• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.1
• /
• pp.13-21
• /
• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.

• Journal of Life Science
• /
• v.19 no.9
• /
• pp.1218-1225
• /
• 2009

Difractose anhydrides (DFAs) is studied as a sweetener for diabetics because of its structural property. DFAs have four types: DFA I, III, IV (degradation of levan) and V (degradation of inulin). Especially, DFA IV has been shown to enhance the absorption of calcium in experiments using rats. Levan fructotransferase is an enzyme for producing di-d-fructose-2,6':6,2-dianhydride (DFA IV). To identify structural characterization, we purified wild-type and mutants (D63A, D195N and N85S) of levan fructotransferase (LFTase) from Microbacterium sp. AL-210. These proteins were purified to apparent homogeneity by Ni-NTA affinity column, Q-sepharose ion exchange and gel filtration chromatography and detected by SDS-PAGE. They were also analyzed by circular dichroism (CD) measurements, JNET secondary structure prediction, activity measurements at various temperatures, and pH analysis. The optimum pH for the enzyme-catalyzed reaction was pH 7.5 and optimum temperature was observed at $55^{\circ}C$. Along with wild-type LFTase, mutants were analyzed by CD measurement, fluorescence analysis and differential scanning calorimetry (DSC). N85S showed less $\alpha$-helix and more $\beta$ strand than others. Also, N85S showed almost the same curve as wild-type in their steady-state fluorescence spectra, whereas mutant D63A and D195N showed higher intensity than wild-type. The amino acid sequence of wild-type LFTase was compared to the sequences of exo-inulinase from Aspergillus awamori, a plant fructan 1-exohydrolase from Cichorium intybus, and Thermotogo maritime (Tm) invertase and showed a high identity with Exo-inulinase from Aspergillus awamori.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2007.11a
• /
• pp.230-230
• /
• 2007

전력선 통신(Power Line Communication)은 최근 전력선을 이용한 통신기술의 발달과 더불어 세계적으로 관심도가 높아지고 연구 개발 및 자본 투자가 활발히 진행되고 있으며, 안정적인 네트워크를 구성하기 위해서는 고주파 전력선 통신 신호를 차단하는 블로킹 필터가 반드시 적용되어야 한다. 전력선 통신용 블로킹 필터는 광대역의 주파수 특성과 높은 신호감쇄 특성 및 대전류 특성이 요구되며, 이러한 특성을 구현하기 위해서는 블로킹 필터의 핵심부품인 자심재료의 고투자율 및 대전류화가 이루어져야 한다. 따라서 본 연구에서는 우수한 전 자기적 특성이 균일하게 유지되고, 전력선에 흐르는 대전류에 의한 자심재료의 포화가 발생하지 않도륵 새로운 자심 재료를 설계하여, 전력선 통신을 적용한 홈 네트워크 구축의 핵심 부품인 광대역 블로킹 필터를 개발하고자 하였다. 2350과 0.3 T의 투자율과 포화자속 밀도를 갖는 EI 형상의 자심재료를 해석모델로 설정하고 다중 에어 갭의 위치에 따른 전류와 자속밀도 변화를 유한요소 해석법으로 분석한 결과 자심재료의 대전류 특성에 지배적인 영향을 미치는 에어 캡의 삽입 위치를 알 수 있었고, 새로운 해석 모델인 I 형상의 로드(ROD) 코어에 대해 수치해석을 수행하여, 100A의 통전 전류에서도 자기적으로 포화되지 않고 인덕턴스의 정밀 제어가 가능하고, 특성의 신뢰성과 대전류에 대한 안정성을 증가시킬 수 있는 인덕터를 설계하였다. 또한 수동소자를 이용한 LC 공진회로를 기본 구성으로 하고, 주파수 대역, 신호 감쇄율과 대전류 특성, 상용화를 고려하여 블로킹 필터 회로를 설계하였으며, 유한요소해석법을 적용한 전자장 모의해석을 통하여 최소의 크기를 갖는 I 형상의 자심재료에 $6{\Phi}$의 에나멜 동선을 6.5턴, 6턴 권선하여 2.5, $2.15\;{\mu}H$의 인덕턴스를 갖는 직렬 인덕터를 구현하였고 블로킹 필터를 구성하였다. 주파수에 따른 신호감쇄 특성을 5 Hz~1 MHz의 주파수 범위에서 측정한 결과 약 490 kHz~450 kHz의 주파수 대역에서 -70dB의 신호감쇄 특성을 나타냈다. 본 연구를 통해 개발된 100A급 광대역 블로킹 필터가 적용되어 상용화 될 수 있을 것으로 판단되며, 또한 모뎀 통신 주파수 대역에서 -70dB 이상의 높은 감쇄 특성을 갖기 때문에 신호차단 특성이 보다 우수할 것으로 사료된다.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.46 no.5
• /
• pp.59-68
• /
• 2018

