User interaction is an important part of the smart grid construction. In order to allow power consumers to have a better understanding of their own household electricity, it is necessary to provide them with real-time electricity information. On the basis of intensive study of the electricity information acquisition system, this paper puts forward a construction scheme of power information visualization platform based on smart meter. The scheme only needs to upgrade and transform the carrier communication module of the smart meter instead of changing the existing electricity information acquisition system. As the modified module increases WiFi communication function, users can establish a communication link with their own smart meter through WiFi. The mobile phone can send a series of instructions which follow the DL/T 645-2007 protocol to call all kinds of power information and data in the smart meter. The platform shows the electricity information to users in a simple and intuitive way. Users can easily check a variety of household power information through the phone app. The platform solves the problem of difficult view of information in the electric meter. It expands application results of the smart meter, meanwhile promotes the friendly communication between the power grid and users.
{"title":"Design and Implementation of Power Information Visualization Platform Based on Smart Meter","authors":"Meiling Lu, Song Liu, Peng Liu, Qiaoshuo Li","doi":"10.1109/ICISCE.2016.73","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.73","url":null,"abstract":"User interaction is an important part of the smart grid construction. In order to allow power consumers to have a better understanding of their own household electricity, it is necessary to provide them with real-time electricity information. On the basis of intensive study of the electricity information acquisition system, this paper puts forward a construction scheme of power information visualization platform based on smart meter. The scheme only needs to upgrade and transform the carrier communication module of the smart meter instead of changing the existing electricity information acquisition system. As the modified module increases WiFi communication function, users can establish a communication link with their own smart meter through WiFi. The mobile phone can send a series of instructions which follow the DL/T 645-2007 protocol to call all kinds of power information and data in the smart meter. The platform shows the electricity information to users in a simple and intuitive way. Users can easily check a variety of household power information through the phone app. The platform solves the problem of difficult view of information in the electric meter. It expands application results of the smart meter, meanwhile promotes the friendly communication between the power grid and users.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80088882","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}
Email is an incontestable communication mode in both professional and personal correspondences. The survey shows that an ordinary white-collar worker spend at least an hour every day to deal with the email. Handling spam which is disguised as normal email is waste our time. In this paper, we propose a spam detection method upon statistical-based Bayesian algorithm. Firstly, the method use actual priori probability of spam instead of constant probability. Secondly, the selective range and rules of tokens is improved. Finally, our method add URLs and images into detection content. The experiment result shows that the improved statistical-based Bayesian classification algorithm works well in practice.
{"title":"Statistical-Based Bayesian Algorithm for Effective Email Classification","authors":"Xianghui Zhao, Yangping Zhang, Junkai Yi","doi":"10.1109/ICISCE.2016.141","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.141","url":null,"abstract":"Email is an incontestable communication mode in both professional and personal correspondences. The survey shows that an ordinary white-collar worker spend at least an hour every day to deal with the email. Handling spam which is disguised as normal email is waste our time. In this paper, we propose a spam detection method upon statistical-based Bayesian algorithm. Firstly, the method use actual priori probability of spam instead of constant probability. Secondly, the selective range and rules of tokens is improved. Finally, our method add URLs and images into detection content. The experiment result shows that the improved statistical-based Bayesian classification algorithm works well in practice.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76502777","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 solve the problem of how individualized demands drive the manufacturing execution of production enterprises quickly and accurately in cloud service environment, several critical technologies of manufacturing execution are investigated. The technologies include semantic description of manufacturing elements, intelligent connection of manufacturing resources, servitization of manufacturing functions and processes and intelligent progress control. From the aspects of intelligent manufacturing resources and service-oriented manufacturing functions, the connotation of the proposed technologies and realization method have been demonstrated. Ontology and sematic identification are utilized to describe manufacturing resources, and a cloud service manufacturing mode is constructed by application of intelligent and virtual technologies. The proposed mode searches and combines optimal services according to correlation coefficients, so as to realize the timely and accurate execution of individual order. Finally, the feasibility and practicability of the proposed technologies are verified by a case study.
