• Title/Summary/Keyword: trend algorithm

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DEM interpolation using spectral information

  • Ji, Jun
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.299-302
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    • 1999
  • Generation of a Digital Elevation Model (DEM) in remote sensing is an important application. The process of DEM generation often requires interpolation. This paper is aimed to introduce a class of interpolation algorithms using spectral information, which is widely used in geophysical applications, and to examine the applicability of the method to DEM interpolation. The interpolation process can be explained in two steps. The first step is for finding spectral information from the known data and the second step is finding missing data so as to follow the spectral trend found in the previous step. The interpolation algorithm has been tested for a real DEM data and problems in the DEM interpolation are discussed.

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A New Algorithm for Predicting Process Variables on Welding Bead Geometry for Robotic Arc welding (로봇 아아크 용접에서 비드 형상에 공정변수들을 예측하기 위한 새로운 알고리즘)

  • 김일수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1997.04a
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    • pp.36-41
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    • 1997
  • With the trend towards welding automation and robozation, mathematical models for studying the influence of various parameters on the weld bead geometry in Gas Metal Arc(GMA) welding process are required. The results of bead on plate welds deposited using the GMA welding process has enabled mathematical relationships to be developed that model the weld bead geometry. Experimental results were compared to outputs obtained using existing formulae that correlate process input variables to output parameters and subsequent modelling was performed in order to better predict the output of the GMA welding process. The aim of this work was to explain the relationships between GMA welding variables and weld bead geometry and thus, be able to predict input weld bead size. The relationships can be usefully employed for open loop process control and also for adaptive control provided that dynamic sensing of process output is performed.

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Implementation of Direct Torque Control Method using Matrix Converter Fed Induction Motor

  • Lee, Hong-Hee;Nguyen, Hoang M.;Chun, Tae-Won
    • Journal of Power Electronics
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    • v.8 no.1
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    • pp.74-80
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    • 2008
  • This paper develops a direct torque control method (DTC) using a matrix converter fed induction motor. The advantages of matrix converters are combined with the advantages of the DTC technique; under the constraint of the unity input power factor, the required voltage vectors are generated to implement the conventional DTC method of induction motor. The proposed DTC algorithm is applied to induction motors and the experimental results are given in steady-state and transient conditions, while the discussion about the trend of the DTC method using the MC is also carried out. Furthermore, the entire system of the matrix converter configuration using 7.5kW IGBT module is explained in detail.

Flood Runoff Analysis on the Anseong-cheon watershed using TOPMODEL and Muskingum method. (TOPMODEL과 Muskingum 기법을 이용한 안성천유역의 홍수유출분석)

  • Kwon, Hyung-Joong;Kim, Seong-Joon
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2002.10a
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    • pp.289-292
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    • 2002
  • In this study, a topography based hydrologic model (TOPMODEL) was tested on the Anseong-cheon watershed. Pit in watershed was removed by liner trend surface interpolator. The DTM Analysis program is used to derived a distribution of ln($a/tan{\beta}$) values from DEM (Digital Elevation Model) using the MDF (Multiple Direction Flow) algorithm of Quinn et al (1995). Current TOPMODEL program limits are number of time step, ln($a/tan{\beta}$) increment, delay histogram ordinate and size of subcatchment pixel maps. Therefore, TOPMODEL is not suitable for application of large watershed. Muskingum method and watershed division enhance grid pixel resolution for rainfall-runoff simulation accuracy.

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Decision Coordination Mechanism to Resolve Conflicts between Departments: Emphasis on Web-DSS Approach (기업내에서 부서간 갈등해결을 위한 의사결정조정 메카니즘에 관한 연구: 웹 DSS 접근방법을 중심으로)

  • 이건창;조형래
    • Journal of the Korean Operations Research and Management Science Society
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    • v.26 no.1
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    • pp.45-60
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    • 2001
  • As the advent of the Internet, most of the modern firms are now forced to use the internet as one of telecommunication tools for daily activities, Especially, as the decision units and/or makers in a firm become geographically dispersed due to the globalization trend, the need for integrating them effectively on the Internet is getting attention from researchers and practitioners much more than ever. In literature, this kind of need has been specially conspicuous in the need for coordinating production and marketing activities which are known as one of the typically conflicting with each other in terms of purposes. Lee and Lee(1999) has proposed an interesting coordination environment for production and marketing, named PROMISE. This paper is aimed at improving the coordination algorithm utilized in PROMISE and accordingly proposing a web-driven DSS for the purpose of transforming PROMISE into a web-based decision support platform for production and marketing coordination.

