• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.113-117
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• 2006

This study is to analyze the effect of compatibility of information characteristics and information technology structure on AIS performance. This used financial and non-financial factors as the characteristics of management accounting information and used information technology structure as centralization and decentralization classified by Ahtuv et.(1989) and Fiedler et.(1996). 425 sampling companies are selected randomly and 137 of them were used in this study. The results of this study are as follows. First, In compatibility analysis between the characteristics of management accounting information and information technology structure, in case of companies which have centralized data process system, AIS performance of companies which use financial information is higher than that of companies which use non-financial information. However, no meaningful results show statistically. in case of companies which have decentralized data process system, AIS performance of companies which use non-financial information is higher than that of companies which use financial information. Also the statistical results show the meaning at the p < 0.05.

• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.485-494
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• 2011

When the observations can take only the non-negative integer values, it is called the count data such as the numbers of car accidents, earthquakes, or insurance coverage. In general, the Poisson regression model has been used to model these count data; however, this model has a weakness in that it is restricted by the equality of the mean and the variance. On the other hand, the count data often tend to be too dispersed to allow the use of the Poisson model in practice because the variance of data is significantly larger than its mean due to heterogeneity within groups. When overdispersion is not taken into account, it is expected that the resulting parameter estimates or standard errors will be inefficient. Since coverage is the main issue for insurance, some accidents may not be covered by insurance, and the number covered by insurance may be zero. This paper considers the zero-inflated model for the count data including many zeros. The performance of this model has been investigated by using of real data with overdispersion and many zeros. The results indicate that the Zero-Inflated Negative Binomial Regression Model performs the best for model evaluation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.1-12
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• 2009

An RFID application needs to collect product's information scattered over the RFID network efficiently according to the globalization of RFID applied enterprises. To be informed of the stock status of products promptly in the supply chain network, especially, it is necessary to support queries that retrieve statistical information of tagged products. Since existing RFID network does not provide these kinds of queries, however, an application should request a query to several RFID middleware systems and analyze collected data directly. This process makes an application do a heavy computation for retrieving statistical information. To solve this problem, we define a new Distributed Continuous Query that finds information of tagged products from the global RFID network and provides statistical information to RFID applications. We also propose a Distributed Continuous Query System to process the distributed continuous query efficiently. To find out the movement of products via multiple RFID systems in real time, our proposed system uses Pedigree which represents trade information of items. Our system can also reduce the cost of query processing for removing duplicated data from multiple middleware systems by using Pedigree.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.295-304
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• 2010

Coating thickness is one of target variables in quality control process in steel industry. To predict coating thickness and to control quality of anti-fingerprint steel coils, ultraviolet-visible spectra are measured. We propose a variable-interval selection procedure based on the variable importance in projection in partial least square model. Using the proposed variable interval selection method, prediction performance gets better in the reduced model than the full model with full spectra absorbance. It is also shown that the first differencing as a data preprocessing technique does work well for the prediction of coating thickness.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.859-872
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• 2016

Land cover classification is an important tool for preventing natural disasters, collecting environmental information, and monitoring natural resources. Hyperspectral imaging is widely used for this task thanks to sufficient spectral information. However, the curse of dimensionality, spatiotemporal variability, and lack of labeled data make it difficult to classify the land cover correctly. We propose a novel classification framework for land cover classification of hyperspectral data based on convolutional neural networks. The proposed framework naturally incorporates full spectral features with the information from neighboring pixels and has advantages over existing methods that require additional feature extraction or pre-processing steps. Empirical evaluation results show that the proposed framework provides good generalization power with classification accuracies better than (or comparable to) the most advanced existing classifiers.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.1
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• pp.75-81
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• 2008

This study purpose is an industrial complex environmental improvement and trust management organization of waste water insurance for transparency of the GIS Application a waste water trust management system about extermination plan. A industrial waste water management system is a waste water management and trust management an input device and the trust a note of confirmation for printer trust management system, of manager by time, by work, a waste water by classify, by organization the trust volume will be the statistics analyze system and trust organization of waste water spacial information and a waste water trust volume and of a waste water volume a distribution chart furnish the citizens information WebGIS system. The has be Extermination a waste water trust management system is a waste water a point of start let's solve this project is grasp. And by computerization work the a time and an economy loss reduce. Be on controling trust and a waste water is distribution controling and citizens about environmentalism will be inspiration by WebGIS.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.270-277
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• 2010

