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2016 IEEE Intelligent Vehicles Symposium, IV 2016

作者： Hao, Sheng Zhang, Beichen Yan, Huang Zheng, Yanwei Zhang, Xiong State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing100191 China Shenzhen Key Laboratory of Data Vitalization Research Institute in Shenzhen Beihang University ShenZhen518057 China

ISBN: (纸本)9781509018215

Person re-identification is one of the most important issues in intelligent transportation systems. Recently, the widespread availability of cameras and a growing need for public safety have increasingly motivated interest in the problem of person re-identification in multi-camera networks. The main difficulty of person re-identification arises from the variations in human pose, different viewpoint in multi-camera, cluttered background, occlusion, and low image resolution, which lead person re-identification to a challenging problem. This paper presents a method based on sparse coding for person re-identification. To apply sparse coding method, we firstly solve the problem of aligning person images, and to enhance the discrimination of dictionary, a dictionary learning model is added into our method. Experiments on benchmark dataset (CAVIARa, ETZH, i-LIDS) demonstrate that the proposed method outperforms the state-of-the-art approaches. © 2016 IEEE.

关键词： Image resolution

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基于数据互联服务的隧道新奥法施工构想与初探

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engineering 2018年第1期 265-280页

作者：杜博文杜彦良徐飞贺鹏 State Key Laboratory of Software Development Environment Beihang University Structural Health Monitoring and Control Institute Shijiazhuang Tiedao University Research Center of Geotechnical and Structural Engineering Shandong University

新奥法(NATM)广泛应用于山岭隧道、城市地铁、地下贮库、地下厂房、矿山巷道等地下工程,掌子面前方地质、围岩变形、支护结构受力状态等在施工过程中的动态变化情况,是评价结构稳定程度、优化施工方案,确保隧道施工安全与质量的必要信... 详细信息

新奥法(NATM)广泛应用于山岭隧道、城市地铁、地下贮库、地下厂房、矿山巷道等地下工程,掌子面前方地质、围岩变形、支护结构受力状态等在施工过程中的动态变化情况,是评价结构稳定程度、优化施工方案,确保隧道施工安全与质量的必要信息。施工过程中获取的大量动态监测信息的不确定性与离散性,给施工方案的选择及灾害事故与险情的准确预测带来了巨大挑战,增加了隧道安全隐患。针对上述问题,本文提出了一种基于互联网大数据支持环境下的隧道施工数据服务系统,通过对已施工案例中各检测器结果进行标记,建立同场景下施工相关参数的关联,利用工程案例的积累不断补充和完善,实现相似环境下的参数提取,为同类场景下施工方案设计、施工资源的合理分配提供数据支撑,为后续工程设计、施工提供依据。

关键词：新奥法大数据环境数据服务隧道施工

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Weight-based sparse coding for multi-shot person re-identification

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Science China(Information Sciences) 2015年第10期58卷 38-52页

作者： ZHENG YanWei SHENG Hao ZHANG BeiChen ZHANG Jun XIONG Zhang State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang University Shenzhen Key Laboratory of Data Vitalization Research Institute in ShenzhenBeihang University Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee

Person re-identification(Re-ID) is the problem of matching a person from different cameras based on appearance. It has interesting algorithm challenges and extensive practical applications. This paper presents a weight-based sparse coding approach for person re-identification. First, three hypotheses are introduced to achieve a linear combination of images based on sparse coding. Then, we convert the person re-identification problem into an optimization problem with sparse constraints. To reduce the influence of abnormal residuals caused by occlusion and body variation, a weight-based sparse coding approach is proposed to achieve the optimal weights by the ordering statistics of square residuals iteratively. Experiments on various public datasets for different multi-shot modalities have shown good performance of the proposed approach compared with other state-of-the-art ones(more than 42% and 34% at rank-1 on CAVIAR4 REID and i-LIDS, respectively).

