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Pervasive and Mobile Computing

Pervasive and Mobile Computing

普及和移動計算

研究方向:工程技術
影響因子:2.769
官網:http://www.journals.elsevier.com/pervasive-and-mobile-computing/
投稿地址:https://www.evise.com/evise/faces/pages/navigation/NavController.jspx?JRNL_ACR=pmc
審稿速度:較慢,6-12周

  中文簡介

正如MarkWeiser早在1991年所設想的那樣,普適計算系統和服務已經真正成為我們日常生活中不可或缺的一部分。從個性化和嵌入式智能設備(如智能手機、傳感器、可穿戴設備、物聯網等)到無所不在的連接,通過各種無線移動通信和認知網絡基礎設施,到先進的計算技術(包括邊緣、霧和云)和我們,各種技術的巨大發展友好的中間件服務和平臺為普及和移動計算領域的空前進步做出了重大貢獻。尖端的應用和模式已經發展,例如網絡物理系統和智能環境(例如,智能城市、智能能源、智能交通、智能醫療等),也通過社會互動和參與性和/或移動人群感知,將人類納入循環。普適計算系統的目標是改善人類的經驗和生活質量,而不需要對底層通信和計算技術有明確的認識。《普適性和移動計算雜志》(PMC)是一本具有高度影響力的同行評審技術期刊,發表了涵蓋理論和實踐的高質量科學文章,涵蓋普適性和移動計算和系統的各個方面。主題包括但不限于:普適計算和通信體系結構和協議普及、移動和可穿戴的計算系統和服務網絡物理系統和網絡物理社會系統智能系統和應用(智能城市、智能制造、智能交通、智能電網、智能健康等)智能空間和智能環境智能計算認知計算社會計算物聯網與社會物聯網人的網絡邊緣、霧、移動云和機會主義計算普適計算系統中的人工智能和大數據分析城市傳感和移動擁擠傳感參與式和社會感知支持通信技術(例如無線局域網、蜂窩網絡、混合網絡、即席網絡和認知網絡)無線傳感器網絡和RFID技術機器對機器和設備對設備通信定位定位跟蹤技術普適計算系統的算法范例活動識別和跟蹤上下文感知計算基于位置的服務和應用服務創建、組合、發現、管理和交付中間件系統和服務人類用戶界面和交互模型普及和移動計算系統中的信任、可靠性、安全性和隱私性普適和移動計算系統的性能評估

  英文簡介

As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to:Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physical Systems and Cyber-Physical Social SystemsSmart Systems and Applications (smart cities, smart manufacturing, smart transportation, smart grid, smart health, etc.)Smart Spaces and Intelligent EnvironmentsSmart ComputingCognitive ComputingSocial ComputingInternet of Things and Social Internet of ThingsInternet of PeopleEdge, Fog, Mobile Cloud and Opportunistic ComputingAI and Big Data Analytics in Pervasive Computing SystemsUrban Sensing and Mobile CrowdsensingParticipatory and Social SensingEnabling Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesMachine-to-Machine and Device-to-Device CommunicationsPositioning, Localization and Tracking TechnologiesAlgorithmic Paradigms for Pervasive Computing SystemsActivity Recognition and TrackingContext-aware ComputingLocation-based Services and ApplicationsService Creation, Composition, Discovery, Management, and DeliveryMiddleware Systems and ServicesHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems

  近年期刊自引率趨勢圖

  JCR分區

JCR分區等級 JCR所屬學科 分區 影響因子
Q2 TELECOMMUNICATIONS Q2 3.848
COMPUTER SCIENCE, INFORMATION SYSTEMS Q2

  近年期刊影響因子趨勢圖

  CiteScore數值

CiteScore SJR SNIP 學科類別 分區 排名 百分位
7.90 1.062 1.223 大類:Computer Science 小類:Computer Networks and Communications Q1 46 / 359

87%

大類:Computer Science 小類:Computer Science Applications Q1 99 / 747

86%

大類:Computer Science 小類:Information Systems Q1 50 / 353

85%

大類:Computer Science 小類:Hardware and Architecture Q1 28 / 167

83%

大類:Computer Science 小類:Software Q1 67 / 398

83%

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