• Journal of the Korean Society of Radiology
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• v.9 no.7
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• pp.449-457
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• 2015

In this study, to evaluate the usefulness of the treatment plan of tomotherapy and volumetric modulated arc therapy (VMAT) in the radiotherapy for prostate cancer, the absorbed dose, dose volume histogram (DVH), treatment efficiency, and the results of dose verification accuracy using MapCHECK2 were compared and analyzed. Of the prostate cancer patients who underwent tomotherapy treatment in the Radiologic Oncology of H University Hospital between July 2014 and December 2014, 12 patients were randomly selected. As a result of analyzing the absorbed dose and DVH, both radiologic treatment plans showed slight differences in the treatment of the cancer tissues and the bladder, but the difference was in the error range of -5% to +3%, and did not exceed the side effect guideline or the tolerance dose limit. VMAT showed higher treatment efficiency than tomotherapy with a 2.5 times shorter treatment time and a 10.3 times less monitor unit (MU). Both showed 95% or higher dose accuracy satisfying the standard. VMAT showed 2.3% higher efficiency than tomotherapy. In both tomotherapy and VMAT, appropriate doses were absorbed for cancer tissues, and did not exceed the tolerance dose for normal tissues showing no significant difference in dose distribution. However, considering the shorter treatment time, lower total MU, and better treatment efficiency and dose verification accuracy, VMAT may be more useful than tomotherapy in cancer treatments.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.227-236
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• 2009

This study investigates the characteristics of cloud top brightness temperature (CTBT) of WV and IR1 from MTSAT-1R when lightning strikes in South Korea. For temporal and spatial collocations, lightnings, occurred only within ${\pm}5$ minutes from the six minutes added official satellite observation time (e.g., not 0600 UTC but 0606 UTC, considering the real scan time over South Korea), were selected. And the CTBTs corresponding to lightning spots were determined using the nearest pixel within 5 km. The brightness temperature difference (BTD, defined as WV - IR1) between two channels is negatively large when no lightning occurrs, whereas it increases up to positive values (sometimes, +5 K) and the largest frequency distributes around 225 K and 205 K in lightning cases. The probablistic approach for lightning frequency forecast, presented by Machado et al. (2008) in Southern America, was applied over South Korea and new exponential equations, with high coefficients of determination around 0.95 to 0.99, were developed using two channels' BTDs when lightning strikes. Moreover, a case study on 10th June, 2006, the largest number of lightning occurred between 2002 and 2006, was made. The major finding is that lightning activity is closely related to the dramatic decreases in BT and the increases in BTD (esp., equal to or larger than 0 K). Lightning frequency increases exponentially when BTD increases up to 0 K. Therefore, lightning forecast skill will be improved when the integrated strategy (synoptic background and satellite-based CTBT and BTD) is applied. It is believed that this study contributes to the application of the Korean first geostationary satellite (COMS), scheduled to launch at the end of this year, to severe weather detections.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1337-1348
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• 2017

In this paper, we develop the high-risk drinking predictive model in Korea using the cross-sectional data from Korea Community Health Survey (2014). We perform the logistic regression analysis, the decision tree analysis, and the neural network analysis using the data mining technique. The results of logistic regression analysis showed that men in their forties had a high risk and the risk of office workers and sales workers were high. Especially, current smokers had higher risk of high-risk drinking. Neural network analysis and logistic regression were the most significant in terms of AUROC (area under a receiver operation characteristic curve) among the three models. The high-risk drinking predictive model developed in this study and the selection method of the high-risk intensive drinking group can be the basis for providing more effective health care services such as hazardous drinking prevention education, and improvement of drinking program.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.213-220
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• 2015

Wireless sensor network(WSN) is made up of a lot of battery operated inexpensive sensors that, once deployed, can not be replaced. Therefore, energy efficiency of WSN is essential. Among the methods for energy efficiency of the network, clustering algorithms, which divide a WSN into multiple smaller clusters and separate all sensors into cluster heads and their associated member nodes, are very energy efficient routing technique. The first cluster-based routing protocol, LEACH, randomly elects the cluster heads in accordance with the probability. However, if the distribution of selected cluster heads is not good, uniform energy consumption of cluster heads is not guaranteed and it is possible to decrease the number of active nodes. Here we propose a new routing scheme that, by comparing the remaining energy of all nodes in a cluster, selects the maximum remaining energy node as a cluster head. Because of decrease in energy gap of nodes, the node that was a cluster head operates as a member node much over. As a result, the network lifespan is increased and more data arrives at base station.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.9 no.2
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• pp.143-150
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• 1976

A trial has been made to find out a new method of calculating the survival rate of a fish Population utilizing the length composition data and the characteristics of the frequency curve of the length which usually is normal distribution curve. In this paper, a stochastic method is introduced and applied to calculate the survival rate of yellow croaker caught by Korean trawlers in the Yellow Sea and the East China Sea in 1971. The results are as follows : Mean of survival rate 0.46089 Variance 0.03073 Standard deviation 0.17529 95 percent confidence interval 0.36040-0.56138.

