The Experts below are selected from a list of 102024 Experts worldwide ranked by ideXlab platform
Reza Langari - One of the best experts on this subject based on the ideXlab platform.
-
intelligent energy Management Agent for a parallel hybrid vehicle part i system architecture and design of the driving situation identification process
IEEE Transactions on Vehicular Technology, 2005Co-Authors: Reza Langari, Jong Seob WonAbstract:This two part paper proposes an intelligent energy Management Agent (IEMA) for parallel hybrid vehicles. IEMA incorporates a driving situation identification component whose role is to assess the driving environment, the driving style of the driver and the operating mode of the vehicle using long and short term statistical features of the drive cycle. This information is subsequently used by the torque distribution and charge sustenance components of IEMA to determine the power split strategy, which is shown to lead to enhanced fuel economy and reduced emissions. In Part I, the overall architecture of IEMA is presented and the driving situation identification process is described. It is specifically shown that a learning vector quantization (LVQ) network can effectively determine the driving condition using a limited duration of driving data. The overall performance of the system under a range of drive cycles is discussed in the second part of this paper.
-
Intelligent energy Management Agent for a parallel hybrid vehicle - Part II: Torque distribution, charge sustenance strategies, and performance results
IEEE Transactions on Vehicular Technology, 2005Co-Authors: Jong Seob Won, Reza LangariAbstract:This paper represents the second part of a two-part paper on development of an intelligent energy Management Agent (IEMA) for parallel hybrid vehicles. In this part, energy Management strategies for the torque distribution and charge sustenance tasks are established and implemented. Driving situation awareness-based fuzzy rule bases are developed to make intelligent decisions on the power split function. A charge sustenance strategy is developed in parallel to maintain adequate reserves of energy in the storage device for supporting an extended range of driving. Simulation study is conducted for the proposed IEMA and performance results are analyzed to evaluate its viability as a possible solution to and an extendable framework for energy Management for parallel hybrid electric vehicles.
-
Intelligent energy Management Agent for a parallel hybrid vehicle
Proceedings of the 2003 American Control Conference 2003., 1Co-Authors: Jong-seon Won, Reza LangariAbstract:This paper proposes an intelligent energy Management Agent (IEMA) for parallel hybrid vehicles. IEMA incorporates a driving situation identification component whose role is to assess the driving environment, driving style of the driver and operating mode of the vehicle using long and short term statistical features of the drive cycle. This information is subsequently used by the torque distribution and charge sustenance components of IEMA to determine the power split strategy, which is shown to lead to enhanced fuel economy and reduced emissions.
Jong Seob Won - One of the best experts on this subject based on the ideXlab platform.
-
intelligent energy Management Agent for a parallel hybrid vehicle part i system architecture and design of the driving situation identification process
IEEE Transactions on Vehicular Technology, 2005Co-Authors: Reza Langari, Jong Seob WonAbstract:This two part paper proposes an intelligent energy Management Agent (IEMA) for parallel hybrid vehicles. IEMA incorporates a driving situation identification component whose role is to assess the driving environment, the driving style of the driver and the operating mode of the vehicle using long and short term statistical features of the drive cycle. This information is subsequently used by the torque distribution and charge sustenance components of IEMA to determine the power split strategy, which is shown to lead to enhanced fuel economy and reduced emissions. In Part I, the overall architecture of IEMA is presented and the driving situation identification process is described. It is specifically shown that a learning vector quantization (LVQ) network can effectively determine the driving condition using a limited duration of driving data. The overall performance of the system under a range of drive cycles is discussed in the second part of this paper.
-
Intelligent energy Management Agent for a parallel hybrid vehicle - Part II: Torque distribution, charge sustenance strategies, and performance results
IEEE Transactions on Vehicular Technology, 2005Co-Authors: Jong Seob Won, Reza LangariAbstract:This paper represents the second part of a two-part paper on development of an intelligent energy Management Agent (IEMA) for parallel hybrid vehicles. In this part, energy Management strategies for the torque distribution and charge sustenance tasks are established and implemented. Driving situation awareness-based fuzzy rule bases are developed to make intelligent decisions on the power split function. A charge sustenance strategy is developed in parallel to maintain adequate reserves of energy in the storage device for supporting an extended range of driving. Simulation study is conducted for the proposed IEMA and performance results are analyzed to evaluate its viability as a possible solution to and an extendable framework for energy Management for parallel hybrid electric vehicles.
Sarawut Sujitjorn - One of the best experts on this subject based on the ideXlab platform.
-
Performance assessment of search Management Agent under asymmetrical problems and control design applications
WSEAS Transactions on Computers archive, 2009Co-Authors: Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut SujitjornAbstract:The article presents the performance evaluation of the Management Agent (MA) containing the adaptive tabu search (ATS) as its search core. In particular, asymmetrical surface optimization problems have been considered. It has been found that symmetrical property of the problems has a significant effect on search performance of the ATS, but MA(ATS). As an average, the MA(ATS) is about 2 times faster than the ATS under both symmetrical and asymmetrical problems. The article also gives reviews on the ATS and the MA(ATS) algorithms. An application on controller design for a coupled system with three-degree-of-freedom is also elaborated.
