• Title/Summary/Keyword: 예측성능 개선

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Gaussian Interpolation GPSAM Method to Overcome Fast Fading in High Speed Mobile Environments (고속 모바일 환경에서 fast 페이딩 극복을 위한 가우시안 보간 GPSAM 기법)

  • Kim, Jeong-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.7
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    • pp.3482-3486
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    • 2013
  • In the case of the Pilot Symbol Assisted Modulation (PSAM) method predicting and compensating amplitude and phases caused on fading channels, there can be severe performance deterioration by Doppler spread on fast fading channels. In this paper, the fading compensation method suggested so as to improve occurring problems as well as analyze them. Doppler spread is the major cause of the bit error rate(BER) performance deterioration. Compared to the existing PSAM method, the more performance deterioration occurs, the larger Doppler spread appears but performance shows well its less $10^{-2}BER$ performance than the existing PSAM method in the suggested method whereas the existing PSAM method has about $10^{-1}BER$ its considerable performance deterioration that caused by Doppler spread within a symbol cycle with the level of delay wave interference.

Study of Cooling Performance Enhancement on Injector Face Plate of Rocket Engine (로켓엔진 분사면의 냉각성능 향상에 관한 연구)

  • Cho Won Kook;Seol Woo Seok
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • v.y2005m4
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    • pp.215-218
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    • 2005
  • An optimal fuel manifold is suggested to improve the cooling performance of injector face plate. The cooling performance at the center area of the injector face plate is to be augmented while the spatial injection uniformity is maintained. The comparison of the cooling performance of 7 candidates gives the conclusion that the dividing plate from 2-3 injector row to 9-10 injector row is an optimal. The maximum face plate temperature decreases by $27\%$ while the injection uniformity is close to that of the original design. The pressure drop in the fuel manifold of the optimal design is also same as the original design.

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Optimum Parameter Design for Defibrillator (제세동기 최적 파라미터 설계)

  • Yoon, H.Y.;Ko, H.W.
    • Journal of Sensor Science and Technology
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    • v.6 no.3
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    • pp.245-251
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    • 1997
  • In designing defibrillator, several parameters such as patient's transthoracic impedance, output energy level, peak current, and time duration of current waveform must be considered to generate optimum electrical shocks on the heart. Patient's transthoracic impendence depends on the physical and health condition of patient. In this study, before the development of a defibrillator, the range of above parameters value as circuit elements was determined to derive optimal waveform by predicting and analyzing the performance of designed circuit by means of simulation with the software, P-Spice. The efficiency of parameter design was verified through the performance test with the developed defibrillator.

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Cooling Performance Enhancement of a Rocket Engine Injector Face Plate (로켓엔진 분사면의 냉각성능 향상)

  • Cho Won Kook;Seol Woo Seok
    • Journal of the Korean Society of Propulsion Engineers
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    • v.9 no.3
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    • pp.92-100
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    • 2005
  • An optimal fuel manifold is suggested to improve the cooling performance of an injector face plate. The cooling performance at the center area of the injector face plate is to be augmented while the spatial injection uniformity is maintained. The comparison of the cooling performance of f candidates gives the conclusion that the dividing plate from 2-3 injector .ow to 9-10 injector. row is an optimal. The maximum face plate temperature decreases by 27$\%$ while the injection uniformity is close to that of the original design. The pressure drop in the fuel manifold of the optimal design is also same as the original design.

A Strategy for Neighborhood Selection in Collaborative Filtering-based Recommender Systems (협력 필터링 기반의 추천 시스템을 위한 이웃 선정 전략)

  • Lee, Soojung
    • Journal of KIISE
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    • v.42 no.11
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    • pp.1380-1385
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    • 2015
  • Collaborative filtering is one of the most successfully used methods for recommender systems and has been utilized in various areas such as books and music. The key point of this method is selecting the most proper recommenders, for which various similarity measures have been studied. To improve recommendation performance, this study analyzes problems of existing recommender selection methods based on similarity and presents a method of dynamically determining recommenders based on the rate of co-rated items as well as similarity. Examination of performance with varying thresholds through experiments revealed that the proposed method yielded greatly improved results in both prediction and recommendation qualities, and that in particular, this method showed performance improvements with only a few recommenders satisfying the given thresholds.

Development of water distribution systems performance evaluation framework using machine learning technique (머신러닝을 이용한 상수도시스템 성능평가 프레임워크 개발)

