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      • KCI등재

        인터넷 게임중독자의 성격 및 의사결정 방식

        김신희,창일 한국건강심리학회 2005 한국심리학회지 건강 Vol.10 No.4

        The purpose of this study was as followings. First, it was to recognize the differences of personality traits between addicted Internet games' group and control group. The personality traits have been consist of temperament and impulsiveness. Second, it was to identify the difference of decision-making traits between addicted Internet games' group and control group. The decision-making traits have been consist of executive function and Iowa Gambling Task. The results were as followings. First, addicted games' group were significantly high impulsivity than control group and the difference of novelty seeking among temperament was significant between addicted Internet games' group and control group. Second, the executive function in prefrontal lobe was not revealed the difference between addicted Internet games' group and control group. But it showed that decision-making deficits exhibited by addicted game users. Findings from this study show addicted game users shows that more impulsiveness and novelty seeking tendency than non addicted Internet game users. The addicted Internet game users's decision-making ability was more low than non addicted Internet game users. But the executive function's impairment were not revealed. That is, biological difference is not existed in prefrontal lobe's function. But these findings should be interpreted cautiously. It is needed more various neuropsychological testing implement afterward and clinicians must make a new treatment program for addicted games' uses.

      • KCI등재후보
      • KCI등재
      • KCI등재

        한국어 데이터 셋을 이용한 이미지 캡션에 대한 연구

        설현우,리스,권장우 한국재활복지공학회 2019 재활복지공학회논문지 Vol.13 No.4

        최근 딥러닝에 관심이 증가하면서 컴퓨터가 시각적 이미지를 인식하여 문장으로 표현하는 이미지 캡션에 대하여 연구가 활발히 진행되고 있다. 기존 이미지 캡션은 대다수 영어로 공개된 데이터 셋을 이용하여 하고 있으며, 한국어 이미지 캡션을 생성하기 위해서는 영어 데이터를 번역하여 사용하거나 이미지 캡션 결과를 번역하고 있다. 하지만 국내에서도 한국어 이미지 캡션 데이터를 최근에서야 제공하고 있지만 데이터의 적합성을 알 수 없다. 본 논문에서는 한국어 이미지 데이터를 이용하여 한국어 이미지 캡션을 생성하였으며, 기존 영어 데이터와 비교하여 신뢰성을 살펴본다. 언어평가모델을 사용하여 한국어 이미지 캡션을 평가한 결과 BLEU-1 75.9, BLEU-2 59.7, BLEU-3 47.0, BLEU-4 36.9를 보였다. 기존의 영어 데이터보다 높은 BLEU 점수를 확인할 수 있었다. 또한 정성적 평가를 추가로 진행하여 생성된 문장 캡션이 이미지에 대하여 적절한 상황정보를 포함하는 캡션을 생성하는 것을 확인할 수 있었다. Recently, as interest in deep learning has increased, researches have been actively conducted on image captions in which a computer recognizes a visual image and expresses it in a sentence. Existing image captions are mostly made using a data set published in English, and in order to generate Korean image captions, English data is translated or image caption results are translated. In Korea, however, Korean image caption data has been recently provided, but the suitability of the data is unknown. In this paper, Korean image caption is generated using Korean image data, and its reliability is compared with existing English data. As a result of evaluating the results of Korean image caption using the language evaluation model, BLEU-1 75.9, BLEU-2 59.7, BLEU-3 47.0, and BLEU-4 36.9 were shown. The BLEU score was higher than the existing English data. Further qualitative assessments were also conducted to confirm that the generated sentence captions produced create captions that contain appropriate contextual information about the image.

