• Korean Journal of Organic Agriculture
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• v.18 no.2
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• pp.257-269
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• 2010

To investigate the possibility of discrimination between organic and non-organic rice using stable isotope nitrogen of natural abundance, organic rice of 17 samples and non-organic rice of 13 samples grown at adjoining organic rice field were collected in 2008. Rice was grinded into brown rice, milled rice and hull, and samples were analysed for nitrogen and $\delta^{15}N$ at NICEM. Authors also made inquiries about N source for both farmers who conduct organic- and non-organic rice cultivation. In order to know whether the $\delta^{15}N$ can be used in discrimination between organic and non-organic rice, discriminant analysis were made with SPSS and logistic method. 1. Organic farmers used manure, rice bran, used mushroom culture, fermented fertilizer (company products), and oil cake, but non-organic farmers applied compound fertilizer. Rice straws were remained in organic rice field while moved out in non-organic field. 2. There were difference in $\delta^{15}N$ among organic rice and its byproduct(7.760????% in hull, 6.720????% in rice), but significant difference was not found between them. And the trend was same between province. Non-organic rice showed similar results. 3. Significant difference of $\delta^{15}N$ were found between organic rice and non-organic rice (p<0.01) and between hull of organic rice and that of non-organic rice hull (p<0.05). $\delta^{15}N$ seemed to be useful criteria for discrimination of organic and non-organic rice. 4. When applied discrimination analysis of SPSS and logistic, there were significant difference between organic rice, non-organic rice and its byproducts except brown rice and hull in SPSS method. Hull can be used as the most useful component for unknown sample prediction with 83.3% probability.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.1-5
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• 2005

The purpose of reinforcement learning is to maximize rewards from environment, and reinforcement learning agents learn by interacting with external environment through trial and error. Q-Learning, a representative reinforcement learning algorithm, is a type of TD-learning that exploits difference in suitability according to the change of time in learning. The method obtains the optimal policy through repeated experience of evaluation of all state-action pairs in the state space. This study chose n-Queen problem as an example, to which we apply reinforcement learning, and used Q-Learning as a problem solving algorithm. This study compared the proposed method using reinforcement learning with existing methods for solving n-Queen problem and found that the proposed method improves the convergence rate to the optimal solution by reducing the number of state transitions to reach the goal.

• Food Engineering Progress
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• v.15 no.1
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• pp.41-47
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• 2011

The defatted rice bran (DRB) was enzymatically hydrolyzed using eight commercial proteases for 4hr at optimum pH and temperature. Proteolytic hydrolysates were examined in supernatant and precipitate using lowry, semimicro kjeldahl and gravimetric method using weight difference before and after enzymatic hydrolysis. In lowry and kjeldahl protein assay method, two proteases (Alcalase and Protease N) were found to be the most effective enzymes. In gravimetric method, 60.6~118.3 mg protein/g DRB was hydrolyzed after eight commercial proteases treatments. Similar to lowry and kjeldahl method, 118.3 and 107.1 mg protein/g DRB were hydrolyzed after Alcalase and Protease N treatments, respectively. When two or three effective proteases (Protamex, Alcalase and Protease N) were applied at one time to obtain synergistic effect, significant increase (P<0.05) was observed when three proteases were applied at one time (63.4 mg protein/g DRB in lowry method and 204.5 mg protein/g DRB in gravimetric method). This result suggests that Alcalase and Protease N were the most effective enzymes for proteolysis of DRB and three commercial enzymes (Protamex, Alcalase and Protease N) showed the synergistic effect on the hydrolysis of DRB.

• Journal of Welding and Joining
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• v.19 no.1
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• pp.58-64
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• 2001

The initiation and propagation lives of fatigue crack were studied for spot weldments composed of cold rolled steel plates(SPC$\times$SPC) and galvanized steel plates(GA$\times$GA) using DC potential drop method(DCPDM). Through the various test results, it was known that the fatigue crack initiation and propagation behaviors in all specimens could be definitely detected by DCPDM. The fatigue crack initiation life( $N_{i}$) detected by DCPDM in SPC$\times$SPC and GA$\times$GA spot weldments increased as the welding current and the nugget diameter( $N_{d}$) increased. The fatigue crack propagation life($\Delta$ $N_{f-i}$) declined as the difference of $N_{i}$ and the fatigue fracture life( $N_{f}$) also increased according to the decrease of fatigue load, $\Delta$P and the increase of nugget diameter. In the same spot weldments, the increase of nugget diameter came to increase fatigue crack propagation life owing to a decrease of stress concentration in front of nugget, especially the increasing extent for GA$\times$GA spot weldment was very high. In the welding current 6kA, $N_{f}$ for GA$\times$GA spot weldment decreased more than that of SPC$\times$SPC specimen due to zinc layer coated in steel plate and undersized nugget diameter. On the other hand, in 8kA and 10kA, the GA$\times$GA spot weldment showed higher $N_{f}$ in spite of lower $N_{i}$, than that of SPC$\times$SPC specimen except 3,000N fatigue load.ue load. load.d.

