad. We use numerical modeling for a series of characteristics to create a relationship between the power of the water at the entrance and the maximum shearing force obtained in the plano. In order to increase the disruption of shear shearing, we will investigate the possibility of adding mechanical power to the system in addition to the power of water. The background of the flow between the Bernoue pad and the plano includes the transition from the turbulence to the turbulent jet and the recycling area. The biggest shearing force appears near the recycling area. Bernoui pads are often used in no n-contact and displaced operations in the industry, as they may give a large nourdy stress to the object in no n-contact. In addition to the normal force, the pad gives a shearing force, so it can be used for no n-contact blank cleaning. The motivation for this study is to understand the jet physics generated by the Bernu pad so that it can be used for no n-contact cleaning from the hull bi o-face ring. As a result of numerical research, the distribution of shear stress generated by the action of the bellne pad for fine particles was emphasized, indicating that the maximum shear stress was quite close to the neck of the pad. The maximum value of the censure correspondence on the wall is considered to be the indicators necessary to determine the cleaning performance of the Bernu pad. We use numerical modeling for a series of characteristics to create a relationship between the power of the water at the entrance and the maximum shearing force obtained in the plano. In order to increase the disruption of shear shearing, we will investigate the possibility of adding mechanical power to the system in addition to the power of water. The background of the flow between the Bernoue pad and the plano includes the transition from the turbulence to the turbulent jet and the recycling area. The biggest shearing force appears near the recycling area.

Using the size analysis, it was directly dependent on the maximum shearing force in the workpiece and the fluid output in the input. In addition, the dependence of the maximum disconnection force and the input Reynolds was obtained, and the results of these larg e-scale dependence were studied. The direct dependence between the power of the fluid and the shift loss in the input is encouraging to increase the shift and effort, and as a result, to explore other ways to supply energy to the system to improve cleaning efficiency. I am. We numerically investigated the Bernoui site. In this site, additional mechanical power is added by the rotation of the site. This additional power is the same as the fluid force at the entrance, and increases both the nod and shift power on the workpiece. In the context of the rotating platform, Bernouy discovered that a stable equilibrium configuration could exist for two different mass charges in the obtained normal gravitation, and a larger mass charge became a larger rigidity in the flow area. I found that it was connected. This phenomenon was not listed in the literature. The distribution of the shift voltage obtained by numerical modeling is first confirmed by experiment. A constant temperature flow speed meter using water was used as a thermal flow sensor and an operating fluid.

Faculty: Chemical Engineering and Material Science

Faculty of Computer Science and Engineering

Time: 2024 (Monday) 10:30 am

Inspired Teacher: Dr. Richard Rantant Size analysis has directly dependent on the maximum shearing stress in the workpiece and the fluid output in input. In addition, the dependence of the maximum disconnection force and the input Reynolds was obtained, and the results of these larg e-scale dependence were studied. The direct dependence between the power of the fluid and the shift loss in the input is encouraging to increase the shift and effort, and as a result, to explore other ways to supply energy to the system to improve cleaning efficiency. I am. We numerically investigated the Bernoui site. In this site, additional mechanical power is added by the rotation of the site. This additional power is the same as the fluid force at the entrance, and increases both the nod and shift power on the workpiece. In the context of the rotating platform, Bernouy discovered that a stable equilibrium configuration could exist for two different mass charges in the obtained normal gravitation, and a larger mass charge became a larger rigidity in the flow area. I found that it was connected. This phenomenon was not listed in the literature. The distribution of the shift voltage obtained by numerical modeling is first confirmed by experiment. A constant temperature flow speed meter using water was used as a thermal flow sensor and an operating fluid.

