Nowadays, consumers can estimate the condition of packaged foods only by checking expiration date on label. However, this approach is inefficient when it comes to assessing actual edibility fresh products, since events that accelerate onset degradation phenomena, such as a rise in temperature, cannot be continuously assessed. In context, detection different parameter, low concentration amines, ...

In this paper, we propose an occupant sensing system using the sensor fusion composing of PIR (pyroelectric infrared) sensor, USD (ultrasonic distance) sensor and IRD (infrared distance) sensor for the smart airbag. These sensors are used to detect the position and body classification of occupants. By mounting these sensors within vehicles jig, the proposed system is experimentally evaluated in...

A methodology for the predictive modeling of smart structures with in-situ sensing capability is presented and discussed. First, the smart structures concept is briefly reviewed. Then, self-sensing smart structures with in-situ sensing capabilities are introduced. Focus is placed on active sensing methods using ultrasonic guided waves in thin-wall structures. The challenges of modeling ultrason...

This paper deals with a recent design of event-driven observer-based smart sensors for output feedback control of linear systems. We re-design the triggering mechanism proposed in a previously reported system with the implementation of self-sampling data smart sensors; as a result, we improve its performance. Our approach is theoretically supported by using Lyapunov theory and numerically evide...

Many of the services a smart city can provide to its citizens rely on the ability of its infrastructure to collect and process in real time vast amounts of continuous data that sensors deployed through the city produce. In this paper we present the server infrastructure we have designed in the context of the HERMES project to collect the data from sensors and aggregate it in streams for their u...

Smart sensors densely distributed over structures can provide rich information for structural monitoring using their computational and wireless communication capabilities. One key issue in such monitoring is data aggregation. The sensors are typically sampled at high frequencies, producing large amounts of data; limited network resources (e.g., battery power, storage space, bandwidth, etc.) mak...

Demographic and epidemiologic transitions in Europe have brought a new health care paradigm where life expectancy is increasing as well as the need for long-term care. To meet the resulting challenge, European healthcare systems need to take full advantage of new opportunities offered by technical advancements in ICT. The RADIO project explores a novel approach to user acceptance and unobtrusiv...

To create applications for smart environments we can select from a huge variety of sensors that measure environmental parameters or detect activities of different actors within the premises. Capacitive proximity sensors use weak electric fields to recognize conductive objects, such as the human body. They can be unobtrusively applied or even provide information when hidden from view. In the pas...