Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867230
Jie Liu, Zekun Liu, Zhihong Wang, Junyi Cao
The AS5048 is applied in high precision and small Angle position control system of scanning mechanism in portable raster scan type spectrum analyzer with dc torque motor. This paper expounds the working principle, main features of AS5048, installation and using, and implementation method in position control. The design of permanent magnet dc torque motor position control system adopts the special motor control chip TMS320F2812. It cooperates with software control method and motor drive module, realizing the motor's forward-reversing, start-stop, small angle control. The experimental results show that AS5048 work reliablly, servo system moves highly precious and basically meets the application of spectral instrument.
{"title":"AS5048 magnetic encoder for the application in DC motor position control of portable spectrometer","authors":"Jie Liu, Zekun Liu, Zhihong Wang, Junyi Cao","doi":"10.1109/IMCEC.2016.7867230","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867230","url":null,"abstract":"The AS5048 is applied in high precision and small Angle position control system of scanning mechanism in portable raster scan type spectrum analyzer with dc torque motor. This paper expounds the working principle, main features of AS5048, installation and using, and implementation method in position control. The design of permanent magnet dc torque motor position control system adopts the special motor control chip TMS320F2812. It cooperates with software control method and motor drive module, realizing the motor's forward-reversing, start-stop, small angle control. The experimental results show that AS5048 work reliablly, servo system moves highly precious and basically meets the application of spectral instrument.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322441","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867214
Cheng Qian, Zhu Jiang, Gao Kai
A polarization hopping wireless communication system is proposed, the polarization hopping sequence is designed and the matching relationship between polarization hopping sequence and polarization states of antennas is put forward for the proposed polarization hopping wireless communication system. Then the system performance under different pseudo-random sequences is simulated from the synchronization standpoint using MATLAB. The simulated results demonstrate that RS sequence behaves the best randomness and the proposed system can achieve best synchronization performance with RS sequence.
{"title":"Research on the polarization hopping sequence for the polarization hopping communication system","authors":"Cheng Qian, Zhu Jiang, Gao Kai","doi":"10.1109/IMCEC.2016.7867214","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867214","url":null,"abstract":"A polarization hopping wireless communication system is proposed, the polarization hopping sequence is designed and the matching relationship between polarization hopping sequence and polarization states of antennas is put forward for the proposed polarization hopping wireless communication system. Then the system performance under different pseudo-random sequences is simulated from the synchronization standpoint using MATLAB. The simulated results demonstrate that RS sequence behaves the best randomness and the proposed system can achieve best synchronization performance with RS sequence.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121220661","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867374
Yi Weiming, Wang Zuo, Wang Jing
PHN (Phase Noise) can lead to CPE (Common Phase Error) and ICI (Inter-carrier Interference) especially in the Multi-Carrier transmission system. Most existing methods usually estimate the PHN by adding redundant pilots and virtual carriers and then recover the signals by the estimated PHN, which decrease the transmission efficiency. A tensor-based signal detection method is proposed to deal with the signals' recovery in wireless communication system with MIMO (Multiple-Input Multiple-Output) and OFDM (Orthogonal Frequency Division Multiplexing). The benefit of the proposed tensor-based method is that it can directly recover the received signals at the base station without estimating the phase noise in advance and can fulfill both the PHN estimation and the signal detection at the same time during the iterations. The proposed method also reduces the number of redundant pilots and virtual carriers, thus improves the data's transmission efficiency. Simulation results indicate that the proposed signal detection method can generate satisfied performance on BER (Bit Error Rate) and demonstrates the effectiveness of the tensor-based communication signal analysis method.
