The ability to monitor or detect distributed physical stimuli as a means of alarming someone of danger or studying the behavior of nature has been of signiicant interest to the security community as well as the scientiic community. The advances in measurement devices have reduced cost to the point where it is now viable to develop large-scale distributed sensing systems. Similar to the problems...

This study designed a radio-frequency identification (RFID)-based Internet of Things (IoT) platform to create the core of a smart nest box. At the sensing level, we have deployed RFID-based sensors and egg detection sensors. A low-frequency RFID reader is installed in the bottom of the nest box and a foot ring RFID tag is worn on the leg of individual hens. The RFID-based sensors detect when a ...

The design of a service-oriented architecture for multisensor surveillance in smart homes is presented as an integrated solution enabling automatic deployment, dynamic selection, and composition of sensors. Sensors are implemented as Web-connected devices, with a uniform Web API. RESTdesc is used to describe the sensors and a novel solution is presented to automatically compose Web APIs that ca...

Inexpensive wireless sensing products are dramatically reducing the cost of in-home sensing. However, these sensors have been found to fail often and prohibitive maintenance costs may negate the cost benefits of inexpensive hardware and do-it-yourself installation. In this paper, we describe a new technique called SMART that uses applicationlevel semantics to detect, assess, and adapt to sensor...

Smart Emission is a citizen sensor network using low-cost sensors that enables citizens to gather data about environmental quality, like air quality, noise load, vibrations, light intensities and heat stress. This paper introduces the design and development of the data infrastructure for the Smart Emission initiative and discusses challenges for the future. The Spatial Data Infrastructure (SDI)...

Our daily life will be more attractive when our surroundings will be more intelligent. Most of current researches in ubiquitous computing try to build a smart environment by embedding sensors and computers in our living spaces directly. However, the approach is very expensive to make our environment smart. Our approach uses intelligent daily objects and personal devices to build a smart environ...

Smart homes are sensor-rich environments that contain dynamic sets of interacting components. These components often use competing and closed standards and form a message-based architecture. This complicates the development of applications that require information from disparate sources. It becomes difficult to add new components or to allow components from different applications to interact wi...

Mobile health (mHealth) applications are increasingly seen as cost-effective alternatives for hospital care. In this paper, it is investigated whether a smart phone microphone-based application can replace a more common differential-pressure spirometry sensor. Moreover, we investigate the steps that are needed to implement an application that uses a sensor to mimic another sensor, for which its...

Activity recognition in smart environments is an evolving research problem due to the advancement and proliferation of sensing, monitoring and actuation technologies to make it possible for large scale and real deployment. While activities in smart home are interleaved, complex and volatile; the number of inhabitants in the environment is also dynamic. A key challenge in designing robust smart ...