• Title/Summary/Keyword: Evaluation of Performance Parameter

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A Study on the Definition Method for Integrated Development Project using QFD (QFD를 활용한 통합된 개발프로젝트 정의 방법 연구)

  • Kim, Jin Hoon;Park, Young Won
    • Journal of the Korean Society of Systems Engineering
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    • v.8 no.1
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    • pp.63-75
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    • 2012
  • For the definition of development project, this paper proposes an integrated design model for the project 3P's(Products, Process, and People) architecture solutions balancing the originating requirements as well as the design targets of product, process, and IPDT. The model is suggested to develop the integrated design method with trade-off analysis and alternatives evaluation of products, processes, and IPDT using QFD.

Combustion Experiment Measurement Uncertainty for Hybrid Rocket Motor (하이브리드 로켓 모터에 대한 연소 실험 측정 불확도)

  • Kim, Soo-Jong;Moon, Hee-Jang;Kim, Jin-Kon
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.1
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    • pp.7-14
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    • 2011
  • In this study, the measurement uncertainty of combustion experimental system and experimental parameters for hybrid rocket were evaluated by B type evaluation method. The measurement uncertainty of all experimental parameters was lower than 3%. The highest value of expanded uncertainty was characteristic velocity efficiency with 2.83% and the expanded uncertainty of regression rate which is the design and performance parameter was indicated to 0.03%. These results shown that the reliability of hybrid combustion system was located within allowed limits.

Lightweight Quality Metric Based on No-Reference Bitstream for H.264/AVC Video

  • Kim, Yo-Han;Shin, Ji-Tae;Kim, Ho-Kyom
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.5
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    • pp.1388-1399
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    • 2012
  • This paper proposes a quality metric based on a No-Reference Bitstream (NR-B) having least computational complexity for the assessment of the human-perceptual quality of H.264 encoded video. The proposed NR-B method performs a modeling of encoding distortion with three bit-stream information (i.e. frame-rate, motion-vector, and quantization-parameter) that can be directly extractable from the encoded bitstream and does not require additional complex processing of final pictures. From performance evaluation using 165 compressed video sequences, the experiment results show that the proposed metric has a higher correlation with subjective quality than is achieved with other comparable methods.

Comparison and Evaluation of Performance for Standard Control Limits and Bootstrap Percentile Control Limits in $\bar{x}$ Control Chart ($\bar{x}$ 관리도의 표준관리한계와 부트스트랩 백분률 관리한계의 수행도 비교평가)

  • 송서일;이만웅
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.347-354
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    • 1999
  • Statistical Process Control(SPC) which uses control charts is widely used to inspect and improve manufacturing process as a effective method. A parametric method is the most common in statistical process control. Shewhart chart was made under the assumption that measurements are independent and normal distribution. In practice, this assumption is often excluded, for example, in case of (equation omitted) chart, when the subgroup sample is small or correlation, it happens that measured data have bias or rejection of the normality test. A bootstrap method can be used in such a situation, which is calculated by resampling procedure without pre-distribution assumption. In this study, applying bootstrap percentile method to (equation omitted) chart, it is compared and evaluated standard process control limit with bootstrap percentile control limit. Also, under the normal and non-normal distributions, where parameter is 0.5, using computer simulation, it is compared standard parametric with bootstrap method which is used to decide process control limits in process quality.

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Performance Evaluation of Class I SPD Using $10/350{\mu}s$ Surge Current ($10/350{\mu}s$ 서지전류를 이용한 I 등급 SPD의 성능평가)

  • Cho, Sung-Chul;Eom, Ju-Hong;Lee, Tae-Hyung
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1466-1467
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    • 2007
  • A new parameter W/R for the class I test have been introduced in the IEC 61643-1 published in 2005. One of the possible test impulses which meets the parameters for class I test is the 10/350 [${\mu}s$] waveshape proposed in IEC61312-1. 10/350 [${\mu}s$] waveshape meets parameters for class I test in the IEC 61643-1. The impulse generator for making the 10/350 [${\mu}s$] waveshape is consist of IVG, ICG, crowbar coil and crowbar switch. The electric change Q and the specific energy W/R were measured and calculated using the exclusive use measuring software according to the formula of IEC 611643-1. We verified the correspondence between measured results using impulse generator and recommended parameters by IEC 61643-1.

