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IEEE Transactions on intelligent Vehicles 2024年

作者： Hu, Chuan Shi, Yingkui Ge, Sicheng Hu, Hongyu Zhao, Jing Zhang, Xi Intelligent Vehicle Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China Automotive Engineering Lab Department of Electromechanical Engineering University of Macau China

Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs), a dynamic model of quantitative trust level is proposed and applied to propose a trust-based trajectory tracking control of human-vehicle cooperating system. In this paper, three key contributions have been made: 1) the evolution mechanism of trust in shared steering control is studied and a quantitative trust model is established for the first time by constructing the deviation between actual performance and driver’s driving expectations in real-time;2) an improved model-free adaptive dynamic programming (MF-ADP) method is applied to describe the steering operations of AVs which can adjust its control policy on the basis of evaluated trust value through an adaptive weighing matrix in the cost function;3) a novel trust-based authority allocation policy is proposed in this work to dynamically assign control proportion between the driver and the autonomous driving system based on real-time trust level, aiming to enhance human-vehicle collaboration. High-fidelity Carsim-Simulink co-simulations are conducted under various velocity conditions to validate the rationality and effectiveness of proposed trust model and shared steering control policy. © 2024 IEEE.

关键词： Steering

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Study on Gene Splicing Site Recognition Based on Particle Swarm Optimization Twin Support Vector Machine Algorithm for Smart Healthcare

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Wireless Communications and Mobile Computing 2023年第1期2023卷

作者： Zhang, Fuquan Wang, Yiou Mei, Peng Dai, Aibing Wang, Bo Liu, Laiyang Xia, Yong Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350117 China Institute of Science and Technology Information Beijing Academy of Science and Technology Beijing100089 China Beijing100089 China Industrial Digital Finance Department Huaxia Bank Beijing100020 China Digital Performance and Simulation Technology Lab Beijing Institute of Technology Beijing100081 China Fuzhou Maternity and Child Health Care Hospital Fuzhou350005 China Fujian Medical University Fuzhou350122 China

Gene splicing site recognition is a very important research topic in smart healthcare. Gene splicing site recognition is of great significance, not only for the large-scale and high-quality computational annotation of genomes but also for the analysis and recognition of the gene sequences evolutionary process. It is urgent to study a reliable and effective algorithm for gene splice site recognition. Traditional Twin Support Vector Machine (TWSVM) algorithm has advantages in solving small-sample, nonlinear, and high-dimensional problems, but it cannot deal with parameter selection well. To avoid the blindness of parameter selection, particle swarm optimization algorithm was used to find the optimal parameters of twin support vector machine. Therefore, a Particle Swarm Optimization Twin Support Vector Machine (PSO-TWSVM) algorithm for gene splicing site recognition was proposed in this paper. The proposed algorithm was compared with traditional Support Vector Machine algorithm, TWSVM algorithm, and Least Squares Support Vector Machine algorithm. The comparison results show that the positive sample recognition rate, negative sample recognition rate, and correlation coefficient (CC) of the proposed algorithm are the best among the four different support vector machine algorithms. The proposed algorithm effectively improves the recognition rate and the accuracy of splice sites. The comparison experiments verify the feasibility of the proposed algorithm. © 2023 Fuquan Zhang et al.

关键词： Genes

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A chunk-based multi-strategy machine translation method 5th

A chunk-based multi-strategy machine translation method

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5th Euro-China Conference on intelligent Data Analysis and Applications, ECC 2018

作者： Wang, Yiou Zhang, Fuquan Beijing Institute of Science and Technology Information Beijing100044 China Digital Performance and Simulation Technology Lab School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China

ISBN: (纸本)9783030037659

In this paper, a chunk-based multi-strategy machine translation method is proposed. Firstly, an English-Chinese bilingual tree-bank is constructed. Then, a translation strategy based on the chunk that combines statistics and rules is used in the translation stage. Through hierarchical sub-chunks, the input sentence is divided into a set of chunk sequence. Each chunk searches the corresponding instance in the corpus. Translation is completed by recursive refinement from chunks to words. Conditional Random Fields model is used to divide chunks. An experimental English-Chinese translation system is deployed, and experimental results show that the system performs better than the Systran system. © Springer Nature Switzerland AG 2019.

关键词： Machine translation

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Regional coverage monitoring planning technology for multi-UAV based on pruning PSO 2nd

Regional coverage monitoring planning technology for multi-U...

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2nd International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2018

作者： Wang, KaiXuan Shen, YuTing Zhang, FuQuan Liang, Zhuo Song, ZhiGuo Pan, YanPeng China Academy of Launch Vehicle Technology Beijing100076 China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang050000 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China Digital Performance and Simulation Technology Lab School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783030045845

In recent years, with the application and gradual popularization of UAV technology in many fields, the normalization of UAV aerial photography has become a common phenomenon. There are few studies on Multi-UAV regional coverage monitoring. In this study, PSO algorithm based on pruning can be used to solve optimization problem, the multi-agent technology solve the problem of UAV group for self-perception and decision-making, the UAV group, namely multi-agent particles, can automatically initialize the perception agent particle whether meet the requirements of the iteration, whether to need to be pruned, and decide to optimize the iteration or increase the agent number, Finally, simulation verification shows that the optimized algorithm can finish the work faster under the premise of guaranteeing the effect. © Springer Nature Switzerland AG 2019.

