• 한국건설관리학회논문집
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• 제19권4호
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• pp.34-42
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• 2018

공동주택은 국민 대다수가 선호하는 대표적인 주거양식으로 자리매김한 반면, 완공된 공동주택의 기초 골조 설비 마감 및 조경 등의 수많은 구조체와 마감재에서 균열 침하 파손 누수 결로 및 탈락 등의 다양한 결함이 발생하여 하자없는 신축 공동주택을 원하는 입주자와 하자가 발생하는 것은 불가피하다고 주장하는 사업주체간에 분쟁이 지속적으로 발생하고 있다. 이러한 하자분쟁은 입주자와 건설업체 모두에게 경제적 손실을 발생시킨다. 이러한 관점에서 본 논문에서는 하자분쟁사례를 활용하여 공종별 각 보증기간의 하자보수 빈도 및 비용을 분석하고, 이를 종합하여 공종별 각 보증기간의 하자보수위험을 평가하여 하자보수보증금 산정에 대한 시사점을 도출하는 것을 목적으로 한다. 이를 위해 본 논문에서는 준공 이후 10년 이상된 공동주택 하자분쟁사례 32건, 5337개의 하자아이템을 활용하여 공종별 각 보증기간의 하자보수위험을 평가하였다. 하자빈도와 하자비용을 종합하여 공종별 하자보수보증기간의 하자비용을 분석한 결과, 철근콘크리트공사와 마감공사의 하자위험이 매우 높은 것으로 파악되었다. 이는 결국 하자보수보증금이 일률적으로 연차별로 배분되어 있는 것에 문제점이 있음을 나타낸다. 또한 하자보수보증금의 경과년수에 따른 반환비율과 경과년수에 따른 하자위험을 비교한 결과, 기존 반환비율에 대한 조정이 필요할 것으로 나타났다.

• 한국멀티미디어학회논문지
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• 제24권12호
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• pp.1624-1631
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• 2021

With the continued development of image processing technology, we live in a time when it is difficult to visually discriminate processed (or tampered) images from real images. However, as the risk of fake images being misused for crime increases, the importance of image forensic science for identifying fake images is emerging. Currently, various deep learning-based identifiers have been studied, but there are still many problems to be used in real situations. Due to the inherent characteristics of deep learning that strongly relies on given training data, it is very vulnerable to evaluating data that has never been viewed. Therefore, we try to find a way to improve generalization ability of deep learning-based fake image identifiers. First, images with various contents were added to the training dataset to resolve the over-fitting problem that the identifier can only classify real and fake images with specific contents but fails for those with other contents. Next, color spaces other than RGB were exploited. That is, fake image identification was attempted on color spaces not considered when creating fake images, such as HSV and YCbCr. Finally, dropout, which is commonly used for generalization of neural networks, was used. Through experimental results, it has been confirmed that the color space conversion to HSV is the best solution and its combination with the approach of increasing the training dataset significantly can greatly improve the accuracy and generalization ability of deep learning-based identifiers in identifying fake images that have never been seen before.

• 대한심미치과학회지
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• 제29권1호
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• pp.4-12
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• 2020

Laminate veneer는 전부도재 크라운 보다 전.구치 포함 적용범위는 매우 넓다. 또한 치관 형성시 요구되는 시간이 단축되며 침습 또한 적은 장점이 있다. 그러므로 치은에도 우수한 심미성과 기능개선을 가능하게한다. 환자의 고통과 치질손실의 부담도 훨씬 줄일 수 있으므로 앞으로도 잔존 자연치아의 심미성과 기능개선의 중요한 역할을 담당할 것이라 생각한다.

• 농촌의학ㆍ지역보건
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• 제27권1호
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• pp.155-164
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• 2002

