The purpose of this paper is to analyse the possibility of implementing multiprotocol and multifrequency wireless Building Management Systems (BMSs) for smart home environments by using Software Defined Radio (SDR) respectively Cognitive Radio (CR) technologies. BMSs by heaving implemented these technologies or some parts of them, could provide a high level of interoperability between wireless ...

For efficient wide area surveillance, smart cameras should provide large observed data and many intelligent analysis functions. In order to extend the surveillance area and overcome occlusion, integration of data from multiple cameras and post analysis of it are required. The surveillance data includes low level multimedia data, recognized feature data, event alarms and others. Integration of t...

Single molecule studies have expanded rapidly over the past decade and have the ability to provide an unprecedented level of understanding of biological systems. A common challenge upon introduction of novel, data-rich approaches is the management, processing, and analysis of the complex data sets that are generated. We provide a standardized approach for analyzing these data in the freely avai...

With the development of Internet of things (IoT), there are many smart city projects for improving urban services recent years. Community is a basic subunit of a city, smart community involves those important affairs which most directly related to unban services in a smart city overall planning. Based on the dualism of information architecture and business model by Kuk and Janssen (2011), the s...

Recent developments in recruitment processes have demonstrated that job applicants are increasingly using online Smart CVs instead of traditional approaches like hardcopy or emailing CVs. This study aims at examining perceived importance university undergraduate students of Hong Kong place or put on portfolios of Smart CVs, such as internship experience, exchange experience, scholarships & awar...

One of the main challenges for activity recognition systems is that there are numerous sensors which are likely to move or exhibit failures due to hardware degradation, inaccurate readings, and environmental changes. In this paper, we propose a Simultaneous Multi-classifier Activity Recognition Technique (SMART) that uses application-level semantics to detect sensor node failures and improve th...

Smart Dust is a set of a vast number of ultra-small fully autonomous computing and communication devices, with very restricted energy and computing capabilities, that co-operate to quickly and efficiently accomplish a large sensing task. Smart Dust can be very useful in practice, i.e., in the local detection of a remote crucial event and the propagation of data reporting its realization. In thi...