• 제목/요약/키워드: Data Characteristic

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Clustering Method Using Characteristic Points with Marketing Data (마케팅자료에서 특성점들을 이용한 군집방법)

  • Moon Soog-Kyung;Kim Woo-Sung
    • Journal of Korean Society for Quality Management
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    • v.32 no.4
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    • pp.265-273
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    • 2004
  • We got the growth distance curve by spline smoothing method with observed marketing data and the growth velocity curve by the derivation of the growth distance curve. Using this growth velocity curve, we defined the several characteristic points which describe the variation of marketing data. In this paper, to specify several patterns of marketing data, we suggested characteristic function by using these characteristic points. In addition, we applied characteristic function to the seventeen brands of electric home products data.

A Study on the Modification Method of Flow Data in the Sewage System (하수관거 유량자료의 보정방법에 관한 연구)

  • Kim, Dae-Geun;Gong, Min-Geun
    • Journal of Korean Society of Water and Wastewater
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    • v.17 no.4
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    • pp.495-502
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    • 2003
  • In order to modify incorrect flow data in the sewage system, the method using the stage-discharge relation and hydraulic characteristic curve of sewer pipe are applied. The modified data were verified with field measured data and the infiltration analysis using the modified data was carried out. When flowrate were measured using the flow-meter in fair weather, the stage data were comparatively consistent but velocity data were very poor for the most part. Therefore, it was recommended that sewage flowrate variation characteristic curve and infiltration were computed using the modified data on the basis of stage data. Especially, in the case of using the hydraulic characteristic curve, extrapolation results of the rainy season flowrate using regression curve on the basis of the data in fair weather were also reasonable.

On the efficient transmission of video stream using characteristic information (특성 정보를 이용한 비디오 스트림의 효율적 전송)

  • 강수용;염헌영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.9
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    • pp.2328-2340
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    • 1996
  • Until now, the transmission of data for VOD(Video on Demenad) was based on a real time modelling of video data. Markow Modulated Fluid Sources(MMFS) and Markow Modulated Poisson Sources(MMPS) are the most widely used modelling methods. But the charactersitics of the VBR(Variable Bit Rate) signal prevents modelling from actually being "real-time". Also these methods call for the use of large buffers for the abolishment of cell loss. These modelling methods are, of course, useful i case of teleconferences where a real time modelling of video traffic is inevitable, but they are insufficient in cases where the characteristic infomation of video traffic can be obtained beforehand-cases such as VOD. Video data is speial in that if one file is preprocessed all other products can simply be copied from that onepreprocessed file. This characteristic helps reduce the overhead arising from the job of drawing out characteristic information to almost zero. But still, compared to the existing real time modelling method data transmission using characteristic information succeeds in raising the efficiency of data transmission. In tis paper we will outline a method of dta transmission which use the characteristic information of each video stream, and evaluate this method through some experiments.periments.

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A Study for Parking Characteristic of Parking Operation Method (주차장 운영방식에 따른 주차특성 분석)

  • Jung, Ki-Soo;Lee, Young-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.13 no.1
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    • pp.5-13
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    • 2010
  • Industrialization and urbanization occurred-traffic delay, traffic accident and parking problem etc.-variety of transportation problems. Parking problem is one of the transportation problem then transportation engineers would get involved in trying to solve parking problem. A way to overcome a variety of parking problems needs preliminary data for conditions of parking but it lacks the preliminary data to do so. Thus this study analyzed a characteristic of a parking through a field survey for parking in Daegu Metropolitan City. This study analyzed parking characteristic of parking operation method. This study result reveals difference between a toll parking and a no charge parking characteristic. Thus a close examination for a toll parking characteristic and a no charge parking characteristic is a prerequisite for a rational parking policy.

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A Study for Communication Mode of Bus Information System (도시별·용도지역별 주차특성 분석)

  • Lee, Young-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.11 no.3
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    • pp.113-120
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    • 2008
  • Rapid urbanization occurred a variety of transportation problems. Parking problem is one of the most problems of transportation problem then transportation engineers would get involved in trying to solve parking problem. A way to overcome a variety of parking problems needs preliminary data for conditions of parking but it lacks the preliminary data to do so. Thus this study analyzed a characteristic of a parking through a field survey for parking in Daegu Metropolitan City and Ulsan Metropolitan City. This study analyzed parking turnover, parking use ratio and parking basic unit for characteristic of a parking of each use districts and each cities. This study result reveals difference between the use districts' parking characteristic and cities' parking characteristic. Thus a close examination for use districts' parking characteristic and cities' parking characteristic is a prerequisite for a rational parking policy.

