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We proposed a portable online Raman detection system with all fiber components, by inserting two large-diameter optical fibers respectively into each end of the inner metal-coated capillary for Raman excitation and signal collection simultaneously. The all fiber structure not only could enhance the interaction length between the excitation beam and the detecting material, but also provide a very effective...
In this paper, a new classification method is proposed to distinguish between normal and adventitious lung sounds. Firstly, using a dual channel electronical stethoscope, the active noise control (ANC) approach is employed to enhance the lung sounds which are subject to noise contamination in practical environment. Secondly, hidden Markov model (HMM) is utilized to characterize normal or adventitious...
Lung sound (LS) offers an effective way to detect and discriminate the respiratory disease. However, in practical environments an LS record is subject to serious noise contamination which may be addressed by adaptive noise cancellation (ANC). A least mean square (LMS) algorithm based ANC method is presented by this paper for signal enhancement of LS under practical noisy environment. Based on the...
A Hall sensor is widely used in automotive and industrial applications. However, the design of Hall sensor on silicon faces the challenges of temperature drifting and DC offset. This paper presents a Hall sensor microsystem with continuous sensitivity auto-calibration and offset voltage compensation, which do not disturb the sensor's normal operation. It has been shown that the offset of the Hall...
A Hokkien isolated word recognition system has been implemented on the Spartan-6 XC6SLX45 FPGA hard-core in this paper. Firstly, an efficient method using adaptive double threshold is employed to execute the voice available detection. Secondly, the 24-th order cepstral analysis of static MFCC and differential MFCC is used to extract speech signal features. Finally Dynamic Time Warping (DTW) is utilized...
This paper investigates real-time road detection for an unmanned ground vehicle (UGV) to navigate in a campus environment. A novel vision system with two monocular cameras at different heights and angles is utilized to accomplish both road region detection and direction estimation tasks simultaneously. An Adaboost-based classifier is used in the road region detection in order to handle the road surface's...
With the development of network infrastructure and grid technology, a large quantity of file resources are required to be accessed and shared especially in scientific area. However the heterogeneous characteristic of these file resources brings a big challenge to programmer. We have designed and implemented the File Resource Broker (FRB), a light-weight and easy-to-use system for integrating heterogeneous...
Horde is a general programming framework for writing parallel applications in clusters. A computing task is modeled as a graph in Horde. Each sub-task maps to one vertex and data channels map to edges in the graph. Programming with Horde is very simple by writing sequential code for vertexes and adding edges to link vertexes. Horde can tolerant transient fault and provide support to write code for...
Data is becoming more and more important in the current computing environment and enterprise application. In the grid, many systems and middleware aim to hide the heterogeneity of the data resources and to provide a unified way to access them. However, there are a few systems focusing on data integration which means combining structured and unstructured data residing at different data resources and...
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