Pub Date : 2013-08-01DOI: 10.1109/ICINFA.2013.6720309
Jianhua Ji, Weiguang Jia, Yugeng Sun
Two kinds of BMA (Blind Mate A) connector for RFID (Radio Frequency Identification) system, which works at 5.8GHz, is investigated in this paper. The BMA connectors are modeled and simulated in HFSS (High Frequency Structure Simulator). By analyzing the simulation results, three specific steps are adopted to optimize and improve the performance of the RF (Radio Frequency) circuit which is used in the RFID reader antenna port in this paper. At the same time, it chooses a type of BMA RF connector for RFID reader for the actual circuit design. Based on the analysis and optimization of the radio frequency circuit at the antenna port, the first prototype is fabricated and tested in 5.8GHz. The testing result shows that the reflection coefficient is less than -17dB and the VSWR (Voltage Standing Wave Ratio) is less than 1.3, which has a good correspondence with the simulation result in HFSS.
{"title":"Optimization and application on BMA Radio Frequency connector","authors":"Jianhua Ji, Weiguang Jia, Yugeng Sun","doi":"10.1109/ICINFA.2013.6720309","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720309","url":null,"abstract":"Two kinds of BMA (Blind Mate A) connector for RFID (Radio Frequency Identification) system, which works at 5.8GHz, is investigated in this paper. The BMA connectors are modeled and simulated in HFSS (High Frequency Structure Simulator). By analyzing the simulation results, three specific steps are adopted to optimize and improve the performance of the RF (Radio Frequency) circuit which is used in the RFID reader antenna port in this paper. At the same time, it chooses a type of BMA RF connector for RFID reader for the actual circuit design. Based on the analysis and optimization of the radio frequency circuit at the antenna port, the first prototype is fabricated and tested in 5.8GHz. The testing result shows that the reflection coefficient is less than -17dB and the VSWR (Voltage Standing Wave Ratio) is less than 1.3, which has a good correspondence with the simulation result in HFSS.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087620","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720483
H. Liao, Shihe Chen, Jinming Li, Wencheng Zheng, Jia Luo, Xi Zhang
In order to meet the quality requirement of primary frequency regulation and AGC (Automatic Generation Control) for power plants in China Southern Power Grid “two rules”, the paper designs a AGC and primary frequency regulation monitoring and management system for power plant by analyzing the system requirements and combining with the actual situation of the power plant. Based on data acquisition and processing module and real-time database, the system has realized many functions such as automatic collecting, calculating and dealing with the data of the AGC and primary frequency regulation, giving a warning and analyzing the reason when the AGC and primary frequency regulation service are disqualification. After a period of trial running, it shows that the monitoring and management system can improve the quality of the AGC and primary frequency regulation services provided by the power plant. At the same time, the system can also provide guarantee for the safety, stability and economy of the generators.
{"title":"Design of AGC and primary frequency regulation monitoring and management system","authors":"H. Liao, Shihe Chen, Jinming Li, Wencheng Zheng, Jia Luo, Xi Zhang","doi":"10.1109/ICINFA.2013.6720483","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720483","url":null,"abstract":"In order to meet the quality requirement of primary frequency regulation and AGC (Automatic Generation Control) for power plants in China Southern Power Grid “two rules”, the paper designs a AGC and primary frequency regulation monitoring and management system for power plant by analyzing the system requirements and combining with the actual situation of the power plant. Based on data acquisition and processing module and real-time database, the system has realized many functions such as automatic collecting, calculating and dealing with the data of the AGC and primary frequency regulation, giving a warning and analyzing the reason when the AGC and primary frequency regulation service are disqualification. After a period of trial running, it shows that the monitoring and management system can improve the quality of the AGC and primary frequency regulation services provided by the power plant. At the same time, the system can also provide guarantee for the safety, stability and economy of the generators.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924776","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720458
Hengzhi Wang, Zhangjun Song, Jianwei Zhang
Wheeled in-pipe robots have been widely used in pipelines inspection and exploring because of simple structure, steady performance and consuming less energy. However when wheeled mobile robots run in muddy in-pipe environment they often can't be control to move accurately and continuously mainly because the ground cannot provide adequate adhesion. In order to improve the movement performance of the robot in this environment we establish a model based on terramechanics. With this model further research including motion performance of wheeled in-pipe robots has been conducted in muddy in-pipe environment in this paper. The model of wheel-terrain interaction is established with the finite element software ABAQUS. With this model we analyze what and how the factors which affect the adhesion. The actual experimental results show the model and simulated analysis is useful and helpful to mechanical design and control strategy design for wheeled in-pipe robots.
