The Experts below are selected from a list of 5001 Experts worldwide ranked by ideXlab platform
Toru Namerikawa - One of the best experts on this subject based on the ideXlab platform.
-
CDC - Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
-
Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
Kazuya Kosugi - One of the best experts on this subject based on the ideXlab platform.
-
CDC - Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
-
Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
J Y Hu - One of the best experts on this subject based on the ideXlab platform.
-
analysis of reservoir water quality using fuzzy synthetic Evaluation
Stochastic Environmental Research and Risk Assessment, 1999Co-Authors: R S Lu, S L Lo, J Y HuAbstract:A general methodology for fuzzy synthetic Evaluation is developed and illustrated with a case study of trophic status assessment for Fei-Tsui Reservoir in Taiwan. The historical data base was collected from the management agency of Fei-Tsui Reservoir from 1987 to 1996. In fuzzy synthetic Evaluation, the classification is determined by a Matrix operation of the weighted vector with the fuzzy Evaluation Matrix. After all individual membership functions of evaluated factors have been determined, the fuzzy Evaluation Matrix can be established. The weighted vector is determined by the analytic hierarchy process method (AHP). The results of this investigation show that the long-term change of water quality and the overturn phenomena cannot be observed with the Carlson index from 1987 to 1992 but is expressed by fuzzy synthetic Evaluation. Fuzzy synthetic Evaluation is better suited than the Carlson index to rating the trophic status of self-sustaining lakes. Interpretation of the results can provide valuable information to decision makers and aid reservoir management.
S. Tokumoto - One of the best experts on this subject based on the ideXlab platform.
-
CDC - Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
-
Fault-tolerant sensor network based on fault Evaluation Matrix and compensation for intermittent observation
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Kazuya Kosugi, S. Tokumoto, Toru NamerikawaAbstract:This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-Evaluation Matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.
Anders Wall - One of the best experts on this subject based on the ideXlab platform.
-
New Product Development: Performance Measurement Evaluation Matrix
2020Co-Authors: Stefan Cedergren, Christer Norström, Anders WallAbstract:The ability to measure performance is both fundamental to and critical in successful product development. Previous research has focused on adding new measurements, not on evaluating those currently used. The performance measurement Evaluation Matrix (PMEX) is a tool to evaluate the performance measurement system based on success factors in the development of software-intensive products. Three case studies have been conducted to test the PMEX and the results indicate that the PMEX enables managers to determine explicitly what is and what is not measured. Time, cost, and quality seem to be the focus of the performance measurements while technology and planning activities are absent.
-
PMEX : A Performance Measurement Evaluation Matrix For The Development Of Industrial Software-Intensive Products
International Journal of Innovation and Technology Management, 2011Co-Authors: Stefan Cedergren, Christer Norström, Anders WallAbstract:The ability to measure performance is both fundamental to and critical in successful product development. Previous research has focused on adding new measurements, not on evaluating those currently used. The performance measurement Evaluation Matrix (PMEX) is a tool to evaluate the performance-measurement system based on success factors in the development of software-intensive products. Three case studies have been conducted to test the PMEX and the results indicate that the PMEX enables managers to determine explicitly what is and what is not measured. Time, cost, and quality seem to be the focus of the performance measurements while technology and planning activities are absent.
-
PMEX — A PERFORMANCE MEASUREMENT Evaluation Matrix FOR THE DEVELOPMENT OF INDUSTRIAL SOFTWARE-INTENSIVE PRODUCTS
International Journal of Innovation and Technology Management, 2011Co-Authors: Stefan Cedergren, Christer Norström, Anders WallAbstract:The ability to measure performance is both fundamental to and critical in successful product development. Previous research has focused on adding new measurements, not on evaluating those currently used. The performance measurement Evaluation Matrix (PMEX) is a tool to evaluate the performance-measurement system based on success factors in the development of software-intensive products. Three case studies have been conducted to test the PMEX and the results indicate that the PMEX enables managers to determine explicitly what is and what is not measured. Time, cost, and quality seem to be the focus of the performance measurements while technology and planning activities are absent.
-
PMEX — A performance measurement Evaluation Matrix for the development of complex products and systems
PICMET '08 - 2008 Portland International Conference on Management of Engineering & Technology, 2008Co-Authors: Stefan Johnsson, Christer Norström, Anders WallAbstract:A key aspect in a sustainable economy is to be able to do more with less by making better use of resources. Within the development of complex products and systems, a continuous need to improve performance exists, i.e., making better use of a companypsilas resources. In this improvement process it is important to measure the performance of the product development process. Previous research mainly focuses on the design and implementation of new performance measurement systems, not on evaluating the measures currently used. The research question in this paper is how to evaluate a companypsilas performance measurement systems from a managerpsilas perspective. To answer this question, a performance measurement Evaluation Matrix (PMEX) is developed. The PMEX has the different phases of the Stage-Gate process as one dimension and important success factors in the development of complex products and systems as the other dimension. Furthermore, a multiple case study has been conducted as a first verification of the PMEX. The first results of the study indicate that the PMEX enables managers to overview what is and what is not measured. The PMEX can therefore function as a conceptual tool in the discussions for setting the scope of the performance measurement system.
