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RISS 인기검색어
- 검색키워드
- 저자 : Dario Amaya (검색결과 3 건)
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Prediction of Solar Global Radiation in Bogotá Colombia Based on Mathematical Models
Nicolas Marrugo,Dario Amaya 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.12
Nowadays, sub developed countries are presenting a growing tendency of technological implementation based on renewable energy. For which is very common to make meteorological factors predictions, to guarantee a better performance in accord to the climate variability. With this work the validation of the global solar radiation predicting models involving geographic and / or meteorological factors for the city of Bogota DC is made. This validation is based on the comparison of the results from the models with the experimental data and NASA, IDEAM, SWERA, METEONORM, CAR data bases. The results obtained from this work identify the error of the used models, defining the most appropriate one to predict the global solar radiation including the location and weather of the northern area of Bogota.
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Pre-emphasis, Windowing and Spectral Estimation of Silent Speech Signals Using Embedded Systems
Leonardo A. Góngora,Dario Amaya,Olga L. Ramos 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.10
The feature extraction process is the fundamental stage in the development of speech processing systems. In this paper is described the methodology and implementation of an embedded algorithm for extracting characteristic information from silent speech signals. The classical approach based on frequency representations of the signals is followed as methodology for this work. First, the acquisition stage of the silent speech signals is performed using a Non-Audible Murmur microphone and the STM32F4Discovery evaluation board. Then, the digitalized signal is filtered, segmented and normalized using the pre-emphasis and windowing steps. The magnitude spectrogram is calculated from the pre-processed signal using the Fast Fourier Transform (FFT), to finally estimate characteristic data from de silent speech signal. As result of this process, the signal characteristic parameters, defined in the frequency domain are obtained and used as elements at later stages of pattern recognition, in order to build systems of Automatic Speech Recognition (ASR), Speech Coding, Speaker Recognition, among other applications.
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Virtual Laboratory of Bottling Process with Temperature Control in an Autoclave
Jefry Anderson Mora,Dario Amaya 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.9
Technological advances in the area of virtual laboratories in recent years, have made possible the implementation of industrial processes in virtual environments for different purposes, such as monitoring and control of these processes, and as a didactic aid in the education field at professional level. This development offers the capability to navigate and control a graphical environment of a bottling process in the brewery industry. As well as being accessible from any virtual platform with internet access.
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