• Journal of Navigation and Port Research
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• v.28 no.1
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• pp.83-90
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• 2004

Navy surface vessels require pier services such as emergency repair, oil supply, arm loading / unloading, craning, standby readiness, normal repair, gun arrangement, ammunition loading, and food loading during the period in port. The purpose of this study is to establish efficient berth allocation plan for navy surface vessels in home port under the limited resources of piers and equipments. This study suggests Mixed Integer Programming model for berth allocation problem, considering precedence relationships among services. For an effective analysis, the model is implemented by ILOG OPL(Optimization Programming Language) Studio 3.1 and ILOG CPLEX 7.0. The results of the model show reduction of berth shifts and increasement of service benefits.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.333-339
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• 2021

The study seeks to identify the determinants of the adoption of e-commerce by small and medium-sized enterprises (SMEs) in developing countries, in our case, in Indonesia. The aim of this study is to examine the factors influencing e-commerce adoption. This study uses the method of quantitative data collection based on a questionnaire survey of SMEs in Indonesia. The research relies on Regional Project stipulations regarding Business Development in Indonesia, to capture businesses with a range of 5 to 100 employees that are classified as SMEs. This study randomly chose 100 SMEs in Indonesia from the IndoNetwork database. Partial least square (PLS) structural model data processing was used for path coefficients analysis. Structural equation modeling is applied in this study to analyze the determinant factors on the e-commerce adoption. The study findings reveal that four factors, namely, perceived benefits, compatibility, technology readiness, and government support, significantly influence the adoption of e-commerce, whereas customer/supplier pressure does not have influence. So, this study concludes that perceived benefits, compatibility, technology readiness, and government support had a significant and positive relationship with e-commerce adoption. Meanwhile, customer/supplier pressure had no effect on the e-commerce adoption of by Indonesia SMEs.

• Korean Journal of Construction Engineering and Management
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• v.13 no.4
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• pp.110-119
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• 2012

Recently as the advent of knowledge-based competition, the major industrialized countries including Korea, are expanding their R&D investment and promoting policies for diffusing of R&D performance. For this, NASA, DoD and such agencies in the United States define Technology Readiness Level (TRL) as a quantified indicator for performance management, and also impose Technology Readiness Assessment (TRA) as a evaluation system, that evaluates technology maturity using TRL. These tools are judged to be very effective in R&D projects especially with the object of practical use. When this concept is applied to the domestic national construction and transportation R&D project for the purpose of practical use, it is expected that the evaluation system overcomes its weakness of focusing only on academic results and improves significantly on intent of achieving practical use. Thus in this study, TRL/TRA implementation model of construction and transportation R&D project for achieving purpose of practical use is presented through an analysis of TRL/TRA concept and domestic national construction and transportation R&D project's characteristics and current evaluation/management system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3602-3610
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• 2013

The risk of failure in the development of modern weapon systems has been increasing as the demand on the capability and the resulting complexity of the weapons on the war fields are increasing drastically. The analysis of failure has indicated that the main causes can be the following: one is attributed to the unsatisfaction of the system operation concept; and the other is the use of premature technology. As such, DAPA in Korea is urging that the weapons systems development should meet the required operational capability (ROC) as a critical performance requirement. On the other hand, an approach to risk management is to use the technology readiness level (TRL) assessed for each individual technology alone. However, the method of TRL cannot assess the effect of integration between technologies and cannot be performed at system level, which is crucial to systems development. In order to improve the shortfalls, a concept of system readiness level (SRL) has been studied by introducing the technologies integration and also some forms of analysis of advanced degree of difficulty studied separately, but no model considering both of two reported yet. In this paper, under the framework of meeting the ROC, an improved SRL assessment model is presented, which is also considering the advanced degree of difficulty simultaneously. The application of the improved assessment method is discussed in connection with the life cycle of the weapon systems development in conformance with the ROC of DAPA.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1853-1862
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• 2015