Faculty: Chemical Engineering and Material Science

Name Christopher Erera

Time: 2024 (Monday) 10:30 am

Inspired Teacher: Using Richard Lantant Dr. Size Analysis, he has directly dependent on the maximum disconnection force in the workpiece and the fluid output in input. In addition, the dependence of the maximum disconnection force and the input Reynolds was obtained, and the results of these larg e-scale dependence were studied. The direct dependence between the power of the fluid and the shift loss in the input is encouraging to increase the shift and effort, and as a result, to explore other ways to supply energy to the system to improve cleaning efficiency. I am. We numerically investigated the Bernoui site. In this site, additional mechanical power is added by the rotation of the site. This additional power is the same as the fluid force at the entrance, and increases both the nod and shift power on the workpiece. In the context of the rotating platform, Bernouy discovered that a stable equilibrium configuration could exist for two different mass charges in the obtained normal gravitation, and a larger mass charge became a larger rigidity in the flow area. I found that it was connected. This phenomenon was not listed in the literature. The distribution of the shift voltage obtained by numerical modeling is first confirmed by experiment. A constant temperature flow speed meter using water was used as a thermal flow sensor and an operating fluid.

Faculty: Chemical Engineering and Material Science

Name Christopher Erera

Guidance Teacher: Dr. Richard Land

Interest in solar power (PV) is steadily increasing with the development of integrated solar power (BIPV). To accelerate the integration of BIPV, a transparent optical electron (TPV) has appeared and can now be installed on glass. Transparent fluorescent light solar cells (TLSC) are a promising approach that achieves high visible light permeability because the module structure on the global lightway is simple. Thanks to the selection of wavelengths of ultraviolet rays (UVs) and nea r-infrared (BIC), TPV and TLSK have 20, 6 % of the theoretical limit PCE for human vision. To date, the PCE value of TLSK is moderate, and the life is often low or not. This paper is improved in various class fluorescent (organic molecules, organic salt, and metal seabed salt) to improve the characteristics and lifespan of TLSK and develop a route to demonstrate future applications in the agricultural field. I specialize in doing it.

Organic cyanine salt is popular as a candidate for TLSC fluoremic fluids because it has a high photomeceness quantum output (PLQY) in the visible area and has a very transitional and selective absorption band. However, the infrared area usually has low light stability and low PLQY. Here, in a thin environment, it shows the amazing effect of yi n-ion metabolism, which significantly increases the life of cyanine salt without greatly changing the passing band or PLQY. With this increase, the life during the lighting was extended from 10 decades to 65. 000 hours or more. By combining experiments and DFT calculations, the lower the absolute energy between the positive ions and i n-ions, the higher the light stability. Next, we predicted the stability of other anions using this model.

Next, to understand the relationship between chemical structure and PLQY, we studied the molecules of this class and the accessor donor (DAD). As part of this DAD-class, we showed a sharp correlation between the solvent environment and the PLQY DAD, which brought a significant increase in PLQY at a value close to 1 and 0. We have produced LSK using these DDAs and reported the performance of the best one component device so far. Interest in solar power (PV) has been steadily increasing with the development of integrated solar power (BIPV). To accelerate the integration of BIPV, a transparent optical electron (TPV) has appeared and can now be installed on glass. Transparent fluorescent light solar cells (TLSC) are a promising approach that achieves high visible light permeability because the module structure on the global lightway is simple. Thanks to the selection of wavelengths of ultraviolet rays (UVs) and nea r-infrared (BIC), TPV and TLSK have 20, 6 % of the theoretical limit PCE for human vision. To date, the PCE value of TLSK is moderate, and the life is often low or not. This paper is improved in various class fluorescent (organic molecules, organic salt, and metal seabed salt) to improve the characteristics and lifespan of TLSK and develop a route to demonstrate future applications in the agricultural field. I specialize in doing it.

Next, to understand the relationship between chemical structure and PLQY, we studied the molecules of this class and the accessor donor (DAD). As part of this DAD-class, we showed a sharp correlation between the solvent environment and the PLQY DAD, which brought a significant increase in PLQY at a value close to 1 and 0. We have produced LSK using these DDAs and reported the performance of the best one component device so far. Interest in solar power (PV) is steadily increasing with the development of integrated solar power (BIPV). To accelerate the integration of BIPV, a transparent optical electron (TPV) has appeared and can now be installed on glass. Transparent fluorescent light solar cells (TLSC) are a promising approach that achieves high visible light permeability because the module structure on the global lightway is simple. Thanks to the selection of wavelengths of ultraviolet rays (UVs) and nea r-infrared (BIC), TPV and TLSK have 20, 6 % of the theoretical limit PCE for human vision. To date, the PCE value of TLSK is moderate, and the life is often low or not. This paper is improved in various class fluorescent (organic molecules, organic salt, and metal seabed salt) to improve the characteristics and lifespan of TLSK and develop a route to demonstrate future applications in the agricultural field. I specialize in doing it.

