Call for Book Chapters on Intelligent Technologies for Internet of Vehicles
George Mastorakis <[email protected]> Fri, 17 Apr 2020 12:45:25 +0300
| Newsgroups | gmane.comp.web.rdf.logic |
|---|---|
| Organization | Hellenic Mediterranean University |
| Message-ID | <[email protected]> |
This is a multi-part message in MIME format. --------------BB3ACBCE56832B196115BD16 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 8bit Call for Book Chapters for the Springer-Verlag Handbook: “Intelligent Technologies for Internet of Vehicles” Series on Internet of Things - Technologies, Communications and Computing (covered by Scopus) Editors: - Naercio Magaia, University of Lisbon, Portugal - George Mastorakis, Hellenic Mediterranean University, Greece - Constandinos X. Mavromoustakis, University of Nicosia, Cyprus - Evangelos Pallis, Hellenic Mediterranean University, Greece - Evangelos K. Markakis, Hellenic Mediterranean University, Greece Internet-of-things (IoT) has appeared as a novel and ground-breaking technology aiming to provide Internet connectivity to every device that have computation, communication and storage capability. Numerous applications such as smart health, smart cities, smart industries, and smart homes are a result of this phenomenon of connecting smart devices with the Internet. In order to provide secure and safe transportation, IoT has evolved into a novel concept, also known as the Internet of Vehicles (IoV) where smart vehicles equipped with computing, communicating and storing capabilities communicate with each other and with surrounding infrastructure via vehicle-to-everything (V2X) communications. The latter enabled the exchange of critical information among smart vehicles including sudden lane changes, steep-curves, black ice warnings, and traffic accidents avoidance, therefore assisting the drivers in extreme and difficult situations. IoV has an enormous potential to provide secure and safer transportation as it enables the vehicles to take correct decision in a timely manner. In addition, IoV will also have intelligence and learning capabilities to anticipate the vehicular users’ intentions. Cloud-based IoV mechanisms provide several essential services from routing to content search, spectrum sharing, dissemination, attack protection, etc. However, IoV-based objects produce a vast volume of information frequently called as Big Data, which cannot be easily processed by traditional algorithms and schemes. Future smart environments will enable efficient handling and processing of Big Data that is generated by the associated objects for an effective communication and co-operation among them. In addition, Artificial Intelligence (AI) will play a crucial role in such environments, enabling for smarter services, applications, business processes and social interaction among the IoV objects. In this respect, a great potential exists for advanced technological solutions combined with AI and IoV-enabled capabilities. AI mechanisms applied in IoV environments can be exploited in smart cities to analyze drivers’ actions via data gathered and/or exchanged by enabled V2X vehicles’ Electronic Control Unit (ECU) and microcontrollers. AI will play a significant role in future IoV applications and infrastructures, by providing insights from collected data. This capability will enable the identification of patterns and will allow operational predictions with higher accuracy in small time periods. AI applications for smart vehicles will also enable businesses to develop new products, reduce possible risks and increase efficiency during the production time, by predicting failures that are usually non-detectable by humans. The future of the implementation of AI-powered IoV infrastructures depends on the effective solutions to a number of technical challenges that such paradigms introduce. These challenges include intelligent sensor capabilities improvement and integration, smart Big Data analytics, automated remote data management, as well as open and secure composition of processes, which may be implemented into emerging AI-enabled IoV scenarios. Some initiatives try to incorporate Artificial Intelligence schemes in IoV environments, but new frameworks have to be defined. In fact, the approach of IoV is to find the potential benefits of AI, in order to build extensive ecosystems, for increasing the number of automated services and their value. This Book aims to gather recent research works in emerging Artificial Intelligence methods for processing and storing the data generated from cloud-based Internet of Vehicles infrastructures. In this context, the major subjects of the proposed book will cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. Topics of interest include but are not limited to: - Emerging trends of AI and IoV - Architectures and systems for AI