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2024 IEEE International Conference on Unmanned Systems, ICUS 2024

作者： Luo, Chuang Zhang, Qin Li, Shuxin Chai, Hui Xu, Wei Wang, Kang School of Electrical Engineering University of Jinan Jinan China School of Control Science and Engineering Shandong University Jinan China China North Artificial Intelligence and Innovation Research Institute Beijing China

ISBN: (纸本)9798350384185

To improve quadrupedal robots' movement diversity and capacity to learn a wide range of behavioral skills, a quadrupedal robot behavior generation method based on 3D animation software and imitation learning is proposed. First, 3D animation software is used to provide expert experience of feasible control strategies for specific task skills;then, a motion skill optimization method based on imitation learning algorithm is designed to achieve the optimization of the designed actions. Experiments conducted on simulation and physical prototypes demonstrate that the Panda5 quadruped robot can perform extremely dynamic and agile behaviors like hopping in place and trot in place, verifying the efficacy of the method provided in this work. © 2024 IEEE.

关键词： Multipurpose robots

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Descriptive Algorithmic Schemes as Image Analysis Machine Programs 26th

Descriptive Algorithmic Schemes as Image Analysis Machine Pr...

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26th International Conference on Pattern Recognition, ICPR 2022

作者： Gurevich, Igor Yashina, Vera Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Building 2 44 Vavilov Street Moscow119333 Russia

ISBN: (纸本)9783031377419

This article is continued description of an original approach to the definition and description of a Turing machine (TM) for implementing descriptive image analysis methods based on an information structure for generating descriptive algorithmic schemes for automating image analysis. The fundamental problem, to which the subject of the study belongs, is the automation of extracting information from images that is necessary for making intelligent decisions. One of the important and promising areas of research in this problem is the automation of the choice of a method for solving the problem of image analysis. A necessary condition for such automation is a comparative analysis and optimization of the image analysis algorithms, which, in turn, requires estimates of the complexity and efficiency of algorithms and a universal calculator to obtain them. One of the strategic goals for the development of descriptive image analysis is the study of models of image analysis processes. To do this, it is proposed to define and build an ‘‘Image Analysis Machine,’’ i.e., TMs specialized for processing spatial information. A method for determining a TM for modeling descriptive algorithmic schemes for image analysis is proposed and described. This machine can also be used to evaluate the mathematical characteristics of image analysis algorithms. © 2023, Springer Nature Switzerland AG.

关键词： Turing machines

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Decision Support System for Multi-criteria Information-Logical Analysis of Scientific and Technical Projects of Innovative Enterprises 6th

Decision Support System for Multi-criteria Information-Logic...

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6th Computational Methods in Systems and Software, CoMeSySo 2022

作者： Kuznetsova, A.S. Kulikova, Y.V. Rozaliev, V.L. Pronichkin, S.V. Kasymov, O.K. Volgograd State Technical University Volgograd Russia Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031214349

The search for effective approaches to the analysis of scientific and technical projects, taking into account the conditions for the development of a modern competitive environment, is one of the main tasks of managing innovative enterprises. The determining factor in the effective functioning of the organizational and economic mechanism of scientific research and development is the successful operation of all its constituent elements. A decision support system has been developed that implements a conceptual model of the organizational and economic mechanism for evaluating scientific and technical projects. For multi-criteria information-logical analysis of scientific and technical projects, it is proposed to use technical and organizational subsystems on multisets of binary relations. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision making Knowledge economy Scientific research System approach

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Mitigating household air pollution exposure through kitchen renovation

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Environmental science and Ecotechnology 2025年第1期23卷 175-182页

作者： Yatai Men Ke Jiang Yaoji Li Ran Xing Zhihan Luo Tianyao Huang Shuyu Ou'yang Wei Du Yuanchen Chen Guofeng Shen MOE Key Lab for Earth Surface Process College of Urban and Environmental SciencesPeking UniversityBeijing100871China Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science&EngineeringKunming University of Science&TechnologyKunming650500China Southwest United Graduate School Kunming650092China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Research Center of Environmental ScienceZhejiang University of TechnologyHangzhou310032China Institute of Carbon Neutrality Peking UniversityBeijing100871China

Globally,over three billion people rely on traditional solid fuels for cooking and heating,leading to significant household air pollution and critical public health *** transitioning to clean energy carriers faces challenges of accessibility and affordabilitydespecially among low-income,rural populationsdalternative strategies like kitchen layout modifications and the use of ventilation fans may effectively reduce exposure to ***,we analyze factors influencing the adoption of separated kitchens and mechanical ventilation and evaluate changes in human exposure to PM2.5 under different kitchen renovation scenarios by conducting a nationwide survey of household kitchen characteristics in rural *** found that although 82%of rural households have kitchens separated from other rooms,only 34%use mechanical *** adoption of ventilation fans is significantly influenced by income and education *** estimate that widespread implementation of ventilation fans and separated kitchen designs could prevent approximately 67400 premature deaths annually,resulting in a health benefit of about USD 19 billion per yeardsubstantially exceeding the costs *** findings suggest that cost-effective kitchen renovations offer enormous potential for substantial health benefits and present a practical solution compared to the challenges of clean energy transitions in rural areas.