      • KCI등재

        시각장애인을 위한 딥러닝 기반 인물 위주 이미지 캡션 방법

        설현우,리스,권장우 한국재활복지공학회 2019 재활복지공학회논문지 Vol.13 No.2

        In this paper, we propose a system for visually impaired people to recognize visual characters and background in visual images by using deep learning. For people with visual impaired, since there is a limitation to viewing visual information such as place, action, character, etc. that appear in the video such as drama, movie or advertisement, they can only get those visual information from the Descriptive Video Service(DVS). However, screen commentary broadcasts are inconvenienced when the screenwriter collects the video information and writes the script, and the voice actor carries out the recording and the professional engineer of the screen commentary performs the video work. To improve this, the image is automatically segmented using the histogram, the characters are learned and classified by the person using CNN, and the image of the image is learned using the MSCOCO data set to describe the behavior and background of the image Captures image information. The image caption obtained from the above results can be confirmed to provide visual image information to the visually impaired by carrying out a qualitative evaluation comparing with the visual information in the image of the adult over 20 persons. 본 논문에서는 영상의 시각적인 정보를 딥러닝을 이용하여 시각장애인들에게 영상 내 등장인물과 배경을 인식하여 제공하는 시스템을 제안한다. 시각장애인들은 드라마, 영화, 광고 등 영상에서 장소, 행위, 등장인물 등 영상에 나타나는 시각적인 정보들을 제한적으로 시청하고 있어 시각적인 정보들을 화면해설방송을 사용하여 얻고 있다. 하지만 화면해설방송은 화면해설작가가 영상 정보를 수집하여 대본을 쓴 뒤 성우가 녹음을 진행하고, 화면해설 전문엔지니어가 영상 작업을 해야만 시청이 가능한 불편함을 갖는다. 이를 개선하고자 히스토그램을 이용하여 영상을 자동으로 분할하고, 등장인물들은 CNN을 이용하여 인물 별로 학습시킨 후 분류하며, 영상의 이미지를 MSCOCO 데이터 셋을 이용하여 학습시켜 이미지에 대한 행동, 배경들을 묘사한 정보를 이미지 캡션을 한다. 위의 결과를 통해 얻어진 이미지 캡션 결과에 대해서 20대 이상의 성인을 대상으로 영상내의 시각적인 정보와 비교하는 정성적 평가를 진행함으로서 시각장애인들에게 시각적인 영상 정보를 제공함을 확인할 수 있다.

      • SCOPUSKCI등재

        Singapore시민 및 집쥐의 신증후출혈열 병원체에 대한 혈청역학적 조사

        이호왕,유상렬,백락주,주용규,왕제와이,유정 대한바이러스학회 1991 Journal of Bacteriology and Virology Vol.21 No.1

        Korean hemorrhagic fever (KHF) came to the attention of Western medicine during the Korean War when it was a major source of morbidity and mortality among the United Nations troops in Korea. Clinically similar diseases to KHF have been known for several decades under different narnes in many regions of Euro-Asia continent. In 1982, the World Health Organization adopted the term Hemorrhagic fever with renal syndrome (HFRS) to designate KHF and other diseases with compatible clinical syndrome. The causative agent of KHF was first isolated in 1976 from the rodent Apodemus agrarius and in 1978 frorn patients sera from KHF by Lee and Lee. The agent was named Hantaan virus after Hantaan river in 1981 and also discovered another agent similar to Hantaan virus in house rat captured in Seoul city and named it Seoul virus. Geographically HFRS is sporadically epidemic throughout the Euro-Asia continent. HFRS has not been reported yet in tropical areas such as Singapore and Malaysia. Recent seroepidemiologic surveys show that agents antigenically similar to Hantaan virus are widely distributed throughout rnuch of the world, to a much greater geographic extent than previously recognized. This study was conducted for seroepidemiologic survey of sera from residents, laboratory rats and urban rats against the etiologic agent of HFRS in Singapore. The results are as follows : 1. 8 out of 261 patients of suspected Leptospirosis exhibit seropositive against Hantaan and Seoul viruses and one case was confirmed as HFRS patient. 4 out of 176 acute nephritis patients exhibit seropositive against Hantaan virus. 2. 143 (43.3%) out of 330 laboratory rats in Singapore University had antibodies to Hantaan virus, but 26 research workers who had worked in this laboratory showed seronegative. 3. 14 (24.6% ) out of 57 urban rats in Singapore city showed seropositive against Hantaan virus. Among 66 rats lungs were examined, one was found to have massive viral antigen in lung tissues. The above results indicate for the first time that virus similar to Hantaan virus or Seoul virus was distributed in house rats and laboratory rats in Singapore, and the possibility of existence of many HFRS patients in Singapore.

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