• The Journal of Fisheries Business Administration
• /
• v.43 no.3
• /
• pp.75-87
• /
• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.16 no.6
• /
• pp.16-21
• /
• 1979

Two dimensional kernels which reconstruct a tomographic image from a blurred one formed by simple back-projection are investigated in the frequency domain and their performances are compared. The kernels are derived from a point spread function of the tomographic system and have the form of a ramp filter modified by several window functions to suppress ringings or artifacts in the reconstruction. Computer simulation using computer-generated phantom image data with different filter functions has been carried out. In this simulation, it is found that the computation time for 2-D reconstruction is much less than that of 1-D convolution method by a factor of ten or more whereas the reconstructed image quality of the former is far poorer than the latter. In 2-D reconstruction heavy windowing results in less noisy reconstruction but details smear out in this case. The trade-offs between these points are considered.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.4
• /
• pp.163-168
• /
• 2010

In this paper, we propose novel two-way relaying scheme in which number of two users transmit the signal to number of two destination. The scheme is difference with conventional multi-hop two-way relay scheme in which number of two users exchange the each signal. In the conventional scheme, each user have to perform back-propagating self-interference method to remove the own signal from received signal. It occurred to increase the complexity for signal processing at the user. To overcome the problem, we apply the Pre-cancellation which can reduce the process of back-propagating self-interference to our proposal network Simulation result show that proposal scheme outperform the convention multi-hop two-way relay scheme. Also we analysis the trad-off between performance and complexity accordance with using Pre-cancellation method.

• Journal of Advanced Marine Engineering and Technology
• /
• v.34 no.4
• /
• pp.560-566
• /
• 2010

Port of Samcheonpo, designated as a Trading Port, is constructing New Port for the increase in trade and the requirement of maritime safety is growing. To meet these requirement for maritime safety, hydrographic surveying around south sea area of Samcheonpo using Multibeam Echo Sounder(MBES), DGPS etc was conducted. In this study, major item of hydrographic surveying such as sounding data was acquired and analyzed depth data comparing with vertical uncertainty in the special publication for hydrographic minimum specification published in Feb, 2008 by International Hydrographic Organization. By analyzing the depth data with 3 steps procedure, the port and starboard beam by removing the outskirts of the data processing could improve the efficiency and accuracy. The error of south sea were about 0.2m and the upper central part of the error were within 0.2m. Depth data of the study area are included in the 99% of 1st order and satisfied with a 100% tolerance of special order based on the international hydrograhic survey standard. This study will be a good case to support efficient decision-making for safe navigation, coastal management.

• Journal of the Korea Society for Simulation
• /
• v.23 no.4
• /
• pp.1-8
• /
• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Journal of Veterinary Clinics
• /
• v.31 no.1
• /
• pp.40-45
• /
• 2014

Abalone herpes-like virus (AbHV) is a fatal disease of abalones that impose severe economic impacts on the industry of infected regions due to high mortality. The aim of this study was to quantify the risk of introducing AbHV into Korea through the importation of live abalones for human consumption by import risk analysis (IRA). Monte Carlo simulation models were developed to provide estimates of the probability that a ton of imported abalone contains at least one AbHV-infected individual, using historical trade data and relevant literatures. A sensitivity analysis with 5,000 iterations was also conducted to determine the extent to which input parameters affect the outcome of the model. Although many uncertainties were present in the data, the results indicated that, if 5,000 tons of abalone were imported from a hypothetical exporting country with low prevalence of AbHV (model 1), there would be at least one AbHV-infected abalones in 4,816 of those tons (96.3%), while there would be at least one AbHV-infected abalones in 100% of those tons imported from country with high prevalence (model 2). Sensitivity analysis indicated that for model 1, prevalence was the strongest influence factor on the predicted number of infections. For model 2, background mortality and washing to reduce the risk of surface contamination during processing were the major contributing factors. Risk management strategies need to be enforced to reduce the risk of AbHV introduction in that at least one infected abalone would remain in a consignment from country even with a low prevalence of AbHV infection. The methodology and the results presented here will contribute to improve the development of AbHV management program, and with more accurate data this IRA model will aid science-based decision-making on mitigation strategies to reduce the risk of AbHV introduction in Korea.

