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

共 5837 条记录，以下是331-340 订阅

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Application of computer Aided 5G Technology in Wireless intelligent Network communication System 4

Application of Computer Aided 5G Technology in Wireless Inte...

引用

4th ieee Annual Flagship India Council international Subsections conference, INDISCON 2023

作者： Xu, Yunwu Li, Yan College of Guangdong Songshan Polytechnic Electrical Engineering Guangdong Shaoguan China

ISBN: (纸本)9798350333558

the application of computer-aided 5G technology in wireless intelligent network communication systems has completely changed our communication methods. 5G technology is the fifth generation mobile network, providing faster network speed, lower latency, and higher capacity. this technology has been integrated into wireless intelligent network communication systems to enhance communication between devices. the use of 5G technology in wireless intelligent network communication systems enables faster and more efficient data transmission, which is crucial for real-time applications such as video conferencing, online games and autonomous vehicle. In addition, this technology improves the reliability of wireless networks by reducing interference and increasing coverage. In addition, computer-aided 5G technology makes it possible to develop new applications that were previously impossible to implement due to connection limitations. For example, remote surgery can now be performed using augmented reality technology that requires high-speed internet connectivity. In summary, the application of computer-aided 5G technology in wireless intelligent network communication systems has changed our communication methods by providing faster network speeds, lower latency, higher capacity, and new applications. therefore, this technology will continue to shape our future by strengthening the connections between various industries. © 2023 ieee.

关键词： Online systems

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Optimized Design of the Neutron Source Data Acquisition and processing System 4

Optimized Design of the Neutron Source Data Acquisition and ...

引用

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

作者： Zhou, Hanxiang Yang, Yalong Zhang, Rui Huang, Hao Anhui Jianzhu University Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving AnHui Hefei China Tianjin Vocational Institute Tianjin China

ISBN: (纸本)9798331534622

In neutron source experiments, electrode breakdown events frequently occur, leading to operational anomalies. To improve the functionality of the neutron source data acquisition system, optimizations and enhancements were implemented. A breakdown detection board was added to the acquisition module design to monitor breakdown events in real time and send the breakdown signals as triggers to the acquisition system. To conserve system storage resources, the system is designed to perform high-frequency data acquisition during breakdown events and switch to low-frequency acquisition when no breakdown occurs. the Model Driven System Plus (MDSplus) data model was customized for the data storage module, effectively compressing the storage space required for neutron source data. Additionally, waveform data from one second before and after the breakdown event can be visualized separately, with a sliding zoom feature for detailed analysis. Testing shows that the optimized system meets experimental requirements, allowing researchers to more easily observe breakdown waveforms and frequency. this enables timely adjustments to the neutron source accelerator's electrode spacing, reducing the likelihood of breakdown events. © 2024 ieee.

关键词： Electrodes

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Keyframe Extraction Approaches for intelligent Video Analysis 4

Keyframe Extraction Approaches for Intelligent Video Analysi...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Sabarivasan, N. thangavel, Senthil Kumar Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9798331523923

Real-time violence detection is essential for protecting the safety and security of people, especially in college campuses that are dynamic and have crowds. Manual surveillance systems are popular but inefficient as they require human attention all the time and are not capable of quickly identifying and responding to violent *** the exsisting violence detection model takes quite a time for processing the entire video. the proposed model extracts features as keyframes from the video using MobileNet V3 and K-medoids clustering. the redundancy of video data can be avoided and significant violent activities identified by isolating and analyzing critical frames from video data. this enhances the efficiency and responsiveness of surveillance systems. this work primarily contributes a customized violent activities dataset and implementing keyframe extraction algorithm for optimizing the usage of computational resources, and incorporating lightweight algorithms for seamless deployment with existing CCTV networks. the experimental results clearly demonstrate the ability of this approach to detect keyframes, thereby offering a scalable and practical solution. © 2025 ieee.

关键词： Security systems

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Research on intelligent System of Complex Structured Light three-Dimensional Measurement Based on Machine Vision 4

Research on Intelligent System of Complex Structured Light T...

