• 재활복지
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• 제21권4호
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• pp.1-31
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• 2017

본 연구는 청각장애인에게 보다 유용한 수화언어통역서비스를 발전시키기 위한 방안을 모색하는데 목적을 두고, Q방법을 활용하여 청각장애인의 수화언어통역에 대한 다양한 주관적 인식 유형을 파악하고자 하였다. 이를 위해 선행 연구들과 심층 인터뷰를 바탕으로 39개의 진술문을 추출하고, 청각장애인 20명에 대한 Q분류를 시행하였다. 연구결과, 청각장애인이 많이 이용하는 기관에 수화통역사를 배치하는데 대한 공통 인식 분석과 함께, '수화언어통역의 전문화 추구형', '전통적인 수화언어통역서비스 추구형', '수화언어통역서비스 확대 및 개선 추구형' 등 차별화된 3가지 인식 유형을 도출하였다. 이에 근거하여 주요 공공시설에 수화통역사 상주화 방안, 수화통역사 자격제도 및 교육훈련과정의 개선 방안, 영역별 전문화와 수화언어통역서비스 형태의 개선 방안, 고령층에 차별화된 서비스 제공, 수화언어통역 이용자의 욕구를 반영한 수화통역사 배치 등의 개선 방향을 제안하였다.

• Hip & pelvis
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• 제30권4호
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• pp.269-275
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• 2018

Purpose: The purpose of this study is to describe a method of inserting cement in the femoral head before fixation with dynamic hip screw to prevent screw cut out due to osteoporosis and to evaluate its clinical outcome in these patients. Materials and Methods: In this prospective study, 30 patients aged 60 years and older with intertrochanteric fracture were included. Bone mineral density was measured. After reaming of the femoral head and neck with a triple reamer and polymethyl methacrylate, bone cement was introduced into the femoral head using a customized nozzle and a barrel fitted on a cement gun. A Richard screw was inserted and the plate was fixed over the femoral shaft. Patients were mobilized and clinical outcomes were rated using the Salvati and Wilson's scoring system. Results: More patients included in this study were between 66 and 70 years old than any other age group. The most common fracture according to the Orthopaedic Trauma Association classification was type 31A2.2 (46.7%). The T-score was found to be $-2.506{\pm}0.22$ (mean${\pm}$standard deviation); all patients were within the range of -2.0 to -2.8. The duration of radiological union was $13.67{\pm}1.77$ weeks. Salvati and Wilson's scoring at 12 months of follow up was $30.96{\pm}4.97$. The majority of patients were able to perform their normal routine activities; none experienced implant failure or screw cut out. Conclusion: Bone cement augmentation may effectively prevent osteoporosis-related hardware complications like screw cut out in elderly patients experiencing intertrochanteric fractures.

• 한국인터넷방송통신학회논문지
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• 제21권3호
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• pp.99-105
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• 2021

넥플릭스,유튜브로 대표되는 OTT 동영상 제작 서비스에 인공지능으로 콘텐츠를 개인별 맞춤식 추천 시스템은 보편화 되었다. 유튜브의 개인별 맞춤 추천서비스 시스템은 두 개의 신경망으로 구성되는데 신경망 하나는 추천 후보생성 모델이고 다른 하나는 순위평가 네트워크로 구성된다. Netflix의 동영상 추천 시스템은 두 개 데이터 분류 시스템으로 구성되어 있으며 콘텐츠 기반 필터링과 협업 필터링으로 나누어진다. 코로나 펜데믹으로 온라인 플랫폼 주도의 콘텐츠 제작이 활성화 되면서 인공지능을 활용한 가상 인플루언서 분야가 부각되고 있다. 가상인플루언서는 GAN(Generative Adversarial Networks) 인공지능으로 제작되는데 성격이 다른 두 시스템이 서로 경쟁하는 방식으로 학습이 반복되는 비교사(Unsupervised) 학습 알고리즘이다. 이 연구는 AI 개인별 추천 기반 플랫폼과 가상인플루언서(메타버스)가 향후 OTT의 핵심콘텐츠로의 발전 가능성도 연구해 보았다.

• Journal of Dental Anesthesia and Pain Medicine
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• 제21권2호
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• pp.99-111
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• 2021

