• Journal of the military operations research society of Korea
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• v.35 no.1
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• pp.83-93
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• 2009

The future warfare is known as an effective centric paralysis warfare where military high technologies such as pinpoint strikes are applied. In this future warfare, for supporting military operation leadership and power of concentration in the combat, a new concept of logistic support is required and the focused logistic is proposed as an alternative. To implement this focused logistic, asset visibility should be assumed for every combat units in real time. However, current logistic information systems provide only limited information. In this study, a prototype information system for class 2 and 4 supplies is proposed for overcome limitations of current information system. The developed prototype zooms in on combat units providing business process integrations and logistic function synchronization. Also, asset visibility, the essential element of focused logistics, is presented and utilized to show the speedy and effective logistic support.

• Journal of the military operations research society of Korea
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• v.25 no.1
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• pp.179-198
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• 1999

This study concerns logistics support analysis record(LASR) which provides guaranteed support, and is needed in various weapon systems development and acquisition to develop the optimal factor for integrated logistics support(ILS) by reflecting the results of logistics support analysis(LSA). We observe and analyze the logistics management information(LMI) system used in the United States under the integrated data environment(IDE), and analyze the differences between logistics management information system and the LOADERS(logistic support analysis data entry and retrieval system) which is currently used in Korea. Based on the analyzed results, a improvement model that corresponds to reality and can be applied is presented.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.39-48
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• 2017

Purpose: The purpose of this study was to verify the relationships among social support, resilience and post traumatic stress disorder (PTSD), and especially to identify factors influencing PTSD in police crime scene investigators. Methods: A cross-sectional design was used, with a convenience sample of 226 police crime scene investigators from 7 Metropolitan Police Agencies. Data were collected through self-report questionnaires during July and August, 2015. Data were analyzed using t-test, ${\chi}^2$-test, Fisher's exact test, and binary logistic regression analysis with SPSS/WIN 21.0 program. Results: The mean score for PTSD in police crime scene investigators was 13.69 .11 points. Of the crime scene investigators 181 (80.1%) were in the low-risk group and 45 (19.9%) in high-risk group. Social support (t=5.68, p<.001) and resilience (t=5.47, p<.001) were higher in the low-risk group compared to the high-risk group. Logistic regression analysis showed that resilience (OR=4.74, 95% CI: 1.57~14.35), and social support (OR=2.13, 95% CI: 1.23~3.69) are effect factors for PTSD low group. Conclusion: For effective improvement of PTSD in police crime scene investigators, intervention programs including social support and strategies to increase should be established.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.589-598
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• 2020

The study examines the impact of organizational rewards, procedure justice, and perceived supervisor support on perceived organizational support, and examine the impact of perceived organizational support on affective commitment to the organization in the logistic enterprises as well. Quantitative research is applied to measure relationships by regression analysis with SPSS. The research data was collected by convenient method from 180 employees who work in different departments in the logistics industry. The study results in the model 1 found that organizational rewards, procedure justice, and perceived supervisor support have a positive relationship to the perceived organizational support. The study results in the model 2 also found that perceived organizational support has strong impact on the affective commitment to the organization. The study results contribute to both management theory and management practice. For the management theory aspect, the authors suggest that perceived organizational support should be considered the key antecedent of affective commitment about which researchers should pay more attention as a concept. Based on the research results, the authors also recommend for the management practice that managers should pay attention to the implementation of rewards, procedure justice, and supervisor support to increase the perceived organizational support and affective commitment in the logistic enterprises.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.65-75
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• 2016

Unused spare parts of military equipments which have been kept in the warehouse for a long term have been recognized as wasting of defense budget which also decreased people's confidence in the field of national defence. It is known that overstock is caused by information distortion and bullwhip effect from downstream to upstream in the logistic support as is like business cases. After upgrading the logistic information system, it is possible for Army Logistics Command(ALC) to know demand information of end-user which is the key factor to reduce bullwhip effect. However, inventory is still overstocked and stock-out at the same time. Previous studies have not accounted for these phenomenons and have mainly focused on forecasting inventory level instead of budgetary process(budget period, PROLT, ASL/N-ASL). Thus, this study focuses on the information distortion, overstock and stock-out which caused by budgetary process in the logistic support with system dynamics and simulation.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.111-124
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• 2005

