ICT Express最新文献

{"title":"Risk-averse Reinforcement Learning for Portfolio Optimization","authors":"","doi":"10.1016/j.icte.2024.04.010","DOIUrl":"10.1016/j.icte.2024.04.010","url":null,"abstract":"<div><p>This investigation explores Reinforcement Learning (RL) for dynamic portfolio optimization with risk assessment. The challenges include market complexity, uncertain reactions, and regulatory requirements for risk-averse decisions. Our solution leverages Bayesian Neural Network (BNN) to capture uncertainties. We successfully implemented a risk-averse Reinforcement Learning algorithm, achieving 18 percent lower risk. Reinforcement Learning with risk-aversion shows promise for optimizing portfolios for risk-averse investors.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 857-862"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240595952400047X/pdfft?md5=5385b709fbe59482bff19744529a49de&pid=1-s2.0-S240595952400047X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141044304","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}

{"title":"Intelligent detection of fastener defects and mixed assortments","authors":"","doi":"10.1016/j.icte.2024.05.006","DOIUrl":"10.1016/j.icte.2024.05.006","url":null,"abstract":"<div><p>This paper investigates the use of artificial intelligence (AI) image detection and discrimination technology to address issues related to mixed assortments and defects encountered in the fastener manufacturing and packaging processes. The defect detection system primarily utilizes the YOLOv4-tiny model with parameter setting and data augmentation techniques. The mixed assortments detection system is constructed using U-Net-Light and Siamese network. The research results demonstrate that the developed systems can indeed replace or assist on-site personnel in conducting efficient and accurate inspections and screenings.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 902-908"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000560/pdfft?md5=66d5faa99da3e889e27b73ca8b782c6d&pid=1-s2.0-S2405959524000560-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141134360","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}

{"title":"Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review","authors":"","doi":"10.1016/j.icte.2024.05.001","DOIUrl":"10.1016/j.icte.2024.05.001","url":null,"abstract":"<div><p>Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer significant potential to improve safety. However, the network faces critical challenges related to security, as well as inadequate spectrum sensing and management. To address these issues, researchers have utilized cognitive radio and machine learning technologies. Although, previous survey studies have provided a valuable foundation for understanding the use of cognitive radio in VANET, not all have systematically investigated its impact on mitigating spectrum sensing and management issues or the role of machine learning in supporting cognitive radio functionality. Furthermore, the effects of security issues on both VANET and cognitive radio enhanced VANET have not been consistently examined. This survey aims to systematically review the application of cognitive radio and machine learning approaches to address the identified challenges in smart transportation networks, offering valuable research opportunities for future investigations. The paper extensively explores state-of-the-art approaches and focuses on: (1) Assessing the impact of cognitive radio and machine learning on spectrum sensing and management in smart transportation networks and (2) Evaluating the impact of security issues on both VANET and cognitive radio enhanced VANET.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 693-734"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000511/pdfft?md5=6e638763bf500b9380e8f8127d910123&pid=1-s2.0-S2405959524000511-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141051975","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}

{"title":"MPTCP-based link congestion detection and traffic control scheme in software-defined networks","authors":"Yikun Li,&nbsp;Bong-Hwan Oh","doi":"10.1016/j.icte.2024.06.006","DOIUrl":"10.1016/j.icte.2024.06.006","url":null,"abstract":"<div><p>Multipath TCP (MPTCP) is one of the leading transport layer protocols that enables multipath transmission to improve network performance. However, MPTCP can experience throughput degradation due to link congestion, which causes underutilizing of the network capacity. We proposed a new link congestion detection based on Software-Defined Networking (SDN) for MPTCP that detects and detours link congestion to achieve a stable MPTCP performance. Measurement results show that the proposed scheme enables efficient packet transmission by minimizing the effect of link congestion. Moreover, a combination of the proposed scheme and SDN monitoring enables dynamic traffic control based on the proposed link congestion detection.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 735-746"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240595952400078X/pdfft?md5=2ee038713dda4c6474846e745f901d48&pid=1-s2.0-S240595952400078X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141714626","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}

