• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.1
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• pp.101-106
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• 2012

Ship handling simulator is a virtual ship navigating system with three dimensional screen system and simulation programs. FTS simulation can produce theoretically infinite experiment tests without time constraint, but which results in collecting determinstic observations. RTS simulation can collect statistical observations but has disadvantage of spending at least 30 minutes for a single experiment. The previous studies suggested that the number of experiment conditions to be tested could be reduced to obtain random data with RTS simulation by focusing on highly difficult experiment condition for ship handling. It has the limitation of not estimating the distribution of ship handling difficulty for the route. In this paper, similarity and clustering analysis are suggested for reduction methodology of experiment conditions. Similarity of experiment conditions are measured as follows: euclidean distance of ship handling difficulty index and correlation matrix of distance differences from the designed route. Clustering analysis and multi-dimensional scaling are applied to classify experiment conditions with measured similarity into reducing the number of RTS simulation conditions. An empirical result on Dangin harbor is shown and discussed.

• Journal of Technology Innovation
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• v.4 no.1
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• pp.1-26
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• 1996

Traditional studies of new venture performance have focused on the characteristics of entrepreneurs and have shown conflicting results on the relationship between the characteristics and performance of new ventures. Recently, some researchers have broadened their search to include aspects of the industry and the strategy of new ventures. The purposes of this study are to identify wtrategic archetypes of new ventures based on the taxonomic approach and to explain the differences in new venture characteristics and performance among strategic archetypes. To find the strategic archetypes, 114 new venture CEOs from various industries were asked to describe their ventures' competitive strategy through 19 questionnaire items on competitive methods. Using factor analysis and subsequent cluster analysis, four archetypes were identified such as : versatile type, technology-driven type, market-oriented type, and cost reduction type. The results imply that there exist different types of venture strategy even among new technology-based venture firms in Korea, and show the differences in performance among strategic archetypes: market-oriented type and versatile type are better than cost reduction type in terms of growth rate and profitability. Because the venture strategy in identified as a major determinant of the venture performance in this study, the choice of venture strategy suitable for firm's industrial characteristics and internal resource bases becomes a very strategic decision for firm's sustained growth. Further studies are needed to strengthen some methodological limitations of the study.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.343-349
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• 2013

Rough set theory comes to derive optimal rules through the effective selection of features from the redundancy of lots of information in data mining using the concept of equivalence relation and approximation space in rough set. The reduction of attributes is one of the most important parts in its applications of rough set. This paper purports to define a information-theoretic measure for determining the most important attribute within the association of attributes using rough entropy. The proposed method generates the effective reduct set and formulates the core of the attribute set through the elimination of the redundant attributes. Subsequently, the control rules are generated with a subset of feature which retain the accuracy of the original features through the reduction.

• Applied Biological Chemistry
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• v.48 no.3
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• pp.189-200
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• 2005

Biological nitrogen fixation is an important process for academic and industrial aspects. This review will briefly compare industrial and biological nitrogen fixation and cover the characteristics of biological nitrogen fixation studied in Azotobacter vinelandii. Various organisms can carry out biological nitrogen fixation and recently the researches on the reaction mechanism were concentrated on the free-living microorganism, A. vinelandii. Nitrogen fixation, which transforms atmospheric $N_2$ into ammonia, is chemically a reduction reaction requiring electron donation. Nitrogenase, the biological nitrgen fixer, accepts electrons from biological electron donors, and transfers them to the active site, FeMo-cofactor, through $Fe_4S_4$ cluster in Fe protein and P-cluster in MoFe protein. The electron transport and the proton transport are very important processes in the nitrogenase catalysis to understand its reaction mechanism, and the interactions between FeMo-cofactor and nitrogen molecule are at the center of biological nitrogen fixation mechanism. Spectroscopic studies including protein X-ray crystallography, EPR and $M{\ddot{o}}ssbauer$, biochemical approaches including substrate and inhibitor interactions as well as site-directed mutation study, and chemical approach to synthesize the FeMo-cofactor model compounds were used for biological nitrogen fixation study. Recent research results from these area were presented, and finally, a new nitrogenase reaction mechanism will be proposed based on the various research results.

• Journal of the Korean earth science society
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• v.28 no.1
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• pp.87-104
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• 2007

As part of the SPVS (Short-Period Variability Survey) which is a wide-field $(90'{\times}60')$ photometric monitering program at Bohyunsan Optical Astronomy (BOAO), we performed V band time-series CCD photometric observations ofthe young open cluster NGC 129 for 11 nights between October 12, 2004 and November 3, 2005 using the 155mm refractor equipped with $3K{\times}2K$ CCD camera. From the observation we obtained 2400 V band CCD frames and color-magnitude diagram of the cluster. To transform instrumental magnitude to standard magnitude, we applied ensemble normalization technique to all observed time-series data. After the photometric reduction process, we examined variations of 9537 stars. As a result, sixty six of the new variable stars were discovered. To determine the periods of the sevariables, we used DFT(Discrete Fourier Transform) and phase-matching technique. According to light curve shape, period, amplitude and the position on a C-M diagram, we classified these variables as 9 SPB type, 9 ${\delta}$ Scuti type, 29 eclipsing, 17 long term variables. However, two of them were not classified. From this study, we learned that small telescopes could be a very useful tool to observe variable stars in the open cluster in survey program.

