Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618192
Wang Weihua, Huang Fenggang
The permutation indetermination is a very important problem in the frequency domain blind source separation. This paper proposes a novel algorithm based on amplitude correlation between two adjacent frequency bins. The amplitude correlation between adjacent frequency bins of the same speech signal is better than that of different speech signals. We construct amplitude correlation matrixes between two adjacent frequency bins according to the amplitude correlation, and then map the independent components (ICs) to the corresponding sources. The proposed method is on-line. It is feasible to implement ICA algorithm and proposed method simultaneously. Simulation results showed the encouraging performance.
{"title":"Improved method for solving permutation problem of frequency domain blind source separation","authors":"Wang Weihua, Huang Fenggang","doi":"10.1109/INDIN.2008.4618192","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618192","url":null,"abstract":"The permutation indetermination is a very important problem in the frequency domain blind source separation. This paper proposes a novel algorithm based on amplitude correlation between two adjacent frequency bins. The amplitude correlation between adjacent frequency bins of the same speech signal is better than that of different speech signals. We construct amplitude correlation matrixes between two adjacent frequency bins according to the amplitude correlation, and then map the independent components (ICs) to the corresponding sources. The proposed method is on-line. It is feasible to implement ICA algorithm and proposed method simultaneously. Simulation results showed the encouraging performance.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618255
Sang-Hong Lee, J. Lime
Fuzzy neural networks have been successfully applied to generate predictive rules for exchange rate forecasting. This paper presents a methodology to forecast the daily and weekly GBP/USD exchange rate by extracting fuzzy rules based on the neural network with weighted fuzzy membership functions (NEWFM) and the minimized number of input features using the distributed non-overlap area measurement method. NEWFM supports the analysis of the time series of the daily and weekly exchange rate based on the defuzzyfication of weighted average method which is the fuzzy model suggested by Takagi and Sugeno. NEWFM classifies upward and downward cases of next daypsilas and next weekpsilas GBP/USD exchange rate using the recent 32 days and 32 weeks of CPPn,m (Current Price Position of day n and week n : a percentage of the difference between the price of day n and week n and the moving average of the past m days and m weeks from day n-1 and week n-1) of the daily and weekly GBP/USD exchange rate, respectively. In this paper, the Haar wavelet function is used as a mother wavelet. The most important five and four input features among CPPn,m and 38 numbers of wavelet transformed coefficients produced by the recent 32 days and 32 weeks of CPPn,m are selected by the non-overlap area distribution measurement method, respectively. The data sets cover a period of approximately ten years starting from 2 January 1990. The proposed method shows that the accuracy rates are 55.19% for the daily data and 72.58% for the weekly data.
{"title":"Forecasting exchange rate by weighted average defuzzification based on NEWFM","authors":"Sang-Hong Lee, J. Lime","doi":"10.1109/INDIN.2008.4618255","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618255","url":null,"abstract":"Fuzzy neural networks have been successfully applied to generate predictive rules for exchange rate forecasting. This paper presents a methodology to forecast the daily and weekly GBP/USD exchange rate by extracting fuzzy rules based on the neural network with weighted fuzzy membership functions (NEWFM) and the minimized number of input features using the distributed non-overlap area measurement method. NEWFM supports the analysis of the time series of the daily and weekly exchange rate based on the defuzzyfication of weighted average method which is the fuzzy model suggested by Takagi and Sugeno. NEWFM classifies upward and downward cases of next daypsilas and next weekpsilas GBP/USD exchange rate using the recent 32 days and 32 weeks of CPPn,m (Current Price Position of day n and week n : a percentage of the difference between the price of day n and week n and the moving average of the past m days and m weeks from day n-1 and week n-1) of the daily and weekly GBP/USD exchange rate, respectively. In this paper, the Haar wavelet function is used as a mother wavelet. The most important five and four input features among CPPn,m and 38 numbers of wavelet transformed coefficients produced by the recent 32 days and 32 weeks of CPPn,m are selected by the non-overlap area distribution measurement method, respectively. The data sets cover a period of approximately ten years starting from 2 January 1990. The proposed method shows that the accuracy rates are 55.19% for the daily data and 72.58% for the weekly data.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125233410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618052
P. Palensky
Summary form only given. Technical systems get into serious troubles, once confronted with a certain degree of complexity. An analytical, exhaustive description of a complex problem is often not possible, and so its solution. Far away from scalar control loops and PLC (programmable logic controller) based machinery control, future automation systems are supposed to process a tremendous amount of information coming from millions of sensors and complex information sources like cameras. Large numbers of inexpensive and diverse sources of information can increase the performance of automation tasks in buildings, factories, transport systems, or machinery. However, the complex and context-dependent semantics of such large amounts of data make bit-by-bit processing and traditional rule-based decisions impossible. A new trail from the sensor values to decisions is necessary. Let us take a journey into a new research approach, where bionic systems try to mimic the capabilities of conscious creatures. The human mind, as described in the latest findings of neurology and psychoanalysis, gives a blueprint of a system that is potentially capable of filtering, evaluating, and judging situations and scenarios. The relationship between system/environment interactions, memory, emotions, learning, and higher mental processes is believed to be the key for the success exhibited by our species. This talk will outline the possibilities, the state of the art and the expectations of applying new ideas in artificial intelligence, psychology and neurology in complex industrial automation environments and shall serve as inspiration and challenge to the INDIN community.
