In this paper, a novel common mode inductor structure is proposed to achieve high power density for the EMI filter. For better utilization of space, planar core is adopted. In this new…
The paper analyses the actions needed to be taken before the sea trials of a wave energy converter. In particular, the mechanical and electrical tests of the complete Power Take-Off are described,…
IrisCode has been used to gather iris data for 430 million people. Because of the huge impact of IrisCode, it is vital that it is completely understood. This paper first studies the…
Multispectral iris recognition uses information from multiple bands of the electromagnetic spectrum to better represent certain physiological characteristics of the iris texture and enhance obtainedrecognition accuracy. This paper addresses the questions of single versus cross-spectral performance…
Event-driven metering is an emergent paradigm enabling significant data compression enhancement with respect to the conventional time domain metering techniques. This paper first discusses the representation of energy-based data in…
This paper presents an energy efficient intrahospital telemedicine scenario for multi-patient cardiac monitoring using ZigBee network. A telemedicine scenario is proposed in which Electrocardiogram (ECG) signals of patients are acquired through ECG…
Depth is an essential characteristic of flood inundation in hydro-ecological research. Several studies have tried to estimate inundation depth from remotely sensed image and digital elevation model (DEM) data by applying a series of…
Laser-based technological approaches and methods suitable for volumetric optical recording of digitalinformation and creation of images by formation of different kinds of micromarks in the bulk of materials, transparent for a selected laser…
The feature selection algorithm can select the optimal feature subset from lots of music features about music genre classification, removing the irrelevant and redundant features to reduce the number of…
Emotion recognition from sound signals represents an emerging field of recent research. Although many existing works focus on emotion recognition from music, there seems to be a relative scarcity of…