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Research of online learning status monitoring based on deep learning

Research of online learning status monitoring based on deep ...

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computer Engineering and intelligent control (ICCEIC) international conference on

作者： Zhi Li Jiaxin Wang Jiahao Wei Houbin Wang Business School South China Normal University Guangdong China School of Economics Guangdong University of Finance & Economics Guangdong China School of Economics Minzu University of China Beijing China School of Resources and Environmental Engineering Ludong University Shandong China

In contrast to traditional classroom settings, online teaching leverages network technology to facilitate instruction. A pressing challenge in this domain is the effective monitoring of students’ engagement levels to optimize learning outcomes. Addressing this, the present study introduces a deep learning-based online classroom system equipped with a learning status monitoring feature. This system employs image processing techniques and software development to capture and analyze students’ postures during online sessions, thereby providing educators and guardians with comprehensive insights into students’ engagement levels.

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Home Automation Using Wi-Fi: ESP32-Based System for Remote control and environmental monitoring

Home Automation Using Wi-Fi: ESP32-Based System for Remote C...

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distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE international conference on

作者： Abdul Lateef Haroon P S Mohammed Shafiulla Shaik Mohammed Naveed Suhail Ahmed Shaik Mohammed Nawaz Utkarsh Kumar Department of Electronics and Communication Engineering Ballari Institute of Technology & Management Ballari India Department of Computer Science and Engineering Ballari Institute of Technology and Management Ballari India Department of Computer Science and Engineering Ballari Institute of Technology & Management Ballari India Department of Artificial Intelligence and Machine Learning Ballari Institute of Technology & Management Ballari India

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318616

This project introduces a comprehensive home automation system leveraging Wi-Fi connectivity and ESP32 micro controllers, aimed at enhancing modern living through seamless automation and user-centric design. The background emphasizes the fusion of IoT technology with home automation, highlighting Wi-Fi's significance in enabling remote monitoring and control of household devices. Methodologically, the project integrates relay modules and DHT11 sensors, orchestrated through a user-friendly smartphone application. Results demonstrate successful implementation and testing, showcasing functionality, reliability, and user-friendliness. Real-time environmental monitoring and remote appliance control fulfill the objectives of enhancing home comfort, convenience, and energy efficiency. The conclusion underscores the project's contribution to advancing smart home technologies, offering users a scalable and customizable solution. Future research opportunities include enhancing system capabilities and addressing security and privacy concerns.

关键词： Energy efficiency Sensor systems Real-time systems environmental monitoring Reliability Relays Wireless fidelity

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Smart monitoring System for Small-scale Wind Turbine Model

Smart Monitoring System for Small-scale Wind Turbine Model

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2022 IEEE international conference on distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Sudharsan, G. Srinivasa Vishnupriyan, J. Anand, K. Vijay Chidambarathanu, K. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Chennai Institute of Technology Center for Energy Research Chennai India R.M.K. Engineering College Department of Electronics and Instrumentation Engineering Chennai India R.M.K. Engineering College Department of Computer Science and Business Systems Chennai India

ISBN: (纸本)9781665483162

The most pressing challenges in the development of fossil fuel energy resources are their high value and scarcity. Therefore, renewable energy achieved through the mismanagement of natural resources is one of the most important aspects defining the energy crisis. Solar, wind, geothermal and recurring event energy are examples of assets. The cost of wind turbines is much higher compared to diesel generators. Moreover, regular maintenance costs often account for up to one-twentieth of the total cost of a rotary engine. However, accidental failure of certain elements such as blades, gearboxes, supports, brake systems can lead to high costs. Identifying parts of a system with human resources or intelligent systems helps to stop and reduce serious failures. Therefore, a completely different condition monitoring system has been applied to wind turbines, providing a great opportunity to develop a large space for analysis in the fields of structural turbine condition monitoring and field condition monitoring systems. Assessing the health of critical system components can help you become more aware of failed components and reduce maintenance time and costs. By using a completely different kind of sensor for the rotary engine components and using the right control and data acquisition systems, a complex condition monitoring system is provided. © 2022 IEEE.

