• 한국근적외분광분석학회:학술대회논문집
• /
• 한국근적외분광분석학회 2001년도 NIR-2001
• /
• pp.1245-1245
• /
• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• 한국근적외분광분석학회:학술대회논문집
• /
• 한국근적외분광분석학회 2001년도 NIR-2001
• /
• pp.1152-1152
• /
• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Journal of the Korean Data and Information Science Society
• /
• 제23권2호
• /
• pp.385-392
• /
• 2012

Logistic regression is a well known binary classification method in the field of statistical learning. Mixed-effect regression models are widely used for the analysis of correlated data such as those found in longitudinal studies. We consider kernel extensions with semiparametric fixed effects and parametric random effects for the logistic regression. The estimation is performed through the penalized likelihood method based on kernel trick, and our focus is on the efficient computation and the effective hyperparameter selection. For the selection of optimal hyperparameters, cross-validation techniques are employed. Numerical results are then presented to indicate the performance of the proposed procedure.

• 터널과지하공간
• /
• 제14권2호
• /
• pp.133-141
• /
• 2004

현장조사를 통해 암반사면의 안정성을 평가하기 위해서 여러 연구자들에 의해 평가법이 제안되었다. 그러나 기존의 평가법들은 제안자의 주관적 판단에 의해 평가항목의 선정과 가중치가 달리 적용되고 있어 평가법에 따라 안정성 평가결과도 서로 상이하게 나타나고 있다. 따라서 각 평가항목에 대한 가중치의 객관성을 확보하기 위해 로지스틱 회귀분석을 실시하여 안정성 평가법을 제안하였다.

• 대한한의학회지
• /
• 제27권1호
• /
• pp.118-129
• /
• 2006

Objectives : A human being is classified into 4 constitutions(Taeyangin, Soyangin, Taeumin, and Souemin) and each constitution has the different incidence, treatment and prevention of disease in Sasang Constutional Medicine[SCM], The purpose of this study is to find relative risk(RR)s of each risk factors including Sasang Constitution[SC] for incidence of ischemic stroke. Methods : In 344-case patients with ischemic stroke and 1446 healthy control subjects without ischemic stroke, we evaluated sex, age. height, weight, BMI, ECG abnormality, hypertension, diabetes mellitus, blood lipid level and SC. These data were statistically analysed to investigate the relations between risk factors and the incidence of ischemic stroke by chi-square test. And then significant factors were analysed to get each adjusted odds ratio[OR] by binary logistic regression analysis. Results : ECG abnormality, hypertension, diabetes mellitus, HDL(high density lipoprotein) cholesterol, and SC were significantly related to the incidence of ischemic stroke, while age, sex and BMI were adjusted in a binary logistic regression analysis. Especially in SC, the incidence of ischemic stoke in Tae-eumin and Soyangin were higher than that in Soeumin (Tae-eumin OR=11.68[95% CI: 6.26-21.80], Soyangin OR=4.64[95% CI: 2.66-8.10]). Conclusions : These results suggested that SC may be one of important risk factors for ischemic stroke and it should be a useful data for prediction of incidence of ischemic stroke.

• 동의신경정신과학회지
• /
• 제16권2호
• /
• pp.65-72
• /
• 2005

Objectives : This study is for discovering the clinical Features of the sleep in ordinary symptoms based on the Sasang Constitution. The result of this study could be helpful to understand and to identify the patients as Soyangin in contrast with the other constitutions -Soeumin, Taeumin and Taeyangin. Methods : There were 1,229 patients(700 female), who answered the questionnaire about their ordinary sleeping patterns. They had been diagnosed, including their clinical Sasang Constitution, by the Sasang Constitution specialist at Bundang Oriental Hospital of Dongguk University. By applying the binary logistic regression analysis, we can measure the characteristics and the influence of ordinary sleeping patterns to the dependent variable(Sasang Constitution). Results : As a result of the binary logistic analysis on the observed questionnaire, we found the characteristics of the ordinary sleeping patterns on Soyangin in contrast with the other constitutions. Firstly, Soyangin has a tendency that he wouldn't dreams more, when he sleeps in contrast with the others. Secondly, Soyangin has a tendency that he wouldn't sleep longer than 6-7hours. Thirthly, Soyangin has a tendency that he will sleep well in contrast with the others. Conclusion : This study will be used to identify patients as Soyangin in contrast with the others-Soemin, Taeumin and Taeyangin.

• 한국자동차공학회논문집
• /
• 제19권3호
• /
• pp.9-15
• /
• 2011

This study analyzed contributing factors affecting leg injury severity in pedestrian-vehicle crashes. A Binary Logistic Regression (BLR) method was used to identify the factors. Independent variables include characteristics for pedestrian, vehicle, road, and environmental conditions. The leg injury severity is classified into two classes, which are dependent variables in this study, such as 'severe' and 'minor' injuries. Pedestrian age, collision speed, and the height of vehicle were identified as significant factors for the leg injury. The probabilistic outcome of predicting leg injury severity can be effectively used in not only deriving pedestrian-related safety policies but also developing advanced vehicular technologies for pedestrian protection.

• 한국농공학회논문집
• /
• 제63권2호
• /
• pp.33-40
• /
• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• 한국항공운항학회지
• /
• 제23권4호
• /
• pp.42-48
• /
• 2015

This paper has its purpose on constructing a prediction model of the arrival sequencing strategy which reflects the actual sequencing patterns of air traffic controllers. As the first step, we analyzed a pair-wise sequencing of two aircraft entering TMA from different entering points. Based on the historical trajectory data, several traffic factors such as time, speed and traffic density were examined for the model. With statistically significant factors, we constructed a prediction model of arrival sequencing through a binary logistic regression analysis. With the estimated coefficients, the performance of the model was conducted through a cross validation.

• 한국콘텐츠학회논문지
• /
• 제15권8호
• /
• pp.366-374
• /
• 2015

본 연구는 공공부조를 지원받고 있는 대상자를 중심으로 자살생각에 영향을 미치는 요인이 무엇인지 살펴보았다. 이를 위하여 한국보건사회연구원과 서울대학교 사회복지연구소에서 조사한 한국복지패널(Korea Welfare Panel Study) 7차년도(2012년) 자료를 사용하였으며, 분석방법은 자살생각에 대한 영향의 정도를 파악하기 위해 이항 로짓모형을 이용한 회귀분석(binary logistic regression analysis)을 실시하였다. 분석 결과 중졸인 경우, 기혼인 경우, 자아존중감이 높을수록, 공공부조 만족도가 높을수록 자살생각을 할 가능성이 낮은 것으로 나타났다. 또한 우울이 있는 경우, 중년층인 경우 자살생각을 할 가능성이 높았다. 빈곤층에게 신체적, 심리적 요인만이 아닌 공공부조 만족도 역시 자살생각에 영향을 미칠 수 있다는 것을 증명하였다. 따라서 지원을 받는 대상자들의 만족도를 측정하는 것도 자살생각에 영향을 미치는 중요한 요인 중 하나일 수 있음을 시사한다.