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4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016

作者： Liu, Xuxun Xin, Hongyan College of Electronic and Information Engineering South China University of Technology Guangzhou510641 China Key Laboratory of Autonomous Systems and Network Control Ministry of Education South China University of Technology Guangzhou510641 China

ISBN: (纸本)9789811039652

Uneven clustering is one of the feasible methods for energy hole avoidance in a wireless sensor network (WSN). Usually all weight in clustering and routing, such as residual energy of a sensor, distance between different nodes, and so on, are invariable all the time. In fact, with the running of the network, the relative importance of all factors makes the change. A variable weight based clustering approach (VWCA) is composed in this paper for energy hole avoidance in WSNs. The characteristics of the paper are to adjust the weight of residual energy of a sensor and the distance between different nodes. Simulation results show that VWCA does better in energy hole avoidance among all sensor nodes and achieves an obvious improvement on the network lifetime. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Sensor nodes

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State-based control of process services within modular process plants

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Procedia CIRP 2018年 72卷 1088-1093页

作者： Henry Bloch Stephan Hensel Mario Hoernicke Katharina Stark Anna Menschner (neé Hahn) Alexander Fay Leon Urbas Torsten Knohl Jens Bernshausen Institute of Automation Technology Helmut-Schmidt-University Holstenhofweg 85 22043 Hamburg Germany Chair of Process Control Systems and Process Systems Engineering Group Technische Universität Dresden 01062 Dresden Germany ABB Corporate Research Opertions Management Wallstadter Straße 59 68526 Bayer AG 51386 Leverkusen Germany INVITE GmbH 51386 Leverkusen Germany

The modularization of process plants is an approach to cope with the changing requirements of the process industry, such as highly volatile markets and shorter product lifecycles. Each module offers services as encapsulated process functions to the superior control system for the orchestration. These services are controlled in a state-based way. The encapsulation of these services in a reasonable way is a difficult task, because aspects of process and automation engineering must be considered. This contribution introduces an approach for the encapsulation of process functions in services from an automation point of view. Furthermore, the operation modes of modules, services and field devices are discussed. Additionally, possible solutions for the orchestration based on recipe models are introduced. The developed concepts have been tested within a simulation environment.

关键词： Modular process automation Microservices Orchestration State-based control Operating modes Service-oriented architectures

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Output-feedback cascaded VFO-ADR tracking controller for autonomous rigid-body vehicles moving in a 3D space

Output-feedback cascaded VFO-ADR tracking controller for aut...

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International Workshop on Robot Motion and control (RoMoCo)

作者： Maciej Marcin Michałek Wojciech Adamski Chair of Control and Systems Engineering Poznań University of Technology (PUT) Poznań Poland

The paper presents a derivation of a cascaded control system for autonomous vehicles moving in a 3D space in the task of tracking a time-parametrized desired trajectory. For a purpose of an outer-loop (kinematic-level) control design one proposes to utilize the Vector Field Orientation (VFO) methodology which has been successfully applied and extensively tested so far in the area of wheeled mobile robots. Geometrical nature of the VFO approach leads to a non-oscillatory and fast-converging system response, and provides simple and intuitive tunning rules for a resultant controller. The inner loop (dynamic level) of a cascade is designed using a principle of Active Disturbance Rejection (ADR) which ensures robustness of the closed-loop system to modeling uncertainties of vehicle dynamics. Implementation of the proposed cascaded control law requires a feedback only from vehicle configuration variables (output-feedback). Performance of the proposed control system has been verified by simulations performed for the fully actuated as well as underactuated torpedo-like vehicles.

关键词： Trajectory Vehicle dynamics Kinematics control design Uncertainty Three-dimensional displays

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Seasonal Scheduling of Office Electricity Use via Adaptive Dynamic Programming

Seasonal Scheduling of Office Electricity Use via Adaptive D...

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Chinese control Conference (CCC)

作者： Guang Shi Bo Zhao Chao Li Xin Jin Derong Liu National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation Guangdong University of Technology Guangzhou China

In this paper, an adaptive dynamic programming (ADP) based optimization method is proposed to schedule the electricity use of an office, where a battery is considered as the control variable, while solar and wind energies are included as additional energy supplies besides the grid. The electricity demand of an office generally contains socket, lighting and air-conditioning demands. Based on the periodic models of electricity price, electricity demand, and solar and wind energies, the optimal control strategies of the battery are determined by the proposed ADP based optimization method, so that the electricity cost from the grid can be saved. Simulation analysis demonstrates that the proposed method can achieve optimal real-time scheduling of office electricity use in different seasons of a year.