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Operation Simulation of a Microturbine Based on Test Data (시험 데이터를 지반으로 한 마이크로터빈 운전 시뮬레이션)

  • Lee, Jong-Joon;Yoon, Jae-Eun;Kim, Tong-Seop
    • The KSFM Journal of Fluid Machinery
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    • v.9 no.6 s.39
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    • pp.22-28
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    • 2006
  • Operation of a microturbine was simulated on the basis of component characteristic parameters obtained from performance test. Characteristic parameters, such as compressor and turbine efficiencies, recuperator effectiveness as well as turbine inlet temperature, were obtained for a wide operation range. Component characteristics including performance maps and characteristic curves were generated using measured data. Based on the component characteristics, a simulation program was constructed and operation of the microturbine was simulated, and the simulated results were compared with the measured data to verify the program. Also, influence of variation in the power control scheme on the operating characteristic and performance of the engine was simulated. The simulation program can be used for predicting operation of both healthy and degraded engine conditions.

Receiver Operating Characteristic Analysis by Data Mining

  • Rhee Seong-Won;Lee Jea-Young
    • Proceedings of the Korean Statistical Society Conference
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    • 2001.11a
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    • pp.195-197
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    • 2001
  • Data Mining is used to discover patterns and relationships in huge amounts of data. Researchers in many different fields have shown great interest in data mining analysis. Using the classification technique of data mining analysis, the available model for Receiver Operating Characteristic(ROC) method is presented. We present that this may help analyze result of data mining techniques.

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A Study on the Impact of the Basic Characteristic of MyData on the Its Services and Government Policies - focusing on major countries' cases (마이데이터 기본 특성이 서비스와 정부정책에 미치는 영향 연구 - 국내외 사례를 중심으로)

  • Sei Young Lee;Kyung-Keun Byun;Sung-Won Cho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.2
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    • pp.77-86
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    • 2023
  • Unlike previous studies that dealt with the basic characteristic of My Data in terms of the legal system, this study analyzed the impact of the basic characteristic of My Data, which is finding a balance between the use and protection of personal data, on My Data services and government policies at home and abroad through a literature review to present implications for the creation of a healthy My Data ecosystem. The basic characteristic of My Data acted as facilitators and barriers for the acceptance and activation of My Data services, and suggested the values and directions pursued in the My Data policies of major countries. This suggests that a more balanced perspective is needed in promoting MyData services and government policies in the future. It is hoped that this study will contribute to creating a healthy ecosystem of MyData and promoting desirable government policies.

Characteristic Genera of Closed Orientable 3-Manifolds

  • KAWAUCHI, AKIO
    • Kyungpook Mathematical Journal
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    • v.55 no.4
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    • pp.753-771
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    • 2015
  • A complete invariant defined for (closed connected orientable) 3-manifolds is an invariant defined for the 3-manifolds such that any two 3-manifolds with the same invariant are homeomorphic. Further, if the 3-manifold itself can be reconstructed from the data of the complete invariant, then it is called a characteristic invariant defined for the 3-manifolds. In a previous work, a characteristic lattice point invariant defined for the 3-manifolds was constructed by using an embedding of the prime links into the set of lattice points. In this paper, a characteristic rational invariant defined for the 3-manifolds called the characteristic genus defined for the 3-manifolds is constructed by using an embedding of a set of lattice points called the PDelta set into the set of rational numbers. The characteristic genus defined for the 3-manifolds is also compared with the Heegaard genus, the bridge genus and the braid genus defined for the 3-manifolds. By using this characteristic rational invariant defined for the 3-manifolds, a smooth real function with the definition interval (-1, 1) called the characteristic genus function is constructed as a characteristic invariant defined for the 3-manifolds.

Receiver Operating Characteristic (ROC) Curves Using Neural Network in Classification

  • Lee, Jea-Young;Lee, Yong-Won
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.4
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    • pp.911-920
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    • 2004
  • We try receiver operating characteristic(ROC) curves by neural networks of logistic function. The models are shown to arise from model classification for normal (diseased) and abnormal (nondiseased) groups in medical research. A few goodness-of-fit test statistics using normality curves are discussed and the performances using neural networks of logistic function are conducted.

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