• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.702-704
• /
• 2017

In case of dismantling of nuclear power generation facility or radiation accident, the accurate information of gammaray source is essential for rapid decontamination. In order to more efficiently represent the position of the gamma ray to be removed, we create a spatial domain based on the real image. And we can perform decontamination of gamma-ray source more quickly by expressing the distribution of radiation source. The developed gamma ray imaging device overlaps with the visible image after gamma - ray detection and provides only two - dimensional image, but it does not show the distance information to the source. In this paper, we have developed a operation environment using the 3D visualization model for reporting effective decontamination operation.

• The KIPS Transactions:PartB
• /
• v.15B no.3
• /
• pp.219-228
• /
• 2008

For real-time social networking service, mobile interaction in a usable-unified-ubiquitous (U3) web service was studied. Both as a convenient mobile HCI for real-time social networks and as indexing keys to metadata information in ubiquitous web service, the multi-lingual single-character domain names (e.g. 김.net, 이.net, 가.net, ㄱ.net, ㄴ.net, ㅎ.net, ㅏ.net, ㅔ.net, ㄱ.com, ㅎ.com) are convenient mobile interfaces when searching for social information and registering information. We introduce the sketched design goals and experience of mobile interaction in Korea, Japan and China, with the implementation of real-time social networking service as an example of U3 Web service. We also introduce the possibility of extending the application to the metadata directory service in IP-USN (IP-based Ubiquitous Sensor Network) for a unified information management in the service of social networking and sensor networking.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.11
• /
• pp.2786-2800
• /
• 1997

In this paper, we investigate how well the channel memory (statistical dependence in the occurrence of transmission errors) can be used in the evaluation of widely used error control schemes. For this we assume a special case named as the simplest Markovian block-error pattern with two states, in which each block is classified into two classes of whether the block transmission is in error or not. We apply the derived pattern to the performance evaluation of the practical link-level procedures, LAPB/D/M with multi-reject options, and investigate both throughput and user-perceived response time behaviors on the discrete-time domain to determine how much the performance of error recovery action is improved under burst error condition. Through numerical examples, we show that the simplest Markovian block-error pattern tends to be superior in throughput and delay characteristics to the random error case. Also, instead of mean alone, we propose a new measure of the response time specified as mean plus two standard deviations 50 as to consider user-perceived worst cases, and show that it results in much greater sensitivity to parameter variations than does mean alone.

• Journal of Soil and Groundwater Environment
• /
• v.17 no.5
• /
• pp.56-67
• /
• 2012

In the present study, an enhanced subsurface prediction algorithm based on a non-parametric geostatistical model and a history matching technique through Gibbs sampler is developed and the iterative prediction improvement procedure is proposed. The developed model is applied to a simple two-dimensional synthetic case where domain is composed of three different hydrogeologic media with $500m{\times}40m$ scale. In the application, it is assumed that there are 4 independent pumping tests performed at different vertical interval and the history curves are acquired through numerical modeling. With two hypothetical borehole information and pumping test data, the proposed prediction model is applied iteratively and continuous improvements of the predictions with reduced uncertainties of the media distribution are observed. From the results and the qualitative/quantitative analysis, it is concluded that the proposed model is good for the subsurface prediction improvements where the history data is available as a supportive information. Once the proposed model be a matured technique, it is believed that the model can be applied to many groundwater, geothermal, gas and oil problems with conventional fluid flow simulators. However, the overall development is still in its preliminary step and further considerations needs to be incorporated to be a viable and practical prediction technique including multi-dimensional verifications, global optimization, etc. which have not been resolved in the present study.

• Journal of Wetlands Research
• /
• v.15 no.1
• /
• pp.59-69
• /
• 2013

The numerical simulations were performed to analyze the advection-diffusion processes of dredging-induced turbidity plume using RMA2 and RMA4 models in Bunam reservoir, Seosan, Chungnam. Field survey was also performed to measure the turbidity using the multi water quality monitoring system (YSI6600EDS). In the field survey, the vertical and horizontal distributions of the turbidity were measured during the dredging operation in Bunam reservoir. RMA2 model was used to simulate the velocity distributions in both the whole domain and the 2nd part of Bunam reservoir. RMA4 model was also used to simulate the concentration distribution in only the 2nd part of Bunam reservoir, where the dredging work were conducted. The comparison of the simulation results with the field data for the advection-diffusion of the turbidity plume using the concentration ratio concepts shows that the numerical model can be applied to analyze the environmental impact of dredging works.

• Journal of KIISE:Software and Applications
• /
• v.30 no.11
• /
• pp.1001-1014
• /
• 2003

In a feature modeling, problems such as ambiguities, interpretation errors, incompleteness, etc caused by informal specification occur in the modeling phase. Therefore, feature specification method and processes are suggested in this paper to resolve these problems. The structure and language of feature modeling is defined in this paper to specify various features. First, this feature model is abstracted in the meta-level to get predicates and attributes. Formal feature model specification method is proposed using multi-paradigm language. Second, Feature specification process is proposed to describe how to specify feature formally. And third, Feature interaction management is defined to solve the problems caused between specified features. Finally, the proposed feature specification method is applied to Distributed Meeting Scheduler System domain.