본 연구는 일개 보건지소에 등록된 고혈압 환자의 치료율 및 관리율을 구하고 치료지속성과 관련성이 있는 변수를 파악하고 치료중단 이유를 조사하기 위하여 2000년 11월 이전에 군남면 보건지소에 등록되어 치료받고 있는 고혈압 환자 295명을 대상으로 하여, 의무기록조사와 전화설문조사를 병행하여 실시되었다. 그 결과는 다음과 같다. 1. 대상자 295명중 남자가 108명(36.6%), 여자가 187명 (62.7%)이었으며 평균연령은 남자 64.6세, 여자 66.3 세로 여성에서 더 높았다(p<0.05). 2. 대상자의 54.9%가 지속적인 치료를 받는 것으로 조사되었고, 간헐적 치료군이 19.3%, 치료중단군이 25.8%였다. 3. 성, 연령, 의료보장, 거주지 등 연구대상자의 특성중 거주지로부터 보건지소까지 이동시 소요되는 시간만이 치료지속성과 통계적으로 유의한 관련성이 있었다(p<0.01). 3. 치료중단의 이유로는 증상 또는 몸의 불편함이 없어서가 23.9%를 차지하였고 그 다음으로 타의료기관 이용(18.4%), 교통의 불편(17.9%), 약국 이용(14.9%), 거동 불가능(7.5%), 경제적인 이유(6.0%), 보건지소 서비스에 불만족(4.4%) 순이었다. 4. 전체 대상자 295명의 평균 치료혈압은 $144.9{\pm}12.9/86.9{\pm}8.6mmHg$이었고, 이들 중 평균 치료혈압 이 140/90mmHg 미만으로 적절히 조절되는 환자는 32.5%였다. 이러한 연구결과를 종합해 볼 때, 보건지소 고혈압 환자들의 낮은 치료율, 관리율을 개선하기 위해서는, 적극적인 추후관리와 고혈압에 대한 환자의 잘못된 인식을 교정해주는 효과적인 보건교육을 포함하는 보다 체계적인 고혈압 관리 사업이 요구된다고 하겠다.

• 대한영양사협회학술지
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• 제27권4호
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• pp.248-262
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• 2021

This study examined the effect of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet of the Korean multi-domain dementia prevention program on the cognitive functions of the elderly with dementia risk factors. We developed the program including nutrition, exercise, cognitive training, vascular disease prevention, and motivation. One- hundred and fifty-three participants aged 60~79 years with at least 1 dementia risk factor were randomly assigned in a 1:1:1 ratio to the facility-based intervention (FMI), home-based intervention (HMI), and the control group. The nutrition education program consisted of 10 classes over 24 weeks: the FMI received 7 group sessions and three 1:1 sessions, the HMI received 4 group sessions and three 1:1 sessions with 3 homework sessions. The Nutrition Quotient for Elderly (NQ-E) and the Mini Nutritional Assessment (MNA) were used to evaluate nutritional status. The Repeatable Battery for the Assessment Neuropsychological Status (RBANS), Korean Mini-Mental State Examination (K-MMSE), and the Cognitive Complaint Interview (CCI) were used to evaluate cognitive functions. A total of 136 people completed the program with an 11.1% dropout rate. The NQ-E (P=0.009) and RBANS (P=0.001) scores significantly increased in the FMI (N=45) and HMI (N=49) groups compared to the control group (N=42) after the study. The changes in the score of MNA and CCI did not differ significantly between groups. In conclusion, the nutritional intervention which focused on the MIND diet as a part of a multi-domain intervention program had a positive effect on the improvement of healthy eating habits and cognitive function scores in the high-risk dementia group.

• Journal of Information Technology Applications and Management
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• 제28권6호
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• pp.97-116
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• 2021

Due to the decrease in the school-age population and government regulations, universities have made great efforts to secure their own competitiveness. In particular, the selection of universities with financial support based on the recent evaluation of the Ministry of Education has become a major concern enough to affect the existence of the university itself. This paper extracts three-year data from 124 major private universities nationwide, and quantitatively analyzes the variables of major universities selected as self-improvement universities, competency reinforcement universities, and universities with limited financial support. As a result of estimating the selection of self-powered universities using the ordered logit model by hierarchically inputting 12 variables, student competitiveness in the metropolitan area (1.318^**), Educational Restitution Rate (4.078^***), University operation expenditure index rate (1.088^***) values were found. Significant positive coefficient values were found in the admission enrollment rate (45.98^***) and the enrollment rate (13.25^***). As a result of analyzing the marginal effects, the increase in the rate of reduction of education costs has always been positive in the selection of self-powered universities, but it was observed that the rate of increase decreases in areas of increase of 150% or more. On the contrary, the probability of becoming a Em-powered university was negative in all sectors, but on the contrary, it was analyzed that marginal effects increased at the same time point. On the other hand, the employment rate of graduates was not able to find direct significance with the result of the selection of Self powered universities. Through this paper, it is expected that each university will analyze the possibility and shortcomings of the selection of Self powered universities in policy making, and in particular, the risk of dropout of selection for the vulnerable field can be predicted using marginal effects. It can be used as major research data for both university evaluators, university officials and students.