Pub Date : 2014-07-11DOI: 10.1109/ICSSE.2014.6887899
L. Zheng, Kewang Zhang, Deyun Zhang
WLAN is playing a more important role in our daily life because large numbers of WLAN enabled consumer electronic devices are put into use. Performance of WLAN depends largely on the channel throughput and fairness. Under saturated condition, user-level performance mostly reflects the fairness level of service provided by the system. Traditionally, the IEEE 802.11 DCF and other protocols provide packet based fairness service, which is not optimal if the application types vary in system. This work proposes a cross-layer approach to schedule channel based on mission length. By giving a boost on newly arrival missions and suppressing greedy missions temporarily, the proposed scheme achieves better user experience for best effort services. The scheme is designed to be compatible with 802.11e and needs no modification in existing applications. Simulation results show that the average user waiting time is improved compared to the IEEE 802.11 DCF.
{"title":"Improving user-level performance of best effort service for WLAN","authors":"L. Zheng, Kewang Zhang, Deyun Zhang","doi":"10.1109/ICSSE.2014.6887899","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887899","url":null,"abstract":"WLAN is playing a more important role in our daily life because large numbers of WLAN enabled consumer electronic devices are put into use. Performance of WLAN depends largely on the channel throughput and fairness. Under saturated condition, user-level performance mostly reflects the fairness level of service provided by the system. Traditionally, the IEEE 802.11 DCF and other protocols provide packet based fairness service, which is not optimal if the application types vary in system. This work proposes a cross-layer approach to schedule channel based on mission length. By giving a boost on newly arrival missions and suppressing greedy missions temporarily, the proposed scheme achieves better user experience for best effort services. The scheme is designed to be compatible with 802.11e and needs no modification in existing applications. Simulation results show that the average user waiting time is improved compared to the IEEE 802.11 DCF.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128181172","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887938
Feng Yiyong, B. Zhuo, Chang Pengfei
This paper presents a Resolver-to-Digital Converter decoding arithmetic for detecting the velocity and driving distance of automobiles. The application deals with dual synchronous reference frame-based phase-locked loop(DSRF-PLL) to transform the sine and cosine output signals of a resolver into the double SRF(DSRF), from which a decoupling cell(DC) added to attenuate oscillations caused by DSRF. It can extract the angular velocity and displacement accurately and stably, even though the gain and phase errors in sine and cosine output signals. Above all, the analytical study on this system is conducted, and a new DSRF-PLL scheme is showed in this paper. Finally, simulation results under distorted signals conditions are obtained by SIMULINK to prove its utility.
{"title":"Simulation on the angular velocity and displacement measuring system based on DSRF-PLL","authors":"Feng Yiyong, B. Zhuo, Chang Pengfei","doi":"10.1109/ICSSE.2014.6887938","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887938","url":null,"abstract":"This paper presents a Resolver-to-Digital Converter decoding arithmetic for detecting the velocity and driving distance of automobiles. The application deals with dual synchronous reference frame-based phase-locked loop(DSRF-PLL) to transform the sine and cosine output signals of a resolver into the double SRF(DSRF), from which a decoupling cell(DC) added to attenuate oscillations caused by DSRF. It can extract the angular velocity and displacement accurately and stably, even though the gain and phase errors in sine and cosine output signals. Above all, the analytical study on this system is conducted, and a new DSRF-PLL scheme is showed in this paper. Finally, simulation results under distorted signals conditions are obtained by SIMULINK to prove its utility.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131047432","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887951
Qianli Lu, F. Cen, Weisheng Xu
This paper presents a rate control (RC) scheme for intra-frame coding in H.264/AVC. An adaptive rate-quantization (R-Q) model is proposed for intra-frames by utilizing the average standard deviation (ASD) to measure the content complexity of each intra-frame. The initial QP decision is based on the distribution of the standard deviation (SD) values of macroblocks (MBs) in the initial frame. The scene change is detected with the complexity difference of adjacent frames and the appropriate quantization parameter (QP) is determined for the scene-transition frame. Experimental results show that the proposed RC scheme achieves more accurate rate estimation and maintains the buffer fullness at a lower level than the state of the art, especially for the sequences containing scene changes.
