2019 2nd International Conference on Safety Produce Informatization (IICSPI)最新文献_第2页

Density Peaks Spatial Clustering by Grid Neighborhood Search 基于网格邻域搜索的密度峰空间聚类

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095889

Shaotong Luan, Cong Lu, Liang Bai, Haoran Wang

引用次数: 1

Occluded Work-piece Localization via Adversarial Network and Template Matching 基于对抗网络和模板匹配的闭塞工件定位

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095941

Yingyuan Jiang, Yuping Li

引用次数: 0

Design and experimental research of video detection system for ship fire 船舶火灾视频检测系统的设计与实验研究

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095929

J. Feng, Yang Feng, Luo Ningzhao, Wu Benxiang

引用次数: 5

Integrated application of standardization technology and e-commerce in livestock and poultry safe production - take pig as an example 标准化技术与电子商务在畜禽安全生产中的集成应用——以生猪为例

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9096026

Xiaohua Xu, Changxi Chen

引用次数: 2

Research on Intelligent Network Auto Software Testing Technology 智能网联汽车软件测试技术研究

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9096016

Feng Xiao-rong, Jia Shizhun, Mai Songtao

引用次数: 1

Birnbaum importance evaluation method for multistate CNC machine tools under uncertainty title 不确定标题下多状态数控机床Birnbaum重要性评价方法

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095957

Bing Zhang, Zhaojun Hao, Xingjun Yuan, Lifang Wang

{"title":"Birnbaum importance evaluation method for multistate CNC machine tools under uncertainty title","authors":"Bing Zhang, Zhaojun Hao, Xingjun Yuan, Lifang Wang","doi":"10.1109/IICSPI48186.2019.9095957","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095957","url":null,"abstract":"With the improvement of science and technology, the manufacturing technology of CNC machine tools has become one of the irreplaceable important technologies in the manufacturing field. However, the manufacturing process, in actual production, often makes the accuracy of the product unsatisfactory for a variety of reasons. The importance evaluation is an effective means to identify the weak link of reliability, and the analysis results can be used as the basis for design and maintenance. However, the existing methods of importance evaluation assume that the degradation process is accurate and known. Due to the uncertainty of the parameters of the degradation model caused by the lack of failure data and the unclear mechanism of the CNC machine tool in the manufacturing process, a Bimbaum importance evaluation method of the multi-state CNC machine tool under uncertainty is proposed. On the one hand, based on the Markov model, the reliability modeling of multi-state CNC machine tools is carried out. On the other hand, Dempster-Shafer evidence theory is used to quantify the uncertainty of model parameters. This method is applied to the reliability evaluation of the cutter feeding control system of CNC machine tools. And the result reflect the effect of uncertainty on importance evaluation and ranking.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131026501","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

Moth flame optimization algorithm based on quadratic interpolation for data clustering 基于二次插值的蛾焰优化算法进行数据聚类

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095945

Qiuping Wang, J. Guo, Yanting Xiao

{"title":"Moth flame optimization algorithm based on quadratic interpolation for data clustering","authors":"Qiuping Wang, J. Guo, Yanting Xiao","doi":"10.1109/IICSPI48186.2019.9095945","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095945","url":null,"abstract":"K-means clustering is a clustering technique based on partition. It is widely used in practice because of its simplicity and efficiency. However, it has shortcomings of highly relying on initial clustering center and possibly trapping into local optimum. Firstly, a revised moth flame optimization algorithm with quadratic interpolation is proposed to overcome the defects of K-means and to revise the quality of solution and iterative efficiency of the basic algorithm. The initial population with better diversity is generated by using tent chaotic map to ameliorate the exploration ability of the algorithm. Arithmetical crossover operation for flame location produces new flame with better diversity to guide the moth finding the optimal solution so that the iterative efficiency of the algorithm is ameliorated. Selecting the moths of population to perform quadratic interpolation is helpful for the algorithm to converge rapidly near the optimal solution. It can polish up exploitation ability of the algorithm. The high performance of the improved algorithm is then employed for optimize the location of cluster centers and is examined by five UCI datasets. The experiment results indicate that the improved technique is suitable for finishing problem clustering via k-means, and good clustering results are obtained.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109215","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

Research on Routing Optimization of SDN Network Using Reinforcement Learning Method 基于强化学习方法的SDN网络路由优化研究

