• Title/Summary/Keyword: real scale

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Real Option Valuation of a Wind Power Project Based on the Volatilities of Electricity Generation, Tariff and Long Term Interest Rate (발전량, 가격, 장기금리 변동성을 기초로 한 풍력발전사업의 실물옵션 가치평가)

  • Kim, Youngkyung;Chang, Byungman
    • New & Renewable Energy
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    • v.10 no.1
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    • pp.41-49
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    • 2014
  • For a proper valuation of wind power project, it is necessary to consider volatilities of key parameters such as annual energy production, electricity sales price, and long term interest rate. Real option methodology allows to calculate option values of these parameters. Volatilities to be considered in wind project valuation are 1) annual energy production (AEP) estimation due to meteorological variation and estimation errors in wind speed distribution, 2) changes in system marginal price (SMP), and 3) interest rate fluctuation of project financing which provides refinancing option to be exercised during a loan tenor for commercial scale projects. Real option valuation turns out to be more than half of the sales value based on a case study for a FIT scheme wind project that was sold to a financial investor.

Development of 3-axial Realization Algorithm of Road Profile for Multi-axial Road Simulator (다축 로드 시뮬레이터의 3축 재현 알고리즘 개발)

  • 류신호;정상화;김종태
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.962-965
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    • 2002
  • Full scale durability test in the laboratory is an essential of any fatigue life evaluation of components or structures of the automotive vehicle. Component testing is particularly important in today's highly competitive industries where the design to reduce weight and production costs must be balanced with the necessity to avoid expensive service failure. Generally, Hydraulic road simulator is used to carry out the fatigue test and the vibration test. In this paper, the algorithm and software to realize the real road profile are developed. The operation software for simultaneously controlled multi-axial simulator is developed and the input and output data are displayed window based PC controller in real time. The software to generate the real road profile are developed. This paper developed a road profile reappearance software and simultaneously apply 3-axial actuator to white noise, so we verified the propriety of reappearance software through accomplishes an real test.

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Real-Time IoT Big-data Processing for Stream Reasoning (스트림-리즈닝을 위한 실시간 사물인터넷 빅-데이터 처리)

  • Yun, Chang Ho;Park, Jong Won;Jung, Hae Sun;Lee, Yong Woo
    • Journal of Internet Computing and Services
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    • v.18 no.3
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    • pp.1-9
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    • 2017
  • Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.

Analysis of Energy Performance & Energy Saving with Geothermal Heat Pump System Using TRNSYS Program in a Large Scale Shopping Store (TRNSYS 프로그램을 이용한 대형쇼핑매장 에너지성능해석 및 지열시스템을 도입하는 경우 에너지절약 특성분석)

  • Hong, Won-Pyo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.1
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    • pp.47-56
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    • 2015
  • Energy consumption in buildings is currently a real problem. That is why both assessment of energy performance and effective energy management including renewable energy system are essential. Thus, this paper focuses on a case study to analyze the energy performance and cooling & heating energy saving of a large scale shopping store in Daejeon city. The reference building is simulated by using TRNSYS dynamic simulation tool to examine its annual energy consumption. For annual energy analysis of building, one year energy consumption is surveyed in the field. The related study is carried out in large scale shopping store to investigate the energy consumption and energy use trend of heating, cooling, hot water, lighting, ventilation, equipments and other. The evaluation of energy performance of the geothermal heat pump system installed in a large scale shopping store is also analyzed by TRNSYS tool. From simulation results, it evaluated that the geothermal heat pump system is effective energy savings method in large scale shopping store.

Exploratory & Confirmatory Factor Analysis for Developing a Good Secondary School Scale based on the Factors of the Effective Schooling (효과적인 학교교육요소에 근거한 좋은 중등학교 척도개발을 위한 탐색적 확인적 요인분석)

  • Jung, Soon-Mo;Baek, Hyeon-Gi
    • Journal of Digital Convergence
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    • v.6 no.2
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    • pp.41-53
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    • 2008
  • This research is to redefine the concept of Good School and to validate an effective Good Secondary School Scale in Kyung-gi Province and Seoul. As statistical methods, SPSS 13.0 and AMOS 5.0 were used. Item Analysis and Exploratory Factor Analysis(EFA) were conducted to test the reliability of items and the factor structure. And Confirmatory Factor Analysis(CFA) was conducted to test the validity and fitness of the Good School Scale. The outcomes are as follows: First, six factors(school environment, curriculum, teacher, school-based management system, director) will increase the good schooling effectiveness. Second, As a result of Confirmatory Factor Analysis(CFA), the goodness of fit indices(GFI AGFI, CFI, RMSEA) demonstrate statistically significance and fitness of the model. The final Good School Scale supports 6 Good School Factors obtained in main test. Therefore, we can say that this scale can be used as a valid instrument to measure a real Good Schooling Effectiveness at the secondary school situation in Korea.

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Characterization of iron oxide scale films using radio frequency waves (전파를 이용한 철산화물 스케일 박막 특성 연구)

  • Muhn, Sung-Jin;Shin, Dong-Sik;Yun, Him-Chan;Park, Wee-Sang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.55-60
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    • 2009
  • This paper deals with the analysis of characteristics of the scale non-uniformly formed on the surface of the steel during the steel production processes. The steel made at the high temperature contacts with the oxygen in the air, so forms the scale immediately. The scale has a role to protect the surface of the steel product as a oxide-layer, but the scale formed non-uniformly spoils the exterior of the steel product and occurs the problems about the next processes. There is a pickling process to remove the scale of the steel products, but the real situation is that the pickling process is not also based on the analysis of the characteristics of the scale. Therefore, this paper describe the procedures of the analysis of the scale more effectively using the radio-frequency wave. Using the radio-frequency wave, this paper introduce the experimentations to analyze the distributions of scale, the junction characteristics between the surface of steel and scale and the distributions of scale on the produced steel coil. Also, according to the simple simulations, this paper proves the proprieties about the above contents.

