2022 International Conference on Advanced Technologies for Communications (ATC)最新文献_第7页

On the Trade-off Between Privacy Protection and Data Utility for Chest X-ray Images 胸部x线图像隐私保护与数据实用的权衡

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942970

Truong Giang Vu, Nursultan Makhanov, Nguyen Anh Tu, Kok-Seng Wong

{"title":"On the Trade-off Between Privacy Protection and Data Utility for Chest X-ray Images","authors":"Truong Giang Vu, Nursultan Makhanov, Nguyen Anh Tu, Kok-Seng Wong","doi":"10.1109/ATC55345.2022.9942970","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942970","url":null,"abstract":"The rising advancement in deep learning (DL) techniques has enabled machine learning (ML) models to assist practitioners in performing medical tasks with high accuracy. However, it also poses privacy concerns regarding how such models will proceed with medical data containing protected patient health information. Therefore, some efforts have been made to anonymize medical data to preserve data privacy while keeping the model performance high enough to avoid wrong decisions in the medical field. Nevertheless, the adversary can develop an ML model to re-identify a patient's identity by matching an arbitrary chest X-ray image with a public or leaked image dataset with high accuracy. This paper aims to find a trade-off between our privacy protection method and data utility for medical images. Specifically, we propose a solution to anonymize chest X-ray images by directly adding noise to the images to prevent verification attacks and evaluate how well those images can maintain good performance in the lung disease classification task. Simulation results on real-world datasets show that the proposed solution achieved a good trade-off between privacy protection and data utility.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114640545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel implementation of sleeping posture classification using RANC ecosystem 一种基于RANC生态系统的睡眠姿势分类方法

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942964

Huy Hoang Nguyen, Ba Luan Dang, Hoang Phuong Dam, Quang Hieu Dang, Duc Minh Nguyen, Viet Anh Vo

引用次数: 0

A Compact and Low-cost RF Balun with Improved Bandwidth and Isolation 一种具有改进带宽和隔离性的紧凑低成本射频平衡器

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942985

Nguyen Thi Uyen, Nguyen Thi Anh, L. D. Manh

引用次数: 0

Outage Performance of UAV aided V2V-NOMA Communication Systems over Double Rayleigh Channels 双瑞利信道下无人机辅助V2V-NOMA通信系统的中断性能

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942979

Nguyen Le Cuong, Cong Hung Dinh, Pham Thanh Hiep

{"title":"Outage Performance of UAV aided V2V-NOMA Communication Systems over Double Rayleigh Channels","authors":"Nguyen Le Cuong, Cong Hung Dinh, Pham Thanh Hiep","doi":"10.1109/ATC55345.2022.9942979","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942979","url":null,"abstract":"This paper considers a wireless system where an unmanned aerial vehicle (UAV) is utilized to support vehicle-to-vehicle (V2V) communications while the vehicles is moving on the road. Non-orthogonal multiple access (NOMA) technology is also exploited to increase the number of vehicles in the considered system. Due to the movements of the vehicles and UAV, the channels between them are characterized by double Rayleigh channels. Unlike previous works on the UAV aided V2V and/or NOMA systems, we applied the channels proposed for 5G standard in our analysis. Consequently, the channel parameters are more practical. We mathematically obtain expressions of outage probabilities (OPs) at two destination vehicles of the considered UAV-aided-V2V-NOMA system over double Rayleigh channels. Based on these expressions, the effects of the NOMA coefficients and the high carrier frequency in the WiFi bands are evaluated in detail. Moreover, both line of sight (LOS) and non-line of sight (NLOS) cases are investigated. Besides the specific carrier frequency, the distances, bandwidth, antenna gain, noise figure, and thermal noise power are set from practical scenarios. Consequently, our results are more realistic than the previous works.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Histogram of Oriented Gradients and Support Vector Machine on Detection of Far-side Corrosion 方向梯度直方图和支持向量机在远端腐蚀检测中的应用

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943002

Minhhuy Le, V. Luong, Dang Khoa Nguyen, Thế Tuấn Trịnh, Phuong Thuy Vu, Thi Huong Nguyen, Hong Ha Thi Vu, Jinyi Lee

引用次数: 0

Action Recognition of Traffic Police by Attentive for Self-Driving Vehicles 交通警察对自动驾驶车辆的动作识别

