• The Journal of Korean Association of Computer Education
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• v.16 no.5
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• pp.39-47
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• 2013

In the case of a weak self-control youth, young students easily tend to fall into addiction by using the Internet as a sensation seeking and an alternative to escape the reality. Until now, internet addiction self-diagnosis techniques such as Internet addiction scale have been developed and used to solve this kind of internet addiction issue. However, traditional methods do not assess the correlation of addiction and the effects of the environment systematically because they are simply composed of redundant addiction scale criteria and questionnaire forms of the diagnostic methods. Thus, in this paper, we propose a new internet addiction self-diagnosis technique based on Formal Concept Analysis (FCA) and implement a self-diagnosis system in order to make a systematic internet addiction self-diagnosis system. In addition, we analyze the correlation of the measured data based on different perspectives such as home environment, family relationships, peer relationships, school life, and so on.

• Journal of KIISE:Software and Applications
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• v.28 no.10
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• pp.720-731
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• 2001

Complexity metrics have been developed for the structured paradigm of software development are not suitable for use with the object-oriented(OO) paradigm, because they do not support key object-oriented concepts such as inheritance, polymorphism. message passing and encapsulation. There are many researches on OO software metrics such as program complexity or design metrics. But metrics measuring the complexity of classes at the OO analysis phase are needed because they provide earlier feedback to the development project. and earlier feedback means more effective developing and less costly maintenance. In this paper, we propose the new metrics to measure the complexity of analysis classes which draw out in the analysis based on RUP(Rational Unified Process). By the collaboration complexity, is denoted by CC, we mean the maximum number of the collaborations can be achieved with each of the collaborator and determine the potential complexity. And the interface complexity, is denoted by IC, shows the difficulty related to understand the interface of collaborators each other. We verify theoretically the suggested metrics for Weyuker's nine properties. Moreover, we show the computation results for analysis classes of the system which automatically respond to questions of the user using the text mining technique. As a result of the comparison of CC and CBO and WMC suggested by Chidamber and Kemerer, the class that have highly the proposed metric value maintain the high complexity at the design phase too. And the complexity can be represented by CC and IC more than CBO and WMC. We can expect that our metrics may provide us the earlier feedback and hence possible to predict the efforts, costs and time required to remainder processes. As a result, we expect to develop the cost-effective OO software by reviewing the complexity of analysis classes in the first stage of SDLC(Software Development Life Cycle).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.45-51
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• 2012

대기부품은 대기기간 중에 우발적 고장이 발생할 수 있으며(type I failure), 해당상황이 장기간 방치되는 것을 방지하기 위해 주기적인 검사를 하는 것이 일반적이다. 그러나 검사가 대기기간 중 발생한 고장을 확인할 수 있게 하는 반면, 검사를 시작할 때 대기하던 부품에 부하를 가하는 과정에서 고장을 유발할 가능성이 존재하며(type II failure), 검사시간동안 대기부품을 작동시킴으로써 열화에 의한 고장발생(type III failure)의 가능성을 증가시키는 효과도 존재한다. 이에 본 논문은 주기적 검사정책을 갖는 대기부품을 대상으로 세 종류의 고장 가능성을 확률적으로 고려하여 성능분석을 실시하였으며, 성능을 평가하는 척도로 극한가용성을 사용하였다. 특히 type III failure를 고려하는 것은 기존에 연구되지 않은 부분으로 본 논문의 기여점이라 할 수 있겠다. 또한 수치해석을 통해 가용성의 관점에서 전술한 세 가지 유형의 고장특성과 검사주기와의 관계를 파악할 수 있도록 하였으며, 그 결과를 통해 높은 수준의 신뢰성 확보가 목적인 대기시스템의 효율적인 운영을 위한 의사결정시 도움이 될 수 있도록 하였다.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.93-116
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• 2010

