• 대한임상검사과학회지
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• 제52권4호
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• pp.310-316
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• 2020

마이크로어레이 진단 기법의 발달은 세포유전학적 관점에서, 다양한 종류의 유전학적 질병과 관련하여 새로운 정보를 제공하고, 질병에 대한 기본적인 통찰력을 제공하는데 매우 중요한 역할을 제공하고 있다. 그동안 많은 연구들에서, 마이크로어레이 기술을 활용한 인간 게놈의 유동성과 다양성을 입증해 주었으며, 게놈의 취약성을 식별하기 위한 보다 정확한 진단기법과 적절한 임상 관리 방법을 효율적으로 제공해 왔다. 앞으로 다양한 유전과 관련된 질병에 기존 세포유전학적 방법을 자동화된 마이크로어레이 방법으로 전환한다면, 보다 효율적인 방법으로 질병을 진단하고, 정확성을 향상시키며, 유전자 배열의 암호화 및 복잡한 특성을 밝히는데 매우 중요한 역할을 할 것으로 생각된다. 또한 이 분석 기법을 활용하여 게놈과 인간의 건강, 질병과의 관계를 분석하여 다양한 정보를 미리 제공하여 질병을 예방하고, 질병의 진단 및 치료에도 도움이 될 수 있는 새로운 혁명을 일으킬 수 있을 것으로 기대된다.

• 디지털융복합연구
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• 제18권12호
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• pp.259-266
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• 2020

이 연구의 목적은 대학생들의 창의적 자기효능감 향상을 위한 디자인씽킹 기반 비교과 프로그램을 개발하고 개발된 프로그램의 효과성을 살펴보는 것을 목적으로 한다. 이 연구는 비교과 프로그램의 개발 절차 및 개선점 도출을 통한 프로그램 최적화에도 목적이 있기에 설계기반연구방법을 적용하였다. 연구결과, 첫째, 비교과 프로그램 개발을 위한 절차는 세 단계 즉, 개발 단계와 전문가 검토 단계, 현장 검증 단계로 진행되고, 현장 검증 단계에서는 프로그램의 효과성을 검토할 수 있는 정량적 분석 도구 활용 및 정성 자료 분석과 이를 통한 프로그램 개선으로 진행된다. 둘째, 디자인씽킹 기반 비교과 프로그램은 프로그램의 효과를 극대화하기 위해 단회기 프로그램보다는 전문가 특강 및 학생 중심 활동을 포함한 일련의 요소들로 구성된 30시간의 심화 프로그램으로 개발되었다. 셋째, 개발된 프로그램을 동계·하계 방학 중 두 차례 진행한 결과, 창의적 자기효능감 향상에 긍정적인 효과가 있는 것으로 확인되었다. 이 연구는 대학의 맥락을 반영한 비교과 프로그램을 개발할 때 참고할 수 있는 일반적인 절차를 제공하고 개발된 프로그램의 구체적인 모습과 효과성 확인을 위한 검사 도구의 활용 사례를 제시했다는 데 의의가 있다.

• 한국항행학회논문지
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• 제25권3호
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• pp.256-266
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• 2021

국내외 연구들은 무인항공기 사고의 주원인으로 인적요인을 지목하고 있고, 이러한 인적요인을 효과적으로 분석하는 기법으로 HFACS를 소개하고 있다. 현재까지는 HFACS를 이용해 무인항공기 사고의 인적요인을 분석했던 국내외 사례는 주로 군용 무인항공기가 대상이었는데, 항공사고를 유발하는 인적요인 정보를 분석하여 객관적 원인 규명과 유사 사고 예방 도구로 사용할 수 있는 HFACS가 국내 민간 무인항공기 분야에서도 활용이 필요한 시점이다. 특히, 국내 민간 무인항공기의 성능과 운용 여건을 고려한 HFACS 적용중점을 식별한다면 사고 발생 시 원인 규명과 재발 방지에 큰 도움이 될 것으로 예상된다. 본 연구는 HFACS version 7.0을 근간으로 우리나라 항공철도사고조사위원회가 수행했던 사고조사 결과보고서 자료를 분석하여 국내 민간 무인항공기 사고조사에 활용할 수 있는 HFACS 적용중점을 식별하였다.