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Multi-modal Authentication Using Score Fusion of ECG and Fingerprints

  • Kwon, Young-Bin;Kim, Jason
    • Journal of information and communication convergence engineering
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    • v.18 no.2
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    • pp.132-146
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    • 2020
  • Biometric technologies have become widely available in many different fields. However, biometric technologies using existing physical features such as fingerprints, facial features, irises, and veins must consider forgery and alterations targeting them through fraudulent physical characteristics such as fake fingerprints. Thus, a trend toward next-generation biometric technologies using behavioral biometrics of a living person, such as bio-signals and walking characteristics, has emerged. Accordingly, in this study, we developed a bio-signal authentication algorithm using electrocardiogram (ECG) signals, which are the most uniquely identifiable form of bio-signal available. When using ECG signals with our system, the personal identification and authentication accuracy are approximately 90% during a state of rest. When using fingerprints alone, the equal error rate (EER) is 0.243%; however, when fusing the scores of both the ECG signal and fingerprints, the EER decreases to 0.113% on average. In addition, as a function of detecting a presentation attack on a mobile phone, a method for rejecting a transaction when a fake fingerprint is applied was successfully implemented.

Resource Allocation in Multi-Domain Networks Based on Service Level Specifications

  • Avallone Stefano;D'Antonio Salvatore;Esposito Marcello;Romano Simon Pietro;Ventre Giorgio
    • Journal of Communications and Networks
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    • v.8 no.1
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    • pp.106-115
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    • 2006
  • The current trend toward the utilization of the Internet as a common means for the offer of heterogeneous services imposes to address the issues related to end-to-end service assurance in the inter-domain scenario. In this paper, we first present an architecture for service management in networks based on service level specifications (SLS). The architecture is designed to be independent both of the specific network technology adopted and of the high level service semantics. Then, we focus on a specific functionality of the proposed architecture: Resource allocation in the multi-domain scenario. A distributed admission control algorithm is introduced, its complexity is evaluated and a comparison with related solutions is provided.

A study on fault diagnosis for chemical processes using hybrid approach of quantitative and qualitative method (정성적, 정량적 기법의 혼합 전략을 통한 화학공정의 이상진단에 관한 연구)

  • 오영석;윤종한;윤인섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.714-717
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    • 1996
  • This paper presents a fault detection and diagnosis methodologies based on weighted symptom model and pattern matching between the coming fault propagation trend and the simulated one. At the first step, backward chaining is used to find the possible cause candidates for the faults. The weighted symptom model(WSM) is used to generate those candidates. The weight is determined from dynamic simulation. Using WSMs, the methodology can generate the cause candidates and rank them according to the probability. Secondly, the fault propagation trends identified from the partial or complete sequence of measurements are compared to the standard fault propagation trends stored a priori. A pattern matching algorithm based on a number of triangular episodes is used to effectively match those trends. The standard trends have been generated using dynamic simulation and stored a priori. The proposed methodology has been illustrated using two case studies and showed satisfactory diagnostic resolution.

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Development of Software For Machinery Diagnostics by Adaptive Noise Cancelling Method (1St: Cepstrum Analysis)

  • Lee, Jung-Chul;Oh, Jae-Eung;Yum, Sung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10a
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    • pp.836-841
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    • 1987
  • Many kinds of conditioning monitoring technique have been studied, so this study has investigated the possibility of checking the trend in the fault diagnosis of ball bearing, one of the elements of rotating machine, by applying the cepstral analysis method using the adaptive noise cancelling (ANC) method. And computer simulation is conducted in oder to identify obviously the physical meaning of ANC. The optimal adaptation gain in adaptive filter is estimated, the performance of ANC according to the change of the signal to noise ratio and convergence of LMS algorithm is considered by simulation. It is verified that cepstral analysis using ANC method is more effective than the conventional cepstral analysis method in bearing fault diagnosis.

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User Matching System for Activating Sports Tourism Based on Hybrid App

  • Kim, Se-won;Moon, Seok-Jae;Ryua, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.241-246
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    • 2020
  • In this paper, we propose a user matching app based on hybrid app and a utilization plan to promote sports tourism in line with the growing trend of sports industry scale. The proposed app categorizes sports facilities across the country into regional, sports, private and public sports facilities to support reservations and matching. The proposed app applied a matching system in which matching scores were given according to the preference of events, places, and users by user net matching algorithm. Users can enjoy sports as a team or individual through the suggestion app even if they do not have any clubs or friends to which they belong. It can be used to improve tourism content services and establish tourism industry policies by analyzing data generated while using a user matching system.