{"title":"Research on Face Recognition Algorithm in Embedded System","authors":"X. Tian, Haobo Long","doi":"10.1109/IICSPI48186.2019.9096027","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096027","url":null,"abstract":"As a friendly biometric method, face recognition has the advantages of not easy to forge, easy to obtain, and high accuracy. The paper builds a development environment for embedded face recognition. In terms of hardware, the embedded development board and camera of the ARM architecture are chosen; in terms of software, the open source Linux operating system is chosen. The virtual machine was installed on the PC, the cross-compilation environment was established, and the kernel, driver and other related ports were transplanted on the development board, which established a stable running environment for the design and development of the face recognition application. An embedded system pooling-patch algorithm based on deep learning pooling operation and Deep ID algorithm is proposed. Experiments on the ORL face database and the face image library of our lab members show that the method not only has a high recognition rate but also takes a short time.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"13 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":"115736282","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":"Research on Air-sending Characteristics Simulation of Air-conditioning System of Air-conditioning Support Equipment for Airplane","authors":"Shen-yang Liu, Kai Wang, Li Wang, Wei Hu","doi":"10.1109/IICSPI48186.2019.9095887","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095887","url":null,"abstract":"Aiming at moisture condensation of air-conditioning support for airplane, this paper analyzes air-conditioning system of air-conditioning support equipment for airplane theoretically, and sets up the air-conditioning simulation model through the Transient System Simulation Program (TRNSYS). Then the influence of different enthalpy humidity ratio and weather conditions to energy consumption are analyzed. Finally the security and efficiency of supplied air state is discussed, which improve air-condition support efficiency of airplane.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"7 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120857675","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":"A Genetic Clustering Method Based on Variable Length String","authors":"Z. Bin, Gan Zhi-chun, Huang Qiangqiang","doi":"10.1109/IICSPI48186.2019.9095977","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095977","url":null,"abstract":"This paper proposes a method based on variable length string genetic algorithm to solve the clustering problem. This method generates the optimal solution by genetic operation of variable length chromosomes, automatically determines the most appropriate number of cluster centers, and effectively solves the existing K-means clustering algorithms’ defects such as highly subject to the constraint of the initial clustering centers and need to specify the specific number of clustering centers. The experimental results and comparison show that the purposed method’s effectiveness.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"52 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":"124992032","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":"Real time energy management and control strategy for CCHP microgrid based on ADHDP","authors":"D. Cheng, Chien-Liang Liu, Jike Ge, Guorong Chen","doi":"10.1109/IICSPI48186.2019.9095960","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095960","url":null,"abstract":"Considering the fact that the optimization of operation process of CCHP microgrid is complex, characterized with uncertainties, nonlinearity, strong coupling and dynamics. This paper proposes a method for optimal operation of CCHP microgrid system based on ADHDP (action based heuristic dynamic programming) to solve this problem. ADHDP involves three neural networks, namely the Action Network, Critic Network and Model Network. The Critic network weights keep being updated inline with the control error and performance index function. In addition, the action network weights keep being updated inline with the control error. The ADHDP model is trained with real-time data of the system until an optimal control strategy of CCHP microgrid is obtained. In the end, the simulation results suggest that the proposed scheduling method has effectively reduced the total electricity cost and improved energy efficiency.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"162 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":"116162289","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}
Hong-li Jia, Xing Song, Jian Gao, Qian Wang, Quanyue Ma
{"title":"Equipment Management Information System Evaluation Based on Entropy Weight Method and AHP Model","authors":"Hong-li Jia, Xing Song, Jian Gao, Qian Wang, Quanyue Ma","doi":"10.1109/IICSPI48186.2019.9095965","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095965","url":null,"abstract":"The system idea was used to comprehensively evaluate the equipment management information system construction, and the implementation effect of the equipment management information system was objectively reflected, thus a scientific basis for system decision-making was provided. Firstly, the index system of the military equipment management information system was established. On the basis of this, the entropy weight method and the AHP model were combined to evaluate the equipment management information system, and finally, the comprehensive level of the equipment management information system is obtained. The results show that the evaluation of the equipment management information system based on the entropy weight method and the AHP model can effectively test the equipment management information system capability of a certain type of force and provide guidance and reference for further decision-making.