• Title/Summary/Keyword: data qualify

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Power Quality Data Compression using Wavelet Transform (웨이브렛 변환을 이용한 전력품질 데이터 압축에 관한 연구)

  • Chung Young-Sik
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.12
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    • pp.561-566
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    • 2005
  • This paper introduces a compression technique for power qualify disturbance signal via discrete wavelet transform(DWT). The proposed approach is based on a previous estimation of the stationary component of power quality disturbance signal, so that it could be subtracted from the original signal in order to reduce a dynamic range of signal and generate transient events signal, which is subsequently applied to the compression technique. The compression techniques is performed through the difference signal decomposition, thresholding of wavelet coefficients, and signal reconstruction. It presents the relation between compression efficiency and threshold. It shouts that the wavelet transform leads to a power quality data compression approach with high compression efficiency, small compression error and good de-nosing effect.

A Development of Real Time Artificial Intelligence Warning System Linked Discharge and Water Quality (I) Application of Discharge-Water Quality Forecasting Model (유량과 수질을 연계한 실시간 인공지능 경보시스템 개발 (I) 유량-수질 예측모형의 적용)

  • Yeon, In-Sung;Ahn, Sang-Jin
    • Journal of Korea Water Resources Association
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    • v.38 no.7 s.156
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    • pp.565-574
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    • 2005
  • It is used water quality data that was measured at Pyeongchanggang real time monitoring stations in Namhan river. These characteristics were analyzed with the water qualify of rainy and nonrainy periods. TOC (Total Organic Carbon) data of rainy periods has correlation with discharge and shows high values of mean, maximum, and standard deviation. DO (Dissolved Oxygen) value of rainy periods is lower than those of nonrainy periods. Input data of the water quality forecasting models that they were constructed by neural network and neuro-fuzzy was chosen as the reasonable data, and water qualify forecasting models were applied. LMNN, MDNN, and ANFIS models have achieved the highest overall accuracy of TOC data. LMNN (Levenberg-Marquardt Neural Network) and MDNN (MoDular Neural Network) model which are applied for DO forecasting shows better results than ANFIS (Adaptive Neuro-Fuzzy Inference System). MDNN model shows the lowest estimation error when using daily time, which is qualitative data trained with quantitative data. The observation of discharge and water quality are effective at same point as well as same time for real time management. But there are some of real time water quality monitoring stations far from the T/M water stage. Pyeongchanggang station is one of them. So discharge on Pyeongchanggang station was calculated by developed runoff neural network model, and the water quality forecasting model is linked to the runoff forecasting model. That linked model shows the improvement of waterquality forecasting.

Personalized Information Delivery Methods for Knowledge Portals (지식포탈을 위한 개인화 지식 제공 방안)

  • Lee Hong Joo;Kim Jong Woo;Kim Gwang Rae;Ahn Hyung Jun;Kwon Chul Hyun;Park Sung Joo
    • Journal of Information Technology Applications and Management
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    • v.12 no.4
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    • pp.45-57
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    • 2005
  • In order to provide personalized knowledge recommendation services, most web portals for organizational knowledge management use category or keyword information that portal users explicitly express interests in. However, it is usually difficult to collect correct preference data for all users with this approach, and, moreover, users' preferences may easily change over time, which results In outdated user profiles and impaired recommendation qualify. In order to address this problem, this paper suggests knowledge recommendation methods for portals using user profiles that are automatically constructed from users' activities such as posting or uploading of articles and documents. The result of our experiment shows that the Proposed method can provide equivalent performance with the manual category or keyword selection method.

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A Study on the Impacts of CRM on the Customer Loyalty : Mediation of the Service Quality (고객관계관리가 고객 충성도에 미치는 영향에 관한 연구 : 서비스 품질을 매개로)

  • Han, Dong-Gyun;Cho, Sung-Min;Lee, Sun-Ro
    • Journal of Information Technology Applications and Management
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    • v.14 no.1
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    • pp.99-116
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    • 2007
  • This study intends to examine the effects of CRM on the customer loyalty. Service quality, customer satisfaction, and organizational committment have been tested as mediating factors between the customers' perceived relational efforts and their loyalty. From 236 customers of insurance firms survey data have been collected and analyzed based on the structural equation modeling. The results show that firms' relational efforts have positive impacts on service quality and customer loyalty. Also, this study shows that service quality can play an important mediating role between CRM activities and customer satisfaction as well as organizational commitment, which have shown positive impacts on customer loyalty Consequently, firms need to design their CRM activities paying more attentions to the service qualify attributes, rather than asking too much from the target customers.

