• 제목/요약/키워드: Data Characteristic

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리튬 2차 전지의 1차원 열적 특성을 고려한 지능형 용량예측

  • 이정수;호빈;김광선;임근욱;조장군;조현찬
    • 한국반도체및디스플레이장비학회:학술대회논문집
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    • 한국반도체및디스플레이장비학회 2007년도 춘계학술대회
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    • pp.244-249
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    • 2007
  • In this paper, in order to get the characteristics of the lithium secondary cell, such as cycle life, charge and discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc, we build a mathematical model of battery. In this one-dimensional model, Seven governing equations are made to solve seven variables $c,\;c_s,\;{\Phi}_1,\;{\Phi}_2,\;i_2,\;j\;and\;T$. The mathematical model parameters used in this model have been adjusted according to the experimental data measured in our lab. The connecting research of this study is to get an accurate estimate of the capacity of battery through comparison of results from simulation and fuzzy logic system. So the result data from this study is reorganized to fit the fuzzy logic algorithm.

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기상특성을 고려한 친환경 주거단지계획을 위한 연구 - 서울특별시 자동기상관측장비분석을 중심으로 (A study on the Planning of Environmental Housing Complex Based on Characteristic of Weather bulletin Based on analysis of Automatic Weather System in Seoul)

  • 조성민;하미경
    • 한국주거학회:학술대회논문집
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    • 한국주거학회 2004년도 추계학술대회 논문집
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    • pp.163-168
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    • 2004
  • The purpose of this study is to analyse the climatic characteristic of South Korea and use it as a fundamental data for planning an environmental housing complex in Seoul, the capital of South Korea. The world after the Industrial Revolution has greatly developed economically but falied to notice the importance of the environment. It has been gradually damaged by the reckless exploitation for tens of years, and thus inflicted a loss on human. In this study, necessity and usability of the application of the climatic element for planning the environmental housing complex are to be presented. The data used in this study are given by the Met.

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자성 측정 방법에 따른 BLDC 전동기의 전자계 특성해석 (Finite Element Analysis of BLDC Motor Characteristic according to Magnetic Property Measurement Methods)

  • 김지현;하경호;권오열;차상윤;김재관
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.697-698
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    • 2008
  • This paper deals with finite element characteristic analysis of brushless DC motor according to magnetic property measurement methods. Magnetic property data for non-oriented (NO) electrical steel for electric motors are measured by the Epstein test which is considered as the international standards. Data from Epstein test may result in discrepancy from motor characteristic tests due to innate anisotropic property of NO electrical steel. Finite element analysis were performed for a BLDC motor by various measurement methods such as Epstein test, Ring test and single sheet test (SST), and calculated results were compared with considering anisotropic property conditions.

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상수형 고장률 관리도 (Control Chart for Constant Hazard Rate)

  • 이재만;차영준;홍연웅
    • Journal of the Korean Data and Information Science Society
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    • 제10권2호
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    • pp.437-444
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    • 1999
  • 상수형 고장률을 갖는 시스템에 대하여 일정한 구간별로 비복원(복원)으로 시스템의 고장여부를 관찰하여 얻은 수명자료를 이용한 시스템 고장률 관리도를 제안하고 OC곡선(operating-characteristic curve)을 이용하여 제안된 관리도의 성능을 고찰하였다.

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확장된 퍼지 클러스터링 알고리즘을 이용한 영상 분할 (Image Segmentation Using an Extended Fuzzy Clustering Algorithm)

  • 김수환;강경진;이태원
    • 전자공학회논문지B
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    • 제29B권3호
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    • pp.35-46
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    • 1992
  • Recently, the fuzzy theory has been adopted broadly to the applications of image processing. Especially the fuzzy clustering algorithm is adopted to image segmentation to reduce the ambiguity and the influence of noise in an image.But this needs lots of memory and execution time because of the great deal of image data. Therefore a new image segmentation algorithm is needed which reduces the memory and execution time, doesn't change the characteristices of the image, and simultaneously has the same result of image segmentation as the conventional fuzzy clustering algorithm. In this paper, for image segmentation, an extended fuzzy clustering algorithm is proposed which uses the occurence of data of the same characteristic value as the weight of the characteristic value instead of using the characteristic value directly in an image and it is proved the memory reduction and execution time reducted in comparision with the conventional fuzzy clustering algorithm in image segmentation.

