-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Invitation to submit paper in PerAwareCity 2019 workshop, collocated with IEEE Percom 2019 conference Datum: Tue, 23 Oct 2018 14:43:25 -0400 Von: Gani, Md Osman ganim@MIAMIOH.EDU Antwort an: Gani, Md Osman ganim@MIAMIOH.EDU An: tccc-announce@COMSOC.ORG
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Fourth IEEE International Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transportation Systems (PerAwareCity2019) [Along with IEEE Percom 2019]
March 11/15, 2019, Kyoto, Japan
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Cities and urban areas are an ideal platform for researchers and practitioners to test new technologies, concepts and applications. In Europe and the US, the population living in urban areas accounts for more than 75 percent. As a consequence, applications that are targeting urban areas can positively impact a significant fraction of the population in terms of various social benefits. In addition, the majority of the planet’s resources are consumed in cities. This, in turn, creates a significant potential for reducing the environmental impact of mankind by enhancing and optimizing the physical infrastructure digitally.
The ongoing advances in Pervasive Computing technology have delivered interesting hardware platforms that are suitable for city-scale infrastructure deployments. In addition, the success of mobile communication devices and mobile broadband connectivity enables citizens to tap into the digital resources that surround them anytime and anywhere. Another foremost important technology for building future generation of smart city applications is intelligent (real time) analytics and decision making by processing streaming sensor data available from the surrounding environment. Fleets of smart cars can be a distributed computational and sensing resource. Also, increasingly large crowds of people are being equipped with sensor-rich mobile and wearable devices, yielding Big Data arising from such environments, e.g., GPS data and social activity data, which can facilitate wide-scale crowd-sensing and crowdsourcing, contributing towards data acquisition in smart city applications. With such data, both centralized analytics and decentralized analytics could play a key role in data sense-making and decision making. Also, such analysis can be combined with data from increasingly deployed fixed sensors or IoT infrastructure in the city.
Context-aware applications in the smart city are numerous, from transportation, energy, safety to low-carbon living. There are many context reasoning and data acquisition, analytics and knowledge management issues in ITS and smart cities, such as architectural and algorithmic issues, incentive mechanisms, energy-efficiency, data verification, complex pervasive computing interactions, cost efficiency, urban data issues, data privacy and security, to name a few.
Recently researchers are actively engaged in finding the applications of Artificial Intelligence (AI) and Machine Learning (ML) in solving various data analytics and decision making problems related to Smart Cities which can benefit the society as a whole. E.g, (a) efficient water quality monitoring can ensure proper quality of water served for drinking, industry or agricultural purposes depending on specific requirements; (b) efficient healthcare assistant can track health status of elderly individuals staying alone in home to make decisions during emergency events through continuous learning; or (c) they can provide tailored services to patients in smart hospitals, (d) intelligently choosing proper sensor or communication interface depending on the data volume, communication requirement and importance of the event, (e) providing intelligent road traffic routing depending on action priorities of the user and based on the congestion condition which can further depend on weather or any other unexpected events, such as, accident, strike, etc.
This workshop will focus on bringing together researchers and practitioners working on systems and applications in the Smart City domain. All the architectural, networking and decision making aspects will be investigated and discussed. Underlying structure of Smart City systems, including different possible architectural models such as peer-to-peer, location based, server oriented, and hybrid models will be studied. Almost all smart city related problems, which are important for the societal welfare, and could potentially be solved using AI techniques, can be presented in this workshop by researchers from industry and academia. In general, we want to focus on solutions of the following questions: (a) how to design city-scale smart systems with autonomous coordination capabilities; (b) how to develop intelligent decision making abilities in emergency and safety-critical systems or during medium and large-scale disasters, and (c) how to handle real-time conditions innovate computing technology for diverse societal applications to improve the human experience. We also hope to produce a post-workshop position paper providing a summary perspective and future directions for work in the area. A community of researchers and practitioners will also be created and nurtured via this workshop.
