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14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019

作者： Deng, Libao Song, Le Sun, Ning School of Information Science and Engineering Harbin Institute of Technology at Weihai Weihai China Department of Automatic Test and Control Harbin Institute of Technology Harbin China

ISBN: (纸本)9789811534249

2.5-dimensional integrated circuits (2.5D ICs) are considered today as a promising solution for overcoming the bottlenecks introduced by technology scaling. In 2.5D ICs, the circuit failures are also inevitable to arise, mainly because of timing variations induced by runtime and process variations as well as transistor aging which result in path delay. However, the increase of density and complexity of circuits in 2.5D ICs brings more challenges to the detection of in-field path delay. It is feasible to track the delay of every critical path due to the unaffordable overhead of sensors or test patterns. In this paper, we propose to adopt the DE-based clustering algorithm to select a set of representative critical paths. Therefore, by only testing the delay of the selected small number of paths, the concerning parameters of these circuits are derived and used to infer the delay of a large number of the rest paths which are probably to fail due to timing variations. We simulate the proposed approach on benchmark circuits, and the results demonstrate the effectiveness for the collaborative optimization of representative critical path number and delay prediction accuracy. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Timing circuits

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CorPN: Corner Prediction Network for Visual Tracking

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IEEE Transactions on Consumer Electronics 2025年

作者： Li, Qun Zhang, Haijun Yang, Kai Dai, Wei Ma, Jianghong Liu, Yuping the Department of Computer Science Harbin Institute of Technology Shenzhen Xili University Town Shenzhen518055 China the School of Computer Science and Artificial Intelligence WuHan Textile University Wuhan430200 China the School of Information and Control Engineering Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou221116 China the School of Microelectronics Fudan University Shanghai200433 China

Object tracking is a well-established task in the field of computer vision. Despite numerous efforts over the last few decades, object tracking remains a formidable challenge, largely due to the complexity of the scenes encountered in video sequences. In line with the powerful capabilities of Transformers for object feature extraction and fusion, as well as drawing inspiration from CornerNet, this paper introduces a new Transformer-based anchor-free method designed for object tracking called CorPN (i.e., Corner Prediction Network). Specifically, a Transformer-based backbone is proposed to extract and fuse deep features in a Siamese network architecture. Furthermore, our methodology aims to emulate the intuitive cognitive process by which humans identify the bounding-box corners of objects. CorPN turns out to be a more effective and robust tracking method because it jointly leverages multi-level feature aggregation, corner prediction, and probabilistic prediction incorporated in the tracking head. In extensive evaluations on public datasets, our method achieves a state-of-the-art performance. In particular, our approach achieves an area-under-the-curve (AUC) of 85.2%, a precision score (P) of 84.5%, and a normalized precision score (Pnorm) of 89.6%, outperforming extant state-of-the-art trackers on these metrics. © 2025 IEEE. All rights reserved,

关键词： Object detection

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Centralized Cloud Predictive control of Multiple Lighting Systems

Centralized Cloud Predictive Control of Multiple Lighting Sy...

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第41届中国控制会议

作者： Chuanguo Chi Clara-Mihaela lonescu Ricardo Cajo Guo-Ping Liu School of Astronautics Harbin Institute of Technology Ghent University Research group on Dynamical Systems and Control Department of Electronic and Electrical Engineering Southern University of Science and Technology

This paper studies the application of centralized cloud predictive control based on dSPACE system in multiple lighting system control.A centralized cloud predictive control scheme is designed to achieve the consistency and stability of multiple lighting control at the same *** dSPACE multiple lighting control system is corrected and *** design of cloud prediction controller based on dSPACE system is introduced in *** cloud predictive control scheme is analyzed through simulation experiments,and the effective parameters of stability and consistency of closed-loop multiple lighting control system are *** effectiveness of the proposed scheme on the dynamic behavior and control performance of multiple lighting system is *** research results provide a foundation for multiple lighting cooperative control and its ***,the stability and consistency of the controller are verified by the physical experiment platform based on dSPACE.

