• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.237-240
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• 2011

띄어쓰기 오류는 한국어로 작성된 글에서 나타나는 가장 흔한 오류 중 하나로 문장의 의미적 모호성과 중의성을 가져온다. 규칙 기반 혹은 통계적접근 방법으로 띄어쓰기 오류를 교정하는다양한 방법이 제시되었으나, 기존의 방법들은 띄어쓰기를 형태소 분석의 전단계로 여기거나 띄어쓰기를 교정하기 위해서 형태소 분석을이용하는 등 각각을 독립된 과정으로 다루어, 한 과정에서 발생하는 오류가 다른 과정으로 전파되도록 하는 문제를 안고 있다. 본 논문에서는 띄어 쓰기와 최적 형태소 분석을 하나의 통합된 문제로 다루어각과정에서 발생할 수 있는 오류가 다른 과정에 영향을 주지 않도록 하고 상호 오류를 보완하여 좀더 정확한 띄어쓰기 오류 교정 및 형태소 분석을 가능하게 하는 확률적 접근 방법을 제시한다.

• Journal of the Korean Statistical Society
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• v.10
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• pp.164-177
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• 1981

진보된 수리적 통계이론의 발전과 이의 실용을 위한 통계적 처리방법의 개발이 신속히 이루어지고 있는 것이 현대통계학의 추세이다. 이에 부합되는 통계학 교육을 위하여는 우리의 통계학 교육의 현황을 분석하여 이를 토대로 체계적인 교육을 추구하여야 할 것이다. 국내대학에 통계학과가 설립된 이래 교수의 부족, 통계학에 대한 인식의 부족 등에도 불구하고 통계학 교육은 꾸준한 발전을 계속하고 있다고 할 수 있다. 그러나 대다수의 통계학과가 설립된지 오래지 않아 교육과정에 대한 검토와 연구가 부족했던 것이 사실이다. 한편, 국내 통계학과들은 경상계 대학과 자연계 대학에 소속된 학과들로 대별될 수 있다. 이러한 점과 함께 교수의 부족, 교육시설의 빈곤으로 인하여 전체적으로 교육과정의 공통성이 결여되어 있으며 실용적인 면의 교육에 소홀한 경향이 있다. 따라서 통계학 교육의 체계적인 확립과 발전을 위하여 교육과정의 모형이 절실히 요구된다고 할 수 있다. 본 보고서에서는 (1) 대학원 통계학 교육의 예비단계로서의 학부교육과 (2) 사회에서 요구하는 통계전문가의 양성을 위한 교육으로 구분하여 각 경우에 적합한 교육과정의 모형을 제안함으로써 각 대학에서의 교육과정 편성에 도움을 주고자 한다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.319-326
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• 2013

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of logarithmic hazard learning effects property.

• Journal of KIISE
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• v.41 no.11
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• pp.921-926
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• 2014

Face detection refers to the process extracting facial regions in an input image, which can improve speed and accuracy of recognition or authorization system, and has diverse applicability. Since conventional works have tried to detect faces based on the whole shape of faces, its detection performance can be degraded by occlusion made with accessories or parts of body. In this paper we propose a method combining local feature descriptors and probability modeling in order to detect partially occluded face effectively. In training stage, we represent an image as a set of local feature descriptors and estimate a statistical model for normal faces. When the test image is given, we find a region that is most similar to face using our face model constructed in training stage. According to experimental results with benchmark data set, we confirmed the effect of proposed method on detecting partially occluded face.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1539-1545
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• 2017

In this paper, we analyze and discuss the trend of the probability and statistics problems that have been made in the public secondary school teacher employment exam for mathematics teachers. In order to properly teach the national mathematics curriculum in 2015 in terms of content and function, we investigate the probability and statistics contents that a mathematics teachers should know. We also analyze the contents and trends of the items that have been submitted for 15 years in public secondary school teacher employment exam, and discuss the contents, scope, level and direction of the future contents. In conclusion, considering the significance of the Big Data in the 4th industrial revolution, the problems of statistical thinking of data and probability, exploratory data analysis, sample survey, and statistical inference are needed more.

