• Proceedings of the Korea Concrete Institute Conference
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• 2002.05a
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• pp.367-372
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• 2002

The waterproofing systems of concrete bridge deck are installed under the complex circumstances, such as traffic loading, weather, and the condition of the deck concrete. For assuring the effectiveness of waterproofing system, the materials and the construction method and timing ought to be suitably selected with the procedures of waterproofing and the system has to ensure the economical performances. First of all, we discussed whether the quality and performance criteria for highway bridge deck are resonable or not through the investigation of domestic and foreign criteria. The basic properties of waterproofing membranes on market and the performance of waterproofing systems of concrete bridge deck have also been investigated in the view of the damages frequently reported from job site. In this way, the causes and measures of damages, the guidelines of design, construction, quality control, and maintenance, the test methods and criteria of membranes and waterproofing system, are proposed.

• Proceedings of the IEEK Conference
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• 2000.11b
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• pp.132-135
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• 2000

We have been aware fer some time. that it is becoming harder to develop ASIC only, using the vendor wire model for the current top-down/bottom-up process. Because VDSM has a much bigger wired delay than cell delay, it is also difficult to reduce development time, as well as time-to-market, while developing several million gate ASIC's. The same is true for high frequency ASIC's with VDSM (which have larger wire delay versus cell delay). Therefore, a solution called “RTS-GDS”, using physical constraints fur SOC with timing met, is being actively discussed. This paper suggests a methodology for SOC development by utilizing a top down flow via CWLM along with discussing potential problems. This paper also provides a design flow, including physical synthesis, DFT, floor plan and CWLM, all of which are relevant to proper SOC development.

• Proceedings of the Korea Society for Simulation Conference
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• 2004.05a
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• pp.69-71
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• 2004

반도체 산업은 21세기 정보화 사회를 선도하는 핵심부품 산업으로 국가의 첨단 산업 발전을 촉진하는 주력산업이다 반도체 산업은 첨단 핵심 부품산업으로써, Timing산업, 고부가가치, 고성장, 고 위험, 기술 집약적 특징을 갖는다. 반도체 라인 건설에는 수 조원의 비용과 수년의 시간이 투입되어야 하므로, 생산 및 설비투자 계획의 옳고 그름에 따라 회사의 생사가 결정될 수 있다. 생산 및 설비투자계획을 세우기 위해선 여러 가지 변수를 적용시켜야 한다. 이에 본 과제에서는 과거의 판매자료를 바탕으로 마련된 패턴을 이용하여 라인의 생산계획 및 설비투자 계획을 수립하고자 한다.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.2
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• pp.145-162
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• 1992

This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.9
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• pp.535-541
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• 2003

Demand Side Management (DSM) activities have been designed to encourage customers to modify their patterns of electricity consumption including the timing and level of electricity demand. The role of DSM has been more and more important in the point of social energy utilization on the limited resources. The objectives of DSM are generally related to load reductions and generation cost savings. This paper presents an approach to B/C analysis to evaluate the impact of DSM programs especially on the strategic conservation and the load management programs. The proposed approach embedding the existing B/C analyses is applicable to the new electricity market. Case studies show the B/C ratio and the avoided cost due to the impact of DSM programs.

• Journal of Intelligence and Information Systems
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• v.3 no.2
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• pp.57-70
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• 1997

주식 시장을 예측하는 문제는 금융 분야에서 중요한 관심이 되어왔다. 주식 시세는 시장 환경의 변화에 따라 급격한 변화를 갖는다. 따라서 주식 투자로부터 이윤을 창출하기 위해서 주식을 사고 파는 시점을 결정하는 문제는 중요하다. 본 연구에서는 주시 매매 타이밍을 예측하기 위해서 캔들스틱 차트(Candlesticks chart)분석을 이용한 전문가 시스템(Expert System)으로서 '차트 해석기 (Chart Interpreter)'를 설계, 개발하였다. 주식 가격의 변동을 예고하는 패턴들을 정의하고 그 패턴들의 의미에 따라 매미결정을 첨가한 규칙을 생성하였다. 정의된 패턴들은 의미에 따라 크게 하락형, 상승형, 중립형, 추세지속형, 추세 전환형으로 분류된다. 정의된 패턴과 지식베이스의 유용성을 검증하기 위해서 수행된 1992년부터 1997년에 걸친 과거 한국 주식 시장 실거래 투자 데이터에 대한 실험결과는 평균 투자 성공률이 약 72%로서 주식시장에서 투자자들의 투자를 돕는데 우수한 지표로서 사용될 수 있음을 보였다. 또한, 개발된 지식베이스는 특정 연도나 특정 분야에 따라 예측력이 크게 변하지 않은 시간 독립적이고 분야 독립적인 특성을 가짐으로 분야나 시간에 구애받지 않고 사용할 수 있다는 장점을 갖는다.