• Journal of Oral Medicine and Pain
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• v.24 no.3
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• pp.335-345
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• 1999

법의학적 개인식별 및 친생자 감정시 여러 개의 single tandem repeats(STR) 유전좌위 검색이 필요하다. 그 이유는 STR 유전좌위는 대립유전자 수가 적고 이형접합도가 낮아 서로 다른 개체간에도 동일한 유전좌위를 가질 확률이 높기 때문에 개인식별에 대한 기여도가 떨어지게 된다. 따라서 여러 개의 다양한 STR 유전좌위들을 동시에 분석함으로써 우연적으로 개체간에 유전자형이 일치할 가능성을 낮추어야 감정의 신뢰성을 높일 수 있으며 이에는 각 STR 유전좌위에 대한 유전좌위의 분포가 인종별, 지역별로 달라 이에 대한 유전자분포를 구하는 것이 선행조건이다. 이에 본 연구에서는 법의학적 개인식별 및 친자감정시 기초자료로 활용하기 위하여 서로 혈연관계가 없는 201명의 한국인 혈액에서 DNA를 추출하여 STR 유전좌위증 human coagulation factor XIII A subunit gene(F13A0l Locus), human c-fes/fps proto-oncogene(FESFPS Locus), human von Willebrand factor gene (vWA Locus)등 FFv Triplex 유전자를 중합효소반응에 의하여 동시에 증폭하고, 폴리아크릴아마이드겔을 이용한 전기영동 및 질산은 염색을 시행한 후 FFv Triplex유전자의 유전자형 및 대립유전자 빈도 등을 분석하여 다음과 같은 결과를 얻었다. (1) F13A01유전자는 5개의 대립유전자, 12개의 유전자형을 검출하였으며, 이형접합도는 60.7%로 나타났고 대립유전자 및 유전자빈도는 3.2, 4, 5, 6, 16 대립유전자에서 각각 0.34 3, 0.114, 0.062, 0.475, 0.005로 나타났으며, 대립유전자 7, 8, 9, 10, 11, 12, 13, 14, 15는 검출되지 않았다. (2) F13A01 대립유전자다양성 (allelic diversity value)은 0.641, 개인식별력(PD)은 0.814를 보였으며 대립유전자다양성 및 이형접합도가 다른 민족과 비교할 때 다소 낮았다. (3) FESFPS유전자는 8개 대립유전자 모두 나타났으며, 15개의 유전자형을 검출하였으며, 이형접합도는 66.7%로 나타났고 대립유전자 및 유전자빈도는 7, 8, 9, 10, 11, 11, 12, 13, 14 대립유전자에서 각각 0.002, 0.002, 0.005, 0.032, 0.507, 0.264, 0.197, 0.007로 나나났다. (4) FESFPS 대립유전자다양성(allelic diversity value)은 0.641, 개인식별력(PD)은 0.804를 보였다. (5) vWA유전자는 9개의 대립유전자, 23개의 유전자형을 검출하였으며, 이형접합도는 80.1%로 나타났고 대립유전자 및 유전자 빈도는 11, 12, 14, 15, 16, 17, 18, 19, 20 대립유전자 에서 각각 0.002, 0.002, 0.219, 0.032, 0.187, 0.279, 0.189, 0.072, 0.017로 나타났으며, 대립 유전자 13, 21는 검출되지 않았다. (6) vWA 대립유전자다양성(allelic diversity value)은 0.799, 개인식별력(PD)은 0.924로 매우 높게 나타냈다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.9
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• pp.1305-1310
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• 2010

In a practical design process, the method of extracting the design space information of the complex system for verifying, improving, and optimizing the design process by taking into account the design variables and their shape tolerance is very important. Finite element analysis has been successfully implemented and integrated with design of experiment such as D-Optimal array; thus, a response surface model and optimization tools have been obtained, and design variables can be optimized by using the model and these tools. Then, to guarantee the robustness of the design variables, a robust design should be additionally performed by taking into account the statistical variation of the shape tolerance of the optimized design variables. In this study, a new approach based on the use of the response surface model is proposed; in this approach, the standard normal distribution of the shape tolerance is considered. By adopting this approach, it is possible to simultaneously optimize variables and perform a robust design. This approach can serve as a means of efficiently modeling the trade-off among many conflicting goals in the applications of finite element analysis. A case study on the robust optimal design of disc brakes under thermal loadings was carried out to solve multiple objective functions and determine the constraints of the design variables, such as a thermal deformation and weight.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.433-433
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• 2011