Background: Attention deficit hyperactivity disorder (ADHD) is characterized by a persistent pattern of inattention and/or hyperactivity-impulsivity that interferes with functioning or development. It has a worldwide pooled prevalence of 5.29%. The characteristics of ADHD can increase the probability of dental treatment, while special behavior management can be required to allow proper treatment. In South Korea, the use of sedation in dental treatment has rapidly increased in recent decades. The present study aimed to investigate the trend and effects of sedation in patients with ADHD undergoing dental treatment in South Korea. Methods: The study used customized health information data provided by the Korean National Health Insurance Service. Among patients with the record of sedative use during the period from January 2007 to September 2019, those with International Classification of Diseases-10 codes for ADHD (F90, F91) were selected; the data of their overall insurance claims for dental treatment were then analyzed. The patients' age, gender, sedative use, and dental treatment were analyzed per year. The annual number of general anesthesia or sedation cases was also analyzed, and changes in the method of behavior management with increasing age were examined. Results: The study involved 7,654 patients with ADHD (6,270 males; 1,384 females). The total number of dental treatments was 137,778, while the number of sedation cases was 16,109, among which 13,052 involved male patients and 3,057 female patients. The number of general anesthesia cases was 631, among which 538 involved male patients and 93 female patients. The most frequently used sedation method in the dental treatment of patients with ADHD was N2O inhalation. The percentage of sedation cases was highest in patients aged 4 years, and it decreased with increasing age. Conclusion: In South Korea, both sedation and dental treatments were slightly more common in patients with ADHD than in the general population. With increasing age, the frequency of dental treatments and the percentage of sedation cases decreased.

• Journal of Preventive Medicine and Public Health
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• 제55권1호
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• pp.19-27
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• 2022

This study estimated the direct and indirect socioeconomic costs of 238 diseases and 22 injuries from a social perspective in Korea from 2007 to 2015. The socioeconomic cost of each disease group was calculated based on the Korean Standard Disease Classification System. Direct costs were estimated using health insurance claims data provided by the National Health Insurance Service. The numbers of outpatients and inpatients with the main diagnostic codes for each disease were selected as a proxy indicator for estimating patients' medical use behavior by disease. The economic burden of disease from 2007 to 2015 showed an approximately 20% increase in total costs. From 2007 to 2015, communicable diseases (including infectious, maternal, pediatric, and nutritional diseases) accounted for 8.9-12.2% of the socioeconomic burden, while non-infectious diseases accounted for 65.7-70.7% and injuries accounted for 19.1-22.8%. The top 5 diseases in terms of the socioeconomic burden were self-harm (which took the top spot for 8 years), followed by cirrhosis of the liver, liver cancer, ischemic heart disease, and upper respiratory infections in 2007. Since 2010, the economic burden of conditions such as low back pain, falls, and acute bronchitis has been included in this ranking. This study expanded the scope of calculating the burden of disease at the national level by calculating the burden of disease in Koreans by gender and disease. These findings can be used as indicators of health equality and as useful data for establishing community-centered (or customized) health promotion policies, projects, and national health policy goals.

• 한국인터넷방송통신학회논문지
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• 제23권3호
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• pp.193-198
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• 2023

딥러닝을 이용한 학습자 맞춤 강의 추천 프로젝트를 연구한다. 추천시스템은 웹과 앱에서 쉽게 발견할 수 있으며 이 특성을 이용한 예제는 사용자 클릭으로 특성 영상 추천과 SNS에서 평소 사용자가 관심 있던 분야의 아이템을 광고하는 것이 있다. 본 연구에서는 문장 유사도인 Word2Vec를 주로 이용하여 2번의 필터링을 거쳤으며 Surprise 라이브러리를 통해 강좌 추천을 하였다. 이러한 시스템으로 사용자에게 간편하고 편리하게 원하는 분류의 강좌 데이터를 제공한다. Surprise 라이브러리는 Python scikit-learn 기반의 라이브러리이며 추천시스템에 편리하게 사용된다. 데이터를 분석하여 시스템을 빠른 속도로 구현하고 딥러닝을 사용하여 강좌 단계를 거쳐 보다 더 정밀한 결과를 구현해낸다. 사용자가 관심 있는 키워드를 입력하면 해당 키워드와 강좌 제목과의 유사도를 실행하고 추출된 영상 데이터로 또 음성 텍스트와의 유사도를 실행하여 추출된 데이터로 Surprise 라이브러리를 통해 가장 높은 순위의 영상 데이터를 추천한다.

• 한국비블리아학회지
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• 제34권2호
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• pp.93-114
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• 2023

자기주도적 창의교육을 중시하는 교육 패러다임에 따라 학생들의 학습을 지원하는 주요한 공적 기관인 학교도서관과 공공도서관은 교과연계프로그램을 통한 자기주도적 학습 지원을 주요 업무로 강조하고 있다. 자기주도적 학습을 위해서는 학습자 중심의 교육 지식정보 제공이 필수적이며, 교과서에 반영된 교육과정을 심화·확장할 수 있는 교과서 연계 참고자료가 풍부하게 확보되어야 한다. 이 연구에서는 우선 초등학교 교과과정을 분석하여 도서관 자료를 적극적으로 활용하거나 확장하고자 하는 정보요구가 큰 주요 교과를 식별하고, 도서관 컬렉션 및 분류체계와 연계할 중점 매핑 포인트를 설정하였다. 각 교과의 학습주제 및 교과연계도서의 서지정보와 함께 한국십진분류법(KDC)의 분류표목 및 상관색인의 도입어를 참조하여 학습주제와 연관된 분류항목을 파악하였다. 이를 바탕으로, 학생들에게 친숙하지 않은 KDC 체계를 초등학교 주요 교과의 단원을 중심으로 재구성하여 학습자 중심의 교과서 연계 서지정보 및 주제정보를 구축하였다. 이를 통해 도서관은 교과과정의 학습주제를 중심으로 이용자별로 타겟화된 도서관 콘텐츠와 초등학교 교육콘텐츠를 연계함으로써 온라인 환경에서 초등학생의 자기주도적 창의학습 지원을 강화할 수 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제32권1호
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• pp.109-146
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• 2023

