• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.285-285
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• 2022

기후변화가 현실화되면서 수자원평가 (Water Resources Assessment)에 대한 관심과 중요성이 높아지고 있다. 본 연구에서는 '주민공감 문제기획리빙랩' 대상지인 순천은 동천을 중심으로 홍수량을 정량적으로 분석하였다. 순천시의 가장 시급한 사안 중 하나인 범람 및 침수 문제로, 최근 3년(2018~2020)간의 집중호우로 인한 내수배제로 주택 및 도로침수, 산사태 등의 피해를 겪었다. 시기마다 고질적으로 반복되는 동천 인근 지역의 침수문제를 사전에 예방하고 피해의 빈도나 규모를 줄이기 위하여 분석을 수행하였다. 이에 본 연구에서는 환경부의 지원을 받아 한강홍수통제소와 한국건설기술연구원이 공동으로 개발한 동적수자원평가모형(DWAT, Dynamic Water Resources Assessment Tool)을 이용하여 정량적으로 홍수량 산정을 하고자 한다. 본 모형은 전 세계가 무료로 이용할 수 있는 수자원평가도구로 사용자의 편의를 위해 GIS전처리 기능을 포함하고 있어, 자동으로 유역 매개변수 및 면적 평균강우량을 Thiessen method를 사용하여 산정할 수 있다. 또한, 물의 순환과정을 투수 및 불투수지역으로 구분되며, 투수지역은 1개의 토양층과 1개의 불압대수층으로 구성되고, 유출기여역과 함양역으로 유역을 분할하여 적용할 수 있으며, 대수층을 통하여 지하수의 흐름을 산정할 수 있다. 기상청에서 제공하는 기상자료를 분석하여 과거 관측 강우사상 3개를 선정하여 검·보정을 수행하였으며, 그 결과 모형 효율계수(Nash-Sutcliffe efficiency) 및 결정계수(Coefficient of Determination)가 0.78~0.94, 0.82~0.94로 우수한 모의 결과를 산정할 수 있었다. 빈도별 확률강우량을 Huff 4분위법을 사용하여 확률홍수량을 산정하였다. 미래 홍수량 증감량 산정을 위하여 RCP(Representative Concentration Pathways) 기후변화 시나리오를 사용하였다. 관측값과 모의값의 누적확률분포 이용하여 모의값의 확률분포를 관측값의 확률분포에 사상시키는 방법인 분위사상법(Quantile Mapping)을 사용하여 시나리오자료를 보정하였다. 본 연구에서 산정한 홍수량을 바탕으로 침수피해를 막기 위한 구조적 및 비구조적 방안을 위한 기초자료로 사용될 것으로 판단된다.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.33-43
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• 2006

This research is to the selection of optimal probability distribution as well as the estimation for design hourly factor in consideration of traffic characteristic, such as road function, lane number and AADT. To accomplish the objectives, we are applied to various probability distribution using traffic data that observed at permanent traffic count points in 2005. The parameters or the selected 14 probability distribution were estimated based on the method of maximum likelihood and the validity condition of the estimated parameter The goodness-of-fit test, such as chi-square test. was performed as well as the estimation of design hourly factor. As a result, An appropriate distributions of each case were selected : Pearson V for two lane of rural roads, LogLogistic for the four lane of rural roads, LogLogistic for the urban roads, Extreme value for recreation roads. And optimal K factor are as following : $0.1{\sim}0.2 $ for two lane of rural roads, $0.09{\sim}0.14$ for the four lane of rural roads. $0.07{\sim}0.13$ for the urban roads, $0.1{\sim}0.2$ for recreation roads.

• Journal of Educational Research in Mathematics
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• v.17 no.2
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• pp.179-199
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• 2007

The purpose of this study was to discover differences between mathematically gifted students (MGS) and non-gifted students (NGS) when making probability judgments. For this purpose, the following research questions were selected: 1. How do MGS differ from NGS when making probability judgments(answer correctness, answer confidence)? 2. When tackling probability problems, what effect do differences in probability judgment factors have? To solve these research questions, this study employed a survey and interview type investigation. A probability test program was developed to investigate the first research question, and the second research question was addressed by interviews regarding the Program. Analysis of collected data revealed the following results. First, both MGS and NGS justified their answers using six probability judgment factors: mathematical knowledge, use of logical reasoning, experience, phenomenon of chance, intuition, and problem understanding ability. Second, MGS produced more correct answers than NGS, and MGS also had higher confidence that answers were right. Third, in case of MGS, mathematical knowledge and logical reasoning usage were the main factors of probability judgment, but the main factors for NGS were use of logical reasoning, phenomenon of chance and intuition. From findings the following conclusions were obtained. First, MGS employ different factors from NGS when making probability judgments. This suggests that MGS may be more intellectual than NGS, because MGS could easily adopt probability subject matter, something not learnt until later in school, into their mathematical schemata. Second, probability learning could be taught earlier than the current elementary curriculum requires. Lastly, NGS need reassurance from educators that they can understand and accumulate mathematical reasoning.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7A
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• pp.649-658
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• 2006

