• The Journal of the Acoustical Society of Korea
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• v.21 no.2E
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• pp.98-104
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• 2002

The present study describes a combination method to recognize the human affective states such as anger, happiness, sadness, or surprise. For this, we extracted emotional features from voice signals and facial expressions, and then trained them to recognize emotional states using hidden Markov model (HMM) and neural network (NN). For voices, we used prosodic parameters such as pitch signals, energy, and their derivatives, which were then trained by HMM for recognition. For facial expressions, on the other hands, we used feature parameters extracted from thermal and visible images, and these feature parameters were then trained by NN for recognition. The recognition rates for the combined parameters obtained from voice and facial expressions showed better performance than any of two isolated sets of parameters. The simulation results were also compared with human questionnaire results.

• Journal of Communications and Networks
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• v.10 no.3
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• pp.253-257
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• 2008

In this paper, the performance of generic orthogonal space-time block codes (OSTBCs) introduced by Alamouti [2], Tarokh [3], and Su and Xia [11] is analyzed. We first define one-dimensional component symbol error function (ODSEF) from the exact expression of the pairwise error probability of an OSTBC. Utilizing the ODSEF and the bit error probability (BEP) expression for quadrature amplitude modulation (QAM) introduced by Cho and Yoon [9], the exact closed-form expressions for the BEP of linear OSTBCs with QAM in quasi-static Rayleigh fading channel are derived. We also derive the exact closed-form of the BEP for some OSTBCs which have at least one message symbol transmitted with unequal power via all transmit antennas.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.11
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• pp.1290-1298
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• 1992

In this paper, the Poisson's equation is solved two-dimensionally without employing any fitting parameters, and the model formulation of a short-channel MOSFET is accomplished fully analytically. It automatically derives a very accurate drain current expression that can be used simultaneously for strong inversion, subthreshold, and saturation regions. Furthermore, this model gives a unified explanation for the short-channel effect, the body effect, the DIBL effect, and even the variation of the effective carrier mobility. The obtained expression of the threshold voltage also includes the dependence on the oxide thickness, the n+ junction depth, and temperature.

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.153-159
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• 2005

Microarray gene expression technology has applications that could refine diagnosis and therapeutic monitoring as well as improve disease prevention through risk assessment and early detection. Especially, microarray expression data can provide important information regarding specific genes related with metastasis through an appropriate analysis. Various methods for clustering analysis microarray data have been introduced so far. We used twostep clustering fot ascertain metastasis related gene through t-test. Through t-test between two groups for two publicly available medulloblastoma microarray data sets, we intended to find significant gene for metastasis. The paper describes the process in detail showing how the process is applied to clustering analysis and t-test for microarray datasets and how the metastasis-associated genes are explorated.

• KOGO NEWS
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• v.5 no.4
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• pp.9-16
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• 2005

Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic expression data transforms the challenges m biomedical research into ones in bioinformatics. Clinical informatics has long developed technologies to imp개ve biomedical research by integrating experimental and clinical information systems. Biomedical informatics, powered by high throughput techniques, genomic-scale databases and advanced clinical information system, is likely to transform our biomedical understanding forever much the same way that biochemistry did to biology a generation ago. The emergence of healthcare and biomedical informatics revolutionizing both bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics and prognostics.

• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.1005-1021
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• 2007

Traditional procedures for DNA microarray data analysis are to preprocess and normalize the gene expression data, and then to analyze the normalized data using statistical tests. Drawbacks of the traditional methods are: genuine biological signal may be unwillingly eliminated together with artifacts, the limited number of arrays per gene make statistical tests difficult to use the normality assumption or nonparametric method, and genes are tested independently without consideration of interrelationships among genes. A novel method using average rank in each array is proposed to eliminate such drawbacks. This average rank method monitors differentially regulated genes among genetically different groups and the selected genes are somewhat different from those selected by traditional P-value method. Addition of genes selected by the average rank method to the traditional method will provide better understanding of genetic differences of groups.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.951-958
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• 2005

As a foundation study of stem cell applied research, it is necessary to identify the large gene expression through cDNA microarray to understand principles of the level of molecular about cell function. In this paper, we investigated the gene expression through the K-means clustering method and path analysis with genes related to pluripoteny and differentiation in an mouse early stage embryonic development process and embryonic stem cell differentiation. We find a few biological phenomenon through this study. Also, we realize that this process provides functional relationship of unknown genes.

• Journal of the Korean Data and Information Science Society
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• v.3 no.1
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• pp.1-16
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• 1992

In regression diagnostics, a number of joint influence measures based on various statistical tools have been discussed. We consider an alternate representation in terms of the predicted residual and g-leverage determined by the remaining points. By this approach, we choose the predicted residual sum of squares for the keypoints as joint influence measure and propose a new expression of it so that we can extend the single case form to the multiple case one. Furthermore we suggest a seach method for joint influence after investigating some properties of the new expression.

• Korean Institute of Interior Design Journal
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• no.23
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• pp.132-138
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• 2000

Architecture should deviate from euclidean ideas of abstract space while helping to accommodate individual perceptions and experiences of a given space. Concepts for making space should be cognitively processed. The process of gathering information from the environment represents a new spatial concept as expressed in the cognitive structural relationship between the environment and the individual as the subject of architecture. Additionally, the cognitive experience of space is primarily perceived visually, and visual perception is the basis for information-gathering and decision-making. Therefore architecture should be excluded from the conceptual focus on the existing space design rules, being expressed instead in experimental architectural spaces connected to subjective human experience. While some research has been done on this topic regarding architecture, further study is required in the area of interior design. This study proposes the possibility of composing effective living space through an investigation of cognitive space concept theory and expression elements, and includes a case study of Interior architectural spatial analysis.

• The Journal of Information Systems
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• v.23 no.3
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• pp.73-97
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• 2014

Internet has begun various transformation and innovation in terms of society, culture and industry. Today, Social Network Service(SNS) is an exceedingly popular and useful tool for making human relationships. Previous studies related to SNS, which based on Technology Acceptance Model(TAM), were focused on user acceptance of new technology. However, they had the limitations to focus on technology acceptance, without the consideration of the cognitive factors in using SNS. This study examined how the main factors of intention to use of SNS continuously affect perceived usefulness and ease of use through familiarity, self-expression, hedonic shopping value, utilitarian shopping value and personal relationship. The results of hypothesis testing showed that familiarity, self-expression, hedonic shopping value and personal relationship have some positive impacts on the perceived usefulness and ease of use. The practical contribution of this study is to suggest useful decision alternatives concerned to marketing strategies for acquiring and retaining long-term customers related to SNS business.