• 식품보건융합연구
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• 제7권5호
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• pp.1-7
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• 2021

The aging of the population has a fundamental impact on the national economy, including decline in productive population, atrophy of available funds, slowdown of technological innovation, slowdown of economic growth, and decrease in vitality of society as a whole. Increase of elderly population would lead to increase in elderly welfare consumers, which would also lead to increase the demand for elderly welfare services. However, due to the continuation of the low birth rate, there is a great shortage of human resources who can handle this. In such a situation, the main goal of the elderly welfare system in the future should aim to actively try to design effective policies, prepare systems, and implement services for the problems of the aged society, and to find ways to expand the finances, manpower, methods, and facilities necessary for the welfare of the elderly. Elderly welfare services in Korea have been changed and developed in accordance with socioeconomic changes such as industrialization and urbanization. This study examines the changes in elderly welfare services in Korea by the flow of times and presents a method which utilizes artificial intelligence and Internet of Things in services for the elderly welfare consumers to improve both quality and efficiency.

• 공업화학전망
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• 제23권6호
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• pp.3-13
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• 2020

저출산 고령화 사회로의 진입은 대한민국뿐만 아니라 전 세계적으로 많은 사회 문제를 야기하고 있다. 그 중에서 고령 인구 증가로 인한 의료 수요 증가와 이를 뒷받침 할 의료인력 부족은 곧 다가올 사회문제이다. 4차 산업 혁명으로 인해 다양한 사회문제에 대한 혁신적인 해법들이 제시되고 있는데, 본 기고문에서는 다가올 고령화 사회에서 의료인력 부족 등에 의한 해결법으로 원격의료 지원을 위한 인공지능 활용을 다루고자 한다. 병 진단 및 예측을 위한 여러 가지 인공지능 알고리즘은 이미 많이 개발 되어 있으나, 일반적으로 딥러닝에 많이 쓰이는 인공신경망 구조인 합성곱 뉴럴네트워크(convolution neural network)나 기존 퍼셉트론(perceptron) 구조에서 벗어나 확률론적 인공신경망 중에 하나인 베이지안 뉴럴네트워크(Bayesian neural network)를 다루고자 한다. 그중에서 연산효율적이며 뉴로모픽 하드웨어로 구현 가능성이 높고 실제 진단 예측(diagnosis prediction) 문제 해결에 강점을 보이는 알고리즘으로써 naive Bayes classifer를 활용한 연구를 소개하고자 한다.

• 펄프종이기술
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• 제44권6호
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• pp.9-14
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• 2012

Currently a variety of efforts to conserve and restore the injured the Annal of the Joseon Dynasty are continued and many studies about the aging pathway of the beeswax-treated volume have being progressed. In this study, two chambers were set up to assess the influence of VOCs(Volatile Organic Compounds) generated in process of beeswax deterioration. One chamber was closed and the other was continuously ventilated in order to remove the VOCs. In results, the acid compounds of beeswax-treated Hanjis aged in closed chamber was more than that aged in ventilated chamber. The folding endurance of beeswax-treated Hanjis aged in closed chamber was lower than that aged in ventilated chamber. Accumulated acid compounds of beeswax-treated Hanji in closed chamber may cause accelerated aging and strength decrease. In conclusion, accumulated acid compounds can accelerate the aging of beeswax-treated Hanji and cause the severe deterioration of inside of beeswax-treated volume. Therefore, to preserve more safely beeswax-treated volumes of the Annals of the Joseon Dynasty, it is essential that VOCs emitted from beeswax-treated volume are ventilated.