• 한국문헌정보학회지
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• 제55권1호
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• pp.251-283
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• 2021

국립중앙도서관은 국가대표도서관으로 국가지식문화유산의 수집·제공·보존관리 등의 국가도서관 임무를 수행하고 있다. 본 연구는 국가도서관인 국립중앙도서관의 지속적 성장과 발전을 위한 합리적 경영개선 도구로서 성과지표 개발을 목표로 하였다. 성과지표는 도서관 환경변화에 대응한 조직의 전략과 성과측정 연계에 유용한 균형성과표(Balanced Scorecard, BSC)를 기반으로 하였다. ① 자원, 접근, 인프라 관점, ② 이용 관점, ③ 효율성 관점, ④ 잠재력과 성장 관점, 19개 핵심성공요인, 71개 지표로 국립중앙도서관 성과지표를 개발하였다. 또한 국립중앙도서관 직급과 직무에 따른 성과지표 인식의 차이를 분석하였다.

• 국토계획
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• 제54권2호
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• pp.33-45
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• 2019

The Legal Floor Area Ratio (L-FAR) has been used as a major urban planning tool for efficient management of land use, landscape, and density. The Developed Floor Area Ratio (D-FAR) in each parcel is realized by such physical and institutional factors as urban tissue, local characteristics, and zoning with the L-FAR. The Achieved Floor Area Ratio (A-FAR), the ratio of the D-FAR to the L-FAR, is the relationship between realized density and the intended/desired outcomes of the regulations. The A-FAR informs the efficiency of L-FAR and its effect on parcels, and is an indicator of the demands of real estate developments under the zoning regulation. This study used detailed data of each parcel's characteristics, including parcel size, road width, and the number of roads bordered by a parcel, to identify the influencing factors on A-FAR. This analysis confirmed that the parcel size has a non-linear negative effect in the residential zone but a linear positive effect on A-FAR in the commercial zone. The width of the parcel's frontage in the commercial zone has a positive effect on the value, while in the residential zone the narrower width has higher A-FAR. In Seoul, the residential zone has higher A-FAR than the commercial zone, which means that the former has a relatively higher development pressure but a lower designated L-FAR. This result reflects that Seoul's residential zone absorbs the demand of commercial uses because of the significant permitting of mixed land use and has high-density residential buildings.

• 산업경영시스템학회지
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• 제44권2호
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• pp.24-35
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• 2021

Due to increasing awareness on the treatment of end-of-use/life products, disassembly has been a fast-growing research area of interest for many researchers over recent decades. This paper introduces a novel lot-sizing problem that has not been studied in the literature, which is the service-parts lot-sizing with disassembly option. The disassembly option implies that the demands of service parts can be fulfilled by newly manufactured parts, but also by disassembled parts. The disassembled parts are the ones recovered after the disassembly of end-of-use/life products. The objective of the considered problem is to maximize the total profit, i.e., the revenue of selling the service parts minus the total cost of the fixed setup, production, disassembly, inventory holding, and disposal over a planning horizon. This paper proves that the single-period version of the considered problem is NP-hard and suggests a heuristic by combining a simulated annealing algorithm and a linear-programming relaxation. Computational experiment results show that the heuristic generates near-optimal solutions within reasonable computation time, which implies that the heuristic is a viable optimization tool for the service parts inventory management. In addition, sensitivity analyses indicate that deciding an appropriate price of disassembled parts and an appropriate collection amount of EOLs are very important for sustainable service parts systems.

• 여성건강간호학회지
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• 제27권1호
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• pp.14-26
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• 2021

Purpose: This study aimed to identify the effects of nursing intervention programs for women with gestational diabetes mellitus (GDM) through a critical review of recent studies. Methods: Studies related to effects of nursing intervention programs for women with GDM published in English or Korean between 2000 and 2019 were extracted from 10 electronic databases. The quality of the studies was evaluated and double-checked for accuracy by two reviewers using the Revised Cochrane Risk-of-Bias tool for randomized controlled trials. Results: Twenty studies were selected, of which 19 had a low risk of bias and one had a high risk of bias. Interventions fell into six main groups: (1) integrated interventions, (2) self-monitoring of blood glucose levels, (3) dietary interventions, (4) exercise, (5) psychotherapy, and (6) complementary therapy. This review found that nursing interventions for GDM were of many types, and integrated interventions were the most common. However, low-carbohydrate diets and blood glucose monitoring interventions did not show statistically significant results. Evidence shows that various nursing intervention programs applied to GDM improved diverse aspects of maternal, fetal, and neonatal health, including both physical and psychological aspects. Conclusion: The composition and delivery of integrated interventions continue to evolve, and these interventions affect physical and psychological indicators. Although interventions affecting physical health indicators (e.g., blood glucose levels, diet, and exercise) are important, many studies have shown that programs including psycho-emotional nursing interventions related to anxiety, depression, stress, self- efficacy, and self-management are also highly useful.

