• Title/Summary/Keyword: external electricity

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Design of Wind Turbines for Reducing Interference to Radar Signals (레이더 신호 간섭의 최소화를 위한 풍력 발전기 설계)

  • Park, Kang-Kook;Chin, Hui-Cheol;Kim, Kyung-Tae;Kim, Hyo-Tae;Kim, Jin-Bong
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.4
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    • pp.533-540
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    • 2012
  • The use of wind energy is gaining importance because of its many advantages. Nations worldwide are promoting the installation of wind farms to produce electricity in an attempt to tackle climate change and increasing oil costs. But, wind turbines can generate undesired signals which disturb the performance of military radar systems. Because the current generation of on and off-shore three bladed wind turbines have radar signatures consistent with their very large physical size. So this study considers the options available for the reduction of wind turbine radar signature and presents solutions for each of the main external turbine components. The radar signature reduction approaches are based on existing technologies developed for aerospaces stealth applications. However, the realization of these for the purposes of reduction wind turbine radar signatures is a novel development, particularly in the solutions proposed. This paper is presented techniques which reduce radar signatures of wind turbine. We know that radar signatures of wind turbine reduce by using these techniques.

The Influences of Thailand's Import and FDI on Lao PDR's Economic Growth (태국의 수입 및 FDI가 라오스의 경제성장에 미친 영향)

  • Kim, Kyu;Kwon, KiChul
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.304-316
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    • 2020
  • Laos is rich in natural resources but lacks the capital to develop them. Partly alleviating the shortage is FDI from neighboring countries, especially Thailand. Not only does this contribute to directly increasing GDP by increasing effective demand, it also has an additional GDP increase effect by expanding Laos' production capacity. Laos' exports mostly consist of mineral resources and electricity. This, too, contributes to an increase in GDP by increasing the effective demand. Thailand accounts for more than 40 percent of Laos' exports. This paper tries to confirm the economic impact on Laos in Thailand through a econometric analysis of Laos' GDP, Laos' exports to Thailand and Thailand's FDI to Laos. It turns out that economic ties with Thailand, including exports to Thailand and Thailand's FDI, play a very important role in Laos' economic growth. Laos recently recorded relatively robust economic growth, but its driving force is weak. That's because Laos' growth engines are very limited and have no resilience to external shocks. Moreover, economic growth has not been linked to an increase in employment because the economy is not diversified and growth in the hydroelectric power sector does not lead to growth in other sectors. Given this, Laos needs to actively take advantage of its geographical proximity to Thailand. It is necessary to create a more active environment for the inflow of FDI in Thailand, to foster resource-based and labor-based manufacturing to take advantage of the Thai market.

Study on the IPMC electrical characteristic change For the utilization of Ocean Current Energy (IPMC 해양 발전 플랜트 모니터링 시스템)

  • Son, Kyung-Min;Kim, Min;Kim, Hyun-jo;Park, Gi-Won;Byun, Gi-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.914-916
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    • 2013
  • Renewable energy from the environment in a variety of ways to obtain various forms of energy. Recent functional polymer composites (EAP) to take advantage of the pressure and vibration of physical energy into electrical energy storage, to take advantage of current collector technology is attracting attention. EAP, a type of IPMC (Ionic exchange Polymer Composite) got a hydrophilic properties, marine power plants is being studied as a source of energy. Studies using IPMC marine power plant because there is a constraint on the time, IPMC in real time, which can measure the power generated by the system is required, Due to the nature of the power plant to be floating in the sea through the power cable and data transmission measurement system is hard drive self-generation and wireless data transmission system is required. In this study, IPMC marine power plant is to develop a system of monitoring. IPMC for several power plants to build individual current-voltage measurement system, CAN communication with the main system to collect all the information and wireless data transmission to occur, and Generation of electricity using solar energy to building systems in real-time without an external power supply to drive the measuring system is to develop a monitoring system.

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Performance Ability after CPR Education of the ground workers in an airport (공항 지상 근무자의 심폐소생술 수행능력)

  • Shin, Ji-Hoon
    • The Korean Journal of Emergency Medical Services
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    • v.13 no.3
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    • pp.29-40
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    • 2009
  • Objective : This study is an experimental study which is designed to examine the differences between knowledge and self-confidence before and after theory education(CPR PPT material) based on guidelines of CPR and emergency cardiac treatment of American Heart Association(AHA, 2005) and video self-instruction program for the general public by Korean Association of Cardiopulmonary Resuscitation(KACPR), trace CPR performance ability after CPR and AED education and investigate the accuracy of artificial respiration and chest compression, and know the difference in CPR performance abilities including AED. Methods : Subjects of this study include ground crews and staffs at M airport in G province equipped with emergency equipments for CPR according to Art. 47, Sec. 2 of Emergency Medical Law, airport police, rent-a-cops, security guard, quarantine officer, custom officer, and communication, electricity, civil engineering, facility management staff, airport fire fighting staff, air mechanic, traffic controller, and airport management team among airport facility management staffs. They were given explanation of necessity of research and 147 of 220 subjects who gave consent to this research but 73 who were absent from survey were excluded were used as subjects of this study. of 147 subjects, there were 102 men and 45 women. Results : 1) Knowledge score of CPR was $6.18{\pm}0.87$ before instruction and it was increased to $15.12{\pm}1.78$ after instruction, and there was statistically significant difference. 2) Self-confidence score in CPR was $3.16{\pm}0.96$ before instruction and it was increased to $7.05{\pm}0.75$ after instruction, and there was statistically significant difference. 3) Total average score in CPR performance ability after instruction was 7.46 out of 9, performance ability was highest in confirmation of response as 144(97.95%), follwed by request of help as 140(95.25%) and confirmation of respiration as 135(91.83%), and lowest in performing artificial respiration twice(gross elevation of chest) as 97(65.98%). Accuracy of artificial respiration(%) was $28.60{\pm}16.88$ and that of chest compression(%) was $73.10{\pm}22.16$. 4) Performance ability of AED after instruction showed proper performance in power on by 141(95.91%) and attaching pad by 135(91.83%), hand-off for analyzing rhythm showed 'accuracy' in 115(78.23%) and 'non-performance' in 32(21.77%), delivery of shock and hand-off confirmation showed 'accuracy' in 109(74.14%) and 'inaccuracy' in 38(25.86%), and beginning chest compression immediately after AED was done by 105(71.42%).

