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2016 3rd international conference on Engineering Technology and Application（ICETA 2016）

作者： Xuexia Zhong Lin Mei Jian Wang Jie Shao Ying He Cyber Physical System R&D Center The Third Research Institute of Ministry of Public Security Shanghai International Technology & Trade United Co. Ltd School of Communication and Information Engineering Fudan University

The aim of single image super-resolution(SISR) is to find a non-linear mapping from the low to high resolution training image samples and reconstruct a high-resolution(HR) image from a low-resolution(LR) image using the prior *** a powerful tool in solving high-level computer vision problems,deep learning can also be used to solve the low-level vision problem,such as *** exploring the architecture of convolutional neural network(CNN),we put forward a robust SISR algorithm based on *** to the state-of-art SISR methods,the proposed SISR algorithm obtains the best SR performance.

关键词： single image super-resolution(SISR) convolutional neural networks deep learning

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Spatial double physical pendulum with axial excitation: computer simulation and experimental set-up

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international Journal of Dynamics and Control 2015年第1期3卷 1-8页

作者： Ludwicki, Michal Awrejcewicz, Jan Kudra, Grzegorz Department of Automation Biomechanics and Mechatronics Lodz University of Technology Lodz Poland

Physical and mathematical model of a three-dimensional double physical pendulum being coupled by two universal joints is studied. Upper joint of this pendulum is periodically rotated in its axial direction. Damping forces and torques inside joints as well as an influence of the gravitational field and damping forces and torques inside joints are taken into account during derivation of the ODEs of this mechanical system. The work consists of mathematical modelling, computer simulation and parts of the experimental analysis to confirm the numerical simulations. The experimental setup realizes kinetic excitation by an non-constant periodic torque of servomotor, controlled by the computer. Four incremental encoders are mounted on pendulum joints, so the angles of rotation of the pendulum are measured in real-time and analysed by an originally developed acquisition software. Future plans of the mathematical and experimental model are also discussed. Presented exemplary results showed a number of non-linear effects, including chaos, quasi-periodic and periodic dynamics. © 2014, The Author(s).

关键词： Pendulums

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Improvement for LEACH Algorithm in Wireless Sensor Network

Improvement for LEACH Algorithm in Wireless Sensor Network

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The Second international conference of Young computer Scientists, Engineers and Educators,ICYCSEE 2016

作者： Shiying Xia Minsheng Tan Zhiguo Zhao Ting Xiang School of Computer Science and Technology University of South China

According to the energy bottleneck of the wireless sensor network,the LEACH algorithm is improved in this paper, in the LEACH algorithm, it maybe that the cluster head nodes are far from the base station, and cluster head node has non-uniform distribution, in this case, nodes soon died after consuming energy, so the focus from three aspects of the optimal number of the cluster head and uniform distribution and many jump communication to improve, the improved algorithm through the simulation tests show that network node energy has been obviously saved, at the same time the lifecycle of the system is also effectively extension. In the application of the wireless sensor, we should always hold the principle of energy-first, therefore the LEACH which is a hierarchical routing protocol can save energy has played a crucial role, but the optimal number of the cluster head and uniform distribution can't be archived because of the change of the location of the cluster head nodes. In addition, when the cluster head far away from center sink node communicate with center sink node, the cluster head will exhaust energy quickly to die, that may affect lifecycle of whole of monitoring network and lead to worse expansibility. For some problems of the LEACH algorithm, the LEACH algorithm is improved in this paper from three aspects of the optimal number of the cluster head and uniform distribution and many jump communication, the improved algorithm through the simulation tests show that network node energy has been obviously saved.

关键词： LEACH Routing strategy Effective path Wireless sensor network

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Virtual Resource Allocation and Composition for Data Stream Processing of Online Auditing in Cloud Computing 15

Virtual Resource Allocation and Composition for Data Stream ...

