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Results From a Large-Scale IoT-based Intervention for Energy Saving and Sustainability Awareness via Behavior Change in 25 K-12 Schools in Europe

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IEEE Internet of Things Journal 2025年第12期12卷 19308-19325页

作者： Mylonas, Georgios Amaxilatis, Dimitrios Paganelli, Federica Chatzigiannakis, Ioannis Koulouris, Pavlos Falkouskaya, Yelizaveta Markopoulos, Panos Athena Research Center Industrial Systems Institute Patras26504 Greece Comp. Tech. Institute and Press "Diophantus" 26504 Greece Spark Works Ltd GalwayH91 AHR1 Ireland Univ. of Pisa Dpt. of Computer Science Pisa56127 Italy CNIT Florence50134 Italy Sapienza University of Rome Dpt. of Computer Control and Management Engineering 00185 Italy Ellinogermaniki Agogi Athens Greece Eindhoven University of Technology AI Systems Institute Industrial Design Noord-Brabant Eindhoven5612 AE Netherlands

The unfolding climate crisis has resulted in a rising interest for increasing sustainability awareness and achieving energy savings worldwide. Several interventions within educational environments have been aimed at mobilizing younger audiences towards such goals. However, most of the interventions carried out so far are based on a subset of possible tools (e.g., IoT monitoring, gamification) and offer "all or nothing"approaches, which do not cope well with the uniqueness of schools and the need to adapt interventions to specific contexts (e.g. school size, building, curriculum, teacher involvement). We present a large-scale intervention in 25 school buildings in Europe over the course of two school years. Our intervention was based on the installation of a relatively low-cost IoT infrastructure in schools, that produced real-time energy-related data from the school buildings involved, and the application of a strategy combining, in a flexible and customizable way, educational activities, monitoring tools, gamification, and competition to motivate behavior change and achieve energy savings. Overall, 2983 students and 204 educators were directly involved to a variable degree of participation. Our results indicate a positive overall result in terms of short-term energy savings in most schools involved, with an average reduction of 20-25% in the energy that could be affected by end-users, as well as a 32.9% increase after the intervention in students self-reporting good or very good sustainability awareness. These findings suggest that such interventions can be a valuable step towards educating young students regarding sustainability and towards sustainable schools, if designed and implemented properly. © 2014 IEEE.

关键词： Sustainable development Buildings Energy conservation Europe Meteorology Internet of Things Energy consumption Real-time systems Energy efficiency Psychology

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Distributed Cooperative Decision-Making of Cross-Domain Swarm

Distributed Cooperative Decision-Making of Cross-Domain Swar...

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2023 China automation Congress, CAC 2023

作者： Liu, Xingyu Yuwen, Cheng Zhang, Wangcheng Sun, Mingyang Jian, Ding Zhen, Ziyang State Key Laboratory of Mechanics and Control for Aerospace Structures China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China CASIC Research Institute of Intelligent Decision Engineering Wuhan China UAV System Company Limited Aviation Industry Corporation of China Chengdu China

ISBN: (纸本)9798350303759

This paper investigates a cooperative decision-making problem of the cross-domain swarm system involving unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs). Different from the distributed optimization of multi-agent systems, the cooperative decision-making problem considers the payoff functions that depend on the states of all agents. Each agent can only adjust its own state. To address the cooperative decision-making problem, a two-time scale system is constructed, where the fast model includes an average consensus for gradient estimation of the global function and the slow model incorporates a feedback control of all USVs and UAVs. By the Lyapunov analysis, the optimal solution is globally exponentially stable. Finally, a cooperative encirclement task is utilized to verify the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Unmanned surface vehicles

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Robust Fault-tolerant control of Periodic Piecewise Time-varying Systems Based on Matrix Polynomials

Robust Fault-tolerant Control of Periodic Piecewise Time-var...

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2023 China automation Congress, CAC 2023

作者： Huang, Jiantai Xie, Xiaochen Lam, James Harbin Institute of Technology Shenzhen Department of Automation Shenzhen518055 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany The University of Hong Kong Department of Mechanical Engineering Hong Kong Hong Kong HKU Shenzhen Institute of Research and Innovation Shenzhen518057 China

ISBN: (纸本)9798350303759

This paper investigates the robust fault-tolerant control issue for a type of periodic piecewise time-varying systems (PPTVSs). The PPTVS is modeled considering the coexistence of external disturbances, structural parameter perturbations, and actuator failures in the system. Stability analysis is conducted for the considered PPTVS, and a sufficient condition concerning the exponential stability of the closed-loop system is given. Through a matrix polynomial approach capable of decoupling time-varying parameters, the robust fault-tolerant controller synthesis is transformed into a convex optimization problem. Flexible controller gains are enabled through selectable subinterval partitioning parameters. A sufficient condition is presented for maintaining the exponential stability, achieving H∞ disturbance attenuation, and obtaining a tractable robust fault-tolerant controller. Simulation verification using a multi-input multi-output PPTVS model shows that the designed controller can maintain the exponential stability under actuator failures, satisfy the H∞ performance index, and exhibiting robustness against structural parameter perturbations. © 2023 IEEE.

