• Korean Chemical Engineering Research
• /
• v.46 no.6
• /
• pp.1087-1094
• /
• 2008

This article presents a multi-scale simulation approach starting from the molecular level for the adsorption process development, specifically, in n-hexane adsorption on activated carbon. A grand canonical Monte-Carlo(GCMC) method is used for the prediction of adsorption isotherms of n-hexane on activated carbon at the molecular level. Geometric effects and hydrodynamic properties of the adsorption column are examined by means of the two dimensional CFD(computational fluid dynamics) simulation. The adsorption isotherms from the molecular simulation and the axial diffusivity from the CFD simulation are exploited for the process simulation where the elution curve of n-hexane is obtained. For the first moment(mean residence time) of the pulse-response with respect to temperature and flowrate, the process simulation results obtained from this three-steps multiscale simulation approach show a good agreement with experimental data within 20% of maximum difference. The multi-scale simulation approach addressed in this study will be useful to accelerate the adsorption process development, while reducing the number of experiments required.

• Applied Chemistry for Engineering
• /
• v.33 no.5
• /
• pp.451-458
• /
• 2022

Semiconductor quantum dots (QDs) are optical probes with excellent fluorescence properties. Therefore, they have been applied to various bio-medical imaging techniques and biosensors. Due to the unique optical characteristics of wide absorption and narrow fluorescence energy bands, multiple types of signals can be generated by the combination of fluorescence wavelengths from different QDs, which enables the simultaneous detection of more than two biomarkers. In this review, the advantages and applications of QDs and QD nanobeads (QBs) in multiple biomarker assays were described, and new developments or improvements in multiplexed biomarker detection techniques were summarized. In particular, recent reports were summarized, focusing on the design strategies in immunoassay construction and signal transducing materials for fluorescence-linked immunosorbent assays using QDs and immunochromatographic assays using QBs. New detection platforms will be developed for early diagnosis of diseases and other fields if multiplexed detection technologies of excellent accuracy and sensitivity are combined with artificial intelligence algorithms.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2010.09a
• /
• pp.283-285
• /
• 2010

도시 계획의 중요성이 부각되면서 다양한 도시 통합 모델의 개발이 이루어져왔으나 기존 모델들은 거시적 측면의 토지이용의 변화만 다루는 한계점이 있다. 본 논문은 토지이용 변화뿐만 아니라 다양한 사회 경제 지표를 반영하여 미시적인 분석이 가능한 UrbanSim 모델을 사용하여 사례연구를 통한 국내 도입 가능성과 시사점을 도출하고자 하였다. 이를 위해 수치지적도, 건축물 대장, 개별 공시지가 등 다양한 시공간 데이터를 이용하여 $150{\times}150m$ 그리드 셀 기반의 입력 데이터베이스를 구축하고 UrbanSim의 Land Price Model에 적용하였다. 향후 보다 현실적인 모델 수행을 위한 다중 스케일 및 Synthetic 데이터 구축 방안과 접근성 측면의 교통 통합 모델로 확장이 요구된다.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2000.11a
• /
• pp.217-219
• /
• 2000

도시기온분포에 영향을 미치는 요인은 매우 복잡하기 때문에 최근 세부적인 도시열환경 분포현황을 파악하기 위해서 국지규모 모델을 이용하여 그 사례를 밝히고 있다. 도시의 열환경구조가 land use와 밀접한 관련이 있다는 것은 이미 밝혀진 사실이나 보다 상세 격자를 이용한 도시지역의 열환경구조를 land use와 관련지어 연구 분석한 사례는 국내에서 거의 없는 실정이다. 즉, 국지지역의 열환경변화를 묘사하기 위해서는 종관기상장과 관련된 초기 및 경계조건 결정의 문제점을 해결하기 위한 다중격자체계의 모델 사용이 요구되는 실정이다. (중략)

• Journal of the Korean Data Analysis Society
• /
• v.20 no.6
• /
• pp.2813-2827
• /
• 2018

Progressive censoring schemes have become quite popular in reliability study. Under progressive censored data, however, some units can be failed between two points of observation with exact times of failure of these units unobserved. For example, loss may arise in life-testing experiments when the failure times of some units were not observed due to mechanical or experimental difficulties. Therefore, multiply progressive censoring scheme was introduced. So, we derives a maximum likelihood estimator of the parameter of exponential distribution. And we introduced the goodness-of-fit test statistics using order statistic and Lorenz curve. We carried out Monte Carlo simulation to compare the proposed test statistics. In addition, real data set have been analysed. In Weibull and chi-squared distributions, the test statistics using Lorenz curve are more powerful than test statistics using order statistics.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.47-57
• /
• 2022

Demands for tangible contents using VR/AR technologies are much bigger as contactless services such as sports, physical activity, and fitness are expanded after COVID-19. A variety of technologies such as an offer and analysis of tangible data through a sensor technology, users' physical movement sensing through a motion recognition sensor, a real-time measurement of a physical skeleton point a multiple access to a real-time video, and AI training are being utilized as main technologies. This case study utilized motion recognition technologies as the study on tangible contents necessary for indoor-based physical education, sports, and fitness in the contactless environment and suggested cases to develop the physical measurement contents by design approach for the measurement assessment necessary for the development in tangible contents. The research established lists of the measurement assessment based on professionals' consultations within the measurement assessment function through the test to plan tangible contents and developed tangible contents by reflecting them as assessment measurement elements of tangible contents. The research can be utilized as the design approach of industrial companies which intend to develop tangible contents as well as reference cases of the research on contactless tangible contents for the sports and physical education.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 2006.05a
• /
• pp.371-376
• /
• 2006

