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BLOCKCHAIN
5G
MACHINE LEARNING
AI
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About |
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The spread of the Internet of Things (IoT) in industrial environments has fostered the development of new Industrial IoT (IIoT) applications and, more in general, the advent of the Industry 4.0 revolution. The current trend is towards the development of connected machines able to interact with each other as well as to send data and access cloud and Internet services. In particular, real-world industrial use cases are usually characterized by stricter Quality of Service (QoS) requirements compared with traditional IoT applications, especially in terms of reduced latency, limited (or no) packet loss, wide and guaranteed bandwidth. Moreover, the integration of consolidated Operational Technology (OT) processes and relatively novel Information Technology (IT) services poses novel challenging issues in terms of safety and security (e.g., cyber-attacks could compromise the functionalities of machines also representing a risk for human operators). Smart components and services within industrial environments represent a novel and promising solution not only to better support QoS requirements, but also to more easily reconcile safety requirements of OT with the openness and dynamicity typical of the IT. Moreover, the emergence of edge devices equipped with relatively high computational, memory, and storage capabilities facilitates the adoption of these technologies. They are not only able to increase the efficiency of existing industrial processes, e.g., by more promptly identifying faulty machines to reduce the downtime and maximize OLE/OEE KPIs, but also to provide new business opportunities, e.g., by widening the market offering industrial equipment based on pay-per-use fees. |
Call for Papers |
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This workshop aims at bringing together researchers and practitioners interested in or working on innovative solutions for smart services in industrial environments. Experimental use cases based on real-world testbeds are particularly welcome. Topics of interests include but are not limited to:
Submission GuidelinesPaper submissions should be no longer than 6 pages (including references) and formatted according to the IEEE conference template. Papers must be submitted electronically as PDF files through EDAS at https://edas.info/N27132. All submitted papers will be subject to peer reviews by Technical Program Committee members and other experts in the field. All presented papers will be published in the SmartComp2020 conference proceedings and submitted to the IEEE Xplore Digital Library. All accepted papers will be EI indexed. Important Dates
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Summary |
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SCIRS 2020 : First International Workshop on Smart Computing for Industrial and Real-World Systems will take place in Bologna, Italy. It’s a 4 days event starting on Jun 22, 2020 (Monday) and will be winded up on Jun 25, 2020 (Thursday). SCIRS 2020 falls under the following areas: BLOCKCHAIN, 5G, MACHINE LEARNING, AI, etc. Submissions for this Workshop can be made by Mar 22, 2020. Authors can expect the result of submission by Apr 13, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 30, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the SCIRS 2020
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Credits and Sources |
| [1] SCIRS 2020 : First International Workshop on Smart Computing for Industrial and Real-World Systems |
