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Jose Arceo Olague,David Covarrubias Rosales,Jose Luna Rivera 한국전자통신연구원 2006 ETRI Journal Vol.28 No.6
In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-tonoise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiplesource scenarios.
( Engracia Arceo ),( Genevieve Dizon ),( Michael Dizon ),( James Ryan Mendoza ),( Raphael Enrique Tiongco ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background/Aim With the Philippines’ experience on vaccine hesitancy due to the Dengvaxia controversy, recent measles outbreak, reappearance of polio cases, and the surging cases of COVID-19 infection, the study aimed to determine the potential acceptability of COVID-19 vaccination in the country and understand its attributes using the Diffusion of Innovation Theory. Subject and Methods The cross-sectional study included 327 respondents recruited for four weeks through various social media platforms. Participants were requested to answer a self-administered online questionnaire, and Results were analyzed using SPSS ver. 20 software. Results The majority of respondents belong to age group 21-30 years old (46.2%), mostly female (65.4%), relatively healthy (86.2%), college graduate (37.6%), and currently unemployed (50.8%). While the majority have the intention to get vaccinated against COVID-19 (70.0%), only 16.8% are innovators and belong to the age group 21-30 years old (p value = 0.03), male (p value <0.001), and those who are employed (p value= 0.01). Pearson's Chi-Square association further revealed that there more females who agree to get vaccinated (p value <0.001). Relative advantage (p value <0.001), compatibility (p value <0.001), observability (p value <0.001), and perceived risk (p value <0.001) are significantly associated with the intention for COVID-19 vaccination and adopter category. Conclusion Findings prove that the attributes of Diffusion of Innovation are predictors for the acceptability of COVID-19 vaccination and timing of adoption of the innovation. Strategies that promote trust in the government, information transparency, and better information dissemination on the benefits and safety of vaccination can motivate more Filipinos to adopt the innovation.
A Walk through Nightingale's New Path (Experiences of Nursing Students Regarding the New Curriculum)
Roderick R. Ortega,Christian james A. Abarientos,Guillermo D. Arceo,Ralph T. Dolteo,Enrico Raphael R. Igama,Bien Mart B. Peduca,Alouna Feliz L. Ayaquil,Feebelyn T. Baliqued,Cesaria Esperanza A. Boagin 한국간호과학회 2011 한국간호과학회 학술대회 Vol.2011 No.10