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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11254 条记录，以下是4511-4520 订阅

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Review of Infrared Object Detection Algorithms for Low-light Background 3

Review of Infrared Object Detection Algorithms for Low-light...

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3rd international conference on Image Processing and Intelligent Control, IPIC 2023

作者： Wei, Jianguo Qu, Yi Ma, Yanbin Graduate Student Brigade Engineering University of People's Armed Police Xian China College of Information Engineering Engineering University of People's Armed Police Xian China Library of Teaching and Research Support Center Engineering University of People's Armed Police Xian China

ISBN: (纸本)9781510668140

At present, object detection algorithm using artificial intelligence technology plays an increasingly important role in the field of computer vision, and plays an extremely important role in such practical application scenarios as automatic driving, urban monitoring, national defense, military and medical assistance. Different from visible light imaging, infrared imaging technology uses detectors to measure the infrared radiation difference between the object itself and the background, overcoming the difficulty of low light intensity and realizing infrared object detection in the low-light scene. In this paper, the traditional infrared object detection algorithm for low light background and infrared object detection algorithm based on deep learning are reviewed, and the current representative classical algorithms are compared, and the characteristics of the model combined with the actual application scenarios are analyzed. Finally, the difficulties and challenges that the current infrared object detection task facing are described, and the research direction of infrared object detection is prospected. © 2023 SPIE.

关键词： Object detection

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Dynamic feature removal method based on relative geometry 3

Dynamic feature removal method based on relative geometry

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3rd international conference on Artificial Intelligence and computer engineering, ICAICE 2022

作者： Meng, Shaojie Huang, Miaohua Hou, Yang Ren, Yanyong Hubei Provincial Key Laboratory of Modern Auto Parts Technology Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Center of Auto Parts Technology Wuhan University of Technology Wuhan China Hubei New Energy and Intelligent Connected Vehicle Engineering Technology Research Center Wuhan Wuhan China

ISBN: (纸本)9781510663473

Simultaneous Localization and Mapping(SLAM) research has become a hot spot in computer vision field. Static worlds are assumed in most existing SLAM systems. When traditional systems work in dynamic environment, the results of visual odometer will be affected by dynamic objects, resulting in low matching accuracy and poor performance. Aiming at the poor performance of traditional algorithms in dynamic environment, this paper proposes a new feature point extraction algorithm based on local feature matching relative geometry structure, which can efficiently extract robust features from image sequences in dynamic environment. Experimental results show that the features of dynamic objects can be correctly ignored by the proposed algorithm, and the feature matching accuracy can reach 98.8%, while maintaining the real-time property (the processing time of the same image with ORB is only 0.055ms longer). © 2023 SPIE.

关键词： Geometry

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Research on Building Crack Width Monitoring Method Based on computer Vision 3

Research on Building Crack Width Monitoring Method Based on ...

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3rd international Signal Processing, Communications and engineering Management conference, ISPCEM 2023

作者： Wang, Houyan Xiao, Shuoting Ningbo Youzuo Construction Technology Company Zhejiang Ningbo China Institute of Civil Engineering and Architecture Ural Federal University Ekaterinburg Russia

ISBN: (纸本)9798350307023

As construction projects enter a new era, building crack width monitoring has entered a stage of high-quality development. It is necessary to propose image processing propositions that better meet the needs of crack width monitoring for building safety by focusing on the deep learning idea with image segmentation as the core. Based on the dynamic evolution of image processing development, according to the internal logic of the convolutional neural network, a theoretical analysis framework for the development of image segmentation is constructed. It can explain the image segmentation development mechanism jointly generated by the image processing mechanism and the optimization loop mechanism involved in image sampling and segmentation. From the perspective of quality change and practical deduction of image segmentation development, the possibility of moving towards the high-quality development goal of building crack width monitoring is further explored. The purpose of developing building crack width monitoring is to provide crack width estimates that meet expected standards for construction projects, which is committed to continuously improving the quality of crack width and improving the satisfaction of crack width monitoring. Therefore, it is necessary to strengthen the image segmentation control based on the quality of the inner loop of the convolutional neural network. Establishing an interaction and feedback mechanism between image segmentation and perception of the quality of a construction project, as well as establishing an evaluation system for image segmentation and monitoring of the crack width of a building, which will achieve high-quality development of building crack width monitoring, promote construction project safety, and truly meet the needs of construction projects. © 2023 IEEE.

关键词： Image segmentation

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Enhancing Fleet Management with ESP8266-based IoT Sensors for Weight and Location Tracking 3

Enhancing Fleet Management with ESP8266-based IoT Sensors fo...

