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检索条件"任意字段=4th International Conference on Computer, Internet of Things and Control Engineering"

共 14534 条记录，以下是11-20 订阅

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Research on walking stability of biped robot 24

Research on walking stability of biped robot

引用

4th international conference on computer, internet of things and control engineering

作者： Rao, Haopeng Chongqing Univ Cincinnati Joint Co Op Inst Chongqing Peoples R China

ISBN: (纸本)9798400711848

Studies imitating bipedal movement has significant meaning to exploit biped robot. However, biped robot is facing a challenge of low stability. this paper mainly tries to what factor will affect the walking stability of biped robots at the control level. Speed, acceleration and frequency of acceleration change are selected as the main research objects. Calculation of zero moment point (ZMP) is used to judge if the robot walks stable or not. ZMP plays a significant role in walking and running robots as it helps to predict and control the balance. Maintaining the ZMP within the support polygon ensures that the robot does not tip over. then conducts virtual simulation experiments on Webots software by writing a control strategy with the built-in model in Webots, and finally analyzes the and discusses the experimental data results and proposes subsequent optimization programs like gait planning. Gait planning encompasses various techniques and algorithms to ensure that the robot can achieve desired movements while maintaining balance and adapting to external conditions.

关键词： Biped robot control ZMP

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A Fast Method for Identifying Anomalous Traffic in a Ubiquitous Power IoT Access Layer Network 24

A Fast Method for Identifying Anomalous Traffic in a Ubiquit...

引用

4th international conference on computer, internet of things and control engineering

作者： Wu, Zhengrong Li, Hua Du, Shaohui Yin, Furong Yang, Chen China Southern Power Grid Guangzhou Guangdong Peoples R China China Southern Power Grid Digital Power Grid Technol Guangdong Co Ltd Guangzhou Guangdong Peoples R China

ISBN: (纸本)9798400711848

Conventional IoT access layer network abnormal traffic rapid identification nodes are mostly deployed in a one-way structure, and the identification coverage is limited, resulting in an increase in the final error recognition rate. therefore, this paper proposes a design and identification comparison of ubiquitous IoT access layer network abnormal traffic rapid identification methods. According to the current identification requirements, firstly extract the characteristics of abnormal traffic, and use a multi-level approach to break the limit of identification coverage, so as to realize the deployment of multi-level identification nodes. On this basis, design an adaptive fast identification model for abnormal traffic in the access layer network of the power internet of things, and finally achieve fast identification processing by using dynamic and continuous monitoring. the test results show that compared with the SDN abnormal traffic detection system with different mathematical models for monitoring and identifying abnormal network traffic methods and deep learning hybrid models, the error rate of the rapid identification method of abnormal traffic in the access layer network of the ubiquitous power internet of things designed this time is relatively low, which indicates that the rapid identification mode of abnormal network traffic designed this time is more flexible, efficient, safe and targeted. In a complex background environment, the identification effect of traffic is significantly improved.

关键词： internet of things for Electricity Network Access Layer Access Layer Fast Recognition Network Scheduling Recognition Methods

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Research on Complex control of internet of things Based on AI Agent Technology 4

Research on Complex Control of Internet of Things Based on A...

引用

4th international conference on computer Science and Blockchain, CCSB 2024

作者： Li, Yulou Tao, Zhangzhi CCCC Second Harbor Engineering Co. Ltd No.5 Branch Wuhan Hubei China

ISBN: (纸本)9798350356502

With the development and widespread application of IoT technology, there are problems affecting the performance of IoT databases, such as high dimensionality of database parameters and difficulty in parameter classification. this article focuses on the problem of optimizing data parameters in the internet of things. Using AI agent technology, an AI agent database parameter tuning method is proposed to achieve on-demand classification of IoT parameters and effectively expand tuning parameters. through the collaboration and learning of multiple agents, reasonable parameter settings are recommended for IoT databases. Experiments were conducted in three workload environments: YCSB, TPC-C, and Seats. the results showed that compared to other mainstream models, the model proposed in this paper is more likely to expand the number of adjustable parameters for IoT databases and achieve better database performance. © 2024 IEEE.

关键词： AI Agent Database management internet of things

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Design and Implementation of Smart Home Air Monitoring System 24

Design and Implementation of Smart Home Air Monitoring Syste...