Faculty of Computer Science and Engineering

Our group has recently shown that metal halide nanoclusters, literally classified by their chemical structure, are promising UV-absorbing phosphors. Substitution of the transition metal from Mo (group 6) to Ta or Nb (group 5) results in an abrupt shift in the transmission and absorption bands, with a clear transition into the near-infrared. We investigate the photophysical properties of these new compounds, compare them with Mo-based clusters, and outline a route for the integration of TPVs and TLSCs.

Finally, we present the first plant-transparent photovoltaic components suitable for agricultural applications. This marks the beginning of a new field of “transparent agricultural photovoltaics” that may effectively eliminate the trade-off between crop yield and energy production. We first investigated the effect of different light intensities and selective wavelength cuts on commercially important crops (basil, petunia, and tomato). Despite the differences in the absorption range of TPV combines, the supply of photosynthetic intensity radiation (PAR; 400-700 nm) photons is considered the most dominant predictor of crop yield and traits, and our results show that blue, green, and scarlet wavelength spectra are essentially of the same relevance for these plants. At a high daily average integrated light dose for photosynthesis of 12 mol-m-2-d-1, the yield and quality of basil and petunia are applicable to paid cultivation. However, even a small reduction in light transmission by TPV reduces the growth and yield of tomatoes. The obtained results indicate that PAR transmission needs to be maximized to make agricultural photovoltaic TPV panels more widely applicable to different crops and regions. We showed that if factory-optimized TPV panels with CPI 10% were installed on about 10% of the total farmland and pastures in the United States, it would be possible to generate 7 TW of electricity, which would essentially double the total energy demand of the United States. Faculty: Mechanical Engineering

Name: Saima Alam

Time: First day of the week of April 23, 2024, 10:00 AM

Advisor: Dr. Norbert Müller

Since the ai r-conditioning system consumes great energy in the automobile system, improving the performance and performance of the air conditioning system can improve the energy and efficiency of the automobile system. In order to improve performance, the improvement of the system of individual components of the ARO system has been a major research focus, and almost all of these improvements have already been sold. Since the air conditioning / repair system automotive system has a nonlinear and dynamic properties, the chance to improve the performance of the integrated unit is due to improving the strategy to manage these systems, only individual components. It is not something that is focused.

With the development of machine learning and programming opportunities, all kinds of new strategies and management methods for no n-linear systems have become noted. To use these algorithms, a "black box" model of a specific air conditioning system purchased from a thorough experimental data is used. These methods have not paid enough attention to creating optimized management characteristics, and do not fully understand how the internal dynamics of the system and how it affects the behavior. 。 Based on this, develop an improved management strategy requires a reliable dynamic model of the automatic air conditioning system based on physics. Air conditioning systems consume great energy in the automobile system, so improving the performance and performance of the air conditioning system can improve the energy and efficiency of the automobile system. In order to improve performance, the improvement of the system of individual components of the ARO system has been a major research focus, and almost all of these improvements have already been sold. Since the air conditioning / repair system automotive system has a nonlinear and dynamic properties, the chance to improve the performance of the integrated unit is due to improving the strategy to manage these systems, only individual components. It is not something that is focused.

With the development of machine learning and programming opportunities, all kinds of new strategies and management methods for no n-linear systems have become noted. To use these algorithms, a "black box" model of a specific air conditioning system purchased from a thorough experimental data is used. These methods have not paid enough attention to creating optimized management characteristics, and do not fully understand how the internal dynamics of the system and how it affects the behavior. 。 Based on this, develop an improved management strategy requires a reliable dynamic model of the automatic air conditioning system based on physics. Since the ai r-conditioning system consumes great energy in the automobile system, improving the performance and performance of the air conditioning system can improve the energy and efficiency of the automobile system. In order to improve performance, the improvement of the system of individual components of the ARO system has been a major research focus, and almost all of these improvements have already been sold. Since the air conditioning / repair system automotive system has a nonlinear and dynamic properties, the chance to improve the performance of the integrated unit is due to improving the strategy to manage these systems, only individual components. It is not something that is focused.

