• 경영정보학연구
• /
• 제10권2호
• /
• pp.269-289
• /
• 2008

전자정부 정보화 사업과 같은 규모와 그 범위가 거대하며, 한번에 모든 기존의 오프라인 프로세스가 온라인화 되지 않고 수년간에 걸쳐 그 효과가 나타나는 시스템의 파급효과에 대한 예측은 무척 난해한 문제이다. 이러한 e-transformation이 이루어지는 경우에는 지속적으로 모델의 수정 및 보완작업이 함께 이루어져야 한다. 이에 본 연구에서는 전자정부 정보화사업 중 하나인 G2B 시스템의 효과평가를 위해 EEM (E-transformation Evaluation Model)으로 명명한 새로운 모델과 평가방법론을 제시하고자한다. EEM 모델은 G2B 시스템으로 인해 e-transformation화된 업무프로세스 영역(온라인 영역)의 효과를 화폐가치로 산출하는 정량평가 모델이다. 또한 아직 G2B 시스템이 적응되지 않은 업무프로세스 영역(오프라인 영역)을 정보화시켰을 때 예상되는 효과를 함께 추정할 수 있도록 해준다. EEM 모델에서는 기준모델, 검증모델, 예측모델을 설정하고, 평가년도, 측정영역, 데이터종류에 따라 설문데이터와 DB 데이터를 함께 활용하여 모델을 검증하며 효과를 예측한다. 본 연구에서는 온라인과 오프라인 효과를 효과적으로 평가하기 위해 5단계와 10개의 세부절차로 구성된 EEM평가방법론을 제시하였다. 또한 제시된 방법론을 활용하여 대한민국 전자조달 G2B 시스템에 대해서 평가분석을 실시하였다. 본 연구에서 제시된 EEM 모델과 평가방볍론은 평가대상에 따라 다각적인 적응이 가능하므로 향후 전자정부 정보화사업의 효과평가와 정책수립에 도움이 될 것으로 기대된다. 뿐만 아니라 민간기업의 대형시스템 도입 효과평가에도 도움이 될 것으로 사료된다.

• 한국물환경학회지
• /
• 제38권2호
• /
• pp.63-71
• /
• 2022

This study aimed to maximize the potential of fluorescence 3D excitation-emission matrix (EEM) for predicting the trihalomethane formation potential (THMFP) of DOM with various sources. Fluorescence spectroscopy is a useful tool for characterizing dissolved organic matter (DOM). In this study, differential spectroscopy was applied to EEM for the prediction of THMFP, in which the difference between the EEM before and after chlorination was taken into account to obtain the differential EEM (DEEM). For characterization of the original EEM or the DEEM, the maximum intensities of several different fluorescence regions in EEM, fluorescence EEM regional integration (FRI), and humification index (HIX) were calculated and used for the surrogates for THMFP prediction. After chlorination, the fluorescence intensity decreased by 77% to 93%. In leaf-derived and effluent DOM, there was a significant decrease in the protein-like peak, while a more pronounced decrease was observed in the humic-like peak of river DOM. In general, leaf-derived and effluent DOM exhibited a relatively lower THMFP than the river DOM. Our results were consistent with the high correlations between humic-like fluorescence and THMFP previously reported. In this study, HIX (r= 0.815, p<0.001), FRI region V (r=0.727, p<0.001), humic-like peak (r= 0.827, p<0.001) from DEEM presented very high correlations with THMF P. When the humic-like peak intensity was converted to a logarithmic scale, a higher correlation was obtained (r= 0.928, p<0.001). This finding suggests that the humic-like peak in DEEM can serve as a universal predictor for THM formation of DOM with various origins.