Ensemble approach is applied to the detection modeling of illegal cash accommodation (ICA) that is the well-known type of fraudulent usages of credit cards in far east nations and has not been addressed in the academic literatures. The performance of fraud detection model (FDM) suffers from the imbalanced data problem, which can be remedied to some extent using an ensemble of many classifiers. It is generally accepted that ensembles of classifiers produce better accuracy than a single classifier provided there is diversity in the ensemble. Furthermore, recent researches reveal that it may be better to ensemble some selected classifiers instead of all of the classifiers at hand. For the effective detection of ICA, we adopt ensemble size reduction technique that prunes the ensemble of all classifiers using accuracy and diversity measures. The diversity in ensemble manifests itself as disagreement or ambiguity among members. Data imbalance intrinsic to FDM affects our approach for ICA detection in two ways. First, we suggest the training procedure with over-sampling methods to obtain diverse training data sets. Second, we use some variants of accuracy and diversity measures that focus on fraud class. We also dynamically calculate the diversity measure-Forward Addition and Backward Elimination. In our experiments, Neural Networks, Decision Trees and Logit Regressions are the base models as the ensemble members and the performance of homogeneous ensembles are compared with that of heterogeneous ensembles. The experimental results show that the reduced size ensemble is as accurate on average over the data-sets tested as the non-pruned version, which provides benefits in terms of its application efficiency and reduced complexity of the ensemble.

• Review of KIISC
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• v.32 no.1
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• pp.39-45
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• 2022

전자기기의 통신에 있어서 암호 시스템은 안전한 통신을 가능하게 해주는 주요 수단이다. 사물 인터넷과 같은 소형화된 전자기기가 등장함에 따라 기존에 사용하던 AES와 같은 암호 시스템은 소형 디바이스가 작동하는 저전력, 저면적 환경에서 동작하기에 큰 부담을 주게되었다. 이에 따라 다양한 경량 암호들이 제안되어 왔다. 2018년 NIST에서는 이러한 경량 암호의 표준화 작업을 위하여 공모사업을 시작하였고, 2021년 3월에 최종 후보 10종이 발표되었다. 최종 후보로 선택된 10종의 경량 암호의 구조는 향후 새로운 환경에서 사용 가능한 암호 알고리즘을 설계하거나 암호 시스템이 특정 환경에서 소비하는 자원을 가늠하는데 중요한 척도가 될 수 있다. 본 논문에서는 최종후보 10종에 대한 특징을 확인하고자 한다.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.5_6
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• pp.202-213
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• 2007

A network is an important model widely used in natural and social science as well as engineering. To analyze these networks easily it is necessary that we should layout the features of networks visually. These Graph-Layout researches have been performed recently according to the development of the computer technology. Among them, the Scale-free Network that stands out in these days is widely used in analyzing and understanding the complicated situations in various fields. The Scale-free Network is featured in two points. The first, the number of link(Degree) shows the Power-function distribution. The second, the network has the hub that has multiple links. Consequently, it is important for us to represent the hub visually in Scale-free Network but the existing Graph-layout algorithms only represent clusters for the present. Therefor in this thesis we suggest Graph-layout algorithm that effectively presents the Scale-free network. The Hubity(hub+ity) repulsive force between hubs in suggested algorithm in this thesis is in inverse proportion to the distance, and if the degree of hubs increases in a times the Hubity repulsive force between hubs is ${\alpha}^{\gamma}$ times (${\gamma}$??is a connection line index). Also, if the algorithm has the counter that controls the force in proportion to the total node number and the total link number, The Hubity repulsive force is independent of the scale of a network. The proposed algorithm is compared with Graph-layout algorithm through an experiment. The experimental process is as follows: First of all, make out the hub that exists in the network or not. Check out the connection line index to recognize the existence of hub, and then if the value of connection line index is between 2 and 3, then conclude the Scale-free network that has a hub. And then use the suggested algorithm. In result, We validated that the proposed Graph-layout algorithm showed the Scale-free network more effectively than the existing cluster-centered algorithms[Noack, etc.].

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.505-520
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• 2004

정부는 중소기업의 업무성과(업무처리의 신속성과 능력 향상, 정확한 자료관리, 고객 대응 능력 향상, 의사결정의 신속성)를 높이고자 하는 목표를 가지고 다양한 정보화사업을 시행하고 있다. 본 연구는 이러한 목적으로 2001년부터 산업자원부가 지원한 3만개 중소기업의 ERP(Enterprise Resource Planning) 시스템의 도입에 따른 업무성과에 영향을 미치는 요인들을 파악하고자 한다. 이를 위하여 설문조사를 실시하였으며, 총 1022개의 설문응답을 회수하였다. 설문의 업무성과 응답이 5점 서열척도임을 고려하여 이에 적합한 ordered probit 회귀분석을 실시하였다. 분석 결과는 모든 종속변수들과 유의한 관련성을 가지는 독립 변수는 사용용이성, 시스템 안정성, 정보의 정확성, 그리고 정보의 다양성으로 나타났다.

