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检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47502 条记录，以下是11-20 订阅

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Real-Time Traffic Management System Using YOLOv8 and CNN: A Deep Learning Approach with IoT Integration 1

Real-Time Traffic Management System Using YOLOv8 and CNN: A ...

引用

1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Saklani, Sumit Manchanda, Mahesh Sharma, Raman Singh, Devendra Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to be University Dept. of Computer Application Dehradun India

ISBN: (纸本)9798331518578

Traffic management also plays a crucial role in urban planning and development, with pressing challenges related to congestion, safety, and environmental impact. In this study, we proposed a real time traffic control system using YOLOv8 and CNNs combined with Internet of Things (IoT) technologies. As a high-performing object detection model, YOLOv8 is able to accurately and rapidly detect vehicles, pedestrians, and other traffic objects. When combined with CNN based data analytics, the proposed system can successfully monitor traffic flow, discover irregularities, and control the signals dynamically. Creating a cohesive framework for intelligent decision-making IoT integration ensures real-time data acquisition from sensors, cameras and edge devices. IoT framework for a smart urban environment the proposed architecture provides the versatility through scalability, low latency, and adjustment to several urban perspective scenarios. The combination leads to greatly enhanced traffic flow efficiency, accident prevention and environmental impact reduction as experimental results show. With data till October 2023, this study resolves a gap between the developing field of deep learning and the Internet of Things (IoT), that creates to be utilized to connect to advanced town environments. © 2025 IEEE.

关键词： Decision making

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Application research on construction safety management of building engineering based on computer vision technology 24

Application research on construction safety management of bu...

引用

5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Han, Yuanyuan School of Humanities Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798400709999

With the rise of artificial intelligence, the application of computer vision technology in the construction safety management of construction engineering is increasingly *** the application of computer vision technology in the construction safety management is not only an upgrade of the existing safety management mode, but also provides theoretical contributions and technical support for the realization of future intelligent ***, this study discusses the application of computer vision technology in the construction safety management of construction projects by constructing a construction engineering safety control *** framework evaluates the construction safety situation reasonably and quantitatively through the processing process of image acquisition and preprocessing, image recognition, data analysis and control system on the construction *** the visual management of construction site personnel, construction equipment, construction materials, construction standards and construction environment, and improve the safety management effect of construction site. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Project management

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Design of an intelligent Stroller control System 24

Design of an Intelligent Stroller Control System

引用

8th international conference on Electronic Information Technology and computer engineering, EITCE 2024

作者： Luo, Yang Song, Chunhua School of Mechanical Engineering Xihua University Sichuan Chengdu China

ISBN: (纸本)9798400710094

With people’s increasing pursuit of high-quality life and the need for more meticulous care for infants and young children, traditional strollers have been unable to meet people’s daily needs. Therefore, this paper designs an intelligent stroller based on STM32 microcontroller. The system can control the movement of the stroller through mobile phones and iPads (forward, backward, and steering), allow users to select the driving mode of the stroller (front-wheel drive, rear-wheel drive, four-wheel drive, no-power sliding), display real-time information such as the distance to obstacles in front of the stroller, air humidity, atmospheric pressure, air temperature, baby’s body temperature, air pollution level, real-time location of the stroller, GPS satellite information, and visualize various types of information in the form of line charts and bar charts. To verify the system’s functionality, a prototype system has been built. The debugging results show that this design plan is reasonable and has initially achieved the functional requirements of the intelligent stroller system, which has certain practicality and application prospects. © 2024 Copyright held by the owner/author(s).

关键词： Atmospheric humidity

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intelligent Reconfiguration Structure to Enhance 6G Network Transmission 1

Intelligent Reconfiguration Structure to Enhance 6G Network ...

引用

1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Chaudhary, Pavan Kenchappa, Ranganathaswamy Madihalli Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

This study presents a brand-new, extremely efficient mixed reconfigurable intelligent surface (RIS) technique intended to improve coverage area and substantially lower power loss in 6G networks. The Hybrid reconfigurable intelligent surface decision-making algorithm (HRIS-DMA), an effective iterative technique that incorporates accurate user position data to the RIS design, is the main novelty of this technique. This technique minimizes signal attenuation and maximizes signal propagation by constantly modifying RIS components for reflecting as well as redirecting signals depending on present movements of the user. Accurate beamforming along with smart reflection are continually improved via iterative upgrades, are the mechanisms generating the performance increases. This method overcomes the difficulties of the dense & varied installation of the 6G net by guaranteeing strong signal strength & increased coverage. The implementation of the suggested plan in 6G networks shows notable gains in network dependability and signal quality, opening the door for better user experiences and effective communication systems. Three downlink scenarios like zero - little, little - moderate & moderate - numerous obstacles were used to assess the performance of this unique technique using MATLAB R2023a. Compared to traditional base station (BS) handover and simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), the three scenarios exhibit greater coverages. According to the assessment metrics, the evaluation outcomes for the novel HRIS-DMA show that the overall system efficiency is 96% better than that of STAR-RIS and 14% better than that of BS-BS handover. It also shows that there is 71% lesser loss in power, 0.18 μs lower system delay, and 26 dB as well as 13 dB channel gain when compared to traditional STAR-RIS as well as BS handover, respectively. © 2025 IEEE.

