• Title/Summary/Keyword: Conventional Market

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Fuzzy Hedonic Analysis of Airport Noise (공항 소음에 대한 퍼지 헤도닉 분석)

  • Lee, Sung Tae;Lee, Kwangsuck
    • Environmental and Resource Economics Review
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    • v.17 no.1
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    • pp.147-164
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    • 2008
  • When measuring the value of environmental attributes of housing, the conventional Hedonic Pricing Method assumes market equilibrium. Thus each attribute is believed to be implicitly valued based on the market price. The revealed preference is the basic logic in this approach. However, if the participants in the housing market are not perfectly informed or feel vagueness regarding the attributes of the housing, the conventional Hedonic Pricing Approach could not provide relevant value of the attribute in question. A Fuzzy Regression Method is suggested to handle with the lack of information or preference uncertainty problem m the Hedonic Pricing Approach. In this paper, our main concern IS given to the fuzziness effect on the airport noise in the metropolitan areas of South Korea.

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Development of Electrical Safety Monitoring System for Conventional Markets (재래시장 전기안전 감시시스템 개발)

  • Lee, Sang-Ick;Kim, Gi-Hyun;Bae, Seok-Myung
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.58 no.4
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    • pp.552-556
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    • 2009
  • This paper in order to reduce the electric disaster damage which is caused by with electric equipment of conventional markets is introduced the electric safety monitoring system which is suitable in conventional markets. Investigate the actual conditions about electrical equipment of conventional markets, electrical safety monitoring system was constructed. Electrical safety monitoring system to verify the performance of the experiment was to build a test bed. Research results will be used with the data for the reliability security of the electric safe system operation which follows in the conventional markets actual proof equipment construction which will be advanced.

Application of Fuzzy Theory and Analytic Hierarchy Process to Evaluate Marketing Strategies

  • Yu, C.S.;Tzeng, G.H.;Li, H. L.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.352-357
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    • 1998
  • Conventional marketing research generally focuses on a single layer's benefit. A notable example is the consumer layer providing managers with partial market information to evaluate relevant strategies. As generally known, marketing management encounters complex supply and demand behaviors, thereby necessitation that a successful marketing strategy adopt multi-layer considerations, such as the consumer layer, channel-retailer layer, and marketing planner layer. In light of above situation, this study applies fuzzy theory and the analytic hierarchy process(AHP) technique to analyze the performances of marketing strategies under multi-layer benefits, In addition, conventional marketing research has difficulty in efficiently allocating the limited budget so that each desired criterion can be significantly enhanced by a group of events. Therefore, a weighting structure among the goal, layers, criteria, and strategies(i.e. a group of events) is also developed herein to trace the influential process and assist marketing managers in efficiently allocating resources(i.e.budget).

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Design of Context-Aware based u-CMIS System for Revitalization of Conventional Market (재래시장 활성화를 위한 상황인식 기반의 u-CMIS 시스템 설계)

  • Lim, Ji-Hoon;Kim, Seok-Soo
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.57-60
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    • 2009
  • 국내 소비시장의 일부분인 재래시장은 현대화와 정보화로 인해 소비자가 감소함에 따라 시설개선, 홍보이벤트 등 외형적인 부분에 중점적으로 변화가 일어나고 있다. 하지만, 소비자들의 편리성을 고려한 서비스에 대해서는 그 대책이 미흡한 실정이다. 이에 따라 본 논문에서는 재래시장의 활성화를 위하여 이기종 센서 및 RFID 태그를 통해 재래시장의 실시간 정보를 얻고, 이를 소비자 및 판매자의 정보와 함께 규칙/사례기반추론 방식을 이용하여 다양한 맞춤형 서비스를 제공할 수 있는 상황인식 기반의 u-CMIS(ubiquitous-Conventional Market Information System) 모델을 제안한다. 본 논문에서 제안하는 u-CMIS 모델은 소비자가 재래시장을 효율적으로 이용할 수 있도록 기존의 온라인 마켓과 모바일 온라인마켓을 통해 언제 어디서나 실시간으로 재래시장의 정보 및 맞춤형 서비스를 제공받을 수 있으며, 이를 통해 소비시간을 단축하거나 물품을 저렴하게 구입할 수 있을 것이다.

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Current status on applications of conventional breeding techniques and biotechnological system in ornamentals

  • Kim, Jong Bo
    • Journal of Plant Biotechnology
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    • v.47 no.2
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    • pp.107-117
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    • 2020
  • Flower industry is now growing due to the development of economy in many countries. Simultaneously, needs from consumers in flower market are varied widely. To satisfy the needs from consumers and deal with a variety of diseases from a lots of pathogens as well as climate change, new elite flower cultivars should be released in flower market. For this purpose, conventional and biotechnological techniques can be employed to make good cultivar. Therefore, this review describes the general overview of flower breeding techniques including cross-hybridization, mutation breeding and genetic transformation systems. Also, breeding systems for ornamentals derived from plant tissue culture such as embryo culture, in vitro fertilization, ovary/ovule culture and haploid production were reviewed. Furthermore, in this study recent development of the generation of new flower cultivars using marker-assisted breeding, plant transformation including particle bombardment and Agrobacterium tumefaciens as well as genome-editing technology were described. This review will be contributed to the development and releasement of new flower cultivars with horticulturally useful traits in the future.

