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Hoisting tech.ique Simulation Based on Physical Engine for Launch Site

Hoisting Technique Simulation Based on Physical Engine for L...

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Na Chen Pengxiang Yi Xiu Luo Liu Feng Wu Weiqing Li School of Computer Science and Engineering Nanjing University of Sci.& Tech. Beijing Special Engineering Design and Research Institute

Hoisting tech.ique plays an important role of spaceflight test and launch. Simulation of hoisting tech.ique can promote effectivity and safety. Based on finite automata, seven key steps of hoisting tech.ique are analyzed. Double-hook erecting process is designed as a key step, and analyzed the force of the load. The state transition diagram is designed to describe the double-hook erecting. Using ODE as a physics engine, the double-hook erecting is simulated by rigid body kinematic. With physics engine, the force of the object is calculated by rigid body kinematics, and the centroid's displacement is more accurate compared with particle kinematics. Also, simulation using the physics engine provides a certain reference value for the security of staff, the operable range and so on. The hoisting tech.ique simulation system based on physics engine has been applied in launch site.

关键词： hoisting tech.ique process simulation rigid body kinematics ODE

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Hoisting tech.ique simulation based on physical engine for launch site

Hoisting technique simulation based on physical engine for l...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Na Chen Pengxiang Yi Xiuluo Liu Feng Wu Weiqing Li School of Computer Science and Engineering Nanjing University of Sci.& Tech. Nanjing China Beijing Special Engineering Design and Research Institute Beijing China

ISBN: (纸本)9781509034857

关键词： Engines Load modeling Automata Cranes Kinematics Gravity

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A new framework for designing incoherent sparsifying dictionaries

A new framework for designing incoherent sparsifying diction...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Gang Li Zhihui Zhu Huang Bai Aihua Yu School of Automation & EE Zhejiang Univ. of Sci. & Tech. Hangzhou China Electrical Engineering and Computer Science Colorado School of Mines Golden USA College of Information Engr. Zhejiang University of Technology Hangzhou China

ISBN: (纸本)9781509041183

This paper deals with designing incoherent sparsifying dictionaries. A new framework is proposed, in which the sparse representation error and mutual coherence are embedded. An alternating minimization method is developed for solving the optimal dictionary problem. One of the significant features of the proposed approach is that the dictionary is directly updated with each atom being normalized. A gradient-based algorithm is derived for this purpose. Experiments are carried out and the results show that the proposed approach outperforms some prevailing ones in terms of minimizing sparse representation error and mutual coherence.

关键词： Dictionary learning equiangular tight frame incoherent dictionary sparse representation sparse representation Dictionaries as Topic Minimization methods updated design

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Application of NUFFT to Terahertz FMCW 3-D imaging 9

Application of NUFFT to Terahertz FMCW 3-D imaging

引用

9th International Conference on Microwave and Millimeter Wave tech.ology, ICMMT 2016

作者： Li, Wu Yu, Ge Ling Gong, Chang Qing Sheng, Peng Shu School of Electronic and Optical Engineering Nanjing University of Sci. and Tech. Xiaolingwei Street 200 Xuanwu District Nanjing Jiangsu Province China Science and Technology on Electronic Test and Measurement Laboratory Qingdao Shandong Province China

ISBN: (纸本)9781467389815

Terahertz (THz) imaging tech.ology has been widely applied to the fields of security inspection, nondestructive testing. In this paper, the application of nonuniform fast Fourier transform(NUFFT)to the developed THz 3-D imaging system, which combines the advantages of THz and frequency modulation continuous wave (FMCW) signal, is investigated. The presented image reconstruction algorithm can increase computational efficiency compared with the conventional Omega-K (ωK) algorithm. The experimental results are illustrated to demonstrate the developed THz FMCW 3-D imaging system and the presented imaging method. © 2016 IEEE.

关键词： Nondestructive examination

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Single Image Blind Deblurring via Adapting Total Generalized Variation

Single Image Blind Deblurring via Adapting Total Generalized...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Shao,Wen-Ze Wang,Feng Ge,Qi Li,Hai-Bo Huang,Li-Li College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Jiangsu Key Lab.of Image and Video Understanding for Social Safety Nanjing University of Sci. & Tech. School of Science Guangxi University of Sci. & Tech.

In this paper, a fast blind deconvolution approach is proposed for image deblurring by modifying a recent natural image model, i.e., the total generalized variation（TGV）. As a generalization of total variation, TGV aims at reconstructing an image with higher-order smoothness as well as sharp edges. But, when it turns to the blind issue, as demonstrated either empirically or theoretically by a few previous blind deblurring works, natural image models including TGV prefer the blurred images rather than their counterpart sharp ones more often than not. Inspired by the discovery, a simple, yet effective modifying strategy is applied to the second-order TGV, leading to a novel l-l-norm-based image regularization adaptable to the blind deblurring problem. And then, a numerical algorithm is deduced with O（Nlog N） complexity for alternatively estimating intermediate sharp images and blur kernels, via coupling operator splitting, augmented Lagrangian, as well as fast Fourier transform. Experiment results on a benchmark dataset and realworld blurred images demonstrate the superiority or comparable performance of the proposed approach to state-of-the-art ones, in terms of both deblurring quality and speed.

关键词： Blind deconvolution total generalized variation blur kernel estimation camera shake removal l0-norm

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Sphere bound revisited: A new simulation approach to performance evaluation of binary linear codes over AWGN channels

Sphere bound revisited: A new simulation approach to perform...