{"title":"Efficient frame complexity-based rate control for H.264/AVC intra-frame","authors":"Qianli Lu, F. Cen, Weisheng Xu","doi":"10.1109/ICSSE.2014.6887951","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887951","url":null,"abstract":"This paper presents a rate control (RC) scheme for intra-frame coding in H.264/AVC. An adaptive rate-quantization (R-Q) model is proposed for intra-frames by utilizing the average standard deviation (ASD) to measure the content complexity of each intra-frame. The initial QP decision is based on the distribution of the standard deviation (SD) values of macroblocks (MBs) in the initial frame. The scene change is detected with the complexity difference of adjacent frames and the appropriate quantization parameter (QP) is determined for the scene-transition frame. Experimental results show that the proposed RC scheme achieves more accurate rate estimation and maintains the buffer fullness at a lower level than the state of the art, especially for the sequences containing scene changes.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130476839","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887927
Yunping Sun, Feng Wei, Jinxu Li, Pingan Zheng
An adaptive learning control strategy is developed for a class of bilinear parametric time-varying systems with mixed unknown time-varying and time-invariant parameters and unknown time-varying delay. The proposed control law includes a differential-difference coupled-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. By constructing a Lyapunov-Krasovskii energy function, we prove the stability of the closed loop system and the asymptotic convergence of the tracking error. The simulation results, for a bilinear parametric time-varying system confirm the effectiveness of the proposed control scheme.
{"title":"Adaptive learning control for bilinear parametric time-varying systems with unknown time-varying delays","authors":"Yunping Sun, Feng Wei, Jinxu Li, Pingan Zheng","doi":"10.1109/ICSSE.2014.6887927","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887927","url":null,"abstract":"An adaptive learning control strategy is developed for a class of bilinear parametric time-varying systems with mixed unknown time-varying and time-invariant parameters and unknown time-varying delay. The proposed control law includes a differential-difference coupled-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. By constructing a Lyapunov-Krasovskii energy function, we prove the stability of the closed loop system and the asymptotic convergence of the tracking error. The simulation results, for a bilinear parametric time-varying system confirm the effectiveness of the proposed control scheme.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117336922","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887923
Kao-Shing Hwang, Jin-Ling Lin, Hsuan-Pei Hsu
This paper proposes a reinforcement learning model for multi-agent cooperation based on agents' cooperation tendency. An agent learns rules of cooperation according to these recorded cooperation probability in a Layered Cooperation Model (LCM). In the LCM, a candidate policy engine is first used to filter out candidate action sets, which consider payoff is given for coalition. Then, agents use Nash Bargaining Solution (NBS) to generate candidate policies for themselves from these candidate action sets during the learning. The proposed approach could work for both transferable utility and non-transferable utility cooperation problem. From the simulation results, the proposed method shows its learning efficiency outperforms Win or Learning Fast Policy Hill-Climbing (WoLF-PHC) and Nash Bargaining Solution (NBS).
