• International Commerce and Information Review
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• v.13 no.4
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• pp.229-249
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• 2011

The exchange rate change has been increased since the time when the floating exchange rate system was introduced in Korea. As a result, the increase of the exchange rate changes raised the risk in international trades in Korea. Also after Bretton Woods System broke down, the increasing exchange rate fluctuation raised the risk in international trade. The purpose of this dissertation is to study whether this incomplete pass-through exists in Korean export industry and furthermore to measure the markup rate of the export price using real data since Global Financial Crisis. The estimation results of the export price determination model by Error Correction Model shows that the export price of Korea has been greatly influenced by the export prices and exchange rates against U.S. Dollar of rival countries, domestic producer price as well as the Korean Won-U.S. Dollar exchange rate and also business coincidence index of U.S. in demand. Particularly, the pass-through rate of Korean Won-U.S. Dollar exchange rate to export price is estimated to be incomplete, which contrasts with the propositions of traditional exchange rate determination approach, e. g. elasticity approach, monetary approach, etc.

• Journal of Distribution Science
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• v.14 no.4
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• pp.103-110
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• 2016

Purpose - This study investigates the improvement of rationalization of distribution structure in Korean diamond market. It also explores the international distribution of diamond and how the distribution of Korean diamond market system was improved. This study also for providing the evaluation method in case of purchasing diamond on the consumers. Research Design, Data, and Methodology - The research investigates how international diamond distribution market has been changed since 1933 by De Beers. The international Diamond rough stone has been deregulated in supply and demand by Debeers since July, 2000, therefore, the price maintenance policy of diamond market also has been changed. In the short term, the diamond price in market has been down, whereas, in the long term, the market share of Debeers has affected the high quality of diamond price in world market. Before 1985, both G color and VVS1 clarity were used as the level of percentages in the diamond certificate of authenticity in Korea. But, after 1985, the diamond certificate of authenticity uses Diamond Grading Report. Results - Between the 1970's and 1980's, Debeers had controlled about 80 percentages of international diamond supply market. But, Debeers share in diamond market fell by 60 percentages in 2000's. Debeers supplied 31%(4390 carets) of international diamond supply and 41%(39 billion dollars) in 2003. However, Debeers shares 50% of market shares in the diamond supply market by Alosa in Russia. In Korea, the diamond grading report system has been used since 1985. But, the diamond grading report system has price bubbles and much irrational parts in grading system methods. Conclusions - 4C, the grading system of diamond, is a method for comparing and evaluating diamond objectively. Diamond is graded according to its color, cut, clarity, and carat. The price of diamond is determined based on its each item. Consumers purchase diamond for the purpose of investment and wearing. In terms of investment, it is recommended to purchase diamond with color of D grade, cut with Excellent or Very Good Cut grade, Clarity of FL or IF, and more than 3 carat. As for wearing purpose, it is highly recommended for diamond to have color of F or G grade, cut of Excellent or Very Good Cut, clarity of VS2 or SI1, and more than 1 carat Before 2000, Central Selling Organization(CSO) distributed about 80 percentages rough diamond to world market exclusively by purchase, classification, assessment, and sales. After 2000, Dbeers diamond company looses slowly market shares, while Almosa diamond company etc. in Russia are taking over world market shares more and more. Debeers market shares have been falling over the years, and the international diamond markets are gradually growing by other international diamond companies. But, there is no change in Korean diamond market after 1980's. Korean diamond distribution needs to follow international level of Diamond Grading System. By using different grading systems with different panel members, Korean diamond grading system needs to follow international perfect grading systems to grow diamond markets and maintain within top 10 diamond markets countries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4984-4990
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• 2010

In this paper, a Step-down CMOS DC-DC Converter using low power switched capacitor method is designed in a 0.5 ${\mu}m$ technology for the integration of devices. Conventional DC-DC converter is used inductor that can store energy in a magnetic field but have low efficiency because power consumption is caused by magnetic flux. And there were problems with size, weight and price to integrate chip. In this paper, a proposed Inductorless step-down CMOS DC-DC converter of low power using SC method is designed in a 0.5um technology to solve these problems. Designed DC-DC converter have 96% power efficiency with 200kHz frequency by using cadence simulation.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.9-16
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• 2021

In the past, there have been various studies on predicting the stock market by machine learning techniques using stock price data and financial big data. As stock index ETFs that can be traded through HTS and MTS are created, research on predicting stock indices has recently attracted attention. In this paper, machine learning models for KOSPI's up and down predictions are implemented separately. These models are optimized through a grid search of their control parameters. In addition, a hybrid machine learning model that combines individual models is proposed to improve the precision and increase the ETF trading return. The performance of the predictiion models is evaluated by the accuracy and the precision that determines the ETF trading return. The accuracy and precision of the hybrid up prediction model are 72.1 % and 63.8 %, and those of the down prediction model are 79.8% and 64.3%. The precision of the hybrid down prediction model is improved by at least 14.3 % and at most 20.5 %. The hybrid up and down prediction models show an ETF trading return of 10.49%, and 25.91%, respectively. Trading inverse×2 and leverage ETF can increase the return by 1.5 to 2 times. Further research on a down prediction machine learning model is expected to increase the rate of return.