서로 갈등적인 관계에 있는 다중 기준 하에서 다양한 국가 전력 시스템을 정량적으로 비교하는 데에는 전력 시스템의 비교 지표가 필요하다. 이러한 비교 지표를 산출하기 위하여 해석적 망형 과정(Analytic Network Process; ANP) 모델 가운데 상호 의존도 수중이 낮은 되먹임 모델 및 상호 의존도가 없는 독립성 모델이 개발되었다. 이러한 ANP 모델은 구성요소로 교점들(nodes)과 상호작용 관계를 표현하는 가지들(arcs)을 포함하고 있다. 의사결정 목표 교점에는 세 가지 유형의 리스크 성향이 포함되었다. 이러한 리스크 성향은 원자력 발전소 같은 위험 설비에 대한 전문가(그룹)의 리스크 성향이며, 더 구체적으로 말하면, 리스크 감수 성향, 리스크 혐오 성향, 리스크 중립 성향 등이다. 여기서 수행된 연구의 주요 목적은 ANP 모델을 구성하는 교점들 가운데 하나인 평가 기준 교점에서의 변화가 전력 시스템의 비교 지표에 미치는 영향을 해석하려는 것이다. 이러한 모델 변이가 비교 지표에 미치는 영향을 알아보기 위한 사례 연구에서 각 발전원의 특성을 비교할 평가 기준은 기준 사례와 비교 사례 각각에 대하여 상이하게 선정되었다: 기준 사례의 경우에는 보건성을 대표하는 생명 단축 [yr/TWh], 환경성을 대표하는 지구 온난화 [$g\;CO_{2}-eq./kWh$], 사회성을 대표하는 지속가능 정도[-], 경제성을 대표하는 발전 단가 [\/kWh] 등이 선정되었다; 반면에, 비교 사례의 경우에서는 보건성을 대표하는 사고 사망 [death/GWh]만이 다르고 나머지는 동일하게 선정되었다. 이러한 보건성을 대표하는 생명 단축 또는 사고 사망의 선정은 다음과 같은 비교 지표에 영향을 미친다는 것이 발견되었다: (1) 되먹임 모델에서는 성향 가중치 및 기준 등급에 영향을 준다. (2) 되먹임 모델과 독립성 모델에서는 시스템 등급에 영향을 준다. 향후에는 더욱 더 다양한 상호의존 모델들이 정량화될 필요성이 있다고 본다.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.253-256
• /
• 2009

This paper describes a vertical search system based on multiple entity-centric unification, which enables to deal with the search queries including multiple domains. To implement the system, we introduced two search technologies; one is for merging service components dynamically according to the entities in the search keywords, and the other is for searching fields with appropriate entities. Our current system includes about 453,000 overseas journal papers for article information search and two entity types; research topic and researcher.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1035-1046
• /
• 2022

This study evaluated the applicability of multi-resolution data fusion for land-cover classification. In the applicability evaluation, a spatial time-series geostatistical deconvolution/fusion model (STGDFM) was applied as a multi-resolution data fusion model. The study area was selected as some agricultural lands in Iowa State, United States. As input data for multi-resolution data fusion, Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite images were used considering the landscape of study area. Based on this, synthetic Landsat images were generated at the missing date of Landsat images by applying STGDFM. Then, land-cover classification was performed using both the acquired Landsat images and the STGDFM fusion results as input data. In particular, to evaluate the applicability of multi-resolution data fusion, two classification results using only Landsat images and using both Landsat images and fusion results were compared and evaluated. As a result, in the classification result using only Landsat images, the mixed patterns were prominent in the corn and soybean cultivation areas, which are the main land-cover type in study area. In addition, the mixed patterns between land-cover types of vegetation such as hay and grain areas and grass areas were presented to be large. On the other hand, in the classification result using both Landsat images and fusion results, these mixed patterns between land-cover types of vegetation as well as corn and soybean were greatly alleviated. Due to this, the classification accuracy was improved by about 20%p in the classification result using both Landsat images and fusion results. It was considered that the missing of the Landsat images could be compensated for by reflecting the time-series spectral information of the MODIS images in the fusion results through STGDFM. This study confirmed that multi-resolution data fusion can be effectively applied to land-cover classification.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.22 no.2
• /
• pp.63-70
• /
• 2008

This paper resents the spatial electric load forecasting algorithm using the multiple regression analysis method which is enhanced from the algorithm of the DISPLAN(Distribution Information System PLAN). In order to improve the accuracy of the spatial electrical load forecasting, input variables are selected for GRDP(Gross Regional Domestic Product), the local population and the electrical load sales of the past year. Tests are performed to analyze the accuracy of the proposed method for Gyeong-San City, Gu-Mi City, Gim-Cheon City and Yeong-Ju City of North Gyeongsang Province. Test results show that the overall accuracy of the proposed method is improved the percentage error 11.2[%] over 12[%] of the DISPLAN. Specially, the accuracy is enhanced a lot in the case of high variability of input variables. The proposed method will be used to forecast local electric loads for the optimal investment of distribution systems.