• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.49-56
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• 2014

In this paper, we propose a method for identifying hidden principal sentiments among large scale texts from documents, social data, internet and blogs by analyzing standard language, slangs, argots, abbreviations and emoticons in those words. The IRLBA(Implicitly Restarted Lanczos Bidiagonalization Algorithm) is used for principal component analysis with large scale sparse matrix. The proposed system consists of data acquisition, message analysis, sentiment evaluation, sentiment analysis and integration and result visualization modules. The suggested approaches would help to improve the accuracy and expand the application scope of sentiment analysis in social data.

• Journal of the Korean Vacuum Society
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• v.11 no.3
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• pp.141-150
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• 2002

Titanium oxide thin films were deposited by DC reactive magnetron sputtering(RMS) with Ar ion-beam assistance using end-Hall ion source at low oxygen partial pressure and long target-to-substrate distance. The optical and structural properties of deposited films were investigated by the measurement of measured transmittance and reflectance, atomic force microscope(AFM), and X-ray diffraction(XRD). The results show that the Ax ion-beam assisted RMS for titanium oxide thin films induces the higher packing density, lower absorption, and smoother surface than the conventional RMS, suggesting that it can be employed in deposition of optical dielectric coatings.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.715-717
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• 2005

Support vector machine(SVM)은 최근 각광받는 기계학습 방법 중 하나로서, kernel function 이라는 사상(mapping)을 이용하여 입력 공간의 벡터를 classification이 용이한 특징 (feature) 공간의 벡터로 변환하는 것을 근간으로 한다. SVM은 이러한 특징 공간에서 두 클래스를 구분 짓는 hyperplane을 일련의 최적화 방법론을 사용하여 찾아내며, 주어진 문제가 convex problem 인 경우 항상 global optimal solution 을 보장하는 등의 장점을 지닌다. 한편 bioinformatics 연구에서 주로 사용되는 데이터는 측정 오류 등 일련의 오류를 포함하고 있으며, 이러한 오류는 기계학습 방법론이 어떤 decision boundary를 찾아내는가에 영향을 끼치게 된다. 특히 SVM의 경우 이러한 오류는 특징 공간 벡터간의 관계를 나타내는 Gram matrix를 변화로 나타나게 된다. 본 연구에서는 입력 공간에 오류가 발생할 때 그것이 SVM 의 decision boundary를 어떻게 변화시키는가를 대표적인 두 가지 kernel function, 즉 linear kernel과 Gaussian kernel에 대해 분석하였다. Wisconsin대학의 유방암(breast cancer) 데이터에 대해 실험한 결과, 데이터의 오류에 따른 SVM 의 classification 성능 변화 양상을 관찰하여 커널의 종류에 따라 SVM이 어떠한 특성을 보이는가를 밝혀낼 수 있었다. 또 흥미롭게도 어떤 조건 하에서는 오류가 크더라도 오히려 SVM 의 성능이 향상되는 것을 발견했는데, 이것은 바꾸어 생각하면 Gram matrix 의 일부를 변경하여 SVM 의 성능 향상을 꾀할 수 있음을 나타낸다.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.15-32
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• 2018

In this research, SSQ is used to validate and explore effective indices for VR sickness and to diagnose the severity of each symptom. Therefore, this research used first, third person game and $360^{\circ}$ actual content which are mainly used in existing VR contents, and measured various sickness symptoms using SSQ. Also, according to the result of statistical analysis, increased the power and contribute to identify virtual reality sickness measurement method. In addition, this research examined the difference of gender, age and the experience of virtual reality using statistical methodology, and improved diagnostic capability.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.603-605
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• 1999

본 논문은 통계적 Regression방법인 Alternating Conditional Expectation(ACE) 방법을 적용하여 다중계측기를 이용한 공간 변수의 분포에 대한 추정 혹은 재구성 문제를 분석하는 방법을 제시하고 있다. 한다. 계측기 설치 비용 및 설치 위치의 한계로 인해 완벽하게 이루어지기 힘든 공간 변수의 연속적인 분포 추정은 공정 시스템이나 안전성 관련 변수의 감시분야에 많이 응용되고 있다. 본 논문은 계측기 추가에 따르는 비용을 줄이거나 동일한 수의 계측기로 측정오차를 감소시킬 목적으로 가상계측기의 개념을 도입하고 이를 적용하기 위한 통계적 추정 방법론을 기술하고 있다. 수치모사를 통한 분석결과 본 방법은 비선형성이 큰 변수분포에 대해서도 Robust한 결과를 주는 것을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.946-948
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• 2004

