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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Huang, Wenli Liu, Bowen Sun, Fang Wang, Shuang Communication University of China State Key Laboratory of Media Convergence and Communication 100024 China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China 100024 China Beijing Key Laboratory of Modern Entertainment Technology Communication University of China 100024 China

ISBN: (纸本)9798350380347

The creation of Chinese dance dramas plays an important role in the dissemination of Chinese culture in the context of pluralistic unity. As one of the outstanding poetry dramas in the past two years, 'The Journey of a Legendary Landscape Painting' (JLLP) has rich national cultural connotations and aesthetic value in its stage costume colors. This article first studied the data extraction method of stage costume colors based on clustering and association rule mining, and constructed the color dataset for JLLP. On this basis, the color semantic mining and extraction including subjective and objective factors were conducted. Finally, combined with color semantics, the character personality of JLLP was further analyzed. The research results show that the color extraction method designed in this article can accurately preserve the color characteristics of stage costumes. In addition, the costume colors of JLLP play a good supporting role in shaping the character personality. © 2024 IEEE.

关键词： Semantics

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Online Queue-Aware Service Migration and Resource Allocation in Mobile Edge Computing

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 8063-8078页

作者： Du, An Jia, Jie Chen, Jian Wang, Xingwei Huang, Min Northeastern University School of Computer Science and Engineering The Engineering Research Center of Security Technology of Complex Network System Shenyang110819 China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China Northeastern University College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

Mobile edge computing (MEC) integrated with Network Functions Virtualization (NFV) helps run a wide range of services implemented by Virtual Network Functions (VNFs) deployed at MEC networks. This emerging paradigm offers flexible edge resource management for Internet Service Providers (ISPs) and improves service satisfaction of diverse applications. However, a critical challenge lies in processing extremely unpredictable and bursty traffic flow, especially in event-trigger sensing tasks. In this paper, we study queue-aware service migration and resource allocation in an MEC network, where different devices with different arrival patterns request different network services. To this end, we first formulate a novel long-term operation cost minimization problem subject to the stability of multiple queues by adopting a simultaneous migration scheme and determining resource allocation dynamically. To address the problem efficiently, we propose an online control framework to make decisions without any prior system *** first adopt the Lyapunov optimization technique to decompose the long-term optimization problem into multiper-slot subproblems. Then, we adopt a decoupled optimization algorithm based on the coordinate descent method and augmented Lagrangian method to solve the offline mixed integer non-linear programming (MINLP) subproblems. Extensive results reveal that the proposed online optimization framework can efficiently balance queue stability and cost consumption. © 1967-2012 IEEE.

关键词： Mobile edge computing

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Shipping Economics Development:A Review from the Perspective of the Shipping Industry Chain for the Past Four Decades

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Journal of Shanghai Jiaotong university(Science) 2022年第3期27卷 424-436页

作者： XIA Qiliang CHEN Feier State Key Laboratory of Ocean Engineering School of Naval ArchitectureOcean and Civil EngineeringKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

To know the development of shipping economics,it is meaningful to overview shipping economics systemically from the perspective of markets and the shipping industry *** stimulate future research,this article presents an introduction to the evolution of research models including static models,dynamic models and networks theory,the characteristics of shipping markets including volatility,seasonal and market cycle,and a comprehensive review of the development of shipping economics in the past four *** review shipping economics in the following steps:single market’s research is generalized including the freight market,financial market including FFA market and investment market,shipbuilding market,and secondhand market;two markets’correlation,information transmission,spillover effects,and other rules in shipping markets are surveyed;the correlation and risk of multi-markets are also ***,we summarize relationships of the shipping industry ***,we figure out issues in this field that need further study.

关键词： shipping economics market characteristics single market shipping industry chain

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A review of structures,verification,and calibration technologies of space robotic systems for on-orbit servicing

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Science China(Technological Sciences) 2021年第3期64卷 462-480页

作者： DING XiLun WANG YeCong WANG YaoBing XU Kun Robotics Institute Beihang UniversityBeijing 100191China Beijing Institute of Spacecraft System Engineering Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and ApplicationsBeijing 100094China

Recently,with the rapid development of aerospace technology,an increasing number of spacecraft is being launched into ***,the demands for on-orbit servicing(OOS)missions are rapidly *** robotics is one of the most promising approaches for various OOS missions;thus,research on space robotics technologies for OOS has attracted increased attention from space agencies and universities *** this paper,we review the structures,ground verification,and onorbit kinematics calibration technologies of space robotic systems for ***,we systematically summarize the development of space robotic systems and OOS programs based on space ***,according to the structures and applications,these systems are divided into three categories:large space manipulators,humanoid space robots,and small space *** to the capture mechanisms adopted,the end-effectors are systematically ***,the ground verification facilities used to simulate a microgravity environment are summarized and ***,the on-orbit kinematics calibration technologies are discussed and analyzed compared with the kinematics calibration technologies of industrial manipulators with regard to four ***,the development trends of the structures,verification,and calibration technologies are discussed to extend this review work.