• Journal of Korean Society of Forest Science
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• v.87 no.3
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• pp.391-403
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• 1998

The study was carried out to devise a proper measure to increase the income of mountain villagers by producing sap water of Acer mono, and to make the most of sap water as local specialty to contribute to the local economy of mountain villages. All the processes from collecting to marketing of sap water of Acer mono was investigated. The survey was done from mid-January to mid-February in the 3 major sap water collecting regions, Toji-myon Kurey-gun(Piagol area of Mt. Chiri), Okryong-myon Kwangyang city(Mt. Baekun), and Jookhack-ri Sunchon(Mt. Chokey). A total of 90 householders who collect sap water, to say again, 30 householders in each region, were interviewed personally to make up questionnaires. The habitual or general practices about collecting sap water, the selling price, the sales process, labor power to collect and carry down, carrying distance and facilities, sales income and side income, and family income were investigated and examined. Spots of collecting sap water were not concentrated but scattered all over the collecting area. Collecting method, collecting amount, sales process, and selling price varied with the village and region. Sap water was collected by tapping or boring method, the latter of which was widely used in lots of regions except in Sunchon. Although the amount of sap production per family varied with region, the average amount was about 1,350 liters. Of all the sap water collected, 44% was consumed by drinking of on-the-spot visitors and 36% was sold by order, etc. Sap water was sold at the price varying from 10,000 won to 60,000 won per 18 liters. The average selling price was 41,000 won, but selling prices of 43,000 won and 45,000 wan amounted to 38% and 25%, respectively.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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• pp.35-40
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• 2008

As the environmental pollution by the drastic increase of vehicles becomes one of the social major concerns, the method of reducing the harmful exhaust emission is being the subject of interest. Utilization of used frying oil as a raw material for biodiesel production is helpful not only for the stable supply of raw materials but also costing down the biodiesel price. This study was conducted the measurement the combustion and thermal characteristics with mixing ratio of biodiesel/diesel fuel. In this study, flash points and fire points were measured by using Tag Closed cup apparatus and Cleveland open cup apparatus. As the result, flash points, fire points and AIT increased with percentage of more contained biodiesel.

• Journal of Biosystems Engineering
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• v.24 no.2
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• pp.167-178
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• 1999

In the path of agricultural development, agricultural mechanization has played some decisive roles such as protecting natural disaster, substitution of labor shortage in agricultural production and so on. In making our country's agricultural mechanization plan, Japanese agricultural mechanization policy has been frequently referred to but it's very hard to find informative data for systematic analysis of the mechanization policy. In this paper it was tried to analyze the resent trend in Japanese agricultural mechanization policy and it's performance with many materials published in Japan. As the results, four things are recommended to be considered in making Korean agricultural mechanization policy. First, faster enlargement of agricultural machinery size in Korea might be very harmful to drop down agricultural production cost. Second, diverse utilization methods of agricultural machniery should be introduced. Third, a marketing of the used agricultural machinery must be activated to reduce agricultural production cost. Lastly, the joint R & D for developing low price agricultural machniery is necessary for small markets.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2863-2874
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• 1999

Apartment auction is a system that is used for the citizens to get a house. This paper deals with the implementation of a web-based intelligent decision support system using OLAP technique and data mining technique for auction decision support. The implemented decision support system is working on a real auction database and is mainly composed of OLAP Knowledge Extractor based on data warehouse and Auction Data Miner based on data mining methodology. OLAP Knowledge Extractor extracts required knowledge and visualizes it from auction database. The OLAP technique uses fact, dimension, and hierarchies to provide the result of data analysis by menas of roll-up, drill-down, slicing, dicing, and pivoting. Auction Data Miner predicts a successful bid price by means of applying classification to auction database. The Miner is based on the lazy model-based classification algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm to reflect the characteristics of auction database.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.9-18
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• 2008

The fundamental objects of the Korean Grand Canal (KGC) Project are the rehabilitation(or restoration) of river corridor ecology, improvement of river water quality, reduction of flood damages, countermeasure of the huge rise in energy price and the high discharge of $CO_2$ due to the vast use of energy for highway logistics. The other important objects, like an increase of water in the river channel, are to provide people with the pleasure of seeing the water and intimacy (touchiness) with it, an increase of flood controllability, effects of dilution of river pollutants, dredging out sedimentary pollutant from the river bottom, the function of infrastructure to pare down the logistics (distribution) costs, and the opportunity to expand tourism. These kinds of fundamental concepts must be evaluated as future values in Korea and elsewhere.