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2018 International Conference on Robots & Intelligent System (ICRIS)最新文献

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Robust Automatic Control System of Dependent Skewness Measurement Logic 相关偏度测量逻辑鲁棒自动控制系统
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00016
Chengxian Wang
{"title":"Robust Automatic Control System of Dependent Skewness Measurement Logic","authors":"Chengxian Wang","doi":"10.1109/ICRIS.2018.00016","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00016","url":null,"abstract":"Based on the influence of robust automatic control system and skewness measurement logic on tidal power generation, this paper proposes a method of robust automatic control system of dependent skewness measurement logic (DSML). It establishes tubular turbine robust automatic control model, and expands the application of skewness measurement logic algorithm in the field of tubular turbine generation frequency system. At the same time, on basis of researching the basic principle of AC excitation tidal power generation system, it designs the mathematical model of AC excitation generator under the two-phase rotating coordinate system, introduces the stator flux linkage vector orientation method, and through adjusting the excitation independently adjusts the active and reactive power of generator. The experimental results show that the method has good control effects for tubular turbine automatic control system, also can reduce the wear degree of tubular turbine, improve the efficiency of the tidal power generation, and have certain reference significance for tidal power generation, wind power generation and hydroelectric power generation.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921426","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
Solutions of Impulsive Fractional Neutral Functional Differential Equation 脉冲分数中立型泛函微分方程的解
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00151
Huiping Fang, Heping Jiang, Jianwei Hu
{"title":"Solutions of Impulsive Fractional Neutral Functional Differential Equation","authors":"Huiping Fang, Heping Jiang, Jianwei Hu","doi":"10.1109/ICRIS.2018.00151","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00151","url":null,"abstract":"The existence of mild solution for impulsive fractional neutral differential equations is in the initial stage. The recent surge in developing the theory of fractional differential equations has motivated the present work. So we study semi-linear fractional neutral differential equations in a Banach space. By the analytic semi-group theory and fixed point theory, we obtain the existence of mild solution to the equations under given conditions.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148432","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
Construction of Binary Tree Classifier Using Linear SVM for Large-Scale Classification 基于线性支持向量机的二叉树分类器构建
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00124
Q. Leng, Shurui Wang, Dehai Shen
{"title":"Construction of Binary Tree Classifier Using Linear SVM for Large-Scale Classification","authors":"Q. Leng, Shurui Wang, Dehai Shen","doi":"10.1109/ICRIS.2018.00124","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00124","url":null,"abstract":"Support vector machines (SVM) with kernel can solve nonlinear problem, but when the size of the problem is relatively large, the solving speed will be slow, which is not conducive to real-time applications. For linear SVM, it has fast computational speed, but its classification accuracy is usually not guaranteed. This paper proposes a binary tree classifier with linear SVM, which makes a tradeoff between computational speed and classification accuracy. If the local error rate is below a pre-set threshold, leaf nodes that make the final decision are generated; Otherwise, recursive construction of non-leaf nodes is performed. The final tree structure expresses the hierarchical division of given pattern classes. Experiments show that the proposed method ensures the genera-lization ability while responding rapidly.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115173212","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
An Improved DV-HOP Localization Algorithm Based on High-Precision in WSN 一种改进的基于高精度的无线传感器网络DV-HOP定位算法
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00054
Pingzhang Gou, F. Li, Xiuhong Han, Xiangdong Jia
{"title":"An Improved DV-HOP Localization Algorithm Based on High-Precision in WSN","authors":"Pingzhang Gou, F. Li, Xiuhong Han, Xiangdong Jia","doi":"10.1109/ICRIS.2018.00054","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00054","url":null,"abstract":"In view of the large positioning error caused by DV-Hop algorithm in terms of hop count, average hop distance and estimated position, an improved localization algorithm is proposed. The algorithm is divided into three steps to optimize. The first step, the number of hops is improved by introducing the communication distance. The second step, the optimal hop distance is calculated by using the weighted average number of anchor nodes combined with the minimum mean square error criterion. The third step, the weighted least square method is used to estimate the node coordinates. Simulation results show that the positioning error of the improved algorithm is 12.33%, 16.5% and 10.08% less than the DV-Hop positioning error respectively when the total number of nodes, the communication radius and the proportion of anchor nodes are constant. This effectively improves the positioning accuracy.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114261290","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: 4
Financial System Crisis Early Warning Model Analysis Based on Neural Network with Entropy Method 基于熵法神经网络的金融系统危机预警模型分析
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/icris.2018.00144
Yan Zhang
{"title":"Financial System Crisis Early Warning Model Analysis Based on Neural Network with Entropy Method","authors":"Yan Zhang","doi":"10.1109/icris.2018.00144","DOIUrl":"https://doi.org/10.1109/icris.2018.00144","url":null,"abstract":"In order to improve the security of the financial system, an early warning model based on the entropy method was established. Univariate models, multivariate models, quantitative analysis models, and qualitative analysis models were analyzed. The advantages and disadvantages were introduced. It provided the theoretical basis for the following model selection. After that, the indicators and samples of the follow-up model were designed. The accuracy of the new model, the gradual nature of the financial crisis and the new indicators were assumed. The results showed that the neural network model was relatively accurate in both construction and prediction.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123449358","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
An Analysis on the Path of Helping College Students with Difficult Employment in Micro Media Platform under Intelligent System 智能系统下微媒体平台帮助大学生就业困难的路径分析
