• Title/Summary/Keyword: Active Mining

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Development of Active Data Mining Component for Web Database Applications (웹 데이터베이스 응용을 위한 액티브데이터마이닝 컴포넌트 개발)

  • Choi, Yong-Goo
    • Journal of Information Technology Applications and Management
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    • v.15 no.2
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    • pp.1-14
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    • 2008
  • The distinguished prosperity of information technologies from great progress of e-business during the last decade has unavoidably made software development for active data mining to discovery hidden predictive information regarding business trends and behavior from vary large databases. Therefore this paper develops an active mining object(ADMO) component, which provides real-time predictive information from web databases. The ADMO component is to extended ADO(ActiveX Data Object) component to active data mining component based on COM(Component Object Model) for application program interface(API). ADMO component development made use of window script component(WSC) based on XML(eXtensible Markup Language). For the purpose of investigating the application environments and the practical schemes of the ADMO component, experiments for diverse practical applications were performed in this paper. As a result, ADMO component confirmed that it could effectively extract the analytic information of classification and aggregation from vary large databases for Web services.

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Semi-automatic Construction of Training Data using Active Learning (능동 학습을 이용한 학습 데이터 반자동 구축)

  • Lee, Chang-Ki;Hur, Jeong;Wang, Ji-Hyun;Lee, Chung-Hee;Oh, Hyo-Jung;Jang, Myung-Gil;Lee, Young-Jik
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.1252-1255
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    • 2006
  • 본 논문은 정보검색, 정보추출, 번역, 자연어처리 등의 작업을 위한 통계적 방법론에서 필요한 학습 데이터 구축을 효율적으로 하기 위한 학습 데이터 반자동 구축 장치 및 그 방법에 대하여 기술한다. 본 논문에서는 학습 데이터 구축양을 줄이기 위해서 능동 학습을 이용한다. 또한 최근 각광 받고 있는 Conditional Random Fields(CRF)를 능동학습에 이용하기 위해서 CRF를 이용한 Confidence measure를 정의한다.

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An Active Mining Framework Design using Spatial-Temporal Ontology (시공간 온톨로지를 이용한 능동 마이닝 프레임워크 설계)

  • Hwang, Jeong-Hee;Noh, Si-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3524-3531
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    • 2010
  • In order to supply suitable services to users in ubiquitous computing environments, it is important to consider both location and time information which is related to all object and user's activity. To do this, in this paper, we design a spatial-temporal ontology considering user context and propose a system architecture for active mining user activity and service pattern. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

A Virtual RLC Active Damping Method for LCL-Type Grid-Connected Inverters

  • Geng, Yiwen;Qi, Yawen;Zheng, Pengfei;Guo, Fei;Gao, Xiang
    • Journal of Power Electronics
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    • v.18 no.5
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    • pp.1555-1566
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    • 2018
  • Proportional capacitor-current-feedback active damping (AD) is a common damping method for the resonance of LCL-type grid-connected inverters. Proportional capacitor-current-feedback AD behaves as a virtual resistor in parallel with the capacitor. However, the existence of delay in the actual control system causes impedance in the virtual resistor. Impedance is manifested as negative resistance when the resonance frequency exceeds one-sixth of the sampling frequency ($f_s/6$). As a result, the damping effect disappears. To extend the system damping region, this study proposes a virtual resistor-inductor-capacitor (RLC) AD method. The method is implemented by feeding the filter capacitor current passing through a band-pass filter, which functions as a virtual RLC in parallel with the filter capacitor to achieve positive resistance in a wide resonance frequency range. A combination of Nyquist theory and system close-loop pole-zero diagrams is used for damping parameter design to obtain optimal damping parameters. An experiment is performed with a 10 kW grid-connected inverter. The effectiveness of the proposed AD method and the system's robustness against grid impedance variation are demonstrated.

