ICT Express最新文献_第9页

DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks 基于dnn的异构下行noma网络SIC联合排序与功率分配算法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.06.004

Donghyeon Kim , Jung-Bin Kim , Haejoon Jung , In-Ho Lee

{"title":"DNN-based algorithm for joint SIC ordering and power allocation in downlink NOMA-enabled heterogeneous networks","authors":"Donghyeon Kim , Jung-Bin Kim , Haejoon Jung , In-Ho Lee","doi":"10.1016/j.icte.2024.06.004","DOIUrl":"10.1016/j.icte.2024.06.004","url":null,"abstract":"<div><div>In the heterogeneous network (HetNet) employing downlink non-orthogonal multiple access (NOMA), we focus on the non-convex optimization problem to optimize the spectral efficiency (SE) while the users satisfy the quality-of-service (QoS) requirement. In the previous work, the optimal joint successive interference cancellation and power allocation (JSPA) algorithm for maximizing SE is proposed to solve the mixed-integer non-linear programming (MINLP) problem in NOMA-enabled HetNet. However, the optimal solution requires exponential complexity by the number of base stations (BSs). Therefore, we present a deep neural network (DNN)-based algorithm for JSPA to reduce the complexity. In particular, to deal with the MINLP-based JSPA problem, we reformulate it into an equivalently simple problem that optimizes only the power consumption of BSs. Then, we introduce the unsupervised DNN-based method for JSPA to handle the simplified problem. The presented scheme yields improved SE and outage performance compared with traditional DNN-based methods. Additionally, we propose a user selection scheme with low complexity to enhance the SE of the proposed DNN-based power allocation. Through simulations, we illustrate that the suggested DNN-based scheme can attain SE performance similar to that of the optimal scheme.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1301-1307"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on monitoring and management techniques for road traffic congestion in vehicular networks 车辆网络中道路交通拥堵监测与管理技术综述

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.10.007

Amenah S.M. Thabit , Chaker Abdelaziz Kerrache , Carlos T. Calafate

引用次数: 0

DCOOL: Dynamic computation offloading and resource allocation for LEO satellite-assisted edge computing in a ground-space integrated framework 地空一体化框架下LEO卫星辅助边缘计算的动态计算卸载与资源分配

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.014

Jeonghwan Kim, Jeongho Kwak

引用次数: 0

Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: A survey 可解释的人工智能（XAI）在医学、工业和其他领域的图像分割：调查

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.008

Rokas Gipiškis , Chun-Wei Tsai , Olga Kurasova

引用次数: 0

Prior-free 3D human pose estimation in a video using limb-vectors 先验自由的三维人体姿态估计在视频中使用肢体向量

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.015

Anam Memon , Qasim Arain , Nasrullah Pirzada , Akram Shaikh , Adel Sulaiman , Mana Saleh Al Reshan , Hani Alshahrani , Asadullah Shaikh

{"title":"Prior-free 3D human pose estimation in a video using limb-vectors","authors":"Anam Memon , Qasim Arain , Nasrullah Pirzada , Akram Shaikh , Adel Sulaiman , Mana Saleh Al Reshan , Hani Alshahrani , Asadullah Shaikh","doi":"10.1016/j.icte.2024.09.015","DOIUrl":"10.1016/j.icte.2024.09.015","url":null,"abstract":"<div><div>Estimating accurate 3D human poses from a monocular video is fundamental to various computer vision tasks. Existing methods exploit 2D-to-3D pose lifting, multiview images, and depth sensors to model spatio-temporal dependencies. However, depth ambiguities, occlusions, and larger temporal receptive fields pose challenges to these approaches. To address this, we propose a novel prior-free DCNN-based 3D human pose estimation method for monocular image sequences using limb vectors. Our method comprises two subnetworks: a limb direction estimator and a limb length estimator. The limb direction estimator utilizes a fully convolutional network to model limb direction vectors across a temporal window. We show that network complexity can be significantly reduced by utilizing dilated convolutional operations and a relatively smaller receptive field while maintaining estimation accuracy. Moreover, the limb length estimator captures stable limb length estimations from a reliable frame set. Our model has shown superior performance compared to existing methods on the Human3.6M and MPI-INF-3DHP datasets.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1266-1272"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review on label cleaning techniques for learning with noisy labels 噪声标签学习中的标签清洗技术综述

