Haipeng Guo, Libin Huang, Wenxiang Li, Songli Wang
{"title":"A study on temperature compensation for the MSRA based on the ring pipe","authors":"Haipeng Guo, Libin Huang, Wenxiang Li, Songli Wang","doi":"10.1109/EIIS.2017.8298651","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298651","url":null,"abstract":"The Micromechanical Silicon Resonant Accelerometer (MSRA) is an important research direction of the high-precision Micro-accelerator. In order to alleviate the influence of the operating ambient temperature on the performance of MSRA, this paper analyzes temperature characteristics of the ring pipe, builds the mathematical model reflecting the relationship between the voltage and temperature of the ring pipe, and derives the functional relationship between the resonator's resonant frequency and the ring pipe's voltage. Following that, the ring pipe's voltage is adopted for direct temperature compensation of the resonator's resonant frequency. Test results suggest that the temperature compensation method show favorable compensation effects as to differential output of the MSRA, and can efficiently improve the performance of the MSRA.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133156210","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 Li, Zhao Hui, Luo Zhengbang, Yu Yongyang, L. Ximin, Xie Yutong
{"title":"Effectiveness analysis of primary and secondary protective measures for 500 kV substation switch transient field","authors":"Wang Li, Zhao Hui, Luo Zhengbang, Yu Yongyang, L. Ximin, Xie Yutong","doi":"10.1109/EIIS.2017.8298624","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298624","url":null,"abstract":"Measurement, monitoring, and other secondary equipment that devolve to switch field are directly exposed to a complex electromagnetic environment and are thus severely disrupted. This study aimed to reduce a fast transient overvoltage and secondary cable terminal interference voltage. Simulation and analysis involved the substation EMTP calculation model of the conducted interference of the primary and secondary systems for the fast transient overvoltage caused by the switching operation and secondary cable in the conducted interference protection measures. Furthermore, various protective measures for the isolating-switch switching no-load transformer were analyzed. Results showed that parallel resistance added to the isolating switch at the primary side, whereas filter capacitance added to the secondary side, both measures significantly reduced overvoltage and interference voltage, and can be easily applied in practical engineering.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152602","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 video face detection based on AdaBoost algorithm training classifier","authors":"Meng Yu, Lijun Yun, Zaiqing Chen, Feiyan Cheng","doi":"10.1109/EIIS.2017.8298627","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298627","url":null,"abstract":"In this paper, we train the classifier with CAS-PEAL-R1 face database which vary in pose, lighting, accessories and expression in order to solve the complexity of face detection in surveillance video, and then apply the classifier to video face detection system. First of all, single frame from video sequence is wiped off noise by the median filtering and average filtering, after that, the skin color segmentation of the preprocessed images was performed using the simple skin color model established in YCbCr space. We use geometric rules to exclude a part of facelike region in order to further accelerate the speed of face detection, and then use the classifier for the remaining face detection. Finally, the experiment results show that the algorithm can detect faces in surveillance video quickly and precisely based on OpenCV and Qt platform.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326484","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}
Dekui Lv, Xiaxin Ying, Yanjun Cui, Jianyu Song, K. Qian, Maolin Li
{"title":"Research on the technology of LIDAR data processing","authors":"Dekui Lv, Xiaxin Ying, Yanjun Cui, Jianyu Song, K. Qian, Maolin Li","doi":"10.1109/EIIS.2017.8298694","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298694","url":null,"abstract":"LIDAR (Light Detection And Ranging) as a new high resolution earth space information technology, has the characteristics of short data production cycle, little influence by different weather, high degree of automation etc. Aiming at discussions on making DEM, DOM and the point cloud processing, this paper briefly describes the LIDAR data processing technology, states the present situation of this application in aspects of national economic construction and military detection. And then the application prospect forecast is put forward.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123087495","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":"Study on the impact of brain structure on BMIT signal detection","authors":"Huan Liu, Qiang Du, Li Ke","doi":"10.1109/EIIS.2017.8298662","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298662","url":null,"abstract":"Brain magnetic induction tomography (BMIT) is a new brain medical imaging technology, which reflects the electrical conductivity distribution of brain based on impedance measurements. The aim of this paper is to study the effect of brain structure to BMIT signal detection through simulation. Firstly, a three-dimensional simplified brain model of three layers is established. A new BMIT simulation system is presented based on the new brain model. Secondly, Comsol software is used to simulate the effects of the brain structure conductivity to BMIT signal detection. Finally, the phase data at the imaging region boundary coil is collected. The results show that the skull to BMIT signal is attenuation, the attenuation ratio of 0.318, and the scalp to BMIT signal is enhanced, the enhance ratio of 0.091. Combined with the method of the phase standardization, the influence of the brain structure on the BMIT signal detection is reduced, and the distribution of conductivity is more accurate.