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Research and Analysis of Recommendation Technology 5

Research and Analysis of Recommendation Technology

引用

5th international conference on Advanced Electronic Materials, Computers and software Engineering, AEMCSE 2022

作者： Liu, Chang Wang, Hongjuan Yu, Mengbei Zheng, Jianchang Beijing Institute of Graphic Communication School of Information Engineering Beijing China Beijing Institute of Graphic Communication School of New Media Beijing China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

With the continuous development of the network, a variety of resources can be spread through the Internet, a large number of data will cause information overload in the network, how to efficiently obtain the information they need has gradually become a subject that can be studied independently. the recommendation system can filter out effective information according to the needs of users. this paper describes the current research situation of recommendation system. the traditional recommendation methods, recommendation based on deep learning and recommendation based on reinforcement learning are analyzed in detail. Finally, the problems and challenges faced by the recommendation system are discussed. © 2022 IEEE.

关键词： Recommender systems

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Indoor Positioning system Using LiFi Based Network for Mobile Robots 5

Indoor Positioning System Using LiFi Based Network for Mobil...

引用

5th Biennial international conference on Nascent Technologies in Engineering, ICNTE 2023

作者： Paul, Dev Shankar Tasnin, Washima Vellore Institute of Technology School of Electrical Engineering Tamil Nadu Vellore India

ISBN: (纸本)9781665465045

LiFi is a communication technology that enables wireless transmission of data using light. With mobile robots finding more and more indoor applications in hospitals, museums, airports etc., indoor localisation has become all the more essential. this paper aims to demonstrate the functioning of a LiFi based localization system by the means of simulation. the mathematical time series model of NRZ-OOK modulation and the optical power distribution are prepared in MATLAB in order to evaluate the functioning of the proposed system. To validate and test the performance of the same, a white LED of wavelength 550nm is set-up as the transmitter in our system and simulated using the Optisystem software, both with and without the presence of ambient light noise. A maximum speed of 10Gbps with a BER (Bit Error Rate) of 5.15585×10-11 is achieved for a link range of 1m in ideal conditions. this work also proposes an optimal filtering scheme that provides a high Q factor and a low BER for VLC (Visible Light communication) systems, even in the presence of ambient light noise. © 2023 IEEE.

关键词： Visible light communication

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Research on lightweight safety protection methods for vehicle bus communication 5

Research on lightweight safety protection methods for vehicl...

引用

5th international conference on Artificial Intelligence and Computer Science, AICS 2023

作者： Zhang, Heng Wang, Hongrong Lai, Chenguang China Automotive Engineering Research Institute Co. Ltd. Chongqing401122 China State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing401122 China School of Vehicle Engineering Chongqing University of Technology Chongqing400054 China

ISBN: (纸本)9781510668621

this paper analyzes and studies the problem of large consumption of computing and bandwidth resources in the application of the security onboard communication scheme in the vehicle-mounted embedded system, proposes a possible solution, and uses software encryption in the vehicle-mounted embedded ECU to verify and test the proposed security protection scheme, and compares the performance of applying several commonly used encryption algorithms to secure the bus communication data, At last, the paper gives a relatively more suitable protection scheme for the classical CAN and CAN-FD communication. © 2023 SPIE.

关键词： Vehicles

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Research and Development of Waste Sorting system Based on Improved YOLOv5 Algorithm and Attention Mechanism in Edge Environment 5

Research and Development of Waste Sorting System Based on Im...

引用

5th international conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024

作者： Yang, Ying Chen, Jielin Xu, Zehua Li, Jundong Lin, Zeye Guangdong Communication Polytechnic Guangzhou510080 China Wuyi University Jiangmen529000 China

ISBN: (纸本)9798331533991

To address the limitations of traditional garbage sorting methods that rely on manual intervention, this paper presents an innovative intelligent waste classification system that combines deep learning-based image recognition technology with automated robotic arm control for the efficient identification and classification of four typical types of household waste. the core innovation of the system lies in the use of an improved YOLOv5 model, employing a lightweight MobileNet as the backbone network to achieve efficient feature extraction and incorporating an attention mechanism to enhance classification accuracy. By assigning greater weight to important features, the model significantly improves its ability to capture key waste characteristics, thereby increasing recognition accuracy. In terms of hardware selection, after evaluating various modules, the K210 module was ultimately chosen due to its outstanding advantages in power consumption, control capabilities, and intelligence performance. the control system is centered around the STM32F103C8T6 microcontroller, which centrally manages the waste recognition module, robotic arm, power supply, and communication modules, enabling real-time waste recognition and classification while coordinating the robotic arm and vehicles for efficient waste processing. the the system also developed the mobile terminal software enhancing the user interaction experience. Testing results indicate that this intelligent waste classification system demonstrates high intelligence, accurate waste classification capabilities, and good real-time operational performance along with modular expandability. Overall, this paper provides a new solution for intelligent waste classification by combining deep learning and automation technologies, promoting development in related fields, and showcasing the broad potential of deep learning in practical applications. © 2024 IEEE.

