• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.819-833
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• 2013

Computing global features based on local features using a bio-inspired framework has shown promising performance. However, for some tough applications with large intra-class variances, a single local feature is inadequate to represent all the attributes of the images. To integrate the complementary abilities of multiple local features, in this paper we have extended the efficacy of the bio-inspired framework, HMAX, to adapt heterogeneous features for global feature extraction. Given multiple global features, we propose an approach, designated as parameterized metric learning, for high dimensional feature fusion. The fusion parameters are solved by maximizing the canonical correlation with respect to the parameters. Experimental results show that our method achieves significant improvements over the benchmark bio-inspired framework, HMAX, and other related methods on the Caltech dataset, under varying numbers of training samples and feature elements.

• Journal of Computing Science and Engineering
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• 제8권1호
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• pp.34-42
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• 2014

Time-predictability of computing is critical for hard real-time and safety-critical systems. However, currently there is no metric available to quantitatively evaluate time-predictability, a feature crucial to the design of time-predictable processors. This paper first proposes the concept of architectural time-predictability, which separates the time variation due to hardware architectural/microarchitectural design from that due to software. We then propose the standard deviation of clock cycles per instruction (CPI), a new metric, to measure architectural time-predictability. Our experiments confirm that the standard deviation of CPI is an effective metric to evaluate and compare architectural time-predictability for different processors.

• International Journal of Internet, Broadcasting and Communication
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• 제9권1호
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• pp.72-80
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• 2017

In this work, an efficient transmit antenna selection approach for the quadrature spatial modulation (QSM) systems is proposed. The conventional Euclidean distance antenna selection (EDAS)-based schemes in QSM have too high computational complexity for practical use. The proposed antenna selection algorithm is based on approximation of the EDAS decision metric employed for QSM. The elimination of imaginary parts in the decision metric enables decoupling of the approximated decision metric, which enormously reduces the complexity. The proposed method is also evaluated via simulations in terms of symbol error rate (SER) performance and compared with the conventional EDAS methods in QSM systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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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.

• 품질경영학회지
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• 제29권1호
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• pp.47-61
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• 2001

The ever increasing demands for enhanced competitiveness of engineered products require a "designing-in-quality" strategy that can effectively and efficiently incorporate multiple design objectives into design. Robust design can be viewed as a multi-characteristic design problem requiring tradeoffs between mean and variance characteristics. Firstly this paper analyzes the intrinsic preference of the traditional SN ratio on mean and variance, and secondly presents a new design metric for a robust design using concepts from utility theory to accurately capture designer′s intent and preference on mean and variance. The steps to apply the proposed design metric as the robust design criterion in an orthogonal array based engineering experimentation is presented with the aid of a demonstrative case study. The performance of the proposed design metric is tested, and the results are discussed.

• 정보처리학회논문지A
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• 제15A권3호
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• pp.167-180
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• 2008

가상화 시스템은 시스템 활용률을 높이는 반면, 추가된 가상화 계층으로 인해 응용 프로그램의 성능 저하를 가져오므로, 본 논문에서는 두 가지 측면을 모두 고려하여 비 가상화 시스템과 성능을 비교할 수 있도록 하는 가상화 시스템의 성능평가 방법을 제안하였다. 가상화 시스템과 비 가상화 시스템을 비교할 수 있는 성능 비교 지표(metric)로 통합작업처리량 대비 시스템 낭비율을 정의하고, 가상화 시스템과 비 가상화 시스템에서 각각 시스템 낭비율과 통합작업처리량을 구할 수 있는 방법을 제시하였다. 또한 제안한 성능 평가 방법을 이용하여 다양한 응용 프로그램들을 운영하는 가상화 시스템과 비 가상화 시스템의 성능을 비교함으로써 본 연구에서 제시하는 가상화 시스템의 성능평가 방법이 적합함을 보이고, 더불어 응용 프로그램의 서로 다른 특성이 가상화 시스템에 미치는 영향을 분석하였다.