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654424","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 pennisetum species' buds identification based on machine vision","authors":"F. Zhao, Shuhe Zheng","doi":"10.1109/EIIS.2017.8298734","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298734","url":null,"abstract":"In this study, machine vision technology is applied to obtain the buds information of pennisetum spp., and it could improve the accuracy of seed preparation equipment. Here we summarized the system of machine vision that applied to identify the buds of pennisetum spp.. Digital image processing method used for recognizing the characteristics of pennisetum spp. was put forward in this study. Based on the current research condition, finally, this paper discussed issues and study prospects of seed preparation equipment in the field of stalk crops characteristics identification.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130562726","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 metro risk assessment and maintenance management based on big data","authors":"Funian Li, Zhongbo Dong, Kailun Wen","doi":"10.1109/EIIS.2017.8298684","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298684","url":null,"abstract":"The risk management and maintenance management of urban subway is very import, which can reduce or eliminate the adverse influence of risk factors and prolong the structure service. First, the framework of the safety risk assessment and maintenance management is introduced. Secondly, the process of risk assessment management is given according to the different risk characteristics during the construction and operation phases. Finally, according to the metro safety standard, the expert system based on JESS is proposed to automatically provide the best maintenance strategy.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780846","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 self-organization satellite communication system based on single-frequency","authors":"Yijiang Wang, Jiping Li, Fuhua Yang","doi":"10.1109/EIIS.2017.8298642","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298642","url":null,"abstract":"Satellite communication network structure is generally divided into star network, mesh network and hybrid network. Generally, a main station will be set up in the network, through which the control, detection, management and maintenance of the entire network can be implemented. One of the drawbacks of the network containing main station is its strong dependence, once the main station is malfunctioned or destroyed, the whole network will paralyze. In the network management structure, the network corresponding to the network with a main station is generally defined as self-organization network. This paper proposes a self-organization method based on single-frequency TDMA for small satellite communication network, which can transmit multiple type of business and contains a small number of sites. As there is no main station, the construction period is shorter and the cost is lower. Each site takes up free time slot by sending/receiving tests and initiates communication, thus the whole process is flexible and easy.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131308437","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":"Intelligent generating test paper based on improved genetic algorithm","authors":"Zhaoxia Tang","doi":"10.1109/EIIS.2017.8298573","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298573","url":null,"abstract":"A new algorithm for intelligent test based on genetic algorithm is proposed in this paper. Firstly, this algorithm improves the basic genetic algorithm for two times, furthermore, the cross-probability and variation-probability of the genetic algorithm can be adjusted according to the degree of individual adaption. In this way, the individual structure of high fitness is not destroyed, and the phenomenon of slow search speed is overcome, thereby it effectively improves the speed and quality of the test paper. The experimental results show that the improved algorithm significantly improves the global optimization ability and speed, it has high robustness.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"30 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122474701","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 new method for alleviating sequence-specific biases in DNase-seq","authors":"Siwen Xu, Ying Wang, Huan Liu, Duojiao Chen, Hongyuan Bi, Weixing Feng","doi":"10.1109/EIIS.2017.8298582","DOIUrl":"https://doi.org/10.1109/EIIS.2017.8298582","url":null,"abstract":"DNasel footprinting is an established approach for recognizing transcription factor binding sites. High-throughput DNase-seq arrays have been used to depict in vivo DNase footprints with single base pair resolution. Many different computational methods have been developed to predict binding sites through the DNase-seq footprinting. However, cleavage bias of DNaseI leads to a negative impact on the prediction accuracy. In this study, we present a new method to reduce the impact of this sequence-specific bias. In the experimental verification section, we use SVM to test our approach, the better classification result illustrates the effectiveness of our new method.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069062","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}