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A study of Distribution Characteristic of NO2 Concentration at Busan Metropolitan City (부산광역시 NO2 농도 분포 특성에 관한 연구)

  • Jang Nan-Sim
    • Journal of Environmental Science International
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    • v.14 no.11
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    • pp.1035-1047
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    • 2005
  • By using hourly $NO_2$ concentration data$(1998\~2000)$ at the Busan Metropolitan City air qualify monitoring sites, characteristics of daily mean value of $NO_2$ concentration was discussed in space and time. The correlation between $NO_2$ concentration and other relating air pollutants was analyzed by using SAS program and meteorological parameters as well. After choosing representative 4 areas, this study used hourly concentration data$(1998\~2000)$ from air quality monitoring sites on $NO_2,\;NO,\;O_3,\;CO,\;SO_2\;and\;PM_{10}$. Typical metropolitan characteristics of two peaks in a day was shown in the variation of $NO_2$ concentration of Busan city.

Evaluating Properties of Variable Sampling Interval EWMA Control Charts for Mean Vector

  • Kwon, Yong-Man;Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.639-650
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    • 2005
  • Theoretical and numerical comparison have shown that variable sampling interval (VSI) charts are substantially more efficient than fixed sampling interval(FSI) charts in term of ATS(average time to signal). But the frequency of switching between different sampling intervals is a complicating factor in VSI procedures. VSI EWMA charts for monitoring mean vector of related qualify characteristics are investigated. To compare the efficiencies of the proposed charts, the performances are evaluated for matched FSI and VSI charts in terms of average time to signal(ATS) and average number of samples to signal(ANSS). For the switching behavior of the proposed VSI charts, average number of switches(ANSW) are also investigated.

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Numerical Study on the Performance Characteristics of a Centrifugal Compressor for a R134a Turbo-Chiller (R134a 터보냉동기용 원심압축기의 성능특성에 관한 수치해석적 연구)

  • Lee, Kyoung-Yong;Choi, Young-Seok;Park, Woon-Jean
    • The KSFM Journal of Fluid Machinery
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    • v.7 no.2 s.23
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    • pp.14-20
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    • 2004
  • In this study, the overall performance and the local flow field of the centrifugal compressor with the refrigerant HFC-l34a were numerically studied using CFX-TASCflow. The thermodynamic and transport properties of the refrigerant gas were modeled by REFPROP which is NIST refrigerant properties database. The impacts of a grid qualify, discretization scheme, turbulent model and interaction between a impeller and a cascade diffuser were analyzed comparatively. The results were compared with experimental data and 1-D design results using COMPAL and agreed well with others. The numerical method and data obtained in this study can be applied to the design and modification of centrifugal compressors with real gases

Design of VODB Using Different Protocols (이종 프로토콜을 이용한 VODB 설계)

  • 노영주
    • Journal of the Korea Computer Industry Society
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    • v.4 no.10
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    • pp.741-750
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    • 2003
  • $MTP^{TM}$ guarantees high bandwidth that is necessary to tansmit high qualify full motion video data effectively. In other hand TCP/IP which is used for information search does not guarentee high bandwidth as that in $MTP^{TM}$. Therefore VOD service system that searches information manged by DBMS and transmits required full motion video data should control different kinds of protocol simultaneously. This paper describes the configuration of VODB system that has solved these problems.

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An Efficient Anti-Aliasing Algorithm for Real-Time Rendering (실시간 렌더링을 위한 효율적인 Anti-Aliasing)

  • Han, Tae-Kuen;Ahn, Do-Rang;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 2000.11d
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    • pp.712-714
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    • 2000
  • In the field of computer graphics, it approached the investigation of outstanding performance and high speed. Although most introduced Anti-Aliasing method were to meet these, it was not to improve speed. Because Anti-Aliasing method was focus on only qualify. Anti-Aliasing Effect is compensated from movement of object on the screen. Speed is important in the REAL-TIME application program like as 3D games. Cause Anti-Aliasing which needs great amount of time is not used in general. This Paper suggest the Efficient Anti-Aliasing method which apply Two-Point Anti-Aliasing Method that informs brightness data of the screen and use adjacent brightness data for real-time rendering.

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Application of GWLF Model to Predict Watershed Pollutant Loadings (오염부하량 산정을 위한 GWLF 모형의 적용)

  • Jang, Jung-Seok;Lee, Nam-Ho
    • Journal of Korean Society of Rural Planning
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    • v.7 no.1 s.13
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    • pp.77-88
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    • 2001
  • In order to evaluate the applicability of GWLF model which can efficiently estimate non-point and point source pollutant loadings in rural watershed including urban district, the model was applied to an experimental watershed. The model was calibrated using observed data such as daily runoffs, sediment yields, T-N, and T-P. Simulated daily runoffs and sediment yields by the model using calibrated parameters were in food agreement with the observed data. There were difference between the simulated and observed nutrient loading which was considered resonable. The simulated results by the model showed that T-N, T-P and sediment yields were dependent on the amount of stream runoff discharge and land use. GWLF model is believed to applicable to estimate amount of pollutant loading of non-point source pollution for the water qualify control of agricultural watersheds.

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