{"title":"Motion performance analysis of wheeled in-pipe robots based on ABAQUS","authors":"Hengzhi Wang, Zhangjun Song, Jianwei Zhang","doi":"10.1109/ICINFA.2013.6720458","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720458","url":null,"abstract":"Wheeled in-pipe robots have been widely used in pipelines inspection and exploring because of simple structure, steady performance and consuming less energy. However when wheeled mobile robots run in muddy in-pipe environment they often can't be control to move accurately and continuously mainly because the ground cannot provide adequate adhesion. In order to improve the movement performance of the robot in this environment we establish a model based on terramechanics. With this model further research including motion performance of wheeled in-pipe robots has been conducted in muddy in-pipe environment in this paper. The model of wheel-terrain interaction is established with the finite element software ABAQUS. With this model we analyze what and how the factors which affect the adhesion. The actual experimental results show the model and simulated analysis is useful and helpful to mechanical design and control strategy design for wheeled in-pipe robots.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133749275","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}
This paper mainly presents the survey of mobility approaches for the Extra Vehicular Robotics (EVR) application in space station. Seven different kinds of mobility approaches are identified, including straight rail mobile approach, inchworm-like movement approach, free flying vehicle/robot with docking approach, handrail climbing approach, mobile base with circular climbing approach and long manipulator transferring approach. The performance and difference of each approach are elaborated carefully, which offers reference for further research.
{"title":"Survey of mobility approaches for EVR application in space station","authors":"Yongquan Chen, Chengjiang Wang, Wenfu Xu, Huihuan Qian, Yangsheng Xu","doi":"10.1109/ICINFA.2013.6720349","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720349","url":null,"abstract":"This paper mainly presents the survey of mobility approaches for the Extra Vehicular Robotics (EVR) application in space station. Seven different kinds of mobility approaches are identified, including straight rail mobile approach, inchworm-like movement approach, free flying vehicle/robot with docking approach, handrail climbing approach, mobile base with circular climbing approach and long manipulator transferring approach. The performance and difference of each approach are elaborated carefully, which offers reference for further research.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133663425","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720333
Wenbo Wu, Xinyu Yao, Wei Feng, Yong Chen
The Operating System scheduler is designed to allocate the CPU resources appropriately to all processes. The Linux Completely Fair Scheduler (CFS) design ensures fairness among tasks using the thread fair scheduling algorithm. This algorithm ensures allocation of resources based on the number of threads in the system and not within executing programs. Fairness issue of the CFS used in Linux kernel comes up due to the fact that programs with higher number of threads are favored by the scheduler, which based on the number of threads in the system. A novel algorithm as well as its implementation through optimized procedure is proposed as a solution to achieving better fairness by punishing greedy-threaded programs. Several tests are conducted to illustrate fairness issue and to examine the effect of the proposed algorithm.