• 한국전자거래학회지
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• 제23권3호
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• pp.1-12
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• 2018

혼합 중요도 시스템은 중요도가 다른 컴포넌트의 조합으로 이루어져 있다. 최근 자동차 시스템과 항공기 시스템에서 사용되는 ISO 26262와 DO-178B 표준에서는 컴포넌트를 중요도에 따라 분류하고 있다. 기존 혼합 중요도 시스템 연구에서는 시스템 모드를 통해서, 효율적이면서 안전한 스케줄링을 추구했다. 이러한 연구의 단점은 고중요도 모드에서 저중요도 작업의 성능저하이다. 이러한 문제를 개선하고자 작업별 중요도 모드를 도입하여 저중요도 작업의 성능을 개선하고 확률적 성능 지표를 설계했다. 시뮬레이션을 통해서 기존 연구 대비 성능 향상 효과를 보였다.

• 수산해양기술연구
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• 제59권2호
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• pp.110-116
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• 2023

In this study, samples of sea anchor canopy cloth mainly used in Korean jigging fishing vessels were collected and tested for performance evaluation. The canopy cloth of sea anchor is a basic element of form composition that is known to have the greatest influence on anchor performance. In order to evaluate the performance of sea anchor canopy cloth, five types of samples were tested for new metric count, tensile strength, water vapour transmission rate and drying speed according to the national standard (KS), and some correlations were identified. As a result of the test, the new metric count of cloths was 335.5-443.4 denier in warp and 217-447.6 denier in weft, and the minimum tensile strength was 860 N in warp direction and 430 N in weft direction. The apparent number and tensile strength of cloth were proportional, the water vapour transmission rate of the sample was 206.8 g/m²h, and the drying speed was 90-100 min. This study partially confirmed the performance evaluation based on speculation by the standard test method, and further research is needed on the clear relationship between the research results and the performance of the sea anchor.

• 한국통신학회논문지
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• 제36권11C호
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• pp.655-661
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• 2011

다양한 네트워크 환경에서 적응적인 서비스 품질을 제공할 수 있는 H.264 SVC 전송에 대한 연구가 활발하다. 본 논문은 H.264 SVC의 무기준법 객관적 화질 평가 방법으로서, H.264 SVC의 계층성을 이용한 품질 평가 지표를 제안한다. 제안하는 지표는 패킷 손실의 위치에 따라 움직임 벡터, 계층적 예측 구조에 의한 에러 전파 패턴, 양자화 파라미터, 영향을 받은 영상프레임 수 등 에러를 반영한 인지적 화질 평가를 예측한다. 제안하는 품질평가 지표는 사람의 인지적인 영상 품질을 반영한 객관적 지표이며 이 지표를 주관적 화질평가 결과인 DMOS와의 상관관계를 통해 성능을 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.742-762
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• 2015

In this study, we propose a distance metric learning approach called discriminant metric learning (DML) for face verification, which addresses a binary-class problem for classifying whether or not two input images are of the same subject. The critical issue for solving this problem is determining the method to be used for measuring the distance between two images. Among various methods, the large margin nearest neighbor (LMNN) method is a state-of-the-art algorithm. However, to compensate the LMNN's entangled data distribution due to high levels of appearance variations in unconstrained environments, DML's goal is to penalize violations of the negative pair distance relationship, i.e., the images with different labels, while being integrated with LMNN to model the distance relation between positive pairs, i.e., the images with the same label. The likelihoods of the input images, estimated using DML and LMNN metrics, are then weighted and combined for further analysis. Additionally, rather than using the k-nearest neighbor (k-NN) classification mechanism, we propose a verification mechanism that measures the correlation of the class label distribution of neighbors to reduce the false negative rate of positive pairs. From the experimental results, we see that DML can modify the relation of negative pairs in the original LMNN space and compensate for LMNN's performance on faces with large variances, such as pose and expression.