This study deals with post-occupancy evaluation (POE) of 'Kim Gwang-seok Street'as storytelling road for urban regeneration. The evaluation focused on image preference and use satisfaction of visitors. This is the initial project of popular singer-storytelling street as a new attraction, and the results could be used as basic data for the sustainable planning and management of storytelling streets. 200 respondents of visitor group were analyzed. Frequency analysis for demographics, use, behavior, reliability, and means, were evaluated. Factor analysis and multiple regression analysis were conducted for image preference and use satisfaction. Responses showed high frequency of twenties in age, who were typically students. In use motives and activities, strolling, sightseeing, and taking pictures were shown to be the most common. The mean scores of image variables showed symbolic (5.03), familiar (4.84), beautiful (4.71), and bright (4.63), the highest. The result of exploratory factor analysis, led to 3 factors being categorized; the mood of street, the design, and the dynamics. Due to the result of multiple regression analysis, the preference of space image was significantly influenced by 4 image variables; symbolic (${\beta}=.314$), stable (${\beta}=.248$), friendly (${\beta}=.204$), and fresh (${\beta}=.142$). In the use satisfaction analysis, the mean scores were highest concerning facility design (3.81), typical street (3.78), the image of street (3.81), continued use (3.66), and experiential tourism (3.53), respectively. The mean score of parking space (2.56) was the lowest. In factor analysis concerning use satisfaction, 3 factors were categorized; facility management, experience, and image. By the result of multiple regression analysis, the total satisfaction of use was significantly influenced by 4 independent variables; image of street (${\beta}=.296$), management (${\beta}=.277$), continued use (${\beta}=.205$), and typical street (${\beta}=.183$). As storytelling road for urban regeneration, 'Kim Gwang-seok Street' has shown considerable success in significant improvement of image preference and user satisfaction. Therefore, the enhancement of 'placeness' through storytelling of Kim Gwang-seok, and the strengthening of its identity and symbolism, should be the basic focus of development for the street in the future.

• Korean Chemical Engineering Research
• /
• v.46 no.2
• /
• pp.233-247
• /
• 2008

Process monitoring technology is able to detect the faults and the process changes which occur in a process unpredictably, which makes it possible to find the reasons of the faults and get rid of them, resulting in a stable process operation, high-quality product. Statistical process monitoring method based on data set has a main merit to be a tool which can easily supervise a process with the statistics and can be used in the analysis of process data if a high quality of data is given. Because a real process has the inherent characteristics of nonlinearity, non-Gaussianity, multiple operation modes, sensor faults and process changes, however, the conventional multivariate statistical process monitoring method results in inefficient results, the degradation of the supervision performances, or often unreliable monitoring results. Because the conventional methods are not easy to properly supervise the process due to their disadvantages, several advanced monitoring methods are developed recently. This review introduces the theories and application results of several remarkable monitoring methods, which are a nonlinear monitoring with kernel principle component analysis (KPCA), an adaptive model for process change, a mixture model for multiple operation modes and a sensor fault detection and reconstruction, in order to tackle the weak points of the conventional methods.

