Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.
{"title":"Underwater Target Recognition Based on Module Time-frequency Matrix","authors":"Xi Xu, Min Shi","doi":"10.1109/IHMSC.2012.16","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.16","url":null,"abstract":"Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124853920","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}
An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.
{"title":"Obstacle Detection of a Novel Travel Aid for Visual Impaired People","authors":"Ying Jie, Song Yanbin","doi":"10.1109/IHMSC.2012.182","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.182","url":null,"abstract":"An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839722","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}
For camera movement causes moving objects detecting and tracking problems under complex background, we propose an adaptive object detection scope algorithm based on SIFT features. Firstly, let camera stationary and obtain three images to detect the moving object by using three-frame-difference method, then extract the object SIFT features. Secondly, according to the location and displacement of the object in the dynamic background, we determine the detection scope which matches the object well and obtain the minimum rectangle which can surround the right matching points in the detection scope, and then update the object template. The algorithm avoids the analysis of the complex relative motion between the object and the background, and reduces mismatch points and the calculation amount. This algorithm can quickly and accurately track the object without occlusion, and performs robust in small occlusion case.
{"title":"An Adaptive Object Detection Scope Algorithm Based on SIFT","authors":"Yuanyuan Lu, Xiangyang Xu, Y. Dai, Bin Zheng","doi":"10.1109/IHMSC.2012.120","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.120","url":null,"abstract":"For camera movement causes moving objects detecting and tracking problems under complex background, we propose an adaptive object detection scope algorithm based on SIFT features. Firstly, let camera stationary and obtain three images to detect the moving object by using three-frame-difference method, then extract the object SIFT features. Secondly, according to the location and displacement of the object in the dynamic background, we determine the detection scope which matches the object well and obtain the minimum rectangle which can surround the right matching points in the detection scope, and then update the object template. The algorithm avoids the analysis of the complex relative motion between the object and the background, and reduces mismatch points and the calculation amount. This algorithm can quickly and accurately track the object without occlusion, and performs robust in small occlusion case.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117211855","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 researches and analyses the model of virtualization in the current trend of cloud computing technology and management mechanism of Para virtualization based on Xen according to the characteristics of virtualization. In this mode, we analyses the I/O scheduler's result which impacts for the entire cluster system in the virtual machines and Drawing out Visualize formula, which provides Method and Basis for the I/O Load Balancing of system. At the end, this paper proposes a Real-time dynamic I/O Scheduling policy.
{"title":"Research of Input and Output Technology Based on Virtualized Cluster","authors":"Yan Zhang, Lixin Xu, Shichun Pang","doi":"10.1109/IHMSC.2012.43","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.43","url":null,"abstract":"This paper researches and analyses the model of virtualization in the current trend of cloud computing technology and management mechanism of Para virtualization based on Xen according to the characteristics of virtualization. In this mode, we analyses the I/O scheduler's result which impacts for the entire cluster system in the virtual machines and Drawing out Visualize formula, which provides Method and Basis for the I/O Load Balancing of system. At the end, this paper proposes a Real-time dynamic I/O Scheduling policy.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120930974","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}
With the importance of data is concerned by the enterprise and uses, the system reliability is becoming the primary consideration factors in the purchase of storage equipment. However, when a large fault occurs, such as power supply interruption, the operating data and status will not be able to be protected in system. It will result data inconsistencies, and even more serious economic losses. In response to these problems, we have analyzed the advantages and disadvantages of the general program of power-down protection in existing systems and the running processes of embedded system. We have designed this system with hardware and software modules for cellphone power-down protection, which can effectively deal with power interruption abnormalities and improve system reliability. By evaluating our system prototype using tool Iometer, we found that the data is correct while opening the power-down protection and the read and write performance of the system has almost no effect.