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국방분야 빅데이터 분석의 활용가능성에 대한 고찰 (A Study on a Way to Utilize Big Data Analytics in the Defense Area)

  • 김성우;김각규;윤봉규
    • 한국경영과학회지
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    • 제39권2호
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    • pp.1-19
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    • 2014
  • Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

An Activity-Centric Quality Model of Software

  • Koh, Seokha
    • Journal of Information Technology Applications and Management
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    • 제26권2호
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    • pp.111-123
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    • 2019
  • In this paper, software activity, software activity instance, and the quality of the activity instance are defined as the 'activity which is performed on the software product by a person or a group of persons,' the 'distinctive and individual performance of software activity,' and the 'performer's evaluation on how good or bad his/her own activity instance is,' respectively. The representative values of the instance quality population associated with a product and its sub-population are defined as the (software) activity quality and activity quality characteristic of the product, respectively. The activity quality model in this paper classifies activity quality characteristics according to the classification hierarchy of software activity by the goal. In the model, a quality characteristic can have two types of sub-characteristics : Special sub-characteristic and component sub-characteristic, where the former is its super-characteristic too simultaneously and the latter is not its super-characteristic but a part of its super-characteristic. The activity quality model is parsimonious, coherent, and easy to understand and use. The activity quality model can serve as a corner stone on which a software quality body of knowledge, which constituted with a set of models parsimonious, coherent, and easy to understand and use and the theories explaining the cause-and-relationships among the models, can be built. The body of knowledge can be called the (grand) activity-centric quality model of software.

Classification method for failure modes of RC columns based on key characteristic parameters

  • Yu, Bo;Yu, Zecheng;Li, Qiming;Li, Bing
    • Structural Engineering and Mechanics
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    • 제84권1호
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    • pp.1-16
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    • 2022
  • An efficient and accurate classification method for failure modes of reinforced concrete (RC) columns was proposed based on key characteristic parameters. The weight coefficients of seven characteristic parameters for failure modes of RC columns were determined first based on the support vector machine-recursive feature elimination. Then key characteristic parameters for classifying flexure, flexure-shear and shear failure modes of RC columns were selected respectively. Subsequently, a support vector machine with key characteristic parameters (SVM-K) was proposed to classify three types of failure modes of RC columns. The optimal parameters of SVM-K were determined by using the ten-fold cross-validation and the grid-search algorithm based on 270 sets of available experimental data. Results indicate that the proposed SVM-K has high overall accuracy, recall and precision (e.g., accuracy>95%, recall>90%, precision>90%), which means that the proposed SVM-K has superior performance for classification of failure modes of RC columns. Based on the selected key characteristic parameters for different types of failure modes of RC columns, the accuracy of SVM-K is improved and the decision function of SVM-K is simplified by reducing the dimensions and number of support vectors.

기포설된 광케이블 특성측정과 이 선로조건에 대한 SDH 및 DWDM 광전송장치 전송특성측정과 시뮬레이션 (Characteristic Measurement for Ready-Deployed Optical Cable and Simulation for SDH and WDM System Existing Conditions)

  • 이성원;김영범
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제1권2호
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    • pp.121-138
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    • 2001
  • Due to large demand for high speed and great capacity for data transfer, WDM, which uses the wavelength division multiplexing technique, is known as alternative way to satisfy those demand for its flexible network operation and management, easy network expansion with existing networks, and enhancement of efficient data transfer rate. For these reasons, a new high capacity WDM optical communication network plan was established. Therefore, the quality of currently deployed optical cables with 81.6 km in length should be assessed to ensure if high capacity WDM system could be implemented on existing optical cables. Two important characteristic parameters, Transfer Loss and PMD (Polarization Mode Dispersion), were measured to evaluate quality of existing optical cable. Transfer Loss was measured at 0.244 dB per kilometer, which is lower than the design standard value at 0.275 dB/km. The measured PMD value gave at 0.030ps/km, and it, therefore, satisfies the value recommended by ITU-T (International Telecommunication Union-T) of 0.5ps/km. In addition, the transfer characteristic for existing 2.5 Gbps and 10 Gbps system were measured and evaluated, and the results showed that error-free transfer is very much feasible. Computer simulation for DWDM system, which is likely be a future backbone network in Korea, to assess the transfer characteristic using the same condition employed for 2.5 Gbps and 10 Gbps was carried out as well. The simulation verified that a stable network operation and reliable service could be provided.

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개별 부하모델링을 위한 부하의 합리적인 특성실험 (Reasonable Load Characteristic Experiment for Component Load Modeling)

  • 지평식;이종필;임재윤;추진부;김정훈
    • 대한전기학회논문지:전력기술부문A
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    • 제51권2호
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    • pp.45-52
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    • 2002
  • Load modeling is classified into two methods according to approaching method, so called the measurement and component-based method. The measurement method is to model the load characteristics measured directly at substations and feeders. But it is difficult to measure continuously load characteristics from naturally occurring. system variation. The component-based method consists of the fellowing process; component load modeling, composition rate estimation and aggregation of component loads, etc. In this paper, the characteristic experiment of component loads was performed to obtain data for the component load modeling as the component-based method. At first, representative component loads were selected by the proposed method considering the accuracy of load modeling and the performance possibility of component load experiment in the laboratory. Also an algorithm was Proposed to identify the reliability of data obtained from the component load characteristic experiments. In addition, the results were presented as the case studies.