关键词： Batteries Optimization Scheduling Wind energy Performance analysis Optimal control Energy management

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Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties

arXiv

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arXiv 2018年

作者： Kampker, Achim Sefati, Mohsen Abdul Rachman, Arya S. Kreisköther, Kai Campoy, Pascual Chair of Production Engineering of E-Mobility Components RWTH Aachen University Aachen Germany Delft Center for Systems and Control Delft University of Technology Delft Netherlands Computer Vision and Aerial Robotics Group Centre of Automatics and Robotics Universidad Politécnica de Madrid Madrid Spain

Urban-oriented autonomous vehicles require a reliable perception technology to tackle the high amount of uncertainties. The recently introduced compact 3D LIDAR sensor offers a surround spatial information that can be exploited to enhance the vehicle perception. We present a real-time integrated framework of multitarget object detection and tracking using 3D LIDAR geared toward urban use. Our approach combines sensor occlusion-aware detection method with computationally efficient heuristics rule-based filtering and adaptive probabilistic tracking to handle uncertainties arising from sensing limitation of 3D LIDAR and complexity of the target object movement. The evaluation results using real-world pre-recorded 3D LIDAR data and comparison with state-of-the-art works shows that our framework is capable of achieving promising tracking performance in the urban situation. Copyright © 2018, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Modified Firefly Algorithm for Handling Optimal Power Flow control with Operational Constraints

Modified Firefly Algorithm for Handling Optimal Power Flow C...

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Chinese Automation Congress

作者： Gonggui Chen Xingting Yi Zhizhong Zhang College of Automation Chongqing University of Posts and Telecommunications Chongqing China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing China Key Laboratory of Communication Network and Testing Technology Chongqing University of Posts and Telecomm unications Chongqing China

This study describes firefly algorithm (FA) to solve optimal power flow (OPF) control with satisfying various operational constraints. Due to firefly algorithm is easy to convergence prematurely and has the inferior solving skills, thus, modified firefly algorithm (MFA) is formed by combining the dimensional-based approach with levy flight, which is incorporated in original FA. The proposed MFA approach is implemented on IEEE 30-bus system for solving optimal power flow control. Besides, the results obtained by the MFA algorithm are comparable with those of FA and PSO. The numerical results demonstrate the capabilities of the MFA algorithm to generate true and well-distributed solutions of the OPF control. The simulation results also show that the MFA produces better quality of the solutions than other algorithms. This learning can be more beneficial to the further research of optimal power flow control.

关键词： Optimal power flow Firefly algorithm Levy flight IEEE30

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Mathematical modeling of the synthesis process of vinyl acetate

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Journal of Physics: Conference Series 2019年第1期1278卷

作者： D Arapov S Tikhomirov S Podvalny V Denisenko I Avcinov Chair of Higher Mathematics and Information Technology Voronezh State University of Engineering Technologies 19 Revolution Avenue Voronezh 394036 Russian Federation Chair of Information and Control Systems Voronezh State University of Engineering Technologies 19 Revolution Avenue Voronezh 394036 Russian Federation Head of the Department of Automated and Computing Systems Voronezh State Technical University 14 Moskovsky Avenue Voronezh 394026 Russian Federation

A complete mathematical modeling of the technological process of manufacturing vinyl acetate monomer by vapor-phase method has been implemented. The model is partial differential equations of the material and energy balance and catalyst aging. An algorithm for an integrated equation based on the second-order Gregg-Bulirsh-Shter rectangle symbol has been developed. The error in modeling the process is equal (CH3COOCH=CH2) ± 5.4% rel. for the target matter, and (CO2) ± 6.4% rel. for the secondary substance The kinetic coefficients of differential equations, namely the pre-exponential factors and the activation energy have been refined. The obtained data of the modeling of the vapor-phase manufacturing process of vinyl acetate are shown in the form of tables and graphic three-dimensional dependencies of quality indicators on technological parameters.