• Journal of Korean Clinical Nursing Research
• /
• v.25 no.3
• /
• pp.251-264
• /
• 2019

Purpose: This study was a systematic review and meta-analysis to explore the factors related to quality of life in heart transplant recipients. Methods: To identify studies that suggested the factors related to the quality of life in heart transplant recipients, we searched the articles published from 1974 to November 2018 using Six databases, PubMed, CINAHL, EMBASE, Cochrane, KMBASE and RISS. A total of 22 studies were selected out of 5,234 for the systematic review and meta-analysis on the basis of the PRISMA flow. The quality of study was assessed by assessment tool form the NIH and meta-analysis was performed using the 'R 3.5.2' version to analyze the correlated effect sizes. Results: Factors related to quality of life in heart transplant recipients were categorized into six domains based on the health-related quality of life model introduced by Ferrans: individual, environmental, biological function, symptoms, functional status, and general health perception. In the meta-analysis, 34 factors were used and 17 factors having significant effect sizes were as follows: self-efficacy, demoralization, perceived control, current occupational status, age, marital status, health promotion life style in the individual characteristics; stress in environmental characteristics; physical function status, creatinine level, left ventricular ejection fraction (LVEF) in biological function; anxiety, depression, symptom frequency and distress in symptoms domain; coping, self-care compliance in functional status. Conclusion: The findings indicate that the multi-dimensional factors influencing the quality of life in heart transplant recipients and provide the evidence for developing effective interventions for improving the quality of life of recipients.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.102-102
• /
• 2017

갈수시 하천의 수질문제는 다양한 요인에 의해 발생하고 제어된다. 수질 그 자체는 상류나 지류의 점오염원과 비점오염원의 증가 또는 예상치 못한 추가적인 오염원의 유출에 직접 영향을 받으며, 조류 등의 발생도 영향인자인 수온 및 일사량 또는 바람에 의존적이다. 최근 수년간은 특히 빈번한 가뭄조건의 발생으로 인하여 갈수기의 강우 및 유출량이 저조하여 상대적으로 하천의 조류발생이 다수 발견되고 보고된 바 있다. 이와 같은 수질의 이상상태를 일시적으로라도 제어하기 위한 방편으로 유량의 증가, 인위적인 하천 수위의 변동 및 유속 변동 등이 고려될 수 있으며, 이를 위해서는 상류의 댐과 하천의 다기능보 등의 조절을 탄력적으로 수행하여야 한다. 이와 같은 시설물 운영효과는 수질문제의 원인을 근본적으로 해결하는 것은 아니지만, 이의 일시적인 효과를 극대화하기 위해서는 기존의 수리 수질 모델링이 이상 수질 발생시의 방제 및 사후분석 등을 중심으로 이루어진 부분을 넘어서, 사전 설정된 조건에 의한 예측모의와 가이드라인의 연계방식이 효과적일 것이다. 본 연구는 수질 이상이 빈번히 발생되었던 낙동강의 칠곡 하류 하천을 중심으로 2차원 CE-QUAL-W2 모형과 EFDC모형을 병행 모의하여 다기능보 인근의 표층과 저층의 수온(밀도) 성층화 및 이의 해소와 관련된 수리모의 및 수질인자에 대한 영향을 분석하였다. 수리모형 구축의 적정성은 현장의 실측 수온과 모의결과 비교를 통해 확인하였으며, 구축된 수리 수질 모델을 이용하여 추가방류량 3~23백만$m^3$ 규모에서 발생하는 수리적인 수층혼합 현상과 일시적으로 저감가능한 수질개선 효과가 의미있는 수준으로 나타날 수 있음을 예측하였다. 또한, 다기능보의 수문방류 모의시에 개방조건을 0.3~3.5m로 달리하여 방류기간 중 총방류량이 유사하더라도 최대방류량 또는 유속이 충분치 않은 경우에는 혼합효과가 급격히 감소함을 알 수 있었다. 연구에서 밝혀진 조건들을 향후 보다 효과적으로 수치모의하기 위한 방안으로서 EFDC모형의 내부경계조건을 다기능보의 문비조건(RSG, Lift 등)에 맞게 조정하는 방법을 제안하고 그 적용성을 검토한 뒤 모형을 부분 수정하여 제시하였다.

• Current Optics and Photonics
• /
• v.4 no.4
• /
• pp.286-292
• /
• 2020

Imaging through multicore fiber (MCF) is of great significance in the biomedical domain. Although several techniques have been developed to image an object from a signal passing through MCF, these methods are strongly dependent on the surroundings, such as vibration and the temperature fluctuation of the fiber's environment. In this paper, we apply a new, strong technique called deep learning to reconstruct the phase image through a MCF in which each core is multimode. To evaluate the network, we employ the binary cross-entropy as the loss function of a convolutional neural network (CNN) with improved U-net structure. The high-quality reconstruction of input objects upon spatial light modulation (SLM) can be realized from the speckle patterns of intensity that contain the information about the objects. Moreover, we study the effect of MCF length on image recovery. It is shown that the shorter the fiber, the better the imaging quality. Based on our findings, MCF may have applications in fields such as endoscopic imaging and optical communication.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.17 no.2
• /
• pp.227-234
• /
• 2019

A user-friendly modeling interface is developed for a process-based total system performance assessment framework (APro) specialized for a generic geological disposal system for high-level radioactive waste. The APro modeling interface is constructed using MATLAB, and the operator splitting scheme is used to combine COMSOL for simulation of multiphysics and PHREEQC for the calculation of geochemical reactions. As APro limits the modeling domain to the generic disposal system, the degree of freedom of the model is low. In contrast, the user-friendliness of the model is improved. Thermal, hydraulic, mechanical and chemical processes considered in the disposal system are modularized, and users can select one of multiple modules: "Default process" and multi "Alternative process". APro mainly consists of an input data part and calculation execution part. The input data are prepared in a single EXCEL file with a given format, and the calculation part is coded using MATLAB. The final results of the calculation are created as an independent COMSOL file for further analysis.