{"title":"Power-down Protection Technology in Embedded System","authors":"Hongbo Yu, Yihua Lan, H. Ren, Yi Chen","doi":"10.1109/IHMSC.2012.139","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.139","url":null,"abstract":"With the importance of data is concerned by the enterprise and uses, the system reliability is becoming the primary consideration factors in the purchase of storage equipment. However, when a large fault occurs, such as power supply interruption, the operating data and status will not be able to be protected in system. It will result data inconsistencies, and even more serious economic losses. In response to these problems, we have analyzed the advantages and disadvantages of the general program of power-down protection in existing systems and the running processes of embedded system. We have designed this system with hardware and software modules for cellphone power-down protection, which can effectively deal with power interruption abnormalities and improve system reliability. By evaluating our system prototype using tool Iometer, we found that the data is correct while opening the power-down protection and the read and write performance of the system has almost no effect.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125891118","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 presents an efficient algorithm for computing a separating element of a zero dimensional parametric algebraic variety. By converting the computations on rational function filed into computations on the base filed, we reduce the problem to finding a separating element for a zero dimensional algebraic variety without parameters. Thus, the computational complexity is reduced efficiently. The algorithm has been implemented and the examples reported in this paper show the algorithm is of practical value.
{"title":"Computing a Separating Element for a Zero Dimensional Parametric Algebraic Variety","authors":"Chang Tan, Jun Cao, Xiuhuan Ding","doi":"10.1109/IHMSC.2012.164","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.164","url":null,"abstract":"This paper presents an efficient algorithm for computing a separating element of a zero dimensional parametric algebraic variety. By converting the computations on rational function filed into computations on the base filed, we reduce the problem to finding a separating element for a zero dimensional algebraic variety without parameters. Thus, the computational complexity is reduced efficiently. The algorithm has been implemented and the examples reported in this paper show the algorithm is of practical value.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125910313","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}
To provide assistance for radiologists in mammographic screening, many computer-aided detection and diagnosis systems (CAD) have been developed. However, there are a lot of problems which should be addressed in conventional mammographic CAD system, such as the relatively lower performance in detecting malignant masses, especially those subtle masses. The reasons which caused those errors may be the black-box type approach, which only cuing those suspicious masses but it is different to explain the reasoning of the CAD decision-making. Mammographic CAD using content-based image retrieval is another new type of CAD which can provide visual assistance instead of the type of black box method in conventional CAD for radiologists. Unlike those conventional CAD, in content-based image retrieval (CBIR) CAD, several most similar regions of interest (ROIs) are provided to radiologists as well as the decision index (DI) of one ROI which being a positive region. It has been proved that this visual aid tool could improve radiologists' performance. At present, there are two common types of CBIR CAD based on the calculation of similarity between testing ROI and reference ROI, one is the multi-feature based methods, and the other one is pixel-value-based template matching methods. The typical techniques used in these two types of CBIR CAD are multi-feature-based K-nearest neighbor (KNN) and template matching based system using mutual information (MI). The objective of this paper is to evaluate the performance of those methods commonly used in CBIR and discuss the approaches to improve CAD performance.
{"title":"Similarity in Mammography CAD Using CBIR Approach: A Validation Study","authors":"Yihua Lan, H. Ren, Yong Zhang, Hongbo Yu","doi":"10.1109/IHMSC.2012.185","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.185","url":null,"abstract":"To provide assistance for radiologists in mammographic screening, many computer-aided detection and diagnosis systems (CAD) have been developed. However, there are a lot of problems which should be addressed in conventional mammographic CAD system, such as the relatively lower performance in detecting malignant masses, especially those subtle masses. The reasons which caused those errors may be the black-box type approach, which only cuing those suspicious masses but it is different to explain the reasoning of the CAD decision-making. Mammographic CAD using content-based image retrieval is another new type of CAD which can provide visual assistance instead of the type of black box method in conventional CAD for radiologists. Unlike those conventional CAD, in content-based image retrieval (CBIR) CAD, several most similar regions of interest (ROIs) are provided to radiologists as well as the decision index (DI) of one ROI which being a positive region. It has been proved that this visual aid tool could improve radiologists' performance. At present, there are two common types of CBIR CAD based on the calculation of similarity between testing ROI and reference ROI, one is the multi-feature based methods, and the other one is pixel-value-based template matching methods. The typical techniques used in these two types of CBIR CAD are multi-feature-based K-nearest neighbor (KNN) and template matching based system using mutual information (MI). The objective of this paper is to evaluate the performance of those methods commonly used in CBIR and discuss the approaches to improve CAD performance.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123209353","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}
A dynamic model of bicycle robot is established based on the Lagrange method, and its motion features, which include nonlinear and parameter time-varying, are analyzed. A new fuzzy control is proposed to make the bicycle robot system achieve favorable control effects including good dynamic and steady-state performance. This new fuzzy control can be divided into two components. In the first part, the fuzzy control method, which is on the basis of the individual riding experience, is used to promote the dumping bicycle to swing back to the equilibrium position. In the second part, the adaptive fuzzy PID method is employed to eliminate static error and guarantee the bicycle robot no vibration near the equilibrium position. Concerning reliability of switching process, the fuzzy method of smooth switching is used to guarantee the steady transition between these two different control strategies. Since it is difficult to select the initial values of the adaptive fuzzy PID method, a modified particle swarm optimization (MPSO) method is utilized to optimize the initial parameters off-line. To show high efficiency and the accuracy of this proposed algorithm, simulation results demonstrate that the stability of bicycle robot can be guaranteed by using this design scheme.
