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Communication scheduling design of multi-agent system based on improved Greedy algorithm

AIP Conference Proceedings 2019年第1期2073卷

作者： Hao Zhu Xiaochun Zhu Ye Zhang 1Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of Technology Nanjing 211167 China

Based on the SIEMENS PLC control system, a multi agent system model of e workshop is established. The real-time data transmission problem and delay model are analyzed. On this basis, the traditional Greedy algorithm is improved and applied to multi Agent systems. The simulation results show that the algorithm can effectively improve the efficiency of system scheduling. The more tasks the system has, the longer the scheduling time saved.

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Research on interpolation of NURBS curve based on fractional power

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Journal of Physics: Conference Series 2020年第1期1633卷

作者： Hao Zhu Mulan Wang Baosheng Wang School of Communication Nanjing Institute of Technology Nanjing 211167 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing 211167 China

According to the problem of discontinuous of jerk and low rate of federate change in S-shape federate control method, a jerk-limited federate control scheme which reduces the shock to machine tool in interpolating is presented. The constraints are analyzed from the angle of bow height error and acceleration. The simulation result shows that this method can improve the feed speed faster, realize the smooth transition of acceleration, and reduce NURBS Flexible impact on machine tool during curve interpolation.

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Point spread function modelling for wide field small aperture telescopes with a denoising autoencoder

arXiv

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arXiv 2020年

作者： Jia, Peng Li, Xiyu Li, Zhengyang Wang, Weinan Cai, Dongmei College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China Nanjing Institute of Astronomical Optics and Technology CAS Nanjing Jiangsu210042 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Wuxi Internet of Innovation Center Company Limited Wuxi Jiangsu214135 China

The point spread function reflects the state of an optical telescope and it is important for data post-processing methods design. For wide field small aperture telescopes, the point spread function is hard to model, because it is affected by many different effects and has strong temporal and spatial variations. In this paper, we propose to use the denoising autoencoder, a type of deep neural network, to model the point spread function of wide field small aperture telescopes. The denoising autoencoder is a pure data based point spread function modelling method, which uses calibration data from real observations or numerical simulated results as point spread function templates. According to real observation conditions, different levels of random noise or aberrations are added to point spread function templates, making them as realizations of the point spread function, i.e., simulated star images. Then we train the denoising autoencoder with realizations and templates of the point spread function. After training, the denoising autoencoder learns the manifold space of the point spread function and can map any star images obtained by wide field small aperture telescopes directly to its point spread function, which could be used to design data post-processing or optical system alignment methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical transfer function

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Research on Predictive Functional control Based on Disturbance Observer for PMLSM Speed System 36

Research on Predictive Functional Control Based on Disturban...

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第36届中国控制会议

作者： Zhou Lei Lin Jian Huang Jia-cai School of Automation Nanjing Institute of Technology Jiangsu Key Laboratory of Advanced Numerical Control Technology

ISBN: (纸本)9781538629185

A predictive functional control method based on disturbance observer is proposed to improve the performance of the permanent magnet linear synchronous motor servo system,which is usually characterized by nonlinearity,uncertainty and *** disturbance observer is applied to estimate the disturbance in real time and then compensation current is produced to restrain the load disturbance in the speed *** simulation results show that the controller based on the disturbance observer and predictive functional controller can improve the response speed and steady-state accuracy of the *** the controller shows strong robustness and anti-disturbance,it can be used to effectively control the complex systems.

关键词： permanent magnet linear synchronous motor（PMLSM） disturbance observer predictive functional control（PFC）

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Biochar production, activation, and applications: A comprehensive technical review

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Carbon Capture Science & technology 2025年 16卷

作者： Lisa Mingzhe Sun Sean R. McIntyre Paul Iacomi Katie Everden Paul T. Williams Shuang Zong Xinying Liu Xiefei Zhu Yanke Yang Shuangjun Li Gang Wu Fei Huang Lina Liu Xiangzhou Yuan Huiyan Zhang Junjie Zhang Haiping Yang Wei Chen Hongman Sun Yang Cao Chunfei Wu Surface Measurement Systems Ltd. Alperton London HA0 4PE UK School of Chemical and Process Engineering University of Leeds Leeds LS2 9JT UK Institute for Catalysis and Energy Solutions University of South Africa Private Bag X6 FL Roodepoort 1709 South Africa Hebei Chemical & Pharmaceutical College No. 88 Fangxing Road Shijiazhuang Hebei Province China Sun Yat-sen University School of Advanced Energy Shenzhen Campus of Sun Yat-sen University No.66 Gongchang Road Guangming District Shenzhen Guangdong 518107 China Department of Chemical and Biological Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control School of Energy and Environment Southeast University Nanjing 210096 China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and Engineering Nankai University Tianjin 300350 China State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Wuhan 430074 China College of Engineering Nanjing Agricultural University No. 40 Dianjiangtai Road Nanjing Jiangsu Province 210031 China State Key Laboratory of Heavy Oil Processing College of Chemistry and Chemical Engineering China University of Petroleum Qingdao 266580 China School of Chemistry and Chemical Engineering Queen's University Belfast Belfast BT7 1NN UK

