• 한국국방경영분석학회지
• /
• 제25권1호
• /
• pp.160-168
• /
• 1999

This research focussed on developing a hit probability model for polygonal target to increase the survivability of weapon systems by its shape design. First, we defined the delivery errors and derived functions for these errors based on the assumption of bivariate normal distribution, and the derived functions for probability of shot hitting of various shapes of polygonal target. Also, we developed computer program for computation of the probability of hitting a general n-sided polygon and we have shown a sample run output. The model could be used to improve the survivability from design phase by designing optimal polygonal shape of weapon system.

• 한국컴퓨터정보학회논문지
• /
• 제20권8호
• /
• pp.1-6
• /
• 2015

The MapReduce Program of Hadoop Distributed File System operates on any unspecified nodes due to distributed-parallel process and block replicate for data stability. Since it is difficult to guarantee the cache locality when a Solid State Drive is used as a cache in hadoop, cache hit-rate is decreased. In this paper, we suggest a method to improve cache hit rate by pre-loading the input data of the MapReduce onto the SSD cache. To perform this method, we estimated the blocks that are used on each node by using capacity scheduler and block metadata. Eventually we could increase the performance of SSD cache by loading the blocks onto SSD cache before the Map Task run.

• 한국환경과학회지
• /
• 제28권1호
• /
• pp.19-35
• /
• 2019

This study investigates the performance of four Bayesian methods, Random Walk Metropolis (RWM), Hit-And-Run Metropolis (HARM), Adaptive Mixture Metropolis (AMM), and Population Monte Carlo (PMC), for estimating the parameters and uncertainties of probability rainfall distribution, and the results are compared with those of conventional parameter estimation methods; namely, the Method Of Moment (MOM), Maximum Likelihood Method (MLM), and Probability Weighted Method (PWM). As a result, Bayesian methods yield similar or slightly better results in parameter estimations compared with conventional methods. In particular, PMC can reduce parameter uncertainty greatly compared with RWM, HARM, and AMM methods although the Bayesian methods produce similar results in parameter estimations. Overall, the Bayesian methods produce better accuracy for scale parameters compared with the conventional methods and this characteristic improves the accuracy of probability rainfall. Therefore, Bayesian methods can be effective tools for estimating the parameters and uncertainties of probability rainfall distribution in hydrological practices, flood risk assessment, and decision-making support.

• 제어로봇시스템학회논문지
• /
• 제15권4호
• /
• pp.420-425
• /
• 2009

In this paper, image detection and recognition algorithms are studied with respect to embedded carrier system. There are many suggested techniques to detect and recognize objects. But they have the propensity to need much calculation for high hit rate. Advanced and modified method needs to study for embedded systems that low power consumption and real time response are requested. The proposed methods were implemented using Intel(R) Open Source Computer Vision Library provided by Intel Corporation. And they run and tested on embedded system using a ARM920T processor by cross-compiling. They showed 1.6sec response time and 95% hit rate and supported the automated moving carrier system smoothly.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2010년도 춘계학술대회
• /
• pp.629-631
• /
• 2010

Using carefully assembled sets of IDs based on the cryptographic principle of secret shares, we can create RFID tags that yield virtually no information to casual "hit-and-run" attackers, but only reveal their true ID after continuous and undisturbed reading from up-close something that can hardly go unnoticed by an item's owner. In this paper, we analyses the practical issues of cryptography for RFID privacy with lightweight method.

• 한국농림기상학회지
• /
• 제24권4호
• /
• pp.218-233
• /
• 2022

본 연구에서는 Pusan National University Coupled General Circulation Model-Weather Research and Forecasting (PNU CGCM-WRF)에서 생산된 hindcast 자료(1986~2020)를 이용하여 우리나라의 주요 곡물 중 하나인 콩의 생육단계별 고온해 및 저온해 발생일수의 예측성을 평가하였다. 예측성을 평가하는 방법으로는 Normalized Standard Deviations (NSD), Root Mean Square Error (RMSE), Hit Rate (HR), Heidke Skill Score (HSS)이다. 이를 위해 먼저 콩의 고온해 및 저온해를 정의하는 변수인 일 최고기온(Tmax) 및 일 최저기온(Tmin)의 모의성능을 검증하였다. 그 결과 1~5월(01RUN~05RUN)의 초기조건을 가지고 시작하는 월에 따라 다소 차이가 있지만, Variance Scaling 방법을 적용하여 보정한 결과가 보정전보다 관측과 유사하게 나타났으며, 보정한 3~10월의 Tmax 및 Tmin에 대한 모의성능은 전반적으로 01RUN~05RUN에 Simple Composite Method (SCM)을 적용하여 평균한 결과(ENS)에서 높게 나타났다. 또한, 콩의 생육시기별 고온해 및 저온해 발생일수의 지역적 패턴과 특성을 관측과 비교하였을 때 모형이 잘 모의하고 있다. ENS에서 콩의 고온해(저온해)에 대한 HR과 HSS는 생육시기 별로 0.45~0.75, 0.02~0.10(0.49~0.76, -0.04~0.11)의 범위를 가진다. 결론적으로, PNU CGCM-WRF chain의 01RUN~05RUN 및 ENS는 우리나라 콩의 생육시기별 고온해 및 저온해를 예측할 수 있는 성능을 가지고 있다.

