IEEE Technology and Society Magazine最新文献_第8页

Analysis of Fisherman Exploitation in Taiwan Distant Water Fishing 台湾远洋渔业渔民开发分析

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3306539

Periyasami Karthikeyan;Ayush Pratap;William C.-H. Chu;Pao-Ann Hsiung

{"title":"Analysis of Fisherman Exploitation in Taiwan Distant Water Fishing","authors":"Periyasami Karthikeyan;Ayush Pratap;William C.-H. Chu;Pao-Ann Hsiung","doi":"10.1109/MTS.2023.3306539","DOIUrl":"https://doi.org/10.1109/MTS.2023.3306539","url":null,"abstract":"The analysis of fisherman exploitation in Taiwan’s distant water fishing (DWF) industry is a critical undertaking to address and combat labor abuses within this sector. DWF involves fishing activities conducted in waters beyond Taiwan’s territorial limits, and it is crucial to ensure fair and ethical treatment of the fishermen involved. The analysis of fisherman exploitation entails a comprehensive examination of various factors contributing to labor abuses. This includes investigating working conditions, working hours, payment practices, living conditions aboard fishing vessels, and overall treatment of the fishermen. Evaluating whether these practices comply with local and international labor standards, human rights principles, and relevant regulations is essential. Human action recognition (HAR) involves the use of computer vision algorithms to automatically identify and classify actions being performed by humans in videos or images. HAR technology can analyze footage from DWF vessels and identify actions indicating labor exploitation or abuse. It is essential to address the issue of exploitation and abuse in Taiwan’s DWF industry \u0000<xref>[1]</xref>\u0000, \u0000<xref>[2]</xref>\u0000. Lewis et al. \u0000<xref>[16]</xref>\u0000 explored using “AI” and face recognition as both a speech act and a technological tool for monitoring workers or intimidating migrants and protesters. While this concept has been implemented in various systems, our primary focus is developing a system to detect and address long work-hour exploitation.","PeriodicalId":55016,"journal":{"name":"IEEE Technology and Society Magazine","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50415681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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SSIT Matching Funds Opportunity! SSIT匹配资金机会！

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3308833

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IEEE Women in Engineering IEEE女性工程

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3308839

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The BBC: A Century on Air—David Hendy (New York, NY, USA: Public Affairs, Hachette Book Group, 2022, 638 pp.) 英国广播公司：广播世纪——大卫·亨迪（美国纽约：公共事务，哈切特图书集团，2022，638页）

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3299327

A. David Wunsch

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IEEE Foundation IEEE基金会

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3313389

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Implications of Emotion Recognition Technologies: Balancing Privacy and Public Safety 情感识别技术的启示：隐私与公共安全的平衡

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3306530

Luis Felipe Ortiz-Clavijo;Carlos Julián Gallego-Duque;Juan Camilo David-Diaz;Andrés Felipe Ortiz-Zamora

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Age of Auto Electric: Environment, Energy, and the Quest for the Sustainable Car—Matthew N. Eisler (Cambridge, MA, USA: MIT Press, 2022, 365 pp.) 汽车电气时代：环境、能源和对可持续汽车的追求——Matthew N.Eisler（美国马萨诸塞州剑桥：麻省理工学院出版社，2022，365页）

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3299317

David N. Lucsko

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Society’s Dilemma in Our Day in Age: Technology and Academics Versus Social Development 当今社会的困境：技术与学术与社会发展

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3301586

Luis Kun

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Power Lined: Electricity: Landscape and the American Mind—Daniel L. Wuebben (Lincoln, NE, USA: Univ. Nebraska Press, 2019, 236 pp.) 《权力线：电力：风景与美国人的心灵》——Daniel L.Wuebben（美国东北林肯：内布拉斯加大学出版社，2019，236页）

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3299369

A. David Wunsch

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A Review of Techniques and Policies on Cybersecurity Using Artificial Intelligence and Reinforcement Learning Algorithms 基于人工智能和强化学习算法的网络安全技术和策略综述

IF 2.2 4区工程技术

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI: 10.1109/MTS.2023.3306540

Neshat Elhami Fard;Rastko R. Selmic;Khashayar Khorasani

{"title":"A Review of Techniques and Policies on Cybersecurity Using Artificial Intelligence and Reinforcement Learning Algorithms","authors":"Neshat Elhami Fard;Rastko R. Selmic;Khashayar Khorasani","doi":"10.1109/MTS.2023.3306540","DOIUrl":"https://doi.org/10.1109/MTS.2023.3306540","url":null,"abstract":"Cybersecurity is a critical process that safeguards networks, systems, and applications against cyber-attacks, wherein digital information is targeted for unauthorized access, manipulation, or destruction. As attackers continually evolve their tactics, addressing cybersecurity challenges has become paramount, especially in sensitive domains like the military and defense industries. This article delves into the challenges that artificial intelligence (AI) faces in the military domain, specifically focusing on defense applications. We review AI algorithms relevant to defense, examining their potential applications and benefits: much of this study revolves around cybersecurity in defense applications, particularly within cyber-physical systems (CPS). We explore reinforcement learning (RL) and deep RL (DRL) algorithms in CPS, aiming to enhance understanding of the cybersecurity implications in this domain. In this context, we present RL and DRL algorithms employed in cyber-attacks and their potential threats and vulnerabilities. Furthermore, we discuss how RL and DRL algorithms can be effectively leveraged for cyber-attack detection and defense applications, providing usable insights into bolstering CPS cybersecurity. By addressing both technical aspects and ethical considerations, this article offers a comprehensive view of the challenges and opportunities surrounding cybersecurity in defense applications.","PeriodicalId":55016,"journal":{"name":"IEEE Technology and Society Magazine","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50415811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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