提出了一种基于智能体合作倾向的多智能体合作强化学习模型。在分层合作模型(LCM)中，智能体根据这些记录的合作概率学习合作规则。在LCM中，首先使用候选策略引擎过滤候选行为集，考虑联盟的收益给定。然后，智能体在学习过程中使用纳什议价解决方案(NBS)从这些候选行为集中为自己生成候选策略。该方法既适用于可转让公用事业合作问题，也适用于不可转让公用事业合作问题。仿真结果表明，该方法的学习效率优于Win或learning Fast Policy - hill - climb (WoLF-PHC)和Nash Bargaining Solution (NBS)。
{"title":"A multi-agent cooperation system based on a Layered Cooperation Model","authors":"Kao-Shing Hwang, Jin-Ling Lin, Hsuan-Pei Hsu","doi":"10.1109/ICSSE.2014.6887923","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887923","url":null,"abstract":"This paper proposes a reinforcement learning model for multi-agent cooperation based on agents' cooperation tendency. An agent learns rules of cooperation according to these recorded cooperation probability in a Layered Cooperation Model (LCM). In the LCM, a candidate policy engine is first used to filter out candidate action sets, which consider payoff is given for coalition. Then, agents use Nash Bargaining Solution (NBS) to generate candidate policies for themselves from these candidate action sets during the learning. The proposed approach could work for both transferable utility and non-transferable utility cooperation problem. From the simulation results, the proposed method shows its learning efficiency outperforms Win or Learning Fast Policy Hill-Climbing (WoLF-PHC) and Nash Bargaining Solution (NBS).","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255314","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887928
Y. Ueno, K. Mori
We develop a new method to plan pump operation schedules for water supply systems. In the method, we define a solution space as a network model in which the nodes are cumulative flow rates and the edges are the flow rates at each time step. We treat pump scheduling as a shortest path problem, and the A* search algorithm is used to find the optimum path. One feature of the proposed method is that the search area is restricted by constraints, such as the water level of tanks. We examine this scheduling method by attempting to solve a benchmark problem and evaluated the accuracy and the computing time. The experimental results show that the method can make suitable solutions within an acceptable waiting time. We confirmed that the proposed method can be used effectively for large-scale water supply systems.
{"title":"Optimizing pump operation scheduling for water supply systems","authors":"Y. Ueno, K. Mori","doi":"10.1109/ICSSE.2014.6887928","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887928","url":null,"abstract":"We develop a new method to plan pump operation schedules for water supply systems. In the method, we define a solution space as a network model in which the nodes are cumulative flow rates and the edges are the flow rates at each time step. We treat pump scheduling as a shortest path problem, and the A* search algorithm is used to find the optimum path. One feature of the proposed method is that the search area is restricted by constraints, such as the water level of tanks. We examine this scheduling method by attempting to solve a benchmark problem and evaluated the accuracy and the computing time. The experimental results show that the method can make suitable solutions within an acceptable waiting time. We confirmed that the proposed method can be used effectively for large-scale water supply systems.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937755","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887939
Linjie Deng, Feng Wei, Yaoxian Dou, Jia Shen
This article introduces the background of the design and a unique idea of PCI interface circuit at first. The circuit mainly focuses on the Linux-based driver by introducing interrupt. Then the paper describes the compilation and installation of driver and interruptions which include requesting, handling, and releasing. At the same time, the application of PCI interrupt in data acquisition card is also presented. Finally, result shows that reading PCI bus data in interrupt mode can increase the efficiency of data acquisition in comparison with the inquiry mode.
{"title":"A Linux-based driver design of PCI9052 interrupt","authors":"Linjie Deng, Feng Wei, Yaoxian Dou, Jia Shen","doi":"10.1109/ICSSE.2014.6887939","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887939","url":null,"abstract":"This article introduces the background of the design and a unique idea of PCI interface circuit at first. The circuit mainly focuses on the Linux-based driver by introducing interrupt. Then the paper describes the compilation and installation of driver and interruptions which include requesting, handling, and releasing. At the same time, the application of PCI interrupt in data acquisition card is also presented. Finally, result shows that reading PCI bus data in interrupt mode can increase the efficiency of data acquisition in comparison with the inquiry mode.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121341373","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887941
Peng-Yuan Chang, Zhuo Bi, Yiyong Feng
Sequential minimal optimization (SMO) algorithm is widely used for solving the optimization problem during the training process of support vector machine (SVM). However, the SMO algorithm is quite time-consuming when handling very large training sets and thus limits the performance of SVM. In this paper, a parallel implementation of SMO algorithm is designed with OpenMP, basing on the running time analysis of each function in SMO. Experimental results show that the performance for training SVM had been improved with parallel SMO when dealing with large datasets.
