• The Korean Journal of Nuclear Medicine
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• v.2 no.1
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• pp.15-19
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• 1968

정맥에 주사된 교양(膠樣) 방사성물질은 간(肝)에 있는 Kupffer 세포가 가진 탐식작용에 의해서 혈류로 부터 거의 완전히 제거된다. 이 원리는 정상인(正常入)과 간(肝)경변증환자에서 간(肝)혈류량을 측정하는데 이용된다. 일반적으로 간(肝)경변증때에는 간(肝)에서의 교양물질 추출율이 저하되기 때문에 혈중에서의 제거가 늦어진다하며, Shaldon 등은 혈중제거율측정을 이용하여, 추출율의 저하가 간내(肝內)에서 생기는 동맥과 정맥간의 단락(短絡) 때문에 초래되는 것을 증명하였다. 최근 혈중제거율을 몇가지 간(肝)질환을 진단하는데 이용한 보고가 나왔다. 그러나 그 방법에 대한 상세한 검토가 없었던 것 같다. 저자는 이번 연구에서 손쉽게 얻을 수 있는 교양$^{198}$금(金)을 사용하여 교양물질의 혈중제거율 측정방법을 검토하여 이 검사가 임상에서 통상적(通常的)으로 쓰일 수 있음을 밝혔다. (1) 정상인과 환자가 섞인 52명을 대상으로 동일인에서 $24{\sim}48$ 시간 간격을 두고 반복측정한 혈중제거율치의 오차는 통계학적으로 무시할 수 있었으며, 따라서 이측정은 근소한 오차한계내에서 되풀이할 수 있는 것을 알았다. (2) 정상인 172명에서 얻은 측정치를 토대로 하여 혈중제거율 정상치가 $3.31{\pm}0.73$분임을 알았다(교양 금(金) 입자의 크기에 따라 이 측청치는 달라진다). (3) 조직검사로 진단이 확정된 간(肝)경변증환자 23명을 조사하여 91.3%에서 혈중제거율이 정상한계를 넘어 연장(延長)되는 것을 알았다. 결론으로 혈중제거율검사는 임상에서 손쉽게 실시할 수 있는 간(肝)기능검사가 될 수 있다고 생각되며, 특히 간(肝)경변증을 진단하는데 도움이 된다고 믿는다.

• Korean Journal of Microbiology
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• v.25 no.1
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• pp.57-66
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• 1987

Mutants of E. coli which showed increased sensitivity to MMS(methylmethane sulfonate)were isolated by MNNG mutagenesis and characterized by enzymatic assay, survival of simple alkylating agents and host-cell reactivation. E.coli mutant, 5-62, which showed absolute deficiency in 3-methyladenine DNA glycosylase II activity and had low capability of reactivating MMS-treated phage charon 35 was very sensitive to MMS and MNNG. NNS gene which confered resistance to the lethal effects of MMS was cloned in 5-62 strain. 5-62 mutants carrying recombinant plasmid, pMRG 1, which acquired resistance to the lethal effects of MMS had normal sensitivity to MNNG. Resistance to MMS was somewhat increased after they were treated with 0.5.$\mu$g MNNG/ml for 2 hours at $37^{\circ}C$. Although recombinant plasmid, pMRG 1, did not complement alk A mutation in 5-62 and ada mutation in 1-27 mutnat, mutnats transformed with this plasmid showed more capability of reactivating MMS treated phage than mutants.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1155-1163
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• 2011

In this paper, we propose a new pre-processing algorithm applied to depth map to improve the coding efficiency. Now, 3DV/FTV group in the MPEG is working for standard of 3DVC(3D video coding), but compression method for depth map images are not confirmed yet. In the proposed algorithm, after dividing the histogram distribution of a given depth map by EM clustering method based on GMM, we classify the depth map into several layered images. Then, we apply different mean shift filter to each classified image according to the existence of background or foreground in it. In other words, we try to maximize the coding efficiency while keeping the boundary of each object and taking average operation toward inner field of the boundary. The experiments are performed with many test images and the results show that the proposed algorithm achieves bits reduction of 19% ~ 20% and computation time is also reduced.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.1
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• pp.25-35
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• 2002

