Quanyue Ma, Zhonghua Cheng, Yabin Wang, Shen-yang Liu, Yongqi Gong
{"title":"Research on Equipment Material Direct Supply Flows Based on Process Capability Indices","authors":"Quanyue Ma, Zhonghua Cheng, Yabin Wang, Shen-yang Liu, Yongqi Gong","doi":"10.1109/icris.2018.00033","DOIUrl":"https://doi.org/10.1109/icris.2018.00033","url":null,"abstract":"In order to control equipment material supply flows scientifically, process capability indices of the theory of quality management is introduced. The model of operating time based on process capability indices is established by satisfying the sharpness and reliability of equipment material supply flow. The model can make the cost of equipment material supply flow minimization through the variance pool allocation of individual flows. Then the evaluating model is proved to be reasonable, effective and feasible via analyzing and calculating with examples.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"105 4 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":"133000608","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}
{"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}
{"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}
{"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}
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}
{"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}
{"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}
{"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}
{"title":"Modeling on Guiding Effect of Microcourse on English Learning Interest","authors":"Jie Liang","doi":"10.1109/ICRIS.2018.00112","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00112","url":null,"abstract":"Under the micro-curriculum model, the guiding role of English learning interest is mainly generated through potential development and environmental guidance, in order to quantitatively analyze the guiding role of micro-curriculum in English learning interest. A model of guiding interest in English learning is proposed based on multivariate quantitative recursive analysis. The descriptive statistical analysis is used to construct the constraint parameters of interest guidance in English learning. The guide model of English learning interest in micro-curriculum is transformed into a multi-linear regression model, and each explanatory variable is constructed to perform robust regression analysis. The correlation analysis between English learning interest guidance and English learning quality is realized, and the evaluation of English interest and the prediction of English learning quality are realized by means of multivariate quantitative recursive analysis. The experimental results show that: this method is used to model the guiding role of English learning interest in micro-curriculum mode, the quantitative analysis results are accurate and the evaluation of English learning interest is reliable. The effect of improving English learning quality is obvious.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"540 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":"124530481","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}
Yong Han, Huicong Tang, Feng Tian, Hongwu Huang, K. Mizuno
{"title":"Analysis of the Equation of Motion on the Chest of Hybrid III 3YO Dummy in Dynamic Loads","authors":"Yong Han, Huicong Tang, Feng Tian, Hongwu Huang, K. Mizuno","doi":"10.1109/ICRIS.2018.00137","DOIUrl":"https://doi.org/10.1109/ICRIS.2018.00137","url":null,"abstract":"To investigate the chest loadings of the 3-year-old child occupant in detail using a child restraint system (CRS), a finite element model of sled and energy absorption tubes were established by LS-DYNA. The Sled-CRS FE model in a frontal impact test simulation was conducted utilizing Hybrid III 3-year-old dummy. A method of reproducing crash pulse with the combination of thin-walled circular tubes was used to satisfy acceleration interval requirements of ECE R44 regulation. The equation of motion of chest was established by the internal forces (lower neck, shoulder joint, upper lumbar spine) and external forces (seatbelt force) that are exert on the chest. The simulation results showed that the chest acceleration is related to the external and internal forces. Based on this formula, the mechanism of the chest acceleration that was generated can be examined with time. According to the forces that applied the dummy chest, it is possible to known the load applied to the chest and to judge whether the forces is balanced.","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"43 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120816503","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}