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Target detection Based on Taylor Expansion and Bilateral Symmetric Network 3

Target Detection Based on Taylor Expansion and Bilateral Sym...

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3rd IEEE international conference on Computer Communication and Artificial intelligence, CCAI 2023

作者： Li, Zhihui Jia, Xiaoshuo Li, Shuhua Liu, Suping Guangdong University of Science and Technology College of Computer Science Guangdong Dongguan China

ISBN: (纸本)9798350335262

In the task of target detection, traditional detection algorithms are prone to weak generalization and low detection accuracy due to the small number of parameters and fixed parameter values. Conversely, CNN-based detection algorithms are more accurate, but cannot be developed on mobile due to model issues. In this paper, we refer to the gradient features of HOG and propose the Taly preprocessing method which can preprocess images using Taylor extensions and extract multi-order gradient features of the images. Then TaylorNet is designed under the bilateral symmetric network. Multi - gradient features contain rich edge feature information of images. Then, the gradient feature is fused through the bilateral symmetrical network structure to achieve the fusion of low resolution and high resolution, so as to realize the accurate positioning and detection of edge features, and finally achieve the accurate detection of the target. Through the training and testing of the dataset SBD and VOC2012, the comparison results show that compared with some SOTA algorithms, TaylorNet effectively reduces the size of the model while ensuring high accuracy, so it can also effectively implement mobile development. © 2023 IEEE.

关键词： Statistical tests

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Analysis of Probability of detection in Relay Assisted WBAN 3rd

Analysis of Probability of Detection in Relay Assisted WBAN

引用

3rd international conference on Communication, Networks and Computing, CNC 2022

作者： Rafiqi, Hafsa Gupta, Sindhu Hak Jadon, Jitendra Singh Department of Electronics and Communication Engineering Amity School of Engineering and Technology Amity University Sector-125 Noida201303 India Department of Artificial Intelligence Amity School of Engineering and Technology Amity University Sector-125 Noida201303 India

ISBN: (纸本)9783031431395

This paper examines the working of a Cognitive Radio based Wireless Body Area Network (WBAN) based on Probability of detection (PD) as a performance metric. The variation in values of Probability of detection (PD) with variable factors such as Dynamic Threshold, Noise uncertainty & sampling time (NS) for zero relay & multi relay system respectively has been conducted using MATLAB. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cognitive radio

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Parallel intelligence-enabled IoV Information Management system based on Blockchain 3

Parallel Intelligence-enabled IoV Information Management Sys...

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3rd IEEE international conference on Digital Twins and Parallel intelligence, DTPI 2023

作者： Han, Shuangshuang Bai, Yongqiang Chen, Yueyun Tellambura, Chintha University of Science and Technology Beijing School of Computer & Communication Engineering Beijing China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada

ISBN: (纸本)9798350318470

The current Internet of Vehicles (IoV) data are facing challenges such as data silos, security and privacy concerns, data quality issues, and collaboration barriers. This paper proposes an IoV Information Management system (IIMS) based on parallel intelligence and blockchain to address these challenges. By leveraging the decentralized, immutable, and traceable nature of blockchain, combined with the incentive mechanisms and collaborative models of decentralized autonomous organizations (DAOs), a secure and trustworthy data sharing platform is established for collaborative analysis, business cooperation, and innovative applications of IoV data. The proposed approach utilizes the decentralized nature and data backup capabilities of blockchain to mitigate the single point of failure issues associated with centralized servers. Additionally, the anonymity, immutability, and traceability features of blockchain ensure the privacy, security, and integrity of data sharing. Moreover, the incentive mechanisms and DAO solutions within the blockchain promote data sharing among vehicles while ensuring data quality. © 2023 IEEE.

关键词： Blockchain

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Quantitative Performance Evaluation of Improved U-Net Model in Crack detection 3

Quantitative Performance Evaluation of Improved U-Net Model ...