Smart City as an emerging area attracts researchers to organize several thematic workshops and conferences. The 3rd IEEE INFOCOM Workshop on Smart Cities and Urban Computing is focusing on bringing together researchers in the field of system, networking and communication to discuss major challenges, research problems, and potential applications to support smart cities and urban informatics. The First IEEE International Conference on Smart City Innovations (IEEE SCI 2017) focuses on smart city related applications and services. However, large scale data management and decision making for smart cities is not receiving enough attention. So, in this workshop, we propose to include the social good aspects of smart city applications using AI or ML techniques which are novel concepts and will be attractive to the community as a cross-disciplinary perspective. In summary, this workshop is unique (different from other ITS and smart city conferences) in its emphasis on the combination of context-aware computing, ITS and smart cities (IoT), and aims to maintain the important link between smart cities and pervasive computing.
Therefore PerAwareCity solicits papers addressing relevant topics, including - but not limited to - the following:
Smart City systems and platforms Experiences from real-world experiments and deployments Smart City applications, e.g. smart traffic management, smart healthcare, smart grid, smart waste management, Pollution control and management, Environmental sustainability, Water quality monitoring, Criminal activity profiling Crowdsourcing and human computation Internet of Things, Web and Linked Data technologies for Smart Cities Big data in Smart City, Smart City Intelligent Data Processing Cyber-physical systems and society End user involvement, acceptance and user support aspects Participatory sensing and processing Sensor, Actuators and their networking in Smart Cities Safety, security and privacy for Smart City applications Scalability of Smart City systems and beyond (Smart Regions / Countries) Adaptable, recoverable, and fault tolerant Smart City systems Management, configuration, and deployment of Smart City infrastructures, Smart Infrastructure Health Monitoring
We also welcome papers on novel applications or environments that have a strong Smart City component, especially if those novel applications and environments challenge existing ideas and design techniques.
Organization
General Co-Chairs
Vaskar Raychoudhury, Miami University, Oxford, Ohio Janick Edinger, Universität Mannheim Seng W. Loke, Deakin University, Australia
Program Chair
Md. Saiedur Rahaman, RMIT University, Melbourne
Web Chair
Vaskar Raychoudhury, Miami University, Oxford, Ohio
Publicity Co-Chairs
Md. Osman Gani, Miami University, Oxford, Ohio Divya Saxena, The Hong Kong Polytechnic University
Program Committee Members
Abdur Rahim Md. Forkan, Swinburne University of Technology, Australia Aniello Castiglione, Università di Salerno, Italy Anis Laouiti, TELECOM SudParis, France Arkady Zaslavsky, Data61, Australia Ashfaqur Rahman, CSIRO, Australia Christian Becker, University of Mannheim, Germany Daniela Nicklas, University of Bamberg, Germany Dian Tjondronegoro, Southern Cross University, Australia Flora Salim, RMIT University, Melbourne Lei Yang, South China University of Technology, China Md. Mamun-or-Rashid, University of Dhaka, Bangladesh Navrati Saxena, Sungkyunkwan University, South Korea Niroshinie Fernando, Deakin University, Australia Prasun Ghosal, Indian Institute of Engineering Science and Technology, Shibpur Sateesh Kumar Peddoju, Indian Institute of Technology Roorkee Seng W. Loke, Deakin University, Australia Snehanshu Saha, PES University, India Sunyanan Choochotkaew, Osaka University, Japan Sushanta Karmakar, IIT Guwahati, India Weigang Wu, Sun Yat-sen University, China Zhangbing Zhou, Institute Telecom, France Zhiwen Yu, Northwestern Polytechnical University
Submission Guidelines
Submitted papers must be original contributions that are unpublished and are not currently under consideration for publication by other venues. Paper submissions should be no longer than 6 pages with a font size of 10 using the IEEE conference template. Papers must be submitted electronically as PDF files. All submitted papers will be subject to single blind peer reviews by Technical Program Committee members and other experts in the field. All presented papers in the conference will be published in the proceedings of the conference and submitted to the IEEE Xplore Digital Library. Papers must be submitted electronically as PDF files through the EDAS link https://edas.info/newPaper.php?c=25396 .Each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only).
Important dates
Workshop paper submission deadline : November 10, 2018
Notification of paper acceptance : December 22, 2018
Submission of camera-ready deadline : January 11, 2019 [FIRM]
------------------------------------- Best,
Md Osman Gani, PhD Department of Computer Science and Software Engineering Miami University 205Q Benton Hall 510 East High Street Oxford, Ohio Email: ganim@miamioh.edu Phone: 513-529-4283 Web: http://users.miamioh.edu/ganim/ http://osmanii.com/
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