2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration最新文献

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An Improved Algorithm of Grid-Connected Inverter for Islanding Detection 并网逆变器孤岛检测的改进算法
Jie-Li Xiao, P. Meng, Qiangqiang Yin, Dongdong Cao
{"title":"An Improved Algorithm of Grid-Connected Inverter for Islanding Detection","authors":"Jie-Li Xiao, P. Meng, Qiangqiang Yin, Dongdong Cao","doi":"10.1109/ICIICII.2015.137","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.137","url":null,"abstract":"As the fact that the existing positive feedback active frequency drift (AFDPF) islanding detection algorithm has contradiction between detection time and total harmonic distortion (THD). In this paper, a variable coefficient positive feedback active frequency drift algorithm is provided, which based on the analysis of traditional positive feedback active frequency drift method. The simulation model of active frequency drift is established based on MATLAB/SIMULINK, to testify the function of improved algorithm. It can be seen that the proposed method not only detected island effect effectively, but also had less blind detection.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124305391","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}
引用次数: 1
Multi-parametric Programming Approach for Data Link of UAS Based on State Machine 基于状态机的无人机系统数据链多参数规划方法
Huang Wenqian, D. Wenrui, Li Chunhui
{"title":"Multi-parametric Programming Approach for Data Link of UAS Based on State Machine","authors":"Huang Wenqian, D. Wenrui, Li Chunhui","doi":"10.1109/ICIICII.2015.122","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.122","url":null,"abstract":"With the huge development of Unmanned Aerial Vehicle (UAV) in both military and civilian applications, the Unmanned Aircraft Systems (UAS) are required to adapt to complex environment and various missions. The adaptation technologies for UAS include adaptive modulation method, adaptive coding method, adaptive antenna diversity or power and adaptive parametric of data link. In this paper, we proposed a multi-parametric programming approach for data link of communication system in UAV based on state machine. We also present the state transition design for the state machine and describe the transition in detail according to different parameters of data link. In addition, the implementation of the state machine is presented.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"665 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861729","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}
引用次数: 3
Research on the Intelligent Monitoring System for Substation Electromagnetic Environment Based on Distributed Structure 基于分布式结构的变电站电磁环境智能监测系统研究
Fang Yuan, Jiang Guo, Kefei Zhang, Yong Hui Qiao, Yi Ce Li
{"title":"Research on the Intelligent Monitoring System for Substation Electromagnetic Environment Based on Distributed Structure","authors":"Fang Yuan, Jiang Guo, Kefei Zhang, Yong Hui Qiao, Yi Ce Li","doi":"10.1109/ICIICII.2015.133","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.133","url":null,"abstract":"Combine the current demand for substation electromagnetic environment monitoring with the status of electromagnetic environmental monitoring home and abroad, the intelligent monitoring system for substation electromagnetic environment based on distributed structure is proposed, and the distributed structure is adopted into the electromagnetic environment of power network management first time. With real-time monitoring, several of displaying style, scientific management modem and multistage concentration-distribution deployment to electromagnetic environment, a regulatory platform for the grid and the environmental protection department is provided, the contradiction between the grid and the public will be released effectively. In the paper a pilot-substation is evaluated in order to verify how this system is applied to solve the problem of knowledge dissemination of electromagnetic environment and alleviation of contradiction.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113313","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}
引用次数: 1
Research on Crowd Gathering Risk Identification Based on Cell Sensor and Face Recognition 基于细胞传感器和人脸识别的人群聚集风险识别研究
Sishi Liu, Kefan Xie
{"title":"Research on Crowd Gathering Risk Identification Based on Cell Sensor and Face Recognition","authors":"Sishi Liu, Kefan Xie","doi":"10.1109/ICIICII.2015.132","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.132","url":null,"abstract":"The risks of crowd gathering which are often neglected may incur severe catastrophe. With the development of economics and technology, there has been more and more opportunity for people to get together. At the same time, significant progress has been made in the field of risk prevention, such as cell senor and face recognition. The paper presents an idea to count the number of pedestrians by making use of the cell sensor and adjust the number by using face recognition. Based on the result of cell sensor and face recognition, the paper proposes a framework about the measurement of the crowd density and avoidance of the risks of crowd gathering.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367261","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}
引用次数: 2
A Novel Global Heuristic Optimization Immune Algorithm 一种新的全局启发式优化免疫算法
Zhuqian Long, Youce Sun
{"title":"A Novel Global Heuristic Optimization Immune Algorithm","authors":"Zhuqian Long, Youce Sun","doi":"10.1109/ICIICII.2015.90","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.90","url":null,"abstract":"Mobile computing is human -- computer interaction by which a computer is expected to be transported during normal usage. This paper proposes a novel global optimization immune algorithm based on the concept of clonal selection principle to maintain the balance between exploration and exploitation. The experimental results have shown that the proposed immune algorithm has high performance for optimizing some benchmark functions in mobile computing system.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122115247","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}