• Journal of Broadcast Engineering
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• v.12 no.3
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• pp.250-265
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• 2007

In this paper, a fast intermode decision scheme is introduced by efficiently performing the mode decision using statistical hypothesis testing for hierarchical B-picture coding of SVC, in which much computational power is expensed for combined variable block sizes and hierarchical B-pictures. The hypothesis testing in the proposed method is performed on $16{\times}16\;and\;8{\times}8$ blocks to have early termination for RD computation of all possible modes. The early termination in intermode decision is performed by comparing the pixel values of current blocks and corresponding motion-compensated blocks. The proposed scheme exhibits effective early termination behavior in intermode decision and leads to a significant reduction up to 69% in computational complexity with slight increment in bit amounts. The degradation of visual quality turns out to be negligible in terms of PSNR values.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.483-490
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• 2015

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do likelihood inference for software reliability models based on finite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The infinite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outlier, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, proposed a control mechanism based on NHPP using mean value function of Musa-Okumo and Power law type property.

• Design Convergence Study
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• v.15 no.6
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• pp.195-214
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• 2016

Predictive analysis is based on a probabilistic learning algorithm called pattern recognition or machine learning. Therefore, if users want to extract more information from the data, they are required high statistical knowledge. In addition, it is difficult to find out data pattern and characteristics of the data. This study conducted statistical data analyses and visual data analyses to supplement prediction analysis's weakness. Through this study, we could find some implications that haven't been found in the previous studies. First, we could find data pattern when adjust data selection according as splitting criteria for the decision tree method. Second, we could find what type of data included in the final prediction model. We found some implications that haven't been found in the previous studies from the results of statistical and visual analyses. In statistical analysis we found relation among the multivariable and deducted prediction model to predict high box office performance. In visualization analysis we proposed visual analysis method with various interactive functions. Finally through this study we verified final prediction model and suggested analysis method extract variety of information from the data.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2156-2160
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• 2008

우리나라 연안의 평균해면이 증가하고 있다는 주장과 고극조위, 저극조위가 증가(또는 변동)하고 있다는 주장이 제기되고 있으나, 연구자가 사용한 자료의 기간 및 분석 방법 등에 차이가 있고, 결측자료(missing data) 및 이상자료(outlier) 등을 처리한 방법이 서로 차이가 있기 때문에 전체적으로 또는 부분적으로 분석결과가 차이를 보일 수 있다. 또한 추세분석에서는 통계적인 신뢰수준에 대한 검정과정 없이 단순하게 선형회귀곡선식을 이용하여 기울기의 부호만으로 증가 감소를 판단하는 경우도 있다. 그러나 추세분석은 최적의 추세곡선을 찾아내는 것 이전에 추세의 유무를 통계적인 신뢰수준을 기준으로 검정하는 것이 필요하다. 본 연구에서는 추세분석의 필수과정인 추세검정(추세가 있는가? 없는가?)을 Mann-Kendall 방법을 이용하여 우리나라 전 연안 조위관측소의 평균해수면 및 고극조위, 저극조위 자료에 대하여 수행하였다. 추세검정 결과를 다음과 같이 도출할 수 있었다. 평균해수면은 95% 유의수준으로 분석에 포함된 전체 30개 검조소 중 대산, 보령, 군산, 목포, 통영, 거문도, 부산, 가덕도, 제주, 서귀포, 속초, 포항, 울산, 울릉도 지점 등 19개 지점이 추세가 있는 것으로 파악되었으며, 고극조위, 저극조위는 각각 15개, 17개 지점이 추세가 있는 것으로 파악되었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.2C
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• pp.41-48
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• 2005

In this paper, we present a low complexity modified Gaussian model based pre-processing filter to improve the performance of H.264 compressed video. Video sequence captured by general imaging system represents the degraded version due to the additive noise which decreases coding efficiency and results in unpleasant coding artifacts due to higher frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved for given quantization step size. In addition, in order to reduce the complexity of the pre-processing filter, the simplified local statistics and quantization parameter are introduced. The simulation results show the capability of the proposed algorithm.