Faculty: Citizen Environmental Engineering

Name Bridgin Miyani

Time: April 22, 2024 (Sun) 1:00 am

Guidance Teacher: Dr. Irene Kusagoraki The purpose of this study is to develop a transient model of the car system for air conditioning cabin thermal pumps regarding the no n-reaction characteristics of the thermal expansion valve used as a expansion device. be. A stea m-compression modul e-type superractive system built with the cooperation of Ford at the University of Moscow has been developed to use su b-critical refrigerant for experimental tests and systems. A method of controlling the electric expansion valve was developed based on the dynamic recognition of the thermal expansion valve. This electric expansion valve must work more than, for example, except for the thermal expansion valve in the system. The modeling result of the thermal pump cycle matches the experimental result and the optimal error, and the coefficient of the desirable effects of the system due to the control strategy of the developed electric expansion valve was recognized as an equivalent cycle with an estimated constant swelling valve. 。 This work allows you to easily walk from TXV system to EXV system, and recommend hardware characteristics and control characteristics for the merits of this performance value in the automobile system. Apart from this, we can analyze the generalized transmission function of the component and recommend an improved EXV system.

Faculty: Citizen Environmental Engineering

Name Bridgin Miyani

Time: April 22, 2024 (Sun) 1:00 am

Guidance Teacher: Doctor of Irene Kusagoraki Doctor's purpose is to develop a transitional model of the air conditioning cabin thermal pump automotive system regarding the no n-reaction characteristics of a thermal expansion valve used as a expansion device. A stea m-compression modul e-type superractive system built with the cooperation of Ford at the University of Moscow has been developed to use su b-critical refrigerant for experimental tests and systems. A method of controlling the electric expansion valve was developed based on the dynamic recognition of the thermal expansion valve. This electric expansion valve must work more than, for example, except for the thermal expansion valve in the system. The modeling result of the thermal pump cycle matches the experimental result and the optimal error, and the coefficient of the desirable effects of the system due to the control strategy of the developed electric expansion valve was recognized as an equivalent cycle with an estimated constant swelling valve. 。 This work allows you to easily walk from TXV system to EXV system, and recommend hardware characteristics and control characteristics for the merits of this performance value in the automobile system. Apart from this, we can analyze the generalized transmission function of the component and recommend an improved EXV system.

Faculty: Citizen Environmental Engineering

Name Bridgin Miyani

Department of Information Engineering

Guidance Teacher: Dr. Irene Kusagorakaraki

The recent Covid-19 pandemic has highlighted the importance of wastewater-based epidemiology (WBE) for effectively monitoring and predicting infectious viral disease outbreaks. Traditional disease identification systems are based on identifying infectious agents through diagnostic analysis of clinical samples, often after a disease outbreak has been confirmed. Such surveillance systems lack the ability to predict flash outbreaks, as it is not possible to monitor every person in society for every viral infection that may emerge. Deshelled wastewater serves as a sample that can be tested to identify a range of endemic and emerging human viruses common in the region. VBE can help reduce the burden on the health system, direct clinical trials, and provide early warning. In this paper, we present an innovative screening tool based on molecular methods, high-throughput sequencing, and bioinformatics analysis that can be used to analyze wastewater samples to identify viral diversity in the corresponding aquatic communities. In addition, we have developed a population biomarker approach to normalize the signal. In Chapter 1 of this paper, we identified a number of rare human herpesviruses (HERPs) using a bioinformatics-based screening tool. Faculty: Engineering

Name: Bryce Teen

Time: Monday, April 15, 2024, 10:00 AM

Advisor: Dr. Eliza Tulson

In recent years, research on technology, which aims to improve the efficiency of internal combustion engines, has been motivated by the US automobile market regulation due to the stricter of fuel efficiency and the stricter of emission gas. The operation of the internal combustion engine by spark ignition (SI) helps achieve high fue l-efficient goals in the future by improving the efficiency of the SI engine in partial load. Despite the observation of improvement of efficiency in the engine driven by a thin mixture, these mixtures are difficult to appear in slow flames related to depletion or sparse ai r-fuel ratio and poorly ignorant. Here, we will examine two types of ignition systems to reduce these adverse effects. It is a hig h-frequency ignition system with plasma amplification and a Folkammer ignition system called a turbulent jet ignition.

