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Urban sensing where mobile users continuously gather, process, and share location-sensitive sensor data (e.g., street images, road condition, traffic flow) is emerging as a new network paradigm of sensor information sharing in urban environments. The key enablers are the smart phones (e.g., iPhones and Android phones) equipped with onboard sensors (e.g.,(More)
A component revolution is underway, bringing developers improved productivity and opportunities for code reuse. However, whereas existing tools work incredibly well on the desktop or for client-server structured systems, support for other styles of distributed applications has lagged. In this paper, we propose a new programming paradigm and a platform, in(More)
Although mobile health monitoring where mobile sensors continuously gather, process, and update sensor readings (e.g. vital signals) from patient’s sensors is emerging, little effort has been investigated in an energy-efficient management of sensor information gathering and processing. Mobile health monitoring with the focus of energy consumption may(More)
Although mobile health monitoring where mobile sensors continuously gather, process, and update sensor readings (e.g. vital signals) from patient's sensors is emerging, little effort has been investigated in an energy-efficient management of sensor information gathering and processing. Mobile health monitoring with the focus of energy consumption may(More)
This project outlines the strategy adopted for establishing two kinds of communications; one for wireless communication between a mobile Robot and a remote Base Station, another for serial communication between a remote Base Station and a GUI Application, PC. TekBot is a low cost mobile Robot built by Oregon State University which in its current version(More)
This paper addresses the energy attacks towards wireless systems, where energy is the most critical constraint to lifetime and reliability. We for the first time propose a hardware-based energy attack, namely energy hardware Trojans (HTs), which can be well hidden in the wireless systems and trigger ultra-high energy increases at runtime. Then, we develop a(More)
Although vehicular sensing where mobile users in vehicles continuously gather, process, and share location-sensitive and context-sensitive sensor data (e.g., street images, road condition, traffic flow) is emerging, little effort has been investigated in a model-based energy-efficient network paradigm of sensor information sharing in vehicular environments.(More)
Recently advances in ASR and big data technologies drive more personalized services in many areas of services. A speaker adaptation is one good example which requires huge computation cost in creating a personalized acoustic model and corresponding language model over hundreds millions of Samsung product users. We propose a personalized and scalable ASR(More)
We observe that the recent advances in big data computing have empowered model-based services such as speech recognition, face recognition, context-aware service, and many other services. Various sources of user's logs can be utilized in remodeling or adapting existing models to improve the quality of service. We propose a system that can support(More)