引用

3rd IEEE international conference on Social Sciences and intelligence Management, SSIM 2023

作者： Pan, Pei-Yu Wang, Hwang-Cheng Lin, Zhi-Rui National Ilan University Department of Electronic Engineering Ylan Taiwan

ISBN: (纸本)9798350327786

We enhanced crack detection by combining channel and spatial attention mechanisms to overcome the limitations of the U-Net model. Detecting cracks is pivotal for ensuring infrastructure and household safety. However, challenges persist in preserving image details and extracting meaningful features especially due to the scarcity of high-resolution data. We investigated the impact of channel and spatial attention on crack detection using a publicly available dataset for evaluation. The proposed method augmented the U-Net model with attention mechanisms by integrating channel and spatial attention to discern inter-channel correlations and capture intricate details. The quantitative analysis results demonstrated significant improvements over the baseline U-Net model. The refined model enhanced accuracy, recall, and F1 score, showing the effectiveness of the combined attention mechanisms. Specifically, channel attention is to understand inter-channel correlations, while spatial attention is used to capture fine spatial details. The two allow for a synergistic enhancement in crack detection. The result of this research advances crack detection methodologies based on channel and spatial attention mechanisms. These mechanisms signify safer infrastructure and improved household safety. © 2023 IEEE.

关键词： Crack detection

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Research on optical amplification technology in steel ball surface defect detection based on EDFA 3

Research on optical amplification technology in steel ball s...

引用

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

作者： Gao, Dongdong Li, Guoping University of Jinan Jinan China

ISBN: (纸本)9798350341546

When using fiber optic sensing technology to detect surface defects on steel balls, the conventional method of combining photodetectors with hardware amplification circuits to process detection optical signals requires a heavy workload, and its circuit system is cumbersome and complex. Doped fiber amplifiers have significant advantages for optical amplification. This article utilizes the Erbium-doped Fiber Amplifier (EDFA) to amplify the intensity of the 1550nm detection optical signal in steel ball surface defect detection. The influence of the pumping modes and its own structural parameters on the system gain and noise of EDFA is studied. It is found that there are significant differences in the gain and noise of EDFA under different pumping modes. The structural parameters such as erbium-doped fiber length and pump power have a great impact on the system gain. The simulation of amplifying the low power optical signal of EDFA system is conducted, The designed system achieves an average gain of 36.51dB for input optical signals with powers ranging from -45 to -30dBm, resulting in high gain and low noise. Through further experimental verification, the results indicate that the designed EDFA system has significant optical amplification effect and high gain. Applying EDFA to the steel ball surface defect detection system has optimized the displacement detection performance of the detection system. © 2023 IEEE.

关键词： doped fiber amplifier EDFA optical amplification steel ball surface defect detection

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Research on Automatic Driving Vehicle Auxiliary system Based on Computer intelligent Network 3

Research on Automatic Driving Vehicle Auxiliary System Based...

引用

3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Zhou, Shaoxuan Sichuan Technology & Business College Intelligent Manufacturing and Information Engineering College Chengdu China

ISBN: (纸本)9781665472784

Autonomous vehicles will still be in the stage of man-machine co-driving for a long time, which needs man-machine cooperative control. Based on the development of intelligent connected vehicles, this paper designs the human-computer interaction verification framework of autonomous vehicle assistance system. The development of the system uses Python language. Then the system uses PyCharm as the development environment and YOLO framework to realize object detection. In this paper, vehicle radar is integrated to realize an intelligent networked vehicle autonomous driving health system based on machine vision. The simulation results show that the system CAN realize the fusion analysis and intelligent processing of vehicle operation data, road environment data and external data at various scales of "vehicle-road-network". At the same time, this system completes the construction of the "vehicle-road-network"multi-scale real-time monitoring, intelligent decision-making, collaborative control of networked vehicle intelligent control platform. © 2023 IEEE.

关键词： Object detection

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Vision-Based Identification of Vacant Seats in Public Transport for the Visually Impaired 3

Vision-Based Identification of Vacant Seats in Public Transp...

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3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Pargaonkar, Jay Kulkarni, Parth Paranjpay, Soumil Shilaskar, Swati Vishwakarma Institute of Technology Dept. of Electronics & Telecommunication Pune India

ISBN: (纸本)9798350317022

The accessibility of public spaces for visually impaired individuals is a major concern. One of the challenges faced by blind people in public spaces is the difficulty in locating vacant seats. The presented paper discusses the design, development and evaluation of a computer vision based vacant seat detection system. The system has been developed using various image processing techniques such as BRIEF, Extreme Gradient Boosting, Random Forest. The system identifies features in horizontal lines of the seat to differentiate occupied seats from unoccupied seats. It utilizes various image processing and machine-learning algorithms to improve accuracy and performance. The system has been trained and tested on more than 500 images, which results in quite an impressive accuracy of 81%. The paper highlights the importance of such a system in improving the accessibility and convenience of public spaces for visually impaired individuals. © 2023 IEEE.

