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检索条件"任意字段=IEEE 4th International Conference on Intelligent Computer Communication and Processing"

共 5812 条记录，以下是91-100 订阅

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Embedded Parking Slot Detection and Classification for Smart City Scenarios 20

Embedded Parking Slot Detection and Classification for Smart...

引用

20th ieee international conference on intelligent computer communication and processing conference, ICCP 2024

作者： Lungoci, Toma Negru, Mihai Technical University of Cluj-Napoca Department of Computer Science Cluj-Napoca Romania

ISBN: (纸本)9798331539979

As cities are becoming more crowded due to the population moving to urban areas, smart parking and management are essential elements of the transportation system. there are efforts in developing vision-based automated parking systems by detecting the ground markings accurately in real-time from multiple surround-view cameras. We are not interested in automated parking, but in collecting relevant parking occupancy statistics from the city streets. In this paper, we propose a novel method based on a single front-view camera and a convolutional neural network (CNN) for detecting the parking slots and classifying them based on occupancy. this information collected by the camera is sent to a central processing cloud and can serve as a basis for many Smart City parking management applications, by providing useful dynamic occupancy statistics. © 2024 ieee.

关键词： Convolutional neural networks

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Design of Urban Waterlogging Monitoring and Early Warning System Based on Internet of things Technology 4

Design of Urban Waterlogging Monitoring and Early Warning Sy...

引用

4th international conference on Electronic Information Engineering and computer communication, EIECC 2024

作者： Zhang, Jiayi Liu, Yanming Zhang, Lu Guangxi Vocational Normal University College of Computer and Information Engineering Nanning China

ISBN: (纸本)9798331534622

With the acceleration of urbanisation, the problem of urban flood prevention is becoming more and more serious, and urban flooding caused by large-scale rainfall poses a serious threat to people's lives and urban infrastructure. In order to effectively deal with urban flooding, this paper proposes an urban waterlogging monitoring and early warning system based on internet of things Technology, aiming to reduce urban flooding through real-time monitoring, data analysis, intelligent early warning, and effective scheduling. this paper designs the overall architecture of the system, including hardware composition and software design, and provides an in-depth analysis of the main modules. the effectiveness of the system is verified through testing, and the results show that the system has high real-time and reliability. © 2024 ieee.

关键词： Software testing

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End-to-End SNR Capacity and throughput enhancement Using Non-Orthogonal Multiple access and Massive MIMO in 5G 4

End-to-End SNR Capacity and throughput enhancement Using Non...

引用

4th international conference on intelligent Technologies, CONIT 2024

作者： Upadhyay, Deepak Upadhyay, Abhay Gupta, Mridul Sharma, Kunj Bihari Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Dept. of Electronics and Communication Engineering Dehradun India

ISBN: (纸本)9798350349900

this study provides a detailed analysis of the potential improvements in 5G network performance due to the adoption of NOMA and Massive MIMO technologies. Obtaining higher data rates, reduced latency, and increased overall network capacities remain a primary objective, and the research provides a comparison based on simulated data. Simulation models are designed to compare the proposed model against the conventional implementation of 5G networks based on a set of primary indicators, namely, throughput and latency. An abstract Wave Efficiency indicator is also presented to showcase a new metric for determining the qualitative improvements in signal processing and spectrum utilization. As the results of the research have demonstrated, the incorporation of NOMA and Massive MIMO increases overall network throughput while reducing latency. this demonstrates the potential contributions of these technologies to making wireless communications systems more efficient and reliable. the introduction of the Wave Efficiency is offered as a measurable variable for displaying the qualitative improvement in the wireless communications technologies, facilitating further implementation of NOMA and Massive MIMO in 5G networks. © 2024 ieee.

关键词： 5G mobile communication systems

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Deep Learning Fusion Ensemble for Enhanced Traffic Sign Detection Using the ICTS Dataset 4

Deep Learning Fusion Ensemble for Enhanced Traffic Sign Dete...

