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TinyML on Mobile Devices for Hybrid Energy Management systems 17

TinyML on Mobile Devices for Hybrid Energy Management System...

引用

ieee Congress on cybermatics: 17th ieee international conference on Internet of Things, iThings 2024, 20th ieee international conference on Green Computing and Communications, GreenCom 2024, 17th ieee international conference on cyber, Physical and Social Computing, CPSCom 2024, 10th ieee international conference on Smart Data, SmartData 2024

作者： Boiko, Olha Komin, Anton Shendryk, Vira Malekian, Reza Davidsson, Paul Sumy State University Department of Information Technologies Sumy Ukraine Malmö University Department of Computer Science and Media Technology Malmö20506 Sweden Malmö University Internet of Things and People Research Centre Malmö20506 Sweden

ISBN: (纸本)9798350351637

This paper explores the potential of Tiny Machine Learning (TinyML) for privacy-preserving building energy management systems on mobile devices. While TinyML offers reduced latency and improved privacy, its effectiveness in predicting building energy consumption on mobile devices is not well studied. The proposed approach prioritizes user privacy by processing and storing energy data locally on users' mobile devices, leveraging smartphone, tablets, edge nodes, and secure cloud storage. This empowers users with control over their data and adheres to privacy regulations. Predicting building energy usage on mobile devices is crucial because it offers portability, accessibility, and privacy, as well as fosters user engagement. Mobile predictions allow users to conveniently monitor and regulate energy consumption, improving accessibility. Additionally, processing data locally ensures privacy by keeping sensitive information under user control. The paper also investigates the feasibility of converting a TensorFlow-based long short-term memory (LSTM) neural network model for energy prediction to a CoreML or TensorFlow Lite model for deployment on mobile devices. The results indicate a significant degradation in model accuracy after conversion to a CoreML and almost no degradation after conversion to a TensorFlow Lite model. Further research is recommended to explore optimization techniques for the conversion process and to compare models with other criteria. © 2024 ieee.

关键词： Hybrid power

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Fault- Tolerant Multi-Agent control Based on Asymmetric Communication Network 2

Fault- Tolerant Multi-Agent Control Based on Asymmetric Comm...

引用

2nd international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Yu, Wenduo Suo, Pengxiang Guo, Zongjin Liu, Guangyu Zhang, Zuoxiang Deng, Linjiang Yingkou Power Supply Company State Grid Liaoning Electric Power Co. Ltd. Yingkou China

ISBN: (纸本)9798350373318

A new control strategy is proposed for managing multiple agents in a network where communication flows in both directions but may not be symmetrical. These agents might encounter problems where their actuators lose some effectiveness or suffer from bias faults. These faults can vary over time and may differ between agents. The strategy incorporates adaptive methods to handle information related to these faults effectively. Furthermore, it uses a technique called boundary layer construction to design controllers that operate smoothly, avoiding the jittery behavior that can occur with less refined control methods. © 2024 ieee.

关键词： Multi agent systems

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An Improved Dynamic Window Approach for Mobile Robot Dynamic Path Planning 12

An Improved Dynamic Window Approach for Mobile Robot Dynamic...

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Qin, Hongwei Shao, Shiliang Wang, Ting Li, Yawei Wang, Ning Yao, Chen School of Software Shanyang University of Technology Shenyang110870 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 Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Dynamic window approach (DWA) is a local obstacle avoidance algorithm based on velocity sampling of a mobile robot. When the mobile robot based on the DW A algorithm faces moving obstacles,the obstacle can easily collide with the robot if the speed of the obstacle is too fast. Based on the traditional dynamic window approach, the weighting value of its evaluation function is modified to optimize the obstacle avoidance performance of the robot. The simulation results show that the proposed method can avoid dynamic obstacles safely. © 2022 ieee.

关键词： Mobile robots

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Prediction of irrigation water requirement based on parallel CNN-LSTM model and Mann-Kendall test 7

Prediction of irrigation water requirement based on parallel...