关键词： space robotic system on-orbit servicing large space manipulator humanoid space robot verification kinematics calibration

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Wind and wave prediction based on multi-task learning 34th

Wind and wave prediction based on multi-task learning

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34th International Ocean and Polar Engineering Conference, ISOPE 2024

作者： Fu, Zhu Chen, Li Chen, Weimin State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of Marine Intelligent Equipment and System Ministry of Education Shanghai Jiao Tong University Shanghai China State Key Laboratory of Maritime Technology and Safety Shanghai Ship and Shipping Research Institute Co. Ltd Shanghai China

ISBN: (纸本)9781880653784

Accurate prediction of amplitude and direction of wind and wave is important for ocean and coastal engineering, such as ship weather routing and offshore wind farm maintenance. Traditional wind prediction and wave prediction are considered as two independent tasks in their respective fields. However, they are two related tasks, and separate prediction would result in redundant training and high computation cost. In order to solve this problem, a multi-task learning (MTL) model is proposed for wind and wave simultaneous prediction in this paper. To balance the individual loss functions for different tasks, a dynamic weight adjustment method is utilized to attain the optimal multi-task loss function weight. Finally, the proposed model is verified at a coastal location in the North Atlantic Ocean. The results show that compared with single-task learning (STL) model, the computation cost of MTL decreases by 52.9%, the storage size of MTL model decreases by 31.7%, and the MTL model can achieve the same predictive performance. © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Learning systems

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Source Separation of Piano Concertos Using Hybrid LSTM-Transformer Model

Source Separation of Piano Concertos Using Hybrid LSTM-Trans...

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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Liu, JingYu He, Wei Zhou, Jingjing Jiang, Wei State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China School of Information and Communication Engineering Communication University of China Beijing China

ISBN: (纸本)9798350380347

Music source separation, the process of extracting independent audio streams from a complex mix, has traditionally focused on isolating vocals, drums, bass, and other primary sources. This study tackles the more intricate task of separating the piano component from a piano concerto-a challenge compounded by the diverse range of instruments and the dynamic shifts in volume and timbre. Unlike traditional music separation tasks, the piano's distinct characteristics and its interaction with the orchestra demand a more nuanced *** address the scarcity of multi-track recordings for piano concertos, this research pioneers an artificial data synthesis strategy to create a robust training dataset. We introduce a novel hybrid deep learning model that integrates Long Short-Term Memory (LSTM) networks with Transformer architecture, capitalizing on their complementary strengths to distinguish piano melodies from the rich tapestry of orchestral sounds. Our experiments demonstrate that this hybrid approach significantly outperforms conventional methods, with an improvement of 3.18 dB in signal-to-distortion ratio. These results not only validate the efficacy of proposed method but also pave the way for innovative applications in classical music source separation. © 2024 IEEE.

关键词： Source separation

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Critical band-to-band-tunnelling based optoelectronic memory

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Light(Science & Applications) 2025年第3期14卷 757-766页

作者： Hangyu xu Runzhang Xie Jinshui Miao Zhenhan Zhang Haonan Ge Xumina Shi Min Luo Jinjin Wang Tangxin Li Xiao Fu Johnny CHo Peng Zhou Fang Wang Weida Hu State Key Laboratory of Infrared Physics Shanghai Institute of Technical PhysicsChinese Academy of Sciences500 Yu Tian Road200083ShanghaiChina University of Chinese Academy of Sciences BeijingChina ASIC&System State Key Laboratory School of MicroelectronicsFudan UniversityShanghaiChina Shanghai Research Institute for Intelligent Autonomous Systems Tongji University200092ShanghaiChina Department of Materials Science and Engineering and State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongKowloon TongHong Kong SARChina

Neuromorphic vision hardware,embedded with multiple functions,has recently emerged as a potent platform for machine *** realize memory in sensor functions,reconfigurable and non-volatile manipulation of photocarriers is highly ***,previous technologies bear mechanism challenges,such as the ambiguous optoelectronic memory mechanism and high potential barrier,resulting in a limited response speed and a high operating ***,for the first time,we propose a critical band-to-band tunnelling(BTBT)based device that combines sensing,integration and memory *** nearly infinitesimal barrier facilitates the tunnelling process,resulting in a broadband application range(94o nm).Furthermore,the observation of dual negative differential resistance(NDR)points confirms that the critical BTBT of photocarriers contributes to the sub-microsecond photomemory *** the photomemory speed,with no motion blur,is important for motion detection,the critical BTBT memory is expected to enable moving target tracking and recognition,underscoring its superiority in intelligentperception.