New Electricity Load Model (새로운 전력 부하모형)

  • Kim, Joo-Hak;Choi, Joon-Young;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.289-291
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    • 2000
  • In a competitive electricity power market, the price of electricity changes instantly, that of conventional market is predetermined and hardly changes. In such a new environment, customers' behaviors change instantly according to the changing electricity prices. If we develop a electricity load model that well describes the behavior of electricity consumers, we can utilize that model in forecasting the amount of future load, solving the load flow problem and finding the weak point of the system. In this paper new electricity model that considers the price of electricity and power factor of the load is presented. While conventional load model, which is demand function of electricity, uses the price of real and reactive power as the independent variable of the demand function. this new load model uses price of real power and penalty factor according to the power factor for the calculation of amount of electricity demand.

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Methodology for Estimating the HTS Cable Market Price (초전도케이블 시장진입 가격 산정 방법론 고찰)

  • Kim Jong-Yul;Lee Seung-Ryul;Yoon Jae-Young
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.10
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    • pp.536-541
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    • 2004
  • As power demand increases gradually, the call for underground transmission system increases. But it is very difficult and high in cost to construct new ducts and/or tunnels for power cables in metropolitan areas. HTS (High Temperature Superconducting) cable has the several useful characteristics such as increased power density, stronger magnetic fields and/or reduced losses. Therefore HTS cable can allow more power to be moved in existing ducts, which means very large economical and environmental benefits. In these days, companies world-wide have conducted researches on HTS cable. A development project for a 22.9kV class HTS cable is proceeding at a research center and university in Korea. In this paper, we investigate the expected price of HTS cable to have a merit in viewpoint of economic aspect. First, life-cycle cost of conventional cable is calculated and based on this, the expected price of HTS cable is evaluated, which HTS cable is competitive against conventional cable.

Current Status and Future Prospect of Terrestrial Solar Cell Applications

  • Jung, Sung-Wook;Kim, Young-Kuk;Yi, Jun-Sin
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1125-1128
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    • 2009
  • Conversion of light energy to electrical energy by using a solar cell has long been considered as one of the option for an electrical energy supply in the future. In the past, commercial use was restricted largely to remote area applications where conventional electricity is expensive. Recently, the major application of the solar cells changed to become generation of residential electricity in urban areas where the electricity is already supplied by the conventional grid. This paper covers the current market and technology status of the solar cells and future prospect of their terrestrial applications. Reviewing market trend, this paper discusses high efficiency approach in silicon solar cells, low cost approach in silicon solar cells and finally covers future prospects of silicon solar cells.

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Functional Health Food and Milk Product Industry (건강기능식품과 유가공 산업)

  • Jang, Kyung-Won;Cho, Yang-Hee
    • Journal of Dairy Science and Biotechnology
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    • v.22 no.1
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    • pp.53-60
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    • 2004
  • During the past decade, functional foods and nutraceuticals have emerged as a major consumer-driven trend, serving the desire of aging populations to exercise greater control over health, delaying aging, prevent disease and enhance well-being and performance. On a global basis, retail sales of functional food were worth an estimated USD 1,501 billion in 2001. The market for functional food in Korea has increased in the last three years above 10%. Especially value sales rose by over 30% between 1999 and 2001, and are worth around 12,000 billion won in 2001. To regulate functional food represented a rapidly growing market in Korea a new act 'Functional Health Food Act' was announced officially in 2002. The type of functional milk product in Korea market is conventional food containing various functional ingredient. To promote functional food market in milk product sector the introduction of functional and health claim should be taken into account in the future in Korea.

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Supervised Learning-Based Collaborative Filtering Using Market Basket Data for the Cold-Start Problem

  • Hwang, Wook-Yeon;Jun, Chi-Hyuck
    • Industrial Engineering and Management Systems
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    • v.13 no.4
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    • pp.421-431
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    • 2014
  • The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-start problem. The binary logistic regression approach may not function appropriately if the principal components are inefficient for the cold-start problem. Assuming that the market basket data can also be considered as a special regression problem whose response is either 0 or 1, we propose three supervised learning approaches: random forest regression, random forest classification, and elastic net to tackle the cold-start problem, comparing the performance in a variety of experimental settings. The experimental results show that the proposed supervised learning approaches outperform the conventional approaches.