• The Journal of the Acoustical Society of Korea
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• v.37 no.1
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• pp.12-20
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• 2018

Efforts have been made to reconstruct low-resolution underwater images to high-resolution ones by using the image SR (Super-Resolution) method, all to improve efficiency when acquiring side-scan sonar images. As side-scan sonar images are similar with the optical images with respect to exploiting 2-dimensional signals, conventional image restoration methods for optical images can be considered as a solution. One of the most typical super-resolution methods for optical image is a sparse coding and there are studies for verifying applicability of sparse coding method for underwater images by analyzing sparsity of underwater images. Sparse coding is a method that obtains recovered signal from input signal by linear combination of dictionary and sparse coefficients. However, it requires huge computational load to accurately estimate sparse coefficients. In this study, a sparse coding based underwater image super-resolution method is applied while a selective reconstruction method for object region is suggested to reduce the processing time. For this method, this paper proposes an edge detection and object and non object region classification method for underwater images and combine it with sparse coding based image super-resolution method. Effectiveness of the proposed method is verified by reducing the processing time for image reconstruction over 32 % while preserving same level of PSNR (Peak Signal-to-Noise Ratio) compared with conventional method.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.775-784
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• 2022

In this study, to determine the optimal order of the full-logged I-D-F polynomial equation, which is mainly used to calculate the probable rainfall over a temporal rainfall duration, the probable rainfall was calculated and the regression coefficients of the full-logged I-D-F polynomial equation was estimated. The optimal variable of the polynomial equation for each station was selected using a stepwise selection method, and statistical significance tests were performed through ANOVA. Using these results, the statistically appropriately calculated rainfall intensity equation for each station was presented. As a result of analyzing the variable selection outputs of the full-logged I-D-F polynomial equation at 9 stations in Gyeongbuk, the 1^st to 3^rd order equations at 6 stations and the incomplete 3^rd order at 1 station were determined as the optimal equations. Since the 1^st order equation is similar to the Sherman type equation and the 2^nd order one is similar to the general type equation, it was presented as a unified form of rainfall intensity equation for convenience of use by increasing the number of independent variables. Therefore, it is judged that there is no statistical problem in considering only the 3^rd order polynomial regression equation for the full-logged I-D-F.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.11a
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• pp.101-113
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• 2004

본 연구는 기술혁신파급경로를 결정하는 국가 간 무역역할에 대한 실증적인 분석을 목적으로 한다 이 연구목적을 위하여, 최근 자료인 1980년부터 2003년까지 15개 OECD국가를 대상으로 자국의 기술혁신을 결정하는 중요한 변수로 알려진 자국 R&D축적 및 무역대상국의 R&D축적자료를 구축하였으며, 이를 무역지수인 쌍방간에 수출 및 수입량을 경제규모로 나눈 가중지수를 이용하여 유입된 R&D축적량을 구축하였다. 또한 대상변수들의 기술혁신파급역할에 대하여 최근 논의되고 있는 비정상적 패널기법을 이용하여 분석하였다. 최근 제안되고 있는 비정상적 패널기법을 이용하여 국제 간에 기술혁신파급경로를 분석한 결과를 간단하게 요약하면, 다음과 같다. 첫째, 분석대상변수들은 비정상성을 갖는 것으로 나타났다. 둘째, 그러나 장기적으로 분석대상변수들이 서로 균형상태를 나타내는 공적분관계에 있음을 알 수 있었다. 셋째, 국가 간에 기술혁신파급경로의 방향과 정도를 파악하기 위하여 패널 공적분계수를 추정하였으나, 설정함수형태에 따라서 여러 가지 상반된 실증결과가 나타났다. 따라서 기존 연구Coe et al., 1995, Keller, 1998, Kao, et al., 1999 그리고 Funk, 2001]의 분석결과 및 그 시사점들이 서로 다른 이유는 분석대상변수들의 선택차이뿐만 아니라, 기술혁신경로에 대한 설정함수형태에 따라서 서로 다른 분석결과가 나타날 수 있는 가능성을 보여준다. 본 연구에서 나타난 분석결과의 시사점을 보면, 국가 간에 기술혁신파급경로분석은 기술혁신파급을 결정하는 매개변수선정도 중요하지만, 결정된 설명변수들 사이에 어떤 기술혁신파급에 관한 연관관계가 존재하는지에 대한 실증분석 즉 파급경로분석도 매우 중요함을 보여준다. 이러한 파급경로분석에는 기존의 선형가정뿐만 아니라 비선형가정을 이용한 기술파급경로분석을 통한 시사점제안이 요구된다.관적인 시스템을 제공하는 것이다.가 생성된다. $M_{C}$에 CaC $l_2$를 첨가한 경우 $M_{C}$는 완전히 $M_{Cl}$ 로 전이를 하였다. $M_{Cl}$ 에 CaC $l_2$를 첨가하였을 경우에는 아무런 수화물의 변화는 발생하지 않았다. 따라서 CaS $O_4$.2$H_2O$를 CaC $O_3$및 CaC $l_2$와 반응시켰을 때의 AFm상의 안정성 순서는 $M_{S}$ < $M_{C}$< $M_{Cl}$ 로 된다.phy. Finally, Regional Development and Regional Environmental Problems were highly correlated with accommodators.젼 공정을 거쳐 제조된다는 점을 고려할 때 이용가능한 에너지 함량계산에 직접 활용될 수는 없을 것이다.총단백질 및 AST에서 시간경과에 따른 삼투압 조절 능력에 문제가 있는 것으로 보여진다.c}C$에서 5시간 가열조리 후 잔존율은 각각 84.7% 및 73.3%였고, 질소가스 통기하에서는 잔존율이 88.9% 및 81.8%로 더욱 안정하였다.8% 및 12.44%, 201일 이상의 경우 13.17% 및 11.30%로 201일 이상의 유기의 경우에만 대조구와 삭제 구간에 유의적인(p<0.05) 차이를 나타내었다.는 담수(淡水)에서 10%o의 해수(海水)로 이주된지 14일(日) 이후에 신장(腎臟)에서 수축된 것으로 나타났다. 30%o의 해수(海水)에 적응(適應)된 틸라피아의 평균 신사구체(腎絲球體)의 면적은 담수(淡水)에 적응된 개체의 면적보다 유의성