{"title":"Parallel SMO algorithm implementation based on OpenMP","authors":"Peng-Yuan Chang, Zhuo Bi, Yiyong Feng","doi":"10.1109/ICSSE.2014.6887941","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887941","url":null,"abstract":"Sequential minimal optimization (SMO) algorithm is widely used for solving the optimization problem during the training process of support vector machine (SVM). However, the SMO algorithm is quite time-consuming when handling very large training sets and thus limits the performance of SVM. In this paper, a parallel implementation of SMO algorithm is designed with OpenMP, basing on the running time analysis of each function in SMO. Experimental results show that the performance for training SVM had been improved with parallel SMO when dealing with large datasets.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074462","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887920
Chunchi Gu, Hao Zhang, Qijun Chen
Data collection is a very important step and part in the research of energy visualization and analysis. How to make a general, reliable and convenient data collection system is a meaningful and necessary job. In this paper, we introduce a new kind of energy data collection system which is using WiFi module and current transformer. The whole hardware system can be divided into four parts. The first part is an electricity sensor unit which is the core part of the whole system. The second and the third part are combined and working together which consist of a microcontroller and a WiFi network module. The fourth part is a small data convertor. These four parts work together in the whole process. The main software design work is focus on the microcontroller. The whole software design work can be divided into three parts which are parameter setting, main working loop and Modbus functions. Here we write all the programs in C. In the outcome of the test, we can see that the data collection system can work properly and transmit the data to the remote IP address wirelessly through the Internet router. With this kind of design, the data collection system can finish the work no matter what kind of the electricity meter is.
{"title":"Design and implementation of energy data collection system using wireless fidelity (WiFi) module and current transformer","authors":"Chunchi Gu, Hao Zhang, Qijun Chen","doi":"10.1109/ICSSE.2014.6887920","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887920","url":null,"abstract":"Data collection is a very important step and part in the research of energy visualization and analysis. How to make a general, reliable and convenient data collection system is a meaningful and necessary job. In this paper, we introduce a new kind of energy data collection system which is using WiFi module and current transformer. The whole hardware system can be divided into four parts. The first part is an electricity sensor unit which is the core part of the whole system. The second and the third part are combined and working together which consist of a microcontroller and a WiFi network module. The fourth part is a small data convertor. These four parts work together in the whole process. The main software design work is focus on the microcontroller. The whole software design work can be divided into three parts which are parameter setting, main working loop and Modbus functions. Here we write all the programs in C. In the outcome of the test, we can see that the data collection system can work properly and transmit the data to the remote IP address wirelessly through the Internet router. With this kind of design, the data collection system can finish the work no matter what kind of the electricity meter is.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124696221","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 : 2014-07-11DOI: 10.1109/ICSSE.2014.6887912
Chih-Ming Hsu, Fei-Hong Chao, Feng‐Li Lian
This paper presents a monocular vision-based range estimation of on-road vehicles approach. The proposed approach mainly combines non-drivable region from drivable region detection for detection region estimation instead of detecting the whole image, shadow detection for on-road object extraction, vehicle structure points estimation and adjusting for on-road vehicle classification, and motion vector and Kalman filter of on-road vehicles for collision avoiding. Extensive experimentation was performed to demonstrate that the proposed approach can correctly and dynamically estimate the relative distance of on-road vehicles in actual traffic conditions.
{"title":"Monocular vision-based range estimation of on-road vehicles","authors":"Chih-Ming Hsu, Fei-Hong Chao, Feng‐Li Lian","doi":"10.1109/ICSSE.2014.6887912","DOIUrl":"https://doi.org/10.1109/ICSSE.2014.6887912","url":null,"abstract":"This paper presents a monocular vision-based range estimation of on-road vehicles approach. The proposed approach mainly combines non-drivable region from drivable region detection for detection region estimation instead of detecting the whole image, shadow detection for on-road object extraction, vehicle structure points estimation and adjusting for on-road vehicle classification, and motion vector and Kalman filter of on-road vehicles for collision avoiding. Extensive experimentation was performed to demonstrate that the proposed approach can correctly and dynamically estimate the relative distance of on-road vehicles in actual traffic conditions.","PeriodicalId":166215,"journal":{"name":"2014 IEEE International Conference on System Science and Engineering (ICSSE)","volume":"704 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125093","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}
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