• 한국인공지능학회지
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• 제4권1호
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• pp.11-13
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• 2016

These days, medical technology has been developed rapidly to meet desire of living healthy life. Average lifespan was extended to let people see a doctor because of many reasons. This study has shown rate of leaving of hospitals to investigate the rate of not only department of surgery but also department of internal medicine. Linear model, tree, classification rule, association and algorithm of data mining were used. This study investigated by using J48 and AD tree of decision-making tree In this study, J48 and AD tree of decision-making tree of data mining were used to investigate based on result of both data. Both algorithms were found to have similar performance. Both algorithms were not equivalent to require detailed experiment. Collect more experimental data in the future to apply from various points of view. Development of medical technology gives dream, hope and pleasure. The ones who suffer from incurable diseases need developed medical technology. Environment being similar to the reality shall be made to experiment exactly to investigate data carefully and to let the ones of various ages visit hospital and to increase survival rate.

• 대기
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• 제27권4호
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• pp.499-509
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• 2017

Possible links among cosmic ray, cloud, and climate have scientific uncertainties. The reputed topics have been highly controversial during several decades. A link between the atmospheric ionization by galactic cosmic rays (GCR), which is modulated by solar activities, and global cloud cover was firstly proposed in 1997. Some researchers suggested that the GCR can stimulate the formation of cloud condensation nuclei (CCN) in the atmosphere, and then the higher CCN concentrations may lead to an increase of cloud cover, resulting in a cooling of the Earth's climate, and vise versa. The CLOUD (Cosmic leaving outdoor droplets) experiment was designed to study the effect of GCR on the formation of atmospheric aerosols and clouds under precisely controlled laboratory conditions. A state-of-the-art chamber experiment has greatly advanced our scientific understanding of the aerosol formation in early stage and its nucleation processes if the GCR effect is considered or not. Many studies on the climate-GCR (or space weather) connection including the CLOUD experiment have been carried out during the several decades. Although it may not be easy to clarify the physical connection, the recent scientific approaches such as the laboratory experiments or modeling studies give some implications that the research definitively contributed to reduce the scientific uncertainties of natural and anthropogenic aerosol radiative forcing as well as to better understand the formation processes of fine particulate matters as an important parameter of air quality forecast.

• 대한조선학회논문집
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• 제58권5호
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• pp.281-293
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• 2021

Oil and steel prices, which are major pricescosts in the shipbuilding industry, were predicted. Firstly, the error of the moving average line (N=3-5) was examined, and in all three error analyses, the moving average line (N=3) was small. Secondly, in the linear prediction of data through existing theory, oil prices rise slightly, and steel prices rise sharply, but in reality, linear prediction using existing data was not satisfactory. Thirdly, we identified the limitations of linear prediction methods and confirmed that oil and steel price prediction was somewhat similar to actual moving average line prediction methods. Due to the high volatility of major price flows, large errors were inevitable in the forecast section. Through the time series analysis method at the end of this paper, we were able to achieve not bad results in all analysis items relative to artificial intelligence (Prophet). Predictive data through predictive analysis using eight predictive models are expected to serve as a good research foundation for developing unique tools or establishing evaluation systems in the future. This study compares the basic settings of artificial intelligence programs with the results of core price prediction in the shipbuilding industry through time series prediction theory, and further studies the various hyper-parameters and event effects of Prophet in the future, leaving room for improvement of predictability.

• 성인간호학회지
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• 제25권6호
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• pp.701-711
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• 2013

Purpose: The plan proposed by the Ministry of Health and Welfare in 2012 did not reflect the position of nurses and focused only on how to increase the number of nurses. There is a need for coming up with a specific and viable alternative plan considering the qualitative aspect of nursing, delegation of nursing tasks, the in-death analysis of the reasons for leaving the nursing profession, and the legal standards based on varying nursing tasks. Methods: Drawing on a review of existing literature, this report was written to examine policy directions and the factors that influence the institutional environment that regulates the supply and demand of the nursing workforce in Korea. Results: Implementing the government's plan for introducing a new type of nurse, the registered practical nurse, which generally requires a two-year associate's degree, must be reconsidered. Also, a concrete plan to make use of unemployed nurses and to close the salary gap between nurses working at hospitals in cities and those working at hospitals in rural areas must be prepared. Furthermore, there is a need for introducing a new rating system aimed at boosting the quality of nursing care in small-and medium-sized hospitals, thereby increasing the number of nursing professionals who provide high quality care. Conclusion: In preparation for expected poor quality of care and looming unemployment crisis due to the increase in the number of nursing professionals, a practical and concrete plan for the supply and demand of the nursing workforce should be made. The Korean Nurses Association should mount a profession-wide campaign to make the government formulate a new and viable policy on the supply and demand of the nursing workforce.

• 산업진흥연구
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• 제7권3호
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• pp.115-124
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• 2022

인간의 미래를 예측하는 운명학을 공부하면서 가장 당혹스러운 일은 사람의 타고난 운명 즉 사주팔자가 좋지 않을 때 어떻게 해야 하나? 그냥 운명에 순응하며 살아가는가? 아니면 좋은 운명으로 바뀌도록 도전적인 노력을 하며 개운하는가? 라는 물음에 대한 답을 찾기가 쉽지 않다는 점이다. 운명을 뛰어넘는 길을 제시한 명대의 학자 원료범이 자식을 훈계하기 위하여 남긴 『요범사훈』은 팔자를 고치는 안내 책이며 그 핵심은 공덕(적선)을 쌓는 일이라 하며 운명은 얼마든지 바뀔 수 있다고 했다. 또 혹자는 "미래는 예측하는 것이 아니라 창조하는 것이다." 라고 하기도 하고 동기부여 전문가로 베스트셀러 저자인 스티븐 코비 박사는 "미래를 예측하는 가장 확실한 방법은 미래를 창조하는 것이다."라고 했다. 하여간 인간의 미래를 알고 싶어 하는 욕구와 궁금증은 창세 이래로 오늘날까지도 지속되어 오고 있다. 아마도 이는 우리 인간의 본능적 욕구가 아닐까 생각된다. 그렇다면 인간의 운명이 정명론(定命論)이든 변명론(變命論)이든, 운명학의 기능과 역할은 미래 예측의 정확도를 높이는 것일 것이다. 따라서 본 연구는 미래 예측 술수학의 하나로 가장 대중화되어 있고 예측의 적중률이 높은 것으로 인지되고 있는 명리학에 있어서 그 핵심과 요체가 되는 격국과 이에 수반되는 상신에 대하여 자평명리학을 중심으로 살펴보며 혼란스러운 용어에 대하여 정리해 보았다. 격은 주로 내격을 위주로 살펴보았고 여러 외격이나 별격은 본 논문에서는 다루지 않았다. 구체적으로는 명리 고전과 현대의 여러 학자들의 격국과 용신에 대한 견해를 정리하였고, 특히 격국의 여러 개념과 각각의 내격 특성의 장·단점의 비교, 내격의 취격 순서 및 취격된 격에 대한 성격·패격의 경우를 구분하여 살펴보았다. 아울러, 『자평진전』에서 얘기하는 상신에 대한 개념을 정리하고 보다 폭넓은 개념인 희신에 대하여도 간단히 정리하였고, 일간간명법과 월지간명법에서의 상신의 쓰임의 차이점을 검토·분석하였다. 마지막으로, 격신과 격국의 혼용 및 동일한 용어에 대한 학자들의 포괄적인 다양성의 수용에서 오는 혼란을 후일의 연구 과제로 남겨둔 채 마무리하였다.