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LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping

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Geoderma 2025年 459卷

作者： Schmidinger, Jonas Vogel, Sebastian Barkov, Viacheslav Pham, Anh-Duy Gebbers, Robin Tavakoli, Hamed Correa, Jose Tavares, Tiago R. Filippi, Patrick Jones, Edward J. Lukas, Vojtech Boenecke, Eric Ruehlmann, Joerg Schroeter, Ingmar Kramer, Eckart Paetzold, Stefan Kodaira, Masakazu Wadoux, Alexandre M.J.-C. Bragazza, Luca Metzger, Konrad Huang, Jingyi Valente, Domingos S.M. Safanelli, Jose L. Bottega, Eduardo L. Dalmolin, Ricardo S.D. Farkas, Csilla Steiger, Alexander Horst, Taciara Z. Ramirez-Lopez, Leonardo Scholten, Thomas Stumpf, Felix Rosso, Pablo Costa, Marcelo M. Zandonadi, Rodrigo S. Wetterlind, Johanna Atzmueller, Martin Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Piracicaba Brazil The University of Sydney Sydney Institute of Agriculture Sydney Australia Mendel University in Brno Department of Agrosystems and Bioclimatology Brno Czech Republic Leibniz Institute of Vegetable and Ornamental Crops Next Generation Horticultural Systems Grossbeeren Germany Eberswalde University for Sustainable Development Landscape Management and Nature Conservation Eberswalde Germany —Soil Science and Soil Ecology Bonn Germany Tokyo University of Agriculture and Technology Institute of Agriculture Tokyo Japan LISAH Univ. Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Agroscope Field-Crop Systems and Plant Nutrition Nyon Switzerland University of Wisconsin-Madison Department of Soil Science Madison United States Federal University of Viçosa Department of Agricultural Engineering Viçosa Brazil Woodwell Climate Research Center Falmouth United States Academic Coordination Santa Maria Brazil Soil Department Santa Maria Brazil Division of Environment and Natural Resources Aas Norway University of Rostock Chair of Geodesy and Geoinformatics Rostock Germany Federal Technological University of Paraná Dois Vizinhos Brazil BÜCHI Labortechnik AG Data Science Department Flawil Switzerland Imperial College London Imperial College Business School London United Kingdom University of Tübingen Department of Geosciences Tübingen Germany University of Tübingen DFG Cluster of Excellence ‘Machine Learning for Science’ Germany Bern University of Applied Sciences Competence Center for Soils Zollikofen Switzerland Simulation and Data Science Müncheberg Germany Federal University of Jataí Institute of Agricultural Sciences Jatai Brazil Federal University of Mato Grosso Instute of Agricultural and Environmental Scinces Sinop Brazil Department of Soil and Environment Skara S

Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking studies on multiple datasets are needed to reveal strengths and limitations of commonly used methods. Existing DSM studies usually rely on a single dataset with restricted access, leading to incomplete and potentially misleading conclusions. To address these issues, we introduce an open-access dataset collection called Precision Liming Soil Datasets (LimeSoDa). LimeSoDa consists of 31 field- and farm-scale datasets from various countries. Each dataset has three target soil properties: (1) soil organic matter or soil organic carbon, (2) clay content and (3) pH, alongside a set of features. Features are dataset-specific and were obtained by optical spectroscopy, proximal- and remote soil sensing. All datasets were aligned to a tabular format and are ready-to-use for modeling. We demonstrated the use of LimeSoDa for benchmarking by comparing the predictive performance of four learning algorithms across all datasets. This comparison included multiple linear regression (MLR), support vector regression (SVR), categorical boosting (CatBoost) and random forest (RF). The results showed that although no single algorithm was universally superior, certain algorithms performed better in specific contexts. MLR and SVR performed better on high-dimensional spectral datasets, likely due to better compatibility with principal components. In contrast, CatBoost and RF exhibited considerably better performances when applied to datasets with a moderate number ( © 2025 The Author(s)

关键词： Random forests

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Energy cost for controlling complex networks

arXiv

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arXiv 2018年

作者： Duan, Gaopeng Li, Aming Meng, Tao Zhang, Guofeng Wang, Long Center for Systems and Control College of Engineering Peking University Beijing100871 China Department of Applied Mathematics Hong Kong Polytechnic University Hong Kong Department of Zoology Oxford Centre for Integrative Systems Biology University of Oxford OxfordOX1 3PS United Kingdom Chair of Systems Design Department of Management Technology and Economics ETH Zürich Weinbergstrasse 56/58 ZürichCH-8092 Switzerland