First, we examined the effects of the plasma frequency ignition system that extends to the characteristics of a small cylinder 4 cycle sorin engine. For engines with a volume of 33, 5cm3, both the standard coil ignition system and the hig h-frequency plasma ignition system were conducted at different control speeds. The hig h-frequency system is designed to generate a pseud o-mutual plasma discharge with a hig h-voltage pulsar, and in each category, the energy of 400 MJ and the voltage up to 30 square meters are supplied. As a result of the test, the stability of engine combustion was improved in all driving modes, and the expansion of depletion fuel using a hig h-frequency system was shown. What is particularly notable is the improvement of the hig h-frequency system in the combustion of the air. In addition, we will introduce gas analysis of engine exhaust with a volume of 33, 5 cm3, and hig h-speed photos of hig h-frequency systems taken with separate optical engines with a volume of 0, 4 liters. In recent years, research on technology aimed at improving the efficiency of internal combustion engines has motivated the US automotive market due to the stricter fuel economy and the stricter of emission gas. The operation of the internal combustion engine by spark ignition (SI) helps achieve high fue l-efficient goals in the future by improving the efficiency of the SI engine in partial load. Despite the observation of improvement of efficiency in the engine driven by a thin mixture, these mixtures are difficult to appear in slow flames related to depletion or sparse ai r-fuel ratio and poorly ignorant. Here, we will examine two types of ignition systems to reduce these adverse effects. It is a hig h-frequency ignition system with plasma amplification and a Folkammer ignition system called a turbulent jet ignition.

First, we examined the effects of the plasma frequency ignition system that extends to the characteristics of a small cylinder 4 cycle sorin engine. For engines with a volume of 33, 5cm3, both the standard coil ignition system and the hig h-frequency plasma ignition system were conducted at different control speeds. The hig h-frequency system is designed to generate a pseud o-mutual plasma discharge with a hig h-voltage pulsar, and in each category, the energy of 400 MJ and the voltage up to 30 square meters are supplied. As a result of the test, the stability of engine combustion was improved in all driving modes, and the expansion of depletion fuel using a hig h-frequency system was shown. What is particularly notable is the improvement of the hig h-frequency system in the combustion of the air. In addition, we will introduce gas analysis of engine exhaust with a volume of 33, 5 cm3, and hig h-speed photos of hig h-frequency systems taken with separate optical engines with a volume of 0, 4 liters. In recent years, research on technology, which aims to improve the efficiency of internal combustion engines, has been motivated by the US automobile market regulation due to the stricter of fuel efficiency and the stricter of emission gas. The operation of the internal combustion engine by spark ignition (SI) helps achieve high fue l-efficient goals in the future by improving the efficiency of the SI engine in partial load. Despite the observing efficiency of engines operated by a thin mixture, these mixed aircraft can appear in slow flames related to depletion or sparse ai r-fuel ratio and poor ignorance. Here, we will examine two types of ignition systems to reduce these adverse effects. It is a hig h-frequency ignition system with plasma amplification and a Folkammer ignition system called a turbulent jet ignition.

Elim Poon - Journalist, Creative Writer

Last modified: 27.08.2024

Academic Programs Catalog, Graduate Education, Doctoral Programs, Dissertation and Abstract, The dissertation and an abstract of the dissertation must be. Ph.D. status. Students completing a master's degree at Michigan State University may apply for a doctoral program in the Department of Plant, Soil and. consists of the written preparation and oral defense of a research proposal on the student's doctoral research. © Michigan State University. MSU WordmarkMSU.

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