{"title":"Research on improving fairness of Linux scheduler","authors":"Wenbo Wu, Xinyu Yao, Wei Feng, Yong Chen","doi":"10.1109/ICINFA.2013.6720333","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720333","url":null,"abstract":"The Operating System scheduler is designed to allocate the CPU resources appropriately to all processes. The Linux Completely Fair Scheduler (CFS) design ensures fairness among tasks using the thread fair scheduling algorithm. This algorithm ensures allocation of resources based on the number of threads in the system and not within executing programs. Fairness issue of the CFS used in Linux kernel comes up due to the fact that programs with higher number of threads are favored by the scheduler, which based on the number of threads in the system. A novel algorithm as well as its implementation through optimized procedure is proposed as a solution to achieving better fairness by punishing greedy-threaded programs. Several tests are conducted to illustrate fairness issue and to examine the effect of the proposed algorithm.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130414760","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 : 2013-08-01DOI: 10.1142/S1469026816500012
Yifan Cai, Simon X. Yang
Cooperative exploration in unknown environments is fundamentally important in robotics, where the realtime path planning and proper task allocation strategies are desirable for multi-robot cooperation. In this paper, a PSO-based approach, combined with a fuzzy obstacle avoidance module, is proposed for cooperative robots to accomplish the target searching tasks in unknown environments. The proposed cooperation strategy for a multi-robot system makes use of the potential field function as the fitness function of PSO, while the proposed fuzzy obstacle-avoidance method can improve the robot trajectory smoothness. In the simulation studies, various scenarios are investigated and compared to the method without fuzzy rules. The effectiveness of the proposed approach and the robot trajectory smoothness improvement are demonstrated by simulation and comparison studies.
{"title":"A PSO-based approach with fuzzy obstacle avoidance for cooperative multi-robots in unknown environments","authors":"Yifan Cai, Simon X. Yang","doi":"10.1142/S1469026816500012","DOIUrl":"https://doi.org/10.1142/S1469026816500012","url":null,"abstract":"Cooperative exploration in unknown environments is fundamentally important in robotics, where the realtime path planning and proper task allocation strategies are desirable for multi-robot cooperation. In this paper, a PSO-based approach, combined with a fuzzy obstacle avoidance module, is proposed for cooperative robots to accomplish the target searching tasks in unknown environments. The proposed cooperation strategy for a multi-robot system makes use of the potential field function as the fitness function of PSO, while the proposed fuzzy obstacle-avoidance method can improve the robot trajectory smoothness. In the simulation studies, various scenarios are investigated and compared to the method without fuzzy rules. The effectiveness of the proposed approach and the robot trajectory smoothness improvement are demonstrated by simulation and comparison studies.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131039567","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720465
Cheng Tang, Qunqun Xie, Guolai Jiang, Y. Ou, Yangsheng Xu
For surveillance robots, road detection is of high importance for other functionalities such as pedestrian detection, obstacle avoidance, autonomous running, etc. The vision-based road detection is to classify image pixels belonging to road surface or not. Up to now, most algorithms are designed for working during daytime. In this paper, we focus on road detection at night. Firstly a planar reflection model is used to fit the intensity distribution of the images pixels got from a near-infrared camera. After that, we use a pixel-based classification to determine whether the pixel belongs to the road surface or not. In the experiments, we compare our algorithm with the region growing method. The results show that our approach works better in several aspects.
{"title":"Road detection at night based on a planar reflection model","authors":"Cheng Tang, Qunqun Xie, Guolai Jiang, Y. Ou, Yangsheng Xu","doi":"10.1109/ICINFA.2013.6720465","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720465","url":null,"abstract":"For surveillance robots, road detection is of high importance for other functionalities such as pedestrian detection, obstacle avoidance, autonomous running, etc. The vision-based road detection is to classify image pixels belonging to road surface or not. Up to now, most algorithms are designed for working during daytime. In this paper, we focus on road detection at night. Firstly a planar reflection model is used to fit the intensity distribution of the images pixels got from a near-infrared camera. After that, we use a pixel-based classification to determine whether the pixel belongs to the road surface or not. In the experiments, we compare our algorithm with the region growing method. The results show that our approach works better in several aspects.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132002818","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720310
Jing He, Zhiyuan Yan
Active constellation extension(ACE) algorithm is an attractive peak-to-average power ratio(PAPR) reduction method in OFDM systems, because it is easy to implement and compatible with standards. Fast convergence rate of ACE algorithm is an important issue for practical implementation. In this paper, a method is proposed to improve the performance of ACE algorithm, in which the step size for anti-peak signal and the step size for clipping level control are scaled up to speed up the convergence rate. The method is evaluated by simulation and the simulation results show that the method can achieve low PAPR and fast convergence rate. And the trade-off between PAPR reduction and average power increase is analysed, and it can be observed that appropriate combination of scale factors can achieve fast convergence rate and acceptable average power increase.