• Analytical Science and Technology
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• v.15 no.5
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• pp.459-465
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• 2002

This study was performed to identify the proper analytical conditions of endotoxins regarding optical density in the workplace where metalworking fluids are used. This study found that "onset time method" was more accurate than "time to $V_{max}$ method". Reproducibility and accuracy analyzed by "onset time method" was greatly higher than the "time to $V_{max}$". The optical density of "0.03" was the most appropriate analytical condition among "onset time method". In this analytical condition, linearity of 0.998 was obtained and recovery rate ranged from 88% to 105% at the endotoxin concentrations below 5 EU/mL. No significant difference of endotoxins was observed between the optical densities of "0.03" and "0.05". However, correlation coefficients were different with statistical significance (p<0.01). This study confirmed that either the optical densities "0.03" or "0.05" should be used to analyze endotoxin. Of these optical density values, OD with correlation coefficient higher than 0.98 should be used to analyze endotoxin in environmental samples.

• 한국노년학
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• v.32 no.4
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• pp.1101-1118
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• 2012

The purpose of this study is to examine which factors determine self-rated health(SRH) among Korean elderly focusing on gender differences. To achieve this purpose, it uses the Hallym Longitudinal Study of Aging, wave 4 in 2009. Participants aged 65 and over from wave 4 were selected(N=986, male 407, female 579). From wave 4, all variables were selected except for respondents' education which was from wave1. In analyses, $x^2$ or t-test were conducted to examine whether independent variables significantly differ by SRH. Then, since a dependent variable consisted of two categories-being healthy or not being healthy, logistic regressions were run. What makes gender differences in the link of independent variables to SRH were 75-84 age group, education, and IADLs. For females, 75-84 age group rated their health as worse compared to 65-74 age group, but this age group did not have significant effect on SRH for males. Females graduating from junior high school were more likely to higher rate their health compared to their counterparts. However, education was not significant for males. Instrumental activities of daily living(IADLs) is one of variables affecting SRH by making gender differences. Female having problems with IADLs were more likely to be significantly negatively rate their health compared to males. Through focusing on age, education, IADLs making gender difference in evaluating health, governments needs to support males and females differently.

• The Journal of the Acoustical Society of Korea
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• v.40 no.6
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• pp.649-659
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• 2021

Wall absorption treatment effectively reduces reverberation, but requires a large area for a live room and each wall absorption affects speech intelligibility differently. In this study, we try to find the most effective wall for the absorption treatment using the beamforming array microphone in terms of speech intelligibility. The absorption importance factor is defined by using the collision number of reflected sounds on each wall. It allows estimating how much the speech signal will be enhanced by the absorption treatment. A cuboid room with a size of 107 m³ and a reverberation time of 1.1 s is selected for the simulation. When a Helmholtz-type absorption is treated on the wall with the most significant importance factor, the modified clarity for 500 and 1k Hz is improved by 5.1 dB and 4.8 dB respectively, and the speech transmission index is enhanced by 0.06. The difference in results between the proposed method and commercial simulation code is less than a Just-Noticeable Difference (JND). The absorption treatment on the wall with the most significant importance factor shows improvement greater than the wall with the largest area, and its difference is larger than a JND value.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.11
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• pp.445-452
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• 2017

