• Journal of Microbiology and Biotechnology
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• v.16 no.5
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• pp.748-756
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• 2006

We propose a genome-scale clustering approach to identify whole genome relationships using the functional groups given by the Kyoto Encyclopedia of Genes and Genomes Orthology (KO) database. The metabolic capabilities of each organism were defined by the number of genes in each functional category. The archaeal, bacterial, and eukaryotic genomes were compared by simultaneously applying a two-step clustering method, comprised of a self-organizing tree algorithm followed by unsupervised hierarchical clustering. The clustering results were consistent with various phenotypic characteristics of the organisms analyzed and, additionally, showed a different aspect of the relationship between genomes that have previously been established through rRNA-based comparisons. The proposed approach to collect and cluster the metabolic functional capabilities of organisms should make it a useful tool in predicting relationships among organisms.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.181-184
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• 2003

가격대 성능 비를 고려할 때 저가격으로 병렬시스템을 제작할 수 있다는 특징으로, 시작된 클러스터시스템이 구성 장비의 특수화 및 전체 시스템의 대규모화로 인하여 더 이상 보조적인 소규모 시스템이 아닌, 슈퍼컴퓨터의 한 종류를 이루는 비중있는 시스템으로 자리매김하고있다. 이처럼 클러스터시스템 개발의 전반적인 방향이 대규모화를 지향하는 점을 고려할 때, 각 구성 요소의 무결성, 즉 안정성 점검은 시스템의 정상적인 운영을 위해서 중요한 부분이다. 본 논문에서는 클러스터시스템을 구성하는 각 계산노드의 메모리의 이상 유무을 관리 서버 측면에서 종합적으로 진단하기 위한 관리 도구의 개발을 다루고 있다.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.9-14
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• 2003

A Bayesian model-based clustering method is proposed for clustering objects on the basis of dissimilarites. This combines two basic ideas. The first is that tile objects have latent positions in a Euclidean space, and that the observed dissimilarities are measurements of the Euclidean distances with error. The second idea is that the latent positions are generated from a mixture of multivariate normal distributions, each one corresponding to a cluster. We estimate the resulting model in a Bayesian way using Markov chain Monte Carlo. The method carries out multidimensional scaling and model-based clustering simultaneously, and yields good object configurations and good clustering results with reasonable measures of clustering uncertainties. In the examples we studied, the clustering results based on low-dimensional configurations were almost as good as those based on high-dimensional ones. Thus tile method can be used as a tool for dimension reduction when clustering high-dimensional objects, which may be useful especially for visual inspection of clusters. We also propose a Bayesian criterion for choosing the dimension of the object configuration and the number of clusters simultaneously. This is easy to compute and works reasonably well in simulations and real examples.

• English Language & Literature Teaching
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• v.16 no.4
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• pp.201-222
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• 2010

The purpose of this study is to investigate /l/-deletion in lC clusters which are composed of a lateral followed by consonants at syllable-final position in English. For this, I have analyzed /l/-deletion in words depending on conditions and theoretical analyses such as Sonority Sequencing Generalization, Cluster Simplification, Complex sounds and merger, and Feature Geometry, but they didn't offer a very satisfactory explanation to the phenomenon. Therefore, I adopted a historical approach in order to determine the cause and origin of /l/-deletion in lC clusters, and then as a phonological analysis tool, I relied on the constraints and their ranking in Optimal Theory framework for explaining /l/-deletion in the clusters more consistently. As a result, I can explain the phenomenon more explicitly than from the above mentioned analyses.

• International Journal of Human Ecology
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• v.5 no.2
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• pp.61-80
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• 2004

The introduction of the Internet in homes had an effect on family systems. The purpose of this study is to investigate the changes in family systems due to Internet use in South Korea. This study classified the types of changes in the family systems and analyzes the characteristics of each type. Systems approach provides the theoretical framework for this study. First, the cluster analysis demonstrated the three types of the changes in the family subsystems due to housewives' Internet use: 'positive changes', 'negative changes', and 'no changes'. Second, there are different characteristics among the types of changes according to demographic, Internet-related, and intra-system dynamic factors. These results suggest several implications for public policy. To utilize the Internet as a useful tool to improve the quality of family life, housewives must have the ability to control the Internet use and to manage their resources. In order to enhance their abilities of using the Internet, it may be necessary for the government to provide public educational programs for housewives.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2001.04a
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• pp.239-243
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• 2001

Neural networks are used in the framework of sensorbased tracking control of robot manipulators. They learn by practice movements the relationship between PSD (an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple backpropagation networks one of which is selected according to which division (corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.171-175
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• 2000

Neural networks are in the framework of sensorbased tracking control of robot manipulators. They learn by practice movements the relationship between PSD (an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple backpropagation networks one of which is selected according to which division (corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.445-446
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• 2006

By the reason of increased demand of high productivity, the researches on manufacturing process and equipments for reducing cycle time have been made in many directions of a machine tool industries. Among these, this paper proposed method of decreasing displacement in MC(machining center). Factors affecting displacement are a motor mass, head thickness, column thickness and base thickness. In this paper We could find design factors has much influence on decreasing the unclamping time using the Taguchi method and optimized the level of the factors using $ADAMS^{(R)}$.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.10a
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• pp.108-112
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• 2000

Neural networks are used in the framework of sensorbased tracking control of robot manipulators. They learn by practice movements the relationship between PSD (an analog Position Sensitive Detector) sensor readings for target positions and the joint commands to reach them. Using this configuration, the system can track or follow a moving or stationary object in real time. Furthermore, an efficient neural network architecture has been developed for real time learning. This network uses multiple sets of simple backpropagation networks one of which is selected according to which division (corresponding to a cluster of the self-organizing feature map) in data space the current input data belongs to. This lends itself to a very training and processing implementation required for real time control.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.4
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• pp.416-421
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• 2011

Recently there has been increase in need for high precision and high speed machining due to economic and environmental reasons. It is a very important issue that determines the optimal preload that is to be applied to bearings in order to satisfy the performance required in bearings according to its operation conditions. This study introduces a variable preload device that can automatically adjust the preload applied in a machine tool spindle using centrifugal force as opposed in existing rubber instrument. In this study, the deformation of the rubber device by the centrifugal force is analyzed and it is discussed that the proposed device can be worked properly through changes of the collar density.