{"title":"The ghost in the machine 2.0: Psycho-bionic steps towards mastering complex environments","authors":"P. Palensky","doi":"10.1109/INDIN.2008.4618052","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618052","url":null,"abstract":"Summary form only given. Technical systems get into serious troubles, once confronted with a certain degree of complexity. An analytical, exhaustive description of a complex problem is often not possible, and so its solution. Far away from scalar control loops and PLC (programmable logic controller) based machinery control, future automation systems are supposed to process a tremendous amount of information coming from millions of sensors and complex information sources like cameras. Large numbers of inexpensive and diverse sources of information can increase the performance of automation tasks in buildings, factories, transport systems, or machinery. However, the complex and context-dependent semantics of such large amounts of data make bit-by-bit processing and traditional rule-based decisions impossible. A new trail from the sensor values to decisions is necessary. Let us take a journey into a new research approach, where bionic systems try to mimic the capabilities of conscious creatures. The human mind, as described in the latest findings of neurology and psychoanalysis, gives a blueprint of a system that is potentially capable of filtering, evaluating, and judging situations and scenarios. The relationship between system/environment interactions, memory, emotions, learning, and higher mental processes is believed to be the key for the success exhibited by our species. This talk will outline the possibilities, the state of the art and the expectations of applying new ideas in artificial intelligence, psychology and neurology in complex industrial automation environments and shall serve as inspiration and challenge to the INDIN community.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618354
Fu-Shin Lee, R. Shin, M. Chiang
An optical inspection apparatus was prototyped for examining BioCD samples, and an automatic focusing mechanism using an embedded bio-image feedback mechanism was built in to control the focusing lenses system as to obtain adequate images on the image sensing chip, where sharpness of the captured images are evaluated and compared for subsequent motor movements. Over the motor course motion intervals, piezoactuator minute adjustments are henceforth triggered in fine movements to obtain clear images of the designated layer within inspected BioCD samples. The prototype is featured in its Linux OS based application on an ARM platform, which can execute a variety of servo-motions, including fine motions through implementing piezo-actuations, once the assistances of processed bio images are employed.
{"title":"Prototyping of an optomechanical apparatus for BioCD specimen image inspections","authors":"Fu-Shin Lee, R. Shin, M. Chiang","doi":"10.1109/INDIN.2008.4618354","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618354","url":null,"abstract":"An optical inspection apparatus was prototyped for examining BioCD samples, and an automatic focusing mechanism using an embedded bio-image feedback mechanism was built in to control the focusing lenses system as to obtain adequate images on the image sensing chip, where sharpness of the captured images are evaluated and compared for subsequent motor movements. Over the motor course motion intervals, piezoactuator minute adjustments are henceforth triggered in fine movements to obtain clear images of the designated layer within inspected BioCD samples. The prototype is featured in its Linux OS based application on an ARM platform, which can execute a variety of servo-motions, including fine motions through implementing piezo-actuations, once the assistances of processed bio images are employed.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134256362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618221
M. Shakeri, M. Low, Zhengping Li
Crossdocking is a just-in-time (JIT) practice in logistics of unloading materials from an incoming trailer and loading them into outgoing trailers, with little or no storage in between. The efficient operation of a crossdocking system requires an appropriate coordination of inbound and outbound flows, accurate planning and dynamic scheduling. Unfortunately, optimizing solutions to the problems associated with crossdock operational management and planning is quite difficult and in some cases even impossible. Besides, there is currently a shortage of planning policies for different crossdocking operations. In this paper, we develop a generic mathematical model to address the two problems of truck scheduling and truck-to-door assignment through employing a mixed integer programming approach (MIP). We believe our proposed model is generic enough to embrace various types of crossdocking operations which have been exercised in todaypsilas industrial world, more specifically fast moving consumer goods (FMCG) industry.