{"title":"OAM waves with fewer redundant OAM modes generated by two circularly polarized antenna arrays","authors":"","doi":"10.1016/j.icte.2024.02.004","DOIUrl":"10.1016/j.icte.2024.02.004","url":null,"abstract":"<div><p>Two circularly polarized antenna arrays, which reduce two redundant OAM modes, are proposed in this paper. One antenna array is composed of 8 right-handed circularly polarized (RHCP) antennas and radiates OAM mode <span><math><mi>l</mi></math></span> in <span><math><mi>x</mi></math></span> component, OAM mode <span><math><mi>l</mi></math></span> in <span><math><mi>y</mi></math></span> component and OAM mode <span><math><mrow><mo>(</mo><mi>l</mi><mo>+</mo><mn>1</mn><mo>)</mo></mrow></math></span> in <span><math><mi>z</mi></math></span> component. The other antenna array has 8 left-handed circularly polarized (LHCP) antennas and transmits OAM mode <span><math><mi>l</mi></math></span> in <span><math><mi>x</mi></math></span> component, OAM mode <span><math><mi>l</mi></math></span> in <span><math><mi>y</mi></math></span> component and OAM mode <span><math><mrow><mo>(</mo><mi>l</mi><mo>−</mo><mn>1</mn><mo>)</mo></mrow></math></span> in <span><math><mi>z</mi></math></span> component. The RHCP and LHCP antenna arrays produce OAM waves with fewer redundant OAM modes compared to the traditional single-direction antenna array. The feed excitations of the two circularly polarized antenna arrays have the same feeding system, which includes power dividers and phase shifters. The reflection coefficient parameters, radiation patterns and phase distributions are measured to display the radiated characteristics of the two proposed methods. Both the simulation and the experimental results demonstrate the effectiveness of the proposed methods.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 804-809"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000092/pdfft?md5=1f9a79b2612e3f117e997cf7b2aa1076&pid=1-s2.0-S2405959524000092-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139818152","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}

{"title":"Navigating the future of wireless networks: A multidimensional survey on semantic communications","authors":"","doi":"10.1016/j.icte.2024.06.001","DOIUrl":"10.1016/j.icte.2024.06.001","url":null,"abstract":"<div><p>This paper offers an in-depth exploration of semantic communications, focusing on its integral role in wireless networks. We dissect its foundational architecture and the key elements that enable seamless AI integration. Our research categorizes semantic communications into various multimedia and task types, evaluating their applicability in both single and multitasking environments. We also investigate resource allocation and goal-oriented strategies, supported by empirical case studies. The paper concludes by spotlighting emerging trends, including AI, IoT, and 5G beyond. It identifies pressing challenges such as standardization, security, and efficiency. Our work provides a holistic understanding of contemporary semantic communications paradigms.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 747-773"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000663/pdfft?md5=d8180959e946c2a5050dbb213ce6b98b&pid=1-s2.0-S2405959524000663-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414210","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}

{"title":"Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey","authors":"","doi":"10.1016/j.icte.2024.05.008","DOIUrl":"10.1016/j.icte.2024.05.008","url":null,"abstract":"<div><p>Recent developments in the fields of communications, smart transportation systems and computer systems have significantly expanded the potential for intelligent solutions in the domains of traffic safety, convenience and efficiency. The utilization of Artificial Intelligence (AI) is presently prevalent across diverse sectors of application due to its significant capacity to augment conventional data-driven methodologies. In the domain of Vehicular Ad hoc NETworks (VANETs), data is regularly gathered from several sources. The collected data serves multiple goals, such as facilitating efficient routing, enhancing driver awareness, forecasting mobility patterns to prevent potential risks, and ultimately enhancing passenger comfort, safety and overall road experience. Internet of thing (IoT) can be a good solution fro many issues that of VANETs. In order to make a complete system of VANETs communications are very essential like 5G and 6G. This study provides a detailed examination of AI, IoT and 5G/6G methodologies currently being investigated by multiple research endeavors in the field of VANETs. The merits and demerits of the AI-based methodologies suggested for the VANET domain have been analyzed with the using of IoT and 5G/6G. In conclusion, forthcoming research prospects in the field of VANETs are ascertained.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 959-980"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000584/pdfft?md5=9498981f6a175f79dec6a8259f894c25&pid=1-s2.0-S2405959524000584-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141140184","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}

