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ChemSystemsChem 2025年第3期7卷

作者： Prof. Dr. Shogo Hamada Dr. Hironori Sugiyama Prof. Dr. Yiting Zhang Prof. Dr. Shoji Iwabuchi Soichiro Hiroi Toshiki Maruyama Yuktesh Balaji Sota Kumagai Prof. Dr. Satoshi Murata Prof. Dr. Taro Toyota Department of Computer Science School of Computing & Department of Systems and Control Engineering School of Engineering Institute of Science Tokyo 4259 Nagatsuta-cho Midori-ku Yokohama-city Kanagawa 226-8501 Japan These authors contributed equally. Department of Applied Chemistry Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Department of Chemistry College of Science Rikkyo University 3-34-1 Nishi-Ikebukuro Toshima-ku Tokyo 171-8501 Japan Department of Biotechnology and Life Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo 185-8588 Japan Department of Basic Science Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo 153-8902 Japan Department of Robotics Graduate School of Engineering Tohoku University 6-6-01 Aramaki-Aza Aoba Aoba-ku Sendai Miyagi 980-8579 Japan Universal Biology Institute The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan

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Improvement of air-cooling unit and its perspective in China

Improvement of air-cooling unit and its perspective in China

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International Conference on Electronics, Communications and control (ICECC)

作者： Peng Ran Song-ling Wang Shu-fang Zhang School of Control Science & Computer Engineering North China Electric Power University Baoding China School of Energy & Power Engineering North China Electric Power University Baoding China

Three kinds of air-cooling systems and their technical features have been described in this paper. Combined with the energy policy in our country, the perspective of air-cooling unit is discussed mainly in terms of coal-fired unit applied status, air cooling unit's development and our country's energy policy etc. And the matters needing attention and the needed taken measures in the conscientions improvement of air-cooling unit by the power enterprises are put forward.

关键词： Educational institutions Power systems Cooling Power generation Presses computers Power measurement

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Development of a 5G-Enabled and AI-Powered Agricultural Picking Robot control Module

Development of a 5G-Enabled and AI-Powered Agricultural Pick...

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Applied Physics and Computing (ICAPC), International Conference on

作者： Jianxiang Yu Maher Maalla Allam Maalla School of Engineering Guangzhou College of Technology and Business Guangzhou Guangdong China School of Computer Technologies and Control ITMO University Saint Petersburg Russian Federation

The escalating challenges faced by the agricultural industry, characterized by labor shortages, and rising costs, underscore the imperative for innovative solutions. This study explores the transformative potential of Intelligent Harvesting Systems in revolutionizing fruit harvesting, with a focus on assessing feasibility and understanding implications within the fruit industry. The integration of cutting-edge technologies, specifically 5G communication and artificial intelligence (AI), plays a pivotal role in the design and evaluation of a control module for an agricultural picking robot. The feasibility assessment encompasses an in-depth exploration of the technological, economic, operational, and environmental. Experimental evaluations conducted in controlled environments and real-world settings showcase the system's high picking speed, accuracy, and adaptability to diverse produce sizes. The outcomes of this research not only align with the initial objectives of enhancing harvesting efficiency and reducing labor costs but also hold promise for a sustainable and resource-efficient agricultural future. The positive synergy between 5G communication and AI technology emerges as a driving force behind the system's exceptional performance. This study not only contributes to the immediate advancements in intelligent harvesting but also lays a robust foundation for continued innovation, setting the stage for further exploration and refinement in this dynamic field.

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Modeling and analyzing nano-rod pushing with an AFM

Modeling and analyzing nano-rod pushing with an AFM

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2010 10th IEEE Conference on Nanotechnology, NANO 2010

作者： Hou, Jing Wu, Chengdong Liu, Lianqing Wang, Zhidong Dong, Zaili Dept. of Electrical and Computer Engineering Northeastern University Shenyang 110004 China State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Dept. of Advanced Robotics Chiba Institute of Technology Chiba Japan School of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 China

ISBN: (纸本)9781424470334

In developing nano-devices and nano-structures, traditional methodologies on MEMS meet the difficulty from the scale restriction. With the strategy of objects assembly, using AFM to handle nano-rods and other nano-objects is considered as an important and high potential technology in constructing nanostructures. However most of AFM only has one tip as the end effector and cannot control both translational and rotational motions during manipulation, this makes it be difficult to realize posture controllable manipulation especially in nano environment. In this paper, the behavior of nano-rod under pushing is theoretically analyzed and modeled. Viscous friction is incorporated in the model and the two situations that the pivot of the nanorod is either inside or outside the rod are addressed. By modeling, the pivot can be determined at each manipulation in real time, and the pushing points can be planned to realize posture controllable manipulation by using nano-hand strategy which is inspired by stable pushing theory of object manipulation in macro world, and to improve the reliability and the precision of manipulation. ©2010 IEEE.