{"title":"Tensor-based multi-carrier signal detection in the presence of phase noise","authors":"Yi Weiming, Wang Zuo, Wang Jing","doi":"10.1109/IMCEC.2016.7867374","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867374","url":null,"abstract":"PHN (Phase Noise) can lead to CPE (Common Phase Error) and ICI (Inter-carrier Interference) especially in the Multi-Carrier transmission system. Most existing methods usually estimate the PHN by adding redundant pilots and virtual carriers and then recover the signals by the estimated PHN, which decrease the transmission efficiency. A tensor-based signal detection method is proposed to deal with the signals' recovery in wireless communication system with MIMO (Multiple-Input Multiple-Output) and OFDM (Orthogonal Frequency Division Multiplexing). The benefit of the proposed tensor-based method is that it can directly recover the received signals at the base station without estimating the phase noise in advance and can fulfill both the PHN estimation and the signal detection at the same time during the iterations. The proposed method also reduces the number of redundant pilots and virtual carriers, thus improves the data's transmission efficiency. Simulation results indicate that the proposed signal detection method can generate satisfied performance on BER (Bit Error Rate) and demonstrates the effectiveness of the tensor-based communication signal analysis method.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121813893","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867198
Yonghui Zhai, Ding Wang, Jiang Wu
Utilizing the sparsity of the clutter time delay, a novel clutter cancellation method based on sparse representation is proposed to improve the cancellation performance when fractional time delay exists in the clutter of the surveillance signals. The proposed method performs the cancellation by transforming the clutter cancellation problem to the sparse signal reconstruction problem, in which the spectrum division technique is introduced to establish the signal model of the clutter time delay measurement. Taking advantage of the sparse representation theory, high estimation accuracy and resolution of the time delay are achieved in the proposed method. The simulation results prove that compared with the traditional methods, the proposed method improves the clutter cancellation and weak target detection performance when there exists clutter with fractional time delay at low signal-to-noise ratio.
{"title":"A novel clutter cancellation method based on sparse representation for passive radar","authors":"Yonghui Zhai, Ding Wang, Jiang Wu","doi":"10.1109/IMCEC.2016.7867198","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867198","url":null,"abstract":"Utilizing the sparsity of the clutter time delay, a novel clutter cancellation method based on sparse representation is proposed to improve the cancellation performance when fractional time delay exists in the clutter of the surveillance signals. The proposed method performs the cancellation by transforming the clutter cancellation problem to the sparse signal reconstruction problem, in which the spectrum division technique is introduced to establish the signal model of the clutter time delay measurement. Taking advantage of the sparse representation theory, high estimation accuracy and resolution of the time delay are achieved in the proposed method. The simulation results prove that compared with the traditional methods, the proposed method improves the clutter cancellation and weak target detection performance when there exists clutter with fractional time delay at low signal-to-noise ratio.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123868605","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867378
Xinghong Qiao, Fei Luo, Yuge Xu
A novel approach for H∞ robust PID synthesis is developed for wastewater treatment system. In operational terms, the simplification model is obtained by simplifying the Activated Sludge Model No.1 (ASM1). The main objective of this paper is to synthesize a robust PID control structure, which keep the substrate concentration and dissolved oxygen concentration below standards by law with the various disturbances. Different from the traditional design method, the robust PID controller is designed based on the H∞ specifications in combination with a genetic algorithm (GA). The genetic algorithm is used to tune the optimized PID controller parameters constrained by H∞ specifications. The simulation results show that the closed-loop wastewater treatment control system satisfies given multiple H∞ specifications and has fast tracking ability and good ability to overcome the noise disturbance. The proposed idea also can be used to deal with many complex output feedback control problems.