关键词： Reconfigurable hardware

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Investigation of a Novel Approach to Facial Emotion Detection Using an Attention-Enhanced Residual Network

Investigation of a Novel Approach to Facial Emotion Detectio...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Liu, Jingran Peng, Cheng College of Computer Science and Technology Xinjiang Normal University Xinjiang Urumqi830054 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

This paper introduces a facial expression recognition method based on a residual network that incorporates a channel-space attention mechanism module. The method enhances the ResNet50 architecture and integrates label smoothing as a regularization technique. These innovations effectively reduce the impact of noise in facial expression recognition tasks, improve the model's generalization ability, and significantly boost recognition accuracy. © 2025 SPIE.

关键词： Face recognition

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Artificial Intelligence in Next Generation IoT Infrastructure: Challenges and Opportunities 1

Artificial Intelligence in Next Generation IoT Infrastructur...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Arabelli, Rajeshwarrao Chotaliya, Dhwanit K. Gadhave, Rajashree Tukaram Haritha, B. Kasireddy, Lakshmi Chandrakanth Soni, Mukesh School of Engineering SR University Department of Electronics and Communications Engineering Warangal India GEC-Rajkot Department of Instrumentation and Control Engineering Gujarat Rajkot360005 India Pillai HOC College of Engineering and Technology Rasayani Tal. Khalapur MH 410207 India St. martin's Engineering College Department of ECE Hyderabad India ThoughtSpot Inc Enterprise DevSecOps Architect R&D - Engineering FranklinTN United States Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Pune India

ISBN: (纸本)9798331518578

Numerous facets of the public realm could be revolutionised by the convergence of the Internet of Things (the Internet of Things) and Artificial Intelligence (AI). This project developed a based-on data predictive maintenance system for manufacturing production lines. One of these anticipated improvements that can be included into the factory's production system is 'AI of Things (AIoT),' which refers to the use of the IoT to carry out intelligent tasks with the aid of AI integration. By using the information created by IoT sensors progressively, the system utilizes machine learning (ML), a part of AI, to recognize expected blunders preceding they happen. The viability of the innovation was surveyed utilizing IoT information from genuine assembling frameworks, and the results of the appraisal demonstrated that the prescient support structure was effective in distinguishing potential failure indicators and could assist with forestalling some production stops. Comparing the performance of ML techniques revealed that frameworks of the bagging ensemble technique Random Forest and the boosting technique XGBoost appeared to outperform each of the techniques in the assessment. The factory's production system now uses the best-performing ML techniques from the present research. © 2025 IEEE.

关键词： Predictive maintenance

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intelligent control Method and Application of Sintering Process 24

Intelligent Control Method and Application of Sintering Proc...

引用

8th international conference on computer Science and Application engineering, CSAE 2024

作者： Xiao, Xuewen Sun, Xiaodong Wu, Fangrui Zhou, Jipeng Tang, Bin CISDI Engineering Co. Ltd. Chongqing Chongqing China Co. Ltd. Chongqing Chongqing China

ISBN: (纸本)9798400718090

Sintering process is one of the most important parts during the whole iron and steel production, the quality of the produced sinter is directly affected by the stability of the sintering process, and high-quality sinter is beneficial to the subsequent iron-making process. As a crucial parameter characterizing the state of the sintering process, burn-through point (BTP) is typically utilized to determine whether current sinter production is stable, therefore the stable control of the BTP is the key to controlling the stability of the entire sintering process. In this paper, an intelligent sintering process control method consisting of two modules is proposed. One module based on the deep neural network (DNN) is designed to achieve accurate prediction of BTP, the other module is designed to stabilize the BTP by adjusting the sintering machine speed, according to the deviation between the predicted BTP from the first module and the target BTP set by the expert. Moreover, the speed adjustment model of sintering machine is established by a convolution neural network (CNN), whose input design is similar to the observation logic of manual adjustment by operators. The experimental results show that the sintering machine speed adjustment recommended by the method is highly consistent with that in the actual sintering production process. The proposed intelligent sintering process control method provides a favorable guidance for the speed adjustment of sintering machine, and implies the foundation for the closed-loop control of the sintering machine speed. © 2024 Copyright held by the owner/author(s).