수자원 계획 및 관리를 위한 지표 자료로서 일유량은 매우 유용하기 때문에 정확한 일유량 산정의 문제는 매우 중요하다. 그러나 우리나라의 경우 조석이나 배수 갑문 혹은 보 등에 의한 배수 영향으로 인해 수위-유량관계곡선식만으로 정상적인 유량산정이 어려운 지점이 다수 존재한다. 특히, 한강대교 지점과 같이 조석영향 구간에서 수위-유량관계곡선식에 의해 산정된 일유량은 자료에 대한 곡선식의 적합도 문제로 그 정확도가 매우 낮았다. 최근 자동유량측정에 의해 시간단위 이하의 실시간 유량이 생산되고 있고 이를 이용하여 일유량을 환산하고 있어 과거에 비해 보다 정확한 일유량 산정이 가능해 졌다. 그러나 신뢰도 있는 일유량을 안정적으로 제공하기 위해서는 보다 다양한 조건을 고려한 비교 검증 연구가 요구되는 실정이다. 이러한 배경에서 본 연구에서는 한강대교 지점과 같이 조석영향을 받는 지점의 일유량 산정방법 및 산정개념에 따른 유황의 차이와 적정성을 평가하여 보았다. 각 산정방법 및 산정개념 별로 산정된 일유량을 통해 유황을 산정하여 한강대교 지점의 일유량 산정방법에 대한 적정성을 평가하고 적절한 유황산정을 위한 목적별 대안을 제시하였다. 산정방법 별로는 기존의 수위-유량관계 곡선식으로 변환된 자료, 자동유량측정자료, 그리고 자동유량측정자료에서 조석성분을 제거한 순수 유출성분자료를 이용하여 일유량을 산정하였고, 이를 이용하여 산정된 유황에 대한 비교 분석을 실시하였다. 수위-유량관계곡선식에 의한 일유량은 수문조사연보의 자료를 이용하였고 자동유량자료를 이용한 일유량은 시자료를 평균하여 일유량으로 환산하는 방법을 사용하였다. 자동유량 자료에서 조석성분을 제거한 순수 유출성분의 추출은 웨이블릿 변환(wavelet transform)을 이용하였다. 각 방법별로 산정된 일유량을 비교한 결과 수위-유량관계곡선식에 의해 산정된 일유량이 자동 유량자료로 산정된 일유량에 비해 전반적으로 크게 나타났고, 2009년 한해 동안의 유출용적을 비교해 본 결과 18%정도 더 크게 산정되었다. 산정개념에 따른 비교에서는 조석성분 유량의 유효성 여부에 따른 유황을 비교하였으며, 조석성분 유량도 실효적 유량으로 간주한 경우 이론적 확률 분포형에 적합시켜 산정한 평균 갈수량은 15.7 ��/s(동절기 이상 거동기간인 2009년 11월 17일-12월 12일 기간을 제외하고 산정된 결과이나 불확실성은 잔존)에서 $53.2m^3/s$로 증가하였다. 따라서 유지유량의 목적상 경관용수나 생태용수가 중요한 지점으로 조석성분 유량이 이에 유효하다면, 유황산정을 위한 한강대교 지점의 일유량 산정방법은 다양한 목적에 비추어 추가적인 분석 검토가 필요할 것으로 판단된다.

• Journal of KIISE
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• v.42 no.4
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• pp.451-458
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• 2015

Previous multimodal learning methods focus on problem-solving aspects, such as image and video search and tagging, rather than on knowledge acquisition via content modeling. In this paper, we propose the Multimodal Concept Hierarchy (MuCH), which is a content modeling method that uses a cartoon video dataset and a character-based subtitle generation method from the learned model. The MuCH model has a multimodal hypernetwork layer, in which the patterns of the words and image patches are represented, and a concept layer, in which each concept variable is represented by a probability distribution of the words and the image patches. The model can learn the characteristics of the characters as concepts from the video subtitles and scene images by using a Bayesian learning method and can also generate character-based subtitles from the learned model if text queries are provided. As an experiment, the MuCH model learned concepts from 'Pororo' cartoon videos with a total of 268 minutes in length and generated character-based subtitles. Finally, we compare the results with those of other multimodal learning models. The Experimental results indicate that given the same text query, our model generates more accurate and more character-specific subtitles than other models.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.27 no.5
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• pp.304-314
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• 2015

We have reviewed the current status of coastal vulnerability index(CVI) to be guided into an appropriate CVI development for Korean coast and applied a methodology into the east coast of Korea to quantify coastal vulnerability by future sea_level rise. The CVIs reviewed includes USGS CVI, sea_level rise CVI, compound CVI, and multi scale CVI. The USGS CVI, expressed into the external forcing of sea_level rise, wave and tide, and adaptive capacity of morphology, erosion and slope, is adopted here for CVI quantification. The range of CVI is 1.826~22.361 with a mean of 7.085 for present condition and increases into 2.887~30.619 with a mean of 12.361 for the year of 2100(1 m sea_level rise). The index "VERY HIGH" is currently 8.57% of the coast and occupies 35.56% in 2100. The pattern of CVI change by sea_level rise is different to different local areas, and Gangneung, Yangyang and Goseong show the highest increase. The land use pattern in the "VERY HIGH" index is dominated by both human system of housing complex, road, cropland, etc, and natural system of sand, wetland, forestry, etc., which suggests existing land utilization should be reframed in the era of climate change. Though CVI approach is highly efficient to deal with a large set of climate scenarios entailed in climate impact assessment due to uncertainties, we also propose three_level assessment for the application of CVI methodology in the site specific adaptation such as first screening assessment by CVI, second scoping assessment by impact model, and final risk quantification with the result of impact model.