引用

ieee 7th international conference on Industrial cyber-Physical systems (ICPS)

作者： Wen, Hao Ma, Haochen Du, Yu Zhang, Jinchao He, Li Shenzhen Univ Coll Mechatron & Control Engn Shenzhen Peoples R China Guangdong Lab Artificial Intelligence & Digital E Shenzhen Peoples R China Dongshen Intelligent Water Technol Co LTD Shenzhen Peoples R China

ISBN: (纸本)9798350363029;9798350363012

Accurate prediction of irrigation water requirement is the basis for irrigation water conservation. However, the widely used machine learning prediction methods do not utilize spatiotemporal information between related features effectively, and the abrupt mutation data processing method for environmental factors requires improvement. This study proposes an irrigation water requirement prediction method using a parallel Convolutional Neural Network (CNN) and Long Short-Term Memory network (LSTM) based on the Mann-Kendall test. In this study, the non-stationary data is segmented into subsequences based on the mutation points of meteorological data detected by the Mann-Kendall test. Then, to satisfy the requirement of extracting the spatiotemporal information of input features, a parallel CNN-LSTM network is built. The CNN is used to reextract and down-sample the spatial information of features. Furthermore, the LSTM network is used for regression fitting in the time dimension to realize farmland irrigation water requirement prediction. Compared with CNN, LSTM, and CNNLSTM with data from 2020 to 2023 in Beijing, the results show that the proposed model can effectively improve the accuracy and stability of irrigation water requirement prediction. This study can provide a reference for intelligent water-saving irrigation and optimal allocation of water resources in irrigation areas.

关键词： Irrigation water requirement Prediction Deep learning Water-savings

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Topology Identification Method for Electric System of High-voltage Customer Based on Electric intelligent Terminal Measurements 1

Topology Identification Method for Electric System of High-v...

引用

1st international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2022

作者： Yang, Heng Yuan, Jindou Zhang, Teng Xue, Mingfeng Mao, Xiaobo Pan, Mingming

ISBN: (纸本)9781665452151

Aiming at the low degree of automation in the identification of the topology structure of the high-voltage customer power supply and consumption system, this paper proposes a topology identification method of the high-voltage customer power supply and consumption system based on the measurement data of the intelligent terminal. The communication address of the electrical intelligent terminal (EIT) is used to correlate the switch sub-nodes at all levels, and the topological relationship between the upper and lower levels of each branch is determined, and then the subordination relationship of each level in the platform system is obtained through a large amount of data clustering analysis method. The simulation results of the example system show that the method can effectively utilize the redundancy of measurement data and accurately identify the topology of the power distribution system. © 2023 ieee.

关键词： Cluster analysis

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intelligent Collaborative Robot Based on DMHF-CNN+YOLOv7 and Soft Q-Learning in Non-Standard Industrial Parts Assembly 4

Intelligent Collaborative Robot Based on DMHF-CNN+YOLOv7 and...

引用

4th ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Zhang, Xiaodong Qin, Minghua Cheng, Tao Liu, Xinjie Xue, Rurui Hu, Bin Li, Yun Xiong, Gang Dong, XiSong Yantai Institute of Technology China Qingdao Academy of Intelligent Industries China State Key Laboratory of Multimodal Artificial Intelligence Systems China Chinese Academy of Sciences Institute of Automation China

ISBN: (纸本)9798350349252

The aim of this study is to explore a novel intelligent collaborative robot system that incorporates DMHF-CNN+YOLOv7 target detection technology, hybrid continuous-discrete reinforcement learning motion planning, and Soft Q-Learning-based intelligent grasping control technology. Experimental results show that the system exhibits good performance and stability in non-standard industrial parts assembly tasks. The accuracy of target detection reaches more than 95 percent, the accuracy of motion planning and the success rate of grasping are significantly improved, and the assembly time and the cost of human intervention are effectively reduced. The research results in this paper provide strong support for the application of intelligent manufacturing technology in actual production. © 2024 ieee.

关键词： Adversarial machine learning

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Sampled-Data Output Voltage Practical Tracking for Uninterruptible Power Supply systems with Transmission Delays

Sampled-Data Output Voltage Practical Tracking for Uninterru...

引用

2024 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2024

作者： Jia, Mengqi Liu, Wei Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798331504755

This paper aims at addressing output voltage practi-cal tracking problem for uninterruptible power supply systems by devising an aperiodic sampled-data control scheme. We consider the presence of transmission delay in the input channel. We demonstrate that the problem can be solved by a predictor-based sampled-data dynamic output feedback control law. Moreover, the tracking error can converge to a prescribed neighborhood of the origin. © 2024 ieee.

