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Eating detection is a critical component in a wearable dietary monitoring device called eButton under our investigation. Once an eating activity is detected, a camera within the device is activated to take pictures of food automatically which is then processed to measure intakes of calories and nutrients. In this paper, we address the eating detection problem using a proximity sensor within the eButton...
The energy efficiency of two escalators of different age was evaluated at a subway station in Helsinki, Finland. For this, the escalators' pedestrian counting data and power consumption data were collected for one week. This was done using an infrared beam pedestrian counting sensor and a power logger, both with automatic data acquisition. The measurement results showed remarkable differences between...
An efficient visible-to-infrared conversion film is made by blending CdTe quantum dots (CdTe QDs) of 12nm diameter in a polyvinylpyrrolidone 360 (PVP 360) polymer matrix cast by water solution. The solid-state photoluminescence quantum efficiency exceeds 10% with emission peak at 810nm. Strong 810 emission is obtained by combining the quantum dot film and a green polyfluorene light-emitting diode...
We describe a method for accurately estimating the topology of sensor networks from time-series data collected from infrared proximity sensors. Our method is a hybrid combining two different methodologies: ant colony optimization (ACO), which is an evolutionary computation algorithm; and an adjacency score, which is a novel statistical measure based on heuristic knowledge. We show that, using actual...
An automated, remote rainfall gauging system is developed to monitor the rainfall in five remote areas from one base station. The automated rain gauge stations (ARGSs) were installed at five selected locations in Sri Lanka. Two replica base stations are going to be installed at the department of meteorology, and national building research organization (NBRO). The base stations and the ARGSs are connected...
One of the major problems in sensor fusion is that sensors frequently provide spurious observations which are difficult to predict and model. The spurious measurements from sensors must be identified and eliminated since their incorporation in the fusion pool might lead to inaccurate estimation. This paper presents a unified sensor fusion strategy based on a modified Bayesian approach that can automatically...
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