• Convergence Security Journal
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• v.22 no.5
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• pp.135-143
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• 2022

The defense environment is rapidly changing, such as nuclear and missile threats of North Korea, changes in war patterns, and a decrease in military service resources due to low birth rate. In order to actively respond to these changes, the Korean military is promoting Defense Innovation 4.0 and is trying to foster an army armed with high technology such as artificial intelligence (AI), big data analysis, etc. In this regard, we analyze the effectiveness of the radar-based AI scientific guard system applied by high technology for guard operations using Analytic Hierarchy Process (AHP). We first select evaluation factors that can assess the effectiveness of the scientific guard system, and analyze its relative importance. Each evaluation factor was selected by deriving a significant concept from operating principle and how they work, and by consulting experts on the correlation between each factor and effectiveness of the scientific guard system. We examine the relative effects of the radar-based AI scientific guard system and existing scientific guard system based on the importance of the evaluation factors.

• Journal of Biomedical Engineering Research
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• v.24 no.2
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• pp.61-68
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• 2003

This paper presents a quantitative analysis method for fall in sick times of the cerebral infarction patients using three types of magnetic resonance image, which play an important role in deciding method of medical treatment. For this object, image characteristics obtained by three radiographic methods of MRI and their relation were analyzed by means of object centered hierarchical Planning method. This methode presents an approach to the knowledge based processes for image interpretation and analysis. To compare three type of MRI. a multiple warping algorithm and affine transform method performed for image matching. Then each fall in sick times level of cerebral infarction was quantified and pseudo-color mapping performed by comparing gray level value one another according to Previously obtained hand maid data. The result of this study was compared to a medical doctors decision.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.127-129
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• 2006

최근 대부분 기업들 환경에서의 정보 시스템들은 지역적으로 분산되어 있으며 다양한 형태로 구성되어 있으므로, 사용자 의사 결정을 지원하는데 필요한 통합된 정보를 얻는 것은 어려운 일이다. 따라서 이러한 문제를 효율적으로 정보 검색에 적용하기위해 사용자에게 단일 인터페이스를 제공하고, 이기종 시스템들 간에 구축된 데이터베이스 시스템들은 각각 독립성을 유지하면서 하나의 인터페이스처럼 투명성을 제공할 필요성이 있다. 이를 위해 ISO/IEC 11179에서 연구 중인 XMDR의 개념을 이용하여 정보검색에서 발생하는 "의미적 상호운용성(semantic interoperability)"이라는 문제점을 해결하고 이 XMDR에 지식 인스턴스 계층을 통한 지식공유를 가능하게 함으로써 단순 검색의 한계점을 극복할 수 있도록 한다. 본 논문에서는 데이터 표현에 사용되는 명칭, 속성, 관계성에 대한 이질적인 문제를 해결하기 위한 표준 온톨로지, 각 레거시 시스템을 연결하는 중간자(mediation)역할을 수행하는 로케이션 온톨로지, 지식공유가 가능하도록 하는 지식 인스턴스 계층으로 구성하는 방법을 제안한다. 또한 지식 인스턴스 계층은 협업적인 검색 환경하에서 각각의 정보시스템에서 다양한 형태의 지식을 공유 및 통합에 있어 구조화 되지 않은 지식들을 어떻게 공유할 것인가에 대한 개념적인 모델을 제시한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.3
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• pp.202-209
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• 2002

This paper deals with simplification of classification rules for data mining and rule bases for control systems. Datamining that extracts useful information from such a large amount of data is one of important issues. There are various ways in classification methodologies for data mining such as the decision trees and neural networks, but the result should be explicit and understandable and the classification rules be short and clear. The rough sets theory is an effective technique in extracting knowledge from incomplete and inconsistent data and provides a good solution for classification and approximation by using various attributes effectively This paper investigates granularity of knowledge for reasoning of uncertain concopts by using rough set approximations and uses a hierarchical classification structure that is more effective technique for classification by applying core to upper level. The proposed classification methodology makes analysis of an information system eary and generates minimal classification rules.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4697-4706
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• 2010

This paper suggested the optimal operating design method using simulation and ANP(Analytic Network Process) for mass-customization in the automotive component manufacturing industry. For this, first of all, we built the simulation model including various and complex factors in the field, and estimated the meta-model by RSM(Response Surface Method). Secondly using ANP, we calculated the weight of relative importance of evaluation factors gathered from decision makers. And then, we proposed the optimal operation designs by MOGA(Multi-Objective Genetic Algorithm), analyzed results of them. Moreover, by comparing the results with the consequences using AHP(Analytic Hierarchy Process), we showed its superiority of suggested method to the manner using AHP, because it reflects inner, outer dependency, and inter-relation among judgement factors. In conclusion, through this process, we can present the better way to serve mover effective, precise, and accurate information to decision makers when they build operation design for mass-customization system as automotive parts production system.