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3rd international conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023

作者： Degadwala, Sheshang Upadhyay, Rocky Upadhyay, Shivam Dave, Shrinal S Mahida, Digvijaysinh Vyas, Dhairya Sigma University Department Department of Computer Engineering Gujarat India Drs. Kiran & Pallavi Patel Global University Dept. of IT Vadodara India Drs. Kiran & Pallavi Patel Global University Dept. of CSE Vadodara India University of Massachusetts Boston BS Computer United States KSET KPGU University CSE Department Gujarat Vadodara India The Maharaja Sayajirao University of Baroda Gujarat Vadodara India

ISBN: (纸本)9798350343632

This research study explores the implementation of ESP8266-based Internet of Things (IoT) sensors to enhance fleet management systems. In the context of logistics and transportation industries, accurate and real-time tracking of vehicle weight and location plays a crucial role in optimizing operations, ensuring compliance with regulations, and improving overall efficiency. The proposed system employs ESP8266 microcontrollers equipped with load cells for weight measurement and GPS modules for location tracking. These sensors collect and transmit data to a central server, enabling the fleet managers to access the critical information required for route planning, regulatory compliance, and safety. Furthermore, this study discusses about the cost-effectiveness and scalability of ESP8266-based IoT sensors by highlighting their potential to streamline fleet management practices while reducing operational costs, fuel consumption, and carbon emissions. This research study serves as a valuable resource for industry professionals and researchers interested in leveraging IoT technology to enhance fleet management. © 2023 IEEE.

关键词： ESP8266-based sensors Fleet management IoT technology location tracking logistics optimization regulatory compliance weight tracking

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A Coupled CFD-DEM Simulation for Optimization of Tobacco Stems Separation Efficiency in a Cylindrical Separator 3

A Coupled CFD-DEM Simulation for Optimization of Tobacco Ste...

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3rd international conference on Applied Mathematics, Modeling and computer Simulation, AMMCS 2023

作者： Tang, Jun Yi, Bin Lin, Wenqiang Wen, Yadong Xin, Chengrong Liu, Yue Yin, YanChao Zhou, Bing Technology Center China Tobacco Yunnan Industrial Co. Ltd Yunnan Kunming650024 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Yunnan Kunming650051 China

ISBN: (纸本)9781643684581

To remove the stem from the cut tobacco and improve the quality of the cigarettes, a second winnowing process is added to the primary separator to reduce the loss of the tobacco leaves. The separation effect of the high stem proportional tobacco stream coming from the primary winnowing process was simulated based on the CFD-DEM coupling method. Three different lengths of tobacco models were established to give a more realistic tobacco size distribution. The velocity contour in the circular chamber of the second separator with four different inlet speeds is illustrated to analyze the fluid field characteristic. The proportion of leaves and stems in the upper and lower outlets after winnowing was calculated to obtain separation efficiency. The results suggest a better separation effect with the inlet speed of 7.5 m/s at tobacco stream feed rates of 500 kg/h and 1000 kg/h. © 2023 The Authors.

关键词： Tobacco

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Efficiency Optimization of Asynchronous Motor with Particle Swarm Algorithm Incorporating Parameter Identification 3

Efficiency Optimization of Asynchronous Motor with Particle ...

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2023 3rd international conference on electrical, Electronics, and Computing technology, EECT 2023

作者： Tong, Di Guo, Zhen Zhao, Yan-Cheng Chen, Shuang Nai, Ji-Qiu Ye, Ming-Hao School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China

Asynchronous motors are commonly utilized in industrial and agricultural production due to their inexpensive manufacturing cost and reliable structure. However, due to the demands of production and everyday usage, these motors may be operated at no or light load for long periods of time, resulting in a decrease in the efficiency of the motor system. A model-referenced adaptive parameter identification in combination with a particle swarm algorithm is proposed in this paper to enhance the operating efficiency of asynchronous motors. This control strategy can reduce motor power loss and improve efficiency. Simulation model is established and simulation results are provided to verify the feasibility of the proposed control strategy for optimizing the efficiency of asynchronous motors. © Published under licence by IOP Publishing Ltd.

关键词： Induction motors

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Powerpoint Slide Presentation Control Based on Hand Gesture 3rd

Powerpoint Slide Presentation Control Based on Hand Gesture

引用

3rd international Semantic Intelligence conference, ISIC 2023

作者： Kumar, Ankit Singh, Kamred Udham Kumar, Gaurav Singh, Teekam Choudhury, Tanupriya Kotecha, Ketan Department of Computer Engineering and Applications GLA University UP Mathura India School of Computing Graphic Era Hill University Dehradun India Department of Computer Science and Engineering Graphic Era Deemed to Be University Dehradun India Uttarakhand Dehradun248007 India Symbiosis Centre for Applied Artificial Intelligence Symbiosis Institute of Technology Symbiosis International University Pune411045 India

ISBN: (纸本)9789819773558

HCI, which stands for "human–computer interaction," has been increasingly concerned with natural interaction methods in recent years. Various ways we interact with computers have benefited from the development of real-time hand gesture recognition programs. The detection of hand motions calls for the use of a camera. The primary form of participation is the employment of a web camera as a virtual human–computer interaction device. In this body of work, we look into how vision-based HCI methods of the present day make use of hand gestures. In the event that consumers are unable to utilise any input device or touch it, this project becomes incredibly useful. Gesture recognition makes it possible to complete an activity without physically accessing the usual input devices (mouse, keyboard, etc.). The user may doodle with his index finger and use his index and middle fingers together to control the pointer's movement on the screen. The user may erase their artwork using the tips of their index, middle, and ring fingers. Using their little finger, the user may go on to the next file, and using their thumb finger and pointing to the left, they can return to the previous file. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Gesture recognition

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Design of a Low-Cost IoT-Based Wearable System for Cardiovascular Disease Detection and Monitoring in Rwanda 3

Design of a Low-Cost IoT-Based Wearable System for Cardiovas...