-
Plenary lecture 1: adaptive tabu search (ATS) and Management Agent (MA)
2009Co-Authors: Sarawut SujitjornAbstract:The lecture will cover the tabu search (TS), its generic algorithms, and a brief look at its variations. The adaptive tabu search (ATS) with the following topics will be covered: adaptive mechanisms, algorithms, convergence property, and search performance. After a discussion on parallel taxonomy, the Management Agent (MA) will be presented. The lecture will cover the MA(ATS), its convergence, and search performance subject to symmetrical and asymmetrical problems. Real-world applications of the algorithms will be discussed.
-
Investigation of the effects of asymmetrical problems on the performance of search Management Agent
2009Co-Authors: Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut SujitjornAbstract:The article presents the performance evaluation of the Management Agent (MA) containing the adaptive tabu search (ATS) as its search core. In particular, asymmetrical surface optimization problems have been considered. It has been found that symmetrical property of the problems has a significant effect on search performance of the ATS, but MA(ATS). On an average, the MA(ATS) is about 2 times faster than the ATS under both symmetrical and asymmetrical problems. The article also gives reviews on the ATS and the MA(ATS) algorithms.
-
Adaptive Tabu Search and Management Agent
2009Co-Authors: Sarawut Sujitjorn, Jukkrit Kluabwang, Deacha PuangdownreongAbstract:This paper elaborates the details of the adaptive tabu search (ATS) and the Management Agent (MA). It starts with brieflng about local search, and evolutionary algorithm. The generic tabu search is also discussed in brief. A detailed explanation of the ATS with its recommendations for use is given. The MA that is general enough to be used with any kinds of search methods is elaborated. The paper discusses the way the MA organizes its search units, and presents the search performance assessment. The assessment employs symmetrical, and asymmetrical problems based on 3D surface optimization. Applications on control design optimization of a scaled vehicle are presented.
-
Management Agent for search algorithms
2008Co-Authors: Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut SujitjornAbstract:This paper presents a Management approach applied to search algorithms to achieve more efficient search. It acts as a Management Agent to a core search unit, in which the Adaptive Tabu Search (ATS) has been applied. The proposed Management Agent composes of partitioning and discarding mechanisms to speed up the search. It has been tested against Bohachevsky's, Rastrigin's and Shekel's foxholes functions, respectively, for surface optimization.
Seong Gon Choi - One of the best experts on this subject based on the ideXlab platform.
-
rfid networking mechanism using address Management Agent
Networked Computing and Advanced Information Management, 2008Co-Authors: Dong Geun Yoon, Dong Hyeon Lee, Chang Ho Seo, Seong Gon ChoiAbstract:The ubiquitous network aims at the communication using IP between entities by the converged network like BcN. RFID is the core technology for comprising ubiquitous network. RFID is also applied to the above features. In RFID network, the communication has to be possible. In this paper, we propose a networking mechanism using address Management Agent so that networking using IP in RFID. Network mechanism using address Management Agent receives RFID tag ID of various length and generates IP address. Also, the information of RFID tag ID and IP address is mapped and it stored in address Management Agent. By using the mapping information stored in the address Management Agent, RFID is able to make the networking using IP between RFID tags.
-
NCM (1) - RFID Networking Mechanism Using Address Management Agent
2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2008Co-Authors: Dong Geun Yoon, Dong Hyeon Lee, Chang Ho Seo, Seong Gon ChoiAbstract:The ubiquitous network aims at the communication using IP between entities by the converged network like BcN. RFID is the core technology for comprising ubiquitous network. RFID is also applied to the above features. In RFID network, the communication has to be possible. In this paper, we propose a networking mechanism using address Management Agent so that networking using IP in RFID. Network mechanism using address Management Agent receives RFID tag ID of various length and generates IP address. Also, the information of RFID tag ID and IP address is mapped and it stored in address Management Agent. By using the mapping information stored in the address Management Agent, RFID is able to make the networking using IP between RFID tags.
Jinyun Xue - One of the best experts on this subject based on the ideXlab platform.
-
A-TEAM BASED SUPPLY CHAIN Management Agent ARCHITECTURE
International Journal on Artificial Intelligence Tools, 2009Co-Authors: Yu-jun Zheng, Jinquan Wang, Jinyun XueAbstract:Today's supply chains increasingly involve complex sets of processes, objectives and constraints, and therefore Agent-based architectures for supply chain Management (SCM) become much more difficul...
-
A-TEAM BASED SUPPLY CHAIN Management Agent ARCHITECTURE
International Journal on Artificial Intelligence Tools, 2009Co-Authors: Yu-jun Zheng, Jinquan Wang, Jinyun XueAbstract:Today's supply chains increasingly involve complex sets of processes, objectives and constraints, and therefore Agent-based architectures for supply chain Management (SCM) become much more difficult to implement and maintain. The paper presents a multi-Agent architecture for specifying, analyzing and developing SCM systems, in which asynchronous teams (A-Team) of problem solving Agents exchange results within populations that provide effective Management of information flows in supply chains, and cooperate to produce sets of non-dominated solutions that show the tradeoffs between objectives. Our approach distinguishes itself by improving problem-solving efficiency based on a diverse set of algorithms without complicated synthesis efforts, removing the focus from Agent communication and coordination details, and improving reusability, flexibility and extensibility by supporting object-oriented and component-based programming style. We examine the effectiveness of the architecture through a real-world case study and experimental results.