关键词： Wind turbines

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intelligent livestock nameplate based on STM32 4

Intelligent livestock nameplate based on STM32

引用

4th international conference on Robotics, intelligent control and Artificial Intelligence, RICAI 2022

作者： Yang, Zihan Chen, Peiran Li, Zhuoyue Wu, Yonghua He, Yingyan Wang, Ke Chen, Xi Chen, Yenhsun Xu, Zhiming School of Information and Intelligent Engineering Guangzhou Xinhua University China

ISBN: (纸本)9781450398343

In response to the reform and upgrading wave of traditional animal husbandry informatization, this project designed an intelligent balance management system that can be worn by animals. It is used for cattle, sheep, camels, and other livestock species that can be grazed. GPS+ Beidou locator can achieve accurate acquisition of livestock coordinate data. The upper computer algorithm is integrated to track the animal trajectory and draw the electronic fence. Then the individual data will be uploaded to the big data platform, and the intelligent farming management system will automatically collect and integrate the data of the whole process of the pasture with the help of the Internet of Things, cloud computing, big data, mobile Internet, and other technical means. To point to the network analysis, basic data management, cattle genealogy archives, precision feeding, health monitoring, breeding management, epidemic prevention, diagnosis and treatment, environmental control, smart reminder, statistics and analysis, and death of livestock and poultry disposal records, and other functions such as the whole life cycle of individual's ranch running and event monitoring, early warning. To promote the informatization transformation and upgrading of China's animal husbandry, the management of livestock is implemented by the units and individuals to achieve accurate development and energy-saving development. © 2022 ACM.

关键词： Informatization

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A Water Level Ruler Recognition Method Based on Deep Learning Technology 19th

A Water Level Ruler Recognition Method Based on Deep Learnin...

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19th international conference on Advanced intelligent Computing Technology and Applications (ICIC)

作者： An, Jingbo Song, Kefeng Wu, Di He, Wanxian Yellow River Water & Hydropower Dev Grp Co Ltd Chengdu Peoples R China Yellow River Engn Consulting Co Ltd Zhengzhou 450003 Peoples R China Guangxi Acad Sci 98 Daling Rd Nanning Guangxi Peoples R China

ISBN: (纸本)9789819947607;9789819947614

Water level data is important information for flood control command and dispatch, and monitoring the water level accurately and effectively is essential for irrigation works. A water level ruler is one of the most common tools for measuring water level owing to its low cost and simplicity of use. Recently, some researchers attempted to use computer vision technology to automatically identify the scale value of the water ruler. However, most of them produced unsatisfactory results due to shifting illumination, background, and other environmental variables. To improve the robustness of the model, we proposed a water-level ruler recognition method based on deep learning technology. Specifically, we first used a deep learning-based object detection model to detect the water ruler. Then the character 'E' of the ruler was further detected by the Yolov5 model. Finally, we designed a CRNN-based model to recognize the detected characters and used the total length of the ruler to subtract the detected length of characters to gain the water level. We collected a water ruler dataset from the realistic scene, which contains 1160 ruler images and 439 character images. Experiment results on the collected dataset and the real scene show that our approach achieved good performance, which has applicative value and brilliant prospects.

关键词： deep learning water level monitoring water ruler

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Research on Multi Objective Optimization Algorithm for distributed intelligent Distribution Network Based on Improved Genetic Algorithm 25

Research on Multi Objective Optimization Algorithm for Distr...

引用

Proceedings of the 4th international conference on computer, Artificial Intelligence and control Engineering

作者： Changming Cai Yingjun Hou Liang Ma Hongjun Li Mingjie Sun Hang Jiang State Grid Fujian Electric Power Co. LTD. Xiamen Power Supply Company Xiamen Fujian China State Grid Economic and Technological Research Institute Co. LTD. Beijing China

ISBN: (纸本)9798400712647

This project takes the distributed intelligent distribution network as the research object and establishes a mathematical model for comprehensive evaluation, focusing on the main indicators of economy, reliability, and environmental benefits. Constraints such as power balance, voltage, and line capacity are defined. To solve the model, this paper modified the genetic algorithm by introducing new crossover and mutation probabilities, elite retention strategy, and multi-objective optimization processing methods. Through typical case analysis and comparison with traditional algorithms, the results show that this algorithm has significant advantages in terms of economy, reliability, and environmental friendliness. Sensitivity analysis reveals the impact of factors such as the penetration rate of distributed power sources and the capacity of energy storage devices on optimization results, providing effective reference for distribution network planning and operation.

关键词： distributed intelligent distribution network

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A software approach for analysis and reasoning of urban floods using GIS and SWMM 11

A software approach for analysis and reasoning of urban floo...

