• 한국시뮬레이션학회논문지
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• 제14권3호
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• pp.67-77
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• 2005

Logistics network of the enterprise is defined to determine the optimal node and link considering the production, inventory and transportation based on the demand forecasting. This study consider the optimal logistics network of A painter company which maintain the existing transportation network and plan to relocate its plants and build new distribution centers. For this, we design possible alternative scenarios and install the simulation models for analysis of each scenario. The result of simulation will help the proper logistic network and determining the size of distribution center further.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.302-305
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• 2004

The aim of this study is to apply and crossvalidate a spatial logistic multiple-regression model at Boun, Korea, using a Geographic Information System (GIS). Landslide locations in the Boun area were identified by interpretation of aerial photographs and field surveys. Maps of the topography, soil type, forest cover, geology, and land-use were constructed from a spatial database. The factors that influence landslide occurrence, such as slope, aspect, and curvature of topography, were calculated from the topographic database. Texture, material, drainage, and effective soil thickness were extracted from the soil database, and type, diameter, and density of forest were extracted from the forest database. Lithology was extracted from the geological database and land-use was classified from the Landsat TM image satellite image. Landslide susceptibility was analyzed using landslide-occurrence factors by logistic multiple-regression methods. For validation and cross-validation, the result of the analysis was applied both to the study area, Boun, and another area, Youngin, Korea. The validation and cross-validation results showed satisfactory agreement between the susceptibility map and the existing data with respect to landslide locations. The GIS was used to analyze the vast amount of data efficiently, and statistical programs were used to maintain specificity and accuracy.

• 응용통계연구
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• 제24권5호
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• pp.847-859
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• 2011

cDNA microarray-based comparative genomic hybridization(CGH) data includes low-intensity spots and thus a statistical strategy is needed to detect subtle differences between different cancer classes. In this study, genes displaying a high frequency of alteration in one of the different classes were selected among the pre-selected genes that show relatively large variations between genes compared to total variations. Utilizing copy-number changes of the selected genes, this study suggests a statistical approach to predict patients' classes with increased performance by pre-classifying patients with similar genetic alteration scores. Two-stage logistic regression model(TLRM) was suggested to pre-classify homogeneous patients and predict patients' classes for cancer prediction; a decision tree(DT) was combined with logistic regression on the set of informative genes. TLRM was constructed in cDNA microarray-based CGH data from the Cancer Metastasis Research Center(CMRC) at Yonsei University; it predicted the patients' clinical diagnoses with perfect matches (except for one patient among the high-risk and low-risk classified patients where the performance of predictions is critical due to the high sensitivity and specificity requirements for clinical treatments. Accuracy validated by leave-one-out cross-validation(LOOCV) was 83.3% while other classification methods of CART and DT performed as comparisons showed worse performances than TLRM.

• 대한안전경영과학회지
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• 제14권1호
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• pp.147-154
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• 2012

The medium and small logistic companies that have an outsourcing contract from the large corporation are encountered with a problem to introduce the ERP system to their current business environment due to following risk of change in current business environment, high cost involved in investment, and lack of understanding of business requirement of ERP. Instead of build their own ERP system, the small and medium logistic companies are using the large corporation's ERP system and get the benefit of efficiency in management and control process. Therefore, it is more like the organization hierarchy, not collaboration between the medium and small companies with the large corporation. In this study, the survey method to find out how the medium and small logistic companies understand the importance of ERP system on continuous growth of business by AHP. as result, they are recognized. The benefit of the ERP system as having much effect on business competitiveness.

• The Plant Pathology Journal
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• 제39권4호
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• pp.335-350
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• 2023

Physoderma fungal species cause faba bean gall (FBG) which devastates faba bean (Vicia faba L.) in the Ethiopian highlands. In three regions (Amahara, Oromia, and Tigray), the relative importance, distribution, intensity, and association with factors affecting FBG damage were assessed for the 2019 (283 fields) and 2020 (716 fields) main cropping seasons. A logistic regression model was used to associate biophysical factors with FBG incidence and severity. Amhara region has the highest prevalence of FBG (95.7%), followed by Tigray (83.3%), and the Oromia region (54%). Maximum FBG incidence (78.1%) and severity (32.8%) were recorded from Amhara and Tigray areas, respectively. The chocolate spot was most prevalent in West Shewa, Finfinne Special Zone, and North Shewa of the Oromia region. Ascochyta blight was found prevalent in North Shewa, West Shewa, Southwest Shewa of Oromia, and the South Gondar of Amhara. Faba bean rust was detected in all zones except for the South Gonder and North Shewa, and root rot disease was detected in all zones except South Gonder, South Wollo, and North Shewa of Amahara. Crop growth stage, cropping system, altitude, weed density, and fungicide, were all found to affect the incidence and severity of the FBG. Podding and maturity stage, mono-cropping, altitude (>2,400), high weed density, and non-fungicide were found associated with increased disease intensities. However, crop rotation, low weed infestation, and fungicide usage were identified as potential management options to reduce FBG disease.

