Special Issue on "Intelligent Environments in Education and Culture"

This special issue focuses on enriched physical and augmented environments such as smart classrooms
and museums, virtual / mixed reality environments, intelligent learning clouds or mobile and augmented
reality systems that can interact with students, teachers, and visitors at different levels, encoding
pedagogical and cultural enrichment reflective of a student’s or visitor’s perception and thus providing
enriching, novel ways of perception...


Referers to Transaction: 
Future Intelligent Educational Environments

The EXelerator exhibit at the ICT2013


The ICT2013 digital technology event was organized by the European Commission in partnership with the Lithuanian Presidency of the Council of the EU, and the official sponsors of the Presidency; it was a three days event packed with top ICT professionals, speakers from across the ICT sector, and included a detailed presentation on how to participate in the next EU's research program - Horizon 2020; with 5,315 participants and more than 200 exhibits this event was a celebration of science and innovation.
The EXeleraor team showcased EAI’s virtual accelerator platform, with its dissemination and exploitation opportunities. The EXelerator drew the attention and interest of the scientific community as well as the ICT industry and registered many applicants to the upcoming second pilot of a world-class acceleration program.
Overall this first reveal of the platform generated much interest and got positive feedback, as well as the visitors where keen on getting on board and utilizing the EXelerator platform for dissemination and exploitation of their projects.
The EXelerator platform is currently running its first pilot with projects from various fields and countries, the virtual acceleration program includes professional and personal mentoring, weekly webinars, and a structured program designed to meet each project’s goals. The pilot registered its first success when one of the projects already managed to raise $90,000 from friends and family, and now is on the way to kick-starter. This first pilot will end on February 28th with a Demo Day – investors from 5 different countries, will log in to the EXelerator’s pitching platform and meet the teams, who will present their projects.

To receive more updates about the EXelerator platform we invite you to register here.

Special Issue on Intelligent Technologies for Interactive Entertainment

This special issue aims to encourage and publish research about the challenges and opportunities associated with applying intelligent and interactive technologies to culture, arts and entertainment...


- By April 18th, 2014: Submission of manuscripts
- By June 18th, 2014: Notification about decisions on initial submissions
- By August 18th, 2014: Submission of revised manuscripts
- By October 18th, 2014: Notification about decisions on revised manuscripts

Referers to Transaction: 
Creative Technologies

One line SPC

One line SPC

State of the art integration of technology and analytics

Internet and Mobility
Attached Media: 
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Collaborative Computing

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With the recent advances in computing and information technologies, we are seeing unprecedented opportunities for increased electronic collaborations among individuals and distributed teams of humans, computer systems and applications, and/or a highly heterogeneous set of computing devices. Computing technologies have continued to evolve from standalone tools, to open systems and from general purpose tools to specialized collaboration grids and infrastructures that facilitate intensive collaboration in multi-organizational settings, as well as in the context of global scale social interactions and worksharing. Such collaborations are enabling large and globally dispersed organizations to achieve a much higher level of productivity and jointly produce innovative and powerful products that would be impossible to develop without the contributions of multiple collaborators. Novel collaboration solutions that fully realize the promises of electronic collaboration, and pushes the limits of human endeavor, productivity and discovery require innovations and advancements in broad areas of computing including networking, systems and applications, user interfaces and interaction paradigms, and seamless interoperation among system, network and application-specific components and tools.

The goal of this journal is to serve as a premier international venue for publishing innovative and cutting edge research results in theory as well as applied systems, applications and networking areas that enable intensive and efficient collaboration across and among networked cyber-physical and social systems and applications, individuals as well as enterprises. Sample topics of interest include, but are not limited to:
- Theoretical foundations and algorithms for collaborative networks, applications, and worksharing
- Architectures, protocols, and enabling technologies for collaborative networks, systems and applications
- Autonomic computing and quality of services in collaborative networks, systems, and applications
- Collaboration in context-aware, pervasive, cloud computing, social networking, and cyber physical environments
- Collaborative multimedia systems/applications, large scale databases and BigData
- Collaboration in e-health, e-learning, e-government, and digital libraries
- Collaborative network infrastructures such as body area networks, wireless sensor networks, VANETS, mobile networks, etc.
- Models and mechanisms for real-time and large scale collaboration, information sharing and worksharing
- Security, privacy, resiliency/survivability and trust management in collaborative networks, systems, and applications
- Simulation, performance evaluation, experiments, and case studies of collaborative environments
- Collaborative web services technologies, business processes, workflows, and service-oriented systems and architectures
- Etc.