Many multimedia presentation applications involve retrieval of objects from more than one collaborating server. Presentations of objects from different collaborating servers might be interdependent. This implies that objects should be retrieved from remote servers and delivered continuously according to given time constraints. Such applications need an estimate of the avaliable network resources to each of the collaborating servers and local system resources in order to identify a schedule for retrieving the objects composing the presentation. A collaborating server can suggest modifications of the retrieval schedule depending on its load. these modifications can potentially affect the retrieval schedule for other collaborating applications. Hence, a sequence of negotiations has to be carried out with the collaborating servers in order to commit for a retrieval schedule of the objects composing the presentation. In this paper, we propose an application sub-layer protocol, RLCP(Resource Lock Commit Protocol), for handling the negotiation and commitment of the resources required for a collaborative multimedia presentation and apply it to distributed video presentation application.

• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.13-28
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• 2021

Reinforcement Learning (RL) is a machine learning algorithm that repeat the closed-loop process that agents perform actions specified by the policy, the action is evaluated with a reward function, and the policy gets updated accordingly. The key benefit of RL is the ability to optimze the policy with action evaluation. Hence, it can effectively be applied to developing advanced intelligent systems and autonomous systems. Conventional RL incoporates a single policy, a reward function, and relatively simple policy update, and hence its utilization was limited. In this paper, we propose an extended RL model that considers multiple instances of RL elements. We define a formal model of the key elements and their computing model of the extended RL. Then, we propose design methods for applying to system development. As a case stud of applying the proposed formal model and the design methods, we present the design and implementation of an advanced car navigator system that guides multiple cars to reaching their destinations efficiently.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.326-326
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• 2021

장기간에 걸쳐 넓은 지역에 대해 발생하는 가뭄을 예측하기위해 많은 학자들의 기술적, 학술적 시도가 있어왔다. 본 연구에서는 복잡한 시계열을 가진 가뭄을 전망하는 방법 중 시나리오에 기반을 둔 가뭄전망 방법과 실시간으로 가뭄을 예측하는 비시나리오 기반의 방법 등을 이용하여 미래 가뭄전망을 실시했다. 시나리오에 기반을 둔 가뭄전망 방법으로는, 3개월 GCM(General Circulation Model) 예측 결과를 바탕으로 2009년도 PDSI(Palmer Drought Severity Index) 가뭄지수를 산정하여 가뭄심도에 대한 단기예측을 실시하였다. 또, 통계학적 방법과 물리적 모델(Physical model)에 기반을 둔 확정론적 수치해석 방법을 이용하여 비시나리오 기반 가뭄을 예측했다. 기존 가뭄을 통계학적 방법으로 예측하기 위해서 시도된 대표적인 방법으로 ARIMA(Autoregressive Integrated Moving Average) 모델의 예측에 대한 한계를 극복하기위해 서포트 벡터 회귀(support vector regression, SVR)와 웨이블릿(wavelet neural network) 신경망을 이용해 SPI를 측정하였다. 최적모델구조는 RMSE(root mean square error), MAE(mean absolute error) 및 R(correlation Coefficient)를 통해 선정하였고, 1-6개월의 선행예보 시간을 갖고 가뭄을 전망하였다. 그리고 SPI를 이용하여, 마코프 연쇄(Markov chain) 및 대수선형모델(log-linear model)을 적용하여 SPI기반 가뭄예측의 정확도를 검증하였으며, 터키의 아나톨리아(Anatolia) 지역을 대상으로 뉴로퍼지모델(Neuro-Fuzzy)을 적용하여 1964-2006년 기간의 월평균 강수량과 SPI를 바탕으로 가뭄을 예측하였다. 가뭄 빈도와 패턴이 불규칙적으로 변하며 지역별 강수량의 양극화가 심화됨에 따라 가뭄예측의 정확도를 높여야 하는 요구가 커지고 있다. 본 연구에서는 복잡하고 비선형성으로 이루어진 가뭄 패턴을 기상학적 가뭄의 정도를 나타내는 표준강수증발지수(SPEI, Standardized Precipitation Evapotranspiration Index)인 월SPEI와 일SPEI를 기계학습모델에 적용하여 예측개선 모형을 개발하고자 한다.