• 대한원격탐사학회지
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• 제33권6_2호
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• pp.1047-1060
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• 2017

현대사회에서 지속적으로 진행되고 있는 지구 온난화 현상은 비정상적인 기상 현상을 빈번히 발생시키고 있다. 특히 21세기에는 폭우와 같이 수문학적 측면에서 물의 특성이 전과 다르고, 수문학적 재해의 강도와 빈도가 증가하고 있다. 그 중 도시 지역에서는 재해로 인한 피해가 극대화될 가능성이 크기 때문에 피해를 대비하기 위한 재해에 대한 예측이 필요하다. 따라서 본 연구에서는 우리나라의 대표적인 도시 자연 재해인 산사태를 로지스틱 회귀(Logistic regression, LR) 모델을 이용하여 분석하고 현장조사를 통해 산사태 이후의 관리 현황을 조사 및 검증하였다. 현장조사 대상 지역은 기존에 산사태 발생지역 및 본 연구의 연구결과로부터 산사태 취약성이 높게 나타난 지역을 중심으로 수행하였다. 기존 산사태 발생지 데이터는 2011년 우면산 산사태 당시의 현장조사 자료 및 항공사진 비교분석을 통해 추출하였다. 산사태 관련 요인은 항공사진으로부터 제작된 지형도와 임상도에서 추출하였다. 산사태 취약성 지도는 산사태에 영향을 미치는 총 13개 요인을 통해 구성된 공간 데이터베이스에 LR 모델을 적용하여 제작되었다. 마지막으로 ROC(Receiver operating characteristic) 곡선을 이용해 산사태 취약성 지도를 검증한 결과 77.79%의 정확도를 나타냈다. 추가적으로, 연구결과에 나타난 산사태 취약지역에 대해 2011년 산사태 이후 산사태가 어떻게 관리되었는지를 확인하기 위해 현장조사를 수행하였다. 본 연구의 결과는 국내 도시 산사태 관리에 관한 정책 수립에 있어 과학적 근거로 활용할 수 있을 것으로 기대된다.

• 한국산림과학회지
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• 제105권4호
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• pp.429-434
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• 2016

임도 사면의 붕괴는 환경적 피해 뿐 만 아니라 사회 경제적 손실을 발생시킨다. 본 연구는 2013년 집중호우로 임도 붕괴가 발생한 강원도 홍천군 화촌면 지역을 대상으로 GIS의 속성정보와 로지스틱 회귀분석을 이용하여 임도 붕괴지 위험도 평가를 실시하였다. 로지스틱 회귀분석결과, 토성이 사토인 지역의 회귀계수는 6.616으로 임도붕괴에 가장 위험성이 높았으며, 경급이 중경목인 지역의 경우 회귀계수가 -3.282로 임도사면의 안정성이 높았다. 임도 붕괴지의 정오분류결과는 74.6%의 분류정확도를 보였다. 로지스틱 회귀모델식을 이용하여 전 구간을 대상으로 적용해 본 결과, 임도붕괴지의 경우 0.5의 기준점 보다 높은 0.7이상의 구간에서 가장 많이 분포하여 붕괴가능성이 높은 것으로 나타났다. 임도 위험도 평가의 판별적중률로 볼 때 임도의 산림환경 및 입지인자의 분석을 통해서도 충분한 붕괴위험 평가가 가능할 것으로 사료된다.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 2004년도 제56차 추계 학술대회 연제집
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• pp.40.1-40.1
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• 2004

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2016년도 춘계학술대회
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• pp.213-214
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• 2016

기업의 공급망 관리와 소비스 만족도 향상, 효율적 물류관리 차원에서의 기업 물류거점의 규모 및 위치 결정 등의 전략을 수립하는 것은 기업의 장기적인 비전과 직결됨과 동시에 물류 최종목표인 고객만족을 극대화시키는 기업전략과 일치하는 매우 중요한 의사결정이다. 따라서 본 연구는 국내 기업을 대상으로 실제 기존 물류거점 및 물류비용을 분석하고 기존 물류거점을 재조정, 재배치하여 물류비 절감 및 물류 효율성을 제고함으로 향후 타 기업의 물류거점 구축 및 재배치에 유익한 시사점을 제공하고자 한다.

• 동서간호학연구지
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• 제14권2호
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• pp.47-53
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• 2008

Purpose: Metabolic syndrome (also known as insulin resistance syndrome) represents a constellation of hypertriglyceridemia, hypertension, impaired glucose tolerance, and obesity. Presently, the influence of various factors on metabolic syndrome was assessed in patients of a university hospital comprehensive medical examination center. Methods: Age, sex, blood pressure, height, weight, triglyceride level, high-density lipoprotein cholesterol, and glucose levels were measured in 67 people (37 males and 30 females). These factors were correlated with tobacco use, alcohol consumption, and exercise habits. Metabolic syndrome and abdominal obesity were assessed according to NCEP-ATP III criteria and the Asia-Pacific guidelines (male obesity defined as a waist circumference exceeding 90 cm), respectively. Data was analyzed using t-test, 2-test, and logistic regression. Results: Respective percentages were: tobacco use (14.9% of the 67 people), no tobacco use (85.1%), alcohol consumption (62.7%), no alcohol consumption (37.3%), regular exercise (25.4%), no regular exercise (74.6%). Logistic regression analysis revealed a gender-related odds ratio of 2.3 for metabolic syndrome and no exercise. Conclusions: Weight reduction and physical exercise may decrease the prevalence of metabolic syndrome. Early identification of metabolic syndrome and risk factor modification is prudent in cases of obesity, diabetes, hyperlipidemia, and hypertension.