• 한국토양비료학회지
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• 제34권5호
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• pp.311-315
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• 2001

토양검정의 적중율을 높이기 위하여 농업과학기술원에서 실시한 10개의 pot시험 결과를 Bray등이 개정한 Mitscherlich-Baule-Spillman식(A)에 넣어 토양질소와 시비질소의 이용계수 $C_2$와 $C_1$을 계산하고, 적정 수량을 생산하는데 소요되는 시비량(x) 산출식(B)을 유도하였다. log(Ymax-Y) = logYmax-$C_1x-C_2b$ (A) Ymax : 최고수량, Y: 무비구 또는 일정량의 시비구 수량 b: 토양의 $NO_3{^-}-N(mg\;kg^{-1})$, x:시비량 log(0.05))=$-C_1x-C_2b$ =-C_1x-C_2b (B) 실제 시비량에 대한 식 B로 계산되는 비료 소요량과 는 유의한 정의 상관 관계를 보였다. 식 A와 B의 $C_1$과 $C_2$값에 관한 정밀한 연구는 토양검정의 실용성을 높일 수 있다.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.314-322
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• 2017

Purpose: This study was conducted to investigate the hot air drying characteristics of squash slices depending on the drying conditions (input air velocity, input air temperature, and sample thickness). Methods: The developed drying system was equipped with a controllable air blower and electric finned heater, drying chamber, and ventilation fan. Squash (summer squash called Korean zucchini) samples were cut into slices of two different thicknesses (5 and 10 mm). These were then dried at two different input air temperatures (60 and $70^{\circ}C$) and air velocities (5 and 7 m/s). Six well-known drying models were tested to describe the experimental drying data. A non-linear regression analysis was applied to determine model constants and statistical indices such as the coefficient of determination ($R^2$), reduced chi-square (${\chi}^2$), and root mean square error (RMSE). In addition, the effective moisture diffusivity ($D_{eff}$) was estimated based on the curve of ln(MR) versus drying time. Results: The results clearly showed that drying time decreased with an increase in input air temperature. Slice thickness also affected the drying time. Air velocity had a greater influence on drying time at $70^{\circ}C$ than at $60^{\circ}C$ for both thicknesses. All drying models accurately described the drying curve of squash slices regardless of slice thickness and drying conditions; the Modified Henderson and Pabis model had the best performance with the highest R2 and the lowest RMSE values. The effective moisture diffusivity ($D_{eff}$) changes, obtained from Fick's diffusion method, were between $1.67{\times}10^{-10}$ and $7.01{\times}10^{-10}m^2/s$. The moisture diffusivity was increased with an increase in input air temperature, velocity, and thickness. Conclusions: The drying time of squash slices varied depending on input temperature, velocity, and thickness of slices. The further study is necessary to figure out optimal drying condition for squash slices with retaining its original quality.

• 한국콘텐츠학회논문지
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• 제16권12호
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• pp.749-760
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• 2016

본 연구는 유아의 인성발달 증진과 노인소외현상 감소를 위한 교육적 사회복지적 방안을 제시하고자 예비보육교사의 경로행동에 미치는 영향을 규명하고자 하였다. 본 연구를 위한 연구 대상자로는 G시와 J도에 소재하는 4개 대학교의 보육교사과정 이수자인 여학생 176명이다. 연구 도구로 사용된 예비보육교사의 경로행동 측정 도구로는 계획된 행동이론을 근거하여 새롭게 변형한 모형에 맞춰 구성된 선행연구[1][2]에서 사용한 척도를 수정 보완하여 사용하였다. 연구설계 내용으로는 태도, 주관적 규범, 지각된 행동통제, 행동의도, 행동 등 계획된 행동이론의 모형에 태도적 신념, 규범적 신념, 통제적 신념 등 현출신념을 포함하였다. 수집된 자료는 SPSS 18.0 for Windows를 사용하여 빈도분석, 회귀분석을 실시하였다. 검증 결과, 외생변수와 내생변수 간에 유의한 인과관계가 있는 것으로 나타나 모든 가설은 지지되었다. 이로써 본 이론의 유용성이 재 입증되었으며, 연구 결과는 유아의 인성발달이라는 교육적 측면과 노인소외현상 감소라는 복지적 측면에서 노력하는 전문가들을 위한 기초자료로 활용될 수 있을 것이다.

