Liang Hao, Deng Jia-hao, Wang Xuan, Wang Yong, Luo Guo-hua
{"title":"Monopulse DOA estimation of two unresolved targets with SNR estimation","authors":"Liang Hao, Deng Jia-hao, Wang Xuan, Wang Yong, Luo Guo-hua","doi":"10.1109/IAEAC.2015.7428633","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428633","url":null,"abstract":"An improved method of signal to noise ratio (SNR) estimation is proposed in this paper to solve the unknown SNR when extracted the angle measurements for two unresolved targets in monopulse radar. A signal processor with high sampling rate is necessary to the target returns. Special samples are selected to estimate the SNR according to the detection results of two unresolved targets. The maximum likelihood (ML) angle extractor can be used for estimating the direction of arrival (DOA) of each target with this prior information on SNR. The performance of the method proposed in this paper is studied via computer simulation.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128780840","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 pedestrian evacuation flow based on different selection strategies","authors":"Wu Liu-ai, Fan Xiao-le","doi":"10.1109/IAEAC.2015.7428523","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428523","url":null,"abstract":"To improve the efficiency of pedestrian evacuation and investigate the pedestrian's selection strategy, that is the competitive strategy and the concessional strategy, a cellular automata (CA) model is presented for pedestrian evacuation flow considering the different selection strategies, in which the direction force parameter and the distance parameter are used to simulate the pedestrian's movement. In the condition of different system scales, exit widths and pedestrian densities, this paper analyses the selection strategy on the effect of pedestrian evacuation time. And through the numerical experiments comparing, it is shown that the selection strategy has significant effects on the pedestrian evacuation.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"12 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128672022","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}
Juan Huang, Yang Gao, Yongfeng Li, Junye Chen, Jun Jiang
{"title":"Algorithm research on motion area segmentation based on improved frame differences","authors":"Juan Huang, Yang Gao, Yongfeng Li, Junye Chen, Jun Jiang","doi":"10.1109/IAEAC.2015.7428740","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428740","url":null,"abstract":"Frame difference is most widely used in video detection, but the original frame difference is not accurate enough to segment the moving object in special scenes such as light changes suddenly or camera shakes slightly. In this paper, we propose a segmentation algorithm based on improved frame differences. In the algorithm, we first set the frame difference value k by the environment characteristics, and then we determine whether the image movement is a global movement by the dual-threshold. If the global movement is caused by the illumination variation, we calculate the changing rate of gray value to detect the moving object. If it is caused by the camera shaking, we find the main direction of the movement by comparing a point in the background with the eight neighborhood points in the current frame to detect the moving object. The simulation results show the effectiveness of the proposed algorithm.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129252026","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":"Smart grid time series big data processing system","authors":"Y. Wang, Jun Yuan, Xiuming Chen, Jianguo Bao","doi":"10.1109/IAEAC.2015.7428582","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428582","url":null,"abstract":"With the development of critical theories and technologies in Internet of things (IOT), more and more attentions have been focused on the IOT applications. Smart Grid is one of the typical IOT applications on which a huge number of sensors have been deployed to gather and generate time series data to make sense of the running states of the key devices. How to apply these data to make Smart Grid running secure and stable is a hot research topic. By considering the fact that Smart Grid is characterized by a huge number of devices, a huge amount of data and the high speed data generating, this paper presents an approach to store and process time series big data in Smart Grid based on HBase. Based on the method above, we built a processing system for time series big data in Smart Grid. The emphasis is a policy-driven method to make the time series data organized on demand. We deploy the HBase cluster to verify effectiveness of our work. Finally, we conclude and outlook the future research directions.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124669890","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":"Analysis on reason for high voltage silicon stack breakdown and device repaired","authors":"Hanmin Ye, Qianting Sun","doi":"10.1109/IAEAC.2015.7428521","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428521","url":null,"abstract":"This paper introduces the reason for the high voltage silicon stack broken down for the high voltage generator and the method of improvement is proposed. The machine operation shows that the method is correct.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129640005","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}
Hu Jianyao, Xu Huawei, H. Zhiyuan, Huang Linyi, Liu Qunxing
