• Journal of the Korean Mathematical Society
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• v.45 no.4
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• pp.1075-1087
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• 2008

We study a class of KMS-symmetric quantum Markovian semigroups on a quantum spin system ($\mathcal{A},{\tau},{\omega}$), where $\mathcal{A}$ is a quasi-local algebra, $\tau$ is a strongly continuous one parameter group of *-automorphisms of $\mathcal{A}$ and $\omega$ is a Gibbs state on $\mathcal{A}$. The semigroups can be considered as the extension of semi groups on the nontrivial abelian subalgebra. Let $\mathcal{H}$ be a Hilbert space corresponding to the GNS representation con structed from $\omega$. Using the general construction method of Dirichlet form developed in [8], we construct the symmetric Markovian semigroup $\{T_t\}{_t_\geq_0}$ on $\mathcal{H}$. The semigroup $\{T_t\}{_t_\geq_0}$ acts separately on two subspaces $\mathcal{H}_d$ and $\mathcal{H}_{od}$ of $\mathcal{H}$, where $\mathcal{H}_d$ is the diagonal subspace and $\mathcal{H}_{od}$ is the off-diagonal subspace, $\mathcal{H}=\mathcal{H}_d\;{\bigoplus}\;\mathcal{H}_{od}$. The restriction of the semigroup $\{T_t\}{_t_\geq_0}$ on $\mathcal{H}_d$ is Glauber dynamics, and for any ${\eta}{\in}\mathcal{H}_{od}$, $T_t{\eta}$, decays to zero exponentially fast as t approaches to the infinity.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products me classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem far disposal products. In this paper, a heuristic approach fuzzy ART neural network is suggested. The modified fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its ai is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Journal of the Korean housing association
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• v.21 no.6
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• pp.11-18
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• 2010

The aims of this study were to grasp the real condition state and clarify the characteristics and influence of pollutants on the indoor air pollution in occupied apartment units. The research method was to measure the pollution levels of indoor air pollution, and investigate characteristics of the pollutants such as the outdoor environment, elapsed time after construction, finished materials, temperature, relative humidity, space extension, purchase with furniture and electric appliances, built-in closets, and method for cleaning the air. And these were made a comparition between industrial and residential area. The VOCs and formaldehyde concentration in indoor air were measured the 6 household in residental area and 5 household in industrial area. In conclusion, the concentration such as benzene, ethylbenzene, toluene, xylene, styrene showed the pollution state within permissible levels, however formaldehyde concentration has need a lot of attention as ever. And it turned out that the influence with reference to emission from building materials on indoor air pollution lessened under 18 months elapsed time after construction.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.4
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• pp.310-318
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• 2004

For many industrial problems originating from aerodynamic noise, noise prediction techniques, reliable and easy to apply, would be of great value to engineers and manufacturers. General algorithm is presented for the prediction of internal flow-induced noise from quick opening throttle valve in an automotive engine. This algorithm is based on the integral formula derived by using the General Green Function, Lighthill's acoustic analogy and Curle's extension of Lighthill's. Novel approach of this algorithm is that the integral formula is so arranged as to predict frequency-domain acoustic signal at any location in a duct by using unsteady flow data in space and time, which can be provided by the Computational Fluid Dynamics Techniques. This semi-analytic model is applied to the prediction of internal aerodynamic noise from a throttle valve in an automotive engine. The predicted noise levels from the throttle valve show good agreement with actual measurements. The results show that the dipole noise is dominant in this phenomena and the origin of noise sources is attributed to the anti-vortex lines formed in the down-stream from a throttle valve. This illustrative computation shows that the current method permits generalized predictions of flow noise generated by bluff bodies and turbulence in flow ducts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3982-3987
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• 2010

`Sansinkak' is the building which contains the picture or statue of mountain god(=Sansin). It is also an expression of respect for the mountain god. This building is usually very small, so a few person can enter inside it. Because people pray to mountain god for personal purpose, sometime this wishes are exclusive and egoistic, so narrow space is more suitable. Sansin is not the original god of Buddhism, it is the god of folk belief of traditional Korea, so every Sansinkak is located in the back slope of the temples, away from Buddha's building, the center area. Sansinkak is not only the pathway of vital force from back mountains to the temple, but also the exit to the infinite nature as an extension of Buddhist belief.

