• International Journal of Precision Engineering and Manufacturing-Green Technology
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• 제5권5호
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• pp.571-581
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• 2018

In the present study, monitoring of elliptical vibration cutting process by utilizing internal data in the ultrasonic elliptical vibration device without external sensors such as a dynamometer and displacement sensor is investigated. The internal data utilized here is the change of excitation frequency, i.e. resonant frequency of the device, voltages applied to the piezoelectric actuators composing the device, and electric currents flowing through the actuators. These internal data change automatically in the elliptical vibration control system in order to keep a constant elliptical vibration against the change of the cutting process. Correlativity between the process and the internal data is described by using a vibration model of ultrasonic elliptical vibration cutting and verified by several experiments, i.e. planing and mirror surface finishing of hardened die steel carried out with single crystalline diamond tools. As a result, it is proved that it is possible to estimate the elements of elliptical vibration cutting process, e.g. tool wear and machining load, which are important for stable cutting in such precision machining.

• 한국멀티미디어학회논문지
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• 제12권9호
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• pp.1242-1251
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• 2009

유비쿼터스 환경에서 데이터 스트림 관리 시스템(Data Stream Management System: DSMS)은 수많은 센서로부터 생성되는 대량의 데이터 스트림을 처리한다. 기존의 시스템은 처리 능력 이상의 데이터 스트림이 입력되면 데이터의 일부를 제거하여 적정 부하를 유지하는 부하 제한 기법(Load Shedding)을 사용한다. 부하 제한 기법은 입력되는 데이터의 일부를 의도적으로 손실하여 데이터 완전도(Data Completeness)가 감소하기 때문에 처리 결과의 신뢰도 또한 감소한다. 따라서 본 논문에서는 시스템 처리 능력 이상의 데이터 스트림 입력 시 데이터 완전도 보장을 위한 과부하 예측 부하 분산 기법을 제안한다. 제안 기법은 데이터 손실이 예상되는 부하 시점을 미리 예측하고 예측된 부하 시점에 도달 시 부하를 분산하여 데이터 손실을 감소시킨다. 본 논문에서는 기존의 부하 제한 기법과의 비교 실험을 통해 제안 기법의 성능을 평가한다.

• 전기학회논문지
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• 제57권11호
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• pp.2080-2085
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• 2008

KEPCO's AMR (Automatic Meter Reading) is a system that performs the real-time inspection and management of the 15-minute load profile of electric power consumption through a wired and/or wireless network such as CDMA. It has been utilized widely for real-time collection and data analysis. So far, KEPCO has focused on establishing wireless networks using CDMA and collecting data in real time but failed to consider sufficiently performances that can improve the quality of the original data required in terms of data utilization as well as establish the summary information. In this paper, we are going to show the functions that improve data quality by recording the final renewal time of any erroneous data and maintaining such data lists to use them in the rebuilding of summary information. The goals are to reduce any load applied mainly on the DBMS (Database Management System) of AMR, to enable the real-time performance of establishment in the summary information, and to obtain high-quality inspection data. The performance evaluation result has revealed a 10-fold improvement compared to the traditional disk-based DBMS system when the summary information is established.

• KIEE International Transactions on Power Engineering
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• 제2A권4호
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• pp.136-144
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• 2002

Load models are very important for improving the accuracy of stability analysis and load flow studies. Various loads are connected to a power bus and their characteristics of power consumption change with voltage and frequency. Thus, the effect of voltage/frequency changes must be considered in load modeling. In this work, artificial neural networks-ANNs- were used to construct the component load models for more accurate modeling. A typical residential load was selected and subjected to a test under variable voltage/frequency conditions. Acquired data were used to construct component models by ANNs. The aggregation process of separately determined load models is also presented in the paper. Furthermore, this paper proposes a method to transform a single load model constructed by the aggregation method into a mathematical load model that can be used in traditional power system analysis software.

• 대한조선학회논문집
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• 제56권2호
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• pp.143-151
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• 2019

This study describes a method for analyzing log data generated in a process using process mining techniques. A system for collecting and analyzing a large amount of log data generated in the process of manufacturing an offshore plant piping material was constructed. The analyzed data was visualized through various methods. Through the analysis of the process model, it was evaluated whether the process performance was correctly input. Through the pattern analysis of the log data, it is possible to check beforehand whether the problem process occurred. In addition, we analyzed the process performance data of partner companies and identified the load of their processes. These data can be used as reference data for pipe production allocation. Real-time decision-making is required to cope with the various variances that arise in offshore plant production. To do this, we have built a system that can analyze the log data of real - time system and make decisions.