关键词： Closed loop systems

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Robotic fish:Opening a new era of underwater detection

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The Innovation 2025年第3期6卷 13-14页

作者： Dongfang Li Suet To Zhicheng Xu Guanghong Liu Rob Law Edmond Q.Wu Limin Zhu State Key Laboratory of Ultraprecision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China School of Electrical Engineering and Automation Fuzhou UniversityFujian 350108China China Electronics Technology Group Corporation Information Science Research InstituteBeijing 100086China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Asia-Pacific Academy of Economics and Management Faculty of Business AdministrationUniversity of MacaoMacao 999078China Department of Computer Science and Engineering Shanghai JiaoTong UniversityShanghai 200240China

Escalating competition within aquatic environments,particularly in oceans,underscores the imperative for innovative solutions in underwater *** solutions necessitate the development of intelligent underwater equipment,with robotic fish emerging as a promising contender.1 Leveraging advancements in robotics and artificial intelligence,robotic fish offer a suite of advantages that position them as transformative assets in underwater exploration and *** fish are autonomous robots designed based on biomimetics principles that mimic the appearance of fish and can autonomously swim and perform specific tasks in water.

关键词： robotic fish intelligent underwater equipmentwith autonomous robots underwater detection oceans artificial intelligencerobotic fish aquatic environments innovative solutions

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RoboFold: A platform for Protein-folding Inspired Robot Swarms ∗ 5

RoboFold: A platform for Protein-folding Inspired Robot Swar...

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5th World Robot Conference Symposium on Advanced Robotics and automation, WRC SARA 2023

作者： Zhang, Feng Gu, Yuping Yuan, Shuai Yang, Yongliang Shenyang Jianzhu University School of Electrical and Control Engineering Liaoning Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110016 China Shenyang Jianzhu University School of Computer Science and Engineering School of Electrical and Control Engineering Liaoning Shenyang110168 China

ISBN: (纸本)9798350307320

Natural swarms have inspired various controlling algorithms for swarm robotics, while few of them were programmed in a similar way as the natural swarms. Defining a reliable programming method is still a daunting challenge in swarm robotics. In nature, the information of 3D protein structure is programmed in the sequence of amino acids of the protein. To mimic the programming method of protein folding, we present a platform for investigating protein-folding inspired programming method for robot swarms. This platform includes three parts: a vibration machine, protein-like robot sequences, and recording devices. The preliminary results presented here demonstrated the effectiveness of this platform and the feasibility of protein-folding inspired programming method for robot swarms. © 2023 IEEE.

关键词： Protein folding

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Torque Ripple Reduction in PMSM Based on Three-Closed-Loop Vector control 17th

Torque Ripple Reduction in PMSM Based on Three-Closed-Loop V...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Fu, Menghu Zhang, Qian Wang, Qunjing Yang, Heng Chen, Dijiang School of Electrical Engineering and Automation Anhui University Anhui Hefei China National Engineering Laboratory of Energy-Saving Motor and Control Technology Anhui University Anhui Hefei China Power Quality Engineering Research Center Ministry of Education Anhui University Anhui Hefei China 38th Research Institute of CLP Group Anhui Hefei China

ISBN: (纸本)9789819903566

In order to solve the problems of large torque fluctuation and serious stator flux and current distortion of permanent magnet synchronous motor (PMSM) under direct torque control (DTC), the three-closed-loop vector control of PMSM torque reduction method is proposed. Firstly, the basic principles of traditional DTC are introduced. Secondly, the space voltage vector pulse width modulation (SVPWM) is used to replace the switching table search module of the traditional DTC to obtain a proper space voltage vector. Finally, the tracking response under the position signal is analyzed to verify the viability of the proposed control strategy. The simulation results show that the torque reduction technique based on triple closed-loop vector control of PMSM can increase the motor starting torque to 28.97 N · m, the motor starting speed is faster, the rising time is shortened, and the overshoot of speed tracking is reduced to 3.37%, which greatly improves the tracking accuracy, significantly improves the current distortion and suppresses the torque ripple. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Vectors

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Monitoring and Forecasting Quality Indicators of Predough Production in the Bakery Industry 5

Monitoring and Forecasting Quality Indicators of Predough Pr...