• Korean Journal of Soil Science and Fertilizer
• /
• v.36 no.6
• /
• pp.423-428
• /
• 2003

Multifunctionality of agriculture which cannot be in trade has internationally an important issue due to its environmental and public benefits. The purpose of this study was to estimate economic value of upland farming in cooling effect during hot summer. Economic value of cooling effect was evaluated by the replacement cost method. To evaluate the cooling effect from July through August, the amount of evapotranspiration in upland was estimated using crop coefficients and soil water coefficients perviously reported by several researchers. In July and August, average crop coefficient of fourteen major upland crops was 1.19 and average soil water coefficient of major textures of upland soil was 0.91. The estimated evapotranspiration in upland from July through August was $1,224{\times}10^6Mg$, and this amount of evapotranspiration can consume $7.1{\times}10^{14}kcal$ of heat. When these values were converted to the price of petroleum, the economic value of cooling effect by upland farming from July through August was about 12 trillion won.

• International Journal of Advanced Culture Technology
• /
• v.6 no.3
• /
• pp.88-97
• /
• 2018

As the trade among the countries increases, domestic agriculture is facing a crisis. Especially domestic rice industry is suffering from the rice market opening problem and the domestic rice industry itself. As a counter measure against this, despite the promotion of the rice processing food industry, the export of rice processed food has decreased by an average annual rate of 12.3% since 2011 due to the lack of customized export strategy, such as low price competitiveness, insufficient quality and brand management. As a measure, we selected indicators to prioritize establishment of export strategy of rice processed food business and used AHP methodology to draw the weight for each indicators. The selection of export strategy prioritization indicator was based on the marketing mix theory, various previous research reviews and expert consulting. Five higher level indicators and nineteen detailed indicators were derived, and a weighted value of them was analyzed using a professional package. As a result, the relative importance of higher level indicators was 45.5% for product differentiation, 18.4% for management competence, 13.0% for export infrastructure, 12.0% for product pricing, and 11.1% for product distribution. The relative importance of the lower level indicators was 17.3% for product safety, 15.3% for product quality, 9.1% for management expertise, and 7.0% for product brand. This result is expected to be used as export strategy indicators of rice processed food export business.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.75
• /
• pp.179-198
• /
• 2017

Recently, agricultural exports of Korea have steadily increased. But, no progress is being made at the WTO and DDA negotiations, the FTAs have played a leading role in the formulation of the international trade rules, and countries have been cleverly utilizing non-tariff barriers such as SPS and TBT, there is a growing need to respond to non-tariff barriers aggressively. On the other hand, since the FTA has the potential to activate the global value chain, there is a high need for exporting companies in the domestic agricultural sector to understand the structure of the global value chain in agriculture and actively utilize the global value chain. The non-tariff measures of agricultural commodities major trading partners in the field of domestic agricultural exports were mostly comprised of SPS measures and TBT measures. The non-tariff measures corresponding to inputs and production stages of value chain elements (seeds, seedlings) in the value chain were mainly reported in SPS measures. TBT measures are mainly carried out in selective packaging, storage, processing, distribution, and export sales. It is most important for agricultural export companies to know their position on the value chain and information on non-tariff measures of importing countries in order to actively utilize the global value chain. Since there are non-tariff barriers that are difficult to be solved at the individual enterprise level, active government support of the government is not only important but also actively promoting relevant information to farmers and agricultural exporters. In addition, potential export farmers and prospective export companies will be able to identify TBT and SPS and other non-tariff barriers well in advance, and respond to them in advance. Also, through networking with export related organizations and overseas buyers, It is very important that policy support from the perspective of global value chain is linked effectively.

• The KIPS Transactions:PartD
• /
• v.17D no.5
• /
• pp.327-336
• /
• 2010

This paper proposed software equation that is relation with effort and duration based on function point (FP) software size. Existent software equation based on lines of code (LOC). LOC sees big difference according to development language and there are a lot of difficulties in software size estimation. First, considered method that change LOC to FP. But, this method is not decided definitely conversion ratio between LOC and FP by development language. Also, failed though the conversion ratio motives software formula because was not presented about specification development language. Therefore, we derived software formula directly to large project data that was developed by FP. Firstly, datas that reasonable development period is set among development projects. Secondly, FP through regression analysis about this data and effort, motived relation with FP and duration. Finally, software equation was derived from these relation. Proposed model solves application problems that LOC-based model has and has advantage that application is possible easily in business.