• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.202-207
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• 2010

In this paper, we present an automatic sentiment classification method for on-line movie reviews that do not contain explicit sentiment rating scores. For the sentiment polarity classification, positive or negative, we use a Support Vector Machine classifier based on syllable kernel that is an extended model of string kernel. We give some experimental results which show that proposed syllable kernel model can be effectively used in sentiment classification tasks for on-line movie reviews that usually contain a lot of grammatical errors such as spacing or spelling errors.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.409-411
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• 2000

소프트웨어 제품의 품질을 보증하는 일은 매우 중요하며, 국제 표준인 ISO/IEC9126은 소프트웨어 품질 특성 및 측적 메트릭 표준을 제공하고 있다. 이때 ISO/IEC 9126에서는 소프트웨어를 프로그램, 절차, 규칙 및 관련문서로 한정하고 있기 때문에 데이터의 품질에는 적용할 수 없다. 본 논문에서는 데이터 품질 평가 및 제어를 위하여 오류 데이터 형태를 분류하고, 이를 기반으로 데이터 품질 특성을 추출한다. 추출된 데이터 품질 특성을 측정하기 위해, 오류 데이터를 품질 속성으로 하는 데이터 품질 특성을 추출한다. 본 논문에서 제시하는 데이터 품질 메트릭은 지식 공학(knowledge engineering) 시스템이 최종 사용자에게 제공하는 데이터나 지식의 품질 측정 및 제어에 기준이 된다.

• Korean Journal of Remote Sensing
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• v.20 no.2
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• pp.139-152
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• 2004

This paper proposes to improve the results of image classification with spatial region growing segmentation by using an MRF-based classifier. The proposed approach is to re-classify the pixels in the boundary area, which have high probability of having classification error. The MRF-based classifier performs iteratively classification using the class parameters estimated from the region growing segmentation scheme. The proposed method has been evaluated using simulated data, and the experiment shows that it improve the classification results. But, conventional MRF-based techniques may yield incorrect results of classification for remotely-sensed images acquired over the ground area where has complicated types of land-use. A multistage MRF-based iterative class-modification in boundary is proposed to alleviate difficulty in classifying intricate land-cover. It has applied to remotely-sensed images collected on the Korean peninsula. The results show that the multistage scheme can produce a spatially smooth class-map with a more distinctive configuration of the classes and also preserve detailed features in the map.

• Journal of the Korean Institute of Gas
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• v.6 no.4 s.18
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• pp.1-7
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• 2002

Human errors can take place in all levels that include the design, production, construction, operation and maintenance of plant facilities. It was found that the causes were concerned with the effects of human error. This study verified characteristics of the on-site operators and error mechanism, and used the classifying sheet to analyze human error that occurred in process. Also, by applying the ASEP(Accident Sequence Evaluation Program) HRA(Human Reliability Analysis) procedure, the algorithm to estimate the HEP and the ASEP HEP program to analyze human error in the plant were developed. If it is built in on-site, possible human error incident will be prevented and the systematic human error prevention strategy will be devised.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.669-672
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• 2017

최근 한국인의 주요 사망원인 중 하나로 부정맥이 부각되고 있다. 심방조기수축(PAC:Premature Atrial Contraction)은 심방이 동방결절의 명령이 있기 전에 수축해 버리는 것이다. 심방조기수축은 일시적으로 유발하였다 사라지곤 할 수 있기 때문에 심한 증상이 없다면 생명에 위협을 가하진 않지만 반대의 경우에는 위험할 수 있다. 따라서 비정상적인 심장 박동이 발생하면 이를 검출하여 조기에 부정맥을 진단할 수 있는 방법이 필요하다. 이를 위해 대상의 ECG 신호로부터 QRS패턴에 해당하는 특징들을 추출하였고 특징들을 이용하여 심방조기수축 파형을 분류한다. 오류 역전파 기반으로 특징들을 훈련하며 가중치와 바이어스값을 구한뒤 이를 이용하여 정상파형과 심방조기수축 파형을 분류한다.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.35-51
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• 2002