{"title":"Robust PID controller design using genetic algorithm for wastewater treatment process","authors":"Xinghong Qiao, Fei Luo, Yuge Xu","doi":"10.1109/IMCEC.2016.7867378","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867378","url":null,"abstract":"A novel approach for H∞ robust PID synthesis is developed for wastewater treatment system. In operational terms, the simplification model is obtained by simplifying the Activated Sludge Model No.1 (ASM1). The main objective of this paper is to synthesize a robust PID control structure, which keep the substrate concentration and dissolved oxygen concentration below standards by law with the various disturbances. Different from the traditional design method, the robust PID controller is designed based on the H∞ specifications in combination with a genetic algorithm (GA). The genetic algorithm is used to tune the optimized PID controller parameters constrained by H∞ specifications. The simulation results show that the closed-loop wastewater treatment control system satisfies given multiple H∞ specifications and has fast tracking ability and good ability to overcome the noise disturbance. The proposed idea also can be used to deal with many complex output feedback control problems.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123870267","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867564
Zhiqiang Li, Kaizhong Chen, Hongchen Guo
Internet addiction is a serious social problem nowadays. People with internet addiction usually spend much time on line, which there is no effectively technical way to evaluate. We propose a time-online evaluating method based on net log. The method gathers adjacent timestamps of every account's network log into a cluster, which can be seen as a time period. The sum of all periods is the account's total time online. Besides, we apply parallel processing in the data analysis and cluster. The experiments on real datasets show that this method is effective for time online evaluation.
{"title":"A time online evaluation method over campus network log","authors":"Zhiqiang Li, Kaizhong Chen, Hongchen Guo","doi":"10.1109/IMCEC.2016.7867564","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867564","url":null,"abstract":"Internet addiction is a serious social problem nowadays. People with internet addiction usually spend much time on line, which there is no effectively technical way to evaluate. We propose a time-online evaluating method based on net log. The method gathers adjacent timestamps of every account's network log into a cluster, which can be seen as a time period. The sum of all periods is the account's total time online. Besides, we apply parallel processing in the data analysis and cluster. The experiments on real datasets show that this method is effective for time online evaluation.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121541719","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867562
Zhang Li, Lu Fei, Zhao Yong-yi
Internet of Vehicles, an emerging industry, is being gradually popularized and applied. This paper is to propose a new construction method to neural network ensembles that based on the key technology to multi-sensor data fusion of Internet of Vehicles system, which is an effective solution to the problems such as the information collection about vehicle traffic. Training a group of neural networks Independently, and then use discrete particle swarm optimization (PSO) algorithm and describe all possible neural network ensemble when the value of particles is 0 or 1 in multi-dimensional space. The estimated value to predict error of the network integration is expressed by correlation degree among individual networks that made up of integration, and it will be used as the fitness function during the optimization process. We will select the individual networks which has much differences among the parts that get involved in neural network ensemble.
{"title":"Based on the Particle Swarm Optimization_Neural Network integration algorithm in Internet of Vehicles application","authors":"Zhang Li, Lu Fei, Zhao Yong-yi","doi":"10.1109/IMCEC.2016.7867562","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867562","url":null,"abstract":"Internet of Vehicles, an emerging industry, is being gradually popularized and applied. This paper is to propose a new construction method to neural network ensembles that based on the key technology to multi-sensor data fusion of Internet of Vehicles system, which is an effective solution to the problems such as the information collection about vehicle traffic. Training a group of neural networks Independently, and then use discrete particle swarm optimization (PSO) algorithm and describe all possible neural network ensemble when the value of particles is 0 or 1 in multi-dimensional space. The estimated value to predict error of the network integration is expressed by correlation degree among individual networks that made up of integration, and it will be used as the fitness function during the optimization process. We will select the individual networks which has much differences among the parts that get involved in neural network ensemble.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125243318","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867312
Peng Yi, Cheng Yang, Chen Li, Yingya Zhang
With the development of Internet technology, online job-hunting plays an increasingly important role in job-searching. It is difficult for job hunters to solely rely on keywords retrieving to find positions which meet their needs. To solve this issue, we adopted item-based collaborative filtering algorithm for job recommendations. In this paper, we optimized the algorithm by combining position descriptions and resume information. Specifically, job preference prediction formula is optimized by historical delivery weight calculated by position descriptions and similar user weight calculated by resume information. The experiments tested on real data set have shown that our methods have a significant improvement on job recommendation results.