  • Min Jun Kim;Ryul Kim;Hui Geun Kwon;Young Hwan Choi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.204-204
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    • 2023
  • 2020년 상수도 통계에 따르면 전국 상수도 보급률은 약 99% 정도로 높은 수치를 기록하고 있으나 노후관으로 인한 관로파손 및 수질사고로 인해 효과적인 운영에는 많은 어려움이 존재한다. 이러한 문제를 해결하기 위해 기술진단 및 정밀안전진단 등 체계적인 유지관리 규정이 도입되었으며 적용되고 있으며, 이때 시스템의 정량적인 성능평가를 위해 간접평가와 직접평가로 구성된 점수평가법이 적용되었다. 간접평가는 지중에 매설된 관로를 대상으로 매설연도, 관경, 관로연장 등의 노후도인자를 통해 관의 노후도를 추정하고 간접평가 결과 3등급으로 판명되는 관로의 경우 객관적인 관의 상태를 평가하기 위해 시편채취 및 관로 내시진단 등의 직접평가가 수행된다. 하지만 관로의 직접평가는 간접평가결과 3등급의 모든 관로에 대해 수행하기에는 진단비용 및 시간 등 제약조건에 따라 모든 지점에 대한 직접평가 수행에는 한계가 있다. 따라서, 본 연구에서는 이러한 관로 성능평가 기법의 한계를 개선하기 위해 상수도시스템 통합평가 기술을 개발하였다. 개발한 기술은 머신러닝 기법을 적용하여 간접평가 및 직접평가 결과를 토대로 직접평가가 필요한 지점의 결과를 예측하였다. 이를 바탕으로 상수도시스템 평가성능 향상 및 보강 우선순위 선정 단계에서 의사결정권자의 판단에 도움이 될 것으로 판단된다.

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Performance Improvement of Traffic Signal Lights Recognition Based on Adaptive Morphological Analysis (적응적 형태학적 분석에 기초한 신호등 인식률 성능 개선)

  • Kim, Jae-Gon;Kim, Jin-soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.9
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    • pp.2129-2137
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    • 2015
  • Lots of research and development works have been actively focused on the self-driving vehicles, locally and globally. In order to implement the self-driving vehicles, lots of fundamental core technologies need to be successfully developed and, specially, it is noted that traffic lights detection and recognition system is an essential part of the computer vision technologies in the self-driving vehicles. Up to nowadays, most conventional algorithm for detecting and recognizing traffic lights are mainly based on the color signal analysis, but these approaches have limits on the performance improvements that can be achieved due to the color signal noises and environmental situations. In order to overcome the performance limits, this paper introduces the morphological analysis for the traffic lights recognition. That is, by considering the color component analysis and the shape analysis such as rectangles and circles simultaneously, the efficiency of the traffic lights recognitions can be greatly increased. Through several simulations, it is shown that the proposed method can highly improve the recognition rate as well as the mis-recognition rate.

A Numerical Study on Performance Improvement of Canopy Hood in Melting Process (용해공정의 캐노피 후드 성능 개선에 관한 수치 해석적 연구)

  • Jung, Yu-Jin;Shon, Byung-Hyun;Lee, Sang-Man;Jung, Jong-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1519-1526
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    • 2013
  • This study reviewed the capturing performance of a canopy hood used in some melting processes of a casting manufacturing factory through a site survey. In addition, this study compared and evaluated the flow field and pressure field for the plans to enhance the hazardous air pollutants collection capacity by using CFD model. The case-2(flange attached + double hood) can be improved in terms of collection performance, but is expected to increase in hood static pressure by about 70% more than the existing structure, so it was shown that its site applicability is not good. It is judged that the shape of case-3(flange attached + double cone attached) is most suitable to improve the suction efficiency. This is because a double cone is installed at the center of the opening to concentrate the flow rate on the edge of the hood and control the hume rising to the center of the hood without a static pressure rise via the slope of the cone.

Performance Improvement of Image-to-Image Translation with RAPGAN and RRDB (RAPGAN와 RRDB를 이용한 Image-to-Image Translation의 성능 개선)

  • Dongsik Yoon;Noyoon Kwak
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.131-138
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    • 2023
  • This paper is related to performance improvement of Image-to-Image translation using Relativistic Average Patch GAN and Residual in Residual Dense Block. The purpose of this paper is to improve performance through technical improvements in three aspects to compensate for the shortcomings of the previous pix2pix, a type of Image-to-Image translation. First, unlike the previous pix2pix constructor, it enables deeper learning by using Residual in Residual Block in the part of encoding the input image. Second, since we use a loss function based on Relativistic Average Patch GAN to predict how real the original image is compared to the generated image, both of these images affect adversarial generative learning. Finally, the generator is pre-trained to prevent the discriminator from being learned prematurely. According to the proposed method, it was possible to generate images superior to the previous pix2pix by more than 13% on average at the aspect of FID.

A Three-dimensional Numerical Weather Model using Power Output Predict of Distributed Power Source (3차원 기상 수치 모델을 이용한 분산형 전원의 출력 예)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol
    • Journal of Convergence Society for SMB
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    • v.6 no.4
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    • pp.93-98
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    • 2016
  • Recently, the project related to the smart grid are being actively studied around the developed world. In particular, the long-term stabilization measures distributed power supply problem has been highlighted. In this paper, we propose a three-dimensional numerical weather prediction models to compare the error rate information which combined with the physical models and statistical models to predict the output of distributed power. Proposed model can predict the system for a stable power grid-can improve the prediction information of the distributed power. In performance evaluation, proposed model was a generation forecasting accuracy improved by 4.6%, temperature compensated prediction accuracy was improved by 3.5%. Finally, the solar radiation correction accuracy is improved by 1.1%.