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检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2097 条记录，以下是201-210 订阅

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Proceedings - 2023 3rd international conference on Networking systems of AI, INSAI 2023

Proceedings - 2023 3rd International Conference on Networkin...

引用

3rd international conference on Networking systems of AI, INSAI 2023

ISBN: (纸本)9798350344660

The proceedings contain 23 papers. The topics discussed include: design and research on visual recognition system for fruit sorting collaborative robot;research on network flow anomaly identification and detection model based on deep learning;application of image security transmission encryption algorithm based on chaos algorithm in networking systems of artificial intelligence;a lip-reading method based on bottleneck attention module;gesture recognition based on spatial-temporal fusion residual attention network;wireless communication and environmental monitoring design of smart home system;a switching strategy generation scheme for space-air-ground smart grid based on improved genetic algorithm;and deep learning based resource allocation of satellite-assisted emergency rescue network for power grid.

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Research on Intrusion detection Method Based on Machine Learning Algorithm and Big Data technology 3

Research on Intrusion Detection Method Based on Machine Lear...

引用

3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Li, Junhua Geely University of China Sichuan Province Chengdu city641423 China

ISBN: (纸本)9798350319125

With the popularization and application of Internet technology, people are easy to steal valuable information by cyber attackers in the process of using computer networks and electronic products. In order to maintain a good network environment and protect people's interests, network security issues need to be solved. The role of intrusion detection technology in big data platform and feature selection is particularly important, but there is a problem of inaccurate result evaluation. With the rapid development of network technology, the problem of network security has become increasingly prominent. As an important part of network security, intrusion detection plays an important role in preventing network attacks and maintaining system stability. In recent years, the application of machine learning algorithm and big data technology in the field of network intrusion detection has gradually attracted wide attention. This paper mainly discusses the role of these technologies in the process of intrusion detection and its impact on detection results. © 2023 IEEE.

关键词： Big data platform cybersecurity Machine learning algorithms neural network algorithms

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detection and Security in Falls with IoT Server 3

Detection and Security in Falls with IoT Server

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3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Kavitha, C. Sridevi, N. Dhivagar, D. Department of Information Technology Villupuram India Sathyabama Institution of Science and Technology Department of Computer Science and Engineering Chennai India Department of It Department of Information Technology Villupuram India

ISBN: (纸本)9781665462167

Heart rate (HR) and Heart rate variability (HRV) have received a great deal of attention that promises to change the dimension of awareness of health and fitness while swimming. HRV is very useful to understand physiological and psychological status of an individual. The variation in HR, provides a reliable information about the role of Autonomic Nervous system (ANS). HRV is very convenient to understand the overall physiological status of an individual. Due to individuality of the HRV, regular monitoring HRV is useful to understand training adaptation, load, recovery, overtraining. The study provides a brief concept on HR and HRV in swimming individual. Although RR intervals are highly individual centric but due to same practice pattern or same type of physical activity, the swimmer group has very small quartile range. A significance difference in RR intervals between control group and swimmer group may come from two different effects of the nervous system. Either it indicates a significant increase in parasympathetic tone due to normal training adaptation or a sign of overtraining that has caused increase in parasympathetic tone. High HRV denotes good indication of positive adaptation, good cardiovascular efficiency. Low HRV score indicates deterioration in VO2max. © 2023 IEEE.

关键词： Internet of things

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Research and Analysis of Eddy Current Testing technology 3

Research and Analysis of Eddy Current Testing Technology

引用

3rd international conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Li, Deqing Zhao, Lina School of Traffic and Electrical Engineering Dalian Institute of Science and Technology Lvshun Liaoning Dalian116052 China

ISBN: (纸本)9798350318180

Eddy current nondestructive testing is a field of considerable concern at present. As a newly emerging subject field, it has great vitality. On how to improve the level of detection field, this design applies MATLAB simulation software to realize the scientific operation and visual output of the mathematical expression of probe impedance when the detection probe is located above the double-layer conductive structure. So as to analyze the relationship between the electrical conductivity, magnetic permeability, thickness and coil impedance of the tested material. And the model can be used to study how to remove the interference caused by lift-off, edge and related factors to eddy current detection. The impedance model of cylindrical hollow coil is selected. It is the fundamental purpose of this design to get the detection value accurately and quickly so as to reconstruct the defects and cracks. © 2023 IEEE.

关键词： control system detection probe eddy current detection impedance MATLAB

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Analysis of audit methods for high security cross-region video conference 3

Analysis of audit methods for high security cross-region vid...

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3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Tian, Yanhui Institute of Computer Applications Caep Mianyang China

ISBN: (纸本)9781665490788

The persistence of the epidemic has made inter-regional teleconferencing one of the main ways for organizations to work. As a special information system, the conventional auditing method can not cover the key points of information security of video conference service. Therefore, this paper analyzes the characteristics of organization video conferencing services, and analyzes a special audit method for high security cross-region video conferencing services. This method includes pre-meeting, mid-meeting and post-meeting behavior audit, and designs a variety of data models to support comprehensive audit analysis. Secondly, it puts forward two key audit items of abnormal meeting and illegal meeting, which provides a comprehensive and practical business behavior audit method for high-security organization video conference services. © 2023 IEEE.

关键词： Video conferencing

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2023 3rd international conference on Electrical Engineering and Mechatronics technology, ICEEMT 2023

2023 3rd International Conference on Electrical Engineering ...