{"title":"Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects","authors":"","doi":"10.1016/j.icte.2024.05.007","DOIUrl":"10.1016/j.icte.2024.05.007","url":null,"abstract":"<div><p>Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical system, providing greater insights about their operations and assets, as well as enhancing their resilience through real-time monitoring and proactive maintenance. DTs also pose significant security risks, as intellectual property is encoded and more accessible, as well as their continued synchronization to their physical counterparts. The rapid proliferation and dynamism of cyber threats in today’s digital environments motivate the development of automated and intelligent cyber solutions. Today’s industrial transformation relies heavily on artificial intelligence (AI), including machine learning (ML) and data-driven technologies that allow machines to perform tasks such as self-monitoring, investigation, diagnosis, future prediction, and decision-making intelligently. However, to effectively employ AI-based models in the context of cybersecurity, human-understandable explanations, and their trustworthiness, are significant factors when making decisions in real-world scenarios. This article provides an extensive study of explainable AI (XAI) based cybersecurity modeling through a taxonomy of AI and XAI methods that can assist security analysts and professionals in comprehending system functions, identifying potential threats and anomalies, and ultimately addressing them in DT environments in an intelligent manner. We discuss how these methods can play a key role in solving contemporary cybersecurity issues in various real-world applications. We conclude this paper by identifying crucial challenges and avenues for further research, as well as directions on how professionals and researchers might approach and model future-generation cybersecurity in this emerging field.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 935-958"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000572/pdfft?md5=0ba1659d944758ac3a820436b838f534&pid=1-s2.0-S2405959524000572-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141144273","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}

{"title":"Caching, transcoding, delivery and learning for advanced video streaming services","authors":"Minseok Choi,&nbsp;Tiange Xiang,&nbsp;Hyelee Lim,&nbsp;Yunoh Kim,&nbsp;Minkyun Ahn,&nbsp;Sunghun Oh,&nbsp;Hyeonsu Kim","doi":"10.1016/j.icte.2024.05.012","DOIUrl":"10.1016/j.icte.2024.05.012","url":null,"abstract":"<div><p>Online video services are responsible for a large amount of global data traffic, which is why wireless video caching has become a major focus in order to deal with the increasing amount of data. While conventional caching methods have been successful in reducing file transmission latency and data traffic on the core network, there is still a lot of potential to improve wireless caching for streaming users’ satisfaction, especially as video streaming technology continues to improve. To improve caching, it is important to consider the distinct characteristics of a video file, video encoding, dynamic video streaming, and even 3D video services such as virtual reality (VR) and augmented reality (AR). This paper investigates the distinct video features that can be used to design video caching policies. Additionally, recent studies on wireless video caching and delivery are surveyed, with a focus on four key characteristics: (1) partitioning a video file, (2) encoding a video file into multiple quality versions, (3) recognizing that video file popularity is dynamic and heterogeneous, and (4) understanding that video recommendation affects a series of user requests.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 774-785"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000626/pdfft?md5=aa79da443d8dcc961380ae6917912748&pid=1-s2.0-S2405959524000626-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142020435","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}

{"title":"Distributed DQN-based network-wide energy efficiency maximization for 5G NR-U and Wi-Fi coexistence environments","authors":"Junseung Lee ,&nbsp;Seung-Chan Lim ,&nbsp;Hyungsub Kim ,&nbsp;JeeHyeon Na ,&nbsp;Howon Lee","doi":"10.1016/j.icte.2024.05.010","DOIUrl":"10.1016/j.icte.2024.05.010","url":null,"abstract":"<div><p>To effectively manage the escalating traffic, attention is drawn to the coexistence mechanism of cellular and Wi-Fi networks which offload the cellular traffic from the licensed band to the unlicensed band. For the coexistence of 5G new radio-unlicensed and Wi-Fi, we tackle the energy efficiency maximization problem by sequentially determining the duty cycle and transmit power through the use of distributed deep Q-network (DQN) techniques. When utilizing the existing unlicensed band, the proposed method minimizes the impact on Wi-Fi networks while achieving optimal energy efficiency. Simulations validate the superior energy efficiency of the proposed coexistence mechanism over various benchmark methods.</p></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 4","pages":"Pages 845-850"},"PeriodicalIF":4.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405959524000602/pdfft?md5=e3791833fc223e43684bde66963942f4&pid=1-s2.0-S2405959524000602-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021020","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}