Our planet has been facing critical challenges since the late 20th century, including climate change, resource shortages, environmental degradation and pollution, demanding urgent and sustainable solutions. Biochar, a carbon-rich material produced via biomass pyrolysis, has gained attention for its great potentials in environmental remediation, pollutant removals, carbon neutrality, soil amendment, building materials, and etc. The performance of biochar in these applications is closely linked to its physicochemical properties, which are influenced by the feedstock and the preparation/activation methods. This paper reviews a wide range of biochar produced from various feedstocks, and the associated performance in different applications. advanced characterisations are discussed to unveil the fundamental mechanisms and provide insights for further improvement and optimization. The techno-economic analysis evaluates the feasibility, challenges, and opportunities for scaling up and adopting biochar in potential applications. By focusing on biochar's multifunctionality and sustainability, this paper provides a reference for future research on developing biochar as a green technology with environmental and economic benefits.

关键词： Biochar production Biochar characterisation Carbon neutrality Environmental remediation, Soil amendments Pollutant removal Techno-economic analysis

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Rail inspection system based on iGPS

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AIP Conference Proceedings 2018年第1期1967卷

作者： Xiaoyan Fu Mulan Wang Xiuping Wen 1Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of Technology Nanjing 211167 China 2Industria Center Nanjing Institute of Technology Nanjing 211167 China

Track parameters include gauge, super elevation, cross level and so on, which could be calculated through the three-dimensional coordinates of the track. The rail inspection system based on iGPS (indoor/infrared GPS) was composed of base station, receiver, rail inspection frame, wireless communication unit, display and control unit and data processing unit. With the continuous movement of the inspection frame, the system could accurately inspect the coordinates of rail; realize the intelligent detection and precision measurement. According to principle of angle intersection measurement, the inspection model was structured, and detection process was given.

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Combining spacetime stereo and phase-shift for fast 3D shape measurement 32

Combining spacetime stereo and phase-shift for fast 3D shape...

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32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017

作者： Wei, Bao Yuhua, Xu Mulan, Wang Hao, Zhu School of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing211167 China

ISBN: (纸本)9781538629017

In this paper we propose a method named spacetime stereo phase-shift for fast 3D shape measurement. It combines the advantages of the spacetime stereo approach and phase-shift approach. We first generate two different binary random patterns. In each projection cycle, four patterns including three phase-shift patterns and one binary random pattern are projected. In the two adjacent projection cycles, the two random patterns are switched alternatively, which is the main feature distinguishing the proposed approach with other approaches. As a result, we can use five image pairs for reconstruction without increasing the number of the patterns. Detailedly, we use the two image pairs of the random patterns (one of them is from the previous projection cycle) to establish the dense and subpixel-level correspondences by combining the wrapped phase maps from the three-step phase-shift method in the spacetime stereo framework. With an extra random pattern, the discrimination of the matching window can be enhanced greatly so that a simple local stereo matching method using the normalized cross correlation (NCC) can be utilized to acquire reliable matching. Experimental results show that the proposed method can improve the reconstruction results evidently. © 2017 IEEE.

关键词： Stereo image processing

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Ductal carcinoma in situ detection in breast thermography by extreme learning machine and combination of statistical measure and fractal dimension

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Journal of Ambient Intelligence and Humanized Computing 2017年 1-11页

作者： Wang, Shui-Hua Muhammad, Khan Phillips, Preetha Dong, Zhengchao Zhang, Yu-Dong Jiangsu Key Laboratory of Advanced Manufacturing Technology HuaiyinJiangsu223003 China School of Computer Science and Technology Henan Polytechnic University JiaozuoHenan454000 China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China College of Software Convergence Sejong University Seoul Korea Republic of Department of Informatics University of Leicester LeicesterLE1 7RH United Kingdom West Virginia School of Osteopathic Medicine 400 N Lee St LewisburgWV24901 United States Translational Imaging Division and MRI Unit Columbia University and New York State Psychiatric Institute New YorkNY10032 United States

