A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. A...

Intelligent sensors experience security problems very similar to those inherent to other kinds of IT products or systems. The assurance for these products or systems creation methodologies, like Common Criteria (ISO/IEC 15408) can be used to improve the robustness of the sensor systems in high risk environments. The paper presents the background and results of the previous research on patterns-...

Main target of fast care is the development of a real-time capable sensor data analysis framework for intelligent assistive systems in the field of Ambient Assisted Living, eHealth, Tele Rehabilitation, and Tele Care. The aim is to provide a medically valid integrated situation model based on a distributed, ad-hoc connected, energy-efficient sensor infrastructure suitable for daily use. The int...

Field surveillance is one of the most important applications for wireless sensor networks. Many sensors are deployed in a region of concern to detect any potential targets. On the contrary, intelligent target looks for the best path to traverse the sensing field for fear of being detected and leads to defunct surveillance. In this paper, we focus on how an intelligent target traverses the sensi...

To improve the accuracy of real time vehicle surveillance, utilize the advances in wireless sensor networks to develop a magnetic signature and length estimation based vehicle classification methodology with binary proximity magnetic sensor networks and intelligent neuron classifier. In this algorithm, we use the low cost and high sensitive magnetic sensors to measure the magnetic field distort...

In this paper we present a novel approach for achieving energy efficiency in public buildings (especially sensor-enabled offices) based on the application of intelligent complex event processing and semantic technologies. In the nutshell of the approach is an efficient method for realizing the real-time situational awareness that helps in recognizing the situations where a more efficient energy...

T HIS Special Issue contains revised papers originally pre-It attracted 383 participants from 17 countries. Immediately after this conference, in order to report on its success, we (Broggi, Ikeuchi, and Thorpe) decided to have a special issue in this newly created IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, by collecting some of the most important papers presented at the conference...

Our ability to devise safe, reliable multi-sensor systems is critical in an age where sensor platforms are increasingly complex. The difficulties inherent in the design and verification of complex systems necessitates intelligent reconfiguration of sensors and their signal processing tools online. This paper introduces a self-adaptive (i.e. deliberative) approach to flexible model-based image u...

A hybrid intelligent expert system is being developed for the Adaptive Multisensor Integrated Security System (AMISS) to identify threatening patterns of behavior in a nuclear facility 2, 3]. The focus of this paper is the sensor fusion strategy used to create the input to the rule-based and neural network reasoning systems. The sensor fusion components of the AMISS system use a number of data ...

Robot systems for supporting human life are desired recently. For that purpose, the robots need to recognize a human living environment that changes dynamically. However, it is difficult to achieve it only with the sensors carried in a stand-alone robot. Then, the research field on the intelligent environments based on the sensor network has been expanding [Sato], [MacDorman]. The intelligent e...