关键词： Computer Vision Edge detection Image-Processing Vacant Seat detection

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Area Reduction AES Algorithm in Hardware Trojan detection 3

Area Reduction AES Algorithm in Hardware Trojan Detection

引用

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

作者： MacTino, S. Priya, S. Sridevi Sathya Naveenkumar, R. Napoleon, A. Karunya Institute of Technology and Sciences Department of Electronics and Communication Engineering Coimbatore India Karpagam Academy of Higher Education Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9781665462167

Hardware Trojan (HT) has lately become a significant problem for computer systems, especially those utilised for mission critical functions like medical or military ones. Effects that have been proposed include everything from the gadget completely malfunctioning to secret information leaking. The Trojans that have been suggested so far have a variety of effects on a device's dependability. There are many types of algorithms but this study considers AES algorithm as AES operates by utilizing a chain of linked operations that replace and shuffle the input data, which is known as the substitution permutation network concept. The sorts of hardware trojan areas in the AES algorithm are reviewed in this study, along with potential strategies to prevent them. The recommended effort results in a 2.6% decrease in the average area. © 2023 IEEE.

关键词： Hardware security

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Hidden structural detection practice of coal mine re-mining working face 3

Hidden structural detection practice of coal mine re-mining ...

引用

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

作者： Zhi, BaoYan Guo, Gang Li, Rui Song, BingQing Liu, Song China National Coal Shaanxi Yulin Energy & Chemical Co. Ltd China Company Limited China Coal Technology & Engineering China

ISBN: (纸本)9781665490788

Hidden structure in coal mine working face is an important hidden danger affecting safety production, and it is also a difficult technical problem to identify, Mine borehole logging analyzer is a comprehensive borehole logging device for underground drilling, which can quickly complete the work of video, natural gamma ray, trajectory data acquisition in underground coal mine at one time, Ground processing software can process data efficiently, and automatically derive the results of borehole trajectory plane map, borehole trajectory profile map and video core map, etc. By using underground drilling and mine borehole logging technology, the occurrence of coal seams and faults in No. 42224 mining face of Chaijiagou Coal Mine determined by trench wave seismic exploration was analyzed, the concealed structure of the working face was basically identified, and the high efficiency and practicability of the technology in detecting concealed structure were verified, which provides a strong technical support for mine safety production. © 2023 IEEE.

关键词： Coal mines

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Video Chat using WebRTC with In-built Sign Language detection 3

Video Chat using WebRTC with In-built Sign Language Detectio...

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3rd international conference on Ubiquitous Computing and Intelligent Information systems, ICUIS 2023

作者： Sailesh Kumar, K.L. Srivatsan, M. Sendhan, A. Saran, J.U. Vidhya Sagar, P.V. Vellore Institute of Technology Department of Computer Science and Engineering Vellore India Rajalakshmi Engineering College Department of Computer Science and Engineering Chennai India Rajalakshmi Engineering College Department of Artificial Intelligence and Machine Learning Chennai India

ISBN: (纸本)9798350306989

Many research efforts into video conferencing technology have focused on audio-only interactions. Text chat, on the other hand, has many uses and is often used in conjunction with the audio channel in multimedia conferencing systems because of the many benefits it offers to users in a variety of contexts. Video chat on the other hand has been providing participants to participate not only through voice but also through visual clues, creating a richer and more immersive communication experience. With the development of technology, video chat has transformed how people cooperate and communicate across distances by becoming more accessible and user-friendly. This study details a prototype program that uses video chat with in-built sign language identification to help the hearing-impaired and the speech-impaired. The prototype is constructed from WebRTC to provide realtime communication for the application, on top of which the object detection model from Tensor Flow is integrated to provide hand sign detection and recognition for the user. We focus our testing on the bandwidth and sign language detection needs of customers in order to provide improved support for video chat. We then talk about how this evaluation's findings can inform the evolution of video chatting software. © 2023 IEEE.

关键词： Object detection

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