{"title":"A generic model for crossdock truck scheduling and truck-to-door assignment problems","authors":"M. Shakeri, M. Low, Zhengping Li","doi":"10.1109/INDIN.2008.4618221","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618221","url":null,"abstract":"Crossdocking is a just-in-time (JIT) practice in logistics of unloading materials from an incoming trailer and loading them into outgoing trailers, with little or no storage in between. The efficient operation of a crossdocking system requires an appropriate coordination of inbound and outbound flows, accurate planning and dynamic scheduling. Unfortunately, optimizing solutions to the problems associated with crossdock operational management and planning is quite difficult and in some cases even impossible. Besides, there is currently a shortage of planning policies for different crossdocking operations. In this paper, we develop a generic mathematical model to address the two problems of truck scheduling and truck-to-door assignment through employing a mixed integer programming approach (MIP). We believe our proposed model is generic enough to embrace various types of crossdocking operations which have been exercised in todaypsilas industrial world, more specifically fast moving consumer goods (FMCG) industry.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134415371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618364
Seung-Monk Baek, Jung-Wook Park
The external controller (EC) of a series flexible AC transmission system (FACTS) device, which is the series capacitive reactance compensator (SCRC), can provide effective damping of low-frequency oscillations in a power system. The saturation limiter in the EC is used to enforce practical limits resulting from system restrictions such as equipment and component ratings. In this paper, the effect of a saturation limiter on the overall system dynamic behavior is analyzed. Also, a systematic nonlinear tuning method is proposed to determine the optimal values for saturation limits based on the sensitivity trajectory analysis.
{"title":"Optimal tuning for saturation limiter of a series FACTS device","authors":"Seung-Monk Baek, Jung-Wook Park","doi":"10.1109/INDIN.2008.4618364","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618364","url":null,"abstract":"The external controller (EC) of a series flexible AC transmission system (FACTS) device, which is the series capacitive reactance compensator (SCRC), can provide effective damping of low-frequency oscillations in a power system. The saturation limiter in the EC is used to enforce practical limits resulting from system restrictions such as equipment and component ratings. In this paper, the effect of a saturation limiter on the overall system dynamic behavior is analyzed. Also, a systematic nonlinear tuning method is proposed to determine the optimal values for saturation limits based on the sensitivity trajectory analysis.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132459092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618199
Chunfang Li, Lianzhong Liu, Wenli Jiang
Analyzed here is the physical interpretation of objective function of semi-supervised fuzzy C-means (SS-FCM) algorithm and its coefficient alpha. A conclusion-Stutzpsilas modification to the objective function of Pedrycz is much clearer: unlabeled samples involves in unsupervised learning of FCM, labeled samples involves in unsupervised learning with coefficient (1-a) and participate in supervised learning with a, and when a=1 or 0, the SS-FCM degrades to FCM-is illustrated. The corresponding alternately optimizing algorithm of SS-FCM with fuzzy covariance is provided. The experimental results show that: 1) Modified algorithm has the same semi-supervised role and has much clearer physical interpretation. 2) Using FCM algorithm to assign membership for labeled samples is better than using random number. 3) SS-FCM with fuzzy covariance and a small number of well-selected labeled samples can effectively improve the accuracy and convergence speed.
{"title":"Objective function of semi-supervised Fuzzy C-Means clustering algorithm","authors":"Chunfang Li, Lianzhong Liu, Wenli Jiang","doi":"10.1109/INDIN.2008.4618199","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618199","url":null,"abstract":"Analyzed here is the physical interpretation of objective function of semi-supervised fuzzy C-means (SS-FCM) algorithm and its coefficient alpha. A conclusion-Stutzpsilas modification to the objective function of Pedrycz is much clearer: unlabeled samples involves in unsupervised learning of FCM, labeled samples involves in unsupervised learning with coefficient (1-a) and participate in supervised learning with a, and when a=1 or 0, the SS-FCM degrades to FCM-is illustrated. The corresponding alternately optimizing algorithm of SS-FCM with fuzzy covariance is provided. The experimental results show that: 1) Modified algorithm has the same semi-supervised role and has much clearer physical interpretation. 2) Using FCM algorithm to assign membership for labeled samples is better than using random number. 3) SS-FCM with fuzzy covariance and a small number of well-selected labeled samples can effectively improve the accuracy and convergence speed.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133602021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618080
Zheng Yili, Sun Hanxu, Jia Qingxuan, Shi Guozhen
Based on ARM processor and FPGA co-processor, kinematics control for a 6-DOF (degree of freedom) space manipulator is realized in this paper. The ARM processor uses AT91FR40162, which mainly takes charge of the tractory planning for the space manipulator. Meanwhile, using the CORDIC (Coordinate Rotation Digital Computer) algorithm, the forward and inverse kinematics computation of the space manipulator are implemented in FPGA. This approach can effectively reduce the calculation time of kinematics control and optimize real-time performance of the space manipulator. The principle and architecture of CORDIC IP core are presented, and CORDIC-based pipelines for the kinematics computation are depicted. Furthermore, a novel fault-tolerance central controller for the space manipulator using ARM processor and FPGA co-processor is developed and the control flow is presented particularly. The ground simulative zero-gravity experiment shows that the performance of the central controller meets the real-time and accuracy requirement of the space manipulator.
