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Visualtracking based on moving monocular camera

International Journal of Performability Engineering 2020年第8期16卷 1215-1224页

作者： Kan, Xiu He, Jia Xi, Zhenghao School of Mathematics Southeast University Nanjing210096 China School of Electronic and Electrical Engineering Shanghai University of Engineering Science Shanghai201620 China State Key Laboratory of Intelligent Technology and Systems Department of Computer Science Tsinghua University Shanghai201620 China

This paper investigates the problem of moving target tracking in the case of a monocular mobile camera. Firstly, a scene space model was established under a moving camera based on the constraint conditions of ground plane. Thus, a three-dimensional (3D) motion model of target could be established. The scene space model and the target 3D motion model could both be compensated by the posture of the camera, which can be calculated according to the vanishing point in the image or the motion parameters of the camera acquired by sensors. Secondly, an interception function was established to extract the target motion range according to the target 3D motion model. Both the influence of background factors and the computational complexity of the algorithm were reduced. Then, a dual-kernels tracking method was used to track the target under a situation of non-obvious color characteristics and partial shielding. Finally, a public data set was used to conduct comparison experiments with three other algorithms to verify the effectiveness and robustness of the proposed algorithm. © 2020 Totem Publisher, Inc.

关键词： Motion compensation

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Applications of 2D-Layered Palladium Diselenide and Its van der Waals Heterostructures in Electronics and Optoelectronics

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Nano-Micro Letters 2021年第9期13卷 292-343页

作者： Yanhao Wang Jinbo Pang Qilin Cheng Lin Han Yufen Li Xue Meng Bergoi Ibarlucea Hongbin Zhao Feng Yang Haiyun Liu Hong Liu Weijia Zhou Xiao Wang Mark HRummeli Yu Zhang Gianaurelio Cuniberti Institute of Marine Science and Technology Shandong UniversityQingdao 266237People’s Republic of China College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006People’s Republic of China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province Soochow UniversitySuzhou 215006People’s Republic of China Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie Sklodowskiej 3441-819 ZabrzePoland Institute for Complex Materials IFW Dresden 20 Helmholtz Strasse01069 DresdenGermany Institute of Environmental Technology VŠB-Technical University of Ostrava 17.listopadu 15Ostrava 70833Czech Republic Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanShandongJinan 250022People’s Republic of China State Key Laboratory of Crystal Materials Center of Bio and Micro/Nano Functional MaterialsShandong University27 Shandanan RoadJinan 250100People’s Republic of China Department of Chemistry Guangdong Provincial Key Laboratory of Catalytic ChemistrySouthern University of Science and TechnologyShenzhenGuangdong 518055People’s Republic of China State Key Laboratory of Advanced Materials for Smart Sensing GRINM Group Co.Ltd.Xinwai Street 2Beijing 100088People’s Republic of China Shenzhen Institutes of Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences1068 Xueyuan AvenueShenzhen University TownShenzhen 518055People’s Republic of China Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität Dresden01069 DresdenGermany Center for Advancing Electronics Dresden Technische Universität Dresden01069 DresdenGermany Dresden Center for Computational Materials Science Technische Universität Dresden01062 DresdenGermany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität Dresden01062 Dr

The rapid development of two-dimensional(2D)transition-metal dichalcogenides has been possible owing to their special structures and remarkable *** particular,palladium diselenide(PdSe_(2))with a novel pentagonal structure and unique physical characteristics have recently attracted extensive research ***,tremendous research progress has been achieved regarding the physics,chemistry,and electronics of PdSe_(2).Accordingly,in this review,we recapitulate and summarize the most recent research on PdSe_(2),including its structure,properties,synthesis,and ***,a mechanical exfoliation method to obtain PdSe_(2) nanosheets is introduced,and large-area synthesis strate-gies are explained with respect to chemical vapor deposition and metal ***,the electronic and optoelectronic properties of PdSe_(2) and related hetero-structures,such as field-effect transistors,photodetectors,sensors,and thermoelec-tric devices,are ***,the integration of systems into infrared image sensors on the basis of PdSe_(2) van der Waals heterostructures is ***,future opportunities are highlighted to serve as a general guide for physicists,chemists,materials scientists,and ***,this com-prehensive review may shed light on the research conducted by the 2D material community.

