• 한국가스학회지
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• 제15권5호
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• pp.57-62
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• 2011

현대의 화학공장 및 석유 가스산업 시설은 공정 및 설비가 더욱 복잡해지고 세분화됨으로써 산업현장에서는 다양한 잠재위험으로 인하여 화재, 폭발, 독성물질 누출 등의 중대 산업사고의 발생 가능성 및 사고결과의 피해가능 범위가 증가되고 있다. 이러한 위험요소를 줄이기 위하여 공정 내 안전장치를 설치하여 공정의 위험도를 줄여야 하지만, 공장 운전 효율성과 안전도는 서로 적절한 수준을 유지하지 않으면 잦은 검사와 확인으로 효율성을 저해할 수 있다. 그를 위하여 이번 연구에서 SIL(Safety Integrity Level)을 이용한 SIF(Safety Instrument Function)의 추가로 장치의 적절한 사양, 설계를 이루고 공정내의 잠재위험이 사고로 이어지는 것을 방지하여, 화학공장의 안전성을 향상시켰다.

• 대한지하수환경학회지
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• 제3권2호
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• pp.101-109
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• 1996

본 연구에서 사용한 DRASTIC 시스템은 미국 EPA에서 개발한 것으로, 수리지질학적 인자를 사용하여 상대적인 지하수 오염 가능성을 분석하는데 널리 이용된다. 또한 정호 및 매립지 위치 선정과 지하수 보호책으로의 토지이용 기초자료, 감시 목적과 오염지역 복원시 자금을 효율적으로 할당하는데 유용하게 이용될 수 있다. 본 연구는 이러한 시스템을 이용하여 충주호 주변의 지하수 오염 가능성을 분석한 것이다. 이번 연구에서는 지하수면의 깊이, 함양도, 대수층과 토양의 구성성분, 지형과 수리전도도의 수리지질학적 인자를 사용하였다. 보다 정밀한 분석을 위해 원격탐사자료에서 끌어낸 선구조를 DRASTIC 시스템에 이용하였다. 본 연구에서는 지구정보시스템(GIS)과 그래픽 사용자 인터페이스를 개발 연구하여 지하수 오염 가능성과 위험도를 지도화하여 쉽고 빠르게 이해할 수 있도록 하였다.

• Safety and Health at Work
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• 제9권2호
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• pp.133-139
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• 2018

Background: Selecting priority occupational carcinogens is important for cancer prevention efforts; however, standardized selection methods are not available. The objective of this paper was to describe the methods used by CAREX Canada in 2015 to establish priorities for preventing occupational cancer, with a focus on exposure estimation and descriptive profiles. Methods: Four criteria were used in an expert assessment process to guide carcinogen prioritization: (1) the likelihood of presence and/or use in Canadian workplaces; (2) toxicity of the substance (strength of evidence for carcinogenicity and other health effects); (3) feasibility of producing a carcinogen profile and/or an occupational estimate; and (4) special interest from the public/scientific community. Carcinogens were ranked as high, medium or low priority based on specific conditions regarding these criteria, and stakeholder input was incorporated. Priorities were set separately for the creation of new carcinogen profiles and for new occupational exposure estimates. Results: Overall, 246 agents were reviewed for inclusion in the occupational priorities list. For carcinogen profile generation, 103 were prioritized (11 high, 33 medium, and 59 low priority), and 36 carcinogens were deemed priorities for occupational exposure estimation (13 high, 17 medium, and 6 low priority). Conclusion: Prioritizing and ranking occupational carcinogens is required for a variety of purposes, including research, resource allocation at different jurisdictional levels, calculations of occupational cancer burden, and planning of CAREX-type projects in different countries. This paper outlines how this process was achieved in Canada; this may provide a model for other countries and jurisdictions as a part of occupational cancer prevention efforts.

• Clinical and Experimental Pediatrics
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• 제63권1호
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• pp.20-24
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• 2020