引用

4th ieee international conference on Data Science and computer Application, ICDSCA 2024

作者： Xu, Zhihua Xu, Wenquan School of Design and Art Jingdezhen Ceramic University Jingdezhen China

ISBN: (纸本)9798350368239

this system integrates complex structured light projection and machine vision imaging technology to achieve efficient and accurate measurement of three-dimensional structures. In order to deal with the high computational load and error problems of traditional methods in data processing, this paper designs an image processing solution based on compressed sensing algorithm. By means of compressed sensing technology, the quantity of data is effectively decreased during the process of image collection and data reconstruction, thus remarkably lessening the computational load. this approach not only streamlines the data-processing procedure but also enhances the measurement precision of the system on complex surfaces, allowing the system to attain a better equilibrium between real-time performance and accuracy. To confirm the performance and superiority of the algorithm, this paper builds multiple test models in a simulation environment and comprehensively assesses the impact of the compressed sensing algorithm by contrasting the measurement results under different structured light modes. the experimental outcomes demonstrate that in comparison with the traditional method, the proposed algorithm exhibits remarkable advantages in handling complex curved surfaces and unevenly reflecting surfaces. It can keep low inaccuracies while guaranteeing high precision and has strong sturdiness against external interference. Specific data show that the measurement error of the system under complex surface conditions is controlled within 0.05 mm, meeting the needs of high-precision measurement. ©2024 ieee.

关键词： complex structure compressed sensing algorithm Machine vision optical 3D measurement

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An intelligent Forecasting Classification Model for Traffic Analysis using Machine Learning Techniques 4

An Intelligent Forecasting Classification Model for Traffic ...

引用

4th international conference on Advances in Electrical, Computing, communication and Sustainable Technologies, ICAECT 2024

作者： Kishor, Bodla Tiwari, Rajesh Patra, Raj Kumar Pinjakar, Latika Singh, Mahesh Cmr Engineering College Dept. of Computer Science and Engineering Hyderabad India Cmr Technical Campus Dept. of Computer Science and Engineering Hyderabad India Symbiosis Institute of Technology Dept. of Computer Science and Engineering Nagpur India Shri Shankaracharya Technical Campus Dept. of Eee Durg Bhilai India

ISBN: (纸本)9798350343670

In addition to taking care of the normal citizens, Road Traffic protection is also one of the main issue for corporations governing the transportation. We use data mining techniques to get the hidden matter from the database. the applications of Data mining is there in various fields such as fraud detection, marketing and many more. Many countries were affected due to many decisions that were taken by the governments one such issue is globalization. this has brought some drastically changes in the intake level and the financial related activities and this has given a boost to transportation department. Understanding the importance of the street protection the authorities are putting effort to know the reasons behind the street accidents. the increase in the street injuries made it difficult to determine the limitations of the street injuries. this paper explains the street injuries frequency from analysing the database. this work is about 95% efficient. © 2024 ieee.

关键词： classification data mining machine learning traffic analysis Transportation models

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Driver Drowsiness Detection System Using Artificial Intelligence 4

Driver Drowsiness Detection System Using Artificial Intellig...

引用

4th ieee international conference on Computing, communication, and intelligent Systems, ICCCIS 2023

作者： Shraddha Bhusan, Bharat Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350306118

Technology has advanced quickly to enhance the quality of human life. Bicycles were the primary means of transportation during the early 1900s. It's impossible to envision living without a car in the modern day. Although it offers many benefits, there are undoubtedly some life-threatening drawbacks. the chance of an accident increases when a motorist is fatigued, threatening both their own life and the lives of other drivers. therefore, by identifying the driver's mouth and eye regions and developing a 'Driver Drowsiness Detection System,' this paper aims to address the serious problem of drowsiness and weariness. Drowsiness is a state between the alertness and tiredness which result in losing focus and leads to accidents. To solve this problem, this system is designed using Artificial Intelligence. the system for detecting exhaustion included yawn detection and EAR (Eye Aspect Ratio), which were later combined with the Convolutional Neural Network model to increase the efficacy of the drowsiness detection model. this paper discussed various AI techniques like Machine Learning, Haar Cascade Classifier, and OpenCV and concludes that this system can detect driver drowsiness using AI and reduce the risk of accidents. © 2023 ieee.

关键词： Aspect ratio

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Design of Video English Teaching System Based on computer 5G Technology and Advanced Algorithms 4

Design of Video English Teaching System Based on Computer 5G...