关键词： Delay control systems

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Exploring Game Theoretic Applications in cyber Security

Exploring Game Theoretic Applications in Cyber Security

引用

2024 international conference on intelligent systems for cybersecurity, ISCS 2024

作者： Verma, Rakesh Koul, Saroj Ajaygopal, K.V. Singh, Sudhanshu Analytics and Data Sciences Iim Maharashtra Mumbai India Jindal Global Business School Op Jindal Global University Haryana India Operations and Supply Chain Iim Maharashtra Mumbai India School of Business Galgotias University Uttar Pradesh India

ISBN: (纸本)9798350375237

cyber Security is a primary concern in the digital world today. Abundant literature tackling various cyber threats is available in this domain. As technology advances, cyberattacks get complicated, making prevention detection and reacting to threats complex with attack-specific solutions. Hence, a holistic approach to cyber security is necessary. Game theory is one of the holistic approaches practised in cyber security. Therefore, this work runs a 'bibliometric analysis' of available literature on game theory in cyber security published between 2016 and 31 December 2023. The authors analysed one thousand three hundred five (1305) documents on the game theoretic approach to cybersecurity collected from the SCOPUS database. In this study, game theory was the most frequent keyword, followed by security, Nash-equilibrium, and network security. The present growth trends suggest a considerable increase in publications globally on the game-theoretic approach to cybersecurity. China has made a tremendous contribution to this critical field. The application of Stackelberg games, Evolutionary Game theory, and holistic cyber-defence systems have a high scope for future research. © 2024 ieee.

关键词： Game theory

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The DAO to Social Transportation: Towards Smart Mobility in cyber-Physical-Social Space

The DAO to Social Transportation: Towards Smart Mobility in ...

引用

2023 ieee international conference on systems, Man, and cybernetics, SMC 2023

作者： Chen, Yuanyuan Lv, Yisheng Wang, Fei-Yue Institute of Automation State Key Lab. of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China Chinese Academy of Sciences State Key Lab. for Management and Control of Complex Systems Beijing100190 China

ISBN: (纸本)9798350337020

The rapid advancement of intelligence and connectivity technology (ICT) has enhanced the efficiency and safety of intelligent transportation systems (ITS). However, this also increases the complexity of the transportation systems, especially the social complexity, and poses new challenges for their management. This paper discusses the emergence of social transportation, as part of natural evolutionary adaptation to new traffic conditions and technology, which is a paradigm shift from engineering-centered technical systems to society-centered ecosystems. In social transportation systems, all participants including administrators, individual travelers and other stakeholders play a more proactive role in the operation and management of transportation systems. Therefore, we propose to employ a decen-tralized autonomous organization (DAO) as a model for the social transportation system that allows participants to collaborate and coordinate without relying on a central authority. To meet the challenges brought by this transition, we propose to apply ACP-based parallel system theory to restructure the methodology of transportation management. Finally, we present a case study of personal carbon trading system where economic incentives are used to manage traffic demand, affecting others' travel behaviors, and reduce carbon emissions. In the conclusive remarks, we provide our visions and future directions of social transportation systems. © 2023 ieee.

关键词： block chain cyber-physical-social system decentralized and autonomous organization social transportation

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An IMU Error Correction Method Based on Multithreshold ZV Detection and SRCKF

An IMU Error Correction Method Based on Multithreshold ZV De...

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2023 international conference on cyber-Physical Social Intelligence, ICCSI 2023

作者： Luo, Jialiang Chen, Shichao Lv, Yisheng Sun, Wenqiao Yang, Fan Xu, Ruijie Institute of Automation Chinese Academy of Sciences School of Information Engineering China University of Geosciences Beijing The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences College of Rail Transit Shan Dong JiaoTong University The State Key Laboratory for Management and Control of Complex System Jinan China The Hong Kong Polytechnic University Department of Aeronautical and Aviation Engineering Hong Kong Hong Kong

ISBN: (纸本)9798350312492

With the rapid development and widespread application of Inertial Measurement Units (IMUs), IMU-based human localization has become critically important in environments lacking Global Navigation Satellite systems (GNSS) signals. Methods such as UWB/WIFI and other anchor-based localization have been employed to enhance the positioning accuracy. However, these methods are susceptible to the environmental interference and increased costs. In contrast, SINS-based localization methods eliminate reliance on the external data. However, this method can suffer from drift errors due to cumulative integration errors. Inertial navigation error correction techniques like Zero Detection Update technology (ZUPT) provide potential solutions to address drift errors. This paper proposes an error correction method based on the multithreshold zero-velocity detection and Square Root Cubature Kalman Filter (SRCKF) updates. Compared to the single fixed threshold detection, the multi-threshold zero-velocity detection reduces the likelihood of missed zero velocity detection and false alarms, providing accurate time intervals for error correction. Experimental results demonstrate that the SRCKF-based algorithm reduces position deviation to approximately 0.3146 meters, corresponding to an error ratio of1.14%. The proposed method enables cost-effective and accurate pedestrian localization, driving advancements in the field. © 2023 ieee.

关键词： Cost effectiveness

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