Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai
{"title":"A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control","authors":"Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai","doi":"10.1109/EIIS.2017.8298564","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298564","url":null,"abstract":"Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10–20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653743","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":"Gstreamer accomplish video capture and coding with PyGI in Python language","authors":"Lei Wang, Lei Zhang, Yan Ma","doi":"10.1109/EIIS.2017.8298579","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298579","url":null,"abstract":"On the one hand, Gstreamer is a framework for creating streaming media applications, and it can process any kind of data flow. On the other hand, GTK+, or the GIMP Toolkit, is a multi-platform toolkit for creating graphical user interfaces. In this paper, the specific packages of Gstreamer which are used for achieve goals in Python language is analyzed. Also, the advantages of Python is introduced. This work is just a try to design streaming media with Gstreamer in Python language. So a Small graphics software which can achieve video capture and coding using Gstreamer will been designed, and the Small graphics software will been wrote in Python language. In the Small graphics software, data flow will been encoded using H.264. Also, GTK will been used to design the graphical interface.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133104127","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":"Design of switching power supply based on Cadence","authors":"He Liu, Yifu Zhang, Xue Jiang, Shuang Zhang","doi":"10.1109/EIIS.2017.8298639","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298639","url":null,"abstract":"This paper introduces the topology structure of a step-down switching power supply and the simulation model, for the purpose of researching the modulation strategy and solution of PWM pulse width. The simulation software Cadence is used to assist the design of the step-down switching power circuit, and the simulation results could be acquired in this way. In this paper, we will present many aspects of the new technology, including transformer and circuit design, new topologies, the use of higher switching frequencies, and integrated PWM chips. So as to make the circuit more reliable and safer, we have increased power factor correction circuit and filter circuits to improve signal to noise ratio (SNR) of the circuit.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122063649","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 of a Li-ion battery/supercapacitor hybrid system for electric vehicle based on secondary development of ADVISOR","authors":"Xiao Peng, Q. Shuhai, Xie Chang-jun","doi":"10.1109/EIIS.2017.8298690","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298690","url":null,"abstract":"The Li-ion battery (BT)/supercapacitor (SC) hybrid system (HESS) electric vehicle (EV) has advantages compared to the BT only used EV. Simulation is an essential step in the analysis and design of a BT /SC HESS EV. The secondary development of ADVISOR (advanced vehicle simulator) for a BT/SCHESS EV is studied. The BT/SC model and energy management strategy are introduced. A SAFT li-ion BT and a Maxwell SC tested data are used in the HESS EV. The simulation results are given.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128687702","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}
Yuhao Zhu, Xie Li, Hui Zheng, Zhen Yang, You Wu, Jian Fei, Zhuang Fu
{"title":"Control of time varying nonlinear system of supporting robot based on neural network","authors":"Yuhao Zhu, Xie Li, Hui Zheng, Zhen Yang, You Wu, Jian Fei, Zhuang Fu","doi":"10.1109/EIIS.2017.8298549","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298549","url":null,"abstract":"This paper takes mining hydraulic supporting robot as the research object. On the basis of analyzing the dynamic model of the supporting robot and transfer functions of the hydraulic system, system construction and simulation are realized in Simulink. Due to the existence of time-varying parameters in the system, common negative feedback controls are not effective and stable. Therefore, a neural network adaptive PID controller is proposed in this paper, and results are analyzed and compared with traditional PID control. Results show that the neural network adaptive PID controller has fast response speed and very small overshoot. The remarkable feature is that the system shows an excellent adaptive ability to quickly return to the control position after interference impacts, which fully demonstrates the effectiveness of the neural network adaptive PID controller for hydraulic supporting robot time-varying system.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806526","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":"The research of QR code image correction based on image gray feature","authors":"Muming Li, Peng Cao, Liuping Feng, Lifang Yu, Jianbo Chen, Jing Wang","doi":"10.1109/EIIS.2017.8298583","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298583","url":null,"abstract":"To solve the problem that traditional geometric correction algorithms of QR code will be influenced by light, shooting impact angle, correction algorithm robustness and so on, this paper proposes an adaptive algorithm based on image gray features, which achieves the accurate reading and rapid correction of QR code location information. After the pre-processing of QR code image, this algorithm calculates the dynamic threshold according to the gray value of feature image and the calculated threshold is used to confirm the most appropriate threshold of the QR location information. Then, we can get four accurate vertexes coordinates of QR code image and accomplish the accurate correction of QR code image based on projection transformation. The algorithm is able to complete effective correction for these captured images under different environments and solve the key technical bottlenecks of QR code recognition.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114982562","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}