• 한국주조공학회지
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• 제41권6호
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• pp.528-534
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• 2021

본 연구는 Al-Mg-Si 합금에서 Cu가 첨가 후 자연시효와 인공시효에 따른 제2상 석출 반응이 합금의 열확산도 및 경도에 미치는 영향을 연구하였다. 연구에 사용된 Al-0.4Mg-0.2Si 합금과 Cu를 0.6 wt%, 1.0wt% 추가한 Al-Mg-Si-Cu 합금을 각각 중력 주조로 제작하고 열확산도 경도를 측정하고 석출 반응을 확인하기 위해 열량 분석을 실시 하였다. Al-Mg-Si 합금에 첨가된 Cu는 Q'상 및 θ'상과 같은 강화상 형성에 참여하여 합금의 경도와 고온 열확산도를 향상시켰다. 한편, 자연시효 시간 증가는 Al-Mg-Si-Cu 합금의 열확산도에는 큰 영향을 미치지 않았으나, 경도를 하락시키는 것으로 확인되었다.

• 한국공간구조학회논문집
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• 제24권2호
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• pp.83-90
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• 2024

Machine learning is widely applied to various engineering fields. In structural engineering area, machine learning is generally used to predict structural responses of building structures. The aging deterioration of reinforced concrete structure affects its structural behavior. Therefore, the aging deterioration of R.C. structure should be consider to exactly predict seismic responses of the structure. In this study, the machine learning based seismic response prediction model was developed. To this end, four machine learning algorithms were employed and prediction performance of each algorithm was compared. A 3-story coupled shear wall structure was selected as an example structure for numerical simulation. Artificial ground motions were generated based on domestic site characteristics. Elastic modulus, damping ratio and density were changed to considering concrete degradation due to chloride penetration and carbonation, etc. Various intensity measures were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks and extreme gradient boosting algorithms present good prediction performance.

• 전자통신동향분석
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• 제38권3호
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• pp.38-46
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• 2023

The value of living a long and healthy life without suffering has increased owing to aging populations, transition to welfare societies, and global interest in health deriving from the novel coronavirus disease pandemic. New drug development has gained attention as both a tool to improve the quality of life and high-value market, with blockbuster drugs potentially generating over 10 billion dollars in annual revenue. However, for newly discovered substances to be used as drugs, various properties must be verified over a long period in a time-consuming and costly process. Recently, the development of artificial intelligence technologies, such as deep and reinforcement learning, has led to significant changes in drug development by enabling the effective identification of drug candidates that satisfy desired properties. We explore and discuss trends in artificial intelligence for de novo drug design.

• Clinical and Experimental Reproductive Medicine
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• 제7권1_2호
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• pp.27-34
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• 1980

The status of artificial insemination was surveyed by investigating 20796 heads of adult dairy cattle out of 30464 heads at 1649 dairy farms located Seoul and Gyung-Gi and Chung-Cheong province area, and the results are as follows: 1. There were 286 small farms feeding less than 5 heads occupying 17.3% of total farm number, and 1083 medium sized dairy farms feeding between $6{\sim}20$ heads occupying 65.64% and also 280 large dairy farms feeding more than 21 heads occupying 17.06% of total. 2. Population of cow aging from 2 to 6 years were 87.26% and among 20907 heads of dairy cattles which had calved previously 13196 heads had histories of one to four calving 90.40%. 3. The successful conception rate with first A. I. occupied only 53.43% and 92.4% after third A. I. service. The average A. I. frequency for successful conception per/head was 1.8 times. 4. The breeding status was pregnancy 61.72%, uncertain pregnancy 19.39%, and as physiological vacancy 12.48% and reproductive disorders 10.62%. 5. Among 1264 heads of reproductive disorders 856 heads were clue to ovarian diseases and occupied 68.98% of total disorders and uterus diseases 10.64% and repeat breeders occupied 17.64%.

