{"title":"Wind energy conversion systems nonlinear tracking using finite-horizon SDRE","authors":"Ahmed Khamis","doi":"10.1109/IAEAC.2015.7428641","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428641","url":null,"abstract":"This research is devoted in the implementation of control system for a nonlinear Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). In which a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is used. The idea of the proposed technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. The proposed technique is effective for a wide range of operating points. Simulation results are given to illustrate the effectiveness of the proposed technique.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"46 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":"127486729","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}
X. Yang, Minglei Hou, Jianming Wang, Xiaoliang Fan
{"title":"Job shop scheduling based on genetic algorithm using Matlab","authors":"X. Yang, Minglei Hou, Jianming Wang, Xiaoliang Fan","doi":"10.1109/IAEAC.2015.7428660","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428660","url":null,"abstract":"This paper briefly introduces the principle and characteristics of genetic algorithm, as well as the basic operation and the solving steps. The fitness function was built based on the objective function. The operator algorithms of replication, crossover and mutation were designed. The flexible job shop scheduling is optimized by designing the program based on MATLAB using the genetic algorithm. The genetic algorithm in this paper is tested on instances taken from the literature and compared with their results. The computation results show that the genetic algorithm referred in this paper is feasible and effective.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"35 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":"130077053","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 fault diagnosis expert system based on BP neural network","authors":"Rong Hua, Chen Qiu","doi":"10.1109/IAEAC.2015.7428684","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428684","url":null,"abstract":"This paper summarizes the features and principles of artificial neural network, and problems existing in the traditional expert system. Then it introduces the structural components and advantages of fault diagnosis system which combined with artificial neural network and expert system. Finally it elaborates the basic principle and implementation process of fault diagnosis expert system based on BP neural network.","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":"130083291","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 general nonlinear kinematic model for tape winding and its calibration","authors":"Guangyu Liu, Jing Wang, Gang Ji","doi":"10.1109/IAEAC.2015.7428705","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428705","url":null,"abstract":"A general mathematical model is derived for the nonlinear kinematics of tape winding according to the principles of kinematics and the features of nonlinear geometries. Tape winding is a dynamical process that a tape wraps some wires in a spiral manner, which is used ubiquitously in modern industries such as aerospace, marine, automobile, and house-hold electronics. It is desirable to derive the mathematical formulae associated with the kinematics of tape winding in order to examine the specifications of wrapping products. The nonlinear mathematical relationship of time varying variables is identified through the simultaneous equations of kinematic equations and geometrical equations. It shows that the key specification of wrapping is determined by two key variables: translational velocity and angular velocity of winding. To verify the theory, we perform some experiments and extract these parameters from video images via image processing tools. The experimental results agree with the proposed theory. Therefore, the model is a proposing tool to train workers or design machines in the tape winding industries.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"8 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":"132303937","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":"Overview of software dependability computing techniques from instruction set architecture's viewpoint","authors":"Yu Wang, Liquan Xiao, Chao Peng","doi":"10.1109/IAEAC.2015.7428531","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428531","url":null,"abstract":"The dependability of computing system is a major concern of academia and industry. In the post-silicon era, it is almost impossible to develop fully fault-tolerant hardware, while maintaining high dependability, low power and high performance. Thus, software dependability computing techniques are preferred to complement the hardware's dependability inadequacy. Cross-layer approach, where language, compiler, operating system, instruction set architecture (ISA), circuit, and device cooperates with each other, promises low cost dependability solutions compared to a single-layer solution. As ISA bridges the hardware and software, this paper surveys the software dependability techniques from ISA's viewpoint, including dependability-oriented instruction set design, analytical vulnerability model and compiler techniques to enhance dependability. In conclusion, this paper calls for further ISA design and compiler-based research work targeting dependability.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"19 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":"126424220","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}
Yu-fei Sun, R. Tang, S. Qian, C. Yu, Yunkai Shi, Weiyu Yu
