International Conference on Identification, Information & Knowledge in the Internet of Things (IIKI 2015)
When : 2015-10-22
Where : China
Submission Deadline : 2015-08-10
Categories : Computer Science & Information Technology , Informatics
International Conference on Identification, Information & Knowledge in the Internet of Things
(IIKI 2015)
Oct 22-23, 2015
Beijing, China
Call For Papers
The Internet of Things (IoT) brings traditional Internet industry and society with new trends and promising technologies. Realizing the full potential of the Internet of Things requires solving serious technical and business challenges, such as identification of things, organization, integration and management of big data, and the effective use of knowledge-based decision systems. These challenges, and more, are the focus for the International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI).
Topics
- Engineering of Big Data applications for smart cities
- Parallel and distributed processing approaches in cloud computing
- New algorithms for Big Data processing, and data mining for Big Data intelligence
- Security and privacy in cloud computing and big data processing
- Knowledge engineering for Big Data processing and cloud computing
- Context awareness for mobile cloud/pervasive cloud, and Big Data processing
- Trust in wireless and mobile networks
- Intrusion prevention and detection in wireless and mobile networks
- Security and privacy in wireless communications and mobile computing
- Security and privacy in emerging applications
- Control, optimization, signal processing, information theory
- Machine learning, verification, data mining,
- Sensor networks, embedded systems, human in the loop systems, social networks,
- Mobile computing, participatory sensing, crowd-sourcing, cloud computing
- Data analysis intelligence for IIoT
- Data fusion for integrating different aspects of industries
- IoT with innovative computing technologies for industrial applications
- Semantic techniques for IIoT
- Cloud computing technologies for IoT applications
- In-network programing for the IIoT
- Routing, dissemination and caching in mobile opportunistic networks
- Theoretical Analysis for mobile opportunistic networks
- Security, trust, privacy in mobile opportunistic networks
- Cooperation for opportunistic computing
- Applications for mobile opportunistic networks
- Advanced data mining technologies for E-Health & Mobile Health
- Machine learning/Deep learning applications in E-Health & Mobile Health
- Smart phone/wearable device based human motion recognition
- Ubiquitous computing in personal health monitoring/architectural structure health monitoring
- Emerging wireless/mobile applications in E-Health & Mobile Health
- Advanced wireless telemedicine and e-health services
TRACK 1: KNOWLEDGE ENGINEERING, BIG DATA, AND CLOUD COMPUTING
The Internet of Things, and of services and people, coupled with social networks means a huge increase in data. Analysing Big Data will become a key focus of research, competition, and innovation in the IoT. Processing of Big Data will in the cloud, and data mining will use background knowledge of societal, cultural, and personal trends. Knowledge engineering for better data mining, new approaches to cloud computing for big data, and new paradigms for Big Data processing are key topics. The topics in this track includes but not limited to:
TRACK 2: WIRELESS AND MOBILE SECURITY
In recent years, advances in wireless and mobile technologies have dramatically changed our personal and working lives. Many challenges exist in wireless and mobile applications, particularly, security ensuring and privacy.. The goal of this track is to explore cutting-edge research in this area. Topics include but are not limited to
TRACK 3: FRONTIERS IN CYBER-PHYSICAL SYSTEMS
Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems — just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing.
Work focused on theory, algorithms, implementation and field deployments will be of great interest to the track. Areas of interests include (but not limited to)
TRACK 4: INDUSTRY 4.0 (INDUSTRIAL INTERNET OF THINGS )
With rapid developments of information technologies on communications and computing, Internet-of-Things (IoT) has not only been gaining popularity in our daily life and business but also started stepping into the industries especially for manufacture industry. It is what nowadays is known as the double market and role of the IoT, on the one hand, towards a Consumer Internet of Things (CIOT), and on the other hand, towards an Industrial Internet of Things (IIoT).
This track is focused on the IIoT challenges and solution. IIoT is defining how seamlessly integrate every aspect of the manufacture and then to enable the industry more intelligent, it is the digitalization of the manufacture processes, i.e., the fusion of the operational technology with the information technologies.
TRACK 5：MOBILE OPPORTUNISTIC NETWORKS
Mobile opportunistic networks are delay tolerant networks where mobile carriers communicate with each other via their short-distance and low-cost devices to share data objects among mobile users. Unlike mobile ad hoc networks (MANETs) that require end-to-end communication paths for message exchange, the communications in mobile opportunistic networks take place on the establishment of opportunistic contacts among mobile nodes, without availability of end-to-end message routing paths. Such networks face numerous challenges due to the frequent disruptions and delays, and intermittent connectivity environment. Areas of interest in this track include (but are not limited to)
TRACK 6: USER EXPERIENCE IN THE IOT
As the move from desktop to mobile has focused us on design for everyday lives, so the IoT will place increasing emphasis on sensitive, contextual design for in-the-moment interaction. Our experience of the world will be increasingly mediated by invisible, embedded and hyper interactive digital tools and needs new and radical approaches to understanding and designing the user experience. This track explores new user experience challenges for the IoT.
TRACK 7: EHEALTH & MOBILE HEALTH
“Big data” is endowing the traditional healthcare with mobility, intelligence and convenience, which has given birth to “E-Health & Mobile Health”. In such a mobile health environment, tasks like health monitoring of patients, information exchange between doctors and patients, intelligent diagnosis and information push, etc., can be automatically and rapidly accomplished by analyzing a large number of data collected from various mobile devices. However, such mobile applications face numerous challenges due to the voluminous data and complex procedures. Topics in this track include but are not limited to:
TRACK 8: PHD SYMPOSIUM AND POSTER TRACK
This track is open to PhD Students, at any stage in their studies and in any area of study that relates to the Internet of Things, including technical, social and philosophical studies. Students should submit their problem statement and an account of their progress. Students in early stages of their Ph.D. will benefit from interacting with other Ph.D. students, as well as with members of the event processing research community represented at the conference.