{"title":"A job recommendation method optimized by position descriptions and resume information","authors":"Peng Yi, Cheng Yang, Chen Li, Yingya Zhang","doi":"10.1109/IMCEC.2016.7867312","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867312","url":null,"abstract":"With the development of Internet technology, online job-hunting plays an increasingly important role in job-searching. It is difficult for job hunters to solely rely on keywords retrieving to find positions which meet their needs. To solve this issue, we adopted item-based collaborative filtering algorithm for job recommendations. In this paper, we optimized the algorithm by combining position descriptions and resume information. Specifically, job preference prediction formula is optimized by historical delivery weight calculated by position descriptions and similar user weight calculated by resume information. The experiments tested on real data set have shown that our methods have a significant improvement on job recommendation results.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123917114","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867404
Xiaoju Li, Long Ran
Access to the power system with different proportions and different locations, the impact of distributed photovoltaic power on the load characteristics in distribution network can not be ignored. Based on the establishment of typical IEEE 14 node distribution network, the impact of photovoltaic power generation system on composite load characteristics, with different capacity ratios, different locations, was studied. Matlab system simulation analysis showed that the distribution network load characteristics suffered the photovoltaic power generation system greatly with the increasing capacity ratios. Under different locations, the impact of photovoltaic power generation system on the distribution network is relevant with the location of common connection point (PCC) and size of the slip load. The more PCC nears the end of the distribution network and the smaller slip load, the greater comprehensive load characteristics suffers. At the same time, the influence of capacity is apparently greater than that of location, and plays a dominant role in the factors.
{"title":"Impact of photovoltaic generation on load characteristics in distribution network","authors":"Xiaoju Li, Long Ran","doi":"10.1109/IMCEC.2016.7867404","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867404","url":null,"abstract":"Access to the power system with different proportions and different locations, the impact of distributed photovoltaic power on the load characteristics in distribution network can not be ignored. Based on the establishment of typical IEEE 14 node distribution network, the impact of photovoltaic power generation system on composite load characteristics, with different capacity ratios, different locations, was studied. Matlab system simulation analysis showed that the distribution network load characteristics suffered the photovoltaic power generation system greatly with the increasing capacity ratios. Under different locations, the impact of photovoltaic power generation system on the distribution network is relevant with the location of common connection point (PCC) and size of the slip load. The more PCC nears the end of the distribution network and the smaller slip load, the greater comprehensive load characteristics suffers. At the same time, the influence of capacity is apparently greater than that of location, and plays a dominant role in the factors.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122654560","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}
Pub Date : 2016-10-01DOI: 10.1109/IMCEC.2016.7867316
Lin Zhou, Yan Yan, Xingbin Qin, Chan Yuan, D. Que, Lei Wang
Classification is the basis of electrocardiography (ECG) analysis. In the last decades, a large number of methods were proposed to deal with the classification of ECG beats. In this paper a kind of deep learning method is introduced into ECG beats classification. We create a classifier with stacked sparse autoencoder (SAE), and then combine the softmax regression with the SAE networks to consummate the classifier, from which we can get higher accuracy in the classification task. In the deep networks architecture, we use the stacked sparse autoencoder to get high-level features. Experimental results with the MIT-BIH ECG dataset confirmed that classifier build in this autoencoder based deep networks method perform better in the classical classification problem.
{"title":"Deep learning-based classification of massive electrocardiography data","authors":"Lin Zhou, Yan Yan, Xingbin Qin, Chan Yuan, D. Que, Lei Wang","doi":"10.1109/IMCEC.2016.7867316","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867316","url":null,"abstract":"Classification is the basis of electrocardiography (ECG) analysis. In the last decades, a large number of methods were proposed to deal with the classification of ECG beats. In this paper a kind of deep learning method is introduced into ECG beats classification. We create a classifier with stacked sparse autoencoder (SAE), and then combine the softmax regression with the SAE networks to consummate the classifier, from which we can get higher accuracy in the classification task. In the deep networks architecture, we use the stacked sparse autoencoder to get high-level features. Experimental results with the MIT-BIH ECG dataset confirmed that classifier build in this autoencoder based deep networks method perform better in the classical classification problem.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128669985","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}
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