The controllability of complex networks has received much attention recently, which tells whether we can steer a system from an initial state to any final state within finite time with admissible external inputs. In order to accomplish the control in practice at the minimum cost, we must study how much control energy is needed to reach the desired final state. At a given control distance between the initial and final states, existing results present the scaling behavior of lower bounds of the minimum energy in terms of the control time analytically. However, to reach an arbitrary final state at a given control distance, the minimum energy is actually dominated by the upper bound, whose analytic expression still remains elusive. Here we theoretically show the scaling behavior of the upper bound of the minimum energy in terms of the time required to achieve control. Apart from validating the analytical results with numerical simulations, our findings are feasible to the scenario with any number of nodes that receive inputs directly and any types of networks. Moreover, more precise analytical results for the lower bound of the minimum energy are derived in the proposed framework. Our results pave the way to implement realistic control over various complex networks with the minimum control cost. Copyright © 2018, The Authors. All rights reserved.

关键词： Complex networks

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Corrigendum to "Development of an international glossary for clinical guidelines collaboration" "[Journal of Biomechanics 158 (2023) 84-91]"

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Journal of clinical epidemiology 2024年 175卷 111514页

作者： Rachel E Christensen Michael D Yi Bianca Y Kang Sarah A Ibrahim Noor Anvery McKenzie Dirr Stephanie Adams Yasser S Amer Alexandre Bisdorff Lisa Bradfield Steve Brown Amy Earley Lisa A Fatheree Pierre Fayoux Thomas Getchius Pamela Ginex Amanda Graham Courtney R Green Paolo Gresele Helen Hanson Norrisa Haynes Laszlo Hegedüs Heba Hussein Priya Jakhmola Lucia Kantorova Rathika Krishnasamy Alex Krist Gregory Landry Erika D Lease Luis Ley Gemma Marsden Tim Meek Martin Meremikwu Carmen Moga Saphia Mokrane Amol Mujoomdar Skye Newton Norma O'Flynn Gavin D Perkins Emma-Jane Smith Chatura Prematunge Jenna Rychert Mindy Saraco Holger J Schünemann Emily Senerth Alan Sinclair James Shwayder Carla Stec Suzana Tanni Nichole Taske Robyn L Temple-Smolkin Louise Thomas Sherene Thomas Britt Tonnessen Amy S Turner Anne Van Dam Mitchell van Doormaal Yung Liang Wan Christina B Ventura Emma McFarlane Rebecca L Morgan Toju Ogunremi Murad Alam Department of Dermatology Northwestern University Feinberg School of Medicine Chicago IL USA Guidelines International Network (GIN) Guidelines Collaboration Working Group Scotland. Department of Dermatology Northwestern University Feinberg School of Medicine Chicago IL USA. Clinical Practice Guidelines American Association of Clinical Endocrinology Jacksonville FL USA. Guidelines International Network (GIN) Guidelines Collaboration Working Group Scotland Pediatrics Department and Quality Management Department King Saud University Medical City Riyadh Saudi Arabia Research Chair for Evidence-Based Health Care and Knowledge Translation King Saud University Riyadh Saudi Arabia. Scientific Council for Health Care Luxembourg. American Society for Radiation Oncology VA USA. University of Sheffield UK. Kidney Disease Improving Global Outcomes (KDIGO) Brussels Belgium. American College of Rheumatology OH USA. Department of Pediatric Otolaryngology-Head Neck Surgery Centre Hospitalier Universitaire de Lille Lille France. American Heart Association/American College of Cardiology Dallas Texas USA. Stony Brook University School of Nursing Stony Brook NY USA. Centre for Communicable Diseases and Infection Control Public Health Agency of Canada Ottawa Ontario Canada. The Society of Obstetricians and Gynaecologists of Canada Ottawa Canada. Department of Medicine and Surgery - Head section of Internal and Cardiovascular Medicine University of Perugia Perugia Italy. St. George's University Hospitals National Health Service Foundation Trust London UK. Hospital of the University of Pennsylvania PA USA. Department of Endocrinology Odense University Hospital Odense Denmark. Oral Medicine Oral Diagnosis and Periodontology Department Faculty of Dentistry Cairo University Cairo Egypt. Centers for Disease Control and Prevention Atlanta GA USA. Czech National Centre for Evidence-Based Healthcare and Knowledge Translation Masaryk University Brno Czech Republic Institute of H

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