• Journal of the Korea Society for Simulation
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• v.14 no.3
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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.

• Proceedings of the KSRS Conference
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• 2004.10a
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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.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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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.

• Journal of the Korea Safety Management & Science
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• v.14 no.1
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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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• v.39 no.4
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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.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1047-1060
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• 2017

In recent years, global warming has been continuing and abnormal weather phenomena are occurring frequently. Especially in the 21st century, the intensity and frequency of hydrological disasters are increasing due to the regional trend of water. Since the damage caused by disasters in urban areas is likely to be extreme, it is necessary to prepare a landslide susceptibility maps to predict and prepare the future damage. Therefore, in this study, we analyzed the landslide vulnerability using the logistic model and assessed the management plan after the landslide through the field survey. The landslide area was extracted from aerial photographs and interpretation of the field survey data at the time of the landslides by local government. Landslide-related factors were extracted topographical maps generated from aerial photographs and forest map. Logistic regression (LR) model has been used to identify areas where landslides are likely to occur in geographic information systems (GIS). A landslide susceptibility map was constructed by applying a LR model to a spatial database constructed through a total of 13 factors affecting landslides. The validation accuracy of 77.79% was derived by using the receiver operating characteristic (ROC) curve for the logistic model. In addition, a field investigation was performed to validate how landslides were managed after the landslide. The results of this study can provide a scientific basis for urban governments for policy recommendations on urban landslide management.

• Journal of Korean Society of Forest Science
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• v.105 no.4
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• pp.429-434
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• 2016

Slope failures in forest roads often result in social and economic loss as well as environmental damage. This study was carried out to assess susceptibility of slope failures of forest roads in Hongcheon-gun, Gangwon-do where many slope failures occurred after heavy rainfall in 2013 using GIS and logistic regression analysis. The results showed that sandy soil (6.616) in soil texture type had the highest susceptibility to slope failures while medium class (-3.282) in tree diameter showed the lowest susceptibility. A error matrix for both slope failure and non-slope failure area was made and a model was developed showing a classification accuracy of 74.6%. Non-slope failures area in the forest roads were classified mostly in the range of >0.7 which was higher values than the classification criteria (0.5) used by the logistic regression model. It is suggested that considering forest environment and site factors related to forest road failures would improve the accuracy in predicting susceptibility of slope failures.

• 대한예방의학회:학술대회논문집
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• 2004.10a
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• pp.40.1-40.1
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• 2004

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.213-214
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• 2016

Based on the efficient supply chain management which will be derived the customer satisfaction, the developing strategies about the scale and location of distribution center(DC) is a very important decision factors to improve the logistics cost efficiency. To do this, we will analyze the conventional DCs' location and cost which belongs to 'D' grocery company operating in Korea and propose the useful way for relocating and establishing DC in company to satisfy the reduction target of logistics cost.

• Journal of East-West Nursing Research
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• v.14 no.2
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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.