and IoV convergence - IoV with Machine Learning technologies - IoV with deep learning schemes - AI-enabled IoV applications and systems - Performance evaluation of Deep Learning and IoV-related mechanisms - Social computing and Intelligent IoV - Blockchain-oriented IoV schemes and related topics - Artificial immune systems and IoV - Algorithm optimization for intelligent IoV applications - Intelligent Big Data analytics - AI-enabled computing - Deep-learning network approaches for IoV applications and services. - Applications of AI for 5G-based IoV resource management - Intelligent edge/fog-based computing and analysis - Self-Organizing intelligent systems - Smart cities and AI applications - AI in all sort of vehicular communications - Security, privacy and trust by design and performance evaluation - Multimedia QoS, and traffic management in IoV - Intelligent network estimation techniques - AI-based schemes for IoV emergency communication networks - Applications of AI for 5G+ vehicular technologies We strongly welcome other topic suggestions, dealing with AI and IoV and any converged approach. Schedule & Deadlines - 15th April 2020 *(New Deadline: 15th May 2020)* Chapter proposal (max. 2-pages)/Intention to submit a chapter - 31st July 2020 Full chapter submission via e-mail: [email protected] - 30th September 2020 Review comments - 31st October 2020 Submission of the revised version - 30th November 2020 Final acceptance notification - 31st December 2020 Final manuscript Manuscript Preparation - Please follow the manuscript formatting guidelines below and submit the original version (in Microsoft word) and or LaTex format as per the guidelines (URL: http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip). - Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted. - Please prepare your manuscript according to the following guidelines: http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc - Submit the proposal of your chapter(s) via e-mail: [email protected] --------------BB3ACBCE56832B196115BD16 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: 8bit <html> <head> <meta http-equiv="content-type" content="text/html; charset=UTF-8"> </head> <body> <div class="moz-forward-container">Call for Book Chapters for the Springer-Verlag Handbook: “Intelligent Technologies for Internet of Vehicles”<br> <div class="moz-forward-container"> <p> Series on Internet of Things - Technologies, Communications and Computing (covered by Scopus)<br> <br> Editors:<br> - Naercio Magaia, University of Lisbon, Portugal<br> - George Mastorakis, Hellenic Mediterranean University, Greece<br> - Constandinos X. Mavromoustakis, University of Nicosia, Cyprus<br> - Evangelos Pallis, Hellenic Mediterranean University, Greece<br> - Evangelos K. Markakis, Hellenic Mediterranean University, Greece<br> <br> Internet-of-things (IoT) has appeared as a novel and ground-breaking technology aiming to provide Internet connectivity to every device that have computation, communication and storage capability. Numerous applications such as smart health, smart cities, smart industries, and smart homes are a result of this phenomenon of connecting smart devices with the Internet. In order to provide secure and safe transportation, IoT has evolved into a novel concept, also known as the Internet of Vehicles (IoV) where smart vehicles equipped with computing, communicating and storing capabilities communicate with each other and with surrounding infrastructure via vehicle-to-everything (V2X) communications. The latter enabled the exchange of critical information among smart vehicles including sudden lane changes, steep-curves, black ice warnings, and traffic accidents avoidance, therefore assisting the drivers in extreme and difficult situations. IoV has an enormous potential to provide secure and safer transportation as it enables the vehicles to take correct decision in a timely manner. In addition, IoV will also have intelligence and learning capabilities to anticipate the vehicular users’ intentions. Cloud-based IoV mechanisms provide several essential services from routing to content search, spectrum sharing, dissemination, attack protection, etc. However, IoV-based objects produce a vast volume of information frequently called as Big Data, which cannot be easily processed by traditional algorithms and schemes. Future smart environments will enable efficient handling and processing of Big Data that is generated by the associated objects for an effective communication and co-operation among them.