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"309 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":"116462328","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":"A semi-analytical method for acoustic black hole cantilever beams","authors":"Chao Feng, Bei-bei Sun","doi":"10.1109/IICSPI48186.2019.9096032","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096032","url":null,"abstract":"In this paper, a semi-analytical method for acoustic black hole cantilever beams is presented. Based on Euler-Bernoulli beam theory, the governing equation of the free vibration of the variable section beam is derived. The finite difference method (FDM) is used to solve the equation. The mode shape and nature frequency of the one-dimensional acoustic black hole (ABH) cantilever beam is obtained, and the error between the result and the finite element result is within 1%, which proves that the method has high precision. The effects of various parameters of ABH beam on natural frequency and mode shape are studied. The results show that as the exponent m increases, the natural frequency decreases. The higher the order, the lower the percentage. The thickness of the free end hn increases, the natural frequency increases, and the higher the order, the greater the increase. Moreover, m and hn have a certain influence on the node and amplitude of the mode. The semi-analytical method in this paper is simple and efficient, with good accuracy and convergence. The parameterization is convenient, and its good programmability is very convenient, which means that it provides a simple and efficient new method for parameterization and optimization design of the acoustic black hole beams.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"9 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":"122732057","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}
L. Pinyan, Guo Denghua, Guan Xiaocun, Liu Baolong, Guan Shaohua, W. Shuai
{"title":"Accelerated Calculation and Analysis of Multi-stage Coil Gun Model Based on Current Filament Method","authors":"L. Pinyan, Guo Denghua, Guan Xiaocun, Liu Baolong, Guan Shaohua, W. Shuai","doi":"10.1109/IICSPI48186.2019.9095959","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095959","url":null,"abstract":"Based on the mathematical model of the current filament method in induction coil gun, the factors of inductance matrix in the mathematical model are studied. The schemes of sparsing mutual inductance gradient matrix and inversing the matrix by block iterative and order reduction are used to shorten the time of the current filament method simulation model while maintaining reliability. In order to verify the validity and reliability of the improved current filament simulation model, the 25-stage, 50-stage and 100-stage induction coil guns are taken as the research objects respectively. The results of the current filament method simulation model before and after improvement are compared. The effectiveness and reliability of the improved current filament method are verified. In order to further study the influence of the sub-schemes, the 50-stage and 100-stage induction coil guns are taken as the research objects, and the influence of each sub-scheme is analyzed by the control variable method. It can be seen from the results that inversing the matrix by block iterative and order reduction is better than sparsing mutual inductance gradient matrix in shortening the time of the simulation model.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"8 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":"128469198","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}
Jingwei Liao, Mantao Wang, Zhouyu Tan, Weijun Gao, Yuchen Wang, Jie Zhang, Lixin Luo
{"title":"The Design and Implementation of Plant Disease Spot Segmentation Algorithm Based on Improved CV Model","authors":"Jingwei Liao, Mantao Wang, Zhouyu Tan, Weijun Gao, Yuchen Wang, Jie Zhang, Lixin Luo","doi":"10.1109/IICSPI48186.2019.9095875","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095875","url":null,"abstract":"In view of the shortcomings of which CV model can’t divide grayscale uneven image and need to set the initial segmented contour manually and so on. This paper introduces Otsu algorithm based on the CV model, to make sure the Initial segmented contour and avoid the shortcomings which need to set the initial segmented contour manually, at the same time, making CV model get good segmentation effect on gray uneven image through introducing local variance. The result proves that though the number of iterations is less than original CV model, it also can get better effect than original CV model, Closer to the profile of plant disease in this paper, meanwhile, the method adopted by this paper make computing speed faster than the original algorithm.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"16 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":"128643145","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":"Research on Fault Diagnosis Method Based on Reciprocating Compressor","authors":"Guorong Chen, Hong Ren, Yao Liu, Hongli He","doi":"10.1109/IICSPI48186.2019.9096034","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9096034","url":null,"abstract":"Based on the research and analysis of related fault diagnosis technologies at home and abroad, a fault diagnosis method for reciprocating compressors based on support vector machine and gravity search algorithm is proposed. This method optimizes the kernel parameters of SVM. Combined with an example of a fault diagnosis model of a reciprocating compressor, the analysis results show that the fault diagnosis method of a reciprocating compressor using the GSA-SVM algorithm has higher recognition accuracy than the SVM algorithm.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"45 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":"123236092","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":"Research of Monitoring Device of Train Running Attitude","authors":"Xueyi Song, Jiaxin Wang, Yuanxiang Li, Peng Li","doi":"10.1109/IICSPI48186.2019.9095919","DOIUrl":"https://doi.org/10.1109/IICSPI48186.2019.9095919","url":null,"abstract":"With the development of railway technology there are higher requirements for the technical guarantee of train transportation safety. The train running attitude can be a auxiliary for the safety. This paper constructs a high-speed train running attitude parameter measurement and recording system, which can measure the attitude parameters and other characteristic parameters in the process of high-speed train running online in real time, and make real-time analysis of the train running attitude parameters. The design uses two sets of equipment and the Kalman filter to ensure an accurate result. The data acquisition boards and the upper computer communication with each other by WLAN and use socket to establish TCP connect. The design also gets a low cost by customizing development boards for data acquisition. After testing the monitoring device could implement the function of running attitude monitoring and achieve a good result the success rate reached 99%.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"3 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":"121274592","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}