• Journal of Wetlands Research
• /
• v.20 no.4
• /
• pp.432-445
• /
• 2018

Vegetation and water characteristics of an eco-technological water purifying biotope were investigated at five years after the wetland construction. A total of 91 vascular plant species in 36 families were recorded. Initially planted emergent macrophytes such as Phragmites australis, P. japonicus, Zizania latifolia, Typha latifolia, and T. angustifolia mainly comprised the vegetational components of the wetland. The effect of water purification was observed markedly in most indicators such as electric conductivity (P < 0.01), $NO_3-N$ (P < 0.05), $NH_4-N$ (P < 0.001), $K^+$ (P < 0.05), $Na^+$ (P < 0.01), and $Mg^{2+}$ (P < 0.01). In particular, $NO_3-N$ and $NH_4-N$ concentrations decreased to about 60% and 30%, respectively, via the purification process of the wetland. Separativeness and curvature from the meandering structure of 15 units (multi-cell wetland system) seemed likely to make the wetland continuously play a role as an eco-technological water purifying biotope. We recommend that eco-technological design factors should be included in wetland constructions for efficient and continuous functioning, thus enhancing ecological values of wetlands.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.43 no.5 s.311
• /
• pp.80-88
• /
• 2006

In this paper we developed a novel system for automatic detection of mass type breast cancer on dense digital mammogram images. The new approaches presented in this paper are as follows: 1) we presented a method that stably decides the mass center and radius without being affected by image signal irregularity. 2) We developed a radial directional filter that is suitable to process mass image signal. 3) And we developed the multiple feature function based on mass shape spiculation, mass center homogeneity, and mass eccentricity, so as to determine mass-type breast cancer. When the proposed system is applied to dense mammographic images, the true 기arm rate is improved by 10% over a conventional system while the false alarm is increased by 1 per image.

• Korean Journal of Social Welfare
• /
• v.58 no.4
• /
• pp.313-339
• /
• 2006

The purpose of this study is to analysis empirically the socio-structural causes of working poor. This study used raw data of of Korea National Statistical Office from 1982 to 2004, and put in operation time series multiple regression analysis to use socio-economic factors of macro-economy environment, labor market, distribution system. Contrary to assertion of growth-concentrated people, economic growth rate has had significantly positive effect on the change of working poor size. In the growth period there has been trickle down effect of economic growth, but in the post-Fordism period there has not been valid circular relation. Recent introduction of the U. S. type capitalism resulted in negative phenomenon like aggravation of income distribution, deterioration of employment quality, enlargement of working poor. And there rise a question on socio-economic durability due to de-compensation on intra-institution. It is necessary to grope transition to the high road social market model - that is stable and sustainable - correspond to Korea that is stable and sustainable.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2009.10a
• /
• pp.75-80
• /
• 2009

Despite its flexibility to complex geometry, three-dimensional (3D) electromagnetic(EM) modeling schemes using finite element method (FEM) have been faced to practical limitation due to the resulting large system of equations to be solved. An efficient 3D FEM modeling scheme has been developed, which can adopt either direct or iterative solver depending on the problems. The direct solver PARDISO can reduce the computing time remarkably by incorporating parallel computing on multi-core processor systems, which is appropriate for single frequency multi-source configurations. When limited memory, the iterative solver BiCGSTAB(1) can provide fast and stable convergence. Efficient 3D simulations can be performed by choosing an optimum solver depending on the computing environment and the problems to be solved. This modeling includes various types of controlled-sources and can be exploited as an efficient engine for 3D inversion.

• Journal of Digital Convergence
• /
• v.8 no.1
• /
• pp.71-79
• /
• 2010

Impact of online social network to cyber community has increased much attention recently. The biggest challenge in fostering a social network is to the extent whether it helps to build human capital network or social community. We propose what critical factors influence the formation of online capital network. The study uses three independent factors as motivation, self disclosure, and interactivity and two dependent factors as knowledge sharing and strengthening relationships to create virtual capital connection. Data collected from 256 university students to test the proposed model. The results of the study shows that all hypothesis are supported except one with strengthening relationship. Implications and limitations of this research are discussed.