Calton Pu, Georgia Institute of Technologies, USA

Internet of Things

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The aim of the EAI Endorsed Transactions on Internet of Things (TIoT) is to provide an ideal environment for crystallising  original results and achievements in the Internet of Things domain. TIoT scope encompasses all areas related to the technologies and application fields related to IoT. In particular, original and outstanding results related to the research, development and implementation aspects of any technological, economical and sociological field that bears a significant relationship and impact on IoT. While pursuing a rigorous scientific approach, TIoT will provide a voice to different communities, and will foster synergies between different fields. Computer Science disciplines closely related to IoT, such as Modelling, Networking, Embedded Devices and Security, will integrate novel results with Governance, Economical and Social studies in order to provide a clear and unifying vision for the upcoming IoT.

We invite submissions that present significant results in theoretical and experimental analysis and evaluation of technologies with specific areas including, but not limited to, networking for constrained devices, business models and applications, modelling, architectures and system design for smart objects, cooperative data processing for IoT, social impact of novel IoT technologies, security for embedded devices, semantic and behavioural aspects of interconnected devices.


Alessandro Bassi

Creative Technologies

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Submission instructions: 

• No fees for the authors and open access to all papers

• Very short review time using e-Scripts

• A PDF file containing additional links to videos, web pages or social networks can be uploaded with the paper (strongly encouraged).

• Two paper types:

    o Short papers: typically 5 (+/- 2) pages (brave new ideas, artistic installations with technological content, technical creative demonstrators).

    o Full papers: typically 9 (+/- 4) pages (tutorials and survey papers, whole industrial systems, creative installations and frameworks).


Given the accelerated changes and deeply interconnected activities of the times we are living in, creativity is a key factor of disruptive future developments. Creative and entertainment industries nowadays represent more than 3% of the GDP in Europe and they range from creative content providers (TV & radio, fashion, music) through creative experience providers (movies and music experience) to creative services providers (advertising, design, architecture).

Creative services, contents and experiences present knowledge requirements that are defined increasingly beyond a single discipline and appear to lie in a sound engagement among the creative practitioner (artist/designer/composer/entertainer), the engineer and the scientist. Digital arts, creative industries, and (tele)communication + (social) signal processing speak the language of convergence rather than autonomy. Their interaction calls for special attention now more than ever.
EAI Transactions on Creative Technologies aims at creating a forge between computational arts, creative industries and applied science(s). The Journal seeks for high-level contributions addressing several of those aspects with a special focus on at least one of them:

Creative Industries - the paper can describe a whole industrial project or framework integrating creative technologies for domains such as:

  • Creative content providers: TV & radio (broadcast, linked media), fashion (RFID and sensors, energy recycling), music & movies, books (digitization, sonification), museums (creative/artistic installations for tourism or cultural heritage) and media archives, etc.
  • Creative services providers: Advertising (user-centered web and ads optimization), design (communication devices for creative environments), architecture (places that adapt to people, creativity from domotics), new media and transmedia, etc.
  • Creative experience providers: Movies and music experience, game-based installations and playable media (participative creation, DJs and VJs creative tools), interactive social and urban spaces, etc.

Scientific topics - the paper can focus on scientific tools for creative industries on topics such as:

  • Creative content management: Multimedia data mining and innovative browsing, data 2D/3D visualization, digitization and storage, cultural heritage, etc.
  • Creative interactions: Social signal processing, verbal and nonverbal, explicit or implicit interactions, interacting robots, sensors and MoCap, human-computer interaction, user interface design,  serious game etc.
  • Creative experiences: Affective content analysis and synthesis, immersive technologies, special effects, augmented reality, expressivity and emotion detection and processing, user experiences, etc.

Additional materials such as videos of installations and setups, public/users reactions and comments, or demo links are welcome.


Matei Mancas, University of Mons, Belgium

Matei MANCAS has an Audiovisual Systems and Networks engineering degree (Ir.) from ESIGETEL Engineering School, France, and a MSc. degree in Information Processing from the University of Paris XI (Orsay). He holds a PhD in applied sciences from the Engineering Faculty of Mons (FPMs), Belgium since 2007. He made several research visits abroad as in La Sapienza University in Rome, Italy and IRISA-INRIA in Rennes, France.