引用次数: 1
A Hierarchical Clustering Algorithm Based on Saturated Neighbor Graph 一种基于饱和邻居图的分层聚类算法
Qingsheng Zhu, Dongdong Cheng, Jinlong Huang
{"title":"A Hierarchical Clustering Algorithm Based on Saturated Neighbor Graph","authors":"Qingsheng Zhu, Dongdong Cheng, Jinlong Huang","doi":"10.1109/ICIICII.2015.99","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.99","url":null,"abstract":"This paper proposes a hierarchical clustering algorithm based on Saturated Neighbor Graph -- hi-CLUBS and a new concept, natural nearest neighbor, which adopts a parameter-less algorithm of searching the natural neighbors for each point in a dataset. In the work, the Saturated Neighbor Graph is constructed by the natural nearest neighbor firstly. Then modularity is introduced into graph partitioning algorithm, with which the generated graph is partitioned into small sub-clusters without any parameters. Finally, these initial sub-clusters are repeatedly merged with another cluster according to similarity measurement based on connectivity and closeness, until the desired cluster number is reached. The results show that hi-CLUBS produces a set of final clusters achieves better quality than the traditional clustering algorithms.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525672","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}
引用次数: 2
Evaluation Method of Manufacturing Resources Based on Fuzzy Analytic Hierarchy Process and Grey Relational Analysis 基于模糊层次分析法和灰色关联分析法的制造资源评价方法
Qibing Lu, B. Sheng
{"title":"Evaluation Method of Manufacturing Resources Based on Fuzzy Analytic Hierarchy Process and Grey Relational Analysis","authors":"Qibing Lu, B. Sheng","doi":"10.1109/ICIICII.2015.110","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.110","url":null,"abstract":"The manufacturing task is decomposed into different requirement levels under Networked Manufacturing. For the problem of manufacturing resource evaluation and selection, based on manufacturing resource evaluation indexes system, an evaluation model combined fuzzy theory with analytic hierarchy process and grey relational analysis was presented. In order to quantify the qualitative index, solve the weight problem, an application example of the method was illustrated the effectiveness of this method.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789954","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}
引用次数: 1
Design of Autonomous Mobile Metal Detector Based on LDC1000 基于LDC1000的自主移动金属探测器设计
Qingyong Zhang, Xueping Meng, Yujie Liu, Kexiong Chen
{"title":"Design of Autonomous Mobile Metal Detector Based on LDC1000","authors":"Qingyong Zhang, Xueping Meng, Yujie Liu, Kexiong Chen","doi":"10.1109/ICIICII.2015.114","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.114","url":null,"abstract":"An autonomous mobile metal detector is designed, which can move on the ground actively. The system implements the function of data acquisition and signal conversion by LDC1000 module. High performance controller TM4C123BH6PGEI is served as the control core and a smart car is used to realize independent mobile function. The results empirically show that the metal detector can detect metal objects accurately, and the autonomous mobile function can reduce the labor cost greatly.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126090651","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}
引用次数: 2
Research on Multi-agent System in Intelligent Manufacturing with Enterprise Alliance 企业联盟智能制造中的多智能体系统研究
Cheng Yunqing, Zhou Guoqiang
{"title":"Research on Multi-agent System in Intelligent Manufacturing with Enterprise Alliance","authors":"Cheng Yunqing, Zhou Guoqiang","doi":"10.1109/ICIICII.2015.126","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.126","url":null,"abstract":"Combined with artificial intelligence research focus Multi-Agent technology, this paper built an enterprise alliance intelligent manufacturing system. Based on the operation process of the system, the communication problems between heterogeneous agents and optimal selection of alliance enterprises are further discussed. Specifically, the communication is enabled by a model combining Knowledge Query and Manipulation Language (KQML) with Common Object Request Broker Architecture (CORBA). And the best alliance partners can be selected through genetic algorithm.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129808054","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}
引用次数: 0
Combination Case-Based Reasoning and Clustering Method for Similarity Analysis of Production Manufacturing Process 基于案例推理和聚类的生产制造过程相似性分析方法
Sihai Guo, Fan Yang, Qibing Lu, Xingxing Liu
{"title":"Combination Case-Based Reasoning and Clustering Method for Similarity Analysis of Production Manufacturing Process","authors":"Sihai Guo, Fan Yang, Qibing Lu, Xingxing Liu","doi":"10.1109/ICIICII.2015.109","DOIUrl":"https://doi.org/10.1109/ICIICII.2015.109","url":null,"abstract":"In production manufacturing process, the similarity analysis of production working status plays an important role in improving the economy and objectivity of management. It's very necessary to measure the similarity between each historical case and the target case of production working status to find the optimal working conditions. In this work, a similarity analysis methodology for production manufacturing process is proposed by using case-based reasoning and K-means clustering method. In order to improve K-means cluster efficiency, principal component analysis algorithm is taken to reduce feature attribute in original analysis space. In addition, the feature weighting of attributes is computed by deviation method in case-based reasoning system. Finally, the empirical research study is given to demonstrate that the evaluation results are more coincident with the reality and the proposed model's effectiveness.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132463233","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}
引用次数: 1
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