• KDI Journal of Economic Policy
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• 제31권1호
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• pp.169-206
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• 2009

본 연구는 1990년대 이후의 한국경제의 성장패턴을 이해하기 위한 노력의 일환이다. 이를 위해, 본 연구에서는 Blanchard and Quah(1989)가 제시한 바와 같이 장기제약식하의 구조적 벡터자기회귀추정법(Structural Vector Auto Regression: SVAR)에 의거하여 우리나라의 경제를 오늘에 이르게 한 다양한 충격들을 식별하고 각각의 상대적 기여도를 구분하고자 하였다. 보다 구체적으로는 Blanchard and Quah의 2-변수 모형과 이를 확장한 3-변수 모형, 그리고 New Keynesian류의 선형모형을 변형시킨 두 개의 모형을 분석하였다. 특히, 후자의 두 모형은 1997년 외환위기 이후 있었던 외환시장체제(고정환율제도에서 변동환율제도)와 통화정책기조(통화총량제에서 물가목표제)의 변화를 반영하도록 구성되었다는 점에서 의의를 갖는다. 이러한 각 모형으로부터의 추정 결과를 충격반응 및 예측오차분해 분석의 형식으로 정리 비교한 결과 다음과 같은 두 가지 공통점을 발견할 수 있었다. 첫째, 경제성장률의 변동은 생산성의 충격에 주로 기인하며, 이와 같은 경향은 2000년대 이후 더 강해진 것으로 보인다. 이는 2000년대 이후 우리 경제의 성장이 잠재성장률과 밀접한 관계를 갖고 있음을 시사한다. 둘째, 2000년대 이후 충격반응의 크기나 지속성이 전반적으로 줄어드는 경향이 있다. 무역의존도가 높은 우리 경제상황에 비추어 2000년대의 전 세계적인 저(低)금리, 저(低)인플레이션 및 견실한 성장세, 그리고 중국경제의 부상이 자본 및 수출 수입 수요의 안정적인 확보를 도모하여 특히 각 부문 충격이 경제에 미치는 영향을 반감시켰을 개연성이 있다. 분석에 사용된 모형과 식별에 사용된 충격의 다양한 조합에도 불구하고 위의 두 가지 패턴은 일관되게 관측되고 있음에 비추어 볼 때, 2000년 이후 우려되고 있는 우리나라의 경제성장률 저하 현상은 잠재성장률 하락에 주로 기인하는 것으로 판단된다.

• Journal of Plant Biotechnology
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• 제42권1호
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• pp.60-70
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• 2015

본 연구의 목적은 적외선 분광스펙트럼 데이터를 이용하여 대두 종자내의 지방산 함량을 동시에 예측할 수 있는지 여부를 조사하기 위한 것이다. 총 153종의 대두(Glycine max Merrill) 종자로부터 적외선 분광스펙트럼 및 지방산의 함량을 기체크로마토그라피 분석을 통하여 확인하였다. 적외선 분광스펙트럼 조사결과 대두는 단백질이나 아미노산의 amide bond region ($1,700{\sim}1,500cm^{-1}$), 핵산이나 인지질의 phosphodiester groups ($1,500{\sim}1,300cm^{-1}$) 그리고 탄수화물 등 다당류의 sugar region ($1,200{\sim}1,000cm^{-1}$)에서 계통별로 큰 차이가 이루어짐을 알 수 있었다. 총 29라인의 대두 계통별 시료로부터 지방산 함량을 조사한 결과 총 지방산의 함량은 건조 시료 0.1 g 당 $185.57{\mu}g$에서 $325.9{\mu}g$으로 계통간에 차이가 있었음을 알 수 있었으며 평균 함량은 $244.48{\mu}g$이었다. PLS regression 분석을 이용하여 총 5개 지방산(팔미틱산, 스테아릭산, 올레익산, 리노레익산 그리고 리노레닉산) 함량 예측 calibration models의 실측 검증 결과, 팔미틱산($R^2=0.8002$), 올레익산($R^2=0.8909$) 그리고 리노레익산($R^2=0.815$)은 회귀분석 상관계수가 0.8 이상으로 정확도 높음을 알 수 있었다. 그러나 스테아릭산($R^2=0.4598$)과 리노레닉산($R^2=0.6868$)의 경우 상관계수가 0.7 이하로 상대적으로 예측정확도가 낮음을 알 수 있었다. 본 연구에서 확립된 기술은 지방산의 조성 변환을 통하여 새로운 대두 품종 개발을 위한 계통선발 과정에서 매우 효율적인 수단으로 활용이 가능할 것으로 사료된다. 더 나아가 본 기술은 대두는 물론 대두 유래 농산물이나 식품의 품질 검증 수단으로 활용이 가능할 것으로 기대된다.

• Asia pacific journal of information systems
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• 제19권2호
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• pp.157-178
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• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.