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IEEE international conference on computer and Information

作者： Wang, Lei Li, Tuo Beijing Informat Sci & Technol Univ Sch Informat Management Beijing 100192 Peoples R China Miami Univ Coll Engn & Comp Oxford OH 45056 USA

ISBN: (纸本)9781509001545

As an effective service mode, online auditing which serves the highest state audit institution is emerging as an important tool for national governance. However, as a crucial part during online auditing workflow, data stream processing has become one of the most important problems that restrains the development of online auditing. To address this problem, our study are primarily focusing on three research contents: Firstly, a hierarchal online auditing cloud framework applying to data stream processing based on SON (service Overlay Network, SON) is proposed in this paper. Secondly, an efficient virtual resource scheduling and composition strategy called LOSPS (Local Optimal service Path Selection, LOSPS) is also proposed, which adequately taking consideration of demands for underlying resources that satisfies upper application. Thirdly, a dynamic resource selection and composition algorithm in view of multiple attribute decision making and local optimization, which greatly supports the strategy we proposed above, is further presented. At last, various classic resource allocation algorithms including ours are discussed and their performances are compared in a simulated online auditing scenario. Simulation results show that the virtual resource scheduling and composition scheme in LOSPS outperforms the classic service composition algorithms either in static or in dynamic environments. The research findings can greatly improve the reliability and availability of online auditing via adopting the effective virtual resource allocation and composition way we proposed.

关键词： online auditing cloud computing data stream processing virtual resource allocation service composition

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Fuzzy Fine Tuning Therapies for Intelligence of High Speed Electronic Packaging Equipment

Fuzzy Fine Tuning Therapies for Intelligence of High Speed E...

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2016 international conference on Electrical Engineering, Mechanical Engineering and Automation (ICEEMEA2016)

作者： He Yunbo Hu Yongshan Chen Xin Gao Jian Yang Zhijun Chen Yun Tang Hui Ao Yinhui Zhang Yu Guangdong Provincial Key Lab. of Computer Integrated Manufacturing Systems Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education School of Electromechanical Engineering Guangdong University of Technology

It's always difficult to satisfy both strict requirements of dynamic performance and settling performance of high-precision and high-acceleration point-to-point motions on electronic packaging equipment, i.e., Die bonders, Wire bonders, Flip-chip bonders, Wafer bumping machines, and so on. Focusing on this difficulty, Fuzzy logic is promoted in this paper to fine tune feed forward coefficient parameters of motion systems on packaging equipment to satisfy multiple targets of dynamic and settling performance requirements. This intelligent fine tuning approach, with achievable multiple motion targets, provides a therapy to automate and optimize motion system performance on packaging equipment, help on development and mass production of semiconductor packaging equipment, and improve machine intelligence.

关键词： Dynamic Performance Settling Performance Electronic Packaging Equipment Fuzzy Logic Fine Tuning Machine Intelligence

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HawkEyes plagiarism detection system

HawkEyes plagiarism detection system

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international conference of Young computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Kong, Leilei Li, Jie Zhao, Feng Qi, Haoliang Han, Zhongyuan Han, Yong Lu, Zhimao School of Computer Science and Technology Heilongjiang Institute of Technology Harbin China College of Information and Communication Engineering Harbin Engineering University Harbin China School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9783662462478

The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti- plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Big data

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A New Method for Control-plane Congestion Control in Chip-scale Optical Networks

A New Method for Control-plane Congestion Control in Chip-sc...

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2016 3rd international conference on Materials Engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Shi Xu Renfa Li Quanyou Feng Wenhua Dou Department of Information Science and Engineering Hunan University School of Computer Science National University of Defense Technology

ISBN: (纸本)9781510821965

Recently, various optical networks have been proposed for chip-scale communication on large-scale many-core chips, including optical burst-switching(OBS). The overall throughput of OBS network is dually constrained by congestion and loss in both the data-plane(i.e., burst contention) and the control-plane(i.e., header packet losses). While previous studies mainly focus on maximizing data-plane throughput, little work has been done on the control-plane congestion problem. In chip-scale OBS, massive fine-grained data bursts, stringent transmission delay budget and moderate network operation frequency have actually constrained the electronic header processing capability, leading to serious network congestion. This paper proposes a new approach based on ingress regulation to overcome the control-plane congestion problem. In our scheme, before being injected, every concurrent packet flow is globally regulated and coordinated so that the aggregated flows do not exceed the header processing capacity of routing nodes, leading to the alleviation of control-plane congestion. We use real application traces to evaluate our method. Simulation results validate that the proposed approach can effectively minimize the control-plane congestion and improve system performance in terms of transmission delay and burst loss rate.