• Journal of Chest Surgery
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• v.17 no.2
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• pp.257-262
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• 1984

Acute purulent pericarditis, though not common in incidence after introduction of antibiotics, is still potentially life treating isease. Since 1971, we have experienced 14 cases of acute purulent pericarditis with successful treatment. Among these 14 cases, 9 cases were male and they had high occurrence on their third to fifth decades in age distribution. Isolation of causative organisms were obtained in 11 cases through the bacterial culture of infectious source which was mainly pericardial effusion or blood, and the most frequently recovered organism was the staphylococcus aureus. Pre-existing inflammatory disease preceding to pericarditis, named as antecedent disease, were proved in 12 cases, and among which contiguous extension from the intrathoracic infection such as pneumonia or empyema accounted for the majority of antecedent disease. Pericardiocentesis with administration of antibiotics were tried in all cases, but result in recovery in 1 patient only. Remaining 13 cases had persistent picture of pericarditis and necessitated surgical drainage procedure. Ten of these 13 cases were underwent the open pericardial window using a mode of anterior approach in 4 and subxiphoid approach in 6 cases respectively. Two cases of subxiphoid group were reoperated by the anterior interphrenic pericardiectomy, due to insufficient drain of too thick effusion. In remaining 3 cases, anterior interphrenic pericardiectomy was performed initially because of purulent effusion already changed into fibrinopurulent peel with thickened pericardium. Through the experience of this series, we recommended that pericardiectomy should not be reluctant in purulent pericarditis as a initial surgical procedure for advantage of complete removal of infected space and avoidance of late constrictive pericarditis.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. In this paper, a heuristic approach for fuzzy ART neural network is suggested. The modified Fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its aim is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.3_4
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• pp.187-194
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• 2004

Shear-Warp volume rendering has many advantages such as good image Quality and fast rendering speed. However in the interactive classification environment it has low efficiency of memory access since preprocessed classification is unavailable. In this paper we present an algorithm using the spacial locality of memory access in the interactive classification environment. We propose an extension model appending a rotation matrix to the factorization of viewing transformation, it thus performs a scanline-based rendering in the object and image space. We also show causes and solutions of three problems of the proposed algorithm such as inaccurate front-to-back composition, existence of hole, increasing computational cost. This model is efficient due to the spacial locality of memory access.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.12-20
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• 2018

After the "Landscaping Law" was enacted in 2007 Korea, national and local governments has been responding swiftly by seeking various methods. Seoul Metropolitan City and other municipalities have established "Seoul Coloring and Systematization" project, which analyzes and extracts the humanities, humanities and natural environments in 2007 as an opportunity to recognize the importance of environmental color. However, it is necessary to slightly supplement the color scheme created by the observer's concept. In this way, you have to find the color of the environment in a city where real life takes place. The city's environmental color has the concept of "walking" as the basic human behavior. Because the average speed is 4km, it differs from that of a vehicle that travels more than 60km per hour. Also, most of the frontage zone is used except for special cases. Therefore the characteristics of the environmental color and frontage zone on the road side were concluded in this paper as Single Type, Connection Type, and Extension Type. In addition, the principle of environmental color of city was established by the change of texture according to space of time and the characteristics of urban scale, and new media characteristics were found in various interactions. The results of this study suggest an environmental coloring strategy for workability such as hue continuity, hue harmonization and integrated design.

• Industrial Engineering and Management Systems
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• v.13 no.4
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• pp.454-462
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• 2014

Retention of possible churning customer is one of the most important issues in customer relationship management, so companies try to predict churn customers using their large-scale high-dimensional data. This study focuses on dealing with large data sets by reducing the dimensionality. By using six different dimension reduction methods-Principal Component Analysis (PCA), factor analysis (FA), locally linear embedding (LLE), local tangent space alignment (LTSA), locally preserving projections (LPP), and deep auto-encoder-our experiments apply each dimension reduction method to the training data, build a classification model using the mapped data and then measure the performance using hit rate to compare the dimension reduction methods. In the result, PCA shows good performance despite its simplicity, and the deep auto-encoder gives the best overall performance. These results can be explained by the characteristics of the churn prediction data that is highly correlated and overlapped over the classes. We also proposed a simple out-of-sample extension method for the nonlinear dimension reduction methods, LLE and LTSA, utilizing the characteristic of the data.