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March 30,2015
Volume 8,Issue 6
Pages -
Subject Area:Image Processing,Autocontrol Technology,Communication Network Technology,Fibre Optical Communication Technology

Title: A blind motion deblurring algorithm based on edge and texture information

Authors: SUN Yuheng, HU Shaohai, LIU Shuaiqi
PP: 626-634
Abstract: A blind motion deblurring algorithm based on edge and texture information is proposed, which makes full use of nature image priors. It contains two phases: kernel estimation and image restoration. In the procedure of kernel estimation, bilateral filter and shock filter are used for predicting clear edge from the blurred image, which conducts global image restoration. Furthermore, multi-scale scheme is applied to solve big blurred kernel problem. In the step of image restoration, split Bregman iteration method based on edge and texture information is utilized to restore clear image. Experimental results show that the proposed algorithm can effectively solve blind motion blurring problem. The restoration result can not only reserve more details, but also suppress ringing effects effectively and is robust to noise.
Keywords: image processing; motion blurring; blind deblurring; edge information; texture information; split Bregman iteration method

Title: A novel sliding mode controller design of space manipulator for backlash compensation

Authors: HEShiwen, JIAQingxuan, CHEN Gang
PP: 614-625
Abstract: In order to improve the operating performance, a novel control method to compensate the backlash of space manipulator nonlinearity was proposed. Considering the normal elastic joint model of space manipulator with backlash, nonlinearity of backlash was treated as torque disturbance, which entered the system at the location of backlash. Then a sliding mode controller based on disturbance observer (DOB) was conducted to eliminate the nonlinearity disturbance. To solve the problems of couple and strong nonlinearity of elastic joint, a decoupling method based on feedback linearization in differential geometry was used to handle the control system. Eventually, the backlash effect was eliminated and compensated using the proposed method, which was verified by the simulation results. The results indicate that not only the novel method, DOB combined with sliding mode, can improve the tracking precision, but obviously reduce the chattering and improve tracking precision compared with single sliding mode control.
Keywords: robot control; elastic joint model; disturbance observer; backlash; sliding model control

Title: Measurement method for the thickness of quartz pendulous reed based on chromatic confocal sensor

Authors: LIU Xueyuan，ZHONG Zhi
PP: 610-613
Abstract: In order to improve the accuracy and efficiency of the measurement of quartz pendulous reed thickness, this paper proposed a non-contact measurement method using chromatic confocal sensor and analyzed the method. Experimental results show that the proposed method has good stability and high measurement accuracy, which can achieve precise non-contact measurement of quartz pendulous reed thickness.
Keywords: optoelectronics and laser technology; chromatic confocal; quartz pendulous reed; thickness measurement

Title: PLC cooperative controller based on ARM with embedded technology

Authors: GUO Ben, LI Hanying, SUN Zhejian, WANG Tiankui,WANG Youli,LIANG Jie,ZHU Huiping
PP: 602-609
Abstract: To conquer the disadvantages of bad compatibility and extensibility and low performance cost ratio of traditionalprogrammable logic controller (PLC), and to make a breakthrough in the encrypted PLC program and the difficulty of secondary development in the new tobacco equipment, a new cooperative controller based on ARM as virtual PLC with embedded technology was designed. This cooperative controller could assist traditional PLC to complete the automation control. By the design of hardware and software, embedded soft-PLC assisted traditional PLC to control one equipment togetherafter function customization on Linux system was realized. The PLC cooperative controller based on ARM with embedded technology has overcome the shortcomings of traditional PLC,and had some advantages such as open system architecture, easy development, which can meet the requirements of modern cigarette production automation.
Keywords: autocontrol technology; cooperative controller;ARM; Linux system; embedded programmable logic controller

Title: Pattern synthesis of antennas array based on modified immune algorithm

Authors: DONG Jian, QIN Xiaofang
PP: 595-601
Abstract: In order to overcome the drawbacks of the basic immune algorithm (IA), such as prematurity and easily trapping in local optimum, simulated annealing immune algorithm (SAIA) is proposed. The introduction of annealing selecting operator can overcome defects of the traditional characteristics of IA by selectively accepting deteriorative solutions. Experiments show that the modified algorithm can achieve lower sidelobe level and null depth than the basic IA, which proves the superiority of the modified IA.
Keywords: microwave technology; antenna array; annealing-immune algorithm; pattern synthesis; immune algorithm

Title: Logistics system project design for the tobacco strips based on RFID technology

Authors: LOU Hui, FENG Feng, LI Mingxing, SHOU Yueyong, LOU Weidong
PP: 585-594
Abstract: This paper teases out the advantage of radio frequency identification(RFID) technology applied in tobacco strips logistics through analysis on the characteristics of RFID technology and modern tobacco logistics, and designs logistics system project for tobacco strips based on RFID technology to form a production pattern with pasting RFID electronic label on-line. At last, this paper proves that the RFID information transferring of tobacco strips logistics is efficient, accurate and traceable.
Keywords: communication and information system; tobacco strip logistics; electronic label; information transfer

Title: Study on algorithm for backbone routing optimization in indoor distribution system design

