• 한국IT서비스학회지
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• 제11권4호
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• pp.25-37
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• 2012

In recent year, the u-City construction projects which integrate IT technology into urban infrastructures are being pushed forward by many local governments. These projects contain various purposes in an aspect of regional economy : to reinforce a competitiveness of region by increasing efficiency of urban managements and to revitalize regional economy by stimulating the regional high-tech industries that related to u-City construction. In this context, regional economic impact assessment of u-City construction projects is particularly important because, it give us information about effectiveness of u-City construction policy as a stimulus of regional high-tech industries and the policy feasibility of u-City construction projects that can be a base of public projects. However, it is challenging to assess the impact of u-City projects on regional economy properly due to a lack of understanding about industrial classification, and specific industrial inputs related to u-City construction. In this study, we suggest u-City industrial classifications, and specific-industrial inputs induced by u-City construction projects based on associated legislations, business report for a u-City construction, and results from previous studies. Using these classification and industrial input, we also investigate the regional economic impacts of a u-City construction project in Wha-sung and Dong-tan cities employing Input-output analysis. The empirical results suggests that u-City industries have relatively high in production inducement, and value added inducement compared to input of other industrial sectors. These results indicate that regional economic impact of a Wha-sung and Dong-tan u-City construction project are relatively high, but economic impacts of u-City construction projects vary according to the regional industrial structure, and the specific expense accounts of u-City construction projects.

• 산업경영시스템학회지
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• 제47권2호
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• pp.30-39
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• 2024

This study introduces a novel approach for identifying potential failure risks in missile manufacturing by leveraging Quality Inspection Management (QIM) data to address the challenges presented by a dataset comprising 666 variables and data imbalances. The utilization of the SMOTE for data augmentation and Lasso Regression for dimensionality reduction, followed by the application of a Random Forest model, results in a 99.40% accuracy rate in classifying missiles with a high likelihood of failure. Such measures enable the preemptive identification of missiles at a heightened risk of failure, thereby mitigating the risk of field failures and enhancing missile life. The integration of Lasso Regression and Random Forest is employed to pinpoint critical variables and test items that significantly impact failure, with a particular emphasis on variables related to performance and connection resistance. Moreover, the research highlights the potential for broadening the scope of data-driven decision-making within quality control systems, including the refinement of maintenance strategies and the adjustment of control limits for essential test items.

• 대한안전경영과학회지
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• 제10권2호
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• pp.143-154
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• 2008

With the recent rapid growth of RFID technologies, the Application of RFID systems into the medical or the military industries as well as into the distribution and logistics industry are now attempted continuously. The government and private sectors plan to carry out various small and large scale projects related to RFID systems. However, many companies attempting to apply RFID systems applications into their organizations are encountering many several difficulties because of the lack of installation experience and the absence of an useful guideline. This paper focuses on identification and classification of typical barriers to the successful application of RFID systems according to the five-step method of system application process. Moreover a "barrier map" is produced by conducting a survey and interviews by specialists. In addition, a practical guideline to overcome such barriers is presented and discussed.

• 대한산업공학회지
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• 제7권2호
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• pp.27-41
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• 1981

The purpose of this study is to extract and classify the general patterns on scientific and technological development by quantitative approaches. Indicators used for this pattern classification amounted to a total of 39. what is more, these indicators were set up with the recent data for the first half of the 1970's mainly, and 141 nations were selected as the sample of the analysis. 7 aspects which prescribe the scentific and technological activities were established, and so 3 patterns of the S & T development were extrected by means of a "two-dimensional cross section" among them. (1) A pattern showing the trend of the exponential curve from the point over a certain level (in this study, it is defined as "Threshold Valued"). (2) A pattern in which elasticity of the exponential curve is gradually reduced from the point over the threshold value. (3) A pattern not showing any trend, but forming a large variance.

• 한국산업정보학회논문지
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• 제9권4호
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• pp.16-25
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• 2004

분류시스템은 현재의 유용한 규칙들로부터 새로운 규칙들을 만들어 가기 위해 학습하는 규칙 기반 시스템이다. 본 논문에서는 방대한 데이터베이스에서 유용한 정보를 얻는 분류시스템의 분류 규칙 발견을 위한 유전자 알고리즘 을 제안하였다. 제안된 방법을 자동차 보험문제에 적용하여 제안된 유전자 알고리즘 기반 분류시스템의 성능을 평가하였다.

• 산업기술연구
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• 제29권B호
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• pp.9-15
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• 2009

In the case of traditional binary encoding technique, it takes long time to converge the optimal solutions and brings about complexity of the systems due to encoding and decoding procedures. However, the ROGAs (real-coded genetic algorithms) do not require these procedures, and the k-means clustering algorithm can avoid global searching space. Thus, this paper proposes a new approach by using their advantages. The proposed method constructs the multiple predictors using the optimal differences that can reveal the patterns better and properties concealed in non-stationary time series where the k-means clustering algorithm is used for data classification to each predictor, then selects the best predictor. After selecting the best predictor, the cluster centers of the predictor are tuned finely via RCGKA in secondary tuning procedure. Therefore, performance of the predictor can be more enhanced. Finally, we verifies the prediction performance of the proposed system via simulating typical time series examples.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2004년도 품질경영모델을 통한 가치 창출
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• pp.302-306
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• 2004

When we include environment side safety, environmental material's reliability technology and study for the application method, the evidence supporting the investment of R&D person and financial. Clearly, the most important task in electrical and electronics company's product soldering process the probability of heavy metals exclude is to identify the mechanisms by which they may take place. Therefore, this study emphasis on the application environmental material classification and reliability technology.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제11권2호
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• pp.49-57
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• 2007

In fingerprints, singular regions including core or delta points have different directional characteristics from non-singular regions. Generally, the ridges of singular regions change more abruptly than those of nonsingular areas, thus in order to effectively enhance fingerprint images regardless of region, local ridge curvature information needs to be used. In this paper, we present an improved Directional Filter Bank (DFB)-based fingerprint image enhancement method that effectively takes advantage of such ridge curvature information. The proposed method first decomposes a fingerprint image into 8 directional subbands using the DFB and then classifies the image into background, low curvature, and high curvature regions using the directional energy estimates calculated from the subbands. Thereafter, the weight values for directional subband processing are determined using classification information and directional energy estimates. Finally, the enhanced image is obtained by synthesizing the processed subbands. The experimental results show that the proposed approach is effective in enhancing both singular and non-singular regions.

• 한국산업정보학회논문지
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• 제8권1호
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• pp.75-82
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• 2003

인터넷의 대중화로 인한 네트워크의 급속한 팽창으로 보안관리가 중요하게 인식되고 있다. 특히, 이상패킷을 이용한 공격들은 비정상적인 패킷들을 통하여 침입탐지 시스템이나 침입차단 시스템을 우회하여 공격하기 때문에 탐지해 내기가 어렵다. 본 논문에서는 이상패킷을 이용한 공격들을 실시간에 효율적으로 탐지할 수 있는 네트워크 기반의 침입탐지 시스템을 설계하고 구현한다. 침입탐지 시스템을 설계하기 위하여 먼저 침입 탐지를 위한 패턴을 분류하고 이를 기반으로 해싱기법이 적용된 룰트리를 생성한다. 생성된 룰트리를 기반으로 제안한 시스템은 이상패킷 공격을 효율적으로 실시간에 탐지한다.

• 산업경영시스템학회지
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• 제22권50호
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• pp.195-207
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• 1999

Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing. The steps of developing the C&C system are as follows: 1) analysis of existing coding system and drawing type; 2) design of C&C system; 3) practice of designed coding system to a field.