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Application of Neural Network Scheme to Performance Enhancement of Rheotruder
Sung-Ho Kim,Young-Sam Lee,Bogdana Diaconescu 한국지능시스템학회 2005 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.5 No.2
Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients’ quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution
Application of Neural Network Scheme to Performance Enhancement of Rheotruder
Kim, Sung-Ho,Lee, Young-Sam,Diaconescu, Bogdana Korean Institute of Intelligent Systems 2005 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.5 No.2
Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients' quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution.
Application of Consensus Algorithm to Mate' for Identifying Faulty Sensor Node in Sensor Networks
Sung-Ho Kim(김성호),Hyeong-Joo Kim(김형주),Yun-Jong Han(한윤종),Diaconescu Bogdana 한국지능시스템학회 2005 한국지능시스템학회논문지 Vol.15 No.5
Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, there will often be some faulty nodes within the network. As nodes in some certain regions rely on each other to route the information gathered by different sensors to a base station (sink), the network should be able to detect a non-operational node in order to determine new paths for routing the information. Failure detection, which identifies the faulty nodes, is rather necessary in sensor networks and a very important research issue. The detection of a non-operational node can be performed using Consensus Algorithm with the purpose of achieving agreement about a node which is supposed to be faulty (non-operational). In this work, we discuss the application of a Consensus Algorithm to sensor node called "mote". Our experimental results show that it works efficiently for identifying faulty nodes in sensor networks.
Application of Consensus Algorithm to Mate' for Identifying Faulty Sensor Node in Sensor Networks
Kim Sung-Ho,Kim Hyeong-Joo,Han Yun-Jong,Bogdana Diaconescu Korean Institute of Intelligent Systems 2005 한국지능시스템학회논문지 Vol.15 No.5
Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, there will often be some faulty nodes within the network. As nodes in some certain regions rely on each other to route the information gathered by different sensors to a base station (sink), the network should be able to detect a non-operational node in order to determine new paths for routing the information. Failure detection, which identifies the faulty nodes, is rather necessary in sensor networks and a very important research issue. The detection of a non-operational node can be performed using Consensus Algorithm with the purpose of achieving agreement about a node which is supposed to be faulty (non-operational). In this work, we discuss the application of a Consensus Algorithm to sensor node called 'mote'. Our experimental results show that it works efficiently for identifying faulty nodes in sensor networks.