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5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Lutska, Nataliia Zaiets, Nataliia Vlasenko, Lidiia Zhyltsov, Andrii Dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine Dept. of Electromagnetic Systems The Institute of Electrodynamics The National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350384499

The work demonstrates the process of developing a machine learning model for a system for monitoring and controlling the quality of predough at a bakery. This system will provide continuous analysis of the predough parameters, such as temperature, humidity, lifting force and titranic acidity, which will ensure timely detection of deviations in the quality of the predough and avoid production problems. In addition, it will help automate the quality control process and ensure the stability of production processes. Analysis and forecasting of dough parameters will improve the quality of produced bread or other bakery products. Management based also on the predicted values of technological indicators of the predough will allow the enterprise to avoid unnecessary costs of materials and energy and increase economic efficiency. As part of the study, seven machine learning models were created and reviewed, including three linear and four varieties of binary decision trees. An analysis of the best model - a regression decision tree - was carried out, confirming its effectiveness and the validity of the resulting hierarchical structure, in particular, the prediction of important indicators of predough with a high degree of reliability, which indicates its importance in practical applications in production. The created model can be used to monitor and control product quality in real time, allowing operators to quickly identify and correct any deviations in process performance. Also, by analyzing changes in the variables of the predough production process, it is possible to identify precursors of possible production accidents or deviations in product quality, which will allow timely measures to be taken to avoid them. ©2024 IEEE.

关键词： Bakeries

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Economic Dispatch with High Penetration of Wind Power Using Extreme Learning Machine Assisted Group Search Optimizer with Multiple Producers Considering Upside Potential and Downside Risk

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1459-1471页

作者： Yuanzheng Li Jingjing Huang Yun Liu Zhixian Ni Yu Shen Wei Hu Lei Wu School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China China-EU Institute for Clean and Renewable Energy Huazhong University of Science and TechnologyWuhan 430074China School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China State Grid Hubei Power Electric Research Institute Wuhan 430077China Department of Electrical&Computer Engineering Stevens Institute of TechnologyHoboken USA IEEE

The power system with high penetration of wind power is gradually formed,and it would be difficult to determine the optimal economic dispatch(ED)solution in such an environment with significant *** paper proposes a multi-objective ED(MuOED)model,in which the expected generation cost(EGC),upside potential(USP),and downside risk(DSR)are simultaneously *** heterogeneous indices of upside potential and downside risk mean the potential economic gains and losses brought by high penetration of wind power,***,the MuOED model is formulated as a tri-objective optimization problem,which is related to uncertain multi-criteria decision-making against ***,the tri-objective optimization problem is solved by an extreme learning machine(ELM)assisted group search optimizer with multiple producers(GSOMP).Pareto solutions are obtained to reflect the trade-off among the expected generation cost,the upside potential,and the downside *** a fuzzy decision-making method is used to choose the final ED *** studies based on the Midwestern US power system verify the effectiveness of the proposed MuOED model and the developed optimization algorithm.

关键词： Economic dispatch(ED) wind power extreme learning machine optimization algorithm

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A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective

A Test Suite and An Optimizer for Dietary Nutrition Optimiza...

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2023 IEEE Congress on Evolutionary Computation, CEC 2023

作者： Ti, Yaqi Li, Changhe Yang, Shengxiang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China School of Computer Science and Informatics De Montfort University Leicester United Kingdom

ISBN: (纸本)9798350314588

With increasing people who suffer from diet-related diseases, providing suggestions for personal daily nutrient-dense intake is highly expected. However, current dietary nutrition models are less precise, and dietary nutrition optimizers usually fail to give satisfactory solutions. Therefore, we construct a constrained many-objective nutrition model with more precise nutrient assessments and a scalable constrained many-objective benchmark set. This test suite has great flexibility in evaluating algorithms' performance on high dimensional search and objective spaces with some feasible region fragments. We also propose a kd-tree based dynamic constrained many-objective evolutionary algorithm to search for customized food combinations according to personal daily consumption and intake preference. Experiments show that our algorithm has better diversity maintenance ability in high dimension space. © 2023 IEEE.

关键词： Nutrition

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A method based on rotated object detection to detect defects regarding distance in strain clamps 3

A method based on rotated object detection to detect defects...

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2022 3rd International Conference on Electrical Technology and Automatic control, ICETAC 2022

作者： Du, Qiliang Zhou, Huangze Qu, Fengrui Tian, Lianfang School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou China Sino-Singapore International Joint Research Institute Guangdong Guangzhou China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education China Research Institute of Modern Industrial Innovation South China University of Technology Guangdong Guangzhou China

Strain clamps in the transmission line have a vital role. With X-ray inspection in the transmission line, X-ray images to check defects of the tensioning line clip method have already become the mainstream method. In this paper, we concentrate on the strain clamps' steel anchor end and strand distance defects. We propose a method based on the rotated object detection model RoI Transformer with KFIoU loss to extract the diameter of the steel anchor tube as a reference to determine whether the distance is too long. We first obtain the rotated bounding boxes of the steel anchor and the strand, then calculate the distance between the steel anchor end and the strand and the diameter of the steel anchor by rotated bounding boxes, and finally determine whether there is a defect. Through the study of this essay, the defect detection of strain clamps realizes with high accuracy which has an essential reference for the quality inspection of tension clamp crimping in engineering applications. © Published under licence by IOP Publishing Ltd.

关键词： Defects

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