{"title":"Improving convergence rate of active constellation extension algorithm for PAPR reduction in OFDM","authors":"Jing He, Zhiyuan Yan","doi":"10.1109/ICINFA.2013.6720310","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720310","url":null,"abstract":"Active constellation extension(ACE) algorithm is an attractive peak-to-average power ratio(PAPR) reduction method in OFDM systems, because it is easy to implement and compatible with standards. Fast convergence rate of ACE algorithm is an important issue for practical implementation. In this paper, a method is proposed to improve the performance of ACE algorithm, in which the step size for anti-peak signal and the step size for clipping level control are scaled up to speed up the convergence rate. The method is evaluated by simulation and the simulation results show that the method can achieve low PAPR and fast convergence rate. And the trade-off between PAPR reduction and average power increase is analysed, and it can be observed that appropriate combination of scale factors can achieve fast convergence rate and acceptable average power increase.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133801334","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720491
Yi-Rui Tang, Yangmin Li
The UAV quadrotor is considerably difficult to be controlled due to its inherently unstable and complex multi-variable properties. To realize the control, a nonlinear dynamic model is firstly derived and formulated. A control approach employing hierarchical multiple-layer structure is then developed. The detailed hardware components, software as well as the working principle of the system are described. The entire UAV control system is tested and verified in actual flight tests.
{"title":"Realization of the flight control for an indoor UAV quadrotor","authors":"Yi-Rui Tang, Yangmin Li","doi":"10.1109/ICINFA.2013.6720491","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720491","url":null,"abstract":"The UAV quadrotor is considerably difficult to be controlled due to its inherently unstable and complex multi-variable properties. To realize the control, a nonlinear dynamic model is firstly derived and formulated. A control approach employing hierarchical multiple-layer structure is then developed. The detailed hardware components, software as well as the working principle of the system are described. The entire UAV control system is tested and verified in actual flight tests.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122838440","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720370
Yaping Liu, Jian Yao, Renping Xie, Sa Zhu
This paper targets the detection of pedestrians from still images, which focuses on developing robust feature representations that encode image regions as covariance matrices to support high accuracy pedestrian/non-pedestrian decisions. Firstly we utilize a fast method for computation of covariances based on integral images. By integrating the advantages of both covariance-based object detection and HOG-and FDF-based pedestrian detection, we then introduce four new feature representations for training a pedestrian detector: Covariance-based first-order Histogram of Oriented Gradient (Cov-HOG1), Covariance-based second-order Histogram of Oriented Gradient (Cov-HOG2), Covariance-based first-order Four Directional Features (Cov-FDF1), and Covariance-based second-order Four Directional Features (Cov-FDF2). To test our feature sets, we adopt a relatively simple learning framework that uses LogitBoost algorithm to classify each possible image region as a pedestrian or as a non-pedestrian. The experimental results show that the proposed algorithm obtains satisfactory pedestrian detection performances on the INRIA person datasets as well as images collected from Google and Flickr websites.
{"title":"Pedestrian detection from still images based on multi-feature covariances","authors":"Yaping Liu, Jian Yao, Renping Xie, Sa Zhu","doi":"10.1109/ICINFA.2013.6720370","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720370","url":null,"abstract":"This paper targets the detection of pedestrians from still images, which focuses on developing robust feature representations that encode image regions as covariance matrices to support high accuracy pedestrian/non-pedestrian decisions. Firstly we utilize a fast method for computation of covariances based on integral images. By integrating the advantages of both covariance-based object detection and HOG-and FDF-based pedestrian detection, we then introduce four new feature representations for training a pedestrian detector: Covariance-based first-order Histogram of Oriented Gradient (Cov-HOG1), Covariance-based second-order Histogram of Oriented Gradient (Cov-HOG2), Covariance-based first-order Four Directional Features (Cov-FDF1), and Covariance-based second-order Four Directional Features (Cov-FDF2). To test our feature sets, we adopt a relatively simple learning framework that uses LogitBoost algorithm to classify each possible image region as a pedestrian or as a non-pedestrian. The experimental results show that the proposed algorithm obtains satisfactory pedestrian detection performances on the INRIA person datasets as well as images collected from Google and Flickr websites.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123867201","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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