• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.86-93
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• 2018

This present study was conducted to develop the domestic cultivation kit using water celery(Oenanthe Stolonifera DC.) seed. As the result of germination rates in 3 type inbred lines, the IT 232354 had the highest initial germination rate and final germination rate, and was selected as the inbred line to be used in the cultivation kit. The development of the domestic cultivation kit was carried out using the IT 232354 seeds. It was possible to cultivate up to 3 times harvest using the same root in this cultivation kit, though the growth decreased rapidly in the $4^{th}$ cultivation. As a result of investigating the effects of the type of nutrient solution on growth of water celery, the overall growth was the lowest in the nutrient solution for Oenanthe Stolonifera DC.(N.S.D.). The shoot growth was similar to that of nutrient solution for leaves and stem vegetables (N.S.L.S.) and amino acid fermentation by-product liquid (A.F.B.L.), however in the root growth, the N.S.L.S. was more effective than A.F.B.L. When it was harvested 4 times consecutively after 1 time of planting, the last survival ratio of A.F.B.L. was 100% while their ratios were 96.4% and 49.8% each for N.S.L.S. and N.S.D. For the growth by cultivation kit type, the hole type cultivation kit increased slightly compared to the 3 hole type cultivation kit in the $1^{st}$ and $2^{nd}$ harvest, but there was no difference in the $3^{rd}$ and $4^{th}$ harvest. Total yield of one cultivation kits showed the 3 hole type cultivation kit is much higher than the 2 hole type cultivation kit. According to the results of this experiment, it is possible to harvest three times by planting one times if it was cultivated using N.S.L.S. and A.F.B.L. in the 3 hole type cultivation kit.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.233-243
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• 2021

Photovoltaic panels are hazardous electronic waste that has heavy metal as one of the hazardous components. Each year, hazardous electronic waste is increasing worldwide and every heavy rainfall exposes the photovoltaic panel to become the source of heavy metal soil contamination. the development needs a monitoring technology for this hazardous exposure. this research use relationships between SAR temporal baseline and coherence of Sentinel-1 satellite to detected photovoltaic panel. Also, the photovoltaic plant detection tested using the difference between that photovoltaic panel and the other difference surface of coherence. The author tested the photovoltaic panel and its environment to calculate differences in coherence relationships. As a result of the experiment, the coherence of the photovoltaic panel, which is assumed to be a permanent scatterer, shows a bias that is biased toward a median value of 0.53 with a distribution of 0.50 to 0.65. Therefore, further research is needed to improve errors that may occur during processing. Additionally, the author found that the change detection using a temporal baseline is possible as the rate of reduction of coherence of photovoltaic panels differs from those of artificial objects such as buildings. This result could be an efficient way to continuously monitor regardless of weather conditions, which was a limitation of the existing optical satellite image-based photovoltaic panel detection research and to understand the spatial distribution in situations such as photovoltaic panel loss.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1318-1324
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• 2010

Recently, U-Healthcare is receiving attentions as a research for reducing the manpower, time in treatment, and etc. Although fundamental technologies, such as sensing, measuring, and etc. are sufficiently investigated. However, Technologies of IT/Medical convergence, which graft IT technologies to medical area, are still in germ. For this, we present a novel healthcare system, which can be applied to the middle sized medical environment, such as private hospital, home, or etc., by means of pre-verified technologies and the expert system. There exist IT element technologies are sufficiently developed in the fields, such as network, database or etc. due to the remarkable developments in IT technologies, and the healthcare is a mission-critical environment. Therefore, it is important not only to investigate novel approaches but also to utilize verified technologies for the U-Healthcare solution. Presented solution provisions automated medical services based on expert system by utilizing the measured data, such as body fat, blood pressure, blood glucose, and etc., in order to provide convenient treatment environment to doctors and nurses. In addition, since people, who do not have medical knowledge, can self-diagnose themselves, it is expected to cut medical costs in various areas. Especially, since each devices communicate with each other through standardized Bluetooth technology, Presented healthcare system is an extensible solution which can easily accept various medical devices. As a result of this, we can safely say that the self measurement and diagnosis services in U-Healthcare are now enhanced by reducing medical cost through our healthcare system.

• Korean Journal of Remote Sensing
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• v.22 no.2
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• pp.111-121
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• 2006

The classification using spectral angle is a new approach based on the fact that the spectra of the same type of surface objects in RS data are approximately linearly scaled variations of one another due to atmospheric and topographic effects. There are many researches on the unsupervised classification using spectral angle recently. Nevertheless, there are only a few which consider the characteristics of Hyperspectral data. On this study, we propose the ISOMUSAC(Iterative Self-Organizing Modified Unsupervised Spectral Angle Classification) which can supplement the defects of previous unsupervised spectral angle classification. ISOMUSAC uses the Angle Division for the selection of seed points and calculates the center of clusters using spectral angle. In addition, ISOMUSAC perform the iterative merging and splitting clusters. As a result, the proposed algorithm can reduce the time of processing and generate better classification result than previous unsupervised classification algorithms by visual and quantitative analysis. For the comparison with previous unsupervised spectral angle classification by quantitative analysis, we propose Validity Index using spectral angle.

