• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.977-980
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• 2010

기업내부에 존재하는 비즈니스 룰은 정형화되고 집중화된 하나의 시스템으로 구축되어 있는 것이 아니라 여러 서브시스템이나 실무자의 경험속에 산재되어 존재한다. 산재되어 존재하는 비즈니스 룰을 정형화된 형태로 집중관리가 가능하도록 구축한 도구가 BRE(Business Rule Engine)이다. BRE는 비즈니스 룰 관리를 빠르고 용이하게 하여, 기업의 경쟁력 향상에 매우 효과적인 기여를 한다. 하지만 BRE도입시 고려해야 할 품질특성을 판단할 뚜렷한 기준을 가지고 있지 못 하기 때문에 고가의 솔루션인 BRE도입에 많은 어려움을 겪고 있다. 본 연구에서는 국제 표준 ISO/IEC 9126를 기반으로 BRE가 갖추어야 할 품질특성을 정의하고 BRE 도입시 고려해야 할 품질특성을 판단할 수 있는 판별분석기법을 통해 BRE를 명확히 이해할 수 있는 품질평가모델을 제시함으로서 이러한 문제를 해결하고자 한다. 또한 본 연구의 결과는 실제 구축된 BRE 사례들에 대해 판별분석기법을 통해 검증하며, 검증된 품질평가모델의 활용방안을 제시한다.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.366-381
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• 2017

This study was conducted in order to evaluate validity and reliability of the Korean version scale to measure maternal satisfaction in normal birth(KSMMS-normal birth). The SMMS-normal birth was administered to 205 postnatal women, together with the perception of birth experience scale. An exploratory factor analysis revealed six factors solution for the twenty three-item scale. Confirmatory factor analysis supported good convergent and discriminant validities, and factor correlations ranged from 0.11 to 0.57. The KSMMS-normal birth showed good concurrent validity with the perception of birth experience scale. The Cronbach alpha for the total scale was .91. It ranged between .80 to .90 for six subscales. The KSMMS-normal birth is reliable and valid instrument to measure maternal satisfaction. Therefore this scale can be used to assess maternal satisfaction in normal birth at hospital during the postpartum 2nd and 3rd day.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.191-199
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• 2019

In this paper, we propose to develop a diagnosis tool for measuring digital competence for university student. To this end, 223 students participated for the survey research. Based on the survey by 6 domain and 40 questions, 6 factors and 18 questions for digital competence measurement were drawn throughout the factors analysis. The results of the confirmatory factor analysis showed the fact that 6 factors and 18 questions that satisfied the model-fit indexes statistically were finally confirmed. And the developed tool demonstrated good results in reliability and validity verification, which were suitable for measuring digital competence for university students. The developed measurement tool of digital competence for university students consisted of 6 sub-components such digital device operation, communication and collaboration, information searching, processing, and management, problem solving and learning, security, digital ethics. The digital competence measuring tool developed in this study is expected to be used to identify the current level of competences for university student, and to enhance their own digital competences through educational supports.

• Convergence Security Journal
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• v.7 no.2
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• pp.91-100
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• 2007

Nowadays, there exist many forensic tools in forensic investigation. For common investigator it may cause some difficulty in handling the existing forensic tools. In case of urgent condition, if it takes long time to get the useful evidence from data, then it makes the investigation process difficult. Thus, the common investigator can collect the evidence easily by simple clicking the mouse. The only thing he needs is a tool for examination before investigating in details. Therefore, in this paper we refer to useful information in the forensic investigation, discuss the design and the implementation of tool.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.370-377
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• 2013

Traumatic brain injury(TBI) is a brain damage caused by an external physical force. TBI patients have disturbances of functioning including attention, memory, reasoning,, executive function, and pragmatic language. The aim of this study was to develop the cognitive-pragmatic language ability assessment protocol for traumatic brain injury(CAPTBI) and to evaluate reliability and validity. This study was also conducted to investigate domains that contributed to differentiate between the normal and TBI groups. The CAPTBI data were obtained from 226 normal adults and 62 TBI patients(mean age=$43.95{\pm}11.92$, $46.37{\pm}11.87$, M:F=110:116, 48:14). The CAPTBI had high item internal consistency, test-retest reliability, construct validity, and concurrent validity. The normal group performed significantly better than the TBI group in all domains of the CAPTBI and the separate scores for 9 domains. All 9 domains were found to be significant variables to discriminate between the two groups. The most powerful variable was executive function followed by memory, organization, pragmatic language, problem-solving, attention, orientation, reasoning, and visuoperception in order. The CAPTBI could discriminate between the two groups accurately by 95.5%. This result demonstrated that 97.3% of normal adults and 88.7% of TBI patients could be discriminated by CAPTBI. In conclusion, The CAPTBI is appropriate for evaluating and identifying cognitive-pragmatic language disorders in TBI patients.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.465-473
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• 2017

