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Adao, Davin Edric V.,Herrera, Charles Michael T.,Galarion, Luiza H.,Bolo, Nicole R.,Carlos, Rhodora S.,Carlos, Enrique T.,Carlos, Sixto S.,Rivera, Windell L. The Korean Society of Veterinary Science 2017 大韓獸醫學會誌 Vol.57 No.2
The study of canine vector-borne diseases in the Philippines started in the 1970s but only gained interest in the past decade. Characterization of such diseases in the Philippines remains incomplete, thus, it is necessary to obtain additional information on the prevalence and diversity of canine tick-borne diseases in the country. In this study, blood samples were obtained at two veterinary clinics in Metro Manila, Philippines from 114 dogs suspected of having canine tick-borne pathogens. Polymerase chain reaction (PCR) was performed on whole blood DNA extracts followed by sequencing, and the following pathogens were detected: Hepatozoon (H.) canis (5.26%), Babesia (B.) vogeli (5.26%), Ehrlichia (E.) canis (4.39%), and Anaplasma platys (3.51%). Additionally, a set of multiplex PCR primers were developed to detect H. canis, Babesia spp. (B. canis and B. vogeli), and E. canis in canine blood. Multiplex and conventional single-reaction PCR results for the 114 dog blood samples were similar, except for one H. canis sample. Multiplex PCR is, therefore, a useful tool in screening infected dogs in veterinary clinics. This study's results, together with those of previous studies in the country, show that canine vector-borne pathogens are an emerging veterinary concern in the Philippines.
Magpantay, Abraham T.,Adao, Rossana T.,Bombasi, Joferson L.,Lagman, Ace C.,Malasaga, Elisa V.,Ye, Chul-Soo The Korean Society of Remote Sensing 2019 大韓遠隔探査學會誌 Vol.35 No.4
In this paper, we analyze the effect of the representative spectral indices, normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) on classification accuracies of Landsat-8 OLI image.After creating these spectral index images, we propose five methods to select the spectral index images as classification features together with Landsat-8 OLI bands from 1 to 7. From the experiments we observed that when the spectral index image of NDVI or NDWI is used as one of the classification features together with the Landsat-8 OLI bands from 1 to 7, we can obtain higher overall accuracy and kappa coefficient than the method using only Landsat-8 OLI 7 bands. In contrast, the classification method, which selected only NDBI as classification feature together with Landsat-8 OLI 7 bands did not show the improvement in classification accuracies.
Transmission Techniques for Downlink Multi-Antenna MC-CDMA Systems in a Beyond-3G Context
Portier Fabrice,Raos Ivana,Silva Adao,Baudais Jean-Yves,Helard Jean-Francois,Gameiro Atilio,Zazo Santiago The Korea Institute of Information and Commucation 2005 Journal of communications and networks Vol.7 No.2
The combination of multiple antennas and multi-carrier code division multiple-access (MC-CDMA) is a strong candidate for the downlink of the next generation mobile communications. The study of such systems in scenarios that model real-life trans-missions is an additional step towards an optimized achievement. We consider a realistic MIMO channel with two or four transmit antennas and up to two receive antennas, and channel state information (CSI) mismatches. Depending on the mobile terminal (MT) class, its number of antennas or complexity allowed, different data-rates are proposed with turbo-coding and asymptotic spectral efficiencies from 1 to 4.5 bit/s/Hz, using three algorithms developed within the European IST-MATRICE project. These algorithms can be classified according to the degree of CSI at base-station (BS): i) Transmit space-frequency prefiltering based on constrained zero-forcing algorithm with complete CSI at BS; ii) transmit beamforming based on spatial correlation matrix estimation from partial CSI at BS; iii) orthogonal space-time block coding based on Alamouti scheme without CSI at BS. All presented schemes require a reasonable complexity at MT, and are compatible with a single-antenna receiver. A choice between these algorithms is proposed in order to significantly improve the performance of MC-CDMA and to cover the different environments considered for the next generation cellular systems. For beyond-3G, we propose prefiltering for indoor and pedestrian microcell environments, beamforming for suburban macrocells including high-speed train, and space-time coding for urban conditions with moderate to high speeds.
Abraham T. Magpantay,Rossana T. Adao,Joferson L. Bombasi,Ace C. Lagman,Elisa V. Malasaga,예철수 대한원격탐사학회 2019 大韓遠隔探査學會誌 Vol.35 No.4
In this paper, we analyze the effect of the representative spectral indices, normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) on classification accuracies of Landsat-8 OLI image. After creating these spectral index images, we propose five methods to select the spectral index images as classification features together with Landsat-8 OLI bands from 1 to 7. From the experiments we observed that when the spectral index image of NDVI or NDWI is used as one of the classification features together with the Landsat-8 OLI bands from 1 to 7, we can obtain higher overall accuracy and kappa coefficient than the method using only Landsat-8 OLI 7 bands. In contrast, the classification method, which selected only NDBI as classification feature together with Landsat-8 OLI 7 bands did not show the improvement in classification accuracies.