关键词： smart city person re-identification video surveillance multi-shot weight-based sparse coding

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An experimental evaluation of balance strategy based obstacle avoidance

An experimental evaluation of balance strategy based obstacl...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Ruijuan Chang Rong Ding Mengxiang Lin Dechao Meng Zeye Wu Meng Hang State Key Laboratory of Software Development Environment Beijing China Research Institute of Beihang University in Shenzhen Shenzhen China School of Mechanical Engineering and Automation Beihang University Beijing China

ISBN: (纸本)9781509035502

Optical flow plays an important role in vision-based navigation. A lot of optical flow based methods have been developed for autonomous robots. In this paper, we evaluate obstacle avoidance methods based on optical flow in synthetic and real-world scenes. Specifically, the balance strategy is chosen and five representative optical flow algorithms are used. The new metrics for obstacle avoidance performance are introduced. Our experiments demonstrate the effectiveness of the balance strategy for obstacle avoidance. Furthermore, some factors contributing to obstacle avoidance ability are studied.

关键词： Collision avoidance Robots Gratings Optical imaging Optical sensors Integrated optics Trajectory

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Simulation of(p,d) reaction on RIBLL2 for study of tensor force

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Nuclear Science and Techniques 2015年第4期26卷 72-76页

作者：郭晨雷张高龙屈卫卫 Satoru Terashima Isao Tanihata 乐小云 State Key Laboratory of Software Development Environment Beihang University School of Physics and Nuclear Energy Engineering Beihang University International Research Center for Nuclei and Particles in the Cosmos Beihang University Research Center for Nuclear Physics Osaka University

In order to study the effect of tensor force,we plan to perform a(p,d)reaction with a 400–1600 Me V proton beam on the RIBLL2 at *** on the experimental conditions of RIBLL2,a Monte Carlo method is used to simulate(p,d)reaction *** distributions of primary beam and scattered deuterons are given on the target and at the F1,F2,F3,and F4 *** the yield of the deuteron,to separate the produced deuteron from the background particles,the target thickness is *** obtain a clear particle identification spectrum by time of flight(TOF)and energy loss(?E),the distance between the two detectors,as well as the energy and timing resolution of detectors are *** a result,the distance between F2 and F4 is fit for that of *** taking into account the particle distribution at F4,both sizes of Multi-Wire Drift Chamber,namely MWDC2 and MWDC3,are selected to be 50 mm×50 mm.

关键词：反应过程模拟张力 Carlo法能量分辨率实验条件能量损失粒子识别

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A modeling methodology to facilitate safety-oriented architecture design of industrial avionics software

A modeling methodology to facilitate safety-oriented archite...

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作者： Wu, Ji Yue, Tao Ali, Shaukat Zhang, Huihui State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China Certus Software Verification and Validation Center Simula Research Laboratory Lysaker Norway

Summary Ensuring that avionics software meets safety requirements at each development stage is very important to warrant the safe operation of an avionics system. Many safety requirements are imposed by various standards and industrial regulations that must be met by avionics software. One of such standards is DO-178B/C, which provides guidelines (e.g., development process and objectives to satisfy in development activities) for meeting safety requirements. This paper presents a modeling methodology including a UML profile for specifying safety requirements on a component-based architecture model and a set of design guidelines on avionics software. These safety requirements were identified from both standards (mainly DO-178B/C) and current engineering practices in the domain of avionics systems. The methodology automatically enforces these safety requirements. We have applied the methodology on an industrial autopilot system, and several previously uncaught faults were revealed. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： Accident prevention

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Towards Better Understanding of App Functions

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Journal of Computer Science & Technology 2015年第5期30卷 1130-1140页

作者：童咏昕余洁莹陈雷 State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing 100191 China International Research Institute for Multidisciplinary Science Beihang University Beijing 100191 China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong I(ong China

Apps are attracting more and more attention from both mobile and web platforms. Due to the self-organized nature of the current app marketplaces, the descriptions of apps are not formally written and contain a lot of noisy words and sentences. Thus, for most of the apps, the functions of them are not well documented and thus cannot be captured by app search engines easily. In this paper, we study the problem of inferring the real functions of an app by identifying the most informative words in its description. In order to utilize and integrate the diverse information of the app corpus in a proper way, we propose a probabilistic topic model to discover the latent data structure of the app corpus. The outputs of the topic model are further used to identify the function of an app and its most informative words. We verify the effectiveness of the proposed methods through extensive experiments on two real app datasets crawled from Google Play and Windows Phone Store, respectively.

