• Biotechnology and Bioprocess Engineering:BBE
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• v.5 no.3
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• pp.159-163
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• 2000

The genome sequencing project has generated and will contitute to generate enormous amounts of sequence data. Since the first complete genome sequence of bacterium Haemophilus in fluenzae was published in 1995, the complete genome sequences of 2 eukaryotic and about 22 prokaryotic organisms have detemined. Given this everincreasing amounts of sequence information, new strategies are necessary to efficiently pursue the phase of the geome project- the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip technology was developed to efficienfly identify the differential expression pattern of indepondent biogical samples. DNA chip provides a new tool for genome expreesion analysis that may revolutionize revolutionize many aspects of human kife including mew surg discovery and human disease diagnostics.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.455-467
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• 2016

This paper presents the constituent-based approach for aligning bilingual multiword expressions, such as noun phrases, by considering the relationship not only between source expressions and their target translation equivalents but also between the expressions and constituents of the target equivalents. We only considered the compositional preferences of multiword expressions and not their idiomatic usages because our multiword identification method focuses on their collocational or compositional preferences. In our experimental results, the constituent-based approach showed much better performances than the general method for extracting bilingual multiword expressions. For our future work, we will examine the scoring method of the constituent-based approach in regards to having the best performance. Moreover, we will extend target entries in the evaluation dictionaries by considering their synonyms.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.505-508
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• 2002

An emotionally modeled robot is dealt in this paper. The emotional model is required especially in the entertainment robot. Recently, the entertainment robots have been developed as the next generation of electronic toys. They require several capabilities such as perceiving, acting, communication, and surviving. The owner recognizes the communication with a entertainment robot by observing its expression and reaction. The expression is realized by emotion-based actions based on moving, dancing, sounding, speaking, and lighting. Therefore, we propose an emotional modeling algorithm, using the fuzzy logic system, in this paper. Good performance of the algorithm is confirmed by the result of a simulation.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.4-6
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• 2006

Tree-dependent component analysis (TCA) is a generalization of independent component analysis (ICA), the goal of which is to model the multivariate data by a linear transformation of latent variables, while latent variables fit by a tree-structured graphical model. In contrast to ICA, TCA allows dependent structure of latent variables and also consider non-spanning trees (forests). In this paper, we present a TCA-based method of clustering gene expression data. Empirical study with yeast cell cycle-related data, yeast metaboiic shift data, and yeast sporulation data, shows that TCA is more suitable for gene clustering, compared to principal component analysis (PCA) as well as ICA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.12
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• pp.3003-3017
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• 2013

In this paper, we investigate the outage performance of a cognitive relay network. We consider mutual interference in an independent, non-identically distributed Nakagmai-m fading environment. We first derive the close-form outage probability expression, which provides an efficient means to evaluate the effects of several parameters. This allows us to study the impact of several parameters on the network's performance. We then derive the asymptotic expression and reveal that the diversity order is strictly determined by the fading severity of the cognitive system. It is not affected by the primary network. Moreover, the primary network only affects the coding gain of the cognitive system. Finally, Monte Carlo simulations are provided, which corroborate the analytical results.

• Language and Information
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• v.20 no.1
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• pp.111-125
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• 2016

In this paper I argue that the subject in a Korean kes-cleft construction denotes the discourse referent that stands for the entity that satisfies the description of the cleft clause. This denotation thereby can be understood as a meta-linguistic referent which refers to the linguistic expression for a presupposed entity. In support of this claim, it is shown an anaphoric expression kekes also can be analyzed as a meta-linguistic referent. This analysis can explain why the subject and the predicate of a kes-cleft in Korean allow animacy crash.

• Language and Information
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• v.5 no.2
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• pp.57-74
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• 2001

In this paper, I propose syntactic, semantic and pragmatic restrictions on the distribution of the contrastive topic marker‘-(n)un’in Korean. A contrastive topic is associated with another focus. The association with focus is subject to syntactic islands. On the other hand, there is no syntactic restriction between a phrase attached with‘-(n)un’and a focused expression within the ‘-(n)un’phrase itself. In this area there is a semantic requirement that the alternatives generated by a focused expression be maintained up to the phrase attached with‘-(n)un’. Finally, when‘-(n)un’is used in an embedded clause, the whole sentence becomes natural when the contrastive topic introduced by‘-(n)un’and its alternative contrastive topic, which is presupposed by the contrastive topic marker, jointly constitute a more complex topic which is related to the whole context. And exclusiveness facilitates the formation of the whole complex context.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12A
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• pp.1138-1146
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• 2008

This paper considers 2-hop wireless cooperative communications networks with fixed decode-and-forward relays. Specifically, we first derive the closed-form BER expression for theoretically evaluating the end-to-end performance of these networks. Then, based on this expression and long-tenn fading statistics, we propose a power allocation method for source and relay. Such a method brings about multiple advantages in tenn of spectral efficiency and implementation complexity over other power allocation methods based on instantaneous fading statistics. A variety of numerical results reveal that the cooperative communications scheme with the proposed power allocation significantly outperforms that with the equal power allocation and the direct transmission scheme for any position of the relay subject to the same total transmit power constraint.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.741-753
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.2
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• pp.114-120
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• 1992

In this paper we derived the asymptotic distribution of the MUSIC null-spectrum, form which an exact expression of the asymptotic variance of the MUSIC null-spectrum can be obtained. From this result in addition an explicit expression of the normalized standard deviation has been derived and it is shown that the normalized standard deviation depends only on the number of sensors and the number of signals.