• 한국농공학회논문집
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• 제63권2호
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• pp.51-60
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• 2021

Effective nonpoint source (NPS) pollution management requires frequent water quality monitoring, which is, however, often costly to be implemented in practice. Statistical techniques and machine learning methods allow us to identify and focus on fundamental environmental variables that have close relationships with NPS pollutants of interest. This study developed surrogate models to predict the concentrations of suspended sediment (SS) and total phosphorus (T-P) from turbidity and runoff discharge rates using multiple linear regression (MLR) and random forest (RF) methods. The RF models provided acceptable performance in predicting SS and T-P, especially when runoff discharge rates were high. The RF models outperformed the MLR models in all the cases. Such finding highlights the potential of RF techniques and models as a tool to identify fundamental environmental variables that are measured in relatively inexpensive ways or freely available but still able to provide information required to quantify the concentrations of NP S pollutants. The analysis of relative importance rates showed that the temporal variations of SS and T-P concentrations could be more effectively explained by that of turbidity than runoff discharge rate. This study demonstrated that the advanced statistical techniques such as machine learning could help to improve the efficiency of NPS pollutants monitoring.

• 시스템엔지니어링학술지
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• 제16권2호
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• pp.27-37
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• 2020

The Fukushima Daiichi accident in 2011 revealed some vulnerabilities of existing Nuclear Power Plants (NPPs) under extended Station Blackout (SBO) accident conditions. One of the key Severe Accident Management (SAM) strategies developed post Fukushima accident is the In-Vessel Retention (IVR) Strategy which aims to retain the structural integrity of the Reactor Pressure Vessel (RPV). RELAP/SCDAPSIM/MOD3.4 is selected to predict the thermal-hydraulic response of APR1400 undergoing an extended SBO. To assess the effectiveness of the IVR strategy, it is essential to quantify the underlying uncertainties. In this work, both the epistemic and aleatory uncertainties are considered to identify the success window of the IVR strategy. A set of in-vessel relevant phenomena were identified based on Phenomena Identification and Ranking Tables (PIRT) developed for severe accidents and propagated through the thermal-hydraulic model using Wilk's sampling method. For this work, a Systems Engineering (SE) approach is applied to facilitate the development process of assessing the reliability and robustness of the APR1400 IVR strategy. Specifically, the Kossiakoff SE method is used to identify the requirements, functions and physical architecture, and to develop a design verification and validation plan. Using the SE approach provides a systematic tool to successfully achieve the research goal by linking each requirement to a verification or validation test with predefined success criteria at each stage of the model development. The developed model identified the conditions necessary for successful implementation of the IVR strategy which maintains the vessel integrity and prevents a melt-through.

• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.599-605
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• 2021

The International Electrotechnical Commission (IEC) 62494-1 has defined the exposure index (EI) that have a proportional relationship with the dose incident on the image receptor, and target exposure index (EI_T), deviation index (DI). In this study, an appropriate EI_T for skull radiography was established through the diagnostic reference level (DRL) and changes in DI were confirmed. Entrance surface dose (ESD) and EI were obtained using the computed radiography system displayed the EI as per IEC on console and skull phantom by experiment based on the national average exposure conditions announced in 2012 and 2019. And appropriate EI_T was established by applying the DRL in 2012 and 2019. As a results, the EI_T is changed according to the change in the DRL, and the exposure condition that becomes the ideal DI according to the change in the EI_T also has a difference of about 1.41 times. DRL is recommended to optimize the patient dose, however it is difficult to measure in real time at medical institutions whereas EI and DI are displayed on the console at the same time as exposure. When the EI_T is set based on the DRL and the DI is closed to an ideal value, it is useful as a patient dose management tool. Therefore, when the EI_T is periodically managed along with the revision of the DRLs, the patient dose can be optimized through the EI, EI_T and DI.