Context Ontology and Trigger Rule Design for Service Pattern Mining (서비스 패턴 마이닝을 위한 컨텍스트 온톨로지 및 트리거 규칙 설계)

  • Hwang, Jeong-Hee
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.291-299
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    • 2012
  • Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

Research on the deformation characteristics and support methods of the cross-mining roadway floor influence by right-angle trapezoidal stope

  • Zhaoyi Zhang;Wei Zhang
    • Geomechanics and Engineering
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    • v.37 no.3
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    • pp.293-306
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    • 2024
  • Influenced by the alternating effects of dynamic and static pressure during the mining process of close range coal seams, the surrounding rock support of cross mining roadway is difficult and the deformation mechanism is complex, which has become an important problem affecting the safe and efficient production of coal mines. The paper takes the inclined longwall mining of the 10304 working face of Zhongheng coal mine as the engineering background, analyzes the key strata fracture mechanism of the large inclined right-angle trapezoidal mining field, explores the stress distribution characteristics and transmission law of the surrounding rock of the roadway affected by the mining of the inclined coal seam, and proposes a segmented and hierarchical support method for the cross mining roadway affected by the mining of the close range coal seam group. The research results indicate that based on the derived expressions for shear and tensile fracture of key strata, the ultimate pushing distance and ultimate suspended area of a right angle trapezoidal mining area can be calculated and obtained. Within the cross mining section, along the horizontal direction of the coal wall of the working face, the peak shear stress is located near the middle of the boundary. The cracks on the floor of the cross mining roadway gradually develop in an elliptical funnel shape from the shallow to the deep. The dual coupling support system composed of active anchor rod support and passive U-shaped steel shed support proposed in this article achieves effective control of the stability of cross mining roadways, which achieves effective control of floor by coupling active support and preventive passive support to improve the strength of the surrounding rock itself. The research results are of great significance for guiding the layout, support control, and safe mining of cross mining roadways, and to some extent, can further enrich and improve the relevant theories of roof movement and control.

IGBT Open-Circuit Fault Diagnosis for 3-Phase 4-Wire 3-Level Active Power Filters based on Voltage Error Correlation

  • Wang, Ke;Tang, Yi;Zhang, Xiao;Wang, Yang;Zhang, Chuan-Jin;Zhang, Hui
    • Journal of Power Electronics
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    • v.16 no.5
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    • pp.1950-1963
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    • 2016
  • A novel open-circuit fault diagnosis method for 3-phase 4-wire 3-level active power filters based on voltage error correlation is proposed in this paper. This method is based on observing the output pole voltage error of the active power filter through two kinds of algorithms. One algorithm is a voltage error analytical algorithm, which derives four output voltage error analytic expressions through the pulse state, current value and dc bus voltage, respectively, assuming that all of the IGBTs of a certain phase come to an OC fault. The other algorithm is a current circuit equation algorithm, which calculates the real-time output voltage error through basic circuit theory. A correlation is introduced to measure the similarity of the output voltage errors between the two algorithms, and OC faults are located by the maximum of the correlations. A FPGA has been chosen to implement the proposed method due to its fast prototyping. Simulation and experimental results are presented to show the performance of the proposed OC fault diagnosis method.

An Improved Active Damping Method with Capacitor Current Feedback

  • Geng, Yi-Wen;Qi, Ya-Wen;Liu, Hai-Wei;Guo, Fei;Zheng, Peng-Fei;Li, Yong-Gang;Dong, Wen-Ming
    • Journal of Power Electronics
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    • v.18 no.2
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    • pp.511-521
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    • 2018
  • Proportional capacitor current feedback active damping (CCFAD) has a limited valid damping region in the discrete time domain as (0, $f_s/6$. However, the resonance frequency ($f_r$) of an LCL-type filter is usually designed to be less than half the sampling frequency ($f_s$) with the symmetry regular sampling method. Therefore, ($f_s/6$, $f_s/2$) becomes an invalid damping region. This paper proposes an improved CCFAD method to extend the valid damping region from (0, $f_s/6$ to (0, $f_s/2$), which covers all of the possible resonance frequencies in the design procedure. The full-valid damping region is obtained and the stability margin of the system is analyzed in the discrete time domain with the Nyquist criterion. Results show that the system can operate stably with the proposed CCFAD method when the resonance frequency is in the region (0, $f_s/2$). The performances at the steady and dynamic state are enhanced by the selected feedback coefficient H and controller gain $K_p$. Finally, the feasibility and effectiveness of the proposed CCFAD method are verified by simulation and experimental results.

Building Topic Hierarchy of e-Documents using Text Mining Technology

  • Kim, Han-Joon
    • Proceedings of the CALSEC Conference
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    • 2004.02a
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    • pp.294-301
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    • 2004
  • ·Text-mining approach to e-documents organization based on topic hierarchy - Machine-Learning & information Theory-based ㆍ 'Category(topic) discovery' problem → document bundle-based user-constraint document clustering ㆍ 'Automatic categorization' problem → Accelerated EM with CU-based active learning → 'Hierarchy Construction' problem → Unsupervised learning of category subsumption relation

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