• Genomics & Informatics
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• 제8권4호
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• pp.206-211
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• 2010

The Fas (TNF receptor superfamily, member 6) (FAS)/FAS ligand (FASLG) interaction plays a central role in the regulation of programmed cell death. FAS and FASLG polymorphisms in promoter regions affect transcriptional activities. To investigate whether FAS and FASLG polymorphisms are associated with the development and clinical phenotypes of stroke, 2 promoter single nucleotide polymorphisms (SNPs) in FAS (rs1800682, -670C/T) and FASLG (rs763110, -844C/T) were selected and genotyped by direct sequencing in 220 stroke patients [107 ischemic stroke (IS), 77 intracerebral hemorrhage (ICH), and 36 subarachnoid hemorrhage (SAH)] and 369 control subjects. For the analysis of clinical symptoms, all stroke patients were divided into 3 clinical phenotypes according to the respective results of the National Institutes of Health Stroke Survey (NIHSS) and the Modified Barthel Index (MBI) and the presence or absence of complex regional pain syndrome (CRPS). The SNPStats, SNPAnalyzer, and Helixtree programs were used to analyze the genetic data. Multiple logistic regression models (codominant, dominant, and recessive) were used to estimate odds ratios (ORs), 95% confidence intervals (CIs), and p-values. The promoter SNP rs1800682 was associated with stroke in the codominant (OR=0.48, 95% CI=0.25-0.94, p=0.04) and dominant models (OR=0.51, 95% CI=0.30-0.87, p=0.011). However, a FASLG SNP (rs763110) was not in Hardy-Weinberg equilibrium (p<0.05). In the analysis of stroke types, rs1800682 was associated with IS in the codominant (OR=0.30, 95% CI=0.12-0.74, p=0.025), dominant (OR=0.44, 95% CI=0.23-0.88, p=0.018), and recessive models (OR=0.45, 95% CI=0.21-0.99, p=0.042). The genotype frequencies of rs1800682 were different between ICH and controls in the dominant model (OR=0.49, 95% CI=0.26-0.94, p=0.031) but not between SAH and controls. In the analysis of clinical symptoms, however, rs1800682 was not related to the 3 clinical phenotypes (NIHSS, MBI, and CRPS). These results suggest that a promoter SNP (rs1800682, -670C/T) in FAS may be associated with the development of stroke in the Korean population.

• 한국콘텐츠학회논문지
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• 제13권12호
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• pp.921-930
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• 2013

노인장기요양보험 도입 이후 노인요양병원은 양적으로 빠르게 증가하였다. 그러나 노인요양병원 이용자의 만족도에 관한 연구는 많이 이루어지지 않았다. 이 연구는 Sheth의 소비가치이론을 우리나라 노인요양병원 환자들의 특성에 맞게 부분적으로 수정하여, 시립노인요양병원과 민간노인요양병원에 입원한 환자들을 대상으로 만족도의 중요한 요소 중 하나인 재이용 의사를 분석하여 노인요양병원 경영전략 수립에 필요한 기초자료를 도출하였다. 서울과 경기지역에 소재하고 있는 시립노인요양병원 2개소와 민간노인요양병원 3개소에서 진료를 받고있는 60세 이상의 입원환자 475명을 조사 대상으로 선정하였다. 구조화된 설문지를 개발하여 2012년 8월 1일부터 2012년 9월 30일 까지 자기 기입방법과 면담 설문방법으로 자료를 수집하였다. 분석방법은 SPSS(version14.0)을 사용하여 요인분석을 통해 범주를 추출하고, 위계적 로지스틱 회귀분석을 시행하였다. 연구결과 소비가치 요인 중에서 기능적 가치인 재활치료의 만족도가 병원을 재이용하도록 하는 가장 강한 요인이었으며, 감정적 가치인 첨단 고급성과 진료서비스의 신뢰성, 건강적 가치인 운명적인 건강관의 순으로 유의한 영향을 미치는 것으로 추정되었다. 따라서, 노인요양병원의 경영에 있어서 이러한 연구결과에 기초하여 병원 이용 만족도를 향상시킬 수 있는 재활치료 프로그램의 향상 및 시설, 장비의 개선, 직원의 친절도 향상 등의 전략을 수립하고, 병원 재이용 의사를 제고하기 위한 경영 전략을 수립하는 것이 필요하다.