Background: Predicting the prognosis of patients admitted to the pediatric intensive care unit (PICU) is very important in determining further management and resource allocation. The prognostication of critically ill children can be challenging; hence, accurate methods for predicting outcomes are needed. Purpose: To evaluate the role of microalbuminuria at admission as a prognostic marker in comparison to standard Pediatric Risk of Mortality (PRISM) and Pediatric Logistic Organ Dysfunction (PELOD) mortality scores in children admitted to the PICU. Methods: This cross-sectional study was conducted from January 2015 to October 2016. Eighty-four patients aged 1 month to 18 years admitted to the PICU of teaching hospitals for more than 24 hours were enrolled by convenience sampling method. Microalbuminuria was estimated by spot urinary albumin-creatinine ratio. PRISM and PELOD scores were calculated using an online calculator. Outcome measures were PICU length of stay, inotrope usage, multiorgan dysfunction, and survival. ACR was compared with mortality scores for predicting survival. Results: Microalbuminuria was present in 79.8% with a median value of 85 mg/g (interquartile range, 41.5-254 mg/g). A positive correlation was found between albumin-creatinine ratio and PICU length of stay (P=0.013, r=0.271). Albumin-creatinine ratio was significantly associated with organ dysfunction (P=0.004) and need for inotropes (P=0.006). Eight deaths were observed in the PICU. The area under the curve for mortality for albumin-creatinine ratio (0.822) was comparable to that for PRISM (0.928) and PELOD (0.877). Albumin-creatinine ratio >109 mg/g predicted mortality with a sensitivity of 87.5% and specificity of 63.2%. Conclusion: Microalbuminuria is a good predictor of PICU outcomes comparable with mortality scores.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.241-250
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• 2005

New product development (NPD) is defined as the transformation of a market opportunity and a set of assumptions about product technology into a product available for sale. Managers charged with project selection decisions in the NPD process, such as go/no-go choices and specific resource allocation decisions, are faced with a complicated problem. Therefore, the ability to develop new successful products has identifies as a major determinant in sustaining a firm's competitive advantage. The purpose of this study is to develop a new evaluation model for NPD project selection in the high -tech industry using support vector machines (SYM). The evaluation model is developed through two phases. In the first phase, binary (go/no-go) classification prediction model, i.e. SVM for high-tech NPD project selection is developed. In the second phase. using the predicted output value of SVM, feasibility grade is calculated for the final NPD project decision making. In this study, the feasibility grades are also divided as three level grades. We assume that the frequency of NPD project cases is symmetrically determined according to the feasibility grades and misclassification errors are partially minimized by the multiple grades. However, the horizon of grade level can be changed by firms' NPD strategy. Our proposed feasibility grade method is more reasonable in NPD decision problems by considering particularly risk factor of NPD in viewpoints of future NPD success probability. In our empirical study using Korean NPD cases, the SVM significantly outperformed ANN and logistic regression as benchmark models in hit ratio. And the feasibility grades generated from the predicted output value of SVM showed that they can offer a useful guideline for NPD project selection.

• Journal of Information Science Theory and Practice
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• 제7권4호
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• pp.56-64
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• 2019

Planting intercropping in rubber plantations is another alternative for generating more income for farmers. However, farmers still lack the knowledge of choosing plants. In addition, information for decision making comes from many sources and is knowledge accumulated by the expert. Therefore, this research aims to create a decision support system for growing rubber trees for individual farmers. It aims to get the highest income and the lowest cost by using semantic web technology so that farmers can access knowledge at all times and reduce the risk of growing crops, and also support the decision supporting system (DSS) to be more intelligent. The integrated intercropping ontology and rule are a part of the decision-making process for selecting plants that is suitable for individual rubber plots. A list of suitable plants is important for decision variables in the allocation of planting areas for each type of plant for multiple purposes. This article presents designing and developing the intercropping ontology for DSS which defines a class based on the principle of intercropping in rubber plantations. It is grouped according to the characteristics and condition of the area of the farmer as a concept of the rubber plantation. It consists of the age of rubber tree, spacing between rows of rubber trees, and water sources for use in agriculture and soil group, including slope, drainage, depth of soil, etc. The use of ontology for recommended plants suitable for individual farmers makes a contribution to the knowledge management field. Besides being useful in DSS by offering options with accuracy, it also reduces the complexity of the problem by reducing decision variables and condition variables in the multi-objective optimization model of DSS.

• 한국콘텐츠학회논문지
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• 제17권5호
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• pp.165-173
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• 2017

본 연구의 목적은 한국 주식시장과 인접한 동아시아 주식시장과의 상관관계와 변동성을 분석하는데 있다. 동아시아 주식시장은 한국과 지리적으로 경제적으로 가까운 일본과 중국, 홍콩, 대만을 선정하였다. 한국과 동아시아 주식시장간 상관관계와 변동성을 파악한다면 투자 예측에 도움이 될 수도 있다. 또한 글로벌 포트폴리오 차원에서 자산배분의 투자위험을 감소할 수도 있다. 이를 위해 지난 163개월 동안의 국가별 월별 수익률 자료를 이용하여 상승률과 상관계수, 회귀분석 등을 산출하고 비교 분석하였다. 상관관계를 분석한 결과 한국은 대만이나 홍콩과 높은 상관관계를 보인 반면 중국과는 낮은 상관관계를 보여주었다. 중국은 홍콩을 제외하고 다른 국가와 낮은 상관관계를 보여 동아시아에서 독자적인 시장을 형성하고 있었다. 홍콩은 동아시아 주식시장 내 다른 국가와 동행성이 가장 높은 시장으로 판단되어 홍콩시장이 동아시아 주식시장의 방향성을 제시할 수도 있다.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.402-409
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• 2019