<br> <br> In addition, Artificial Intelligence (AI) will play a crucial role in such environments, enabling for smarter services, applications, business processes and social interaction among the IoV objects. In this respect, a great potential exists for advanced technological solutions combined with AI and IoV-enabled capabilities. AI mechanisms applied in IoV environments can be exploited in smart cities to analyze drivers’ actions via data gathered and/or exchanged by enabled V2X vehicles’ Electronic Control Unit (ECU) and microcontrollers. AI will play a significant role in future IoV applications and infrastructures, by providing insights from collected data. This capability will enable the identification of patterns and will allow operational predictions with higher accuracy in small time periods. AI applications for smart vehicles will also enable businesses to develop new products, reduce possible risks and increase efficiency during the production time, by predicting failures that are usually non-detectable by humans.<br> <br> The future of the implementation of AI-powered IoV infrastructures depends on the effective solutions to a number of technical challenges that such paradigms introduce. These challenges include intelligent sensor capabilities improvement and integration, smart Big Data analytics, automated remote data management, as well as open and secure composition of processes, which may be implemented into emerging AI-enabled IoV scenarios. Some initiatives try to incorporate Artificial Intelligence schemes in IoV environments, but new frameworks have to be defined. In fact, the approach of IoV is to find the potential benefits of AI, in order to build extensive ecosystems, for increasing the number of automated services and their value. This Book aims to gather recent research works in emerging Artificial Intelligence methods for processing and storing the data generated from cloud-based Internet of Vehicles infrastructures. In this context, the major subjects of the proposed book will cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures.<br> <br> Topics of interest include but are not limited to:<br> - Emerging trends of AI and IoV<br> - Architectures and systems for AI and IoV convergence<br> - IoV with Machine Learning technologies<br> - IoV with deep learning schemes<br> - AI-enabled IoV applications and systems<br> - Performance evaluation of Deep Learning and IoV-related mechanisms<br> - Social computing and Intelligent IoV<br> - Blockchain-oriented IoV schemes and related topics<br> - Artificial immune systems and IoV<br> - Algorithm optimization for intelligent IoV applications<br> - Intelligent Big Data analytics<br> - AI-enabled computing<br> - Deep-learning network approaches for IoV applications and services.<br> - Applications of AI for 5G-based IoV resource management<br> - Intelligent edge/fog-based computing and analysis<br> - Self-Organizing intelligent systems<br> - Smart cities and AI applications<br> - AI in all sort of vehicular communications<br> - Security, privacy and trust by design and performance evaluation<br> - Multimedia QoS, and traffic management in IoV<br> - Intelligent network estimation techniques<br> - AI-based schemes for IoV emergency communication networks<br> - Applications of AI for 5G+ vehicular technologies<br> <br> We strongly welcome other topic suggestions, dealing with AI and IoV and any converged approach.</p> <p>Schedule & Deadlines</p> <p>- 15th April 2020 <b>(New Deadline: 15th May 2020)</b><br> Chapter proposal (max. 2-pages)/Intention to submit a chapter<br> - 31st July 2020<br> Full chapter submission via e-mail: <a class="moz-txt-link-abbreviated" href="mailto:[email protected]" moz-do-not-send="true">[email protected]</a> <br> - 30th September 2020<br> Review comments <br> - 31st October 2020<br> Submission of the revised version <br> - 30th November 2020 <br> Final acceptance notification<br> - 31st December 2020 <br> Final manuscript<br> <br> Manuscript Preparation<br> - Please follow the manuscript formatting guidelines below and submit the original version (in Microsoft word) and or LaTex format as per the guidelines (URL: <a class="moz-txt-link-freetext" href="http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip" moz-do-not-send="true">http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip</a>).<br> <br> - Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted.<br> <br> - Please prepare your manuscript according to the following guidelines:<br> <br> <a class="moz-txt-link-freetext" href="http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324" moz-do-not-send="true">http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324</a><br> <a class="moz-txt-link-freetext" href="http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc" moz-do-not-send="true">http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc</a> <br> <br> - Submit the proposal of your chapter(s) via e-mail: <a class="moz-txt-link-abbreviated" href="mailto:[email protected]" moz-do-not-send="true">[email protected]</a> <br> <br> </p> </div> </div> </body> </html> --------------BB3ACBCE56832B196115BD16--