Bendong Zhao, Shangfeng Chen, Junliang Liu, Huan-zhang Lu
{"title":"Classification of waveforms using unsupervised feature learning and artificial neural network","authors":"Bendong Zhao, Shangfeng Chen, Junliang Liu, Huan-zhang Lu","doi":"10.1109/IAEAC.2015.7428545","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428545","url":null,"abstract":"A novel method is proposed for the classification of waveforms, which takes full advantage of the local structures in time-domain waveforms. Specifically, the wave curves are divided into plenty of equal-length segments first. Then all of the segments are clustered and coded by using unsupervised feature learning methods. After that, the waveforms can be seen as a sequence of segment codes. Finally the waveforms are classified by means of a multi-layered perceptron (MLP) in which using the sequential codes as its input. Experimental results show that the waveforms are successfully classified by the proposed structure compared to the method that using MLP alone in terms of accuracy and efficiency.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"113 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":"116437205","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":"Identification of varieties of natural textile fiber based on Vis/NIR spectroscopy technology","authors":"Wu Guifang, M. Hai, P. Xin","doi":"10.1109/IAEAC.2015.7428621","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428621","url":null,"abstract":"A new method for discriminating the varieties of natural textile fiber based on visible/near infrared spectroscopy (Vis/NIRS) was developed. In order to achieve the rapid identification of the varieties of natural fiber, four kinds of fiber of cotton, flax, silk and cashmere were selected for analysis. Firstly, the spectra with wavelength 350-1800nm of each variety fiber were scanned by spectrometer, principal component analysis (PCA) method were used to analyze the characteristics of the pattern of Vis/NIR spectra. Principal component scores scatter plot (PCI PC2 PC3) of fiber indicated that the classification effect of four varieties of fibers. The former 6 principal components (PCs) were selected according with the quantity and size of PCs. The PCA classification model was optimized by using the least-squares support vector machines (LS-SVM) method. We use the 6 PCs extracted by PCA as the inputs of LS-SVM, PCA-LS-SVM model was built to achieve varieties validation as well as mathematical model building and optimization analysis. 180 samples (45 samples for each variety of fibers) of four varieties of fibers were used for calibration of PCA-LS-SVM model, and the other 60 samples (15 samples for each variety of fibers) were used for validation, the result of validation show that Vis/NIR spectroscopy technique combined with PCA-LS-SVM had a powerful classification capability. It provides a new method for identification of varieties of fiber rapidly and real-timely, so it has important significance for protecting the rights of consumers, ensuring the quality of textiles, and implementing rationalization production and transaction of textile materials and its production.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"98 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":"126086340","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":"Enhanced target extraction in strong clutter scene","authors":"Jialian Sheng, G. Jing, M. Xing","doi":"10.1109/IAEAC.2015.7428585","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428585","url":null,"abstract":"Clutter suppression is always problematic in synthetic aperture radar (SAR) imaging. Especially when clutter is strong, inappropriate threshold on image amplitude may lead to failure to completely separate the background and the region of interest (ROI). Therefore, this paper firstly presents an adaptive threshold estimation method from the view of coherence. To protect weak scatterers, neighbored points around the extracted centers are also preserved. With the strong sparsity of the ROI in the image, the resolution of the extracted target region is enhanced by the sparse signal processing technique. Experimental results on simulated and real data both confirm its practicability.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"55 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":"124354054","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 application of lingo software to solve dynamic programming problem in the field of environmental protection","authors":"Bao-You Liu, Nanxi Jin","doi":"10.1109/IAEAC.2015.7428619","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428619","url":null,"abstract":"Based on the practical problems in the field of environmental protection, this article analyzes and optimizes the sales and storage problems and resource allocation problems of two typical cases by the means of building the mathematical model of the dynamic programming and using lingo11 to solve it. The results show that the lingo11 can be used as a effective tool to solve the optimization problems in the field of environmental protection for its high computing speed and accuracy of the method. Also it is suitable for used in similar problems.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"64 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":"127739595","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 and selection of coefficient feature by curvelet transform for SAR images","authors":"Huang Shiqi, Su Peifeng","doi":"10.1109/IAEAC.2015.7428722","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428722","url":null,"abstract":"Synthetic aperture radar (SAR) imaging is very sensitive to direction, so if the information is obtained from multi-directions, it must be more accurate and more particular than that obtained from single direction. The Curvelet transform is a kind of multi-scale and multi-direction signal processing theory, and it is fit for SAR image decomposition. Moreover, it can extract each decomposed scale coefficient in light of demand. This paper mainly discusses the selection, reorganization and fusion of each scale coefficient for SAR image decomposed by Curvelet theory.