• Journal of the Korean Crystal Growth and Crystal Technology
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• v.12 no.6
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• pp.304-310
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• 2002

Novel charge trap type memory devices with reoxidized oxynitride gate dielectrics made by NO annealing and reoxidation process of initial oxide on substrate have been fabricated using 0.35 $\mu \textrm{m}$ retrograde twin well CMOS process. The feasibility for application as NVSM memory device and characteristics of traps have been investigated. For the fabrication of gate dielectric, initial oxide layer was grown by wet oxidation at $800^{\circ}C$ and it was reoxidized by wet oxidation at $800^{\circ}C$ after NO annealing to form the nitride layer for charge trap region for 30 minutes at $850^{\circ}C$. The programming conditions are possible in 11 V, 500 $\mu \textrm{s}$ for program and -13 V, 1ms for erase operation. The maximum memory window is 2.28 V. The retention is over 20 years in program state and about 28 hours in erase state, and the endurance is over $3 \times 10^3$P/E cycles. The lateral distributions of interface trap density and memory trap density have been determined by the single junction charge pumping technique. The maximum interface trap density and memory trap density are $4.5 \times 10^{10} \textrm{cm}^2$ and $3.7\times 10^{18}/\textrm{cm}^3$ respectively. After $10^3$ P/E cycles, interlace trap density increases to $2.3\times 10^{12} \textrm{cm}^2$ but memory charges decreases.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.477-482
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• 2015

Linear regressions and evolutionary nonlinear regression based compensation techniques for the short-range prediction of wind speed are investigated. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, but a linear regression based MOS is hard to manage an irregular nature of weather prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP(Genetic Programming) is suggested for a development of MOS for wind speed prediction. The proposed method is compared to various linear regression methods for prediction of wind speed. Also, statistical analysis of distribution for UM elements for each method is executed. experiments are performed for KLAPS(Korea Local Analysis and Prediction System) re-analysis data from 2007 to 2013 year for Jeju Island and Busan area in South Korea.

• Development and Reproduction
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• v.14 no.4
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• pp.243-251
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• 2010

ESRRB (Estrogen related receptor $\beta$) is an orphan receptor, and have a role on maintaining the undifferentiated state and self-renewal of pluripotent stem cell as a transcription factor which regulates the expression of OCT4 and NANOG genes. Also, Feng et al. (2009) reported that Esrrb, Oct4 and Sox2 could induce pluripotent stem cell from somatic cells. The aim of the present study was to develop the direct delivery system of human ESRRB protein into human amniotic fluid-derived stem cells (AFSCs) and to analyze the effect of ESRRB on the regulation of pluripotency-related genes. Human ESRRB has three isoforms arisen by alternative splicing. We cloned short-form ESRRB and made a fusion protein of ESRRB and R7 for an efficient protein transfer to cell. R7 as cell-penetrating peptide(CPP) can help to transfer ESRRB into cells. R7-ESRRB-His6 protein was observed in the cytoplasm and nuclei within 5 hours after treatment. Also, we could observe R7-ESRRB-His6 protein only in the nuclei within 24 hours. Realtime PCR showed that ESRRB increased expression of OCT4 and NANOG as well as SOX2 gene. Therefore, we demonstrated that R7-ESRRB-His6 proteins were efficiently transferred into the nuclei of AFSCs and work well as a possible transcription factor.

• Journal of Korean Society of Steel Construction
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• v.19 no.1
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• pp.29-41
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• 2007

Structural design, like other complex decision problems, involves many trade-offs among competing criteria. Although mathematical programming models are becoming increasingly realistic, they often have design limitations, that is, there are often relevant issues that cannot be easily captured. From the understanding of these limitations, a decision-support system is developed that can generate some useful alternatives as well as a single optimum value in the optimization of steel frame structures. The alternatives produced using this system are "good" with respect to modeled objectives, and yet are "different," and are often better, with respect to interesting objectives not present in the model. In this study, we created a decision-support system for designing the most cost-effective moment-resisting steel frame structures for resisting lateral loads without compromising overall stability. The proposed approach considers the cost of steel products and the cost of connections within the design process. This system makes use of an optimization formulation, which was modified to generate alternatives of optimum value, which is the result of the trade-off between the number of moment connections and total cost. This trade-off was achieved by reducing the number of moment connections and rearranging them, using the combination of analysis based on the LRFD code and optimization scheme based on genetic algorithms. To evaluate the usefulness of this system, the alternatives were examined with respect to various design aspects.