{"title":"A New Fuzzy Control and Dynamic Modeling of Bicycle Robot","authors":"Y. Li, X. Ren, Jun Liu","doi":"10.1109/IHMSC.2012.109","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.109","url":null,"abstract":"A dynamic model of bicycle robot is established based on the Lagrange method, and its motion features, which include nonlinear and parameter time-varying, are analyzed. A new fuzzy control is proposed to make the bicycle robot system achieve favorable control effects including good dynamic and steady-state performance. This new fuzzy control can be divided into two components. In the first part, the fuzzy control method, which is on the basis of the individual riding experience, is used to promote the dumping bicycle to swing back to the equilibrium position. In the second part, the adaptive fuzzy PID method is employed to eliminate static error and guarantee the bicycle robot no vibration near the equilibrium position. Concerning reliability of switching process, the fuzzy method of smooth switching is used to guarantee the steady transition between these two different control strategies. Since it is difficult to select the initial values of the adaptive fuzzy PID method, a modified particle swarm optimization (MPSO) method is utilized to optimize the initial parameters off-line. To show high efficiency and the accuracy of this proposed algorithm, simulation results demonstrate that the stability of bicycle robot can be guaranteed by using this design scheme.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728374","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}
Kalman filter used in seeker system for target tracking may induce low precision because of the equation linearization and the real time tracking performance of the seeker may be broken down. A real time Kalman filter with high precision is introduced and this algorithm is deduced in the line of sight reference frame via coordinate transformation. The effectiveness of the algorithm is shown trough numerical simulations.
{"title":"Kalman Filter Method of Target Tracking Based on LOS Coordinate","authors":"Jun Wang, Liangxian Gu, Bo Wang, Ye Tian","doi":"10.1109/IHMSC.2012.66","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.66","url":null,"abstract":"Kalman filter used in seeker system for target tracking may induce low precision because of the equation linearization and the real time tracking performance of the seeker may be broken down. A real time Kalman filter with high precision is introduced and this algorithm is deduced in the line of sight reference frame via coordinate transformation. The effectiveness of the algorithm is shown trough numerical simulations.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811407","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}
In order to improve system stability and reliability of UAV aerial photography, and get high-quality aerial images, this paper designed a UAV intelligent aerial photography system which can realize autonomous navigation. The system used STA3x, Russia flight control system, to build the UAV hardware system and design its program, the design process used a realistic physical simulation, combined with a UAV surveying and mapping company's actual aerial operations, and applied the communications, intelligent photography equipment of independent designed. The semi-physical simulation, and up to 4 years of actual flight results show that the UAV intelligent aerial photography system is to meet the aerial needs of small and medium-sized UAV in a complex environment. The system is easy to operate, high stability, reliability, wide range of applications, and get high-quality aerial images with high-resolution, full color.
{"title":"Design and Implementation of UAV Intelligent Aerial Photography System","authors":"Xin Li, Liang Yang","doi":"10.1109/IHMSC.2012.144","DOIUrl":"https://doi.org/10.1109/IHMSC.2012.144","url":null,"abstract":"In order to improve system stability and reliability of UAV aerial photography, and get high-quality aerial images, this paper designed a UAV intelligent aerial photography system which can realize autonomous navigation. The system used STA3x, Russia flight control system, to build the UAV hardware system and design its program, the design process used a realistic physical simulation, combined with a UAV surveying and mapping company's actual aerial operations, and applied the communications, intelligent photography equipment of independent designed. The semi-physical simulation, and up to 4 years of actual flight results show that the UAV intelligent aerial photography system is to meet the aerial needs of small and medium-sized UAV in a complex environment. The system is easy to operate, high stability, reliability, wide range of applications, and get high-quality aerial images with high-resolution, full color.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809333","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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