关键词： Nanorods

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Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks

Comparative Analysis of Interval Reachability for Robust Imp...

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IEEE Conference on Decision and control

作者： Alexander Davydov Saber Jafarpour Matthew Abate Francesco Bullo Samuel Coogan Center for Control Dynamical Systems and Computation University of California Santa Barbara School of Electrical and Computer Engineering Georgia Institute of Technology

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Implicit neural networks (INNs) are a class of learning models that use implicit algebraic equations as layers and have been shown to exhibit several notable benefits over traditional feedforward neural networks (FFNNs). In this paper, we use interval reachability analysis to study robustness of INNs and compare them with FFNNs. We first introduce the notion of tight inclusion function and use it to provide the tightest rectangular over-approximation of the neural network’s input-output map. We also show that tight inclusion functions lead to sharper robustness guarantees than the well-studied robustness measures of Lipschitz constants. Like exact Lipschitz constants, tight inclusions functions are computationally challenging to obtain, and thus we develop a framework based upon mixed monotonicity and contraction theory to estimate the tight inclusion functions for INNs. We show that our approach performs at least as well as, and generally better than, state-ofthe-art interval-bound propagation methods for INNs. Finally, we design a novel optimization problem for training robust INNs and we provide empirical evidence that suitably-trained INNs can be more robust than comparably-trained FFNNs.

关键词： Training Robustness Mathematical models Feedforward neural networks Computational efficiency Reachability analysis Optimization

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CamShift Guided Unscented Particle Filter for Image-based Object Tracking

CamShift Guided Unscented Particle Filter for Image-based Ob...

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2015 International Conference on Informatics, control and Automation(ICA 2015)

作者： Peerapong.T Usman.M Peng-qi GAO Ming SHEN Xiao-zhang GUO Da-tao YANG Huan-huan YU Wei-ping ZHOU Ming-guo SUN Wei-qiang WANG You ZHAO National Astronomical Observatories of Chinese Academy of Sciences(NAOC) School of Computer and Control Engineering University of Chinese Academy of Sciences (UCAS)

The Unscented Particle Filter and Cam Shift(Continuously adaptive mean shift) are two successful approaches for the object tracking in video surveillance systems. We focus on the tracking performance of both algorithms and explore more intrinsic relationship between Cam Shift and Unscented Particle Filter(CAMSGUPF). Our proposed algorithm provides better sampling by shifting samples to their neighboring modes, passing over the degeneracy problem, and involves fewer particles to maintain multiple hypotheses. We used the Root Mean Square Error(RMSE) to compare our algorithm with traditional "Cam Shift guided particle filter". Experimental results prove that our proposed algorithm has better performance than traditional method according to the degree of applicability.

关键词： Cam Shift Unscented particle filter Object tracking Video surveillance systems

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Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution

Global Rate-distortion Optimization of Video-based Point Clo...

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IEEE Workshop on Multimedia Signal Processing

作者： Hui Yuan Raouf Hamzaoui Ferrante Neri Shengxiang Yang Tingting Wang School of Engineering and Sustainable Development De Montfort University Leicester UK School of Control Science and Engineering Shandong University Ji’nan China School of Computer Science University of Nottingham Nottingham UK School of Computer Science and Informatics De Montfort University Leicester UK

ISBN: (纸本)9781665432894

In video-based point cloud compression (V-PCC), one geometry video and one color video are generated from a dynamic point cloud. Then, the two videos are compressed independently using a state-of-the-art video coder. In the Moving Picture Experts Group (MPEG) V-PCC test model, the quantization parameters for a given group of frames are constrained according to a fixed offset rule. For example, for the low-delay configuration, the difference between the quantization parameters of the first frame and the quantization parameters of the following frames in the same group is zero by default. We show that the rate-distortion performance of the V-PCC test model can be improved by lifting this constraint and considering the ratedistortion optimization problem as a multi-variable constrained combinatorial optimization problem where the variables are the quantization parameters of all frames. To solve the optimization problem, we use a variant of the differential evolution algorithm. Experimental results for the low-delay configuration show that our method can achieve a Bjøntegaard delta bitrate of up to -43.04% and more accurate rate control (average bitrate error to the target bitrate of 0.45% vs. 10.75%) compared to the state-of- the-art method, which optimizes the rate-distortion performance subject to the test model default offset rule. We also show that our optimization strategy can be used to improve the rate-distortion performance of two-dimensional video coders.