• Journal of the Korean Society for information Management
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• v.17 no.3
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• pp.125-146
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• 2000

This study is to maximize the efficiency of university libraries' human resources management by determining the followings : the relationship between the level of information technology(1T) implement and the job satisfaction of the librarians, the main factors that affect job satisfaction, and how organizational characteristics and individual characteristics affect job satisfaction. Questionnaire was sent to 485 librarians from 27 universities chosen by stratified sampling and the methods of ANOVA, T-test, and correlation analysis were used. The results of the analysis are as follows. 1) there is a significant difference in the level of job satisfaction and the motivation factor according to the level of implementation of IT. 2) There is a relatively high correlation among the participation in decision making, the leadership in implementing the IT, the IT support of the CEO and job satisfaction. 3) There is a significant difference in job satisfaction by the level of computer skills, and a relatively high correlation is shown in the training experience while implementing the IT and job satisfaction.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.227-233
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.12-23
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• 2021

This study organizes policy tasks currently being promoted by the government to revitalize the domestic VR and AR industries, which are evaluated to be stagnant compared to major overseas countries, and aims to derive priorities through analysis of an AHP survey for experts in the VR/AR field, and to seek countermeasures based on the analysis results. As a result of classification based on various previous studies, press releases, and policy data, it was divided into 5 major categories and 16 sub-categories: technical issues, awareness improvement, legal/institutional improvement, government support, and manpower development. As a result of the AHP analysis, in the major category, the "government support" appeared as the top priority policy task, followed by the "manpower development". In the sub-categories, "training new manpower" was the most important policy implementation task, followed by "enhancing technological competitiveness". This study is meaningful in that it selects and presents prioritized policy tasks that clearly reflect the position and perspective of the industry on the policy-making situation exposed to the limitations of time and resources, while also presenting practical improvement plans.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.257-262
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• 2024

Today, high-speed rail is gradually increasing in importance as an eco-friendly means of transportation responsible for the movement of people between regions. In the past, problems of inefficiency continued due to monopolistic operation of the railway industry, and with the introduction of a public enterprise competition system, KTX and SRT operating organizations are making efforts to expand service quantity and improve quality. However, the high-speed rail service quality evaluation was limited to modifying and supplementing indicators from the operator's perspective suitable for past quality evaluations, and the evaluation target or method was not specific. Therefore, in this study, we developed a hierarchical model to measure high-speed rail customer service quality based on the model of Brady and Cronin(2001) and applied the analytical hierarchical decision-making method(AHP) to derive the priorities of Korea's high-speed rail competitiveness factors. Based on the results, it is believed that introducing reasonable and standardized service quality indicators will contribute to establishing a marketing strategy to improve the customer service competitiveness of high-speed rail operators.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.218-225
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• 2020

This study analyzed the priorities of the cross-compliance items of public-benefit direct payment using an Analytic Hierarchy Process and Fuzzy Decision Making Analysis. The valuation criteria are policy efficiency, farm acceptability, and feasibility, and the valuation targets are the basic and additional cross-compliance items. The survey was performed by targeting 50 experts from each class, and conducted for about a month starting from the beginning of July 2019. The results show that the weight of the valuation criteria is higher in the order of farm acceptability, feasibility, and policy efficiency. Compliance with PLS standards, compliance with disposal standards of waste vinyl and pesticides, soil testing, compliance with toxic substance standards, education, etc. are comparatively evaluated to be higher cross-compliance items in basic cross-compliance. Disposing of an abandoned well, jointly collecting and disposing of agricultural by-products, common area care and cleaning, maintenance of empty houses and poor facilities, growing green manure crops during the fallow period, etc. are comparatively evaluated to be higher cross-compliance items for the additional cross-compliance. The results of this study are expected to contribute to the government's policy related to the cross-compliance of public-benefit direct payment.