• 가정과삶의질연구
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• 제30권2호
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• pp.101-120
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• 2012

This research was conducted in order to find out the effects of boys' self-control, their parents' behaviors and marital conflict on boys' aggression. Subtypes of aggression in the present research consist of dimensions of the functions and forms (proactive-overt, proactive-relational, reactive-overt, reactive-relational). The participants of this study were 237 boys in the fifth and sixth grades in elementary schools located in Seoul and Gyeonggi province. The questionnaires were derived and modified from Lee Hong (2009) for boys' aggression, from Ju So Young and Lee Yang Hee (2008) for boys' self-control, from Jun Joo Ram (2008) and Heo Seung Yeon (2009) for maternal behaviors and from Kang Na Jung (2008) for marital conflict. In order to grasp the general characteristics of the participants, frequency and descriptive statistics were used. Also, Pearson's correlation was applied to the relationships amomg boys' self-control, marital behaviors and marital conflict on boys' aggression. Lastly, the variables that can predict boys' aggression were analyzed through multiple regression analysis by SPSS 19.0. The major results of this study were as follows. This research showed that this model fit well for boys. To summarize the important results, what is interesting in the present study is the effect of the mother's role in rearing their sons. It was found that mothers' criticism, negative behaviors, and excessive interference can cause boys' high level of aggressiveness. Also, having parents who fight frequently was strongly associated with boys' relational aggression. An interesting finding is that the mother's support influenced boys' reactive-overt aggression. Lastly, boys' self-control was highly associated with boys' proactive-relational aggression. This research may contribute to understanding boys' aggression' subtypes. To that end, the current results suggest that the dimensions of the functions and forms may be a useful tool in an effort to inform developmental theory and intervention. Also, this research may provide guidance for the resolution of problems caused by boys' aggression. Lastly, it was found that self- control training and parental education programs might prove beneficial for helping aggressive boys to overcome their aggressive impulses.

• Asian-Australasian Journal of Animal Sciences
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• 제26권9호
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• pp.1237-1246
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• 2013

The objective of this study was to estimate variance components and genetic parameters for lactation milk yield (LY), lactation length (LL), average milk yield per day (YD), initial milk yield (IY), peak milk yield (PY), days to peak (DP) and parameters (ln(a) and c) of the modified incomplete gamma function (MIG) in an Ethiopian multibreed dairy cattle population. The dataset was composed of 5,507 lactation records collected from 1,639 cows in three locations (Bako, Debre Zeit and Holetta) in Ethiopia from 1977 to 2010. Parameters for MIG were obtained from regression analysis of monthly test-day milk data on days in milk. The cows were purebred (Bos indicus) Boran (B) and Horro (H) and their crosses with different fractions of Friesian (F), Jersey (J) and Simmental (S). There were 23 breed groups (B, H, and their crossbreds with F, J, and S) in the population. Fixed and mixed models were used to analyse the data. The fixed model considered herd-year-season, parity and breed group as fixed effects, and residual as random. The single and two-traits mixed animal repeatability models, considered the fixed effects of herd-year-season and parity subclasses, breed as a function of cow H, F, J, and S breed fractions and general heterosis as a function of heterozygosity, and the random additive animal, permanent environment, and residual effects. For the analysis of LY, LL was added as a fixed covariate to all models. Variance components and genetic parameters were estimated using average information restricted maximum likelihood procedures. The results indicated that all traits were affected (p<0.001) by the considered fixed effects. High grade $B{\times}F$ cows (3/16B 13/16F) had the highest least squares means (LSM) for LY ($2,490{\pm}178.9kg$), IY ($10.5{\pm}0.8kg$), PY ($12.7{\pm}0.9kg$), YD ($7.6{\pm}0.55kg$) and LL ($361.4{\pm}31.2d$), while B cows had the lowest LSM values for these traits. The LSM of LY, IY, YD, and PY tended to increase from the first to the fifth parity. Single-trait analyses yielded low heritability ($0.03{\pm}0.03$ and $0.08{\pm}0.02$) and repeatability ($0.14{\pm}0.01$ to $0.24{\pm}0.02$) estimates for LL, DP and parameter c. Medium heritability ($0.21{\pm}0.03$ to $0.33{\pm}0.04$) and repeatability ($0.27{\pm}0.02$ to $0.53{\pm}0.01$) estimates were obtained for LY, IY, PY, YD and ln(a). Genetic correlations between LY, IY, PY, YD, ln(a), and LL ranged from 0.59 to 0.99. Spearman's rank correlations between sire estimated breeding values for LY, LL, IY, PY, YD, ln(a) and c were positive (0.67 to 0.99, p<0.001). These results suggested that selection for IY, PY, YD, or LY would genetically improve lactation milk yield in this Ethiopian dairy cattle population.