关键词： Multiple lighting control dSPACE controller cloud predictive control consensus and stability

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Key technologies for electric vehicles

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Green Energy and Intelligent Transportation 2022年第2期1卷 135-137页

作者： Rui Xiong Jonghoon Kim Weixiang Shen Chen Lv Hailong Li Xiaoyong Zhu Wanzhong Zhao Bingzhao Gao Hongyan Guo Chengming Zhang Fengchun Sun Department of Vehicle Engineering School of Mechanical EngineeringBeijing Institute of TechnologyNo.5 South Zhongguancun StreetHaidian DistrictBeijing 100081China Energy Storage and Conversion Laboratory Department of Electrical EngineeringCollege of EngineeringChungnam National UniversityDaejeon34134South Korea School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyHawthornVictoria 3122Australia School of Mechanical and Aerospace Engineering Nanyang Technological University639798Singapore School of Business Society and Engineering Mälardalen UniversitySE 72123VäteråsSweden School of Electrical and Information Engineering Jiangsu UniversityZhenjiangChina Department of Vehicle Engineering Nanjing University of Aeronautics and AstronauticsNanjingChina Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China Department of Electrical Engineering Harbin Institute of TechnologyHarbinChina

*** Electric vehicles(EVs)are playing an increasingly important role in decarbonizing the transportation *** constitute a promising solution to a set of global challenges such as climate change and air *** are an integration of a wide spectrum of techniques,such as battery monitoring,battery safety and vehicle energy *** this regard,the EV development still faces significant challenges,which necessitate innovations in EV *** this,Green Energy and Intelligent Transportation(GEITS)organizes a special issue of“Key Technologies for Electric Vehicles”that attempts to advance knowledge in the area of EVs and provides a platform for researchers and engineers to share recent research results and discuss critical challenges in this field.A wide spectrum of topics are discussed,including but not limited to the following.

关键词： battery Key challenges

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Joint Uplink and Downlink Rate Splitting for Fog Computing-Enabled Internet of Medical Things

arXiv

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arXiv 2024年

作者： Zhou, Jiasi Chen, Yan Zhou, Cong Sun, Yanjing Tellambura, Chintha School of Medical Information and Engineering Xuzhou Medical University Xuzhou221004 China Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland School of Electronic and Information Engineering Harbin Institute of Technology Harbin150001 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada

The Internet of Medical Things (IoMT) facilitates in-home electronic healthcare, transforming traditional hospitalbased medical examination approaches. This paper proposes a novel transmit scheme for fog computing-enabled IoMT that leverages uplink and downlink rate splitting (RS). Fog computing allows offloading partial computation tasks to the edge server and processing the remainder of the tasks locally. The uplink RS and downlink RS utilize their flexible interference management capabilities to suppress offloading and feedback delay. Our overarching goal is to minimize the total time cost for task offloading, data processing, and result feedback. The resulting problem requires the joint design of task offloading, computing resource allocation, uplink beamforming, downlink beamforming, and common rate allocation. To solve the formulated nonconvex problem, we introduce several auxiliary variables and then construct accurate surrogates to smooth the achievable rate. Moreover, we derive the optimal computation resource allocation per user with closed-form expressions. On this basis, we recast the computing resource allocation and energy consumption at the base station to a convex constraint set. We finally develop an alternating optimization algorithm to update the auxiliary variable and inherent variable alternately. Simulation results show that our transmit scheme and algorithm exhibit considerable performance enhancements over several benchmarks. © 2024, CC BY.

关键词： Fog computing

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Path Planning for Lunar Rover Based on Bi-RRT Algorithm

Path Planning for Lunar Rover Based on Bi-RRT Algorithm

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第40届中国控制会议

作者： Yiming Wang Qiufan Yuan Yanning Guo Weidi Han Department of Control Science and Engineering Harbin Institute of Technology Aerospace System Engineering Shanghai

A new method based on the Bi-RRT(Bidirectional Rapidly exploring Random Tree) algorithm,APF(Artificial Potential Field) algorithm,and DOM(Digital Orthophoto Map) is presented in this paper to solve the lunar rover path planning ***,we use DOM to build an occupancy grid map through an image processing *** we build a repulsive potential field based on the obstacle and an attractive potential field based on the *** then designed an improved Bi-RRT algorithm based on a novel potential field guidance growth method and a goal bias sampling ***,a simulation was carried out on the lunar DOM to verify the efficiency and safety of the proposed Bi-RRT-APF *** results show that the searching efficiency of the Bi-RRT-APF algorithm is increased by twice compared with the Bi-RRT algorithm and is increased by four times compared with the RRT-APF *** safe coefficient of the Bi-RRT-APF algorithm is increased by 42.7% compared with the Bi-RRT algorithm.

关键词： Path Planning Lunar Rover Bi-RRT APF DOM

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Variable observation duration scheduling problem for agile Earth observation satellite based on quantum genetic algorithm

Variable observation duration scheduling problem for agile E...