치매 환자나 혼자 힘으로 전혀 움직이지 못하는 노인 환자는 간병 인력 부족으로 낙상 사고 및 욕창 발생 가능성이 매우 크다. 본 논문에서는 이러한 문제를 해결하기 위해 일정 주기마다 감지한 압력 세기를 기준으로 머리, 어깨, 엉덩이 등 주요 신체 부위를 판별하여 환자의 누운 자세를 판별할 수 있는 알고리즘을 제안한다. 신체적 특성에 무관하게 신체 부위 판별이 가능하도록 격자 구조로 압력 센서를 배치한 스마트 매트를 제작하였다. 스마트 매트는 $7{\times}7$ 배열 크기의 2개 모듈을 조합하여 구성하였다. 각 모듈은 모두 49개의 FSR-406 센서로 구성되며 독립적으로 압력을 감지한다. 각 모듈에 대해 필터를 사용한 누적 압력 합 등 압력 분포를 이용해 상체 또는 하체에 해당하는 신체 부위를 순차적으로 판별한다. 제안한 알고리즘은 머리, 어깨, 엉덩이 부위 등 계층-1에 속한 신체 부위간 포함 관계를 조사해 5가지 누운 자세를 판별할 수 있다.

• 대한통합의학회지
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• 제10권2호
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• pp.73-83
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• 2022

Purpose : Low back pain (LBP) is reported as a risk of experiencing musculoskeletal disorders due to muscle stiffness and hypokinetics. The lumbar spine in an unstable state causes imbalance and lumbar instability. Therefore, This study examined the effects of lumbar stabilization exercise and self-complex exercise program on pain, function, psychosocial level, static balance ability, and transverse abdominal muscle (TrA) thickness and contraction ratio in patients with lumbar instability. Methods : The design of this is a randomized controlled trial (RCT). Twenty-six LBP patients participated in this study. Screening tests were performed and assigned to the experimental group (n=13) and control group (n=13) using a random allocation program. Both groups underwent a lumbar stabilization exercise program. In addition, the experimental group implemented the self-complex exercise program. All interventions were applied three times per week for four weeks. The quadruple visual analog (QVAS), the Korean version of the Oswestry disability index (K-ODI), Korean version of fear-avoidance belief questionnaire (FABQ), static balance ability, TrA thickness, and contraction ratio were compared to evaluate the effect on intervention. Statistical significance was set at 𝛼=.05. Results : Both groups showed significant differences before and after the intervention in QVAS, K-ODI, FABQ, static balance ability, and TrA thickness in contraction (p<.05). In addition, significant differences in K-ODI and FABQ were observed between the experimental group and control group (p<.05). Conclusion : A lumbar stabilization exercise and self-complex exercise program resulted in reduced dysfunctions, psychosocial stability in patients with lumbar instability. Therefore, Lumbar stabilization exercise and self-complex exercise program for patients with lumbar instability are effective method with clinical significance in improving the function and psychosocial stability.

• Journal of Preventive Medicine and Public Health
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• 제55권1호
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• pp.49-59
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• 2022

Objectives: Access to maternal and neonatal care services (MNCS) is an important goal of health policy in developing countries. In this study, we proposed a 3-level hierarchical location-allocation model to maximize the coverage of MNCS providers in Iran. Methods: First, the necessary criteria for designing an MNCS network were explored. Birth data, including gestational age and birth weight, were collected from the data bank of the Iranian Maternal and Neonatal Network national registry based on 3 service levels (I, II, and III). Vehicular travel times between the points of demand and MNCS providers were considered. Alternative MNCS were mapped in some cities to reduce access difficulties. Results: It was found that 130, 121, and 86 MNCS providers were needed to respond to level I, II, and III demands, respectively, in 373 cities. Service level III was not available in 39 cities within the determined travel time, which led to an increased average travel time of 173 minutes to the nearest MNCS provider. Conclusions: This study revealed inequalities in the distribution of MNCS providers. Management of the distribution of MNCS providers can be used to enhance spatial access to health services and reduce the risk of neonatal mortality and morbidity. This method may provide a sustainable healthcare solution at the policy and decision-making level for regional, or even universal, healthcare networks.