关键词： Palladium diselenide nTMDC Synthesis Field-effect transistors Photodetectors Sensors

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Data-driven prediction of mechanical properties of 3D-printed dual-material composites based on deep transfer learning

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Composites Part A: Applied science and Manufacturing 2025年 198卷

作者： Shiyi Xu Haoming Yang Tianyun Li Yao Zhang School of Naval Architecture and Ocean Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Engineering Mechanics School of Aerospace Engineering Huazhong University of Science and Technology Wuhan 430074 China Hubei Key Laboratory of Naval Architecture and Ocean Engineering Hydrodynamics Wuhan 430074 China State Key Laboratory of Intelligent Manufacturing Equipment and Technology Hubei Key Laboratory of Engineering Structural Analysis and Safety Assessment Wuhan 430074 China

Dual-material composites manufactured by Fused Filament Fabrication (FFF) techniques are emerging as promising structural materials with superior mechanical properties. It remains challenging to establish the relationship between their complex design parameters and their mechanical properties, which are significantly influenced by structural defects like inter-filament voids induced by additive manufacturing. This work printed dual-material composites from polylactic acid (PLA), thermoplastic polyurethane (TPU), and acrylonitrile butadiene styrene (ABS) based on a design strategy that designs both the structure within each constituent material and the spatial arrangement of different constituent materials, and explored their mechanical properties obtained from three-point bending tests. Experimental results revealed that PLA-TPU and PLA-ABS composites with appropriate design parameters outperform their single-material counterpart and linear infill pattern with a 70% infill density generally leads to the best bending performance. A deep transfer learning model integrating Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and self-attention mechanisms is developed to predict the bending performance of PLA-TPU composites with high accuracy based on limited sample data. By mapping bending stress–strain behaviors from the source domain (PLA-ABS composite) to the target domain (PLA-TPU composite), the model enables knowledge transfer across different materials. This work establishes a robust framework for predicting mechanical properties of 3D-printed dual-material composites and provides insights into the optimization of their structures and mechanical performances.

关键词： Weldability

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Interpretation-enabled software reuse detection based on a multi-level birthmark model

arXiv

引用

arXiv 2021年

作者： Xu, Xi Zheng, Qinghua Yan, Zheng Fan, Ming Jia, Ang Liu, Ting Key Laboratory of Intelligent Networks and Network Security Ministry of Education China School of Computer Science and Technology Xi'an Jiaotong University China School of Cyber Science and Engineering Xi'an Jiaotong University China State Key Lab on Integrated Services Networks School of Cyber Engineering Xidian University China Department of Communications and Networking Aalto University Finland

Software reuse, especially partial reuse, poses legal and security threats to software development. Since its source codes are usually unavailable, software reuse is hard to be detected with interpretation. On the other hand, current approaches suffer from poor detection accuracy and efficiency, far from satisfying practical demands. To tackle these problems, in this paper, we propose ISRD, an interpretation-enabled software reuse detection approach based on a multi-level birthmark model that contains function level, basic block level, and instruction level. To overcome obfuscation caused by cross-compilation, we represent function semantics with Minimum Branch Path (MBP) and perform normalization to extract core semantics of instructions. For efficiently detecting reused functions, a process for "intent search based on anchor recognition" is designed to speed up reuse detection. It uses strict instruction match and identical library call invocation check to find anchor functions (in short anchors) and then traverses neighbors of the anchors to explore potentially matched function pairs. Extensive experiments based on two real-world binary datasets reveal that ISRD is interpretable, effective, and efficient, which achieves 97.2% precision and 94.8% recall. Moreover, it is resilient to cross-compilation, outperforming state-of-the-art approaches. © 2021, CC BY-NC-SA.