지역정렬(local alignment)과 전체정렬(global alignment)로 대표되는 정렬 문제는 전산학 분야의 전형적인 문제로, 두 서열의 전체적인 또는 부문적인 유사성(similarity)을 찾아 주기 위한 방법이다. 특히 정렬은 두 문자열에서 유사하게 나타나는 유사 서브스트링을 찾아내는 문제라든가 근래의 생물정보학에서 두 DNA시퀀스간의 유사도를 판별하는 문제 등에서 매우 중요란 기법이다. 본 논문에서는 두 서열들을 유사하게 매칭 시켜 주는 기존의 정렬 방법을 응용, 변형하여 C, C++. JAVA등으로 짜여진 프로그램 소스들의 유사도를 측정하는 방법을 제시하였다. 실제로 이런 프로그램 소스의 표절은 대학교육 수업과정 등에서 빈번하게 발생되는 문제점으로서 본 논문에서는 프로그램 소스표절을 검사, 탐지할 수 있는 방법론 및 구체적인 프로그램과 그 결과를 제시하고 있다. 아울러 두 프로그램간의 유사성을 비교하기 위해 기존의 지역정렬 방법을 보다 효율적으로 적절히 변형시키는 방법을 제시하고 있다.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.1-9
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• 2012

Emerging three-dimensional television (3DTV) as a new IT product shows a possibility that television is not for just watching broadcasting, but an attractive tool for applying it to our real life. Three dimensional television is generally more effective and attractive than two-dimensional television (2DTV). But it still needs continuous technological improvement to solve its inherent limitations until many customers decide to purchase 3DTVs without hesitation. Innovative products like 3DTV encounter a quality problem leading purchase decision by customers. Quality is regarded as one of the most important factors affecting customers to adopt and use the product. Furthermore, measuring quality effectively is considerable for the 3DTV research. In this paper, we suggest the Analytic Hierarchy Process(AHP) method for evaluating 3DTVs in a view of quality. We describe quality criteria affecting the 3DTV selection through a literature survey and develope an analytical method for measuring quality. We classify the quality of 3DTV into four types and suggest a concept of the quality ratio as a measurement criteria instead of the quality gap. Though a numerical example, we show how priorities of 3DTV with versatile manufacturers is computed.

• Journal of the HCI Society of Korea
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• v.2 no.1
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• pp.13-24
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• 2007

For many years, human-computer interaction (HCI) practitioners have focused on usability in order to enhance the user experience, and companies have seen it as an area where they can gain advantages over their competitors. However, a focus on usability limits the potential of HCI research because it restricts the concept of user experience to just an implemented functionality of the information technology (IT). Therefore, it is necessary to expand the boundary of user experience research into a holistic dimension. We suggest that one of the most powerful ways to broadly understand user experience with an IT is to investigate the attributes of an IT and users' perceived values and to construct a user experience structure, a hierarchical structure between the attributes of an IT and users' perceived values. This study thus undertakes two research tasks: to develop a specific methodology, which is the visual probing, for constructing a user experience structure with the attributes of an IT and users' perceived values, and then to build a user experience structure practically by conducting a case study to a specific IT: mobile data service.

• Information Systems Review
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• v.10 no.2
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• pp.269-289
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• 2008

It is very difficult problem to estimate and evaluate the performance of e-government system which scope and size are large and its effectiveness can not be seen shortly but reveals after several years. It is because the previous offline processes can not be transformed to online ones fully and shortly. For such e-transformation cases, the performance evaluation model should be adjusted and modified gradually as time passes. This paper propose new EEM(E-transformation Evaluation Model) model and methodology to evaluate G2B system that is one of large e-government project. EEM model can derive monetary value of e-transformatized business process areas(online areas). It also estimate the expected effect of offline area that is not yet transformed to online. EEM model consists of standard model, verification model and estimation model with some variables such as evaluation year, evaluation area and data type. By using survey data and database data together it can validate the correctness of the model and derive the effect of the system introduction. This paper also propose EEM evaluation methodology consisting of 5 stages and 10 sub processes to evaluate online and offline effect efficiently. To show the usefulness of this study, we evaluate the performance of Korea G2B system named KONEPS which is famous as a successful e-government case in the world by using the proposed model and methodology. The proposed model and methodology can be applied to different similar areas including e-government projects and large scale information system introduction in private sectors. This study can be also used for establishing appropriate policies about e-government project and informatization issues.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.115-126
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• 2013

The purpose of this study is to understand the utility of election campaign advertising by applying Q methodology that draw upon schematic model in subjectivity study. A survey was carried out among college students to classify the 16 selected Q-statements into a normal distribution using a 7 point scale. The collected data was analyzed using QUANL program, and principal component analysis using varimax rotation was used to identify the types of perceived utility of election campaign advertising. Type I can be categorized by a strong concern for the advertising technique improvement, Type II can be categorized by advocating for interest induction and Type III can be categorized by the truth inducement. The use of Q methodology provides insights into audience perceptions on the utility of election campaign advertising that would not be available through traditional methodologies and offers a foundation for audience involvement to address and overcome concerns about the utility of advertising for election campaign.