{"title":"Research on Critical Technologies of Manufacturing Execution Based on Cloud-Service","authors":"Tao Ding, G. Yan, Yi Lei, Xiangyu Xu","doi":"10.1109/ICISCE.2016.121","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.121","url":null,"abstract":"To solve the problem of how individualized demands drive the manufacturing execution of production enterprises quickly and accurately in cloud service environment, several critical technologies of manufacturing execution are investigated. The technologies include semantic description of manufacturing elements, intelligent connection of manufacturing resources, servitization of manufacturing functions and processes and intelligent progress control. From the aspects of intelligent manufacturing resources and service-oriented manufacturing functions, the connotation of the proposed technologies and realization method have been demonstrated. Ontology and sematic identification are utilized to describe manufacturing resources, and a cloud service manufacturing mode is constructed by application of intelligent and virtual technologies. The proposed mode searches and combines optimal services according to correlation coefficients, so as to realize the timely and accurate execution of individual order. Finally, the feasibility and practicability of the proposed technologies are verified by a case study.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79892046","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 the singularity analysis of a novel endoscopic surgical parallel manipulator. The 4-DOF, 2- PUU_2-PUS, surgical robot design has larger bending angles and workspace volume. All previous manipulators have a zero pitch and infinity pitch reciprocal screws, so it is easy to find out the singular configurations inside the workspace. On the other hand, the novel 4-DOF surgical robot (2-PUU_2-PUS) has h-pitch reciprocal screws. The known geometrical approach for reciprocal-screws could not provide all singular configurations of the novel manipulator. Geometrical/Analytical approach for reciprocal-screws based singularity analysis of 2-PUU_2-PUS is proposed. The proposed algorithm can find all singular configurations of any limited DOF parallel manipulator with h-pitch reciprocal screws. The results show the feasibility of the proposed algorithm to find all singular configurations of the 4-DOF parallel manipulator. The discovered singularity configurations shrieked greatly the singularity free workspace to one fourth the original workspace. In order to be able to work through the entire workspace, we suggest changing the topology structure of the manipulator.
{"title":"Singularity Analysis of a Novel 4-DOF Surgical Robot","authors":"Alaa Khalifa, M. Fanni, Abdelfatah M. Mohamed","doi":"10.1109/ICISCE.2016.242","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.242","url":null,"abstract":"This paper presents the singularity analysis of a novel endoscopic surgical parallel manipulator. The 4-DOF, 2- PUU_2-PUS, surgical robot design has larger bending angles and workspace volume. All previous manipulators have a zero pitch and infinity pitch reciprocal screws, so it is easy to find out the singular configurations inside the workspace. On the other hand, the novel 4-DOF surgical robot (2-PUU_2-PUS) has h-pitch reciprocal screws. The known geometrical approach for reciprocal-screws could not provide all singular configurations of the novel manipulator. Geometrical/Analytical approach for reciprocal-screws based singularity analysis of 2-PUU_2-PUS is proposed. The proposed algorithm can find all singular configurations of any limited DOF parallel manipulator with h-pitch reciprocal screws. The results show the feasibility of the proposed algorithm to find all singular configurations of the 4-DOF parallel manipulator. The discovered singularity configurations shrieked greatly the singularity free workspace to one fourth the original workspace. In order to be able to work through the entire workspace, we suggest changing the topology structure of the manipulator.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88344867","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}
KD-RTI which is developed by National University of Defense Technology, is the run-time infrastructure of HLA simulation, and it is widely used in distributed simulation field. With the expansion of the scale of distributed simulation system, the data flow in the simulation system is more and more complex. However, KD-RTI only provides "best-effort" and "reliable" services, which cannot guarantee the quality of service of communication. To solve this problem, we use DDS as a communication method of KD-RTI. DDS is a data-centric publish-subscribe specification and it has a network controllable mechanism with lots of Quality of Service (QoS) policies. Experiments show that the improved KD-RTI perform better than the original KD-RTI in dealing with complex data streams.
{"title":"Research on Improvement of KD-RTI Communication Mechanism Base on DDS","authors":"Yibin Tu, J. Hao, Xiang Ji, Xiaoyuan Zhou","doi":"10.1109/ICISCE.2016.122","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.122","url":null,"abstract":"KD-RTI which is developed by National University of Defense Technology, is the run-time infrastructure of HLA simulation, and it is widely used in distributed simulation field. With the expansion of the scale of distributed simulation system, the data flow in the simulation system is more and more complex. However, KD-RTI only provides \"best-effort\" and \"reliable\" services, which cannot guarantee the quality of service of communication. To solve this problem, we use DDS as a communication method of KD-RTI. DDS is a data-centric publish-subscribe specification and it has a network controllable mechanism with lots of Quality of Service (QoS) policies. Experiments show that the improved KD-RTI perform better than the original KD-RTI in dealing with complex data streams.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88641117","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 development of Chinese space technology, the structure of a spacecraft is increasingly complex. The conventional method of spacecraft assembly integration alignment test based on real cubic prism cannot realize the measurement of the installation angles of the equipment in spacecraft coordinate system due to the limitation of the equipment's installation position. This paper proposes a new method of spacecraft assembly integration alignment test based on virtual cubic prism. The method constructs a virtual cubic prism using two unrelated vectors successfully and then uses the cubic prism as the transfer benchmark to calculate the installation angles of the measured equipment in spacecraft coordinate system. The method has been verified, accepted and applied to the alignment test of subsequent models.