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942963

Manh-Hung Ha, Minh-Huy Le, Khoa Nguyen Dang, Dinh-Thai Kim, V. Tran

{"title":"Action Recognition of Traffic Police by Attentive for Self-Driving Vehicles","authors":"Manh-Hung Ha, Minh-Huy Le, Khoa Nguyen Dang, Dinh-Thai Kim, V. Tran","doi":"10.1109/ATC55345.2022.9942963","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942963","url":null,"abstract":"This work develops a Deep Neural Network (DNN) with the spatiotemporal skeleton-based attentions to effectively perceive traffic officers for self-driving vehicles. The DNN framework includes two Convolutional Neural Networks (CNNs), Attention-Jointed Appearance (AJA) and Attention-Based Motion (ABM) layers, Recurrent Neural Networks (A_RNN), and Feed-Forward Networks (FFNs) where RGB and optical-flow streams are inputs accompanied with pose joint maps of two-dimensional subject skeletons. The AJA, and ABM layers pay attention to poses, and motions of subjects, respectively. The A_RNNs generate the attention weights over time steps to highlight rich temporal context. In FFN s, one takes the outputs of A_RNNs to determine the action type, and the other processes the outputs of the AJA layer together with the majority voting to enhance subject identification. Based on transfer learning, the initial parameters of two CNN s are from the converged network of Google Inception V3 trained by ImageN et and Kinetics. The experimental results reveal that the proposed DNN achieves the average accuracies around 100.0%, and 97.6% for subject, and action recognitions, respectively, at the traffic police dataset. Comparing to the conventional work, our DNN with superior performance can be a great context-aware system for self-driving vehicles.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116793106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of Lightweight Cryptography Core PRESENT and DM-PRESENT on FPGA 轻量级加密核心PRESENT和DM-PRESENT在FPGA上的实现

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942995

To-Nguyen Lam, Tran-Bao-Thuong Cao, Duc Hung Le

引用次数: 2

Optimal Power Allocation for Non-Orthogonal Multiple Access Visible Light Communications with Short Packet and Imperfect Channel Information 短分组和信道信息不完全的非正交多址可见光通信的最优功率分配

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943006

Giang N. Tran, S. Q. Nguyen, Minh Tuan Nguyen, Sunghwan Kim

{"title":"Optimal Power Allocation for Non-Orthogonal Multiple Access Visible Light Communications with Short Packet and Imperfect Channel Information","authors":"Giang N. Tran, S. Q. Nguyen, Minh Tuan Nguyen, Sunghwan Kim","doi":"10.1109/ATC55345.2022.9943006","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943006","url":null,"abstract":"In this paper, we investigate the short packet communication (SPC) in non-orthogonal multiple access (NOMA) for a downlink visible light communication (VLC) system with the imperfect channel state information (CSI). Furthermore, transmission rates and power allocation coefficients are optimized to obtain the maximum system throughput while the far user can get a specific effective throughput. To this end, the block error rate (BLER) in SPC-NOMA VLC systems with imperfect CSI is derived in closed-form by utilizing Gaussian Chebyshev quadrature method. Then, the effective throughput expression is deduced. We further compare the SPC-NOMA VLC system versus the SPC-orthogonal multiple access (OMA) VLC system in terms of BLER and effective throughput. The analytical and simulation results demonstrate the superiority of the SPC-NOMA VLC system to the SPC-OMA VLC system. To address the optimal system throughput design, the iterative-method-based one-dimensional search method is proposed to derive the optimal transmission rates and optimal power allocation coefficients.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DC, AC and Breakdown Simulation of the Gallium Nitride High Electron Mobility Transistor with a Few-Layer Graphene Heat-Removal System 氮化镓高电子迁移率晶体管的直流，交流和击穿模拟与少层石墨烯热去除系统

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943047

Dao Dinh Ha, V. Volcheck, V. Stempitsky, Tran Tuan Trung

引用次数: 0

The benefits and challenges of applying Blockchain technology into Big Data: A literature review 将区块链技术应用于大数据的好处和挑战:文献综述

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943004

Thu Nguyen, K. Vo, Thu-Thuy Ta, Tu-Anh Nguven-Hoang, N. Dinh

{"title":"The benefits and challenges of applying Blockchain technology into Big Data: A literature review","authors":"Thu Nguyen, K. Vo, Thu-Thuy Ta, Tu-Anh Nguven-Hoang, N. Dinh","doi":"10.1109/ATC55345.2022.9943004","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943004","url":null,"abstract":"Blockchain and big data are two technologies with great potential and great influence in the field of information technology. Big data research applied in many fields of society. However, big data has features as large size, temporal events, complex structure, and incompleteness. Therefore, big data exists many challenges that need to be researched such as data security, data integrity, anti-fraud, data quality, data management, data analysis, and data mining. Blockchain technology has the characteristics of distribution, immutability, transparency, and security. Therefore, integrating blockchain technology into big data is a promising solution to overcome these challenges. However, blockchain technology is not really mature yet. Researchers need to identify the problem and have a suitable approach for applying blockchain technology to big data. In this article, we survey and present a complete picture of the integrated base. At the same time, cloud services for big data, application range, and blockchain big data projects also presented. From there, the researchers were able to clearly identify the development challenges and future directions for this exciting topic.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114115336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1