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A Cooperative Computation Offloading Scheme for Dense Wireless sensor-assisted Smart Grid Networks 6

A Cooperative Computation Offloading Scheme for Dense Wirele...

引用

6th ieee international conference on Computer and Communication systems, ICCCS 2021

作者： Jiang, Jin Xu, Jian Xie, Yao Zhu, Yiwei Li, Zhongbin Yang, Chen Digital Grid Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9780738126043

the emerging applications in wireless sensor-based smart grid networks has provided higher demands on latency, and such latency-sensitive applications also require dense computations, especially in dense wireless sensor networks. To further satisfy the huge demands on communication and computation resources, mobile edge computing (MEC) has been proposed to offload computation tasks from terminals to nearby MEC servers that are deployed on wireless sensors. However, in the practical scenario, due to the expensive cost of deploying MEC servers, the amount of the deployed MEC servers is always limited, i.e., it may be much lower than that of sensors or terminals. As a result, the computation offloading in MEC-assisted dense wireless sensor network still faces open challenges. To address the above issue, we propose a joint MEC and device-to-device(D2D)-based computation offloading scheme. Specifically, we formulate the computation offloading problem as a joint access selection and resource allocation optimization, which minimizes the energy consumption while requested bandwidths and delay are satisfied. then, we solve the formulated problem by designing a quantum behaved particle swarm optimization (QPSO) algorithm. the simulation results demonstrate that the proposed scheme can improve the efficiency of computation offloading and decrease the energy consumption in the MEC-assisted dense wireless sensor-based smart grid networks. © 2021 ieee.

关键词： Smart power grids

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Multi-sensor Data Fusion and Artificial Intelligence Feature Analysis

Multi-Sensor Data Fusion and Artificial Intelligence Feature...

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international conference on Information systems and Computer Aided Education (ICISCAE)

作者： Xiaoqing Xu Xiaowei Liang School of Information Engineering Eurasia University Xi’an China Simulation Department Innochip Technology Xi’an China

In this paper, the basic concept, working principle, characteristics and structure, data fusion method and application range of multi-sensor information fusion are described in detail. In this paper, a new multi-sensor information fusion method is established and verified by experiments. Meanwhile, a multi-source data fusion algorithm based on single D-S evidence is proposed. the upper computer software (GUI) developed in Python allows these sensors to work together. the sensor can also store data based on time stamps. the superiority of this algorithm is proved by computer simulation.

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Fault Tolerant Control of Actuator Failure in distributed Drive Electric Vehicle 6

Fault Tolerant Control of Actuator Failure in Distributed Dr...

引用

6th CAA international conference on Vehicular Control and Intelligence, CVCI 2022

作者： Limin, Niu Yiqi, Zhang Jianmei, Lv Chao, Hu Lingchu, Wan School of Mechanical Engineering Anhui University of Technology Anhui Ma'anshan243032 China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

Research object of the paper is hub-drive electric vehicle. A vehicle body yaw stability control strategy based on sliding mode variable structure theory was proposed for distributed drive electric vehicles, state parameter monitoring and a fault tolerant control method for actuator failure based on parameter estimation and multi-agent system is designed. the existing motor failure control methods and vehicle state estimation algorithms are analyzed, and the real-time driving state of the vehicle is determined based on Unscented Kalman filter(UKF). the failure control rules and fault-tolerant coordinated control framework are constructed by defining the driving wheel agents, and the failure model is established. Combined with the parameter estimation algorithm, keeping the normal driving state of the vehicle after the actuator fails. the simulation results of line and curve failure driving conditions show the dynamic parameters of vehicle body can be stabilized in a controllable with this strategy. Which is further improvement the fault-tolerant control ability of vehicle actuators and vehicle handling stability. © 2022 ieee.

关键词： Multi agent systems

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Design and Application Research of Intelligent Interactive System Based on Internet of things Technology

Design and Application Research of Intelligent Interactive S...