引用

4th international conference on computer, internet of things and control engineering

作者： Ma, Yuan Dalian Neusoft Univ Informat Dalian Liaoning Peoples R China

ISBN: (纸本)9798400711848

In order to improve the living environment of users and facilitate their real-time monitoring of the gas environment in their homes for intelligent control, this article designs a smart home air monitoring system based on the internet of things, which can enable people to have a clearer understanding of the air environment indicators in their homes;Add voice control to improve air quality indicators. this system is divided into hardware end and software end. the hardware end includes data acquisition module, control processing module, speech recognition control module, and network deployment module. the data collection module uses LoRa technology for self-organizing networks and data collection, collecting temperature and humidity, CO, CO2, and TVOC concentrations. the control processing module is composed of LoRa core board equipped with corresponding decision actuators, such as ventilation execution and humidification execution. the speech recognition control module is composed of an STM32 gateway connected to an ASRPRO chip, responsible for parsing and executing speech content and sending it to the control processing module. the networking module consists of multiple LoRa core boards, STM32 gateways, and Wi Fi modules. It is responsible for using LoRa self-organizing network technology to network and obtain unified data, and using MQTT to collect and organize the collected data before sending it to Alibaba Cloud servers for storage. We have developed an Android APP using Android Studio on the software side. By connecting to the Alibaba Cloud platform, we can obtain hardware data, view the collected data, and perform control processing. We can dynamically view the air quality in the room and receive different control processing reminders. through testing, this system has achieved intelligent speech recognition, data collection, and terminal linkage control.

关键词： Smart home Intelligent speech recognition Data collection Terminal linkage control

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Resource Allocation for Power IoT Edge Devices Based on Edge Node Collaboration 24

Resource Allocation for Power IoT Edge Devices Based on Edge...

引用

4th international conference on computer, internet of things and control engineering

作者： Wu, Zhengrong Li, Hua Chen, Wenqin Liu, Zilong Du, Shaohui China Southern Power Grid Guangzhou Guangdong Peoples R China Digital Power Grid Technol Guangdong Co Ltd China Southern Power Grid Guangzhou Guangdong Peoples R China

ISBN: (纸本)9798400711848

the current power IoT edge device resource allocation mechanism is mostly set as a basic form, and it is difficult to deal with the allocation according to the preset target, which leads to the low optimization ratio of resource allocation efficiency. In this regard, the design and practical implementation of the resource allocation method for power IoT edge devices based on the collaboration of edge nodes is proposed. According to the current demand for resource allocation processing, mobile edge computing is carried out first, and a multi-level approach is adopted to reduce the actual difficulty of target allocation processing and formulate a multi-level power IoT device resource allocation mechanism. Based on this, the resource allocation model of edge node collaborative power IoT edge device is constructed, and the resource allocation processing is realized by using compression processing and adaptive scheduling. the test results show that compared with the traditional distribution network optimization and maintenance resource allocation method and the digital dual-grid mobile edge network resource allocation model, the designed edge node collaborative power IoT edge device resource allocation method finally achieves a relatively high optimization ratio of resource allocation efficiency, which indicates that the resource allocation method for power IoT edge devices designed based on the principle of edge node collaboration is more efficient, more specific, more targeted, more balanced and more stable in allocation, and has practical application value.

关键词： Edge nodes Node collaboration Power regulation internet of things Edge devices Resource allocation

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Using Real-Time Integrated computer Vision and Deep Learning for Advanced Factory Safety 4

Using Real-Time Integrated Computer Vision and Deep Learning...

引用

4th IEEE international conference on Electronic Communications, internet of things and Big Data, ICEIB 2024

作者： Tsai, Shang-Te Chang, Yu-Cheng Huang, Chao-Yi Yang, Fang-Yuan Chien, Wei Wu, Zong-Rong School Art and Design Sanming University Fujian China National Taipei University of Technology Department of Computer Science and Information Engineering Taipei Taiwan National Yunlin University of Science and Technology Department of Information Management Yunlin Taiwan Lunghwa University of Science and Technology Department of Computer Information and Network Engineering Taoyuan Taiwan National Yunlin University of Science and Technology Department of Technical and Vocational Program in Artificial Intelligence Yunlin Taiwan

ISBN: (纸本)9798350360721

Innovative safety in the workplace is vital as the high safety risks associated with electrical engineering construction can lead to injuries or even fatalities. Using computer vision technology, we experimented with scenarios such as 'normal operations' and 'unexpected incidents' to enhance safety measures. We integrated an internet of things system into the setup, enabling the system to quickly detect and alert to unexpected events in real-time, thereby improving workplace safety. © 2024 IEEE.

关键词： computer vision

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internet-of-things-Enabled Smart Agriculture: Security Enhancement Approaches 4

Internet-of-Things-Enabled Smart Agriculture: Security Enhan...