Ductal carcinoma in situ (DCIS) is a severe breast disease. It generates little symptom and may be neglected in prodromal stage. In this study, we developed a novel DCIS detection method based on breast thermography, which can provide earlier alert than other exams. We created a 40 breast-thermogram dataset. We used six statistical measures, and we used fractal dimension to describe the texture measure. The extreme learning machine was used as the classifier. Our developed system yielded a sensitivity of 93.0 ± 2.6%, a specificity of 92.5 ± 2.6%, and an accuracy of 92.8 ± 1.8%. The extreme learning machine was better than support vector machine, artificial neural network, decision tree, and weighted k-nearest neighbors. Besides, our developed system was superior to six state-of-the-art approaches. © 2017 Springer-Verlag GmbH Germany, part of Springer Nature

关键词： Fractal dimension

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Tunable Quantum Spin Liquidity in the 1/6th-Filled Breathing Kagome Lattice

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Physical Review Letters 2018年第22期120卷 227201-227201页

作者： A. Akbari-Sharbaf R. Sinclair A. Verrier D. Ziat H. D. Zhou X. F. Sun J. A. Quilliam Institut Quantique and Département de Physique Université de Sherbrooke 2500 boulevard de l’Université Sherbrooke Québec J1K 2R1 Canada Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996-1200 USA Key Laboratory of Artificial Structures and Quantum Control Ministry of Education School of Physics and Astronomy Shanghai JiaoTong University Shanghai 200240 China Department of Physics Hefei National Laboratory for Physical Sciences at Microscale and Key Laboratory of Strongly-Coupled Quantum Matter Physics CAS University of Science and Technology of China Hefei Anhui 230026 People’s Republic of China Institute of Physical Science and Information Technology Anhui University Hefei Anhui 230601 People’s Republic of China Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing Jiangsu 210093 People’s Republic of China

We present measurements on a series of materials, Li2In1−xScxMo3O8, that can be described as a 1/6th-filled breathing kagome lattice. Substituting Sc for In generates chemical pressure which alters the breathing parameter nonmonotonically. Muon spin rotation experiments show that this chemical pressure tunes the system from antiferromagnetic long range order to a quantum spin liquid phase. A strong correlation with the breathing parameter implies that it is the dominant parameter controlling the level of magnetic frustration, with increased kagome symmetry generating the quantum spin liquid phase. Magnetic susceptibility measurements suggest that this is related to distinct types of charge order induced by changes in lattice symmetry, in line with the theory of Chen et al. [Phys. Rev. B 93, 245134 (2016)]. The specific heat for samples at intermediate Sc concentration, which have the minimum breathing parameter, show consistency with the predicted U(1) quantum spin liquid.

关键词： Antiferromagnetism Frustrated magnetism Magnetic phase transitions Magnetic susceptibility Quantum spin liquid Kagome lattice DC susceptibility measurements Muon spin resonance Specific heat measurements X-ray powder diffraction

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Swarm Intelligence Algorithm Inspired by Route Choice Behavior

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Journal of Bionic Engineering 2016年第4期13卷 669-678页

作者： Daxin Tian Junjie Hu Zhengguo Sheng Yunpeng Wang Jianming Ma Jian Wang Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing 1 O0191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing 210096 China Department of Engineering and Design University of Sussex Brighton BN1 9RH UK The Texas Department of Transportation Austin TX78750 USA College of Computer Science and Technology Jilin University Changchun 130012 China

Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary process. Travelers adjust their route choices to choose the best route, minimizing travel time and distance, or maximizing expressway use. Because route choice behavior is based on human beings, the most intelligent animals in the world, this swarm behavior is expected to in- corporate more intelligence. Unlike existing research in route choice behavior, the influence of other travelers is considered for updating route choices on account of the reality, which makes the route choice behavior from individual to swarm. Anew swarm intelligence algorithm inspired by travelers＇ route choice behavior for solving mathematical optimization problems is introduced in this paper. A comparison of the results of experiments with those of the classical global Particle Swarm Optimization （PSO） algorithm demonstrates the efficacy of the Route Choice Behavior Algorithm （RCBA）. The novel algorithm provides a new approach to solving complex problems and new avenues for the study of route choice behavior.

关键词： swarm intelligence route choice behavior particle swarm optimization mathematical optimization

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