关键词： Many-core Optical On-chip Network Control Congestion

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HEp-2 cells classification via novel object graph based feature and random forest

HEp-2 cells classification via novel object graph based feat...

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2015 IET international conference on Biomedical Image and Signal Processing, ICBISP 2015

作者： Liu, Jingxin Shen, Linlin Qiu, Guoping Shu, Jie University of Nottingham Ningbo China China ShenZhen University China North China University of Technology China

ISBN: (纸本)9781785610448

Human Epithelial type 2 (HEp-2) cells are the most common substrates for anti-nuclear antibodies detection. Traditional manual diagnosis heavily depends on the experience of histopathologists, which is time consuming and subject to subjective mistakes. With the recent progress of digital scanners and dramatic development in computer vision techniques, computer-aided diagnosis has now become achievable. In this paper a novel automatic system is proposed to classify the HEp- 2 cell images into six categories. Along with a set of local gradient based textural descriptors, we introduce a novel objectbased method to decompose the binary image into primitive objects and represent them with a set of morphological features. Random forest is then applied for classification. The advantages of this system are as following: (1) robustness against the changes of intensity and rotation, (2) more discriminative information compared to normal morphological descriptors. We evaluate the proposed approach using the publicly available ICPR 2012 datasets. The experimental results show that the proposed method achieves comparable performance with the state-of-the-art methods.

关键词： computer aided diagnosis

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An Online Hybrid Brain-computer Interface Combining Multiple Physiological Signals for Webpage Browse 37

An Online Hybrid Brain-Computer Interface Combining Multiple...

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37th Annual international conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Chen, Long Wang, Zhongpeng He, Feng Yang, Jiajia Qi, Hongzhi Zhou, Peng Wan, Baikun Ming, Dong Tianjin Univ Tianjin 300072 Peoples R China

ISBN: (纸本)9781424492701

The hybrid brain computer interface (hBCI) could provide higher information transfer rate than did the classical BCIs. It included more than one brain-computer or human-machine interact paradigms, such as the combination of the P300 and SSVEP paradigms. Research firstly constructed independent subsystems of three different paradigms and tested each of them with online experiments. Then we constructed a serial hybrid BCI system which combined these paradigms to achieve the functions of typing letters, moving and clicking cursor, and switching among them for the purpose of browsing webpages. Five subjects were involved in this study. They all successfully realized these functions in the online tests. The subjects could achieve an accuracy above 90% after training, which met the requirement in operating the system efficiently. The results demonstrated that it was an efficient system capable of robustness, which provided an approach for the clinic application.

关键词： hBCI SSVEP Webpage Browse information transfer rate Web pages Brain-computer Interfaces computer interfaces Browse HYBRID Hybrid electric vehicles

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Robust object tracking based on mean-shift embedded frames differencing 6

Robust object tracking based on mean-shift embedded frames d...

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6th international Multi-conference on Complexity, Informatics and Cybernetics, IMCIC 2015, Jointly with the 6th international conference on Society and Information Technologies, ICSIT 2015

作者： He, Pengcheng Li, Hongbo Du, Junping Yin, Jingcao Zuo, Min Beijing University of Posts and Telecommunications Beijing100876 China Department of Computer Science and Technology Tsinghua University Beijing100084 China Network Center School of Comouter and Information Engineering Beijing Technology And Business University Beijing102488 China

ISBN: (纸本)9781941763162

This paper is devoted to address the robust tracking problem, where an automatic object detecting and tracking algorithm based on consecutive frames differencing and the improved mean-shift is presented. The moving target is obtained by differencing the previous two frames in the video sequence. Then, by differencing in the framework of mean-shift tracking, the size of box is updated and the position of target is corrected. It has been shown that the proposed method inherits the advantages of the two algorithms, and also make up for the disadvantages. Experimental results demonstrate that the proposed method reduces system’s sensitivity to target’s moving speed and the color of background, and more importantly shows higher accuracy and more stability. Keywords: Moving object tracking;computer vision;Frame Differencing;Mean-shift algorithm.

关键词： Object detection

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