• Korean Chemical Engineering Research
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• v.46 no.6
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• pp.1087-1094
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• 2008

This article presents a multi-scale simulation approach starting from the molecular level for the adsorption process development, specifically, in n-hexane adsorption on activated carbon. A grand canonical Monte-Carlo(GCMC) method is used for the prediction of adsorption isotherms of n-hexane on activated carbon at the molecular level. Geometric effects and hydrodynamic properties of the adsorption column are examined by means of the two dimensional CFD(computational fluid dynamics) simulation. The adsorption isotherms from the molecular simulation and the axial diffusivity from the CFD simulation are exploited for the process simulation where the elution curve of n-hexane is obtained. For the first moment(mean residence time) of the pulse-response with respect to temperature and flowrate, the process simulation results obtained from this three-steps multiscale simulation approach show a good agreement with experimental data within 20% of maximum difference. The multi-scale simulation approach addressed in this study will be useful to accelerate the adsorption process development, while reducing the number of experiments required.

• Korean Journal of Adult Nursing
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• v.16 no.1
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• pp.90-101
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• 2004

Purpose: The purpose was to examine the effectiveness of a psychosocial stress management program on stress and coping in student nurses. Method: A nonequivalent control group pre-posttest design was used. A convenience sample of 24 students from the Department of Nursing, Wonju College of Medicine, Yonsei University were assigned to experimental (n=12) and control groups(n=12). Stress was measured using the Visual Analog Scale (10 points) and blood cortisol. Coping was measured using a scale modified by So (1995) based on the Ways of Coping Checklist developed by Folkman and Lazarus (1985). Depression was measured using the CES-D by Radloff (1977) and state anxiety, using the State Anxiety Inventory by Spielberger (1976). The psychosocial stress management program included education, relaxation (Korean Dan Jeon-typed Breathing and music), and social support. Result: Results showed for the two groups, 1) a significant difference in stress scores (U= 19.50, p=0.002), 2) no difference in cortisol levels (8am, 4pm), 3) a significant difference in problem-focused coping (U=25.50, =0.007), 4) no difference in emotion-focused coping, and 5) no difference in state anxiety and depression. Conclusion: By utilizing the program, students were able to learn how to control their stress and improve their coping. Therefore with a partial modification, psychosocial stress management can be useful for continual management of stress in student nurses.

• Journal of applied mathematics & informatics
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• v.17 no.1_2_3
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• pp.283-296
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• 2005

It is well known that the ordering of the unknowns can have a significant effect on the convergence of a preconditioned iterative method and on its implementation on a parallel computer. To do so, we introduce a block red-black coloring to increase the degree of parallelism in the application of the block ILU preconditioner for solving sparse matrices, arising from convection-diffusion equations discretized using the finite difference scheme (five-point operator). We study the preconditioned PGMRES iterative method for solving these linear systems.

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2007.06a
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• pp.109-112
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• 2007

In this paper we describe a robust method of improving precision in monitoring high energy ion implantation processes. Ion implant energy accuracy was measured in the device manufacturing process using an unpatterned implanted layer on an intrinsic p-type silicon wafer. To increase Rs sensitivity to energy at the well implant process, a PN junction structure was formed by P-well and deep N-well implants into the p-type Si wafer. It was observed that the depletion layer formed by the PN junction was very sensitive to energy variation of the well implant. Conclusively, it can be recommended to monitor well implant processes using the Rs measurement method described herein, i.e., a PN junction diode structure since it shows excellent Rs sensitivity to variation caused by energy difference at the well implant step.

• Korean Journal of Materials Research
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• v.9 no.4
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• pp.434-438
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• 1999

Vickers microhardness for polished Cu specimen has been measured by conventional and new methods. The conventional microhardness was measured by observing the diagonal of indentation after the load was removed. Whereas, the new method for microhardness was obtained by measuring the penetration depth of indenter into the specimen under the load. As the applied load was increased, the microhardness obtained by new method was increased. When the applied load was in the range of 5mN to 80mN, the rate of elastic to total depth of indenter was about 6% and the calculated depth of rounded indenter was 0.07$\mu\textrm{m}$. The difference in microhardness measured by two different methods such as conventional and new methods can be explained in terms of the elastic deformation of specimen, the shape of practical indenter and pile up of material.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.345-346
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• 2007

In this study, an experimental method to be able to induce the evoked potential which was reflecting the activity of brain was designed, when the electromagnetic wave was exposed at human or not. The influence of the electromagnetic wave on each component of the evoked potential was discussed. Each component of N100, P100, N200, P300 and so on of the evoked potential was measured in the designed experimental method, And it was observed that the difference existed at each component when the electromagnetic wave was exposed and not exposed.