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International Symposium on Turbo Codes and Related Topics

作者： Shancheng Zhao Jia Liu Xiao Ma College of Information Science and Technology Jinan University Guangzhou China School of Info. Sci. and Tech. Zhongkai University of Agriculture and Engineering Guangzhou China School of Data and Computer Science Sun Yatsen University Guangzhou China

In this paper, the sphere bound (SB) is revisited within a general bounding framework based on nested Gallager regions. We show that the SB proposed by Herzberg et al. is equivalent to the SB proposed by Kasami et al.. Interestingly, this general framework provides a new way to evaluate the performance of binary linear codes over additive white Gaussian noise (AWGN) channels. This simulation approach relies on only the geometry structure of the code itself. Therefore, simulation results can be used to evaluate not only the performance over AWGN channels but also that over other symmetrical real channels. Numerical results obtained with the new performance evaluation approach are presented.

关键词： AWGN channels Ear 5G mobile communication Decoding

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A Substation Virtual Environment ased on Motion Capture

A Substation Virtual Environment ased on Motion Capture

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2015 IEEE International Conference on Progress in Informatics and Computing(PIC 2015)

作者： Peng Liu Yuping Huo Xiue Zhang Bing Li School of Computer Science and Engineering Nanjing University of Sci.& Tech. Datong Electric Power Senior Technical School

In the immersive transformer training simulator, with inertia motion capture system, the operator’s motion data was captured and analyzed. The motions capture data of hand movements and gesture recognition algorithm were studied. A method of continuous space-time tracking of the hand joints was realized using skeleton graph. The hand movement features of natural human-machine interaction were defined.A method of hand segmentation from the depth graph background using hand joints of skeleton graph was proposed. Three kinds of gesture recognition method were realized with SVM and studied about stability and robustness. Semantics of gesture, mapped to virtual environments input events. The immersive transformer training simulator was realized based on the research.

关键词： virtual environment motion capture gesture recognition transformer training simulator

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A substation virtual environment based on motion capture

A substation virtual environment based on motion capture

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Peng Liu Yuping Huo Xiue Zhang Bing Li School of Computer Science and Engineering Nanjing University of Sci.& Tech. Nanjing China Datong Electric Power Senior Technical School Datong China

In the immersive transformer training simulator, with inertia motion capture system, the operator's motion data was captured and analyzed. The motions capture data of hand movements and gesture recognition algorithm were studied. A method of continuous space-time tracking of the hand joints was realized using skeleton graph. The hand movement features of natural human-machine interaction were defined. A method of hand segmentation from the depth graph background using hand joints of skeleton graph was proposed. Three kinds of gesture recognition method were realized with SVM and studied about stability and robustness. Semantics of gesture, mapped to virtual environments input events. The immersive transformer training simulator was realized based on the research.

关键词： Semantics Animation Gesture recognition Support vector machines Navigation Zinc Mice

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Fast -norm-based single image blind deblurring: A comparative study 12

Fast -norm-based single image blind deblurring: A comparativ...

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12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

作者： Shao, Wen-Ze Xie, Shi-Peng Ge, Qi Li, Hai-Bo Huang, Li-Li Wei, Zhi-Hui College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Sci. and Tech. Nanjing210094 China School of Science Guangxi University of Science and Technology Liuzhou545006 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781467376822

Single image blind deblurring has been intensively studied since Fergus et al.'s variational Bayes method in 2006. It is now commonly believed that the blur-kernel estimation accuracy is highly dependent on the pursed salient edge information from the blurred image, which stimulates numerous 0-approximating blind deblurring methods via kinds of tech.iques and tricks. This paper, however, focuses on the four recent daring attempts which are all based on the simple and direct 0-norm. A systematic comparative analysis is made towards those methods, clarifying their similarities and differences, and providing a benchmark evaluation on both the deblurring quality and computational efficiency. Results have demonstrated that the 0-norm alone is far enough to achieve top blind deblurring performance. Instead, details are to be paid with fairly more attention as working on the problem formulation as well as the algorithmic deduction. Besides, three possible extensions are analyzed on the most leading bi-l0-l2-norm regularization-based blind deblurring method. © 2015 IEEE.

关键词： Computational efficiency

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ActivityHijacker: Hijacking the Android Activity Component for Sensitive Data

ActivityHijacker: Hijacking the Android Activity Component f...

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International Conference on computer Communications and Networks (ICCCN)

作者： Zhaoguo Wang Chenglong Li Yi Guan Yibo Xue Yingfei Dong School of Computer Science and Technology Harbin Institute of Technology Harbin China National Computer network Emergency Response technical Team/Coordination Center of China Beijing China Tsinghua National Lab for Information Sci. & Tech. Beijing China Department of Electrical Engineering University of Hawaii Honolulu HI USA

ISBN: (纸本)9781509022809

As many malicious apps have been distributed in Android markets, it is urgent to fix the vulnerabilities exploited by these apps and develop effective mitigation methods. In this paper, we identify a common vulnerability in many Android apps. This vulnerability is rooted in an unprotected Android component, called "Activity". Utilizing this vulnerability, a malicious app can stealthily and cannily collect sensitive user data. To better understand this issue, we have built "ActivityHijacker", an app that can detect the right moment to hijack the Activity component and intercept a user's password while it is being inputted in real time. To assess the prevalence of this vulnerability, we further analyzed 8 Android OSs (version 2.x to 5.x) and 22 banking apps collected in January 2016 from various Android markets. Our results show that all these Android OSs and apps are susceptible to the vulnerability; 14 out of 22 banking apps can be hijacked without any prompts. We further present a mitigation mechanism that restricts the Activity component to authorized apps.

关键词： Androids Humanoid robots Smart phones Malware Switches Real-time systems Banking

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