关键词： Deep neural networks

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Comprehensive Review: Advancing Cognitive Computingthrough Theory of Mind Integration and Deep Learning in Artificial Intelligence 24

Comprehensive Review: Advancing Cognitive Computingthrough T...

引用

8th international conference on computer Science and Application engineering, CSAE 2024

作者： Liu, Shuyan Wang, Kangsheng School of Information Science and Engineering Yunnan University Yunnan Kunming China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798400718090

In this article, we will review our advances in intelligence modeling the mind and explore various efforts to mimic the processes that would allow humans to perform cognition files and line widgets of processing. It presents ideas and stresses how understanding cognitive functions is vital for AI progress. Three principal modeling strategies are examined: cognitive mind modeling, assignation mind modeling, and intelligent body mind modeling. In the article, he explores a few theories, such as symbol systems and the ACT-R framework. It further argues that learning seems limited in encoding models of the mind, citing its successes in language-oriented tasks and its limitations in translating basic mechanisms like reward to model-level language and data from neuroscience. Additionally, it investigates ways of assessing and enhancing learning theory of mind abilities based on tasks that utilize end-to-end function. The review reiterates the need for an improved understanding of human-level thought processing to develop intelligent systems that can better discern intentions and feelings. It provides some ideas on evaluating this based on deep learning approaches. The review argues that viewing learning through the lens of systems yields new insights into human thought and social behavior that could enable the development of novel and more adaptive AI technologies. © 2024 Copyright held by the owner/author(s).

关键词： Contrastive Learning

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advances in Home Care and Real-Time Vital Signs Monitoring 25th

Advances in Home Care and Real-Time Vital Signs Monitoring

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25th international conference on intelligent Data engineering and Automated Learning

作者： Lucca, Giancarlo Dalmazo, Bruno L. Bertaco, Debora Feijo, Jeferson P. de Topin, Luiz Oscar Homann de Oliveira, Icius M. Ribeiro, Luciano M. Univ Catol Pelotas Ctr Ciencias Sociais & Tecnol Mestrado Engenharia Eletron Compu Pelotas RS Brazil Univ Fed Rio Grande ITec FURG Sistemas Robot Automacao Rio Grande Brazil Univ Fed Rio Grande Ctr Ciencias Computac Programa Pos Grad Comput Rio Grande Brazil

ISBN: (纸本)9783031777370;9783031777387

With the advancement of technology, one of the areas that has shown significant progress is healthcare. In this sense, home care has gained considerable prominence nowadays. One of the key issues is the real-time monitoring of vital signs for patients outside the hospital environment. Taking this matter into account, this study provides a general literature review to enhance our understanding of the field. It has been demonstrated that this area exhibits a high publication rate and impact, with intriguing and significant research contributions.

关键词： Healthcare real-time monitoring vital signs

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Enhancing Physical-Layer Security in 6G Networks Through Integrating Irregular Reconfigurable intelligent Surfaces 1

Enhancing Physical-Layer Security in 6G Networks Through Int...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Singh, Shweta Nagappan, Beemkumar Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

Recently, both business and academics have shown an immense amount of interest in reconfigurable intelligent surfaces (RISs) because of its affordability and versatility in modifying the amplitude and phase of wireless signals using inexpensive passive reflecting components. For 6G wireless communication networks, several RIS-assisted methods have been put out to increase data throughput and energy efficiency. Regarding a time-division duplex (TDD) downlink cellular wire-tap network, that comprises of one base station (BS) that has several antennas, several legitimate parts for user equipment (UE), numerous eavesdroppers (EVEs) & several RISs, researcher present an innovative RIS depended channel randomization (RCR) technique in this research to improve physical-layer security (PLS). The terahertz (THz) radio region could be utilized at 6G net, researcher assume that there is only a line-of-sight (LOS) path among RISs, UE and BS. As part of the suggested method, each RIS creates several reflection matrices in a pseudo-random way and then uses for the pilot signal duration (PSD) at the uplink & the data transmission duration (DTD) at the downlink. For each reflection matrix, the BS figures out the UE's wireless channels using all of the RIS's reflection matrices and chooses the UE with an optimal secrecy rate. The presented method achieves higher levels of privacy compared to standard methods. © 2025 IEEE.

关键词： Base stations

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