关键词： Robotic arms

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Testing the Serial Data Streaming Feature of Microsoft Excel using an Angle Control system 5

Testing the Serial Data Streaming Feature of Microsoft Excel...

引用

5th IEEE international conference on communications, Information, Electronic and Energy systems, CIEES 2024

作者： Mituletu, Ion-Cornel Muresan, Vlad Technical University of Cluj-Napoca Dept. of Automation Cluj-Napoca Romania

ISBN: (纸本)9798350352863

In the paper, a method to achieve a hardware-software control system is presented, it could be an example for other control algorithms developing as well as an alternative to high-cost control implementation, especially in the research area. the hardware side consists of two ESP32 for high-speed and real-time wireless data exchange and an Arduino Due as USB interface with the PC. the angle value is acquired from a six-axis gyro-accelerometer sensor and send to the control algorithm implemented in Excel, which provides the command value to control the angular position. Wireless data transmission at high-speed is accomplished using ESP-NOW protocol designed by Espressif, and the serial communication between Arduino DUE and Excel is facilitated by Data Streamer a Microsoft developed add tool. Tests performed on the simulated drone arm show interesting characteristics that can be obtained if control technics are implemented in common software as Excel, also defining a low-cost method possible to be widely used in the future researches. © 2024 IEEE.

关键词： Aircraft communication

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Environmental Monitoring and Evaluation system Based on Radio Fingerprint Recognition Algorithm 5

Environmental Monitoring and Evaluation System Based on Radi...

引用

5th IEEE international conference on Power, Intelligent Computing and systems, ICPICS 2023

作者： Na, Yongliang Lou, Yazhuo Xu, Qingmei Li, Xuan Sun, Shuyang Department of Ecology and Environment of Chengde Hebei Province Chengde067000 China Chengde Dongling Environmental Monitoring Co. Ltd Chengde067000 China

ISBN: (纸本)9798350333442

In recent years, with the rise of the research upsurge of the third-generation mobile communication system, a new round of software radio research has been set off. the purpose of this paper is to study the environmental monitoring and evaluation system based on the radio fingerprint identification algorithm. the wireless channel is introduced, and the radio monitoring technology is deeply analyzed and researched by using the radio frequency fingerprint algorithm and wavelet transform. At the same time, the environmental monitoring and evaluation system based on the radio fingerprint identification algorithm is completed, and the overall process of environmental monitoring and evaluation is designed. the system simulates the received signal of the antenna, and firstly performs digital intermediate frequency processing in order to reduce the requirements for the system. Use wavelet identification method and radio frequency fingerprint identification analysis method to identify. Taking the environmental monitoring and evaluation system as the research object, the realization scheme of using software radio technology to identify radio stations and monitoring receiver radio signals is discussed, and the feasibility of the design is verified by simulation. © 2023 IEEE.

关键词： Wavelet transforms

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Development and Research of English Defect Reporting software Based on Natural Language Processing 5

Development and Research of English Defect Reporting Softwar...

引用

5th international conference on Computers, Information Processing and Advanced Education, CIPAE 2024

作者： Wei, Siyu Xi'an Eurasia University Shaanxi Xi'an China

ISBN: (纸本)9798331527662

this paper aims to explore an innovative English defect reporting software that utilizes natural language processing (NLP) techniques, particularly hybrid neural networks and attention mechanisms, to improve the accuracy and readability of English defect reporting. the research focuses on English pronunciation defect recognition and aims to provide software developers with an intelligent defect report writing and review tool by integrating advanced algorithms and simulation techniques. Firstly, this study proposes an English pronunciation defect recognition model based on hybrid neural networks and attention mechanisms. the model uses deep learning algorithms to automatically identify and correct pronunciation errors in reports, while using attention mechanisms to improve the ability to capture key information in the text. this integrated approach effectively improves the language quality of defect reporting and reduces the communication barriers caused by language problems. Secondly, a comprehensive natural language processing system is developed, which not only includes the pronunciation defect recognition module, but also includes grammar checking, vocabulary suggestion and context understanding. through the organic combination of these functions, the system can provide users with a full range of language support to ensure the professional and clear defect report. Finally, the simulation experiment of the system algorithm is carried out to evaluate its performance in practical application. the experimental results show that the developed system performs well in identifying pronunciation defects and providing language recommendations, significantly improving the quality of defect reporting. © 2024 IEEE.

关键词： Natural language processing systems

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Implementation of an Unmanned Gas Inspection system for Coal Mines 5

Implementation of an Unmanned Gas Inspection System for Coal...

