• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.1
• /
• pp.160-167
• /
• 2009

In this paper, we apply the robust disturbance observer (DOB) to a SPM-based data storage (SDS) system. In the SDS system, coupling dynamics and parameter uncertainties are obstacles to the precision tracking control. Although the DOB is known to be an effective method to reject disturbances, there has been no systematic design approach to how to design DOB parameters. In this paper, the robust DOB is formulated based on the robust stabilization of normalized coprime factor plant description and the $H{\infty}$ loop shaping method. From the simulation and experimental results. the improved robustness and performance are obtained by the proposed robust DOB.

• Journal of the Korean Applied Science and Technology
• /
• v.12 no.1
• /
• pp.69-79
• /
• 1995

Ham, sausage and bacon were treated with common household processing techniques including refrigerated storage(0, 14, 28 days) and cooking(pan-frying, microwaving, boiling). Lipid oxidation was evaluated by measuring fatty acid composition, malonaldehyde(MA), TBA values and by measuring fluorescent products. Major fatty acid composition were oleic acid and followed respectively palmitic acid, stearic acid, linoleic acid, linolenic acid. There was no significant difference in fatty acid composition by cooking method but there was a tendency of being increased of unsaturated fatty acid during 28days storage. Ma, TBA and fluorescent products showed a tendency of being increased continually according to storage days rather than cooking method.

• Geosystem Engineering
• /
• v.21 no.6
• /
• pp.309-317
• /
• 2018

We employ a three-dimensional indirect boundary element method (BEM) to simulate temperature change around an underground liquefied natural gas storage cavern. The indirect BEM (IBEM) uses fictitious heat source strength on boundary elements as basic variables which are solved from equations of boundary conditions and then used to compute the temperature change at other points in the considered problem domain. The IBEM requires evaluation of singular integration for temperature change due to heat conduction from a constant heat source on a planar (triangular) region. The singularity can be eliminated by a semi-analytical integration scheme. However, it is found that the semi-analytical integration scheme yields sharp temperature gradient for points close to vertices of triangle. This affects the accuracy of heat flux, if they are evaluated by finite difference method at these points. This difficulty can be overcome by a combination of using a direct numerical integration for these points and the semi-analytical scheme for other points distance away from the vertices. The IBEM and the hybrid integration scheme have been verified with an analytic solution and then used to the application of the underground storage.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.10 no.6
• /
• pp.81-87
• /
• 2010

In order to calculate the accurate runoff from a basin, nonlinearity in the relationship between rainfall and runoff has to be considered. Many runoff calculation models assume the linearity in the relationship or are too complicated to be analyzed. Therefore, the storage function method has been used in the prediction of flood because of the simplicity of the model. The storage function method has five parameters with related to the basin and rainfall characteristics which can be estimated by the empirical trial and error method. To optimize these parameters, regression method or optimization techniques such as genetic algorithm have been used, however, it is not easy to optimize them because of the complexity of the method. In this study, the metamodel is proposed to estimate those model parameters. The metamodel is the combination of artificial neural network and genetic algorithm. The model is consisted of two stages. In the first stage, an artificial neural network is constructed using the given rainfall-runoff relationship. In the second stage, the parameters of the storage function method are estimated using genetic algorithm and the trained artificial neural network. The proposed metamodel is applied in the Peong Chang River basin and the results are presented.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.10
• /
• pp.118-127
• /
• 2014

DNA data storage refers to any technique for storing massive digital data in base sequence of DNA and has been recognized as the future storage medium recently. This paper presents an information hiding method for DNA data storage that the massive data is hidden in non-coding strand based on DNA steganography. Our method maps the encrypted data to the data base sequence using the numerical mapping table and then hides it in the non-coding strand using the key that consists of the seed and sector length. Therefore, our method can preserve the protein, extract the hidden data without the knowledge of host DNA sequence, and detect the position of mutation error. Experimental results verify that our method has more high data capacity than conventional methods and also detects the positions of mutation errors by the parity bases.

• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.417-425
• /
• 2019

Storage snapshot technology allows to preserve data at a specific point in time, and recover and access data at a desired point in time. It is an essential technology for storage protection application. Existing snapshot methods have some problems in that they dependent on storage hardware vendor, file system or virtual block device. In this paper, we propose a new snapshot method for solving the problems and creating snapshots on-line. The proposed snapshot method uses a method of extracting the log records of update operations at the virtual file system layer to enable the snapshot method to operate independently on file systems, virtual block devices, and storage hardwares. In addition, the proposed snapshot mehod creates and manages snapshots for directories and files without interruption to the storage service. Finally, through experiments we measure the snapshot creation time and the performance degradation caused by the snapshot.

• Journal of Korean Institute of Industrial Engineers
• /
• v.24 no.3
• /
• pp.407-416
• /
• 1998

For fast Cholesky factorization, it is most important to reduce the number of nonzero elements by ordering methods. Generally, the minimum deficiency ordering produces less nonzero elements, but it is very slow. We propose an efficient implementation method. The minimum deficiency ordering requires much computations related to adjacent nodes. But, we reduce those computations by using indistinguishable nodes, the clique storage structures, and the explicit storage structures to compute deficiencies.

• Proceedings of the KIEE Conference
• /
• 2006.07d
• /
• pp.2142-2143
• /
• 2006

Today any data storage system cannot satisfy all of these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanically actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this research, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. Firstly, find fuzzy rule to use test bed system for Element of Holographic Digital Data System. Secondly, make fuzzy rule table using DNA coding method. Finally, reduce prior error element and recording digital data. Recording ratio and reconstruction ratio show good performance.

• Korean journal of food and cookery science
• /
• v.20 no.6 s.84
• /
• pp.684-694
• /
• 2004

The purpose of this study was to estimate the microbial and physicochemical quality of some raw vegetables and suggest safer methods of sanitization and storage for foodservice operations. Three sanitization methods were utilized during pre-preparation (tap water, chlorine water and electrolyzed water). Leek and Chicory were monitored as ingredient, with different storage temperatures $(3,\;10^{\circ}C)$ and periods (1, 2, 3, 4 and 7 days). The largest reduction in the microbial counts was shown with the electrolyzed water and for the case before immersion in chlorine water, performing a first washing was more effective in reducing the microbial counts than with no washing. The results showed that the storage temperature, pH, moisture content and microbial loads were important factors affecting the quality of vegetables.

• Proceedings of the Korean Society of Dyers and Finishers Conference
• /
• 2009.03a
• /
• pp.120-121
• /
• 2009

We prepared polymer-PCM gels such as prepared frozen gel from polypropylene and n-Paraffin for thermal storage and release materials, their basic properties and possible applications especially in latent heat storage. The preparation methods are used to melting method and absorption method respectively. The composition and properties of prepared frozen gels from polypropylene and n-Paraffin were observed by DSC, FT-IR spectra, ARES and Elemental analysis. We can prepare frozen gels in different temperature for latent heat storage materials as controlling composition of phase change material as well as using different incorporating phase change materials. These frozen gels can be used to latent heat storage materials for several applications.