• International Area Studies Review
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• v.13 no.3
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• pp.501-525
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• 2009

Recent increase of academic interest in Born Globals has brought abundant researches, which accounts their causes and states, both in and out of the country. However, postulating that types of companies see the different perception of environment of global markets, and this difference will also bring different effects on enterprise capabilities and performance, this study implemented theoretical inquiry and evidential analysis. Technologically innovative SMEs, main subjects of this study, were categorized into Rapid Globals and Gradual Globals according to their internationalization speed, then followed by a CSA. This analysis has shown, regardless of corporate types, early perception of changes in global market environments, affects, in great amount, on marketing and R&D capabilities as well as performance. However, corporate types also showed difference in early perception of changes, marketing and R&D capabilities as well as performance. This evidential analysis provides enterprises pursuing internationalization in early stage with enforcement in their early perception of changes in global market environments.

• Environmental and Resource Economics Review
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• v.23 no.4
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• pp.689-718
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• 2014

This study analyzes the ripple effects on the national economy of the flood damage using a perfect foresight dynamic CGE model for 2010 as the base year in case that the flood damage reduces the capital of the relevant industrial sectors. The analysis is limited to the items of physical damage such as agricultural land, ships and public facilities, for which statistical data can be obtained. As flood damage scenarios we adopt the minimum, maximum and average value of flood damage's historical data over the period 1991~2010 for each item. The results show that the largest production decline happens to the industry of fishing and transport and the next largest to the agricultural and forestry industry. The GDP reduction in the base year turns out to be from 0.001 to 0.057 percent compared to the benchmark and 11 percent compared to the exogenous shock to capital stock. Dynamically, the GDP gradually decreases until the year of 2030, which shows the long-lasting impact on the national economy of flood damage via the chanel of the capital damage.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.4
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• pp.129-135
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• 2016

In this paper, we propose a novel tracking algorithm called slide window tracker (SWT) suitable for maneuvering target. To efficiently estimate trajectory of moving target, we adopt a sliding piecewise linear window which includes past trace information. By adjusting the window parameters, the proposed algorithm is to reduce measurement noise and to track fast maneuvering target with little computational increment as compared to ${\alpha}-{\beta}$ tracker. Throughout the computer simulations, we verify outstanding tracking performance of the SWT algorithm in noisy linear and nonlinear trajectories. Also, we show that the SWT algorithm is not sensitive to initial model parameter selection, which gives large degree of freedom in applying the SWT algorithm to unknown time-varying measurement environments.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.5
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• pp.391-403
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• 2013

Propeller aircraft propelled by an electric propulsion system is gaining a renewed interest because of ever-increasing environmental concern on harmful emissions emitted from conventional jet engines and national energy security. Traditional aircraft sizing methods are not readily applicable to electric propulsion aircraft that utilize a variety of alternative energy sources and power generation systems. This study showcases an electric propulsion aircraft sizing exercise based on a generalized, power based sizing method. A general aviation aircraft is propelled by an electric propulsion system that comprises of a propeller, a high temperature super conducting motor, a Proton Exchange Membrance(PEM) fuel cell system fuelled with hydrogen, and power conditioning equipment. In order to assess the impact of technology progression, aircraft sizing was conducted for two different sets of technology assumptions for electric components, and the results were compared with conventional baseline aircraft.

• Environmental and Resource Economics Review
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• v.12 no.3
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• pp.427-452
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• 2003

Demand analyses often assume perfect substitution and some level of aggregation before analysis and data collection. Earlier works on this subject are carried out in the context of ordinary demand systems. However, perfect substitution is a degenerate special case in the systems and it is much more easily handled in a system of marginal value functions and no previous analysis has used the marginal value functions to test for perfect substitution and make possible aggregation with prior restrictions. In this article, we present the empirical results on a system of marginal value functions in fisheries and pose testable results of perfect substitution and aggregation. The contribution of this article is new establishment of a set of restrictions implying perfect substitutability among all commodities and the application to the problem of commodity aggregate. A system of marginal value functions is estimated in fisheries and its implication of perfect substitution is reasonably drawn.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.258-265
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• 2017

At the early stage of the development of high speed propulsion systems, the designers suffer from the lack of both the quantity and the quality of test data. In that situation, the associated uncertainties could not be modeled as probabilistic distribution since probabilistic modelling requires large amount of data. In this paper, instead, the information provided by experts based on their experience and engineering knowledge was used to model uncertainty using the evidence theory. In designing the DCR(Dual Combustion Ramjet) engine, the combustion efficiencies, not well understood and little data existing, are assumed to have been provided by experts. And the uncertainties are quantified by Evidence theory. The quantified uncertainties are incorporated into the optimization. The design variables, area of inlet and area of combustor exit, have been found while satisfying reliability margins of thrust and thermal choking. The results show a reasonable design of the engine under the uncertain circumstances.