引用

3rd IEEE international conference on Signal, Control and Communication, SCC 2023

作者： Sumwiza, Kellen Twizere, Celestin Rushingabigwi, Gerard Bakunzibake, Pierre Ishengoma, Farian S. African Center of Excellence in the Internet of Things College of Science and Technology University of Rwanda Kigali Rwanda East African Center of Excellence in Biomedical Engineering E-Health University of Rwanda Kigali Rwanda University of Rwanda Department of Electrical and Electronics Kigali Rwanda Sokoine University of Agriculture Department of Informatics and Information Technology Morogoro Tanzania United Republic of

ISBN: (纸本)9798350326390

This paper addresses the problem of inadequate and costly cardiovascular disease monitoring in low-and middle-income countries, such as Rwanda. The proposed solution is an innovative, low-cost Internet of Things-based wearable system that enables non-invasive monitoring of patients' health. This wearable sensor device measures heart rate, blood pressure, and blood oxygen saturation levels, providing real-time data through wireless transmission to a mobile application, which is further sent over WiFi for storage. When the data deviates from predefined thresholds, it triggers real-time alerts, connecting patients with the appropriate medical support. The system's primary objectives are to enhance affordability, accessibility, and energy efficiency while reducing treatment delays for cardiac patients. This technology has the potential to make a significant impact on healthcare in low- and middle-income nations by offering real-time, cost-effective care in patients' homes. The hardware components, including an OLED 0.93 display module, Arduino (NODE MCU V3) as the central processing unit, and the MAX30102 sensor, provide accurate data at a total cost of approximately 23.11. © 2023 IEEE.

关键词： Blood pressure

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Performance Analysis and Comparison of Various Charging Pads in IPT for Electric Vehicles 3

Performance Analysis and Comparison of Various Charging Pads...

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3rd IEEE international conference on Smart Technologies for Power, Energy and Control, STPEC 2023

作者： Prasad, Kavita Kiran Rajanikant Agarwal, Vivek Indian Institute of Technology Dept of Electrical Engineering Bombay Mumbai India

ISBN: (纸本)9798350304732

Inductive Power Transfer (IPT) is emerging as one of the promising charging technologies for Electric Vehicles (EVs). With this technology, the power transfer takes place between two charging pads wirelessly, one on the ground and another attached to the vehicle's chassis. The type of charging pad used plays a significant role in determining the overall performance of IPT system and is, therefore, critical for the system. This paper presents a detailed comparison of the performance of various types of charging pads that are typically used in an IPT system, including rectangular, DD (two 'D' shaped pads), DDQ (two 'D' shaped pads along with a Quadrature 'Q' pad), and Bipolar. These pads are designed according to test-specifications in the Standard SAE J2954. The performance parameters presented here include the coupling-coefficient between the two charging pads and the power loss (in the ferrite, copper, shield, etc.) considering lateral misalignment in X and Y directions at different air-gaps. The paper also discusses which type of pad would be more suitable, considering these performance parameters. The analysis for the proposed work is performed through simulations in ANSYS Maxwell 3D. These findings are helpful in determining the suitable charging pads to meet the application requirements. © 2023 IEEE.

关键词： Charging Pads Electric Vehicle (EV) Inductive Power Transfer (IPT) Misalignment Tolerance Power Loss Wireless Charging

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Privacy-Preserving sensitive data on Medical diagnosis using Federated Learning and Homomorphic Re-encryption 3

Privacy-Preserving sensitive data on Medical diagnosis using...

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3rd IEEE international conference on Intelligent Technologies, CONIT 2023

作者： Dasari, Jahnavi Joshith, Telugu Sai Daya Lokesh, Duddupudi Kumar, Sanjipogu Sandeep Mahato, Ganesh Kumar Chakraborty, Swarnendu Kumar National Institute of Technology Department of Computer Science & Engineering Arunachal Pradesh India

ISBN: (纸本)9798350338607

Federated learning is an emerging technique that allows multiple participants to train a shared model without exchanging their private data. This approach is particularly useful for IoT applications, where data is often collected locally and stored in distributed devices like edge nodes. Privacy concerns arise when using IoT devices to record medical data for distributed learning. Techniques such as differential privacy and federated learning can help ensure data security while preserving privacy. Encryption and secure multi-party computation can also be used to securely share and compute data. By training a model on a combination of data from these devices. In the medical research, federated learning can be used to train models on data from multiple healthcare devices such as wearables, smart medical sensors, and electronic health records. By training models on local data, healthcare providers can improve the accuracy of diagnosis and treatment while protecting patient privacy. Security analysis can involve evaluating the potential vulnerabilities and risks of the system and identifying measures to protect against them. Experimental results can involve testing the performance of the system in terms of accuracy, convergence speed, and other metrics, and comparing it to other methods. © 2023 IEEE.

关键词： Diagnosis

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