引用

4th ieee international conference on Applied Electromagnetics, Signal processing, and communication, AESPC 2024

作者： Majhi, Samir Kumar Gupta, Rahul Kumar Ojha, Binayak Sapkota, Aaron Muduli, Debendra C.V. Raman Global University Department of Computer Science Bhubaneswar India

ISBN: (纸本)9798331528171

Traffic Sign Identification and Detection(TSID) sys- tems are vital components of advanced and smart driving systems as well as autonomous vehicles. Our proposed model, based on deep learning, specifically trains and evaluates convolutional neural networks (CNN) using ensemble pre-trained models such as VGG16 and ResNet50 from the field of transfer learning for image classification and combines them in a fusion ensemble model. We leveraged data augmentation strategies to increase the training images during preprocessing. Our data and outcomes show that the fusion of the proposed model performed better, achieving a classification accuracy of 99.70 % using the ICTS (Indian Cautionary Traffic Sign) dataset compared to some traditional models. © 2024 ieee.

关键词： Convolutional neural networks

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Design and Implementation of Parallel Deterministic Network System 4

Design and Implementation of Parallel Deterministic Network ...

引用

4th international conference on computer Science, Electronic Information Engineering and intelligent Control Technology, CEI 2024

作者： Zhao, Xuyang Zhang, Xingming Zhu, Jun Li, Heyuan Zhang, Fujun Chen, Xia The Intelligent Computing Infrastructure Innovation Center Zhejiang Lab Hangzhou China

ISBN: (纸本)9798350378542

With the current development of industrial Internet technology, the number of interconnected industrial control devices is increasing, the throughput of key data in industrial Internet networks is increasing, and the requirements for deterministic data processing are increasing. Traditional industrial control systems generally use low-performance single-core processors, which operate the collected industrial data in a single-core and single-threaded manner, resulting in poor key data processing capabilities and a lack of data scheduling capabilities. With the development of industrial Internet technology and deterministic network technology, the parallel data processing capabilities of multi-core SoCs can effectively meet the needs of industrial real-time networks. the data flow of the industrial Internet network uses custom data identification and a parallel data processing mechanism. the data faces macro operations such as data packet matching, parsing, and forwarding to establish models, provide accurate execution mechanisms for devices in the time dimension, and effectively ensure high throughput and low-latency deterministic transmission of industrial control data. © 2024 ieee.

关键词： System-on-chip

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Comprehensive Real-Time Intrusion Detection System Using IoT, computer Vision (OpenCV), and Machine Learning (YOLO) Algorithms 4

Comprehensive Real-Time Intrusion Detection System Using IoT...

引用

4th international conference on Ubiquitous Computing and intelligent Information Systems, ICUIS 2024

作者： Uke, Shailaja Junghare, Pranay Kenjale, Shrishti Korade, Srushti Kothwade, Aniket Vishwakarma Institute of Technology Dept of Computer Engineering Pune India

ISBN: (纸本)9798331529635

the objective of this project is to develop an advanced quality human intrusion detection system, integrating IoT hardware with advanced software technologies. this will be done by relying on real-time video footage and using image processing techniques in the identification process of human presence and other potential threats, such as weapons. A face recognition module will be attached, which will let the entry of only authorized people and immediately detect unauthorized intrusions. the system includes live alerts for efficient monitoring and protection of secure places. this system, with high algorithms used and strong hardware, is scalable and reliable, proving to be fully comprehensive in relation to the potential threats against the security offered. © 2024 ieee.

关键词： Network intrusion

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Machine Learning-Driven Anomaly Detection: A Comprehensive Model for Digital Security 4

Machine Learning-Driven Anomaly Detection: A Comprehensive M...

引用

4th international conference on Ubiquitous Computing and intelligent Information Systems, ICUIS 2024

作者： Samarth, S. Sumukha Raghavan, M. Santhosh, T. Kowligi, Sahana J. Pooja, M.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9798331529635

this research study proposes a novel approach for behavioral tracking and anomaly detection in digital systems by using AI-driven models, particularly for applications in signal processing and digital computer environments. the proposed AI model combines techniques of behavioral tracking, aiming at identifying deviations in the operations of the system, while enhanced monitoring and anomaly identification are the focus. this methodology captures subtle deviations in user behavior and system signals to enhance real-time security and system integrity, thereby reducing the likelihood of unauthorized access and system misuse. © 2024 ieee.