Recently, Software Development was applied to new-approach methods as a various form : client-server system and web-programing, object-orient concept, distributed development with a network environments. On the other hand, it be concerned about the distributed development technology and increasing of object-oriented methodology. These technology is spread out the software quality and improve of software production, reduction of the software develop working. Futures, we considered about the distributed software development technique with a many workstation. In this paper, we discussed optimal release problem based on a stochastic differential equation model for the distributed Software development environments. In the past, the software reliability applied to quality a rough guess with a software development process and approach by the estimation of reliability for a test progress. But, in this paper, we decided to optimal release times two method: first, SRGM with an error counting model in fault detection phase by NHPP. Second, fault detection is change of continuous random variable by SDE(stochastic differential equation). Here, we decide to optimal release time as a minimum cost form the detected failure data and debugging fault data during the system test phase and operational phase. Especially, we discussed to limitation of reliability considering of total software cost probability distribution.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.185-194
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• 2009

This research attempted to find risk factors of alcoholic liver diseases by ultrasonography at the K image medicine clinic center located in Kwangju city, Kyunggi-Do from March to May, 2007. Six risk factors were selected for this study, age, sex, frequency of alcohol drinking, body mass index(BMI), cholesterol and GPT. The data collected from 353 patients of aged between 20 and 69. This study found the relationships between liver diseases and alcohol drinking style by liver ultrasonography. The results of the analyses showed that the male were 2.12 times more likely to have liver diseases than the female. The persons drinking alcohol more than 3 times per week had 2.37 times higher likelihood of showing liver diseases than below 2 times per week or non drinking at all.. The persons with normal body mass index have 0.52 times lower probability of liver diseases than the persons with abnormal BMI. The persons with abnormal cholesterol level have 9.13 times higher probability of liver diseases. The persons with abnormal GPT have 4.66 times higher probability of liver diseases. The results of this study suggested applying ultrasonography in health promotion programs for diagnosis of liver diseases.

• Journal of Korea Water Resources Association
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• v.41 no.2
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• pp.229-239
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• 2008

This study is to derive the fourth-order Geomorphologic Instantaneous Unit Hydrograph (GIUH), driven for only third-order basin, for the application of GIUH to various types of basin. The second, third, and fourth order GIUHs were compared for various topographical conditions. The results showed lower peak runoff and later peak time in GIUH with higher stream order. Initial state probability was estimated from a function of geomorphologic parameters such as area ratio and bifurcation ratio for the application of GIUH. However, initial state probabilities and early parts of the GIUHs have negative values for many basins due to the inherent errors in the parameters. Initial state probability was calculated by area ratio of direct drainage using ArcView GIS 3.2 model to solve the problem. GIUHs were estimated for three basins, Sanganmi, Byeongcheon, and Sangye, using the above suggested method, and the results showed that the method is free of the problem.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.533-543
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• 2018

In this paper, we propose an MILP-based method for Optimal Probability of Bit-based Differential Characteristic in SP(Substitution-permutation) ciphers based on Automatic Differential Characteristic Searching Method of Sasaki, et al. In [13], they used input/output variables and probability variables seperatably, but we simplify searching procedure by putting them(variables) together into linear inequalities. Also, In order to decrease the more linear inequalities, we choose Espresso algorithm among that used by Sasaki, et al(Quine-McCluskey algorithm & Espresso algorithm). Moreover, we apply our method to GIFT-64, GIFT-128, SKINNY-64, and we obtained results in the GIFT(Active S-boxs : 6, Probabilities : $2^{-11.415}$) compared with the existing one.(Active S-boxs : 5, Probabilities : unknown). In case of SKINNY-64, we can't find better result, but can find same result compared with the existing one.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.139-151
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• 2017

The habitat preference of roe deers(Capreolus pygargus) in Jeju island, South Korea was analyzed by using their occurrence probability in MaxEnt model in this study. Totally 490 surveying data were gathered and 15 environmental variables were chosen for the model in which 6 variables out of 15 ones were filtered and finally removed because of there being higher correlation(over 0.7 in correlation coefficient). According to the modeling, roe deers were known to prefer the area ranging from 200 to 700 meter and over 1,500 meter in sea level, where there were not many dominant tree and/or dominant vegetation with low density so that understory vegetation can grow well with plentiful sunlight and can be used as a food of herbivore like roe deers. Otherwise, the region ranging from 700 to 1,500 meter was mostly covered with high density vegetation which cut off sunlight trying to penetrate through the dominant vegetation. It can cause a lower density of vegetation on surface, which can not attract to roe deers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.145-150
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• 2010

In this paper, the performance of cognitive radio network is analyzed in terms of Erlang capacity. To improve the Erlang capacity with respect to primary user (PU) and secondary user (SU) traffic, we propose an efficient radio resource management scheme utilizing the buffer for new SUs and interrupted SUs. Markov model is developed, and analyzed to derive the performances of the proposed spectrum sharing scheme in both primary system and secondary system. To determine the Erlang capacity region, the blocking probability, the forced termination probability and the non-completion probability are calculated. Simulation results provide insight into the advantages of the buffer utilization. It is observed that the supportable traffic loads of PU and SU can be increased significantly according to the buffer length.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1243-1248
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• 2014

In General, LPI radar's detection probability by ES equipments is lower than that of conventional pulsed radar because of very low transmitting power and high antenna gain etc. LPI radar is a kind of RF stealth technique such as RCS reduction design. Therefore the ultimate goal of LPI radar is detection probability reduction by opponent. If one of the two, RCS value or LPI radar performance is not sufficient, own platform will be found first by opponent. In this paper, some considerations are suggested for detection probability reduction.