• 대한치과교정학회지
• /
• 제45권4호
• /
• pp.190-197
• /
• 2015

Objective: The aim of the study was to analyze the prevalence and distribution of ectopic eruption of the permanent maxillary first molar (EEM) in individuals scheduled for orthodontic treatment and to investigate the association of EEM with dental characteristics, maxillary skeletal features, crowding, and other dental anomalies. Methods: A total of 1,317 individuals were included and randomly divided into two groups. The first 265 subjects were included as controls, while the remaining 1,052 subjects included the sample from which the final experimental EEM group was derived. The mesiodistal (M-D) crown width of the deciduous maxillary second molar and permanent maxillary first molar, maxillary arch length (A-PML), maxillomandibular transverse skeletal relationships (anterior and posterior transverse interarch discrepancies, ATID and PTID), maxillary and mandibular tooth crowding, and the presence of dental anomalies were recorded for each subject, and the statistical significance of differences in these parameters between the EEM and control groups was determined using independent sample t -tests. Chi-square tests were used to compare the prevalence of other dental anomalies between the two groups. Results: The prevalence of maxillary EEM was 2.5%. The M-D crown widths, ATID and PTID, and tooth crowding were significantly greater, while A-PML was significantly smaller, in the EEM group than in the control group. Only two subjects showed an association between EEM and maxillary lateral incisor anomalies, which included agenesis in one and microdontia in the other. Conclusions: EEM may be a risk factor for maxillary arch constriction and severe tooth crowding.

• 동아시아식생활학회지
• /
• 제25권6호
• /
• pp.999-1006
• /
• 2015

Bitter melon (Momordica charantia L.) has been used as a medicinal plant due to its biological activity. This study investigated the inhibitory effects on carbohydrase and anti-inflammatory effects of hot-water extract (WEM) and ethanol extract (EEM) from dried bitter melon cultivated in Korea. The inhibitory activities of EEM against ${\alpha}$-amylase and ${\alpha}$-glucosidase were over 70% at 4,000 ppm. The inhibitory activities of EEM were significantly higher than those of WEM at all concentrations. The anti-inflammatory effects were evaluated by measuring nitric oxide (NO) production in LPS-stimulated RAW264.7 cells. EEM did not show cytotoxicity on RAW264.7 cells at the test concentrations. Moreover, the inhibitory effect on NO production in LPS-stimulated RAW264.7 cells was significantly increased by the addition of EEM. These findings suggest that EEM has good inhibitory effect on carbohydrase and anti-inflammatory activity and it has potential as a source of natural functional material.

• 대한산업공학회지
• /
• 제36권1호
• /
• pp.69-77
• /
• 2010

The failure rate model of External Environment Maintenance(EEM) for a system under severe environment is investigated. EEM, which is recently introduced concept, is a maintenance activity controlling external environment factors that potentially cause system failure such as cleaning equipment, controlling temperature (humidity) and removing dust inside of electronic appliances. EEM can not have any influence on the inherent failure rate of a system but reduce the severity of the external environment causing failure since it deals with only external environment factors. Therefore, we propose two failure rate models to express the improvement effect of EEM: The intensity reduction model and age reduction model. The intensity and age reduction models of EEM are developed assuming the quality of improvement effect is proportioned to an extra intensity or age respectively. The validation of proposed failure rate models is performed in order of data generation, parameter estimation and test for goodness-of-fit.

• International Journal of Quality Innovation
• /
• 제4권1호
• /
• pp.92-115
• /
• 2003

In this paper some of the main management control theories are reviewed and six dominating paradigms are identified. The identified management control paradigms are compared and analysed in relationship with the European Excellence Model (EEM) in order to investigate whether the EEM can be adopted as a management control model. Based on the analysis. advantages as well as disadvantages of the EEM as control model are discussed.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1997년도 춘계학술대회 논문집
• /
• pp.1009-1014
• /
• 1997