{"title":"Study on braking force distribution based on fuzzy control algorithm","authors":"Hu Jianyao, Xu Huawei, H. Zhiyuan, Huang Linyi, Liu Qunxing","doi":"10.1109/IAEAC.2015.7428732","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428732","url":null,"abstract":"One of the advantages of electric vehicle is its ability to regenerate braking energy compared with conventional motor vehicles. This is able to save the electric energy and extend the drive range of electric vehicle. However, on one hand, regeneration and usage of braking energy with a higher efficiency is still a topic to be studied. On the other hand, allocation of the general braking force between the normal mechanical and electric braking systems in EV seriously affects its safety. In this paper, the braking force distribution during regenerative braking processes of a battery electric bus is studied. Controlled by a fuzzy logic strategy, the regenerative braking energy model is developed, which is embedded in the entire vehicle model. With the theoretical model, the braking force distribution function has been calculated with two factors, vehicle velocity and battery state of charge (SoC). The strategy also takes the comfort requirements of the driver during braking into account. The simulation results in this paper show that in addition to properly distributing the braking force, the regenerative braking energy control strategy can save the energy consumption of the electric bus by 5.5%, 3.9% and 6.4% during China city bus driving cycle, New York bus driving cycle and JapeneselO-15 mode driving cycle, respectively.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130661588","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":"Trajectory tracking control of quadrotor based on global stability","authors":"Ming-dong Hou, Tian Jie","doi":"10.1109/IAEAC.2015.7428678","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428678","url":null,"abstract":"According to the characteristics of the quadrotor' mathematical model and the trajectory tracking control problem, a trajectory tracking control of global stability strategy is proposed in this paper. Based on its features, the model is divided into two parts: an underactuated subsystem and a fully actuated subsystem; sliding mode control method is applied to the design of the controller of the fully actuated subsystem. Based on the global asymptotic stability theorem of dynamic system, the inner loop of an underactuated subsystem is rearranged into a stable global Lipschitz closed-loop system. The outer loop is designed through sliding mode control method, and therefore enables a strictly stable double loop sliding-mode track control for the underactuated subsystem. Simulation results show that the proposed method simplifies the design process of controller and enables the quadrotor to track a trajectory rapidly.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124499053","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}
Ying Ji, Jianhui Wang, Shijie Yan, Wenzhong Gao, Hepeng Li
{"title":"Optimal microgrid energy management integrating intermittent renewable energy and stochastic load","authors":"Ying Ji, Jianhui Wang, Shijie Yan, Wenzhong Gao, Hepeng Li","doi":"10.1109/IAEAC.2015.7428570","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428570","url":null,"abstract":"In this paper, we focus on energy management of distributed generators (DGs) and energy storage system (ESS) in microgrids (MG) considering uncertainties in renewable energy and load demand. The MG energy management problem is formulated as a two-stage stochastic programming model based on optimization principle. Then, the optimization model is decomposed into a mixed integer quadratic programming problem by using discrete stochastic scenarios to approximate the continuous random variables. A Scenarios generation approach based on time-homogeneous Markov chain model is proposed to generate simulated time-series of renewable energy generation and load demand. Finally, the proposed stochastic programming model is tested in a typical LV network and solved by Matlab optimization toolbox. The simulation results show that the proposed stochastic programming model has a better performance to obtain robust scheduling solutions and lower the operating cost compared to the deterministic optimization modeling methods.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204580","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":"Hybrid Naïve Bayes K-nearest neighbor method implementation on speech emotion recognition","authors":"Seho Lee","doi":"10.1109/IAEAC.2015.7428573","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428573","url":null,"abstract":"Speech Emotion Recognition technique is incredible in that it can open a way of communication between human and computer. The applications vary from educational software, psychiatric diagnosis, and interrogation to intelligent toys. It has been a long way for researchers who dedicated to search for the best models for speech emotion recognition. This paper proposes a novel hybrid model that combines the K-Nearest Neighbor (KNN) model and the Naïve Bayes (NB) classifier: a model which was inspired from the hybrid model of Support Vector Machine (SVM) and K-Nearest Neighbor method. The implementation of NB-KNN overcomes risks of SVM-KNN model and outperforms the original models that it is composed of.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176014","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":"Transformer economic operation control system based on zero-crossing switching","authors":"Sundong He, Qing Li, Renyuan Tong, Ge Shi","doi":"10.1109/IAEAC.2015.7428605","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428605","url":null,"abstract":"The active power loss and reactive power loss nonlinear varied with the load, so the loss was controllable. This study built simulation experiment platform, subjects was two single-phase double winding transformer, based on method of transformer economic operation critical section. It introduced hardware and software design. Hardware circuits included electric parameters measurement circuit, AC contactor switching time measurement circuit, voltage or current zero-crossing point capture circuit and so on. Then the zero-crossing switching was put forward to reduce the transformer switching operation safety hazard. The experimental data shows load power and voltage current zero-crossing are detected exactly, AC contactor operation time was discrete, but declines with the supply voltage increasing, changes linearly. The accuracy rate, transformer economic operation and flexible switching with voltage¤t zero-crossing, is 94.3%.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115938222","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}