关键词： Unmanned aerial vehicles (UAV)

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Review of intelligent computing application 1st

Review of intelligent computing application

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1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017

作者： Wang, Yiou Liu, Tianyuan Zhang, Fuquan Xu, Lin Ding, Gangyi Xiong, Rui Liu, Fei Beijing Institute of Science and Technology Information Beijing100044 China Carnegie Mellon University 5000 Forbes Avenue PittsburghPA15213 United States Digital Performance and Simulation Technology Lab. School of Software Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang Univeristy Fuzhou350121 China Innovative Information Industry Research Institute Fujian Normal University Fuzhou350300 China

ISBN: (纸本)9783319707297

intelligent computing systems can automatically sense environmental changes in the sensor network, make judgments and prediction on the environmental status in time, and provide response strategies in different environments, applying some technologies of pattern recognition, time series prediction and big data analytics. Nowadays, intelligent computing is successfully used in a lot of areas such as transportation, healthcare, home, performance and environmental monitoring. In this paper, the concept of intelligent computing is introduced. Then, the applications in different areas are discussed detailedly. Finally, the future of intelligent computing is analyzed and the conclusion is briefly given. © Springer International Publishing AG 2018.

关键词： Wireless sensor networks

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A novel approach for localization of an indoor autonomous mobile surveillance robot 11

A novel approach for localization of an indoor autonomous mo...

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2014 11th World Congress on intelligent control and Automation, WCICA 2014

作者： Jiang, Guolai Syed, Muhammad Umer Liu, Letian Ou, Yongsheng Xu, Yangsheng Malik, Muhammad Sarfaraz Chandio, Aftab Ahmed Center for Intelligent and Biomimetic Systems Institute of Advanced Integration Technology Chinese Academy of Sciences Guangdong China Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong Lab of Simulation and Intelligent Control University of Science and Technology of China Heife China Center for Cloud Computing Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China

ISBN: (纸本)9781479958252

Localization of an autonomous mobile robot has always been a topic of interest in Robotics community. The constraints of working under different environments are constantly a challenge in designing an efficient localization system. We propose a localization algorithm for a mobile robot, which will be used for home security. The objective is to perform indoor localization efficiently and keeping the cost as low as possible so as to make it commercializable. Here, we introduce an approach based on recognizing a pattern generated by laser pointers on the wall, which is captured by an infrared camera. The image of this pattern is used to locate the position of a robot in the room. The problem of working under black ceiling has been overcomed because the projection is on the wall and is moving which also increases the range of operation. As the pattern is unique, the interference of strong sunlight has also been fixed to some extent. Experimental results show that the proposed approach is effective in real environment and opens new doors for future research. © 2014 IEEE.

关键词： Indoor positioning systems

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A novel approach for localization of an indoor autonomous mobile surveillance robot

A novel approach for localization of an indoor autonomous mo...

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World Congress on intelligent control and Automation (WCICA)

作者： Guolai Jiang Muhammad Umer Syed Letian Liu Yongsheng Ou Yangsheng Xu Muhammad Sarfaraz Malik Aftab Ahmed Chandio Center for Intelligent and Biomimetic Systems Institute of Advanced Integration Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong China Center for Intelligent and Biomimetic Systems Institute of Advanced Integration Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong P. R. China The Chinese University of Hong Kong Hong Kong Lab of Simulation and Intelligent Control University of Science and Technology of China Heife Center for Cloud Computing Chinese Academy of Sciences

关键词： Charging stations Cameras Robot kinematics Mobile robots Robot vision systems

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Reinforcement learning control for ship steering using recursive least-squares algorithm

Reinforcement learning control for ship steering using recur...

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作者： Shen, Zhi-Peng Guo, Chen Yuan, Shi-Chun Lab. of Simulation and Control of Navigation Systems Dalian Maritime Univ. Dalian 116026 China State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing 100084 China

ISBN: (纸本)008045108X

Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squares methods is applied to ship steering control, as provides an efficient way for the improvement of ship steering control performance. It removes the defect that the conventional intelligent algorithm learning must be provided with some sample data. The parameters of controller are on-line learned and adjusted. simulation results show that the ship course can be properly controlled in case of the disturbances of wave, wind, current. It is demonstrated that the proposed algorithm is a promising alternative to conventional autopilots. Copyright © 2005 IFAC.

关键词： Learning algorithms

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REINFORCEMENT LEARNING control FOR SHIP STEERING USING RECURSIVE LEAST-SQUARES ALGORITHM

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IFAC Proceedings Volumes 2005年第1期38卷 133-138页

作者： Zhi-peng Shen Chen Guo Shi-chun Yuan Lab of Simulation and Control of Navigation Systems Dalian Maritime Univ. Dalian 116026 China State Key Laboratory of Intelligent Technology and system Tsinghua University Beijing 100084 China

关键词： Recursive squares methods Learning algorithm Action network Ship control simulation

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A development of interactive game "Ting Ting" using real and virtual objects

A development of interactive game "Ting Ting" using real and...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Si-Jung Kim Moon-Sung Jang Hong-Sic Kim Tae-Yong Kuc R & D Center Korea Visuals Corporation Seoul South Korea R&D Center Korea Visuals Corporation Gangnam-gu Seoul Korea Intelligent Control & Dynamic Simulation Lab. Sungkyunkwan University Suwon Kyungki-do Korea

ISBN: (纸本)0780385675

This paper presents an interactive virtual reality game using real and virtual objects with general beam projector and computer vision. We show how the computer recognizes the objects and makes the virtual objects move after detecting the real objects in the game space created by a beam projector. To achieve the goals, we developed two methods: find objects distance (FOD) method and find reflection angle (FRA) method. After detecting the real and virtual objects, the methods predict the next moving direction of virtual objects. This interactive virtual reality (VR) game is named as Ting" which contains various fire-shaped virtual objects and bamboo-shaped real objects. "Ting Ting" game's core technology can be used in various application area as an interactive communication engine. These include but are not limited to, for example, an education game in schools, or an entertainment application in museums and/or science halls.

关键词： Computer vision US Department of Transportation Object detection Optical reflection Virtual reality Application software Games Digital cameras Object recognition Computer displays

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