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.007

Jongmin Shin , Jonghyeon Won , Hyun-Suk Lee , Jang-Won Lee

引用次数: 0

Dynamic content-cached satellite selection and routing for power minimization in LEO satellite networks 低轨道卫星网络中功率最小化的动态内容缓存卫星选择和路由

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.004

Jeongmin Seo , Dongho Ham , Jeongho Kwak

{"title":"Dynamic content-cached satellite selection and routing for power minimization in LEO satellite networks","authors":"Jeongmin Seo , Dongho Ham , Jeongho Kwak","doi":"10.1016/j.icte.2024.09.004","DOIUrl":"10.1016/j.icte.2024.09.004","url":null,"abstract":"<div><div>Efficient delivery of content to areas where terrestrial Internet service is unavailable can be possible via content caching at low earth orbit (LEO) satellites. Cached content in several LEO satellites must be delivered via inter-satellite links (ISLs) with appropriate routing techniques. Until now, content caching and routing techniques have been optimized independently. To tackle this issue, the optimization of selecting a content-cached satellite and routing is jointly performed, using the example of Earth observation data cached across multiple satellites. In this paper, we first formulate a dynamic power minimization problem constrained by the queue stability of all LEO satellites, where the control variables are the selection of content-cached satellite and routing in every satellite. To solve this long-term time-averaged problem, we leverage Lyapunov optimization framework to transform the original problem into a series of slot-by-slot problems. Moreover, we prove that the average power consumption and the average queue backlog by the proposed algorithm can be upper-bounded via theoretical analysis. Finally, through extensive simulations, we demonstrate that our proposed algorithm surpasses existing independent content-retrieval algorithms in terms of power consumption, queue backlog, and fairness.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1199-1205"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of permissioned blockchain performance for resource scaling configurations 预测资源伸缩配置的区块链性能

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.003

Seungwoo Jung , Yeonho Yoo , Gyeongsik Yang, Chuck Yoo

引用次数: 0

Attention Retinex Network(A4R-Net) for face detection under low-light environment 注意视网膜网络（A4R-Net）在弱光环境下的人脸检测

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.009

Minsu Kim , Yunho Jung , Seongjoo Lee

{"title":"Attention Retinex Network(A4R-Net) for face detection under low-light environment","authors":"Minsu Kim , Yunho Jung , Seongjoo Lee","doi":"10.1016/j.icte.2024.09.009","DOIUrl":"10.1016/j.icte.2024.09.009","url":null,"abstract":"<div><div>The degradation of recognition rates in low-light environments is a critical issue in terms of security when using object and face recognition technologies in various locations. Existing low-light enhancement models have shown limitations in terms of computational cost and performance. However, this paper overcomes these limitations. The experimental results demonstrate that our model achieves the same performance as existing models with 13 times lower computational cost and a face detection performance of 82.2%.</div><div>The structure of this paper is as follows: Introduction, which provides the background and explains the limitations of existing models. Proposed Method, which details the structure and working principles of A4R-Net. Experimental Results, which present the evaluation of low-light enhancement performance and the comparison of face detection using YOLOv4 <span><span>[1]</span></span>. Conclusion, which discusses the contributions of this research and future research directions.</div><div>The source code and dataset is <span><span>https://github.com/Obiru2698/obiru2698.github.io/</span><svg><path></path></svg></span></div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1206-1211"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-PKD: Semi-supervised Pseudoknowledge Distillation for saliency prediction Semi-PKD：用于显著性预测的半监督伪知识蒸馏

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-11-28 DOI: 10.1016/j.icte.2024.11.004

Chakkrit Termritthikun , Ayaz Umer , Suwichaya Suwanwimolkul , Ivan Lee

引用次数: 0