Electric pole is a supporting beam used for power transmission/distribution which accelerometer are used for measuring a external force. The meteorological condition has various effects on the external forces of electric pole. One of them is the elasticity change of the aerial wire. It is very important to perform modelling. The acceleration sensor is converted into a pitch and a roll angle. The meteorological condition has a high correlation between variables, and selecting significant explanatory variables for modeling may result in the problem of over-fitting. We constructed high deviance explained model considering multicollinearity using the Generalized Additive Model which is one of the machine learning methods. As a result of the Variation Inflation Factor Test, we selected and fitted the significant variable as temperature, precipitation, wind speed, wind direction, air pressure, dewpoint, hours of daylight and cloud cover. It was noted that the Hours of daylight, cloud cover and air pressure has high explained value in explonatory variable. The average coefficient of determination (R-Squared) of the Generalized Additive Model was 0.69. The constructed model can help to predict the influence on the external forces of electric pole, and contribute to the purpose of securing safety on utility pole.

• Analytical Science and Technology
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• v.29 no.5
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• pp.234-241
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• 2016

The approach presented in this article refers to the bioanalytical method validation for the detection and quantitative determination of arsenic species including arsenite (As(III)), arsenate (As(V)), dimethylarsinic acid (DMA) and monomethylarsonic acid (MMA) in dog plasma by high-performance liquid chromatography inductively coupled plasma mass spectrometry (HPLC-ICP/MS). The arsenic species were separated using an agilent As speciation column by a mobile phase of 2 mM sodium phosphate monobasic, 0.2 mM ethylenediaminetetraacetic acid disodium salt dehydrate, 10 mM sodium acetate, 3 mM sodium nitrate and 1 % ethyl alcohol at pH 11 (adjusted with 1M NaOH). The method validation experiment was obtained selectivity, linearity, accuracy, precision, matrix effect, recovery, system suitability, dilution integrity and various stabilities. All calibration curves showed good linearity (R²>0.999) within test ranges. The lower limit of quantitation (LLOQ) was 5 ng/mL for As(III), As(V) and DMA, and 20 ng/mL for MMA. The system suitability and dilution values were within 6.5 % and 7.7 %. Subsequently, the developed and validated HPLC-ICP/MS method was also successfully applied to determine the arsenic speciation in dog plasma samples, and the recoveries for the spiked samples were in the range of 91.5–102.2 %. Therefore, this method could be applied to the evaluation of arsenic exposure, health effect assessment and other bio-monitoring studies in biological samples.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.82-93
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• 2022

The food service industry is a major driver of global sustainable food consumption. By understanding food consumption behavior, restaurant managers can forecast demands and reduce pre-consumer food waste. This study investigates the relationship between influencing factors and the number of customers at restaurants and cafés. These factors are weather-related factors, including rain and temperature, and school-related factors, including exams and the day of the week. Based on these four factors, 24 possible combinations were created. Three representtive days were chosen for each weekday combination. Besides, one representative day was chosen for each weekend combination. In total, 48 days were sampled throughout the year. Customer data were collected from six restaurants and cafes on a Korean university campus. Conjoint analysis was used to determine the relative importance of each variable to customer numbers. Following that, utility scores were standardized and mapped to determine the best condition when the number of customers was at its peak. In addition, each store's sales were compared using Pearson's Correlation Coefficient. The findings support that temperature and rain influences are correlated with the number of customers. Furthermore, we discovered that temperature was far more significant than rain in determining the number of customers. The paper discusses the implications of weather to forecast food and beverage demand and predict meal choices.

• Analytical Science and Technology
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• v.20 no.4
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• pp.347-354
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• 2007

A simple and rapid high-performance liquid chromatography assay for the determination of residual novobiocin levels in bovine, porcine, chicken, flatfish and japanese eel muscle has been developed and validated. The separation condition for HPLC/UV was optimized with phenyl hexyl ($4.6{\times}150mm$, $5{\mu}m$) column with 10 mM monobasic sodium phosphate buffer (pH 2.5)/acetonitrile (50/50, v/v) as the mobile phase at a flow rate of 1.0 mL/min and detection wavelength was set at 254 nm. Residues were extracted from tissue by blending with methanol and lipid materials were removed with n-hexane. Then, the methanol extract was evaporated to dryness under a nitrogen stream, reconstituted in the mobile phase. Aliquot of the organic extract was decanted and filtered through $0.45{\mu}m$ syringe filter. The $20{\mu}L$ of the resulting solution was injected into the HPLC system. The calibration ranges were $0.5{\sim}5{\mu}g/g$ and calibration curves were linear with coefficients of correlation better than 0.95. The limits of quantification were $0.5{\mu}g/g$ for all muscles. The recoveries of bovine, porcine, chicken, flatfish and japaneseel muscles were 99.8%, 102.4%, 91.0%, 104.0% and 93.0%, respectively. The procedures were validated according to the CODEX guideline, determining specificity, linearity, accuracy, precision, quantitation limit and recovery.