The purpose of this study was to verify the validity of the developed evaluation method for competition intelligence of sport talented children of of Kim et al.(2015). For this purpose, total 3 times of observation by sports leaders were accomplished for evaluation of competition intelligence. After finishing final observation, the correlation between the sub-factors(practice intelligence, learning intelligence, and training intelligence) and gifted students' physical fitness and KOSTASS were examined. First, as the reliability, the correlations between leaders' observation results were significantly higher than 0.8 in all sub-factors. Second, all sub-factors of competition intelligence showed significant positive correlation with in standing jump, 50m dash and side step test improvement(p<.05). Third, all sub-factors showed no significant correlation with KOSTASS(p>.05). These results showed that the evaluation tool by Kim et al.(2015) didn't not fully reflect the improvement level of basic physical fitness factors of the gifted students. However, the results of correlation between physical fitness factors requiring technical learning process showed that the gymnastic gauging tools included learning process and task acquisition level.

• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.123-127
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• 2000

인터넷이 데이터 저장 및 서비스를 위한 도구로 폭넓게 활용되고 있으며, 이 과정에서 웹 서버 방문객에 대한 정보인 로그가 발생된다. 이러한 로그는 방문객 주소, 참조 페이지, 방문 시각 등의 정보를 포함하고 있다. 웹 로그에 대하여 패턴분석(pattern analysis), 군집분석(clustering), 판별분석(classification) 등의 통계적 분석을 통하여 방문객이 관심을 가지는 항목이나 항목간의 연관관계 등 새로운 정보를 생성하여 웹 디자인 또는 비즈니스에의 적용에 대한 연구가 활발히 논의되고 있다. 본 연구에서는 웹 로그 분석에 대하여 소개하고 웹 로그 분석을 위한 방안을 제시하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.67-69
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• 2002

레거시 시스템은 수년간 기업에서 많은 노력과 투자하여 개발되어 왔으며 현재는 기업의 중요한 자산으로 여겨지고 있다. 하지만 수많은 수정을 거치면서 시스템은 점차 비구조화 되어지고 그에 따른 문서화 작업이 제대로 이루어지지 않았으며, 과거의 중앙 집중적인 메인 프레임환경을 웹과 같은 분산 환경으로 이전하고자 하는 비즈니스 요구사항이 점차 증대되고 있다. 본 논문에서는 레거시 시스템을 컴포넌트 래핑 기술을 이용하여 엔터프라이즈 자바 빈(EJB)으로 생성하는 지원도구 개발의 일환인 레거시 컴포넌트 식별 기법을 소개한다. 제안된 식별 기법은 비즈니스 로직을 변수 분류(Variable Classification), 슬라이싱 판별 기준, 워크플로워 분석을 이용한 레거시 컴포넌트 후보를 식별하는 방법을 제시한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.3
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• pp.75-81
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• 2007

Recently the subject of "wavelet analysis" has be drawn by both mathematical and engineering application fields such as Signal Processing, Compression/Decomposition, Wavelet-Neural Network, Statistics and etc. Even though its similar to Fourier analysis, wavelet is a versatile tool with much mathematical content and great potential for applications. Especially, wavelet transform uses localizable various mother wavelet functions in time-frequency domain. Therefore, wavelet transform has good time-analysis ability for high frequency component, and has good frequency-analysis ability for low frequency component. Using the discriminative ability is more easy method than other conventional techniques. In this paper, Morlet wavelet transform was applied to discriminate the kind of line fault by acquired data from real power transformation network. The experimental result presented that Morlet wavelet transform is easier, and more useful method than the Fast Fourier Transform(FFT).

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.115-121
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• 2005

In the present internet environment, various traffic flooding attacks and worm attacks cause economical loss. If IPv4 is substituted by IPv6 because of the lack of IP address, it will be more serious. Therefore, we design and implement the traffic analysis tool which can detect attacks by expecting them encountered in the IPv6 environment. Proposed tool is composed of packet generation module, packet gathering module, discrimination module, and display module in X-windows. As a simulation result, it is proved that it can effectively detect DAD-NA message attack, TCP SYN flooding attack, UDP flooding attack and ICMP flooding attack in the IPv6 environment.