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第40届中国控制会议

作者： Hui Zhi Weikui Liang Peng Han Yanning Guo Chuanjiang Li Department of Control Science and Engineering Harbin Institute of Technology Aerospace System Engineering Shanghai

Compared to the conventional Earth observation satellites, the agile Earth observation satellites have stronger attitude adjustment capability along three axes which also make the scheduling problem more difficult. This paper proposes a new variable observation duration scheduling method based on the quantum genetic algorithm for agile Earth observation satellites at multiple observation tasks. First, we model the scheduling problem and take the observation profits as the performance function that combines the task priority and observation duration. Then, we propose a new coding method that includes the actual observation start time and the observation duration. Based on the good continuous space search ability of the quantum genetic algorithm, we design the corresponding quantum genetic algorithm which searches in both discrete domain and continuous domain. Finally, we give the simulation of multi-task multi-satellite scheduling problems and get the results of efficient observation planning which indicate the effectiveness of the algorithm.

关键词： Quantum genetic algorithm scheduling agile Earth observation satellite

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Parametric S-Parameter Prediction Using Deep Learning

Parametric S-Parameter Prediction Using Deep Learning

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IEEE Topical Meeting on Electrical Performance of Electronic Packaging (EPEPS)

作者： Vinayak Bansal Lihong Feng Valentin de la Rubia Peter Benner Department of Chemical Engineering Indian Institute of Technology Delhi India Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Departamento de Mateádtica Aplicada a las TIC Universidad Politécnica de Madrid Madrid Spain

We construct a neural network model of S-parameters, from which the S-parameters can be quickly pre-dicted. Numerical tests on a filter model show that the proposed method accurately predicts the S-parameters with mul... 详细信息

ISBN: (数字)9798350351231

ISBN: (纸本)9798350351248

关键词： Deep learning Accuracy Transfer functions Predictive models Stability analysis Scattering parameters Numerical models Feedforward neural networks Numerical stability Electronics packaging

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Studying Substituent and Symmetry Effects on Vibrational Energy Transfer by Time-Resolved CARS Spectroscopy

SSRN

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SSRN 2023年

作者： Zou, Qingxiao Liu, Weilong Li, Jiajun Wei, Ming Yang, Yanqiang Liu, Xiaosong School of Electrical and Control Engineering Xuzhou University of Technology Xuzhou221018 China Department of Physics Harbin Institute of Technology Harbin150001 China School of Physics and New Energy Xuzhou University of Technology Xuzhou221018 China National Key Laboratory of Shock Wave and Detonation Physics Institute of Fluid Physics China Academy of Engineering Physics Mianyang China

Vibrational energy transfer was a key property of chemical reactions that remains deeply understood. In this work, the detail information of vibrational energy transfer in aniline, N,N-dimethylaniline (DMA) and N,N-diethylaniline (DEA) were studied by femtosecond time-resolved coherent anti-Stokes Raman scattering (CARS) spectroscopy, respectively. Low frequency modes of aniline, DMA and DEA were collectively excited and beats arising from vibrational couplings among these modes were described. With analysis of vibrational coupling, energy transfer flow from one mode to another was visualized. An investigation into the molecular structure and vibrational couplings can be found that vibrational energy transfer is related to vibrational mode symmetry. In addition, substituent groups play an important role in vibrational coupling and energy transfer of aniline, DMA and DEA. A decrease of the number of substituent vibrational modes involved in coupling and energy transfer with the increase of the amount of hydrogen atoms in substituent groups was found out. © 2023, The Authors. All rights reserved.

关键词： Aniline

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A Numerical solution of the linear elasticity problem using the FEM 2

A Numerical solution of the linear elasticity problem using ...

引用

2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Abdelhamid, Talaat Chen, Rongliang Alam, Md. Mahbub Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen518055 China Physics and Mathematical Engineering Department Faculty of Electronic Engineering Menoufiya University Menouf Egypt Harbin Institute of Technology Center for Turbulence and Control Shenzhen518055 China

ISBN: (纸本)9781665418423

The numerical solution of the 2D linear elasticity problem numerically from the given body and traction forces, Poisson ratio, and Young's modulus is investigated. A continuous linear finite element method is adapted to solve the forward elasticity problem when Young's modulus is defined as variable valued function. The body's deformation is approximated by applying an approximation of the plane stress condition. We have studied the convergence analysis of the proposed linear elasticity problem. A numerical example presents the worthiness of the proposed technique. © 2021 IEEE.

关键词： Finite element method

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