关键词： app function docmnent topic model

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Fault-Diagnosis for Reciprocating Compressors Using Big Data

Fault-Diagnosis for Reciprocating Compressors Using Big Data

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IEEE International Conference on Big Data Computing Service and Applications (BigDataService)

作者： Keerqinhu Guanqiu Qi Wei-Tek Tsai Yi Hong Wenxiang Wang Guangxin Hou Zhiqin Zhu Research Center of China National Offshore Oil Corporation Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA State Key Laboratory of Software Development Environment Beihang University Beijing China College of Automation Chongqing University Chongqing China

Reciprocating compressors are widely used in the petroleum industry, and a small fault in reciprocating compressors may cause serious issues in operation. Monitoring and detecting potential faults help compressors to continue normal operation. This paper proposes a fault-diagnosis system for compressors using machine-learning techniques to detect potential faults. The system has been evaluated using 100TB operation data collected from China National Offshore Oil Corporation, and the data are first de-noised, coded, and then SVM classification is applied, with 50% of data used for training, the remaining for testing. The results demonstrated that the system can efficiently diagnose potential faults in compressors with 80% accuracy.

关键词： Compressors Fault diagnosis Data analysis Support vector machines Servers Testing Sparse matrices

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Vehicle association among multiple cameras 4th

Vehicle association among multiple cameras

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4th International Conference on Electronics, Communications and Networks, CECNet2014

作者： Sheng, Hao Zhang, Xing Li, Chao Xiong, Zhang State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China Wenzhou Research Institute Beihang University Wenzhou China Shenzhen Key Laboratory of Data Vitalization Research Institute in Shenzhen Beihang University Shenzhen China

ISBN: (纸本)9781138028302

In this paper, we propose an active method to associate the behaviors of the target among multiple cameras. We place a sample collection of photographed vehicles in each camera, which is captured by its own. The captured target is used to calculate a set of distance vectors with the sample collection in each camera. To improve the accuracy of distance vectors matching between images from different viewpoints, we propose a method combined color histogram and ASIFT to obtain the distance vectors. Afterwards we compute the distance of the two vectors to determine whether the targets in two cameras are the same. In no overlapping region case, there may be some mistakes among similar vehicles-the latter cameras may associate with another object which has the exact same features with the target. In this article, we use a prediction method, which utilizes spatial and temporal properties to solve this problem. © 2015 Taylor & Francis Group, London.

关键词： Cameras

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Dynamic reconfiguration of composite convergent services supported by multimodal search 18th

Dynamic reconfiguration of composite convergent services sup...

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18th International Conference on Business Information Systems, BIS 2015

作者： Ordòñez, Armando Ordòñez, Hugo Figueroa, Cristhian Cobos, Carlos Corrales, Juan Carlos Intelligent Management Systems Fundaciòn Universitaria de Popayàn Popayàn Colombia Research Laboratory for Software Engineering Universidad de San Buenaventura Cali Colombia Telematics Engineering Group Universidad Del Cauca Popayàn Colombia Software Engineering Group Politecnico di Torino Turin Italy Information Technology Research and Development Group Universidad Del Cauca Popayàn Colombia

ISBN: (纸本)9783319190266

Composite convergent services integrate a set of functionalities from Web and Telecommunication domains. Due to the big amount of available functionalities, automation of composition process is required in many fields. However, automated composition is not feasible in practice if reconfiguration mechanisms are not considered. This paper presents a novel approach for dynamic reconfiguration of convergent services that replaces malfunctioning regions of composite convergent services considering user preferences. In order to replace the regions of services, a multimodal search is performed. Our contributions are: a model for representing composite convergent services and a region-based algorithm for reconfiguring services supported by multimodal search. © Springer International Publishing Switzerland 2015.

关键词： Dynamic models

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