引用

ieee international conference on Power, Intelligent computing and systems (ICPICS)

作者： Haolong Wu Daisheng Xu Lihua Luo Yaowu Xu Peng Yang Xiamen University of Technology Xiamen China Hanhe Tianchen (Xiamen) Tech Co. Ltd Xiamen China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374322

In order to solve the problems of the low sense of participation in the project, inconvenient control of the equipment and complex control process, an intelligent interactive system is designed in this paper. the system takes STM32F103ZET6 micro controller as the core, and adopts a new device module, which can accurately perceive the behavior and action of the specific location. through the serial port protocol, the system can efficiently send and receive relevant instructions to realize the interaction between Internet of things devices. this ESP8266WiFi network communication module was used for network communication to realize the network between the host computer platform and Ali Cloud. this paper uses the Ali Cloud platform can realize the implementation of the equipment information supervision and facilitate the maintenance of equipment damage in the later stage. the test results show that the intelligent interactive system realizes the design functions, which is expected to improve the interactive experience and project attraction of immersive projects, improve the control efficiency of the equipment, and simplify the operation process.

关键词： Wireless communication Somatosensory Human computer interaction Cloud computing Wireless sensor networks Protocols Interactive systems Process control Internet of things Remote control

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Hybrid Cluster Head Selection Approach for Node Lifetime Enhancement in Wireless sensor Networks 6

Hybrid Cluster Head Selection Approach for Node Lifetime Enh...

引用

6th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Padmavathy, C. Akshaya, V.S. Menaha, R. Pravinth Raja, S. Sri Ramakrishna Engineering College Cse Coimbatore India Sri Eshwar College of Engineering Cse Coimbatore India Presidency University Bangalore India

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

Node lifetime is an important factor in wireless sensor networks as the entire lifetime of the network depends on the individual nodes. Researchers pay more attention towards enhancement of node lifetime through various deployment models. Rather than concentrating over node deployment, efficient clustering, data aggregation in wireless sensor networks enhances the node and network lifetime, minimize the energy utilization, reduces network congestion and identifies an optimal route for better load balancing. Clustering approaches considers the parameters like residual energy of node, communication range, distance between node and sink. Specifically, cluster head selection and replacement is a crucial part in clustering which directly relates to energy management of network. Considering these facts, an energy efficient clustering approach to enhance node lifetime through hybrid adaptive neuro fuzzy inference system (ANFIS) is proposed in this research work. Conventional models are compared with proposed hybrid approach to demonstrate the superior performance. © 2022 ieee.

关键词： Fuzzy systems

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2021 ieee 6th international conference on computing, Communication and Automation, ICCCA 2021

2021 IEEE 6th International Conference on Computing, Communi...

引用

6th ieee international conference on computing, Communication and Automation, ICCCA 2021

ISBN: (纸本)9781665414739

the proceedings contain 168 papers. the topics discussed include: data warehousing for formula one (racing) popularity rating using pentaho tools;optimized machine learning: training and classification performance using quantum computing;active power control of grid integrated multiple rooftop PV plant with power quality enhancement;large-scale solar photovoltaic grid integration with new cascaded VSC arrangement and modified switching technique;context-aware deep learning approach for answering questions;a review of defense against distributed dos attack based on artificial intelligence approaches;and distributed energy resources based EV charging station with seamless connection to grid.

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Research on torque distribution control of high-performance distributed drive multi-axle special vehicle 6

Research on torque distribution control of high-performance ...

引用

6th CAA international conference on Vehicular Control and Intelligence, CVCI 2022

作者： Li, Luoquan Wang, Hongliang Pi, Dawei Wang, Xianhui Wang, Erlie Chen, Yongdan School of Mechanical Engineering Nanjing University of Science and Technology Nanjing China China Northern Vehicle Research Institute Key Laboratory of Vehicle Transmission Beijing China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

For improving the comprehensive performance of distributed drive multi-axle special vehicles under multiple operating conditions, a hierarchical drive allocation strategy for dynamically coordinating vehicle performance is proposed. An 11-DOF vehicle dynamics model and a vehicle reference model considering slip-steering are established. Combined with the characteristics of the four-axle vehicle slip-steering in the upper controller, a sliding-mode variable structure control algorithm based on adaptive error is designed to decide the expected additional yaw moment. In the lower controller, a dynamic adjustment mechanism of vehicle performance based on fuzzy controller is established, and quadratic programming algorithm is used to solve the optimal driving torque of each wheel. Finally, the co-simulation platform of MATLAB/Simulink and TruckSim is built and verified by simulation experiments. the results show that the dynamic performance control strategy can effectively improve the stability of the vehicle under high-speed and large-angle conditions, and improve the dynamic performance of the vehicle at low-speed and small corners while ensuring stability, it is of great significance to improve the multi-condition performance of multi-axle special vehicles. © 2022 ieee.