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Recent Trend of Reliability Activities for Military Systems (군장비 신뢰성활동의 최근 동향)

  • Kim, Chul
    • Journal of Applied Reliability
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    • v.7 no.3
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    • pp.111-118
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    • 2007
  • In 2000, US Army Test and Evaluation Command (ATEC) released the status of reliability requirement levels and achievements for the military equipment which evaluated through the operational tests from 1985 to 1990 and from 1996 to 2000. The rates of military equipments that do not meet reliability requirements are 59% from 1985 to 1990 and 80% from 1996 to 2000. Thus, the US Army has figured out causes, taken steps and put them into practice, This paper is about the recent reliability problems and the latest tendency about US military equipment to acquirere liability level.

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Evaluation of Structural Capacity for Concrete Beams Reinforced Simultaneously with GFRP and Steel rebar (GFRP와 철근 보강근으로 복합 휨보강된 보 시험체의 구조성능 평가)

  • Sim, Jong-Sung;Park, Cheol-Woo;Oh, Hong-Seob;Ju, Min-Kwan;Lim, Jun-Hyun
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05a
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    • pp.518-521
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    • 2006
  • The purpose of this study is to evaluate structural performance of concrete beam reinforced simultaneously with GFRP and steel rebar. Because the GFRP has lower elastic modulus than steel or CFRP, serviceability for concrete structure can be an issue. According to the test result, the hybrid reinforced specimen showed better stiffness improvement than the specimen reinforced with only GFRP rebar. From an additional research on design parameter and reliability analysis, the field adaptability can be proved.

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Voice conversion using low dimensional vector mapping (낮은 차원의 벡터 변환을 통한 음성 변환)

  • Lee, Kee-Seung;Doh, Won;Youn, Dae-Hee
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.4
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    • pp.118-127
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    • 1998
  • In this paper, we propose a voice personality transformation method which makes one person's voice sound like another person's voice. In order to transform the voice personality, vocal tract transfer function is used as a transformation parameter. Comparing with previous methods, the proposed method can obtain high-quality transformed speech with low computational complexity. Conversion between the vocal tract transfer functions is implemented by a linear mapping based on soft clustering. In this process, mean LPC cepstrum coefficients and mean removed LPC cepstrum modeled by the low dimensional vector are used as transformation parameters. To evaluate the performance of the proposed method, mapping rules are generated from 61 Korean words uttered by two male and one female speakers. These rules are then applied to 9 sentences uttered by the same persons, and objective evaluation and subjective listening tests for the transformed speech are performed.

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Performance Evaluation: Parameter Sharding approaches for DNN Models with a Very Large Layer (불균형한 DNN 모델의 효율적인 분산 학습을 위한 파라미터 샤딩 기술 성능 평가)

  • Choi, Ki-Bong;Ko, Yun-Yong;Kim, Sang-Wook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.881-882
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    • 2020
  • 최근 딥 러닝 (deep learning) 기술의 큰 발전으로 기존 기계 학습 분야의 기술들이 성공적으로 해결하지 못하던 많은 문제들을 해결할 수 있게 되었다. 이러한 딥 러닝의 학습 과정은 매우 많은 연산을 요구하기에 다수의 노드들로 모델을 학습하는 분산 학습 (distributed training) 기술이 연구되었다. 대표적인 분산 학습 기법으로 파라미터 서버 기반의 분산 학습 기법들이 있으며, 이 기법들은 파라미터 서버 노드가 학습의 병목이 될 수 있다는 한계를 갖는다. 본 논문에서는 이러한 파라미터 서버 병목 문제를 해결하는 파라미터 샤딩 기법에 대해 소개하고, 각 기법 별 학습 성능을 비교하고 그 결과를 분석하였다.

Noise Reduction Using MMSE Estimator-based Adaptive Comb Filtering (MMSE Estimator 기반의 적응 콤 필터링을 이용한 잡음 제거)

  • Park, Jeong-Sik;Oh, Yung-Hwan
    • MALSORI
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    • no.60
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    • pp.181-190
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    • 2006
  • This paper describes a speech enhancement scheme that leads to significant improvements in recognition performance when used in the ASR front-end. The proposed approach is based on adaptive comb filtering and an MMSE-related parameter estimator. While adaptive comb filtering reduces noise components remarkably, it is rarely effective in reducing non-stationary noises. Furthermore, due to the uniformly distributed frequency response of the comb-filter, it can cause serious distortion to clean speech signals. This paper proposes an improved comb-filter that adjusts its spectral magnitude to the original speech, based on the speech absence probability and the gain modification function. In addition, we introduce the modified comb filtering-based speech enhancement scheme for ASR in mobile environments. Evaluation experiments carried out using the Aurora 2 database demonstrate that the proposed method outperforms conventional adaptive comb filtering techniques in both clean and noisy environments.

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