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Scenario-based Vulnerability Assessment of Hydroelectric Power Plant (시나리오 기반 수력플랜트 설비의 취약성 평가)

  • Nam, Myeong Jun;Lee, Jae Young;Jung, Woo Young
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.1
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    • pp.9-21
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    • 2021
  • Recently, the importance of eco-friendly power generation facility using renewable energy has newly appeared. Hydropower plant is a very important source of electricity generation and supply which is very important to secure safety because it is commonly connected with multi facility and operated on a large scale. In this study, a scenario-based analysis method was suggested to assess vulnerability of a penstock system caused by water hammer commonly occurred in the operation of hydropower plants. A hypothetical hydropower plant was used to demonstrate the applicability of a transient analysis model. In order to verify reliability of the model, the prediction of pressure behaviors were compared with the results of commercial model (SIMSEN) and measured data, then a real hydroelectric power plant was applied to develop all potential water hammer scenarios during the actual operation. The scenario-based simulation and vulnerability assessment for water hammer in the penstock system were performed with internal and external load conditions. The simulation results indicated that the vulnerability of a penstock system was varied with the operating conditions of hydropower facilities and significantly affected by load combination consisting of different load scenarios. The proposed numerical method could be an useful tool for the vulnerabilityty assessment of the hydropower plants due to water hammer.

LNG Gas Demand Forecasting in Incheon Port based on Data: Comparing Time Series Analysis and Artificial Neural Network (데이터 기반 인천항 LNG 수요예측 모형 개발: 시계열분석 및 인공신경망 모형 비교연구)

  • Beom-Soo Kim;Kwang-Sup Shin
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.165-175
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    • 2023
  • LNG is a representative imported cargo at Incheon Port and has a relatively high contribution to the increase/decrease in overall cargo volume at Incheon Port. In addition, in the view point of nationwide, LNG is the one of the most important key resource to supply the gas and generate electricity. Thus, it is very essential to identify the factors that have impact on the demand fluctuation and build the appropriate forecasting model, which present the basic information to make balance between supply and demand of LNG and establish the plan for power generation. In this study, different to previous research based on macroscopic annual data, the weekly demand of LNG is converted from the cargo volume unloaded by LNG carriers. We have identified the periodicity and correlations among internal and external factors of demand variability. We have identified the input factors for predicting the LNG demand such as seasonality of weekly cargo volume, the peak power demand, and the reserved capacity of power supply. In addition, in order to predict LNG demand, considering the characteristics of the data, time series prediction with weekly LNG cargo volume as a dependent variable and prediction through an artificial neural network model were made, the suitability of the predictions was verified, and the optimal model was established through error comparison between performance and estimates.

Analyzing the Efficiency of Korean Rail Transit Properties using Data Envelopment Analysis (자료포락분석기법을 이용한 도시철도 운영기관의 효율성 분석)

  • 김민정;김성수
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.113-132
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    • 2003
  • Using nonradial data envelopment analysis(DEA) under assumptions of strong disposability and variable returns scale, this paper annually estimates productive. technical and allocative efficiencies of three publicly-owned rail transit properties which are different in terms of organizational type: Seoul Subway Corporation(SSC, local public corporation), the Seoul Metropolitan Electrified Railways sector (SMESRS) of Korea National Railroad(the national railway operator controlled by the Ministry of Construction and Transportation(MOCT)), and Busan Urban Transit Authority (BUTA, the national authority controlled by MOCT). Using the estimation results of Tobit regression analysis. the paper next computes their true productive, true technical and true allocative efficiencies, which reflect only the impacts of internal factors such as production activity by removing the impacts of external factors such as an organizational type and a track utilization rate. And the paper also computes an organizational efficiency and annually gross efficiencies for each property. The paper then conceptualized that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car & maintenance and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results obtained from DEA show that, on an average, SSC is the most efficient property on the productive and allocative sides, while SMESRS is the most technically-efficient one. On the other hand. BUTA is the most efficient one on the truly-productive and allocative sides, while SMESRS on the truly-technical side. Another important result is that the differences in true efficiency estimates among the three properties are considerably smaller than those in efficiency estimates. Besides. the most cost-efficient organizational type appears to be a local public corporation represented by SSC, which is also the most grossly-efficient property. These results suggest that a measure to sort out the impacts of external factors on the efficiency of rail transit properties is required to assess fairly it, and that a measure to restructure (establish) an existing(a new) rail transit property into a local public corporation(or authority) is required to improve its cost efficiency.