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3rd international conference on Electrical Engineering and Mechatronics technology, ICEEMT 2023

ISBN: (纸本)9798350303698

The proceedings contain 172 papers. The topics discussed include: a novel distributed generation injection signal line fault detection technology;capacity estimation of lithium-ion batteries based on transformer model;park oriented energy event linkage management strategy;research on optimal scheduling of multi-source power system with complementary hydro and photovoltaic generation;integrated monitoring technology for tension and inclination of overhead transmission lines based on fiber Bragg grating;research on obstacle avoidance of a 7-DOF manipulator;insulator defect detection based on deep learning;stator modal analysis of permanent magnet motors for electric vehicles;study on fast stability of new power system based on the method of gradient dynamic deviation and PMU data;research on ADRC based on speed loop control of permanent magnet synchronous motor;and optimization design of flat wire permanent magnet synchronous motor for electric vehicles.

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Wild Animals Intrusion detection for Safe Commuting in Forest Corridors using AI Techniques 3

Wild Animals Intrusion Detection for Safe Commuting in Fores...

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3rd international conference on Innovative Practices in technology and Management, ICIPTM 2023

作者： Daniel Raj, J. Joshua Sangeetha, C.N. Ghorai, Sarthak Das, Subhajit Manish Ahmed, Shariq New Horizon College of Engineering Electrical and Electronics Engineering Bangalore India

ISBN: (纸本)9798350336238

There are many animal attacks on human is being reported in the recent days particularly in the forest area which claims innocent lives. In order to reduce such incidents this work is aimed to identify animals and alert vehicles to slowdown accident rates using IOT detection system. If the detection is triggered, the alert system will give signals to driver. Hence, the system will save the animal and reduce number of accidents in the jungle side highways. In this work Raspberry Pi 3 Model B is used for detecting the animals and alerting the vehicles. The camera is configured for use in Raspberry Pi to take shoot images and movement of animals. It also employs IOT based image detection system using display or sound alert system. We try to slowdown the vehicle to avoid accidents. We have used YOLO algorithm which helps us to process the system which takes 45 frames per sec. This proposed system process the image to predict the object at once. © 2023 IEEE.

关键词： Animals

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Intrusion detection Method for Industrial Control system Based on Parallel CNN-LSTM Neural Network Improved by Self-Attention 3

Intrusion Detection Method for Industrial Control System Bas...

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3rd international conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Zhang, Zhefan Zhao, Zhiheng Deng, Jinyong Chen, Yongzhe Harbin Institute of Technology School of Electrical Engineering & Automation Harbin150001 China

ISBN: (纸本)9798350316674

As an important part of the information age, network security has been concerned. Industrial control system is an indispensable part of modern production process, but it is also facing the threat from cyber-attacks. Intrusion detection system is an indispensable part of the industrial control system security defense system. It detects the attack data by monitoring the real-time status of network traffic. This paper offers an intrusion detection approach based on parallel CNN-LSTM with self-attention mechanism in accordance with the features of industrial control system network traffic, using the UNSW-NB15 dataset as the research object. After experimental analysis, the accuracy, recall and F1 value are 98.66%, 95.88% and 95.91% and The FPR and FAR are 2.28% and 2.23%. Compared with other intrusion detection models, the proposed method has better performance. © 2023 IEEE.

关键词： CNN-LSTM industrial control system intrusion detection system Self-Attention

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Research on Computer Artificial intelligence Interactive Labor Education and Training system 3

Research on Computer Artificial Intelligence Interactive Lab...

引用

2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Yin, Xingmei Shi, Xing Zhenjiang Vocational Technical College Zhenjiang China Jiangsu Aviation Technical College Zhenjiang China

ISBN: (纸本)9798350341546

In this paper, virtual reality technology is embedded into the virtual skill assessment model, and a comprehensive training system framework is built. OpenCV's and Multigene are selected as the development platforms of the virtual training system. A set of immersive virtual cooperative training system is developed through structural framework design, functional module design, database design and multi-person collaborative design. This paper proposes a vocational skill personalized learning based on tabu parallel genetic algorithm. The whole system implementation process from scene modeling to scene driven is discussed in detail. The application of the system can further improve the maintenance ability of the enterprise to the equipment, basic fault troubleshooting ability and overhaul ability, and reduce the loss caused by the wrong use and improper operation of the equipment. © 2023 IEEE.

关键词： artificial intelligence Computer interactive multiple model labor education and training system personalized learning tabu-parallel genetic algorithm vocational skills

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HOG Based Surveillance system for Chain Snatching detection 3

HOG Based Surveillance System for Chain Snatching Detection

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3rd international conference on Advanced Computing Technologies and Applications, ICACTA 2023

作者： Shilaskar, Swati Khadse, Mohish Shaikh, Shajjad Bhatlawande, Shripad Kulkarni, Sakshi Sayam, Sejal Vit Dept of e and Tc Pune India

ISBN: (纸本)9798350348347

In certain countries, the usage of closed-circuit television (CCTV) cameras for public safety and crime prevention has increased recently. Traditional CCTV systems, on the other hand, have a reputation for being ineffective at spotting suspicious activity. By utilizing artificial intelligence and machine learning techniques to identify odd behavior, the Abnormal Activity detection work seeks to get over this constraint. A sophisticated methodology is used in the study to identify suspicious activity in CCTV footage. The proposed system employs two methods for abnormal activity detection in chain snatching incidents. These methods utilize the HOG and SIFT features and are implemented using various classifiers, including random forest, XGBoost, logistic regression, decision tree, and SVM. The system is designed to analyze video frames and detect chain snatching incidents in real-time. The proposed system is novel in its ability to be trained on various types of video footage with different categories, making it a versatile tool for crime prevention and public safety. Ultimately, the Abnormal Activity detection system offers a comprehensive approach to CCTV surveillance that enhances public safety and aids in crime prevention. © 2023 IEEE.

关键词： Decision trees

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