Objectives: The purpose of this study is to evaluate the impact of psycho-social factors on smoking especially the impact of a social support and stress on smoking among boy's high school students. Methods: This study was conducted by administering a questionnaire to 442 boys' high school students living in Deajeon, Korea. This data were analyzed with the SPSS statistical package using t-test and logistic regression. Major findings of this study are as follows: Results: 1. Analysis of the relationship of smoking, stress and social support: The relationship between stress and smoking and between friend's support and smoking had a positive correlation. But the relationship between parents' support and smoking and between teacher's support and smoking had a negative correlation. 2. Multiple logistic analysis of the impact of stress, social support and general characteristics on smoking: The relationship between stress and smoking had a positive correlation as social support and general characteristics were controlled. In contrast, the relationship between social support -parents', friend's, teacher's support- and smoking had no significant correlations as stress and general characteristics were controlled. The risk factors of smoking of boy's high school students were smoking friends, drinking, a type of school, pocket money per month, and stress. And the most powerful predictor of smoking was smoking friends(OR=12.35). Conclusions: The results showed that the variables affecting mainly on smoking were the personal background -smoking friends, drinking, a type of school, pocket money per month- and stress. Therefore, these findings give useful information for constructing a program against smoking or educating about smoking.

• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.282-301
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• 1997

CALS $\textbullet$ Computer Aided Logistic Support $\textbullet$ Continuous Acquisition and Lifecycle Support $\textbullet$ Commerce at Light Speed (광속의 상거래) $\textbullet$산업의 인터넷 CALS 표준화의 필요성 $\textbullet$ 독일의 자동차 산업 : -110개의 서로 다른 CAD 시스템 사용 $\textbullet$ 제품모델의 교환 문제 -설계단계간의 종적 자료교환 (시간축) -기능설계 부서간의 횡적 자료교환 (공간축)(중략)

• Land and Housing Review
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• v.13 no.3
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• pp.57-68
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• 2022

This study investigates what influences the 2030 households' intention to utilize housing support policies for the younger generation. Using the logistic regression model, our empirical results show that the 'the recognition of youth housing support projects', 'the housing occupation', 'employment type', 'housing type', and 'age' factors have a significant effect on the intention to use the housing support policies. Specifically, the intention is positively associated with economic activity, one-room residence, monthly rent, employment status during the Covid-19 period, and policy recognition, while negatively related to age. In addition, willingness to use the housing support policies is greater when respondents lived in a studio, lived on a monthly rent, recognized the policy, and improved their employment status. The results suggest that housing support programs need to be expanded and improved. Moreover, information on housing support policies should be efficiently delivered to eligible households, and more sophisticated housing support policies should be provided for young people early in their careers.

• Journal of National Security and Military Science
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• s.13
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• pp.659-685
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• 2016

At this research, author discusses about ROK Army military supplies distribution system and suggests a direction of development as follows in order to achieve maximum efficiency. First, Develope a scientific technique to estimate quantity of repair part for futher demanding at the budgetting and procurement planning stage. Second, Introduce an Logistic Revolving Fund in other to reduce the procurement lead time & assure flexible procurement all year round. Third, Reestabilish supply step stages and reduce stock level which is authorized stock amount in logistic support unit. Fourth, Estabilish civilian - military integrated military supplies distribution system to improve the efficiency of logistics.

• Communications for Statistical Applications and Methods
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• v.14 no.3
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• pp.507-516
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• 2007

Multinomial logistic regression is probably the most popular representative of probabilistic discriminative classifiers for multiclass classification problems. In this paper, a kernel variant of multinomial logistic regression is proposed by combining a Newton's method with a bound optimization approach. This formulation allows us to apply highly efficient approximation methods that effectively overcomes conceptual and numerical problems of standard multiclass kernel classifiers. We also provide the approximate cross validation (ACV) method for choosing the hyperparameters which affect the performance of the proposed approach. Experimental results are then presented to indicate the performance of the proposed procedure.