A5076344961- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Interactive and Immersive Displays
- Advanced Database Systems and Queries
- Mobile Crowdsensing and Crowdsourcing
- Energy Efficient Wireless Sensor Networks
- Modular Robots and Swarm Intelligence
- Semantic Web and Ontologies
- Data Quality and Management
- Data Management and Algorithms
- Indoor and Outdoor Localization Technologies
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
- Traffic Prediction and Management Techniques
- Robotics and Automated Systems
- Service-Oriented Architecture and Web Services
- Personal Information Management and User Behavior
- IPv6, Mobility, Handover, Networks, Security
- Mobile Agent-Based Network Management
- Smart Grid Energy Management
- Tactile and Sensory Interactions
- Data Stream Mining Techniques
- Usability and User Interface Design
- Peer-to-Peer Network Technologies
- Web Data Mining and Analysis
Abt Associates (Nepal)
2011
NEC (Germany)
2007-2009
NEC (Japan)
2009
Lancaster University
2002-2006
Due to the rapid development of Internet Things (IoT) and consequently, availability more IoT data sources, mechanisms for searching integrating sources become essential leverage all relevant improving processes services. This paper presents search framework IoTCrawler. The IoTCrawler is not only another framework, it a system systems which connects existing solutions offer interoperability overcome fragmentation. In addition its domain-independent design, features layered approach, offering...
The article discusses two prototypes - an interactive display wall and a targeted advertisement scenario demonstrates the use of context-aware middleware provide insights into important requirements for platforms retail environments.
The ACM DEBS 2017 Grand Challenge is the seventh in a series of challenges which seek to provide common ground and evaluation criteria for competition aimed at both research industrial event-based systems. focus on analysis RDF streaming data generated by digital analogue sensors embedded within manufacturing equipment. aims detection anomalies behavior such This paper describes specifics streams continuous queries that define Challenge. It also benchmarking platform supports testing...
The Internet of Things (IoT) offers an incredible innovation potential for developing smarter applications and services. However, today we see solutions in the development vertical services reflecting what used to be early days Web, leading fragmentation intra-nets Things. To achieve open IoT ecosystem systems platforms, several key enablers are needed effective, adaptive scalable mechanisms exploring discovering resources their data/capabilities. This paper discusses our work EU H2020...
The ACM DEBS 2018 Grand Challenge is the eighth in a series of challenges which seek to provide common ground and evaluation criteria for competition aimed at both research industrial event-based systems. focus on application machine learning spatio-temporal streaming data. goal challenge make naval transportation industry more reliable by providing predictions vessels' destinations arrival times. This paper describes specifics data streams queries that define Challenge. It also benchmarking...
Over the last years, we have witnessed increasing interconnection between physical and digital world. The so called Internet of Things (IoT) is becoming more a reality in application domains like manufacturing, mobile computing, transportation, many others. However, despite promising huge potential, domain smart homes still at its infancy lags behind other fields IoT. A deeper understanding this type techno-human system required to make vision reality. In paper, report findings from three...
In this paper we present a context-management middleware for Next Generation Networks (NGN). Our middleware, called ICE, is based on the concept of Context Sessions. contrast to earlier work in context management, apply NGN design principles management and separate signalling from exchange. We believe that ICE provides an ideal starting point more flexible adaptive large scale information compared existing approaches. order allow easy integration into networks, implemented as service top IP...
In this article, we will highlight how IMS can provide an excellent technological platform to overcome these limitations. We demonstrate that is a suitable for developing highly scalable framework unified access of information stemming from globally distributed and heterogeneous sensor networks. Overall, such facilitate more intelligent, invisible, autonomous applications depend or exploit knowledge about the people, places, things in physical world. first elaborate on concrete challenges...
Founded upon the Internet of Things (IoT), technological landscape Smart Cities brings a wide range operational parameters which pose significant challenges for architectural concerns. Herein we provide unified view on data path issues sensing applications in terms generic capabilities. We touch information granularity and semantic load concerns, discussing escalation detail from raw to event indicators and, ultimately, deductions. Furthermore, discuss customization non-functional...