关键词： MATLAB

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the Application of Virtual Reality Using Kinect sensor in Biomedical and Healthcare Environment: A Review 1

引用

4th international conference on Electronics, Biomedical Engineering, and Health Informatics, ICEBEHI 2023

作者： Candra, Henry Yuniati, Umi Chai, Rifai Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia School of Science Computing and Engineering Technologies Swinburne University of Technology Melbourne Australia

ISBN: (数字)9789819714636

ISBN: (纸本)9789819714629

Virtual Reality (VR) and the Kinect sensor, as promising tools in biomedical research, offers diverse applications in medical education, rehabilitation, diagnostics, and health research. the problem statement highlights the demand for innovative solutions and introduces VR and Kinect as potential transformative technologies. this review analyzes the importance of these technologies, their contributions, and future potential. It stands out by evaluating various Kinect-based systems in medical settings. By highlighting distinct features, advancements, and limitations, it provides guidance for future research. Relevant literature was gathered from databases such as Google Scholar, ieee Xplore, and PubMed. the results showcase a wide range of applications, including patient autonomy, stroke rehabilitation, diagnostics, and monitoring. Despite challenges in accurate movement tracking, integration into clinical settings, and limited generalizability of findings due to small sample sizes, VR and Kinect show potential for revolutionizing healthcare delivery and improving patient outcomes. their adaptability, affordability, and immersive nature of these technologies offer promising avenues for personalized interventions, remote healthcare, training, and enhanced patient engagement. As these technologies evolve, continued research and development are crucial to optimize their impact in shaping the future of healthcare. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Virtual reality

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Longitudinal and Lateral Coordinated Control of distributed Drive Electric Vehicles Based on Model Predictive Control 6

Longitudinal and Lateral Coordinated Control of Distributed ...

引用

6th CAA international conference on Vehicular Control and Intelligence, CVCI 2022

作者： Yao, Yicheng Yan, Yongjun Peng, Lin Han, Dongming Wang, Jinxiang Yin, Guodong School of Mechanical Engineering Southeast University Nanjing China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

With the successful development of electric vehicles, the longitudinal and lateral dynamic performance under high-speed and large-curvature scenarios is still an urgent problem to be solved. An electric path-tracking controller is designed in this paper, which changes control modes according to the driving scenarios in distributed drive electric vehicles (DDEVs). A vehicle-road model is constructed based on the structural characteristics of DDEV, which incorporates the vehicle's longitudinal and lateral handling mechanics and path-tracking capability. An event division mechanism based on expected lateral acceleration is proposed in this paper. A switching strategy and a path-tracking controller that can adapt to different driving scenarios are designed based on the Model Predictive Control (MPC). Under the conditions of high-speed driving and high road adhesion rate, the proposed controller performs better in tracking accuracy and stability control than the traditional Active Front Steering (AFS) controller. this paper also expects to find a control scheme covering actual vehicle test requirements and how to reduce the shock caused when switching control modes. © 2022 ieee.

关键词： Model predictive control

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Research on Electronic Differential Control Algorithm of distributed Drive Electric Vehicles 6

Research on Electronic Differential Control Algorithm of Dis...

引用

6th CAA international conference on Vehicular Control and Intelligence, CVCI 2022

作者： Jiang, Tong Zheng, Hongyu Zong, Changfu Kaku, Chuyo Liu, Xiangzheng Changchun China Jiangsu Chaoli Electric Co.Ltd R&d Center Danyang China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

In this article, an electronic differential control algorithm suitable for distributed drive electric vehicles is proposed. Considering the vertical forces transfer of both sides wheels and vehicle stability during the vehicle steering process, under the condition of the constant road adhesion coefficient, two driving torque distribution methods are used. the first distribution method that considers the vertical forces transfer of both sides wheels, the second distribution method that add a yaw moment for the vehicle stability during the steering process, in order to acquire the best result of electronic differential, this article compares the effects of the two distribution methods in different speed ranges. Simulations show that in the low-speed stage, the first distribution method can avoid the wheels slipping effectively. In the high-speed stage, the second distribution method can better ensure the vehicle stability. therefore, the electronic differential control algorithm proposed integrates the advantages of two methods, which in the low-speed range using the first method and in the high-speed range using the second method. © 2022 ieee.

关键词： Electric vehicles

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