• The Journal of Natural Sciences
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• v.14 no.2
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• pp.103-114
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• 2004

This study aims at investigating the effect of soil moisture control and truss limited high density culture on the growth, fruit yield and quality of tomato. To minimize of loss yield of tomato, flower cluster in number was limited to two and three truss and planting density was raised. Soil moisture control was started from 40 days after anthesis and irrigation point was set in -30kPa and -50kPa, which were compared with -10kPa For high density culture, the planting number of truss limited high density culture was planted twice as many as control. Soil moisture repression reduced the growth of stem diameter, leaf and plant height. Leaf chlorophyll content was higher in -50kPa and -30kPa than control. No significant differences, however, shows in -10kPa. The occurrence rate of bloom-end rot and cracking was increased by growing of irrigation repression. Pinching three fruit truss was higher than pinching two fruit truss in the occurrence rate of them. Soil moisture repression resulted in the reduction of fruit weight and in special, truss limited high density was distinctly decreased in -50kPa. The number of fruit was not affected by soil moisture control, but 3rd flower cluster was lower than 2nd flower cluster in the number of fruits and 2nd one was lower than 1st one. Under irrigation repression, rate of dry matter tended to grow in -30kPa, -50kPa compared with control and pinching three fruit truss was higher than two truss. Marketable yield dropped to 36.7%m 46.3 in -30kPa, -50kPa on pinching two fruit truss and dropped to 27.3%, 32.3% in 3rd flower cluster compared with control.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.1
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• pp.45-63
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• 2004

The main purpose of this article is to suggest policy implications for building innovative cluster in Korea by investigating the operating system and role of the Kanagawa Science Park (KSP) located in Kanagawa prefecture, Japan as a central network agent. The KSP established mainly by private and government partnership has played a critical role for building innovative clusters as a way in which increase national competitiveness. But they also provide variety of real service from R&D to commercialization for local firms by facilitating and coordinating networks among regional economic actors such as firms, universities and public research institutes. The regional policy as a way in which increase national competitiveness in Korea is also the establishment of innovative clusters based on regional and industrial characteristics. However, the main problem with building the innovative cluster is the reduction of policy effectiveness due to duplicated supporting and coordinating institutes and institutions established by the each central administration and local governments, aimed at facilitating networks among regional economic actors. In this context, the article suggests that there is a need to build a regional central network agent by designing an organic operating system for the effective management of each network agent in accordance with the process from R&D to commercialization, i.e. an encompassed supporting system, on the basis of benchmarking the KSP operating system in Japan.

• Journal of Microbiology and Biotechnology
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• v.25 no.6
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• pp.918-929
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• 2015

Microbial enhanced oil recovery (MEOR) is being used more widely, and the biological contributions involved in MEOR need to be identified and quantified for the improvement of field applications. Owing to the excellent interfacial activity and the wide distribution of producing strains in oil reservoirs, lipopeptides have proved to be an essential part of the complex mechanisms in MEOR. In this study, crude lipopeptides were produced by a strain isolated from an indigenous community in an oil reservoir. It was found that crude lipopeptides can effectively reduce the IFT (interfacial tension) to 10^-1~10^-2 mN/m under high salinity without forming stable emulsions, and the wettability of natural sandstone can be enhanced (Amott index, from 0.36 to 0.48). The results of core flooding experiments indicate that an additional 5.2% of original oil in place can be recovered with a 9.5% reduction of injection pressure. After the shut-in period, the wettability of the core, the reduction of injection pressure, and the oil recovery can be improved to 0.63, 16.2% and 9.6%, respectively. In the microscopic flooding experiments, the crude oil in membrane, cluster, and throat states contribute nearly 90% in total of the additional oil recovery, and the recovery of membranestate oil was significantly enhanced by 93.3% after shut in. Based on the results in macro and pore scale, the IFT reduction and the wettability alteration are considered primary contributors to oil recovery, while the latter was more dominant after one shut-in period.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2157-2164
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• 2010

Microgrid is generally defined as cluster of small distributed generators, energy storages and loads. Through monitoring and coordinated control, microgrid can provide various benefits such as reduction of energy cost, peak shaving and power quality improvement. In design stage of microgrid, system dynamic simulation is necessary for optimizing of sizing and siting of DER(distributed energy resources). As number of the system components increases, simulation time will be longer. This problem can restrict optimal design. So we used simplified modeling on energy sources and average switching model on power converters to reduce simulation time. The effectiveness of this method is verified by applying to prototype microgrid system, which is consist of photovoltaic, wind power, diesel engine generators, battery energy storage system and loads installed in laboratory. Simulation by Matlab/Simulink and measurements on prototype microgrid show that the proposed method can reduce simulation time not sacrificing dynamic characteristics.

• Journal of Korean Society of Rural Planning
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• v.17 no.3
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• pp.43-53
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• 2011

Today, seaside village has been met with much difficulty from aggravation of fishing conditions including decrease of fishery resources, marine products market opening, reduction of coastal fishing ground. Thus, seaside village tourism can become an useful alternative to revitalize the local community. This study deals with on the tourism activities based on motive of tourist to Seaside Villages in Jeju Island. And it will be find out though the cross analysis of tourism motivation factors and tourism activities factors. With 298 effective responses gathered from an on-site survey. The statistical analysis of the data was conducted using techniques of frequency analysis, factor analysis, cluster analysis, and canonical analysis. The tourism motivation and activities were conformed by Chi-Square Analysis and ANOVA analysis. For the growth of seaside village, many tourist must visit four seasons and tourism facilities and programs will be develop as seaside village experience activities, marine leisure activities, and circumference inquiry activities.