The small material removal rate of elastic emission machinong (EEM) becomes a serious problem due to using fine powder particles for obtaining finished of high quality. If a cylindrical polyurethane-wheel is used as a tool for accelerating powder particles, the efficiency of machining may be increased through enlarging the machining regionand increasing the surface velocity of the wheel. If these analyicl results are compared with experimental ones, characteristics of EEM using polyurethan-wheel can be clarified. In this study, effects of EEM using cylindrical polyurethane-wheel on the surface roughness and the material removal rate were verified through polishing of the brittle material under various conditions. The high-efficient polishing of silicon wafer has been also carried out using this method.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2005년도 공동추계학술대회
• /
• pp.437-441
• /
• 2005

수많은 정보시스템들이 기업 및 조직에 도입되고 있다. 이러한 정보시스템들의 도입 효과 분석에는 많은 어려움이 따르는데, 특히 기존의 시스템을 e-business화 하는 e-transformation화 되고 있는 진행중인 시스템에 대한 평가는 난해면이 많다. 이에 본 논문에서는 이러한 경우의 정보시스템 효과평가를 위한 모델 수립을 위한 탐색적 연구 결과를 소개하고자 한다. 본 논문에서는 기존문헌 고찰을 통해 정보시스템 성과평가를 위한 모델과 방법론의 한계 및 이슈를 도출하고, 이를 극복하기 위해 EEM(E-transformation Evaluation Model) 모델과 방법론 구축의 필요성을 도출한다. EEM모델에서는 정보시스템도입의 현재 효과평가뿐만 아니라 현재에는 IT 효과가 일어나지 않지만 향후 정보시스템을 통한 IT효과측정이 가능하므로 측정대상에 따라 다각적인 적용이 가능하여 기업의 정책수립에 큰 도움이 되리라 사료된다.

• 동의생리병리학회지
• /
• 제20권6호
• /
• pp.1477-1484
• /
• 2006

This experimental study was designed to investigate the effects of Acanthopanax sessiliflorus $S_{EEM}$ extracts following gamma-ray irradiation on the change of weight, the serum total cholesterol, HDL-cholesterol, LDL-cholesterol, triglyceride, free fatty acid, total lipid, phospholipid level in obese mice induced by high fat diet, and the change of regional cerebral blood flow (rCBF) and blood pressure (BP) in normal rats. Experimental materials were as follows ; 10AS was the bark powder of Acanthopanax sessiliflorus $S_{EEM}$ stems which was exposed in 10 kGy electron beam, 10AS was the bark powder of Acanthopanax sessiliflorus $S_{EEM}$ roots which was exposed in 10 kGy electron beam, 100S was the bark powder of Acanthopanax sessiliflorus $S_{EEM}$ stems which was exposed in 100 kGy electron beam, Experimental groups were as follows ; Normal group was fed with normal diet and administered with distilled water during 5 weeks, Control group was fed with high fat diet and administered with distilled water during 5 weeks, Sample A group was fed with high fat diet and administered with 10AS of 300 mg/kg/mouse/day during 5 weeks, Sample B group was fed with high fat diet and administered with 10AR of 300 mg/kg/mouse/day during 5 weeks, Sample C group was fed with high fat diet and administered with 100AS of 300 mg/kg/mouse/day during 5 weeks. The results were as follows ; Sample A group, Sample B group and Sample C group were significantly decreased body weight and the serum LDL-cholesterol, triglyceride, total lipid level in comparison with Control group. Sample A group, Sample B group and Sample C group were significantly increased the serum HDL-cholesterol level in comparison with Control group. Sample B group and Sample C group were significantly decreased the serum total cholesterol, free fatty acid and phospholipid level in comparison with Control group. This results were suggested that all experimental materials were able to be used for the obesity. 10AS did not changed rCBF and MABP in a dose-dependent manner. 10AR significantly increased rCBR in a dose-dependent manner, and BP did not change in a dose-dependent manner. 100AS decreased rCBF and BP in a dose-dependent manner. This results were suggested that 10 AR significantly increased rCBF by dilating pial arterial diameter. According to above results, the authors suggested that 10AR was able to be used for the obesity and ischemic disease.

• Korean Circulation Journal
• /
• 제54권1호
• /
• pp.30-39
• /
• 2024

Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.