关键词： Separating kitchen Mechanical ventilation Household air pollution Health benefits

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New Method for Automating the Diagnostic Analysis of Human Fundus Images Produced by Optical Coherent Tomography Angiography. research and Software Kit Realization 26th

New Method for Automating the Diagnostic Analysis of Human F...

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26th International Conference on Pattern Recognition, ICPR 2022

作者： Gurevich, I.B. Yashina, V.V. Tleubaev, A.T. Federal Research Center "Computer Science and Control" Russian Academy of Sciences Building 2 44 Vavilov street Moscow119333 Russia

ISBN: (纸本)9783031377419

This article presents the results of the joint work of specialists in the field of image analysis and ophthalmologists on the task of analyzing images obtained by the method of optical coherence tomography angiography. A descriptive algorithmic scheme for analyzing images obtained using optical coherence tomography angiography is built to automate the detection of pathological changes in the morphometric characteristics of the fundus. The algorithmic scheme is based on the methods of image processing, analysis, and recognition. The previously developed feature space is supplemented and modified, based on which it is possible to identify pathological changes in the structure of the choroid plexuses of the human retina. It was possible to improve the accuracy of classifying images of healthy and pathological eyes, as well as significantly increasing the accuracy of classification of borderline cases. Software is created that makes it possible to accurately carry out differential diagnostics of the normal state of vessels from the pathological one in the offline mode, which increases its diagnostic value. It is planned to achieve higher classification accuracy results for all three cases. © 2023, Springer Nature Switzerland AG.

关键词： Ophthalmology

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A General Method for Power Equipment State Classification Using Time Series Data Based on Attention Mechanism

A General Method for Power Equipment State Classification Us...

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2023 IEEE International Conference on Power science and Technology, ICPST 2023

作者： Zhao, Wenqing Wang, Jifa Chen, Rui Liu, Liang Xu, Lijiao North China Electric Power University School of Control and Computer Engineering Engineering Research Center of Intelligent Computing for Complex Energy Systems Ministry of Education Baoding China North China Electric Power University School of Control and Computer Engineering Baoding China

ISBN: (纸本)9798350311358

With refinement of power equipment, the identification and classification of its operation states is quite important for the stable operation of the system. As the power equipment states are rather complicated, it is difficult to realize general classification due to the limitation of data types and model characteristics when using deep learning. In the light of this, based on the time series data of various power equipment, an equipment state classification method is proposed by combining Recurrent Neural Network (RNN), Long short-term memory (LSTM) and attention mechanism. Firstly, RNN is used as the bottom frame network, and the LSTM core network integrating attention mechanism is added to construct the complex Feature Extraction Module (FEM). Secondly, main feature extraction is implemented in the LSTM network integrated with attention mechanism. Then, the extracted features are input into the complex FEM model and trained to match the evaluation state and obtain the evaluation results. In this paper, confusion matrix, F1micro and accuracy are used as evaluation indexes. Three cases were selected to verify the method and five groups of comparison models were set for each case. Results show that the proposed method has good accuracy in power equipment state classification and also has strong generalization ability in other data classification. © 2023 IEEE.

关键词： Long short-term memory

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Polygon formation of multiple nonholonomic mobile robots with double-level-control collision avoidance scheme

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Journal of control and Decision 2023年第3期10卷 301-313页

作者： A.Widyotriatmo E.Joelianto A.M.Burohman J.J.Damanik Y.Y.Nazaruddin Instrumentation and control research group faculty of industrial technologyinstitut teknologi bandungbandungindonesia engineering and technology institute groningen university of groningengroningenthe netherlands caerospace engineering korea advanced institute of science and technologydaejeonsouth korea

This paper considers a polygon formation control of multiple robots with nonholonomic constraintsenclosing a goal target and double-level-control collision avoidance scheme. Doublelevel-control scheme consisted of upper-level and lower-level controls are proposed for trajectorygeneration and tracking control of multi-robot systems. Both upper-level and lower-levelcontrols operate collision avoidance mechanisms based on potential functions. The proposedcontrol scheme guarantees that the group of robots are kept in the polygon formation and drivento a goal, while avoiding collisions during the travel. Moreover, the designed interaction betweenthe upper- and lower-level controls guarantees that the mobile robots are not trapped in localminima or deadlock case. Experiments of the formation of three-robots are conducted to showthe performance of the mobile robots in accomplishing a polygon formation while achieving thegoal without any collision and no local minima.