• Proceedings of the KOSOMBE Conference
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• v.1995 no.11
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• pp.63-67
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• 1995

신체 자세균형의 안정도를 반영하는 압력중심(COP)을 계측하기 위해 정삼각형 모양의 평형판 시스템을 설계, 제작하였고 그 유용성을 평가하였다. 재질로는 강도와 가공성이 뛰어난 듀랄루민을 사용하였고 압력중심(COP)의 위치를 계측하는 힘센 서로는 공업용 로드셀 3개를 사용하였다. COP신호를 검출하는 전자회로를 제작하여 실험한 결과 평형판의 COP 위치측정 오차는 2% 미만이었다. 시스템의 임상응용가능성을 평가하기 위하여 정상인 10명과 이학적 평가가 정상인 환자 4명을 대상으로 임상실험을 수행하였다. 자세안정도를 반영할 척도로써 COP신호의 표준편차($SD_x,\;SD_y,\;SD_r$)를 설정하여 자세가 불안정해짐에 따라, 그리고 시각의 영향이 배제됨에 따라 이 값들이 증가하는 것을 관찰하였다. 또한 환자의 경우에는 정상인과 현저한 차이를 보였다. 즉, 본 평형판시스템이 자세안정도를 정량적이고 예민하게 계측할 수 있음을 확인하였고 임상적 실용성을 검증하였다.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.11b
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• pp.583-589
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• 1996

원자력발전소에서 발생되는 방사성폐기물들은 폐기물형태 및 방사능 농도가 다양하며 영구처분장으로 이송전까지는 발전소내의 임시 저장고에 안전하게 보관, 관리하고 있다. 생성된 폐기물드럼내에는 감마방출핵종을 비롯하여 알파 및 베타방출 핵종들이 균질 또는 비균질하게 존재하고 있으며 방사능의 세기나 폐기물의 특성에 따라 안정화시키거나 압축처리하여 드럼에 담겨져 있기 때문에 일반적인 파괴분석에 의한 화학분석법으로는 작업자의 피폭, 시료의 대표성 선정 및 장시간의 화학처리 시간소요 등으로 핵종분석이 곤란하다. 따라서 본 논문은 일반적으로 감마핵종분석시 흔히 사용하고 있는 고순도게르마늄(HPGe) 검출기를 이용하여 드럼의 감마핵종농도를 분석하는 방법과 장치의 개발에 대해 언급하였으며 알파나 베타핵종과 같이 직접 분석이 곤란한 핵종들은 각 폐기물드럼내에 존재하는 Co-60이나 Cs-137과의 상관관계를 미리 예측한 척도인자 (scaling factor)를 이용하여 간접적으로 구하는 방법을 사용하고 있으나 본 논문에서는 드럼으로부터 감마핵종만을 분석하는 방법에 대해서만 언급하였다. 또한 핵종분석시스템의 최적 운전조건을 도출하기 위해 드럼회전테이블의 속도결정 및 모의드럼을 이용한 방사능측정 등을 통해 핵종 농도 분석시의 오차를 30% 이내로 유지할 수 있었다.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.554-561
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• 2022

Technology development related to maritime autonomous surface ships (MASS) is actively progressing around the world. However, since there are still many technically unresolved problems such as communication, cybersecurity, and emergency response capabilities, it is expected that it will take a lot of time for MASS to be commercialized. In this study, we proposed a ship group navigation system in which one leader ship and several follower ship are grouped into one group. In this system, when the leader ship begins to navigate, the follower ship autonomously follows the path of the leader ship. For path following, PD (proportional-derivative) control is applied. In addition, each ship navigates in a straight line shape while maintaining a safe distance to prevent collisions. Speed control was implemented to maintain a safe distance between ships. Simulations were performed to verify the ship group navigation system. The ship used in the simulation is the L-7 model of KVLCC2, which has related data disclosed. And the MMG (Maneuvering Modeling Group) standard method proposed by the Japan Society of Naval Architects and Ocean Engineering (JASNAOE) was used as a model of ship maneuvering motion. As a result of the simulation, the leader ship navigated along a predetermined route, and the follower ship navigated along the leader ship's path. During the simulation, it was found that the three ships maintained a straight line shape and a safe distance between them. The ship group navigation system is expected to be used as a navigation system to solve the problems of MASS.