• 대한기계학회논문집
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• 제18권5호
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• pp.1117-1125
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• 1994

A UBET program is developed for determining the optimum sizes of preform of a rib-web part in axisymmetric closed-die forging. The program consists of forward and backward tracing processes. In forward process, material flow, degree of die filling, and forging load are predicted. In backward tracing process, the optimum dimensions of initial billet and preform are determined from the final-shape data without flash. The above program is easy to handle input data with and is convenient to visualize the whole process of closed-die forging with. Experiments are carried out with pure plasticine billets at room temperature. The theoretical predictions of the forging load and the flow pattern are in good agreement with the experimental results.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제20권4호
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• pp.305-319
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• 2017

삼각형 높이를 찾는 과정에서 눈 움직임 데이터를 통해 학생들의 삼각형 높이에 대한 이해와 그에 대한 삼각형 유형별, 배치별 인지부하 알아보고자 하였다. 6학년 26명 학생들을 대상으로 콘텐츠를 활용한 수업을 진행하고, 사전 사후검사를 실시하였다. 그 결과 삼각형 높이에 대한 삼각형 유형별, 배치별 문항에서 사전 검사에 대해 사후검사에서 정답률이 크게 상승하였으며, 아울러 각 문항별 AOI(Area of Interest)에서 시선 데이터의 빈도(FC)와 머무름(FD)이 사후검사에서 더 적게 나타났다. 주관적 인지부하는 밑변이 지면에 평행한 삼각형 보다는 회전된 삼각형 배치에서 더 높게 나타났으며, 시선 추적 데이터에서는 직각삼각형과 예각삼각형의 회전 배치된 쪽에서 더 많은 빈도와 더 많은 머무름이 감지되었다. 이를 통해 시선추적 기술은 교수설계의 피드백을 위한 학생들의 인지적 부하의 객관적인 측정을 제공할 수 있음을 알 수 있었다.

• Advances in concrete construction
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• 제3권2호
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• pp.91-102
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• 2015

In this paper, the load-deflection analysis of the Carbon Fiber Reinforced Polymer (CFRP) strengthened Reinforced Concrete (RC) slab using Recurrent Neural Network (RNN) is investigated. Six reinforced concrete slabs having dimension $1800{\times}400{\times}120mm$ with similar steel bar of 2T10 and strengthened using different length and width of CFRP were tested and compared with similar samples without CFRP. The experimental load-deflection results were normalized and then uploaded in MATLAB software. Loading, CFRP length and width were as neurons in input layer and mid-span deflection was as neuron in output layer. The network was generated using feed-forward network and a internal nonlinear condition space model to memorize the input data while training process. From 122 load-deflection data, 111 data utilized for network generation and 11 data for the network testing. The results of model on the testing stage showed that the generated RNN predicted the load-deflection analysis of the slabs in acceptable technique with a correlation of determination of 0.99. The ratio between predicted deflection by RNN and experimental output was in the range of 0.99 to 1.11.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 추계학술대회논문집A
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• pp.206-211
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• 2000

The accelerated testing technique using the equivalent load condition plays an important part in development process. However, in the industrial field, the theoretical background and advantages of this accelerated testing technique have been lack of understanding. Because the environmental durability condition forms the foundation of the accelerated testing technique, it is important to analyze the loading components and damage in service environment. In this work, we present the theoretical background and process for accelerated testing, and introduce our accelerated equivalent load analysis program. We developed the GUI program, and the user can easily obtain the result by selecting the program module.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 춘계학술대회 논문집 전력기술부문
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• pp.201-205
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• 2001

This paper presents the load modeling process and bus load models for KEPCO power system. At first, load devices commonly used in KEPCO power systems were selected, and tested for measuring the voltage and frequency sensitivity of active and reactive power. From this test, about 40 voltage and frequency dependent load models have been obtained. The bus load composition rate for KEPCO power system has been determined using the various recent surveys and papers in order to develop the load model for a power system bus. To verify the accuracy of developed bus load models, the field test for measuring active and reactive power according to artificial variation of the bus voltage was performed at 8 substations for spring summer, autumn, winter cases. With data of this seasonal field test, more reliable bus load models for KEPCO power systems were developed.