Cognitive Communications

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The application of intelligent technologies in communication systems could be tracked back into 1990s. The emerging of cognitive radio targeted on the revolutionary spectrum access paradigm has sparked a radical change on wireless system design, development and performance analysis. Since then the state-of-the art of wireless communications has been significantly advanced, from substantial improvement on spectrum usage, smart adaptation and coexistence in radio and network environments, fundamental enhancement on performance and capacity, to considerable reduction of complexity in network management. After a decade of research on cognitive radio and networks, the concept of cognition has been naturally and widely extended to whole communication areas, not limited to wireless systems, but also in wired networks. Cognitive technologies become promising tools for the communication industry to meet the challenge of coming data traffic tsunami. Solutions for energy efficient, sustainable future Internet are heavily relied on advanced cognitive technologies, new ways of thinking on network design and development, as well as new theoretic foundations. We believe cognitive communication technologies will remain an important and active area of research for next several decades. It becomes necessary to provide a common forum to publish high quality papers, and to offer readers a single source to get inspiring ideas and important findings in this area. It is our honor to create, for the first time, dedicated transactions on cognitive technologies for communications, to fulfill this purpose.
The aims of the transactions are:
• to provide a dedicated platform for timely publishing of high quality, peer-reviewed, original papers in fields of cognitive communications;
• to become a highly cited source of latest findings in cognitive radio and cognitive communication networks;
• to become a leading journal that advances the state-of-the art of communications from a well-focused direction.

The transactions provide flexible means to publish latest results in a timely manner. It accepts the submission of:
• regular research papers, for original scientific contributions,
• fast-track communications, for short findings,
• topical reviews.

The scope of the transactions includes, but not limited to:
• Information-theoretic aspects of cognitive communication systems
• Spectrum sensing and dynamic spectrum access
• Spectrum pricing, economics models and game-theoretical strategies
• Interference analysis and statistical models of spectrum usage
• Physical (PHY) layer design for cognitive radios
• Dynamic medium access control techniques for cognitive communication systems
• Dynamic resource allocation in cognitive communication systems
• Co-existence of heterogeneous networks
• Artificial intelligence and machine learning for cognitive communication systems
• Bio-inspired communication systems
• Cooperative techniques in cognitive communication systems
• Cross-layer optimization for cognitive communication systems
• Routing and network technologies for cognitive communication systems
• Trust and security issues in cognitive communication systems
• Energy-efficiency design in cognitive communication systems
• Software defined radio
• Self-organizing networks


Dr. Tao Chen, received B.S. degree from Beijing University of Posts and Telecommunications, Beijing, China in 1996 and Ph.D. degree from University of Trento, Italy in 2007. He joined VTT, Finland, in 2008, and currently he is a senior researcher at the group of communication platform.  He has been the TPC co-chair of ISCIT 2011 and served as the TPC member in a variety of international conferences, e.g.

Industrial Networks and Intelligent Systems

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Along with the fast development of computer technologies, e.g., ubiquitous computing, cloud computing and cyber-physical system, all kinds of networks (e.g., control network, communication network, sensor network, body area network, social network, opportunistic network, cloud-based network, etc.) appeared and were applied in large-scale factories, including a lot of traditional and new industries, e.g., textile industry, coal industry, mining industry, steel industry, machinery industry, petrochemical industry, and biomedical industry, etc. Assisted by various industrial networks, automation in industry can reduce cost greatly because it takes advantage of control systems and information technologies to optimize productivity in the production of goods and delivery of services. However, the industrial environment is dynamic and harsh usually, including extreme temperature, humidity, electromagnetic interference and vibration, which proposed specific requirements to intelligent industrial systems under certain circumstances. All these highlight the criticality of the design, analysis and implementation of intelligent industrial systems. This journal is committed to the timely publication of the latest research and developments in the areas of industrial networks and intelligent systems. Full papers, letters, surveys, as well as essays are welcomed. All submissions will go through a rigorous peer-review process, and be reviewed by expert referees and evaluated by the editorial board. The scope of the journal includes, but is not limited to:

