• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.71-72
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• 2009

• Proceedings of the Korea Database Society Conference
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• 2000.11a
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• pp.309-322
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• 2000

컴포넌트 개발에 보편화 추세에 있어서 이에 따른 노력도 산정 모델의 개발이 시급하지만 아직까지 간편하게 사용할 수 있는 모델이 없는 것이 현실이다. 따라서 본 연구는 그에 대한 기반을 마련하기 위하여 컴포넌트 기반에 관련된 개발 노력도 산정 모델을 살펴보고자 한다 기존의 개발의 노력도 산정 모델로 주로 사용하고 있는 모델로는 COCOMO중심의 모델, 기능점수 중심의 모델, 그리고 상용 컴포넌트(COTS) 중심의 모델로 나누어 볼 수 있으며, 각각의 중심 모델을 비교하여 컴포넌트기반(CBD)에서 활용 가능한 모델들을 살펴보기로 한다.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2807-2809
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• 2001

본 논문에서는 웹기반 쇼핑몰에서 사용자들에게 새로운 상품을 추천하는 시스템을 제안한다. 추천시스템이란 사용자의 필요와 취향을 고려하여 그에게 적합한 새로운 상품이나 대신할만한 상품 등을 추천하는 시스템이다. 지금까지 제안된 대부분의 추천시스템들은 협력적인 필터링 기법을 쓰고 있는데, 이러한 시스템의 경우 사용자들의 선호도 점수 정보가 부족하면 정확한 추천결과를 기대할 수 없다. 본 논문에서는 내용기반 필터링 기법을 협력적 필터링 기법과 함께 사용하여 이와 같은 문제를 해결하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.364-367
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• 2020

오디오 캡셔닝(Audio Captioning)은 시스템이 입력으로 오디오 신호를 받아들이고 해당 신호의 텍스트 설명을 출력하는 중간 번역 작업이다. 이 논문에서는 컨볼루셔널 뉴럴 네트워크(CNN), 트랜스포머의 딥러닝 알고리즘을 사용하여 주변 환경 소리에 대한 오디오 캡셔닝을 자동으로 수행하고 한글화된 출력 결과를 제공하는 모델을 제시한다. 본 연구 결과, 모델의 성능 평가 척도인 SPIDEr 점수는 0.1977이 나왔다.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.315-328
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• 2017

Even though assessment using information and communication technology will most likely lead the future of educational assessment, there is little domestic research on this topic. Computerized assessment will not only cut costs but also measure students' performance in ways not possible before. In this context, this study introduces a tool which can overcome the problems of multiple choice tests, which are most widely used type of assessment in current Korean educational setting. Multiple-choice tests, in which options are presented with the questions, are efficient in that grading can be automated; however, they allow for students who don't know the answer, to find the correct answer from the options. Park(2005) has developed a modified multiple-choice testing system (CMMT) using the interactivity of computers, that presents questions first, and options later for a short time when the student requests for them. The present study was conducted to find out if penalizing wrong answers could lower the possibility of students choosing an answer among the options when they don't know the correct answer. 116 students were tested with the directions that they will be penalized for wrong answers, but not for no response. There were 4 experimental conditions: 2 conditions of high or low percentage of penalizing, each in traditional multiple-choice or CMMT format. The results were analyzed using a two-way ANOVA for the number of no response, the test score and self-report score. Analysis showed that the number of no response was significantly higher for the CMMT format and that test scores were significantly lower when the penalizing percentage was high. The possibility of applying CMMT format tests while penalizing wrong answers in actual testing settings was addressed. In addition, the need for further research in the cognitive sciences to develop computerized assessment tools, was discussed.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.1
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• pp.47-52
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• 2005

The context-aware retrieval method is one of the fundamental characteristics in ubiquitous computing. The essential aims of context-aware retrieval method are retrieving relevant information and delivering information quickly. We propose a new method that retrieves relevant information and delivers information quickly using characteristics of levelized contexts. We extract rules and recommendation information in the near future using context values and rules. Then we prefetch recommendation information in very near future using access score. Our method retrieves relevant information and deliver information quickly by storing only recommendation information to be needed in near future using the characteristics of levelized contexts.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.374-384
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• 2018

This study examined the effects of clarification training on conversational breakdowns and repair strategies of 3 school aged children with ASD. Clarification training provided to the participants during playing the barrier games. The results found that the occurrence of conversational breakdown was decreased in terms of overall and types. The occurrence and appropriateness rates of repair strategies were increased among all participants. Based on the results, 'clarification training' used in this study can be an effective method to train children with ASD for appropriate repair strategies in conversation.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.27-42
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• 2004

The objectives of this study were to investigate the effects of individualized instruction on students' achievement, course interest, attitude in Homepage Development lesson. A total of 204 eighth-graders in a girls' middle school participated in the study. The results showed that the individualized group made significantly greater achievement and revealed higher course interest than the traditional group. Subjects in the individualized group also had more positive attitudes toward the instructional program than did the traditional group. Prior computer experience didn't have significant interaction effects between the teaching methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.723-728
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• 2022

This study is a method for evaluating and quantifying driver's dangerous driving behavior. The quantification method calculates various driving information in real time after starting the vehicle operation such as the time that the vehicle has been continuously driven without a break, overspeed, rapid acceleration, and overspeed driving time. These quantified risk of driving behavior values can be individually provided as a safe driving index, or can be used to objectify the evaluation of a group of drivers on roads, or vehicle groups such as cargo/bus/passenger vehicles.

• Korean Journal of Psychosomatic Medicine
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• v.20 no.2
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• pp.98-104
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• 2012

Objectives : This study aimed to investigate the correlations between neurological and psychiatric symptoms at two weeks after stroke. Methods : For 412 stroke patients, stroke severity was evaluated by the National Institutes of Health Stroke Scale(NIHSS), disability by the Barthel Index(BI) and modified Rankin Scale(mRS), cognitive function by the Korean Mini-Mental State Examination(K-MMSE), and muscle power by grip strength. Psychiatric symptoms were assessed by Symptom check list-90-Revision(SCL-90-R), consisted of nine symptom domains : Somatization, Obsessive-compulsive, Interpersonal sensitivity, Depression, Anxiety, Hostility, Phobic anxiety, Paranoid ideation, Psychoticism, and Additional items. The correlations between the neurological and psychiatric symptoms were investigated at the time of admission and before discharge(i.e. before and after treatment). Results : At the time of admission, NIHSS score was associated with scores on Phobic anxiety and Additional items ; and scores on BI and mRS were associated with Depression, Phobic anxiety and Additional items. At the time of discharge, NIHSS score was associated with scores on Somatization, Depression, Phobic anxiety, and Additional items ; scores on BI and mRS were associated with scores on Depression, Phobic anxiety and Additional items ; MMSE score was associated with Obsessive-compulsive, Depression, Phobic anxiety, and Additional items ; and grip strength was associated with Somatization, Depression, Anxiety and Additional items. Conclusions : More severe neurological symptoms were associated with higher psychiatric morbidity particularly in depression, phobic anxiety, sleep and appetite disturbance at acute stage of stroke. More intensive psychiatric care and intervention are needed for the high risk group.