• 한국해양공학회:학술대회논문집
• /
• 한국해양공학회 2004년도 학술대회지
• /
• pp.90-95
• /
• 2004

During the past 50 years methods for predicting wave overtopping of coastal structures have coastal structures have continuously been developed Wave overtopping is one of the most important processes for the design of seawalls. The term 'wave overtopping' is used here to refer to the processes where waves hit a sloping structure run up the slope and, if the crest level of the slope is lower than the highest run up level, overtop the structure. Wave overtopping is dependent on the processes associated with breaking wave. The Numerical model is based on Navier-Stokes equation and Marker-Density Function of method for nonlinear free-surface flow by Miyata & Park(1995). The influence of how the slopes of seawalls, wave type and crest freeboard affect overtopping discharges has been investigated. The research of study using the new development nonlinear free-surface flow numerical model SOLA-VOF are presented.

• 한국통신학회논문지
• /
• 제21권1호
• /
• pp.224-240
• /
• 1996

It is common sense for at least one or more levels of cache memory to be used in these day's computer systems. In this paper, the impact of the internal cache memory organization on the performance of the computer is investigated by using a simulator program, which is wirtten by authors and run on SUN SPARC workstation, with several real execution, with several real execution trace files. 280 cache organizations have been simulated using n-way set associative mapping and LRU(Least Recently Used) replacement algorithm with write allocation policy. As a result, 16-way setassociative cache is the best configuration, and when we select 256KB cache memory and 64 byte line size, the bus traffic ratio was decreased compared to that of the noncache system so that a single bus could support almost 7 processors without any delay and degradationof high ratio(hit ratio was 99.21%). The smaller the line size we choose, the little lower hit ratio we can get, but the more processors can be supported by a single bus(maximum 18 processors). Therefore, using a proper cache memory organization can make a single bus structure be able to support multiple processors without any performance degradation.

• 한국해양학회지:바다
• /
• 제12권3호
• /
• pp.170-177
• /
• 2007

본 연구에서는 기상청 연구개발 사업을 통해 개발된 PNU/CME 접합대순환 모형(CGCM)을 이용하여 적도 태평양에서의 엘니뇨 및 라니냐 현상에 대한 장기 예측성을 해수면온도 상관관계와 숙련도를 통해 살펴보았다. 이를 위하여 PNU/CME CGCM을 활용한 전구규모의 기후 예측을 위하여 1979년부터 2004년까지 매해 1월, 4월, 7월, 10월초를 초기조건으로 하여 12개월 후보 적분을 수행했다(각 적분은 APR RUN, JUL RUN, OCT RUN, JAN RUN 이라 명명한다). 또한 각 12개월 후보 적분은 5개의 앙상블로 구성되었다. 4계절로부터 출발한 모든 적분에서 12개월의 리드가 지난 이후에도 상대적으로 높은 상관이 적도 태평양에서 유지되었다. 특히, 본 연구에서 사용된 모형의 적도 해수면온도 아노말리 예측성은 6개월의 리드까지 뛰어나다는 것을 알 수 있었다. 엘니뇨와 라니냐에 대한 예측성을 평가하기 위해서 Hit rate와 False alarm rate 등의 다양한 숙련도를 구해본 결과, PNU/CME CGCM은 적도 태평양 지역에서의 온난 아노말리와 한랭 아노말리를 예측하는데 있어서는 좋은 예측성을 보였다. 그러나 보통 상태에 대한 예측성은 상대적으로 다소 낮았다. 또한 본 연구에 사용한 모형 결과를 DEMETER 사업에 참여하고 있는 다른 접합대순환 모형들의 예측성과도 비교해 보았을 때, 본 연구에 사용한 모형은 DEMETER 사업에 참여한 모형들에 견줄 수 있는 장기 예측 능력을 갖고 있음을 알 수 있었다. 결론적으로 Nino3.4 지역의 해수면온도 아노말리를 예측할 수 있는 능력을 통해서 살펴볼 때 PNU/CME CGCM은 엘니뇨 및 라니냐 해에 대해서는 6개월까지는 높은 예측성이 있다고 판단되며 최장 12개월 정도의 장기 예측 능력이 있다는 결론을 얻었다.

• 한국해양공학회지
• /
• 제19권3호
• /
• pp.18-24
• /
• 2005

Wave overtopping is one of the most important processes for the design of seawalls. The term "wave overtopping" is used here to refer to the processes where waves hit a sloping structure run up the slope and, if the crest level of the slope is lower than the highest run up level, overtop the structure. Wave overtopping is dependent on the processes associated with breaking wave. A numerical model based on Navier-Stokes equation and the Marker-density function for predicting wave overtopping of coastal structures is developed in this paper. In order to evaluate the present model, two simulations are tested. One is overflow without waves at vertical seawall, and the other is wave overtopping at sloping seawalls.