引用

4th international conference on Innovative Research in Applied Science, engineering and Technology, IRASET 2024

作者： Dargaoui, Souhayla Azrour, Mourade El Allaoui, Ahmad Guezzaz, Azidine Benkirane, Said Alabdulatif, Abdulatif Amounas, Fatima Moulay Ismail University Of Meknes Faculty Of Sciences And Technics Department Of Computer Science Errachidia Morocco Technology Higher School Cadi Ayyad University Essaouira Morocco College Of Sciences And Arts Qassim University Department Of Computer Science Buraydah Saudi Arabia

ISBN: (纸本)9798350309508

the internet of things (IoT) is a network of interconnected appliances, sensors, and databases that aim to improve human life quality in various life fields. To enhance agricultural productivity quantitively and in terms of quality, farmers have adopted the emerging IoT and communication technologies to establish automated monitoring and control systems. this adoption of novel technologies enables farmers to deal with traditional practice problems. However, the solutions provided by this new concept reveal a wide range of research issues. Since security and privacy are the top concerns in IoT environments, it's important to think about potential attacks and develop countermeasures. In this paper, we present a simple security analysis in the IoT-based smart agriculture field. then, considering the crucial role of authentication in IoT security, we reviewed the different classes of authentication in this field. © 2024 IEEE.

关键词： internet of things

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A Comprehensive Analysis of the internet of things (IOT) in the Context of 5G Wireless Systems 4

A Comprehensive Analysis of the Internet of Things (IOT) in ...

引用

4th international conference on Innovative Practices in Technology and Management, ICIPTM 2024

作者： Mohseni, Milad Kanwer, Budesh Singh, Navdeep Krishna, M Hari Rajalakshmi, B. Alkhafaji, Mohammed Ayad Islamic Azad University Department of Computer and Engineering Tabriz Iran Poornima Institute of Engineering & Technology Department of Artificial Intelligence & Data Science India Lovely Professional University Phagwara India Institute of Aeronautical Engineering Hyderabad India New Horizon College of Engineering Department of Computer Science Bangalore India National University of Science and Technology College of Technical Engineering Dhi Qar Iraq

ISBN: (纸本)9798350307757

the fast development of 5G wireless technologies (IoT) has been a major contributor to the rapid growth and expansion of the internet of things! this in-depth study investigates the mutually advantageous relationship between 5G and the internet of things (IoT), focusing on how the combination assists in the development of massive device networks, enhances connectivity, and enables the development of real-time applications. there are now new opportunities for innovative applications in smart cities, industrial automation, healthcare, and other industries owing to 5G, which enables internet of things devices to communicate with one another at a speed and efficiency that has never been seen before. In spite of the benefits, however, there are challenges to be faced, such as the construction of infrastructure to support the expansion of the internet of things and the assurance of robust security. this article provides an analysis of these components and a blueprint for leveraging the advantages of internet of things (IoT) with 5G while minimizing any potential downsides. © 2024 IEEE.

关键词： internet of things

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Research and Application of engineering Interconnection Technology for Intelligent Gateway of Power Distribution IoT 4

Research and Application of Engineering Interconnection Tech...

引用

4th IEEE international conference on Power, Electronics and computer Applications, ICPECA 2024

作者： Xiao, Junyang Luo, Jinge Wu, Xin Cai, Zehan Shenzhen Power Supply Co. Ltd. China Southern Power Grid Shenzhen518028 China

ISBN: (纸本)9798350359589

Intelligent gateway is an edge device in the architecture of distribution internet of things, and detection is an important means of quality control. At present, the research mainly focuses on the technology of access detection and arrival detection. As a link in the whole life cycle of intelligent gateway, there was no research of engineering joint inspection technology before installation. therefore, this paper studies the technology of engineering interconnection technology for intelligent gateway. Firstly, according to the debugging requirements of intelligent gateway, the 'cloud + distributed' joint commissioning architecture is designed to provide a real environment for intelligent gateway project joint commissioning. Secondly, the process of automatic closed-loop joint debugging of intelligent gateway is described in detail, and the hardware and software of the test bench of intelligent gateway are designed to realize the automatic joint debugging of intelligent gateway. Finally, the feasibility of the intelligent gateway project combined with the application of the interconnection is verified to help the development of the distribution internet of things. © 2024 IEEE.

关键词： Automatic closed-loop test Intelligent gateway Power Distribution internet of things Project joint investigation Test bench body

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Embedded computer Vision for Obstacle Detection and Recognition in Intelligent Assistance System for Visually Impaired Individual 4

Embedded Computer Vision for Obstacle Detection and Recognit...

引用

4th IEEE international conference on Electronic Communications, internet of things and Big Data, ICEIB 2024

作者： Yi, Ding Qingdao Engineering Vocational College Qingdao China

ISBN: (纸本)9798350360721

A detection system for obstacles was developed using embedded computer vision techniques for mobile capability and protection for the blind. System implementation, performance monitoring, and model assessments were conducted to develop the system. the proposed system recognizes obstacles and is the most effective in the detection of vehicles. Despite the successful accomplishment, more research is needed to take advantage of new technologies and to fine-tune and perfect the system in terms of accuracy, robustness, usage, pertinence, and effectiveness. © 2024 IEEE.

关键词： Obstacle detectors

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