关键词： Artificial potential function collision avoidance formation control multi-robot systems polygon formation

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Physics-based model for boundary layer transition prediction in a wide speed range

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Chinese Journal of Aeronautics 2022年第9期35卷 143-159页

作者： Zaijie LIU Yuhan LU Sheng WANG Qiang WANG Chao YAN School of Aeronautic Science and Engineering Beihang UniversityBeijing 100083 China Research Institute of Navigation and Control Technology Beijing 100089China China Academy of Aerospace Aerodynamics Beijing 100074China

A new physics-based model employing three transport equations is developed for the simulation of boundary layer transitions in a wide speed range. The laminar kinetic energy is used to represent pretransitional streamwise velocity fluctuations, taking account of different instability modes. The fluctuation velocity components normal to the streamwise direction are modeled by another transport equation. Transition is triggered automatically with the development of the pretransitional velocity fluctuations. In the fully turbulent region, the model reverts to the k-ω turbulence model. Different test cases, including subsonic, supersonic and hypersonic flows around flat plates, airfoils and straight cones, are numerically simulated to validate the performance of the model. The results demonstrate the excellent predictive capabilities of the model in different paths of transition. The model can serve as a basis for the extension of additional transition mechanisms,such as rotation and curvature effects, roughness-induced transition and crossflow-induced transition.

关键词： Boundary layer High-speed Physics-based Transition model Transitional flow

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Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第9期5卷 4620-4634页

作者： Wang, Yan Sun, Xiaoyan Zhang, Yong Gong, Dunwei Hu, Hejuan Zuo, Mingcheng China University of Mining and Technology School of Information and Control Engineering Jiangsu Xuzhou221116 China Qingdao University of Science and Technology College of Automation and Electronic Engineering Shandong Qingdao266061 China China University of Mining and Technology Artificial Intelligence Research Institute Jiangsu Xuzhou221116 China

It is very challenging to autonomously generate algorithms suitable for constrained multiobjective optimization problems due to the diverse performance of existing algorithms. In this article, we propose a linear regression (LR)-based autonomous intelligent optimization method. It first extracts typical features of a constrained multiobjective optimization problem by focused sampling to form a feature vector. Then, a LR model is designed to learn the relationship between optimization problems and intelligent optimization algorithms (IOAs). Finally, the trained model autonomously generates a suitable IOA by inputting the feature vector. The proposed method is applied to six constrained multiobjective benchmark test sets with various characteristics and compared with seven popular optimization algorithms. The experimental results verify the effectiveness of the proposed method. In addition, the proposed method is used to solve the operation optimization problems of an integrated coal mine energy system, and the experimental results show its practicability. © 2020 IEEE.

关键词： Feature extraction

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Cellulose nanocrystals intercalated clay biocomposite for rapid Cr(VI) removal

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Environmental science and Pollution research 2024年第20期31卷 29719-29729页

作者： Deng, Zilong Wu, Zixuan Wu, Qin Yu, Junlei Zou, Chenglong Deng, Huali Jin, Pingliang Fang, Donglu State Key Laboratory for Pollution Control School of Environmental Science and Engineering Shanghai Institute of Pollution Control and Ecological Security Tongji University 1239 Siping Road Shanghai200092 China Co-Innovation Center for Sustainable Forestry in Southern China College of Forestry Nanjing Forestry University Jiangsu Nanjing210037 China School of Civil Engineering and Architecture East China Jiaotong University Nanchang330013 China Shanghai Dongfang Guochuang Advanced Textile Innovation Center Co. Ltd Shanghai Textile Science Research Institute Co. Ltd Shanghai200082 China Food Inspection and Testing Research Institute of Jiangxi General Institute of Testing and Certification Jiangxi Nanchang330046 China

The application of bentonite (Bt) as an adsorbent for heavy metals has been limited due to its hydrophobicity and insufficient surface area. Herein, we present cellulose nanocrystal (CNC) modified Bt composite (CNC@Bt) with enhanced efficiency for Cr(VI) removal. CNC@Bt exhibited an increased specific surface area and a porous structure, while maintaining the original crystal structure of Bt. This was achieved through a synergistic function of ion exchange, hydrogen bonding, electrostatic interactions, and steric hindrance. The adsorption of Cr(VI) by CNC@Bt followed the pseudo-second-order kinetic and Langmuir isotherm adsorption model. Moreover, the process was endothermic and spontaneous. At an initial Cr(VI) concentration of 20 mg/L and pH = 4.0, 10 g/L CNC@Bt achieved a removal rate of 92.7%, and the adsorption capacity was 1.85 mg/g, significantly higher than bare Bt (37.9% and 0.76 mg/g). The removal efficiency remained consistently above 80% over a wide pH range, indicating the potential practical applicability of CNC@Bt. With its fast adsorption rate, pH adaptability, and stable performance, CNC@Bt presents promising prospects for the rapid treatment of Cr-contaminated wastewater. Graphical Abstract: (Figure presented.) © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Adsorption

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