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11th international conference on Structural Health monitoring of intelligent Infrastructure, SHMII 2022

作者： Ghodke, Sharad Rangari, Vinay Ashok Bodile, Roshan M. Bagchi, Ashutosh Building Civil and Environmental Engineering Department Gina Cody School of Engineering and Computer Science Concordia University MontrealQCH3G 1M8 Canada Nanasaheb Mahadik College of Engineering Peth Naka Maharashtra Sangali415 407 India

Planning of floodplain management is now very difficult in the urban areas as the construction activities at urban centers almost reached its peak. To deal with such situations analyzing the adequacy of the drainage network of vulnerable areas by considering extreme rainfall events is necessary. Further, Hydrologic and hydraulic models capable of producing flood maps may help in reducing the severity of problem. This study presents a simple sophisticated approach to analyze the existing drainage network for a part of Hyderabad, India. Software such as Arc-GIS v10.1 is used to process the preliminary data and create a geodatabase for model development and simulations. The simulation results identified the junction nodes (J9, J12-14, J16, J21, J23, J25-26 of zone XII;J2-4, J8-10, J20 of zone XIII) are surcharged and induce flooding situation in nearby area due to overflowing. © 2022 international conference on Structural Health monitoring of intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

关键词： Flood control

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IoT-Enabled Systems for Automated Cat Care: A Comprehensive Literature Review

IoT-Enabled Systems for Automated Cat Care: A Comprehensive ...

引用

international conference on Cybernetics and intelligent System (ICORIS)

作者： Stephanie Angela Jolin Tiomar Justin Anthony Sudijanto Mochammad Haldi Widianto Computer Science School of Computer Science Bina Nusantara University Bandung Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

In its connection, these abstract aims to introduce the paper by explaining how the innovation of IoT has changed pet care by performing feeding, health monitoring, and environmental control features that were proven problematic with conventional techniques. Thus, this literature review seeks to assess the existing literature and track the innovations on the subject of IoT applications in cat care. In the present investigation, by using a PubMed database search of recent articles, the study proves that IoT devices immeasurably improve cat care through telemetry and a distance interface. However, issues like privacy, security, and costs are still among some of the difficulties that organizations face. The results highlight the future possibilities of IoT in cat care and urge for the studies into avenues for the creation of improved secure and inexpensive solutions for the welfare of cats.

关键词： Technological innovation Privacy Costs Organizations Internet of Things Security Telemetry intelligent systems monitoring Systematic literature review

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Research on regional personnel monitoring technology based on channel state information 7

Research on regional personnel monitoring technology based o...

引用

7th international conference on intelligent Computing and Signal Processing, ICSP 2022

作者： Mai, Kaijun Lu, Xinghua Luo, Guohua Cheng, Jinglong Guangzhou Huali College Institute of Computer Control Technology Guangzhou China

ISBN: (纸本)9781665478571

In view of the shortcomings of traditional camera and sensor type monitoring, such as blind spots, limited recognition distance and sensitive scene limitations, this paper proposes a human activity detection and monitoring method based on channel-state-information (CSI). The CSI information of the WiFi signal in the monitored area. Next, use the Butterworth low-pass filter to detect and remove abnormal data. And then use the principal component analysis (PCA) to extract the features of the human body posture, gait information, and number of people model;Learn to build a number recognition model for CSI data;because everyone is different, gait information can be used as an ID for human identification to identify different identities, and the human gait information based on Dynamic Time Warping (DTW) can be Effective identification, so as to play the effect of regional environmental monitoring. In the experiment, this method can achieve 92% capture performance for human gesture recognition, more than 93% error in indoor area recognition is less than 1, and the correct rate of gait recognition is up to 95.2%. © 2022 IEEE.

关键词： Personnel

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Low and Medium Frequency Portable intelligent Electrotherapy Device based on Embedded Integrated Circuit and Deep Learning

Low and Medium Frequency Portable Intelligent Electrotherapy...

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distributed Systems, computer Networks and Cybersecurity (ICDSCNC), international conference on

作者： Yuehua Bai Lehan Zhao Aobo Qitong Mingjian Yuan Bing Liu Rui Cao School of Life Science North China University of Science and Technology Tangshan China School of Electrical Engineering North China University of Science and Technology Tangshan China

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

Recently, intelligent medical devices have drawn much attention in rehabilitation and chronic disease treatment. This paper focuses on the design and implementation of a portable low- and medium-frequency intelligent electrotherapy device based on embedded integrated circuit technology and deep learning technology. The device applied GBDT and CNN models into processing and analyzing the electrotherapy data in order to enhance its intelligence and usability. In the application of experiments, it treated sports injury rehabilitation and chronic diseases with the device. The GBDT model showed a high-precision prediction ability, which may set the parameters precisely, and the CNN model improved generalization ability by effectively extracting features. The results prove that a deep learning-based data processing approach will greatly improve the performance of the device and bring a good user experience. Future work will include model parameter optimization, extension of application scenarios in clinics, incorporation of wireless communication technology for remote control and data monitoring to further expand the use of intelligent electrotherapy devices in medical and rehabilitation settings.

关键词： Deep learning Wireless communication Predictive models Feature extraction Data models User experience Integrated circuit modeling Remote control Diseases Sports

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