  • Applications of wireless sensor networks, body area networks in large-scale factories, such as fault theories of industrial wireless networks, including routing, network control and management, reliable transmission and architectures, etc.
  • Applications of social networking and cloud computing in large-scale factories (e.g., intelligent systems enhanced by social networking, cloud-based industrial networks, cloud-assisted intelligent systems, etc.)
  • Analysis of industrial control and communication networks, including network lifetime, security, network scalability and stability, etc.
  • Network protocols and algorithms for industrial environments at any network device communication layer
  • Design and choice of industrial network protocols (e.g., EtherNet/IP, Ethernet Powerlink, EtherCAT, Modbus-TCP, Profinet, SERCOS III, etc.)
  • Opportunistic networks in the industry, such as underwater sensor networks in sewage treatment systems, including establishing a temporary data transmission structure using available devices (e.g., underwater robot, surface data station, surface sink and under water sink), optimizing horizontal multi-hop data links (e.g., 3D data transmission), etc.
  • Industrial applications of intelligent systems, including collaborative systems, high-level control concepts (e.g., multi-agent and holonic systems, service-oriented architectures), low-level control concepts (e.g., IEC 61131-3 and IEC 61499-based control), advanced system engineering concepts (e.g., model-driven development, component-based design), etc.
  • Design and analysis of real-time embedded industrial systems, including real-time computing, real-time operating systems, real-time communications, networked embedded systems technology, etc.
  • Novel industrial control techniques, with respect to process control, equipment control, supervisory control, adaptive control, motion control, etc.
  • Automated manufacturing systems, regarding formal modeling and analysis of manufacturing systems, scheduling of manufacturing systems, queuing systems and petri nets in manufacturing systems, etc.
  • Computational intelligence in automation, including neural, fuzzy, evolutionary approaches in automation, ant colonies optimization and swarm intelligence in automation, machine learning, expert systems, etc.
  • Hardware and software design and development for intelligent systems, such as intelligent and humanized production monitoring and control, etc.
  • Big data analysis and processing in the industry, including constructing data analysis models, providing data analysis and processing tools and designing various optimization algorithms based on data analysis.
  • Crowd-sourced behavior analysis in the industry. For example, measuring and calculating the diffusion direction and speed of gas in the petrochemical industry based on crowd-sourced data from a large number of and various types of sensors.
  • Simulation and testbed of current industrial networks and intelligent systems, including network performance analysis, automated manufacturing, intelligent monitoring, disaster prevention, etc.
  • Vision of future smart factories, incorporating current existing technologies.
  •  Multimedia application in industrial systems: including multimedia processing, multimedia retrieval, multimedia indexing, image sensing, image processing, image coding and image recognition, etc.
  • Pattern recognition methods for industry: including statistical theory, clustering, similarity measures, unsupervised learning, supervised learning, etc.
  • Survey, review and essay of current industrial networks researches and intelligent systems development.


Lei Shu, received the B.Sc. degree in Computer Science from South Central University for Nationalities, China, in 2002 and the M.Sc. degree in Computer Engineering from Kyung Hee University, Korea, in 2005 and the Ph.D. degree in Digital Enterprise Research Institute, from National University of Ireland, Galway, Ireland, in 2010. Until March 2012, he was a Specially Assigned Researcher in Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, Japan. He is a member of IEEE and IEEE ComSoc.

Wireless Spectrum

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The EAI Transactions on Wireless Spectrum (TWS) is a scholarly archival journal committed to the timely publication of high-quality manuscripts on advancing the science and engineering of wireless radio spectrum. TWS seeks the state-of-the-art research on both theoretical contributions (including new models, architectures, protocols, tools, concepts, and analyses) and practical contributions (including new techniques, prototypes, deployment, system experiments, and new applications). All submissions will go through a rigorous peer-review process.

The general scope of the journal includes, but is not limited to, the following topics:

• Spectrum sensing algorithm and white space modeling
• Spectrum sharing architecture and mechanism
• Spectrum-efficient design
• Dynamic spectrum management
• Spectrum pricing, auction and trading
• Game theory for dynamic spectrum access
• Spectrum mobility control
• Reconfigurable wireless platforms
• Medium access control design for cognitive radio networks
• Spectrum agile and adaptive routing
• Security of wireless systems in the context of spectrum sharing
• Interference analysis, measurements and statistical models of spectrum usage
• Coexistence with legacy wireless systems
• Novel radio architectures and antennas
• Simulation tools, testbeds, hardware and software prototypes
• Regulation and standardization


Min Song, Michigan Technological University, USA

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