关键词： Point cloud compression Geometry Quantization (signal) Bit rate Rate-distortion Transform coding Color

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The Prediction of Hand, Foot and Mouth Disease (HFMD) with Multi-type Historical Data Based on LSTM

The Prediction of Hand, Foot and Mouth Disease (HFMD) with M...

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Cognitive Computing and Complex Data (ICCD), International Conference on the

作者： Zhong Zhang Guanyu Yang Yang Chen Tianjiao Ji Hongtu Liu Wenbo Xu School of Computer Science And Engineering Southeast University Nanjing China National Institute For Viral Desease Control And Prevention Beijing China

Hand-foot-mouth disease (HFMD) has gradually become prevalent in mainland China since the first official report in 2008. The incidence of HFMD is increasing among children mainly aged zero to five. Thus how to monitor and prevent HFMD is becoming an important public health challenge. This study aims to build a forecasting framework of HFMD for two Chinese cities, Chengdu in Sichuan Province and Guangdong in Guangzhou Province based on LSTM, by utilizing clinical data of HFMD, meteorological factors, and Baidu index data. Our method achieves significant results

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Wind Turbine Abnormal Data Identification Based on MKIF Model

Wind Turbine Abnormal Data Identification Based on MKIF Mode...

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Chinese control and Decision Conference, CCDC

作者： Bosong Liu Bing Zhao Peng Guo School of Control and Computer Engineering North China Electric Power University Beijing China State Key Laboratory of Wind Energy Equipment and Control Technology Beijing China

ISBN: (纸本)9781665478977

The identification of wind turbine abnormal data is the basis for subsequent wind power prediction and health assessment of wind turbine. This paper analyzes the characteristics of wind turbine abnormal data in detail, and designs the MKIF (Mini batch K Means-Isolation Forest) algorithm to realize the identification of abnormal data of wind turbine. The MKIF algorithm introduces Mini batch K Means clustering into the partition process of the Isolation Forest search tree, and use Silhouette Coefficient to supervise the number and location of the split nodes of the tree. The MKIF anomaly score is defined to describe the degree of isolation of the data, which can effectively identify and eliminate abnormal data and use normal data to establish the main power band. Taking the actual operating data of two wind turbines as an example, the effectiveness of the MKIF abnormal data identification algorithm is verified.

关键词： Clustering algorithms Forestry Wind power generation Prediction algorithms Data models Wind turbines Partitioning algorithms

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Formulation of Optimization Problems with Radiation Field Phases as Design Variables for Pattern Synthesis of Linear Antenna Arrays

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China Communications 2022年第12期19卷 86-100页

作者： Fei Zhao Jun He Sanyou Zeng Changhe Li Qinghui Xu Zhigao Zeng School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Science and Technology on Blind Signal Processing Laboratory Southwest Electronics and Telecommunication Technology Research InstituteChengdu 610041China School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China College of Computer Hunan University of TechnologyZhuzhou CityHunan Province412007China

Pattern synthesise of antenna arrays is usually complicated optimization problems,while evolutionary algorithms(EAs)are promising in solving these *** paper does not propose a new EA,but does construct a new form of optimization *** new optimization formulation has two differences from the common *** is the objective function is the field error between the desired and the designed,not the usual amplitude error between the desired and the *** difference is beneficial to decrease complexity in some *** second difference is that the design variables are changed as phases of desired radiation field within shaped-region,instead of excitation *** difference leads to the reduction of the number of design variables.A series of synthesis experiments including equally and unequally spaced linear arrays with different pattern shape requirements are applied,and the effectiveness and advantages of the proposed new optimization problems are *** results show that the proposing a new optimization formulation with less complexity is as significant as proposing a new algorithm.

关键词： pattern synthesis evolutionary algorithms linear antenna arrays

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