引用

5th international conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Zhang, Weiguo Automation Co. Ltd. Changzhou213015 China

ISBN: (纸本)9798350357950

In response to the current situation of coal mine gas inspection and the shortcomings of traditional manual gas inspection and intelligent gas inspection, this paper introduces an implementation method of an unmanned coal mine gas inspection system. On the basis of constructing the lora wireless network in the coal mine underground, this method realizes a network communication method of local wireless network and underground backbone ring network;Considering that gas inspection sites in coal mines involve many communication and power supply cables that are difficult to lay, wireless multi-parameter inspection equipment, electronic fence equipment, etc. have been adopted to achieve automatic inspection and alarm;Finally, in conjunction with the upper computer system software and mobile APP application, the fully automatic control process of gas inspection was completed, ensuring the authenticity and reliability of gas inspection data, greatly saving human resources investment on the coal mine site. © 2023 IEEE.

关键词： automatic inspection electronic fence gas inspection lora wireless network multi-parameter inspection equipment

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Control Strategy Based on Vision for Security in communication systems 5

Control Strategy Based on Vision for Security in Communicati...

引用

5th IEEE international conference on Computing, Power, and communication Technologies, IC2PCT 2024

作者： Bhati, Sunita Bhati, Anita Shah, Bharti Pachauri, Divya Alleema, N.Noor Patel, Mayank Jecrc University Jaipur India Jaipur National University Jaipur India Gls University Faculty of Computer Applications & It Ahmedabad India Nitra Technical Campus Ghaziabad India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Chennai India Geetanjali Institute of Technical Studies Udaipur India

ISBN: (纸本)9798350383522

Forests are crucially important to maintaining ecological balance and providing all essential life services. Still, the constant protection against illegal, destructive exploitation is a difficult challenge that many people do not think about. - To address this issue, a new camera-based access control system for entry and exit to the protected forest areas that minimizes the number of people with insider knowledge is used for. Unauthorized access to sensitive or restricted areas is eliminated. - In an increasingly vulnerable world where greedy exploitation and human invaders abound, it has now become an urgent need to look after forests. To protect protected forest areas against such threats as loss of habitat, illegal logging, and poaching and the damage done to ecosystems (once their borders are crossed), one must rely on stringent security measures. - Traditional forest preservation strategies lack comprehensive monitoring and access control. But that's why security and refurbishment of forests are such pressing issues now-and why this project is so vital. - Our system aspires to provide real-time surveillance, access control, and automated alerts if any unauthorized human activity occurs within protected forest areas;for this we need cutting edge hardware and software technologies. the main goal is to create a secure, reliable, efficient access control system for protected forest areas, which presents special problems. - the system will use a camera and software on the basis of the ESP32 to capture and analyze images for identity verification. Unauthorized individuals trying to gain entry will trigger an alert for subsequent investigation or logging. - the study of the camera-based access control system covers the design, installation and testing as well as its operation. this includes hardware/software components and system architecture, which integrates with the Blynk cloud-based server to provide data storage and analytics. - Emphasis: there should be a conce

关键词： alert and notification cloud flood monitoring iot

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Design and Implement for Intelligent Water Quality Detecting and Alarm system 5

Design and Implement for Intelligent Water Quality Detecting...

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5th international conference on Artificial Intelligence and Electromechanical Automation, AIEA 2024

作者： Kang, Xiaona Tang, Fu Chengdu Neusoft University Dept. School of Computer and Software Chengdu China Chengdu Neusoft University Dept. Chengdu School of Computer and Software Chengdu China

ISBN: (纸本)9798350366174

nowadays, people begin to pay more and more attention to the environmental protection of the ocean and lake water. We can find there are many products on the market that are about testing the quality of drinking water, but there are no products about testing the water quality of lakes, reservoirs and so on. So we want to design and develop a system that can detect water quality in real time and make alarms. In 2022, we officially approved the project to start research and develop intelligent water quality detecting system. the system mainly includes the following functions: First, it can detect water quality data in real time, such as temperature, pH, TDS and other parameters by using various sensors;second, it can send the data to the PC or mobile phone in real time and show it in the screen;third, it supports scenario customization. the system can judge whether the water quality data is normal according to the scenario set, and decide whether to issue an alarm;Fourth, In order to ensure normal data transmission outdoors, the system supports WIFI, Lora and 4G communication;Fifth, it supports two power supply modes: solar energy and lithium battery;sixth, it supports remote control mode, which means when it works in the large body of water, we can use the remote control to direct the device to the area where we want to detect;Last, it supports check the historical data through a discountable graph or a graph. Sony SPRESENSE development board is used for the main board;Using Turbidity sensor, temperature sensor, TDS sensor and PH sensor for detecting water quality data. After one and a half years' development, we finished all the development and release it. © 2024 IEEE.

关键词： Lithium batteries

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