Purpose With Intelligent public service (IPS), it is possible to automate the quality of civil affairs, provide customized services for citizens, and provide timely public services. However, empirical studies on factors for the successful use of IPS are still insufficient. Hence, the purpose of this study is to empirically analyze the factors that affect the success of IPS with classification function. ISSM (Information System Success Model) is considered as the underlying research model, and how the algorithm quality, data quality, and environmental quality of the discrimination system affect the relationship between utilization intentions is analyzed. Design/methodology/approach In this study, a survey was conducted targeting users using IPS. After giving them a preliminary explanation of the intelligent public service centered on the discrimination system, they briefly experienced two types of IPS currently being used in the public sector. Structural model analysis was conducted using Smart-PLS 4.0 with a total of 415 valid samples. Findings First, it was confirmed that algorithm quality and data quality had a significant positive (+) effect on information quality and system quality. Second, it was confirmed that information quality, system quality, and environmental quality had a positive (+) effect on the use of IPS. Thirdly, it was confirmed that the use of IPS had a positive (+) effect on the net profit for the use of IPS. In addition, the moderating effect of the degree of knowledge on AI, the perceived accuracy of discriminative experience and IPS, and the user was analyzed. The results suggest that ISSM and TOE framework can expand the understanding of the success of IPS.

• 한국위험물학회지
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• 제2권1호
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• pp.31-37
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• 2014

Since the unprecedented hydrogen fluoride leak accident in 2012, there has been growing demand for customized technical information for rapid response and chemical accident management agencies including the Ministry of Environment, the National Emergency Management Agency, and the National Police Agency need more information on chemicals and accident management. In this regard, this study aims to provide reliable technical data and guidelines to initial response agencies, similar to accident management technical reports of the US and Canada. In this study, we conducted a questionnaire survey and interviews on initial response agencies like fire stations, police stations, and local governments to identify new information items for appropriate initial response and improvements of current guidelines. We also collected and reviewed the Canada's TIPS, US EPA's hydrogen fluoride documents, domestic and foreign literature on applicability tests of control chemicals, and interview data, and then produced items to be listed in the technical guidelines. In addition, to establish database of on-site technical information, we carried out applicability tests for accident control data including ① emergency shut down devide, safety guard, shut down valve, ground connection, dyke, transfer pipe, scrubber, and sensor; ② literature and field survey on distribution type and transportation/storage characteristics (container identification, valve, ground connection, etc.); ③ classification and identification of storage/transportation facilities and emergency management methodslike leak prevention, chemicals control, and cutoff or bypass of rain drainage; ④ domestic/foreign analysis methods and environmental standards including portable detection methods, test standards, and exposure limits; and ⑤ comparison/evaluation of neutralization efficiency of control chemicals on toxic substances.

• 한국융합학회논문지
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• 제11권11호
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• pp.9-17
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• 2020

본 논문에서는 개인의 성향을 추출하기 위한 딥러닝 기반의 SNS 리뷰 분석 방법을 제안한다. 기존의 SNS 리뷰 분석 방법은 대부분이 가장 높은 가중치를 기반으로 처리되기 때문에 여러 관심사에 대한 다양한 의견을 반영하지 못하는 문제점이 있다. 이를 해결하기 위해 제안된 방법은 음식을 대상으로 한 SNS의 리뷰에서 사용자의 개인적인 성향을 추출하기 위한 방법이다. YOLOv3 모델을 사용하여 분류체계를 작성하고, BiLSTM 모델을 통해 감성분석을 수행한 후 집합 알고리즘을 통해 다양한 개인적 성향을 추출한다. 실험 결과, YOLOv3 모델의 경우 Top-1 88.61%, Top-5 90.13%의 성능을 보여주었으며, BiLSTM 모델의 경우 90.99%의 정확도를 보여주었다. 또한, SNS 리뷰 분류에서의 개인 성향에 대한 다양성을 히트맵을 통해 시각화하여 확인하였다. 향후에는 다양한 분야에서의 개인 성향을 추출하여 사용자 맞춤 서비스나 마케팅 등에 활용될 것으로 기대된다.