{"title":"A New Method of Spacecraft Assembly Integration Alignment Test Based on Virtual Cubic Prism","authors":"Wang Wei, Guo Jieying, Tao Li, Liu Haomiao","doi":"10.1109/ICISCE.2016.27","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.27","url":null,"abstract":"With the development of Chinese space technology, the structure of a spacecraft is increasingly complex. The conventional method of spacecraft assembly integration alignment test based on real cubic prism cannot realize the measurement of the installation angles of the equipment in spacecraft coordinate system due to the limitation of the equipment's installation position. This paper proposes a new method of spacecraft assembly integration alignment test based on virtual cubic prism. The method constructs a virtual cubic prism using two unrelated vectors successfully and then uses the cubic prism as the transfer benchmark to calculate the installation angles of the measured equipment in spacecraft coordinate system. The method has been verified, accepted and applied to the alignment test of subsequent models.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91290861","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}
Mingyu Gao, Yeqing Yan, Yuxiang Yang, Jiye Huang, Zhiwei He
In order to make the industrial robot catch the target object accurately, an automatic positioning system based on monocular vision is proposed in this paper. Specifically, efficient localization algorithms are applied to get the position information of the target object. Besides, in consideration of further application requirements, an additional recognition algorithm based on 2-1 Hough transform is adopted to recognize the welding points on the accumulator. Moreover, a pose estimation algorithm is also used to obtain the posture information of the object. Then the information is converted to the robot's basal coordinate and transmitted to the robot motion controller by a serial port. Finally, a trajectory planning algorithm based on circular interpolation is applied for the 6-DOF industrial robot to capture the objects. The experimental results demonstrate that the proposed methods can recognize and acquire the pose of the target object accurately, so as to guide the industrial robot to catch the object reliably. The proposed positioning system can well meet the requirements of actual industrial productions.
{"title":"A Positioning System Based on Monocular Vision for Industrial Robots","authors":"Mingyu Gao, Yeqing Yan, Yuxiang Yang, Jiye Huang, Zhiwei He","doi":"10.1109/ICISCE.2016.172","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.172","url":null,"abstract":"In order to make the industrial robot catch the target object accurately, an automatic positioning system based on monocular vision is proposed in this paper. Specifically, efficient localization algorithms are applied to get the position information of the target object. Besides, in consideration of further application requirements, an additional recognition algorithm based on 2-1 Hough transform is adopted to recognize the welding points on the accumulator. Moreover, a pose estimation algorithm is also used to obtain the posture information of the object. Then the information is converted to the robot's basal coordinate and transmitted to the robot motion controller by a serial port. Finally, a trajectory planning algorithm based on circular interpolation is applied for the 6-DOF industrial robot to capture the objects. The experimental results demonstrate that the proposed methods can recognize and acquire the pose of the target object accurately, so as to guide the industrial robot to catch the object reliably. The proposed positioning system can well meet the requirements of actual industrial productions.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91330417","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}
Xueyang Ma, Hongli Zhang, Xiangzhan Yu, Yingjun Li
The Web has become a large platform for information publishing and consuming. Web news and blog are both representative information sources providing convenient ways to keep informed. In addition to the main content, most web pages also contain navigation panels, advertisements, recommended articles etc. Effectively extracting news and blog content and filtering these noises is necessary and challenging. In this paper we propose a news and blog content extraction approach that is portable to different languages and various domains. Our extensive case studies shows that characters which are not anchor texts but contain stop words are more likely to be the genuine content. Our method first traverses the entire DOM tree and count these valid characters attached to each DOM node. Then we step into the most representative child node based on valid characters recursively. And we finally stop at the main content node with a predefined criterion. To validate the approach, we conduct experiments by using online news and blog files randomly selected from well-known Chinese and English websites. Experimental result shows that our method achieves 96% F1-measure on average and outperforms CETR.