{"title":"Kinematics control for a 6-DOF space manipulator based on ARM processor and FPGA Co-processor","authors":"Zheng Yili, Sun Hanxu, Jia Qingxuan, Shi Guozhen","doi":"10.1109/INDIN.2008.4618080","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618080","url":null,"abstract":"Based on ARM processor and FPGA co-processor, kinematics control for a 6-DOF (degree of freedom) space manipulator is realized in this paper. The ARM processor uses AT91FR40162, which mainly takes charge of the tractory planning for the space manipulator. Meanwhile, using the CORDIC (Coordinate Rotation Digital Computer) algorithm, the forward and inverse kinematics computation of the space manipulator are implemented in FPGA. This approach can effectively reduce the calculation time of kinematics control and optimize real-time performance of the space manipulator. The principle and architecture of CORDIC IP core are presented, and CORDIC-based pipelines for the kinematics computation are depicted. Furthermore, a novel fault-tolerance central controller for the space manipulator using ARM processor and FPGA co-processor is developed and the control flow is presented particularly. The ground simulative zero-gravity experiment shows that the performance of the central controller meets the real-time and accuracy requirement of the space manipulator.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114138866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618120
Peter Palensky, F. Kupzog, Adeel Abbas Zaidi, K. Zhou
Optimizing the energy system is vital for supply safety and efficient operation. One part of such optimization efforts are demand side measures. This article discusses a simulation platform for automated demand side management, i.e. automated load management. Up to now, the strategies and algorithms that decided where and when to take influence on the loads were very primitive. The complexity of the system did not allow for intuitively designing smarter algorithms. As the energy system is a wide area distributed system, questions about system stability, SCADA (supervisory control and data acquisition), reaction times or the relation to the wider environment (customer processes, energy market, etc.) are very difficult to research. The presented prototype is intended to offer a research platform for evaluating potential algorithms for their real-world usage. All relevant parts of the overall process ldquointelligent gridrdquo are modeled into the world of discrete event simulation and first implementation results are discussed.
{"title":"A simulation platform for distributed energy optimization algorithms","authors":"Peter Palensky, F. Kupzog, Adeel Abbas Zaidi, K. Zhou","doi":"10.1109/INDIN.2008.4618120","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618120","url":null,"abstract":"Optimizing the energy system is vital for supply safety and efficient operation. One part of such optimization efforts are demand side measures. This article discusses a simulation platform for automated demand side management, i.e. automated load management. Up to now, the strategies and algorithms that decided where and when to take influence on the loads were very primitive. The complexity of the system did not allow for intuitively designing smarter algorithms. As the energy system is a wide area distributed system, questions about system stability, SCADA (supervisory control and data acquisition), reaction times or the relation to the wider environment (customer processes, energy market, etc.) are very difficult to research. The presented prototype is intended to offer a research platform for evaluating potential algorithms for their real-world usage. All relevant parts of the overall process ldquointelligent gridrdquo are modeled into the world of discrete event simulation and first implementation results are discussed.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121787315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618343
Yuh-Jen Chen, Yung-Sheng Su, Yuh-Min Chen, Meng-Sheng Wu
Compared with relying on the efforts of various enterprises collaborating on product lifecycle activities, such as coordination, communication and control, the ability to effectively share product information and knowledge is more important. Therefore, how to best integrate such heterogeneous product knowledge distributed among various cooperating enterprises has become an extremely important knowledge management subjects associated with collaborative product lifecycle. This study develops a novel mechanism for integrating ontology-based product lifecycle knowledge to effectively integrate the heterogeneous product knowledge distributed among different enterprises during a productpsilas lifecycle, thereby facilitating sharing of this product knowledge.
{"title":"On technology for ontology-based product lifecycle knowledge integration","authors":"Yuh-Jen Chen, Yung-Sheng Su, Yuh-Min Chen, Meng-Sheng Wu","doi":"10.1109/INDIN.2008.4618343","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618343","url":null,"abstract":"Compared with relying on the efforts of various enterprises collaborating on product lifecycle activities, such as coordination, communication and control, the ability to effectively share product information and knowledge is more important. Therefore, how to best integrate such heterogeneous product knowledge distributed among various cooperating enterprises has become an extremely important knowledge management subjects associated with collaborative product lifecycle. This study develops a novel mechanism for integrating ontology-based product lifecycle knowledge to effectively integrate the heterogeneous product knowledge distributed among different enterprises during a productpsilas lifecycle, thereby facilitating sharing of this product knowledge.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：