关键词： computer software reusability

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Erratum to: Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance

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science CHINA Information sciences 2024年第12期67卷 1-1页

作者： Zhijia ZHAO Jiale WU Zhijie LIU Wei HE C. L. Philip CHEN School of Mechanical and Electrical Engineering Guangzhou University Guangzhou 510006 China School of Intelligence Science and Technology and Key Laboratory of Intelligent Bionic Unmanned Systems of Ministry of Education University of Science and Technology Beijing Beijing 100083 China School of Computer Science and Engineering South China University of Technology Guangzhou 510641 China Pazhou Lab Guangzhou 510335 China

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Generating adjacency-constrained subgoals in hierarchical reinforcement learning 20

Generating adjacency-constrained subgoals in hierarchical re...

引用

Proceedings of the 34th International Conference on Neural Information Processing systems

作者： Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen Department of Automation Tsinghua University Department of Civil and Environmental Engineering Stanford University Department of Computer Science and Technology Tsinghua University and Beijing National Research Center for Information Science and Technology and State Key Laboratory of Intelligent Technology and Systems Department of Automation Tsinghua University and Beijing Innovation Center for Future Chip and LSBDPA Beijing Key Laboratory

ISBN: (纸本)9781713829546

Goal-conditioned hierarchical reinforcement learning (HRL) is a promising approach for scaling up reinforcement learning (RL) techniques. However, it often suffers from training inefficiency as the action space of the high-level, i.e., the goal space, is often large. Searching in a large goal space poses difficulties for both high-level subgoal generation and low-level policy learning. In this paper, we show that this problem can be effectively alleviated by restricting the high-level action space from the whole goal space to a k-step adjacent region of the current state using an adjacency constraint. We theoretically prove that the proposed adjacency constraint preserves the optimal hierarchical policy in deterministic MDPs, and show that this constraint can be practically implemented by training an adjacency network that can discriminate between adjacent and non-adjacent subgoals. Experimental results on discrete and continuous control tasks show that incorporating the adjacency constraint improves the performance of state-of-the-art HRL approaches in both deterministic and stochastic environments.

关键词：

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Merging high localization and TE-TM polarization degeneracy of guided waves in dielectric metasurfaces

arXiv

引用

arXiv 2024年

作者： Li, Rui Polevoy, Sergey Tuz, Vladimir Yermakov, Oleh State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering International Center of Future Science Jilin University 2699 Qianjin Street Changchun130012 China Department of Radiospectroscopy O. Ya. Usikov Institute for Radiophysics and Electronics The NAS of Ukraine Kharkiv61085 Ukraine School of Radiophysics Biomedical Electronics and Computer Systems V. N. Karazin Kharkiv National University 4 Svobody Square Kharkiv61022 Ukraine Department of Computational Physics V. N. Karazin Kharkiv National University 4 Svobody Square Kharkiv61022 Ukraine Department of Fiber Photonics Leibniz Institute of Photonic Technology 9 Albert-Einstein-Straße Jena07745 Germany

The polarization degree of freedom is an inherent feature of plane waves propagating in an isotropic homogeneous medium. The miniaturization of optical systems leads to the high localization of electromagnetic waves, but also to the loss of polarization control, namely, breaking TE-TM polarization degeneracy. In this work, we discover the near-field polarization degree of freedom for highly localized guided waves propagating along a dielectric metasurface. We demonstrate the opportunity to create a metasurface with the degenerate TE-TM polarization spectrum for the required operating wavelength and different constitutive materials. In particular, we analyze several possible implementations including silicon nitride and ceramic metasurfaces consisting of disk-shaped resonators, and evaluate the impact of substrate. Finally, we experimentally implement one of the metasurface designs and verify its broadband degenerate TE-TM polarization spectrum. The obtained results form a fundamentally new platform for the planar polarization devices utilizing the polarization degree of freedom of localized light. © 2024, CC BY.