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"50 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":"114910549","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":"Modeling and simulation of feed system of numerical control lathe based on MATLAB","authors":"Haiming Zheng, Changzhao Li","doi":"10.1109/IAEAC.2015.7428522","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428522","url":null,"abstract":"In the industry, CNC machine tools plays a irreplaceable role. It not only realizes the rapid industrial production, but also saves manpower and material resources. It is the symbol of modernization. As an important part of CNC machine tools, feed system plays a very important role on the processing process, It refer to the product's quality problems. According to the principle of mechanical dynamics, I establish a mathematical model of machine tool feed drive system and use Simulink(dynamic simulation tool) in MATLAB to construct the simulation model of the feed system of lathe. We contain the simulation curves of the system performance. Also I joined the space module analysis. These efforts offer effective foundation for the improvement of CNC machine tool.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"73 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":"132292681","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":"Three-dimensional imaging of spinning target based on distributed radar networks","authors":"Tao-yong Li, Xian-jiao Liang, Qun Zhang, Bi‐shuai Liang","doi":"10.1109/IAEAC.2015.7428555","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428555","url":null,"abstract":"Development of space technology and the increase of space activities lead to the increasing of the space targets. For the safety of space, imaging and recognition of space target will be beneficial to reduce the danger of space activities. In this paper, we analyze the characteristic parameters of the spinning target based on distributed radar networks, and propose an algorithm to get these parameters by using inverse Radon transform. We also propose an algorithm to get three-dimensional imaging of spinning target based on these parameters. The algorithm has verified by simulations.","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":"130741732","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":"Controller design and implementation of the transformation/manipulation system of a novel hybrid ground aerial robot","authors":"Maha Saeed, M. Fanni, Abdelfatah M. Mohamed","doi":"10.1109/IAEAC.2015.7428557","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428557","url":null,"abstract":"This paper presents the design and implementation of the control system for the transformation/manipulation system that is used in a new Hybrid Ground Aerial Robot (HGAR). The transformation mechanism is used to transform the robot from flying configuration to ground motion configuration and vice versa. The manipulator is attached to one of the four propeller arms to manipulate objects during ground motion. The controller is designed based on feedback linearization method. A simple algorithm is implemented on Arduino board for controlling the angle of the propeller arm with and without manipulator. The angle of the arm is controlled by propeller thrust. The angle of the arm is measured by inertial measurement unit (IMU). The manipulator is controlled by servomotors. The configuration of the manipulator is determined using the joint-angles data and fed to the propeller arm controller to estimate the compensated term. In addition, an integral term is added to the controller to introduce robustness against payload variation and parameters uncertainty. Experimental set up is built to apply the proposed controller on the system and test its accuracy. Finally, the experimental results showed the effectiveness and accuracy of the proposed controller.","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":"130819749","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 of delay estimation in acoustic source localization based on microphone array","authors":"Zhang Qinqin, Zhang Linghua","doi":"10.1109/IAEAC.2015.7428637","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428637","url":null,"abstract":"In order to solve the problem that the precision and robust of basic cross-correlation(BCC) method in time delay estimation is poor, an improved time delay estimation algorithm based on generalized cross correlation is put forward and simulated to study the performance of the algorithms from the aspects of anti - noise and anti - reverberation robustness. Then, combined with the microphone array structure, sound source localization based on time delay estimation is achieved. The simulation results show the improved method has high accuracy and small computation of the source location in the case of noise and reverberation, which can be used for sound source localization.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"64 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":"131396022","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}
Dai Jiyang, Yin Linfei, Wang Cunsong, Xiong Junqiang, Yang Bao-Jian
{"title":"Research on cooperative path planning based on one new search algorithm","authors":"Dai Jiyang, Yin Linfei, Wang Cunsong, Xiong Junqiang, Yang Bao-Jian","doi":"10.1109/IAEAC.2015.7428624","DOIUrl":"https://doi.org/10.1109/IAEAC.2015.7428624","url":null,"abstract":"For multi-aircraft formations attacking cooperatively on targets, a new optimal path search algorithm and time cooperative control method is proposed. Firstly, the Voronoi diagram is used to establish route model available for flight, according to the position of the threat points in the battlefield. Then, an optimal route search algorithm combined Dijkstra search algorithm with K optimization algorithm is put forward to solve the problem of the first K optimal paths. Furthermore, a time cooperative control method is presented to build multi-aircraft path planning system model and solve the problem of cooperative path planning for multiple aircrafts. Finally, the simulation results for two aircraft formations show that feasibility and effectiveness of the proposed approach.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"24 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":"131445036","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}