Inductive learning and classification techniques have been employed in various research and applications that organize textual data to solve the problem of information access. In this study, we develop hybrid model combination methods which incorporate the concepts and techniques for multiple modeling algorithms to improve the accuracy of text classification, and conduct experiments to evaluate the performances of proposed schemes. Boosted stacking, one of the extended stacking schemes proposed in this study yields higher accuracy relative to the conventional model combination methods and single classifiers.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 1995.03a
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• pp.181-185
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• 1995

현재 구미에서 터널의 설계에는 RMR, Q와 같은 암반분류 기법과 경계요소 해석법과 같은 간략한 탄성 프로그램에 경험적 파괴조건식을 적용하여 이완대를 계산하고 터널의 지보량을 추정하는 방식이 널리 적용되고 있다. RMR이나 Q와 같은 암반분류법은 지하공동의 안정성에 영향을 미치는 중요한 지질 요인들에 근거하여 암반을 몇가지 등급으로 분류하고 지보방법을 결정하는 분류 방식으로 가장 많이 사용되고 있으나 각 항목의 평가방식이 경험적인 판단을 요하게 되어 주관적인 오류에 빠질 가능성이 많고, 또 여러 가지 대체 수단이 있어 종합적인 판단을 얻기가 용이하지가 않다. (중략)

• Korean Journal of Remote Sensing
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• v.31 no.2
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• pp.51-64
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• 2015

We improved the MODerate resolution Imaging Spectroradiometer (MODIS) land cover map over the Asia-Oceania region through the reclassification of the misclassified pixels. The misclassified pixels are defined where the number of land cover types are greater than 3 from the 12 years of MODIS land cover map. The ratio of misclassified pixels in this region amounts to 17.53%. The MODIS Normalized Difference Vegetation Index (NDVI) time series over the correctly classified pixels showed that continuous variation with time without noises. However, there are so many unreasonable fluctuations in the NDVI time series for the misclassified pixels. To improve the quality of input data for the reclassification, we corrected the MODIS NDVI using Correction based on Spatial and Temporal Continuity (CSaTC) developed by Cho and Suh (2013). Iterative Self-Organizing Data Analysis (ISODATA) was used for the clustering of NDVI data over the misclassified pixels and land cover types was determined based on the seasonal variation pattern of NDVI. The final land cover map was generated through the merging of correctly classified MODIS land cover map and reclassified land cover map. The validation results using the 138 ground truth data showed that the overall accuracy of classification is improved from 68% of original MODIS land cover map to 74% of reclassified land cover map.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.131-142
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• 2015

The aim of study is to present a better teaching strategy to reduce writing errors of Chinese learners of Korean language after finding out what reasons of errors were after analyzing of their writing errors in Korean language. Analyzed contents were writhing in Korean language of 'how I think Korean', 'about Chinese and Korean culture', 'friends' and analyzed what errors were occurred. The vocabulary errors frequencies were counted by the criteria which was set by a researcher. The results were as follows. The frequency of substitute error was the most and were followed by spelling error, wrong type error, omission error and adding error. It is suggested when we teach Korean Language to Chinese learners and develop text for them, the vocabularies should be presented with examples of how to be used in context instead of presenting only vocabulary on the text. It would be a better way to reduce writing errors of Chinese learners of Korean language.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1247-1254
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• 2020

With the advent of the smart home era, equipment that provides confidentiality or performs authentication exists in various places in real life. Accordingly security against physical attacks is required for encryption equipment and authentication equipment. In particular, fault injection attack that artificially inject a fault from the outside to recover a secret key or bypass an authentication process is one of the very threatening attack methods. Fault sources used in fault injection attacks include lasers, electromagnetic, voltage glitches, and clock glitches. Fault injection attacks are classified into single fault injection attacks and multiple fault injection attacks according to the number of faults injected. Existing multiple fault injection systems generally use a single fault source. The system configured to inject a single source of fault multiple times has disadvantages that there is a physical delay time and additional equipment is required. In this paper, we propose a multiple fault injection system using heterogeneous fault sources. In addition, to show the effectiveness of the proposed system, the results of a multiple fault injection attack against Riscure's Piñata board are shown.