关键词： Silicon nitride

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Automatic software testing target path selection using k-means clustering algorithm

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International Journal of Performability Engineering 2019年第10期15卷 2667-2674页

作者： Zhang, Yan Qiao, Li Wang, Xingya Cai, Jingying Liu, Xuefei Department of Computer and Information Technology Mudanjiang Normal University Mudanjiang157012 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210093 China Department of Computer Science and Technology Heilongjiang University Harbin150080 China

Path testing is an effective method of software testing. It is not realistic to achieve coverage for all paths during complex software testing. Selecting the correct paths as target paths is a key problem. A method of selecting target paths based on the K-means algorithm is presented in this study. First, we divide paths into different groups using the K-means algorithm, so that paths having high similarity are divided into the same group. Then, we choose the cluster centers as targets and ensure that the selected target paths have more considerable differentiation, which guarantees the adequacy of later testing. The experimental results demonstrate the effectiveness of the proposed method. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Software testing

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Intrinsic mechanical behavior of MgAgSb thermoelectric material:An ab initio study

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Journal of Materiomics 2020年第1期6卷 24-32页

作者： Guodong Li Qi An Umut Aydemir Sergey I.Morozov Bo Duan Pengcheng Zhai Qingjie Zhang William A.Goddard Ⅲ Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics School of ScienceWuhan University of TechnologyWuhan430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan430070China Department of Chemical and Materials Engineering University of Nevada RenoRenoNV89557USA Department of Chemistry Koc UniversitySariyerIstanbul34450Turkey Boron and Advanced Materials Research Center Koc UniversitySariyerIstanbul34450Turkey Department of Computer Simulation and Nanotechnology South Ural State UniversityChelyabinsk454080Russia Materials and Process Simulation Center California Institute of TechnologyPasadenaCA91125USA

α-MgAgSb based thermoelectric(TE)device attracts much attention for its commercial application because it shows an extremely high conversion efficiency of ~8.5% under a temperature difference of 225 ***,the mechanical behavior of α-MgAgSb is another serious consideration for its engineering ***,we apply density functional theory(DFT)simulations to examine the intrinsic mechanical properties of all three MgAgSb phases,including elastic properties,shear-stress-shear-strain relationships,deformation and failure mechanism under ideal shear and biaxial shear *** find that the ideal shear strength of α-MgAgSb is 3.25 GPa along the most plausible(100)<010>slip *** strength is higher than that of β-MgAgSb(0.80 GPa)and lower than that of γ-MgAgSb(3.43 GPa).The failure of α-MgAgSb arises from the stretching and breakage of MgeSb bond α-MgAgSb under pure shear load,while it arises from the softening of MgeAg bond and the breakage of AgeSb bond under biaxial shear *** suggests that the deformation mechanism changes significantly under different loading conditions.

关键词： MgAgSb thermoelectric materials Density functional theory Ideal strength Deformation mechanism

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Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

arXiv

引用

arXiv 2021年

作者： Liu, Wenjie Sun, Jian Wang, Gang Bullo, Francesco Chen, Jie State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Department of Control Science and Engineering Tongji University Shanghai201804 China Mechanical Engineering Department The Center of Control Dynamical Systems and Computation UC Santa BarbaraCA93106-5070 United States

This paper is concerned with the problem of stabilizing continuous-time linear time-invariant systems subject to quantization and Denial-of-Service (DoS) attacks. In this context, two DoS-induced challenges emerge with the design of resilient encoding schemes, namely, the coupling between encoding strategies of different signals, and the synchronization between the encoder and decoder. To address these challenges, a novel structure that is equipped with a deadbeat controller as well as a delicate transmission protocol for the input and output channels, co-designed leveraging the controllability index, is put forward. When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals. This property is further corroborated by designing encoding schemes as well as conditions that ensure exponential stability of the closed-loop system. On the other hand, when only the output channel is subject to network phenomenon, the proposed structure can achieve exponential stabilization without acknowledgment (ACK) signals, in contrast to existing ACK-based results. Finally, a numerical example is given to demonstrate the practical merits of the proposed approach as well as the theory. © 2021, CC BY.

关键词： Denial-of-service attack

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