关键词： photocarrier manipulation optoelectronic memory mechanism machine visionto photomemory speed optoelectronic memory critical band band tunnelling neuromorphic vision hardware negative differential resistance

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A Simulation Model for Mechanism Analysis of Interoperation in Road Autonomous Transportation system

A Simulation Model for Mechanism Analysis of Interoperation ...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Liu, Yanyue Zhang, Yipeng Li, Zhenhua ITS Center Research Institute of Highway Ministry of Transport Beijing100088 China State Key Laboratory of Intelligent Transportation System Research Institute of Highway Ministry of Transport Beijing100088 China

ISBN: (纸本)9789819639649

This paper proposed a simulation model for analyzing interoperation process of road autonomous transportation system. First, an interoperation simulation model built with complex network theory is proposed. In the model, vehicles and infrastructures are modeled as nodes of graph. Then, a network evolution model based on random graph theory is proposed. The network evolution model aims to create interoperation topology between vehicles and infrastructures. An autonomous level transition algorithm is subsequently proposed. In the algorithm, interoperation and information sharing is considered as key components of influencing autonomous level, where age of Information (AoI) is the pivot indicator of validity of the shared information. The paper conducts a case study in highway scenario for validating effectiveness of the model. In the case study, the proposed model is further utilized to analyze the pathway for upgrading autonomous level via interoperation. The result of case study showcases the proposed model can characterize relationships of interoperation and autonomous level. The proposed model offering a theoretical basis for foundation of interoperation link in road autonomous transportation system. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Autonomous vehicles

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LLM-Enhanced Reinforcement Learning for Traffic Control at On-Ramp Merging Areas

LLM-Enhanced Reinforcement Learning for Traffic Control at O...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Yin, Qihao Xiong, Zhengang Liu, Yanyue ITS Center Research Institute of Highway Ministry of Transport Beijing100088 China State Key Laboratory of Intelligent Transportation System Research Institute of Highway Ministry of Transport Beijing100088 China

ISBN: (纸本)9789819639649

The on-ramp merging area plays an important role in improving the overall safety and efficiency of the traffic. At present, the widely used ramp merging control methods are mostly based on reinforcement learning (RL), but these methods may make erroneous decisions due to bad generalization ability, potentially jeopardizing traffic efficiency and safety under unseen scenarios. Noticing the great success of large language models (LLMs) on other domain, this paper proposes a novel method based on LLM-enhanced RL agent for traffic control at on-ramp merging areas. Specifically, the proposed method utilizes RL agents to make initial actions based on surrounding environment, after that, an LLM model refines these decisions by the designed prompt and chain of thoughts. Experiment results show that the proposed method outperforms the other methods for on-ramp merging, with a promotion of about 14% on average speed of involved vehicles, and the promotion becomes 22.1% under severe dense traffic conditions. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Deep reinforcement learning

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Design of 3D-printed Cable Driven Humanoid Hand Based on Bidirectional Elastomeric Passive Transmission

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Chinese Journal of Mechanical Engineering 2021年第4期34卷 225-235页

作者： Teru Chen Xingwei Zhao Guocai Ma Bo Tao Zhouping Yin State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Motion control of the human hand is the most complex part of the human *** has always been a challenge for a good balance between the cost,weight,responding speed,grasping force,finger extension,and dexterity of prosthetic *** solve these issues,a 3D-printed cable driven humanoid hand based on bidirectional elastomeric passive transmission(BEPT)is designed in this paper.A semi-static model of BEPT is investigated based on energy conservation law to analyze the mechanical properties of BEPT and a dynamical simulation of finger grasping is *** a good imitation of human hand and an excellent grasping performance,specific BEPT is selected according to human finger grasping *** advantage of BEPT based humanoid hand is that a good balance between the price and performance of the humanoid hand is *** proved that the designed prosthetic hand’s single fingertip force can reach 33 N and the fastest fingertip grasping speed realized 0.6 s/180°.It also has a good force compliance effect with only 430g’s *** can not only grab fragile objects like raw eggs and paper cup,but also achieve strong grasping force to damage metal *** humanoid hand has considerable application prospects in artificial prosthesis,human-computer interaction,and robot operation.

关键词： Humanoid hand Bidirectional elastomeric passive transmission Artificial prosthesis

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