• Journal of the Korea Institute of Building Construction
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• v.24 no.4
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• pp.507-515
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• 2024

Recent advancements in Building Information Modeling(BIM) have significantly impacted the construction industry, driving competitiveness and innovation. However, rebar construction, a critical component influencing project quality and cost, has lagged behind in BIM adoption. Traditional methods relying heavily on 2D drawings for rebar detailing have hindered efficiency and introduced potential errors. This paper presents a novel system designed to automate the detailed modeling of rebar, thereby promoting BIM integration within rebar construction and optimizing construction management processes. The system leverages confirmed structural drawings from the post-structural design phase to automatically generate intricate rebar models for columns and beams. To ensure adherence to domestic structural design standards, the system is developed using C# programming language and the Revit API. By automating rebar modeling, this system aims to minimize human error, reduce labor-intensive tasks, and enhance overall rebar construction efficiency through the effective utilization of generated rebar model data.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.69-77
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• 2005

Most of the evaluations of environmental effect of construction of road do not run parallel with the evaluation of the propriety of the business, but it just reviews how to reduce contamination before the beginning of the construction work. This reveals the limitation of the induction of environment friendly development from the fundamental. In this study, a function of GIS spatial analysis for 9 elements of pre-evaluation of environmental effect has been introduced, and a GIS decision making system for environmental effect of a road has been established for an integrated evaluation by using individual evaluation result. By using GIS decision making system for pre-evaluation of environmental effect that has been developed in this study and the GIS data that has been collected, it would be possible to decrease time and money for evaluation as well as fulfill the requirement of objectivity. Therefore, it would be possible to apply for pre-evaluation of environmental effect when deciding on the route of the road at the beginning stage of the construction work. Also, through the system developed in this study, the construction body could easily induce a mutual agreement with the residents by the visual evaluation material, which might result in an evaluation of environmental effect while decreasing time and money at the beginning stage of the construction.

• Journal of Korea Water Resources Association
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• v.41 no.9
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• pp.959-967
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• 2008

Disaggregation techniques are widely used to transform observed daily rainfall values into hourly ones, which serve as important inputs for flood forecasting purposes. However, an important limitation with most of the existing disaggregation techniques is that they treat the rainfall process as a realization of a stochastic process, thus raising questions on the lack of connection between the structure of the models on one hand and the underlying physics of the rainfall process on the other. The present study introduces a nonlinear deterministic (and specifically chaotic) framework to study the dynamic characteristics of rainfall distributions across different temporal scales (i.e. weights between scales), and thus the possibility of rainfall disaggregation. Rainfall data from the Seoul station (recorded by the Korea Meteorological Administration) are considered for the present investigation, and weights between only successively doubled resolutions (i.e., 24-hr to 12-hr, 12-hr to 6-hr, 6-hr to 3-hr) are analyzed. The correlation dimension method is employed to investigate the presence of chaotic behavior in the time series of weights, and a local approximation technique is employed for rainfall disaggregation. The results indicate the presence of chaotic behavior in the dynamics of weights between the successively doubled scales studied. The modeled (disaggregated) rainfall values are found to be in good agreement with the observed ones in their overall matching (e.g. correlation coefficient and low mean square error). While the general trend (rainfall amount and time of occurrence) is clearly captured, an underestimation of the maximum values are found.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.190-198
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• 2020

For domestic urban railways, which have a 19.7% aging rate, a performance evaluation is necessary to establish capital improvement investment plans. The performance evaluation, which was recently enacted in the relevant law, points out the excessive time and effort for acquiring data and evaluation. This study developed a performance evaluation simulation prototype using a virtual reality (VR) method to use as training contents for railway performance evaluations. The practical use of the VR technique to reduce the working time under poor environment conditions was confirmed through a literature review. A survey and consultation were conducted for urban railway experts to determine the weight of the performance evaluation items and the facility breakdown structure. This information was utilized to develop performance evaluation sheets for simulation. Based on the evaluation sheet, a training content prototype that evaluates the performance of platform safety doors was developed using VR techniques with HTC VIVE equipment. VR simulation tests were conducted for six players, and the prototype was sufficiently advantageous for a visual confirmation of the facility information. The result is expected to be useful for engineers to understand the performance evaluation process efficiently before an actual performance evaluation of urban railway facilities.