Naval maintenance system carries out repairs of battle ships. Korean Navy has four maintenance stations to maximize the readiness of the battle ships. Since each station can provide different services according to characteristics(specific size of ships, type of maintenances) and the maintenance ability of stations is predetermined, it has been one of complex problems for the Korean Navy to find the optimal resource allocation. We investigate the operation of the stations from the perspective of the human resource allocation which plays crucial role in the performance of the maintenance stations. Using a queueing model and optimization technique, we present a way to derive the optimal personnel allocation which minimize the waiting number of battle ships at each station, leading to the improvement of the military readiness in the Korean Navy.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.298-305
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• 2018

This paper explored the impact of adaptive efforts for the 4th Industrial Revolution(hereafter, 4IR) on social cohesion at national level. To examine this relationship, Latent Growth Model was applied to thirty one OECD membership countries, 2006-2015. Adaptive efforts for 4IR was measured by the 4IR Relative Readiness(WEF, 2016) and social cohesion was measured by Corruption Perception Index(Transparency International) and trust on politicians(WEF). Results showed that corruption perception significantly decreased by the 4IR Relative Readiness and legal protection(judiciary independency and corporate ethics) and trust on politicians significantly increased by judiciary independency. These results imply that public and corporate efforts for the 4IR does not necessarily have negative impact on social cohesion as long as legal protection such as judiciary independency and corporate ethics are equally pursuit at national level.

• Journal of Multimedia Information System
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• v.4 no.2
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• pp.57-64
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• 2017

Numerous software vulnerabilities have been found in the popular operating systems. And recently, robust linear behaviors in software vulnerability discovery process have been noticeably observed among the many popular systems having multi-versions released. Software users need to estimate how much their software systems are risk enough so that they need to take an action before it is too late. Security vulnerabilities are discovered throughout the life of a software system by both the developers, and normal end-users. So far there have been several vulnerability discovery models are proposed to describe the vulnerability discovery pattern for determining readiness for patch release, optimal resource allocations or evaluating the risk of vulnerability exploitation. Here, we apply a linear vulnerability discovery model into Windows operating systems to see the linear discovery trends currently observed often. The applicability of the observation form the paper show that linear discovery model fits very well with aggregate version rather than each version.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.106-117
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• 2007

The purpose of this study was to evaluate the environmental education of public servants in National Institute of Environmental Human Resource Development(NIERD). Based on CIPP model, Evaluation areas and items were made. The data were collected through interviews, questionnaires and training and development team's internal information from November, 2005 to January, 2006. Based on the interviews and survey of 11 employee from training and development team, context factors, input factors, process factors, product factors were evaluated. The major findings of this study were as follows: First, the problem of the environmental education of environmental officials indicated lack of interest about education of Ministry of Environment, lack of education expense, lack of expertise of employee in training and development team, and so on. Second, the curriculum for environmental officials was not considered the environmental officials' readiness for education, developmental level and competency. Suggestions for future research were offered.

• The Journal of Information Systems
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• v.31 no.3
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.247-263
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• 2016

The purpose of the study is to derive success factors of B2C reverse auction business model, a business model contributes to the recent innovative practices in e-commerce and service sector. Electronic reverse auction has been traditionally used to ensure the procurement convenience and purchasing efficiency in B2B or B2G settings, however, e-RA is now expanding its basis toward B2C commerce industry along the huge success of an online e-RA travel service provider Priceline.com. Recently, B2C e-RA business model is getting the spotlight in the Korean venture industry with a variety of startups in diverse areas. However, e-RA does not work perfect in all kinds of trade settings. Therefore, we conducted a multiple case study to find out the success factors of B2C business model as follows : First, large supplier basis is an important factor that constructs a quasi-perfect competition environment. Second, the high online and mobile accessibility or e-readiness of Korean consumers was also a critical aspect of the success of e-RA. Lastly, e-RA performs best when the supplier switching cost is low and the trading occurs infrequently.