• 제목/요약/키워드: 공급지 결정

검색결과 329건 처리시간 0.027초

Macroeconomic Effects of the Global Resource Crisis (글로벌 자원위기의 거시경제적 효과분석)

  • Song, Tae-Jung;Kim, Gi-Seung
    • The Journal of the Korea Contents Association
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    • 제8권10호
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    • pp.259-267
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    • 2008
  • This research will examine the probabilities of future global resource crisis and what significance and effect will come upon our economy through the rise of the cost of resources. From now on, the lack of the supply of global resources will dull the world economic growth. Not only that, but the direction of each country's economic development will be decided by the appropriate measure to the resource crisis. If we are to sustain this inefficient industrial structure, as a country with high dependancy on foreign resources, Korea might face macroeconomic shock and the loss of industrial competitiveness. Therefore, we must increase the efficiency of the resource usage in the manufacturing industry such as the chemical and steel industry, and now is a period when we must add high value to our products. Henceforth, the structural constraints of supply will be the root cause of resource crisis. Thus, we must lead the subject of the economic agencies, such as companies and consumers, so that they will be able to adapt to a new paradigm called the fundamental lack of resources, rather than temporal crisis management. The Korean economy must adjust the environment for industry transformation to be achieved.

Compensation of Radiation Pattern Distortion by Mutual Coupling in the Array Antenna Using the Particle Swarm Optimization Algorithm (입자군집 최적화 알고리즘을 이용한 배열안테나의 상호결합에 의한 방사패턴 왜곡보상)

  • Kim, Jae Hee;Ahn, Chi-Hyung;Chun, Joong-Chang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • 제9권5호
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    • pp.458-464
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    • 2016
  • This paper proposes the compensation method which decreases the radiation pattern distortion caused by the mutual coupling in an array antenna. If the element distance of an array antenna decreases, the radiation pattern could be distorted by the strong mutual coupling, which changes the magnitude and phase of input signals and causes an unwanted radiation pattern. To remove the pattern distortion, compensated input signals are inserted in an array antenna. The magnitude and phase of input signals are determined by Particle Swarm Optimization (PSO) algorithm. A $4{\times}1$ dipole array antenna with omnidirectional elements is used to confirm the validity of the algorithm, where each element is placed in 0.2 wavelength to evoke the strong coupling. After input signals are optimized by PSO, it is found that the compensated radiation results in the same as the ideal case.

Fish Activity State based an Intelligent Automatic Fish Feeding Model Using Fuzzy Inference (퍼지추론을 이용한 어류 활동상태 기반의 지능형 자동급이 모델)

  • Choi, Han Suk;Choi, Jeong Hyeon;Kim, Yeong-ju;Shin, Younghak
    • The Journal of the Korea Contents Association
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    • 제20권10호
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    • pp.167-176
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    • 2020
  • The automated fish feed system currently used in Korea supplies a certain amounts of feed to water tanks at a certain time. This automated system can reduce the labor cost of managing aqua farms, but it is very difficult to control intelligently and appropriately the amount of expensive feed that is critical to aqua farm productivity. In this paper, we propose the FIIFF Inference Model( Fuzzy Inference-based Intelligent Fish Feeding Model) that can solves the problems of these existing automatic fish feeding devices and maximizes the efficiency of feed supply while properly maintaining the growth rate of fish in aqua farms. The proposed FIIFF inference model has the advantage of being able to control feed amounts appropriately since it computes the amount of feed using the current water environments and fish activity state of the aqua farms. The result of the feed amount yield experiment with the proposed FIIFF Inference Model represents the effect of saving 14.8% over the eight months of actual feed amount in the aqua farm.

Study on the Compact MR fluid Brake for the Training and Sporting Equipment for Leg Rehabilitation (하지 재활운동치료 기구에 적용하기 위한 소형 MR 유체 브레이크에 관한 연구)

  • Park, Woo-Cheul;Lee, Hyun-Chang;Kim, Il-Gyoum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제13권7호
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    • pp.2878-2885
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    • 2012
  • In this study, the training and sporting equipment for leg rehabilitation featuring the MR fluids is proposed. The compact MR fluid brake is designed and manufactured to apply to the rehabilitation training and sporting mechanism. The resistance characteristic of the MR fluid brake is controllable by varying the magnetic field around the fluid. Under consideration of spatial limitation, design parameters which are related with the magnetic strength are determined to maximize to a torque using finite element method. The FE analysis is performed using a commercial code, ANSYS Workbench. The proposed brake device is manufactured, and its field-dependant torque is experimentally evaluated. When the electric current is supplied, the torque of the MR fluid brake is increased and the response is very fast. Depending on the strength of the current supply, torques of the MR fluid brake also increase similar to Bingham property of MR fluid.

Study on the Tourism Information System using UCC (UCC를 이용한 관광정보시스템 연구)

  • Yang, Sung-Soo;Huh, Hyang-Jin;Choi, Byung-Kil;Park, Si-Sa
    • The Journal of the Korea Contents Association
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    • 제7권2호
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    • pp.230-236
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    • 2007
  • It is widely recognized that tourism information can be defined as useful and reliable reference which significantly influences the traveler's decision making. As the tourism organizations with online network, along with information system offer an array of information to the public, the passengers more frequently seek and search needed information via internet. However, currently existing tourism contents are mainly designed for suppliers, being viewed by customers perspective, those contents do not reflect the clients inquiries and needs. With the advent of consumer based technology and favorable environment, current tourism-related web sites show some changes from tourism suppliers to User-Created Contents(UCC). The major purpose of this research is to identify the tourism contents provided by both supplier and tourists themselves. Additionally, this paper also indicates research issues for further study.