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00068
Kunzhe Liu
{"title":"An Analysis on the Path of Helping College Students with Difficult Employment in Micro Media Platform under Intelligent System","authors":"Kunzhe Liu","doi":"10.1109/ICRIS.2018.00068","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00068","url":null,"abstract":"With the continuous development of intelligent system technology, micro-blog, WeChat and other new media platforms are increasingly becoming an integral part of people's study, work and life. With the increasingly serious problem of College Students' employment, making full use of the advantages of intelligent system such as micro media, it can provide a new perspective for the help of college students with employment difficulties. This paper firstly gives a definition and characteristics of micro media, and then summarized the employment difficulties of college students' problems, and the status of the micro media under the background of intelligent system. Finally, put forward the countermeasures of difficult employment graduates under the background of intelligent system such as micro media.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"7 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981530","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
Extractive Document Summarization Based on Hierarchical GRU 基于层次GRU的抽取文档摘要
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00092
Yong Zhang, Jinzhi Liao, Jiuyang Tang, W. Xiao, Yuheng Wang
{"title":"Extractive Document Summarization Based on Hierarchical GRU","authors":"Yong Zhang, Jinzhi Liao, Jiuyang Tang, W. Xiao, Yuheng Wang","doi":"10.1109/ICRIS.2018.00092","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00092","url":null,"abstract":"Neural network has provided an efficient approach for extractive document summarization, which means selecting sentences from the text to form the summary. However, there are two shortcomings about the conventional methods: they directly extract summary from the whole document which contains huge redundancy, and they neglect relations between abstraction and the document. The paper proposes TSERNN, a two-stage structure, the first of which is a key-sentence extraction, followed by the Recurrent Neural Network-based model to handle the extractive summarization of documents. In the extraction phase, it conceives a hybrid sentence similarity measure by combining sentence vector and Levenshtein distance, and integrates it into graph model to extract key sentences. In the second phase, it constructs GRU as basic blocks, and put the representation of entire document based on LDA as a feature to support summarization. Finally, the model is tested on CNN/Daily Mail corpus, and experimental results verify the accuracy and validity of the proposed method.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122542637","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: 6
Map Matching Algorithm Based on V2I Technology 基于V2I技术的地图匹配算法
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00043
Zi-xue Du, Bingxing Liu, Qin Xia
{"title":"Map Matching Algorithm Based on V2I Technology","authors":"Zi-xue Du, Bingxing Liu, Qin Xia","doi":"10.1109/ICRIS.2018.00043","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00043","url":null,"abstract":"A large number of traffic safety and traffic efficiency problems can be solved by technology of V2X(Vehicle to X, X can be infrastructure, vehicle, pedestrian and so on). While map matching technology is the foundation of many V2X applications. This article focuses on V2I(Vehicle to Infrastructure) technology, one of the V2X technology. And it proposes a map matching algorithm based on technology of V2I. Nearby vehicles make information interaction by OBU(on board unit). OBU also obtains local logic map data by V2I. Candidate link set is established by local logic map data. And then the matching link can be determined by calculating the candidate link weight. At last, the real vehicle test was implemented in intelligent connected vehicle closed test area in Chongqing. The feasibility of the algorithm was verified by the test.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674949","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
Simulation Analysis for Cooperative Behavior of Supply Chain Enterprises Based on Game Theory 基于博弈论的供应链企业合作行为仿真分析
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/icris.2018.00149
Huihui Xing, J. Mao, Shiyu Yang
{"title":"Simulation Analysis for Cooperative Behavior of Supply Chain Enterprises Based on Game Theory","authors":"Huihui Xing, J. Mao, Shiyu Yang","doi":"10.1109/icris.2018.00149","DOIUrl":"https://doi.org/10.1109/icris.2018.00149","url":null,"abstract":"With the rapid development of high technology, the competition between enterprises has gradually evolved into the competition among supply chains. The cooperation between supply chain enterprises has become an important way to reduce the cost of enterprises and shorten the product development cycle. To deal with the problem of profit distribution is the key factor to promote cooperation and development of enterprises. In this paper, firstly make a game analysis of the enterprise cooperation in the supply chain, and establish the evolutionary game model of the profit distribution among supply chain enterprises considering subsidy incentives. According to the game situation and environmental assumptions defined by the model, a simulation model is established. The article analyzes the operation results of the simulation model, and obtain the optimal subsidy coefficient and its influencing factors.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294377","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
Application of SAE-DNN in Classification of Equipment Maintenance Value SAE-DNN在设备维修价值分类中的应用
2018 International Conference on Robots & Intelligent System (ICRIS) Pub Date : 2018-05-01 DOI: 10.1109/ICRIS.2018.00138
Jianqiao Sun, Jiaxing Du, Xianzhu Zheng
{"title":"Application of SAE-DNN in Classification of Equipment Maintenance Value","authors":"Jianqiao Sun, Jiaxing Du, Xianzhu Zheng","doi":"10.1109/ICRIS.2018.00138","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00138","url":null,"abstract":"In the equipment support command process, the judgment of the maintenance value of damaged equipment is an important prerequisite for the allocation of power in wartime. Aiming at this problem, the neural network model is researched from the perspective of the classification of maintenance value of wartime equipment, and the training is carried out by Sparse Auto Encoder to improve the training speed. Finally got the classification accuracy of 0.95. The results prove that this model can provide support for wartime equipment support command decision.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634514","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
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