Boya Wang, Jianqing Xu, Junbao Li, Cong Hu, Jeng-Shyang Pan
{"title":"Scene text recognition algorithm based on faster RCNN","authors":"Boya Wang, Jianqing Xu, Junbao Li, Cong Hu, Jeng-Shyang Pan","doi":"10.1109/EIIS.2017.8298720","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298720","url":null,"abstract":"Industrial session of the natural scene in the text recognition technology has a great demand. The traditional optical character recognition technology (OCR) requires the text neat layout and neatness and background clean, and industrial production often fail to meet such standards. In this paper, a new text recognition algorithm based on deep learning is proposed for the existing problems of OCR technology. In this paper, a new method based on convolution neural network (Faster RCNN) is proposed to improve the correctness of text recognition. Compared with the conventional detection method, the correct rate of recognition based on Faster RCNN model can reach 90.4%, and the correctness rate is 88.9%. Experiments show that the recognition method in this paper is effective.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121576729","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}
Wang Lin, Luo Dongying, Shi Haizhang, Liu Mengying
{"title":"A comparative study on the interpersonal network of learning promotion and employment competitiveness","authors":"Wang Lin, Luo Dongying, Shi Haizhang, Liu Mengying","doi":"10.1109/EIIS.2017.8298557","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298557","url":null,"abstract":"Facing the present situation of the current employment problem of university graduates and the poor learning situation, this paper attempts to start from the perspective of social network effects, employment competitiveness of college students interpersonal network and learning to promote the structural characteristics of the network inquiry. Research through questionnaire survey and interviews to collect information and build a network of relationships, using a combination of qualitative and quantitative analysis, with the aid of the UCINET social network analysis software to analyze the influence degree of relationship types and corresponding network effects, achieve the visual description of the topological structure on the network. Besides, the research measured the degree based on social network analysis methods, analyzes the net's cohesive subgroups with algorithm of factions and clique. The study found that college students employment competitiveness promoting interpersonal network and learning promoting interpersonal network are largely coincides in the matter of the influence of relationship types, the impact strength and the network nodes; school teachers and students relations, alumni relations and parent-child relationship play a huge role in the two types of networks.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127571092","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":"Accelerated stochastic gradient method for support vector machines classification with additive kernel","authors":"Xufeng Wang, Shuisheng Zhou","doi":"10.1109/EIIS.2017.8298732","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298732","url":null,"abstract":"Support vector machines (SVMs) have been widely used for classification in machine learning and data mining. However, SVM faces a huge challenge in large scale classification tasks. Recent progresses have enabled additive kernel version of SVM efficiently solves such large scale problems nearly as fast as a linear classifier. This paper proposes a new accelerated mini-batch stochastic gradient descent algorithm for SVM classification with additive kernel (AK-ASGD). On the one hand, the gradient is approximated by the sum of a scalar polynomial function for each feature dimension; on the other hand, Nesterov's acceleration strategy is used. The experimental results on benchmark large scale classification data sets show that our proposed algorithm can achieve higher testing accuracies and has faster convergence rate.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888437","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 real-time path planning of mobile robot in a complex and dynamic environment","authors":"Yan Deng, X. Zhuang, G. Yang, Yanqi Chen","doi":"10.1109/EIIS.2017.8298569","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298569","url":null,"abstract":"Many traditional path planning of mobile robot are unable to adapt to the complex and dynamic environment. This paper proposes an improved real-time path planning algorithm of mobile robot based on cellular neural network by idea of artificial potential field. The target neuron has the maximal positive active value which is damply spread to the whole state space by local lateral connections of neurons in the path planning. The mobile robot was attracted to the target through the neural activity propagation, while the obstacles put away the mobile robot to avoid collision by making themselves keep the lowest active value. The experimental results indicate that the path planning algorithm was continuous, optimal, and the mobile robot could respond quickly to the complex and fast changing environmen.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124246542","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}