The Hybrid Road Lighting Control System Design using Solar-Light Generation (태양광 발전을 이용한 하이브리드 도로조명 점등제어 시스템 설계)

  • Hong, Sung-Il;Lin, Chi-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제12권1호
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    • pp.109-120
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    • 2013
  • In this paper we proposed the design of the hybrid road lighting control system using solar-light generation. The proposed hybrid road lighting control system be power offer through hybrid controller using Solar-Light Generation, and it is designed so that it can control lighting up. To control supply of continuous power when during power shortages. And the gateway be transmit control command using zigbee to road lighting to ensure that automatic lighting control on human sensing. In this case, the gateway is apply the lighting control algorithm that decisions to the status of the system by a pre-set time schedule and be able to operate. In this paper, the proposed efficiency analysis results of a hybrid road lighting control system was consumed power of 129.6W per day, 3.8KW per month, 47.3KW per annual. As a result, it were able to increase the energy efficiency than existing lighting control system by reduce power consumption of 76.2% and the electricity prices of 76.8%.

The importance of plant location decision-making in the petrochemical industry (석유화학업체의 플랜트 입지 선정의 중요성에 대한 연구)

  • Jung, Yoon-Jung;Woo, Su-Han;Park, Keun-Sik
    • Journal of Korea Port Economic Association
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    • 제31권1호
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    • pp.127-145
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    • 2015
  • Plant location selection is a decision which requires huge investment and entails a significant impact in a longer-term. The petrochemical industry, in particular, is so capital- and technology-intensive that the firms in the industry pursue enhancing competitiveness through collaboration and integration among entities in their supply chains. Even though the logistics factor such as logistics costs and connectivity have, as a result, gained its importance in plant location decision making, this has rarely studies in empirical studies. Therefore, this study aims to examine the relative importance of the logistics factor in plant location decision making in the petrochemical industry using the multi-criteria decision-making approach. In addition the three representative petrochemical industrial complexes are evaluated by the factors used in this study. This study is able to provide the useful implication in both practical and policy-making aspects. Firms are required to consider the logistics factors with priority compared to other factors in plant location decision making. In addition, when federal or local governments build industrial sites and attract the petrochemical firm, logistics infrastructure should also be considered to provide better transportation connectivity and lower logistics costs in turn.

Eco-System: REC Price Prediction Simulation in Cloud Computing Environment (Eco-System: 클라우드 컴퓨팅환경에서 REC 가격예측 시뮬레이션)

  • Cho, Kyucheol
    • Journal of the Korea Society for Simulation
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    • 제23권4호
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    • pp.1-8
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    • 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.

Low-Power Video Decoding with Optimal Supply Voltage Determination Based on the Number of Non-Coded Blocks (비부호화 블록의 개수를 이용하여 최적 공급 전압을 결정하는 저전력 동영상 복호화 기법)

  • Lee, Seong-Soo
    • Journal of Korea Multimedia Society
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    • 제8권8호
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    • pp.1042-1050
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    • 2005
  • This paper proposed a novel low-power video decoding scheme for mobile multimedia communication. In general, there are quite a large number of non-coded blocks in the encoded bitstream where all quantized DCT coefficients are truncated into zero. When the number of the non-coded blocks are known at the start of frame decoding, the amount of computation reduction can be precisely estimated for frame decoding. When the computation reduces, the operation speed and the corresponding supply voltage of VLSI circuits in the decoder also reduce, thus thus power consumption also reduces. In the proposed scheme, the number of the non-coded blocks is stored in the frame header of the encoded bitstream, and the decoder efficiently reduces the power consumption exploiting this information. Simulation results show that the proposed scheme reduces the power consumption to about 1/20.

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Impact of Sentimental and Contextual Factors on the Acceptance of Music Recommender Systems (음악추천시스템의 수용성에 개인감정과 상황이 미치는 영향)

  • Park, Kyong-Su;Moon, Nam-Mee
    • The Journal of the Korea Contents Association
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    • 제11권5호
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    • pp.104-116
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    • 2011
  • A recommender system is a personalized decision support tool to suggest suitable products in proper manners for the benefits of both suppliers and consumers, with the assumption of full understating of consumers' needs and preferences. However, a substantial number of studies have focused on making recommender systems more accurate and efficient. Whereas, there have been a few studies on consumers' needs and preferences under their own contexts to accept recommender systems. To this end, this study attempted to find out the impact of personal sentiments and contexts on the willingness to accept music recommender systems based on the simplified "Technology Acceptance Model" and some verified variables from the precedent studies. For the study, we conducted an empirical study using surveys and High-Order Structural Equation Model (SEM). The outcomes of the research was affirmative to the research hypothesis that the personal sentiments and contexts positively affect the acceptance of the music recommender systems.