关键词： AI Models Anomaly Detection Behavioral Tracking Digital Systems

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HOI-Based Method for Detecting Cell Phone Behavior in Industrial Safety Production Environments 4

HOI-Based Method for Detecting Cell Phone Behavior in Indust...

引用

4th international conference on computer Science, Electronic Information Engineering and intelligent Control Technology, CEI 2024

作者： Nong, Zijian Shi, Shaofei Jiang, Chi Zhang, Ke Zhang, Yin Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Guangdong Intelligent Robotics Institute Dongguan China

ISBN: (纸本)9798350378542

To address the practical problems of algorithm inference timeliness and the complex environment in industrial settings, the presented dissertation introduces a comprehensive human-object interaction recognition technique, leveraging the attention-based architecture of the Transformer model. By sampling key features at different scales from the industrial complex environment and using Transformer's attention mechanism to aggregate global information, the algorithm achieves accurate detection of targets in complex environments while eliminating post-processing processes such as non-maximal value suppression to achieve real-time detection. Moreover, a deformable attention module is used to optimize small target detection and the multi-headed attention mechanism of Transformer, which adaptively adjusts the position and shape of the feature extraction window, reducing the computational effort of the attention computation process and accelerating the model training time. the investigation outcomes reveal that the introduced HOI-centric technique for identifying mobile phone infractions within industrial safety contexts exhibits superior accuracy in detection and notable enhancements in computational efficiency when benchmarked against other sophisticated algorithms in the expanded mobile phone category within the HICO-DET dataset. © 2024 ieee.

关键词： Object detection

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Research and Analysis of Industrial Data Acquisition and communication Technology 9

Research and Analysis of Industrial Data Acquisition and Com...

引用

9th international conference on intelligent Computing and Signal processing, ICSP 2024

作者： Miao, Qing Xuan, Yueqian School of Information Engineering Jinan Engineering Polytechnic No. 6088 Jingshi East Road Shandong Province Jinan City250200 China

ISBN: (纸本)9798350376548

this paper aims to analyze the various data communication methods and market demands of industrial instrumentation and programmable controller, propose solutions and design requirements for various data communication, summarize and form multiple basic data acquisition communication gateways, and upload terminal database in a unified format. Some constructive suggestions are put forward for data acquisition and communication of various industrial fieldbuses in the market. © 2024 ieee.

关键词： Gateways (computer networks)

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Optimization Methods of Deep Neural Networks on Automotive Embedded Computing Systems 20

Optimization Methods of Deep Neural Networks on Automotive E...

引用

20th ieee international conference on intelligent computer communication and processing conference, ICCP 2024

作者： Birtocian, Ada-Ioana Drǎgan, Iulia-Andreea Negru, Mihai Robert Bosch Srl Cluj-Napoca Romania Technical University of Cluj-Napoca Department of Computer Science Cluj-Napoca Romania

ISBN: (纸本)9798331539979

We investigate various methods of neural network optimization with the purpose of reducing runtime and maintaining performance when deployed on embedded devices. the proposed approaches follow both improvements upon the general architecture of the deep neural models, as well as possibilities of increasing hardware utilization and employing scheduling and parallelization techniques. the presented solutions significantly improve the runtime and the behaviour of neural networks when deployed on embedded targets. the optimization strategies improve the runtime by approximately 3%-4% when applied on traditional Convolutional Neural Networks. Meanwhile, the analyzed Birds-Eye View Transformer benefited from an improvement ranging from 38% up to 83% depending on the utilized hardware and the quantization range. thus, we stress the importance of taking advantage of the available hardware resources in order to reach the best possible results in terms of execution runtime. © 2024 ieee.

关键词： Neural network models

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