• Journal of Korean Dental Science
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• 제10권1호
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• pp.29-34
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• 2017

Purpose: The purpose of this study was to evaluate the microleakage of various types of resin-bonded fixed partial dentures (RBFPDs) after artificial aging. Materials and Methods: Forty models with missing first molar were fabricated using artificial resin teeth and were divided into four groups: Group A, conventional RBFPDs design; Group B, modified RBFPDs design; Group C, assembled 3-piece RBFPDs design; and Group D, assembled 3-piece RBFPDs with different occlusal rest positions. Half of the specimens underwent chewing simulation process (240,000 cycles, 50 N load, 1.7 Hz) and thermocycling (temperatures $5^{\circ}C{\sim}55^{\circ}C$, dwelling time 30 seconds) and the remaining 20 specimens didn't receive any treatment. All the specimens were immersed in 2% methylene blue solution for 24 hours to evaluate microleakage, and were sectioned at the middle part of abutment teeth. To evaluate the microleaskage, a dye penetration was calculated. Result: With artificial aging, cyclic loading and thermocycling, a 3-piece RBPFD and a 2-piece RBPFD using original tooth undercuts have significantly lower microleakge (P<0.05) compared to the conventional design of RBPFD and modified RBPFD. Conclusion: Within the limit of this experiment, the assembled RBFPDs exhibited a smaller microleakage than the conventional RBFPDs, implying that the assembled RBFPDs can be more effective for reducing the dislodgement of the RBFPDs.

• 멤브레인
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• 제33권2호
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• pp.61-69
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• 2023

최근 COVID-19로 인해 증가한 급성 폐부전 중증환자 치료를 위한 인공폐 기술의 필요성이 부각되었다. 또한, 빠르게 진행되고 있는 인구고령화는 인공장기(artificial organ, AO) 기술에 대한 높은 수요를 불가피하게 만들고 있다. 분리막은폐, 신장, 간 및 췌장을 포함한 많은 AO 기기의 핵심 부품이다. 특히 인공폐(artificial lung, AL) 기술은 지난 50년간 빠르게 발전해왔지만, 장기부전 환자의 생존율은 50% 내외로 여전히 낮은 편이다. 현재 대부분의 AL 관련문헌은 임상결과에 집중되어 있으며, AL 분리막의 개발연구는 매우 부족한 편이다. 이에 대한 원인 중 하나는 AL 기술이 생명공학을 포함하여 고분자 화학 및 분리공정 기술을 아우르는 융합적 기술개발을 요구하기 때문인 것으로 판단된다. 본 총설에서는 헬스케어산업에서 AL 분리막 기술의 역할과 기술개발이 필요한 난제들을 정리하였다. 특히, 분리막 소재의 혈액적합성, 분리성능, 모듈 디자인 및 공정 구성 측면에서 다양한 연구개발이 필요하다는 부분을 강조하고자 한다.

• 대한치과보철학회지
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• 제60권3호
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• pp.231-238
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• 2022

목적: 본 연구는 의치상용 레진의 전장방법이 polyetherketoneketone (PEKK)과의 인장결합강도에 미치는 영향을 알아보고자 하였다. 재료 및 방법: 총 80개의 PEKK 시편을 T자 형태로 절삭 가공하고, airborne-particle abrasion 처리 후 전처리제(Visio.link)를 도포하였다. 전장 방법에 따라 4개의 군(n = 20)으로 나누어, 충전형 광중합형 복합레진(SR Adoro), 유동형 광중합형 복합레진(Crea.lign), 열중합형 의치상용 레진(Vertex RS), 자가중합형 의치상용 레진(ProBase Cold)으로 전장하였다. 각 군은 인공시효처리 여부에 따라 2가지 하위 군(n = 10)으로 나누었다. 만능시험기를 이용해 인장결합강도 측정하고 현미경으로 파절단면을 관찰하였다. 통계적 검증을 위해 이원 분산분석 및 Tukey's HSD 사후 검정을 시행하였다(α = .05). 결과: 인공시효처리와 레진 전장방법은 인장결합강도에 통계적으로 유의한 영향을 주었다(P < .001). 인공시효처리 전과 후 모두 유동형 광중합형 복합레진 군에서 가장 높은 값을 보였고, 열중합형 레진 군에서 가장 낮은 값을 보였다(P < .05). 파절 단면은 군에 따라 혼합 파절과 계면 파절이 혼재되어 나타났다. 결론: 레진의 전장 방식은 PEKK과의 인장결합강도에 영향을 줄 수 있으며, 인공시효처리는 인장결합강도를 감소시킨다.