{"title":"Scene depth information based image saliency detection","authors":"Yu-fei Sun, R. Tang, S. Qian, C. Yu, Yunkai Shi, Weiyu Yu","doi":"10.1109/IAEAC.2015.7428553","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428553","url":null,"abstract":"Image saliency detection counts much in image processing and computer vision. Basic features like color, texture and contrast, have been adopted in the construction of saliency map. However, given a complex image, high-level features should be taken into consideration. In general, among the objects with different spatial location, humans tend to focus more on the front-most one. Hence in this paper, a novel method which is combined with scene depth information of objects in an image to detect saliency is proposed. Through this method, the front objects can be distinguished from disturbing background. Besides, we do some improvement to the existing method as well. Experimental results demonstrate that our proposed approach is more precise and effective compared with the original ones.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"136 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":"122748258","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 implement of real-time fusion of infrared and visible light video images based on OpenCV","authors":"Hua Xu, Y. Qian, Xiaoming Hu, Yujing Wu","doi":"10.1109/IAEAC.2015.7428687","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428687","url":null,"abstract":"The real-time fusion of multi-source images is a problem which is widely concerned but is hard to handle with because of the effectiveness and complexity of registration and fusion algorithms. In this paper, a matching rule based on image's ROI and a fusion rule based on LP transform is discussed to each frame of the video. To the top level image, the rule based on similarity judgment through histogram calculation and weighted image fusion is used; to the other levels, the gray values in fused image depend on the comparison results of two gradient values in source images. The fused images are colored according to different gray levels at last. In order to verify the effectiveness of algorithms, both visual effects and quantitative indicators are referred. The comparison results demonstrate that the adopted algorithms can achieve a satisfying result in all experimental images and thus can be applied as a real-time fusion way in practice.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"31 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":"126558254","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 optimal fractional-order PID controllers using particle swarm optimization algorithm for DC motor system","authors":"Wang Lin, Zhong Chongquan","doi":"10.1109/IAEAC.2015.7428542","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428542","url":null,"abstract":"Based on the fact that the inductor and the capacitor are fractional in nature, the fractional order model of the DC motor is proposed. Aiming at the problem of fractional-order PID controller parameters tuning, particle swarm optimization (PSO) algorithm is adopted to tune the parameter of the fractional-order PID controller (FOPID). The fractional order differ-integral operator is implemented by using the method of Oustloup. Finally, according to the same criteria, two controllers are designed respectively for the fractional-order model and the traditional integer-order one. From the comparative experiment of the two PID controllers, it is found that in terms of accuracy, the proposed fractional-order model is superior to the traditional integer-order one in describing the DC motor system. The simulation results show that the PSO-FOPID controller has high accuracy and fast convergence, and the designed controller can meet the performance requirements of the default, and the effectiveness of the method is verified.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"19 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":"114200574","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}
Wen Yue, Li Cheng, Fan Shang-chun, Kan Bao-xi, Wang Chao
{"title":"Design of a high-sensitivity micromechanical resonant accelerometer with a two-stage microlever","authors":"Wen Yue, Li Cheng, Fan Shang-chun, Kan Bao-xi, Wang Chao","doi":"10.1109/IAEAC.2015.7428718","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428718","url":null,"abstract":"A novel micromechanical silicon resonant accelerometer with a two-stage microlever mechanism and dual-proof mass architecture was presented to achieve a higher sensitivity and stability. According to the mechanical model of the two-stage microlever, the ANSYS simulations were performed to analyze the effects of structural parameters, including lever structure dimensions and the ratio of lever power arm to lever resisting arm, on the scale factor and the operating modal frequency of accelerometer. Furthermore, the dual-proofmass architecture effectively removed the \"blind zone\" resulted from a \"lock-in\" phenomenon at the crossing frequency. In consideration of the tradeoff of the acceleration sensitivity and the operating modal frequency of 1.2 kHz, the designed accelerometer achieved a sensitivity of 430 Hz/g and a linear accuracy of 5%o with a nominal resonant frequency of 22482 Hz in the range of±30 g.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"74 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":"115945581","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}
Kun Qian, Yinshan Yu, Donghua Wang, Xiaolei Yu, Zhimin Zhao
{"title":"Design for two-dimensional barcode dynamic recognition system in the environment of large-scale logistics","authors":"Kun Qian, Yinshan Yu, Donghua Wang, Xiaolei Yu, Zhimin Zhao","doi":"10.1109/IAEAC.2015.7428682","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428682","url":null,"abstract":"Two-dimensional (2-D) barcode, which takes advantage of codes in both horizontal and vertical directions to carry information, is developed from the traditional one-dimensional (1-D) barcode. In this paper, based on the requirement of large-scale logistics environment, a 2-D barcode dynamic recognition system is developed which is capable of detecting and reading 2-D barcodes in motion. To evaluate and recognize 2-D barcodes in motion, the relation function of digital image gray value and physical reflectance is basically established. Furthermore, for practical purpose, a 2-D barcode positioning software is built to rotate 2-D barcodes in images. Besides, the symbol contrast and the modulation ratio of a single QR code are calculated. This paper provides a basic effective way to acquire the quality of barcode in images.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"96 46 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":"116599332","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}