The BAMS filter is a kind of wavelet shrinkage filter based on the Bayes estimators with no simulation, therefore it can be used for a real time filter. The denoising efficiency of BAMS filter is seriously affected by the estimated noise variance in each wavelet band. To remove noise in signals in existing BAMS filter, the noise variance is estimated by using the quartile of the finest level of details in the wavelet decomposition, and with this variance, the noise of the level is removed. In this paper, to remove the image noise includingodified quartile of the level of detail is proposed. And by these techniques, the image noises of mid and high frequency bands are removed, and the results showed that the increased PSNR of ab the midband noise, the noise variance estimation method using the monotonic transform and the mout 2[dB] and the effectiveness in denosing of low noise deviation images.

• 한국정보교육학회:학술대회논문집
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• 2010.01a
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• pp.149-156
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• 2010

컴퓨터와 인터넷이 보편화된 지금 학교현장에서는 효율적인 통계 분석이 가능하고, 공간적 시간적 제약을 극복한 웹 기반 교원능력개발평가 시스템이 필요하다. 본 논문에서는 현재 웹 기반으로 이루어지고 있고 교원평가 시스템을 비교 분석하여 그 특징을 알아본 후 그 제한점을 극복하고 사용자의 사용성 향상을 위한 웹 기반 교원능력개발평가 시스템을 제안하고 설계한다. 본 논문에서 제안하고 설계한 교원능력개발평가 시스템의 사용성 향상 요소는 크게 세 가지이다. 첫 번째는 평가문항별 키워드를 레이어 방식으로 설명하여 평가자의 평가문항 이해를 돕는 것이다. 두 번째는 평가자를 위해 평가보조자료를 첨부하여 공정하고 객관적인 교원능력개발평가가 이루어지도록 하는 것이다. 세 번째는 통계 처리가 힘든 서술형 문항에 키워드별 분류 기능을 추가하여 교원의 자기 발전의 자료로 활용하도록 하는 것이다. 이러한 웹 기반 교원능력개발평가 시스템은 학교 교육의 질 향상 및 공교육에 대한 신뢰를 제고하는데 기여할 수 있다.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2002.10a
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• pp.31-42
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• 2002

최근 지하철 터널은 사용자 편의성, 도심지 접근성 및 원활한 교통처리 등을 고려하여 지반조건이 불리한 상황에서도 터널로 계획되는 경우가 많아지고 있다 따라서 시공중의 터널안정성확보, 굴착에 따른 인접구조물의 침하영향, 발파진동영향 등을 종합적으로 고려한 지보패턴 및 보조·보강공법의 결정이 매우 중요하나 정량적인 판단기준의 부재로 인하여 주로 경험적인 설계에 의존하는 경우가 많다. 본 연구에서는 도심지 지하철 터널의 복합적인 거동특성을 고려하기 위하여 여러 가지 예상위험요소의 정량화 방안을 제안하고, 다변량 통계분석기법을 활용하여 여러 가지 위험 요소들의 특성을 함축적으로 나타내는 소수의 총합적인 지표(안정성인자, 환경성인자)로 대표화 할 수 있음을 검증하였다. 안정성 인자 및 환경성 인자를 이용한 서울시 지하철 00공구 설계사례를 통해 정량화지표(Multiple Index)의 터널설계에의 적용성을 평가하고 이의 설계시 활용방안을 제안하고자 하였다.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.165-170
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• 2016

본 논문에서 제안하는 문맥의존 철자오류 교정은 통계 정보를 이용한 방법으로 통계적 언어처리에서 가장 널리 쓰이는 샤논(Shannon)이 발표한 노이지 채널 모형(noisy channel model)을 기반으로 한다. 선행연구에서 부족하였던 부분의 성능 향상을 위해 교정대상단어의 오류생성 및 통계 데이터의 저장 방식을 개선하여 Default 연산을 적용한 모델을 제안한다. 선행 연구의 모델은 교정대상단어의 오류생성 시 편집거리의 제약을 1로 하여 교정 실험을 하지만 제안한 모델은 같은 환경에서 더욱 높은 검출과 정확도를 보였으며, 오류단어의 편집거리(edit distance) 제약을 넓게 적용하더라도 신뢰도가 있는 검출과 교정을 보였다.