Authors: XIE Ting，ZHANG Qingyi
PP: 573-584
Abstract: We introduced the common method of backbone routing optimization in wireless indoor distribution system design software and pointed out that the problems of the method.To improve the quality of design and avoid blind construction, this paper proposed a new algorithm of automatic backbone routing optimization in which the system can choose the optimal device combinations and adjust the source power value automatically.By achieving on the second development of AutoCAD software, the algorithm was verified to be reasonable, feasible and worth promotion.
Keywords: communication network technology; indoor coverage; wireless indoor distribution; automatic backbone routing optimization; optimal device combination

Title: A feature selection method of network traffic classification based on C4.5 decision tree

Authors: JIANG Yu, HUA Jun, HU Jing, SONG Tiecheng, LIU Shidong, GUO Jinghong
PP: 564-572
Abstract: This paper analysed the feature selection and its application in network traffic classification technology, and then proposed an application of feature selection which fitted C4.5 decision tree algorithm verified using the Moore dataset. The results show thatthe proposed method can reduce the dimension of features and decrease modeling and classification time without affecting the classification accuracy.
Keywords: communication network technology; feature selection; C4.5 algorithm; modeling time

Title: Application-aware software defined LOBS-over-WSON network

Authors: MAI Songtao，ZHANGDongxu，GUOHongxiang
PP: 557-563
Abstract: This paper presents a novel application-aware all-optical switching network architecture in which the labeled optical burst switching (LOBS) nodes at the edge are interconnected by an underlying wavelength switched optical network (WSON). The OpenFlow based control plane is extended to enable application-aware burst assembly, wavelength assignment and burst contention resolusion. A network prototype is successfully demonstrated to verify its overall feasibility.
Keywords: fiber optical communication technology;OpenFlow; wavelength switched optical network; optical burst switching

Title: A new fourth-order of Hamming window design used for FIR filter

Authors: HE Xiaoshuang, LI Yamei, LI Yuedong
PP: 549-556
Abstract: The article put forward a new improved fourth-order Hamming window design based on fourth-order homogeneouslineartheory.It wasa linear combination of trigonometric function sequence with thenormalization of conditions for linear amplitude to obtain the fourth-order window function with a new type adjustable parameter, then a new algorithm to modifythedesign precision of the filter was obtained for meetingthe requirement of stringent filter conditions.Finally, a comparison analysis and calculation for this design using Matlab software proved the value of the new fourth-order Hamming window design.
Keywords: information processing technology; finite impulse response digital filte; a new fourth-order of Hamming window design; fourth-order homogeneous linear theory; design precision

Title: Hamming code specification analysis based on binary tree structure

Authors: WU Qu, LÜ Bo, WANG Lei, BAI Jianlong
PP: 540-548
Abstract: The principle basis of Hamming coding and checking which can detect and correct single error is derived based on binary tree structure. Hamming code tree is constructed which is embodiment of the principle. It is logical to explain linear-block Hamming coding and checking specifications by constructing nonlinear structural Hamming tree,which can present certain principle basis for study on history and application of Hamming code.
Keywords: information processing technology; binary tree; Hamming code; parity bit; Hamming code tree

Title: Lung nodule detection method based on meanshift and graphcut

Authors: BAI Bing，PEI Xiaomin
PP: 534-539
Abstract: Automatic lung nodule detection is the key and difficult point in computer aided diagnosis. A method for automatic lung nodule detection is proposed based on meanshift and graph cut. Firstly, we use meanshift to smoothly filter the image and filter out noise in complicated background. Secondly, we use region-based graph cut to achieve network segmentation, and achieve lung segmentation. Afterward, we locate lung parenchyma based on regulation, select region of interesting (ROI) in lung parenchyma as suspected pulmonary nodule, detect attached nodules by contour tracking and convex hull. Finally, we quantize and detect lung nodules according to geometric morphology. Experimental results show that, the proposed algorithm is faster and the detection rate meets the requirement of computer aided diagnosis.This method can better detect isolation nodules, low contrast nodules and nodules which adhere to lung wall.
Keywords: information processing technology; lung nodule; meanshift; graphcut

Title: A review on brain-computer interfaces based onelectrocorticographicsignals

Authors: QI Yu，WANG Yueming
PP: 518-533
Abstract: This paper surveys the background and development of brain-computer interfaces using electrocorticographic signals, discusses key issues on paradigm design, signal recording/processing methods and pattern recognition. In the recent years, electrocorticographic brain-computer interfaces has developed rapidly with remarkable achievements, and its ability in neural decoding has improved progressively. This technology is promising to bring new breakthroughs to motor function reconstruction or rehabilitation, human-computer interaction and other fields, and has high importance in both research and applications.
Keywords: information processing technology; brain-computer interface; review; electrocorticographic

Title: Review on deep learning

Authors: WANG Lei，ZHANG Baochang
PP: 510-517
Abstract: Deep learning, which is an emerging technology of machine learning field, has brought vitality and vigor to artificial intelligence and related fields. Firstly, this paper gives the detailed elaboration of deep learning about importance, concept and characters. Then we illustrate the value and significance of deep learning. Secondly, it describes two kinds of typical deep learning models which are relatively mature at present in detail: convolutional neural networks (CNNs) and sparse auto-encoder network. We also summarize the latest application of them. Thirdly, we introduce two deep learning models which relatively have the potential and practical significance: multilayer kernel machines (MKMs) and deep spatio-temporal inference network (DeSTIN),which inject fresh energy to deep learning model development. At last, it concludes the existing shortcomings and summarizes the development trend of deep learning model.
Keywords: information processing technology; deep learning; review; neural network; network structure; model comparison

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