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A spectrum based evaluation algorithm for micro scale weather analysis module with application to time series cluster analysis (스펙트럼분석 기반의 미기상해석모듈 평가알고리즘 제안 및 시계열 군집분석에의 응용)

  • Kim, Hea-Jung;Kwak, Hwa-Ryun;Kim, Yu-Na;Choi, Young-Jean
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.1
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    • pp.41-53
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    • 2015
  • In meteorological field, many researchers have tried to develop micro scale weather analysis modules for providing real-time weather information service in the metropolitan area. This effort enables us to cope with various economic and social harms coming from serious change in the micro meteorology of a metropolitan area due to rapid urbanization such as quantitative expansions in its urban activity, growth of population, and building concentration. The accuracy of the micro scale weather analysis modules (MSWAM) directly related to usefulness and quality of the real-time weather information service in the metropolitan area. This paper design a evaluation system along with verification tools that sufficiently accommodate spatio-temporal characteristics of the outputs of the MSWAM. For this we proposes a test for the equality of mean vectors of the output series of the MSWAM and corresponding observed time series by using a spectral analysis technique. As a byproduct, a time series cluster analysis method, using a function of the test statistic as the distance measure, is developed. A real data application is given to demonstrate the utility of the method.

Comparison of Observed Wave Height and Wave Image of Sok-cho Site (속초연안지점의 관측파고와 파영상자료의 비교)

  • Jang, Bok-Jin;Yeo, Woon-Kwang;Lee, Jong-Kook;Park, Kwang-Soon
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.19 no.4
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    • pp.329-335
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    • 2007
  • The eye measurement to observe the sea surface condition and estimate the wave height has been used in the open sea or the ship. The experts in the eye estimation can measure the wave height very accurately. The Beaufort wind scale is most widely used as a standard index of the eye measurement. However, more definite reference data such as the representative images by each wave heights must be necessary because the appearances and explanations in the Beaufort wind scale are not enough to understand the sea surface condition far the researcher and the public. The modern field data acquisition technique has been developed to measure wave heights, ocean weather data and even images of the sea surface in real-time. In this study, the wireless field image transmitting system for wave heights and images is installed in the real-time ocean measurement system of Chodo light tower near Sokcho city in South Korea. The wave heights and surface images acquired from the real time system in the field are compared with explanations of the Beaufort wind scale. The wave heights and images measured with the precision ultrasonic wave sensor and the scientific sea surface image transmitting system should be helpful to obtain more precise and definite information than the data from the Beaufort wind scale.

LASPI: Hardware friendly LArge-scale stereo matching using Support Point Interpolation (LASPI: 지원점 보간법을 이용한 H/W 구현에 용이한 스테레오 매칭 방법)

  • Park, Sanghyun;Ghimire, Deepak;Kim, Jung-guk;Han, Youngki
    • Journal of KIISE
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    • v.44 no.9
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    • pp.932-945
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    • 2017
  • In this paper, a new hardware and software architecture for a stereo vision processing system including rectification, disparity estimation, and visualization was developed. The developed method, named LArge scale stereo matching method using Support Point Interpolation (LASPI), shows excellence in real-time processing for obtaining dense disparity maps from high quality image regions that contain high density support points. In the real-time processing of high definition (HD) images, LASPI does not degrade the quality level of disparity maps compared to existing stereo-matching methods such as Efficient LArge-scale Stereo matching (ELAS). LASPI has been designed to meet a high frame-rate, accurate distance resolution performance, and a low resource usage even in a limited resource environment. These characteristics enable LASPI to be deployed to safety-critical applications such as an obstacle recognition system and distance detection system for autonomous vehicles. A Field Programmable Gate Array (FPGA) for the LASPI algorithm has been implemented in order to support parallel processing and 4-stage pipelining. From various experiments, it was verified that the developed FPGA system (Xilinx Virtex-7 FPGA, 148.5MHz Clock) is capable of processing 30 HD ($1280{\times}720pixels$) frames per second in real-time while it generates disparity maps that are applicable to real vehicles.

Camera calibration parameters estimation using perspective variation ratio of grid type line widths (격자형 선폭들의 투영변화비를 이용한 카메라 교정 파라메터 추정)

  • Jeong, Jun-Ik;Choi, Seong-Gu;Rho, Do-Hwan
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.30-32
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    • 2004
  • With 3-D vision measuring, camera calibration is necessary to calculate parameters accurately. Camera calibration was developed widely in two categories. The first establishes reference points in space, and the second uses a grid type frame and statistical method. But, the former has difficulty to setup reference points and the latter has low accuracy. In this paper we present an algorithm for camera calibration using perspective ratio of the grid type frame with different line widths. It can easily estimate camera calibration parameters such as lens distortion, focal length, scale factor, pose, orientations, and distance. The advantage of this algorithm is that it can estimate the distance of the object. Also, the proposed camera calibration method is possible estimate distance in dynamic environment such as autonomous navigation. To validate proposed method, we set up the experiments with a frame on rotator at a distance of 1, 2, 3, 4[m] from camera and rotate the frame from -60 to 60 degrees. Both computer simulation and real data have been used to test the proposed method and very good results have been obtained. We have investigated the distance error affected by scale factor or different line widths and experimentally found an average scale factor that includes the least distance error with each image. The average scale factor tends to fluctuate with small variation and makes distance error decrease. Compared with classical methods that use stereo camera or two or three orthogonal planes, the proposed method is easy to use and flexible. It advances camera calibration one more step from static environments to real world such as autonomous land vehicle use.

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