• Korean Journal of Poultry Science
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• v.7 no.1
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• pp.13-22
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• 1980

On the Chicago Meracntile Exchange, individuals and firms buy and sell contracts for specified amounts of products that are to be delivered at a time period in the future at a price arrived at through openly competitive bidding. The transfer of ownership of these delivery promises takes place in a particular trading pit, for each commodity, on the floor of the Exchange. Trades are officially made by qualified members of the Exchange who act as brokers for their customers. For his services, the broker is paid a nominal round- turn commission fee by the customer. Although each commodity contract carefully describes the particular standards that product must meet in order to be a acceptable for delivery, actually fewer than three percent of the contracts traded are consummated by delivery. For the most part, contract obligations ions art offset, and thereby liquids. before the termination of the delivery month. The trader liquidates his position in the market after analyzing price trends, his timing, and his calculated price objectives. (omitted)

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.1-23
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• 2014

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.

• The Plant Pathology Journal
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• v.25 no.3
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• pp.213-219
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• 2009

An understanding of anthracnose (Colletotrichum acutatum) infections, including the infection of flowers and latent infection early in the season, is necessary to achieve successful control by means of properly timed spraying with a curative fungicide. In the present study, latent anthracnose infection of chili was investigated under greenhouse and field conditions in 2007-2008. Flowers on greenhouse-grown seedlings were infected and 11% of the young fruits subsequently showed symptoms of anthracnose. Apparently healthy-looking green peppers obtained from unsprayed fields or an organic market also exhibited symptoms of anthracnose after 4 days of incubation under high moisture conditions at $25^{\circ}C$; less than 1% of the peppers were found to be latently infected. To determine the natural timing of infection in the field, 3,200 fruits were wrapped in paper bags and then selectively unwrapped and examined for signs of infection. Field experiments were conducted at Suwon (cvs. Yokkang, Manitta, Olympic) and Asan (cv. Chunhasangsa) in 2008. The 7- to 10-day wrapping periods were July 25-31, July 31-August 7, August 7-15, August 15-24, and August 24-September 3. The 1-to 2-month wrapping periods were from July 4, July 31, and August 15 until harvest (Sept. 3). The controls consisted of 1,712 field-grown non-wrapped fruits. The rates of infection on the various cultivars were Yokkang 55%, Manitta 37%, Olympic 55%, and Chunhasangsa 20%. A distinct period in which anthracnose infection suddenly increased could not be identified; however, attempts to guess the approximate timing of field infection showed that 0-39% of the plants had latent infections, while depending on the cultivar, 8-14% of the plants examined in August and 4-13.5% of the those examined during May-July showed symptoms of infection. Delaying fungicide spraying by 24 and 48 h after artificial infection decreased the rates of infection by 10% and 25-30%, respectively. Chemical control of anthracnose based on a forecasting model should be considered starting from the transplanting stage, with spraying within a day after warning and care being taken not to latently infect apparently healthy pepper fruits.

• Environmental and Resource Economics Review
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• v.17 no.2
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• pp.213-233
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• 2008

In this paper, we estimate the effects of the two most important means of summer time demand side management in Korean power market: adjustment of vacation or repair timing and the voluntary saving program. We use regression analyses to estimate how effective these two programs are in reducing the peak time demand during the summer. Our results show that adjustment of vacation or repair timing actually reduces the daily peak demand by 0.53 kWh per one kWh reported reduction calculated from the agreements between Kepco and the users. The voluntary saving program reduces the daily peak by 0.57 kWh per one kWh reported reduction calculated from the agreements between Kepco and the users. However, when we include these two effects in the same regression model, their respective estimated effects become much weaker.