{"title":"A Template Independent Approach for Web News and Blog Content Extraction","authors":"Xueyang Ma, Hongli Zhang, Xiangzhan Yu, Yingjun Li","doi":"10.1109/ICISCE.2016.36","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.36","url":null,"abstract":"The Web has become a large platform for information publishing and consuming. Web news and blog are both representative information sources providing convenient ways to keep informed. In addition to the main content, most web pages also contain navigation panels, advertisements, recommended articles etc. Effectively extracting news and blog content and filtering these noises is necessary and challenging. In this paper we propose a news and blog content extraction approach that is portable to different languages and various domains. Our extensive case studies shows that characters which are not anchor texts but contain stop words are more likely to be the genuine content. Our method first traverses the entire DOM tree and count these valid characters attached to each DOM node. Then we step into the most representative child node based on valid characters recursively. And we finally stop at the main content node with a predefined criterion. To validate the approach, we conduct experiments by using online news and blog files randomly selected from well-known Chinese and English websites. Experimental result shows that our method achieves 96% F1-measure on average and outperforms CETR.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81274676","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}
Huang Zhanpeng, Zhang Qi, Jiang Shizhong, C. Guohua
The accurate medical image segmentation is the basis of 3D visualization and diagnosis. A medical CT image segmentation algorithm is proposed based on watershed segmentation and regions merging to extract the liver area. The similarity criteria for the regions merging is calculated by automatically analyzing the grayscale distribution of nearby areas of the seed points selected by the user. Then, the Gaussian filter is used to smooth the CT image. And the gradient of the smoothed image is calculated by the multi-scale morphological gradient, which is the input image for Watershed segmentation. The result of the Watershed segmentation is a labeled image, and the labeled regions are merged based on the similarity criteria. Finally the region of liver is extracted by selecting the max region, and the holes in the liver area are filled, which are the vessel areas of the liver. Experimental results show that the algorithm can accurately extract the liver region in the image with little user involvement.
{"title":"Medical Image Segmentation Based on the Watersheds and Regions Merging","authors":"Huang Zhanpeng, Zhang Qi, Jiang Shizhong, C. Guohua","doi":"10.1109/ICISCE.2016.218","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.218","url":null,"abstract":"The accurate medical image segmentation is the basis of 3D visualization and diagnosis. A medical CT image segmentation algorithm is proposed based on watershed segmentation and regions merging to extract the liver area. The similarity criteria for the regions merging is calculated by automatically analyzing the grayscale distribution of nearby areas of the seed points selected by the user. Then, the Gaussian filter is used to smooth the CT image. And the gradient of the smoothed image is calculated by the multi-scale morphological gradient, which is the input image for Watershed segmentation. The result of the Watershed segmentation is a labeled image, and the labeled regions are merged based on the similarity criteria. Finally the region of liver is extracted by selecting the max region, and the holes in the liver area are filled, which are the vessel areas of the liver. Experimental results show that the algorithm can accurately extract the liver region in the image with little user involvement.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85099742","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}
Objective: Using the target classification is too complex be used to distinguish between natural objects and Man-made objects in aerial image, so in this paper, we analyze the target classification and feature of the target in the sea instead. According to the features of the contour map, a method for eliminating natural objects is proposed. Methods: First, we decompose the contour map through perspective transformation, to establish the estimate of the true image, second, the Fourier-mellin transformation is adopted to match the outline of estimate object image with the outline of true object image (matching), and then we use Hausdorff distance to correct the preliminary matching, Finally, we adopt the difference method to remove the natural objects. Results: The experimental results show that the method can effectively remove the natural objects and keep the Man-made objects in the observed image. Conclusion: In this study, we propose a new method of removing the natural objects based on the known contour information of perspective transformation and It has been proved by the experimental results that this method is feasible for target detection by reducing the difficulty of target detection and improving the efficiency of target classification.
{"title":"Removing Natural Objects from the Sea Surface Background Image Based on Contour Map and Local-Hausdorff Distance","authors":"Li Chonglun","doi":"10.1109/ICISCE.2016.118","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.118","url":null,"abstract":"Objective: Using the target classification is too complex be used to distinguish between natural objects and Man-made objects in aerial image, so in this paper, we analyze the target classification and feature of the target in the sea instead. According to the features of the contour map, a method for eliminating natural objects is proposed. Methods: First, we decompose the contour map through perspective transformation, to establish the estimate of the true image, second, the Fourier-mellin transformation is adopted to match the outline of estimate object image with the outline of true object image (matching), and then we use Hausdorff distance to correct the preliminary matching, Finally, we adopt the difference method to remove the natural objects. Results: The experimental results show that the method can effectively remove the natural objects and keep the Man-made objects in the observed image. Conclusion: In this study, we propose a new method of removing the natural objects based on the known contour information of perspective transformation and It has been proved by the experimental results that this method is feasible for target detection by reducing the difficulty of target detection and improving the efficiency of target classification.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89344695","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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