• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.3230-3253
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• 2017

Android malware steals users' private information, and embedded unsafe advertisement (ad) libraries, which execute unsafe code causing damage to users. The majority of such traffic is HTTP and is mixed with other normal traffic, which makes the detection of malware and unsafe ad libraries a challenging problem. To address this problem, this work describes a novel HTTP traffic flow mining approach to detect and categorize Android malware and unsafe ad library. This work designed AndroCollector, which can automatically execute the Android application (app) and collect the network traffic traces. From these traces, this work extracts HTTP traffic features along three important dimensions: quantitative, timing, and semantic and use these features for characterizing malware and unsafe ad libraries. Based on these HTTP traffic features, this work describes a supervised classification scheme for detecting malware and unsafe ad libraries. In addition, to help network operators, this work describes a fine-grained categorization method by generating fingerprints from HTTP request methods for each malware family and unsafe ad libraries. This work evaluated the scheme using HTTP traffic traces collected from 10778 Android apps. The experimental results show that the scheme can detect malware with 97% accuracy and unsafe ad libraries with 95% accuracy when tested on the popular third-party Android markets.

• 한국컴퓨터게임학회논문지
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• 제31권4호
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• pp.167-174
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• 2018

동형건반배치는 타일 형태의 건반 악기에서 음의 배치를 일관되게 하는 방법으로 같은 방향의 이웃 건반에 같은 음정차이로 배치함으로써 일관된 음계배치가 가능하도록 하는 방법이다. 비교적 오래전부터 사용되어 왔지만 최근에 다양한 현대적인 악기 설계나 소프트웨어적인 악기의 인터페이스에서 적용함으로써 주목받아오는 방법이다. 여기에는 서로 다른 다양한 배치 방법들이 제안되어 왔으나 몇 가지가 존재하는 지 서로 어떤 관계에 있는 지 등에 대한 연구가 거의 이루어져 있지 않다. 본 논문에서는 이러한 동형건반배치에 대해 분류 방법을 제시하고 이들 간의 관계에 대해서 분석한다. 이는 기존에 알려져 있는 것보다 훨씬 적은 수의 동형건반배치 종류가 존재함을 보이고 분류의 틀을 마련하여 동형건반배치에 대한 연구의 기반을 제시하였다. 이를 바탕으로 좀 더 체계적인 분석과 연구가 이루어 질 것으로 기대되며 다양한 음악용 인터페이스를 개발하는 데 활용할 수 있을 것으로 기대한다. 이러한 연구는 음악 교육용 게임에서 기본적인 요소인 음정, 화성, 화음, 음계 등을 이해하도록 트레이닝 시키는 데 매우 중요한 역할을 할 것으로 보인다.

• 대한의용생체공학회:의공학회지
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• 제16권2호
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• pp.157-166
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• 1995

The Electroencephalogram (EEG) and evoked potential (EP) t;ave widely been used for study of brain functions. The EEG and EP signals acquired from multi-channel electrodes placed on the head surface are often interfered by other relatively large physiological signals such as electromyogram (EMG) or electroculogram (EOG). Since these artifact-affected EEG signals degrade EEG mapping, the removal of the artifact-affected EEGs is one of the key elements in neuro-functional mapping. Conventionally this task has been carried out by human experts spending lots of examination time. In this paper a neural-network based classification is proposed to replace or to reduce human expert's efforts and time. From experiments, the neural-network based classification performs as good as human experts : variation of decisions between the neural network and human expert appears even smaller than that between human experts.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.376-379
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• 2003

In this paper we describe DCClass, a tool for fuzzy information granulation with transparency constraints. The tool is particularly suited to solve fuzzy classification problems, since it is able to automatically extract information granules with class labels. For transparency pursuits, the resulting information granules are represented in form of fuzzy Cartesian product of one-dimensional fuzzy sets. As a key feature, the proposed tool is capable to self-determining the optimal granularity level of each one-dimensional fuzzy set by exploiting class information. The resulting fun information granules can be directly translated in human-comprehensible fuzzy rules to be used for class inference. The paper reports preliminary experimental results on a medical diagnosis problem that shows the utility of the proposed tool.

• 한국공작기계학회논문집
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• 제13권3호
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• pp.24-29
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• 2004

The grinding process plays a key role which decides the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by watching. In this study, we choose the method which can be observed directly by using of computer vision and then apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complicated surface image. We observe the change of the wheel surface by using of the gray level run lengths which are representative in this technique.

• 전기학회논문지
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• 제64권1호
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• pp.113-120
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• 2015

In this paper, we propose a feature extraction method using the stacked autoencoders which consist of restricted Boltzmann machines. The stacked autoencoders is a sort of deep networks. Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can be interpreted as stochastic neural networks. In terms of pattern classification problem, the feature extraction is a key issue. We use the stacked autoencoders networks to extract new features which have a good influence on the improvement of the classification performance. After feature extraction, fuzzy k-nearest neighbors algorithm is used for a classifier which classifies the new extracted data set. To evaluate the classification ability of the proposed pattern classifier, we make some experiments with several machine learning data sets.

• 생물정신의학
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• 제5권1호
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• pp.17-33
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• 1998

Advances in molecular biology contribute to the understanding genetic mechanism of psychiatric disorders. They have renewed hope for the discovery of disease relevant gene. However, the results somewhat confused. And we will wait for a long time for the application of gene therapy in schizophreniar. Fortunately we could classified the schizophrenia with genotypes of dopamine and serotonin receptors. It is expected that this genetic classification could provide key strategy for the therapeutic application in biological treatment for schizophrenia. The purpose of this article is to call attention of the institute participants to linkage, association, mRNA expression, genotypic classification and to the need for more systemic research. The author summarized the modified methods which were done in his laboratory in appendix.

• 한국환경교육학회지:환경교육
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• 제14권1호
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• pp.166-173
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• 2001

This study was designed to find answers for the two questions that had been raised in the study of Lee and Fortner(2000): 1) How can the appropriateness of classification of environmental issues by perceived certainty and tangibility be improved? and 2) How are perceived certainty, tangibility, significance of environmental issues and willingness to act to solve those problems related to each other? A questionnaire consisted of 40 questions was administered to 144 college students. Results of the study revealed that classification through cluster analysis appeared to be more appropriate and credible than classification by mean scores or medians. Four major factors were found to have high positive correlations to each other as hypothesized. These results imply for environmental educators that people's attitude toward and behavior on environmental problems are likely to be more strongly and meaningfully associated with their perceptions of those problems that are subjective and flexible than physical or chemical characteristics of the problems that are frequently considered as objective.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.447-452
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• 2000

The grinding plays a key role which decide the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by visualizing. In this study, we choose the direct method of observation by making use of computer vision, and apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complex surface image. We observe the change of the wheel surface by making use of the gray level run lengths which are representative prince in this technique.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.881-886
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• 2012

The paper is facial expression recognition based on the inclined face geometrical information. In facial expression recognition, mouth has a key role in expressing emotions, in this paper the features is mainly based on the shapes of mouth, followed by eyes and eyebrows. This paper makes its efforts to disperse every feature values via the weighting function and proposes method of expression classification with excellent classification effects; the final recognition model has been constructed.