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9095940

Zhengwu Yuan, Peng Zhou, Shanshan Wang, Xiaojian Zhang

{"title":"Research on Routing Optimization of SDN Network Using Reinforcement Learning Method","authors":"Zhengwu Yuan, Peng Zhou, Shanshan Wang, Xiaojian Zhang","doi":"10.1109/IICSPI48186.2019.9095940","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095940","url":null,"abstract":"The development of computer networks is making it become more complex and dynamic. How to achieve efficient package-routing in the SDN (Software Design Network) has become hot research field. SARSA-Learning is a typical Reinforcement Learning algorithm. Through the on-policy exploration and learning of the network environment, it can be used to derive the optimal decision in an unknown network environment, in this way, the network data routing and forwarding can be effectively completed. This paper yields a SARSA-Learning Routing algorithm with variable greedy function (Variable $varepsilon$-Greedy function within SARSA-Learning Routing, V-S Routing). The V-S Routing algorithm preserves the efficiency of the SARSA-Leaning framework. The purpose of V-S Routing introduces a variable factor to $varepsilon$-Greedy function. The V-S Routing algorithm can be dynamically calculated to represent the priority of the current state in the SDN network and to solve the problem of SDN network optimal route selection, which can avoid long package waiting queue and reduce SDN network congestion and improve the link transmission speed. The Variable $varepsilon$-Greedy function makes the algorithm more suitable to the network environment, and it also makes V-S Routing algorithm having better generalization ability. The experimental results verify the effectiveness of the algorithm.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661859","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

Leader-following consensus of multi-agent system based on cellular neural networks framework 基于细胞神经网络框架的多智能体系统的领导-跟随共识

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9096018

Qi Han, Rui Cao, GangQiang Ye, Guorong Chen

{"title":"Leader-following consensus of multi-agent system based on cellular neural networks framework","authors":"Qi Han, Rui Cao, GangQiang Ye, Guorong Chen","doi":"10.1109/IICSPI48186.2019.9096018","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096018","url":null,"abstract":"Cellular neural networks have been applied in many fields and have shown good results. Therefore, this article studies the leader-following consensus problem (MSALFC) of multi-agent systems with fixed directed topology under cellular neural networks framework (CNNF). Compared with the common consensus problem, agents' communication topology is reconstructed through CNNF. Then, the breadth-first algorithm is used to cut unnecessary connections in the system. So that the undirected communication topology based on CNNF is transformed into a directed topology with only one spanning tree and communication protocol are constructed. Finally, an effective control protocol is designed to help the system achieve leader-follower consensus and Lyapunov stability theory is used to establish the sufficient condition to guarantee the realization of MSALFC. The communication protocol based on CNNF can not only effectively achieve the consistency of the system, but also reduce the communication traffic in the System. Numerical simulation is given to illustrate the theoretical results.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127656311","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

Real-time monitoring method of pipeline deformation based on Internet of things 基于物联网的管道变形实时监测方法

2019 2nd International Conference on Safety Produce Informatization (IICSPI) Pub Date : 2019-11-01 DOI: 10.1109/IICSPI48186.2019.9096033

Mengyuan Ren, Xiaolong Chen, Haoyu Yu

{"title":"Real-time monitoring method of pipeline deformation based on Internet of things","authors":"Mengyuan Ren, Xiaolong Chen, Haoyu Yu","doi":"10.1109/IICSPI48186.2019.9096033","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096033","url":null,"abstract":"With the increased number and extended length of oil pipelines in China, accidents caused by pipeline damages show the same trend. Traditional monitoring methods mainly adopt regular manual detection which, though easy to operate, yet cannot realize real-time monitoring and deployment. This paper puts forwards a real-time monitoring method based on the internet of things technology for monitoring pipeline deformation. In this method, the pipelines’ attitude angles at certain location are firstly obtained by the inclinometers-based sensing nodes. The measurement results are then delivered to the sink nodes by short-distance wireless communication modules. The sink nodes can upload the measured data to a cloud server by long-distance wireless communication modules. At the same time, anyone who are permitted to get access to the server’ database can obtain the real-time data and then process these data with proper way. In this paper, cubic spline interpolation algorithm is used so as to obtain a deflection curve of the pipeline’s profile. Visual graphics technique is utilized to display the real-time deformation of pipelines. At last, the feasibility of the proposed method is verified by a series of testing.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131266684","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