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4th international Signal processing, communications and Engineering Management conference, ISPCEM 2024

作者： Qin, Huang Hunan College of Foreign Studies Changsha China

ISBN: (纸本)9798331528676

the high data latency in real-world applications makes the standard online training platform incompatible. As a result, online video-based English teaching system is created using computer algorithms and 5G wireless network communication technologies. the Multimedia English online teaching platform's overall architecture is created with the actual functional requirements of online instruction in mind. the main controller, memory, and data collector hardware are used in this architecture to create the platform. the software components can be separated into two sections according to 5G wireless network communication technology and advanced computer algorithms. It is composed of several useful modules. the administrator, teacher, and student submodules' primary tasks serve as the foundation for the creation of the platform's functional modules. Simultaneously, the analytic hierarchy method and the evaluation domain are combined to calculate the weight of the indicators and establish the quality evaluation of online multimedia English instruction. the platform design is finished with the level model. the experimental findings demonstrate that the platform's test results are following expectations and have the potential to significantly raise the standard and effectiveness of online video-based English instruction. the average teaching efficiency is 96.27%, and the quality of instruction is consistently greater than 95%. ©2024 ieee.

关键词： 5G mobile communication systems

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AES Encryption for Secure Storage and Transfer of Patient Health Records using Blockchain Technology 4

AES Encryption for Secure Storage and Transfer of Patient He...

引用

4th ieee international conference on Computing, communication, and intelligent Systems, ICCCIS 2023

作者： Hasan, Farheen Dakhane, Dhananjay Vidhate, Amarsinh Ramrao Adik Institute of Technology DY PatilDeemed to Be University Computer Engineering Navi Mumbai400706 India

ISBN: (纸本)9798350306118

the thesis emphasises the critical role that cryptography-more especially, AES and DES encryption-plays in protecting private communications transmitted over wireless channels, especially when it comes to safely preserving patient health records. the suggested solution uses a blockchain network and AES/DES encryption to guarantee data transformation traceability and foster patient and healthcare provider trust. It deals with problems with centralised Electronic Health Record (EHR) systems, which may lead to fragmented medical records across multiple organisations and serve as a single point of failure, which could lead to incorrect diagnoses. the primary thesis is to develop a blockchain-based system for the safe trading and storing of vital health assets. It describes the characteristics, benefits, and uses of encryption methods, with a focus on the AES and DES algorithms' use for secure server and user communication. © 2023 ieee.

关键词： Blockchain

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A Fast three-Dimensional Imaging Algorithm for Millimeter Wave Radar Based on FiNUFFT 4

A Fast Three-Dimensional Imaging Algorithm for Millimeter Wa...

引用

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

作者： Zeng, Letian Zhang, Sheng Zou, Yunhuai Li, Jingzhao Mao, Qi School of Intelligent Manufacturing Shunde Polytechnic Guangdong Foshan China Xi'An Institute of Space Radio Technology National Key Laboratory of Science and Technology on Space Microwave Shannxi Xi'an China

ISBN: (纸本)9798350378542

Millimeter wave radar is characterized by high penetration and low radiation, and its three-dimensional imaging capabilities enable the acquisition of richer target information. this has led to its widespread use in near-field three-dimensional imaging. Nevertheless, three-dimensional imaging necessitates the processing of a greater quantity of data, which in turn requires a higher computational efficiency. the interpolation operation involved in the commonly used frequency domain imaging algorithm is time-consuming and susceptible to interpolation errors, which ultimately degrades the imaging quality. this paper presents a fast three-dimensional imaging algorithm based on the Flatiron Institute Nonuniform fast Fourier transform (FiNUFFT). By substituting the traditional Stolt interpolation and subsequent fast Fourier transform (FFT) with FiNUFFT, the errors introduced by the interpolation operation are avoided and high-quality reconstruction is guaranteed with a notable increase in computational efficiency. A simulation experiment validates the effectiveness of the proposed algorithm. © 2024 ieee.

关键词： Interpolation

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Music to Score Conversion using Machine Learning 4

Music to Score Conversion using Machine Learning

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4th ieee international conference on Data Engineering and communication Systems, ICDECS 2024

作者： Julian, Anitha Mukund, Vibha Saveetha Engineering College Department of Computer Science and Engineering Chennai India Saveetha Engineering College Department of Computer Science Chennai India

ISBN: (纸本)9798350393354

the Music to Score Conversion (MSC) project focuses on bridging the gap between auditory and visual representations of music. It uses signal processing techniques for the conversion such as pitch estimation, onset detection, fourier transform and Constant Q Transform. the study also explores real-time conversion for music education and production, as well as strategies to increase accessibility for individuals with hearing impairments. Rigorous testing on diverse datasets demonstrates the potential of these methodologies to revolutionize various aspects of the music industry. this research not only advances MSC but also offers crucial insights into its transformative impact on musical experiences and inclusivity across diverse audiences and sectors, enabling seamless translation from auditory to visual musical representations. © 2024 ieee.

关键词： Music

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