• 융합보안논문지
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• 제15권2호
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• pp.57-62
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• 2015

IP QoS는 인터넷 트래픽의 폭증을 수익으로 연결시키기 위해 기존의 Best Effort Service의 한계를 극복하는 것이 필수이다. 차세대 통신망의 필수요건으로 IP QoS는 매우 중요하다. 그러나, IP망은 QoS 보다는 유연성과 확장성에 초점을 맞추어 발전해왔다. 따라서, IP망에 QoS를 적용하기 위해 기존 IP 기술에 여러가지 품질확보를 위한 조치가 필요하다. 접속품질과 전송품질을 기반으로 한 IP QoS(Quality of Service) 품질 메트릭스를 정립 한다면 통신품질 저해요인을 분석하여 객관적인 자료를 얻을 수 있다. 통신품질 수준을 파악하면 품질 취약지역 및 품질 저해요인을 분석할 수 있다. 효율적인 품질 메트릭스 정립은 문제점에 대한 품질개선으로 통화품질 향상을 통한 고객 만족도를 증진효과를 기대할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4043-4064
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• 2021

Night-time image quality evaluation is an urgent requirement in visual inspection. The lighting environment of night-time results in low brightness, low contrast, loss of detailed information, and colour dissonance of image, which remains a daunting task of delicately evaluating the image quality at night. A new blind quality assessment metric is presented for realistic night-time scenario through a comprehensive consideration of contrast, texture, and colour in this article. To be specific, image blocks' color-gray-difference (CGD) histogram that represents contrast features is computed at first. Next, texture features that are measured by the mean subtracted contrast normalized (MSCN)-weighted local binary pattern (LBP) histogram are calculated. Then statistical features in Lαβ colour space are detected. Finally, the quality prediction model is conducted by the support vector regression (SVR) based on extracted contrast, texture, and colour features. Experiments conducted on NNID, CCRIQ, LIVE-CH, and CID2013 databases indicate that the proposed metric is superior to the compared BIQA metrics.

• Journal of Ecology and Environment
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• 제36권1호
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• pp.73-83
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• 2013

The object of this study was to evaluate lotic ecosystem health using multiple eco-metric approaches such as water chemistry diagnosis, physical habitat health evaluations, and biological integrity modeling at 100 streams of four major watersheds. For the study, eight chemical water quality parameters such as nutrients (N, P) and organic material were measured and 11-metric models of Qualitative Habitat Evaluation Index (QHEI) and multiple eco-metric health assessment model (MEHA) were applied to the four major watershed. Nutrient analysis of nitrogen (N) and phosphorus (P) in all watersheds indicated a eutrophic state depending on the locations of sampling streams. Physical habitat health, based on the QHEI model, averaged 114 (range: 56 - 194), judging as a "good condition" by the criteria of Plafkin et al. (1989). In addition, primary (H1 - H4), secondary (H5 - H7), and tertiary habitat metric variables (H8 - H11) were analyzed in relation to the physical habitat degradations. The plots of tolerant species ($P_{TS}$) and sensitive species ($P_{SS}$) to water quality showed that the proportions of $P_{TS}$ had positive linear functions with nutrients, and that the $P_{SS}$ had inverse linear relations with the chemical variables. The model of eco-metric health assessment showed that mean MEHA was 20.4, indicating a fair condition. Overall, our data suggest that water chemistry, based on nutrients and organic matter, directly modified the trophic structures in relation to food chain in the aquatic ecosystems, and then these directly influenced the compositions of tolerance/sensitive species, resulting in degradations of overall ecological health.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.288-307
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• 2016

Image distortions are typically characterized by degradations of structures. Dictionaries learned from natural images can capture the underlying structures in images, which are important for image quality assessment (IQA). This paper presents a general-purpose no-reference image quality metric using a GRadient-Induced Dictionary (GRID). A dictionary is first constructed based on gradients of natural images using K-means clustering. Then image features are extracted using the dictionary based on Euclidean-norm coding and max-pooling. A distortion classification model and several distortion-specific quality regression models are trained using the support vector machine (SVM) by combining image features with distortion types and subjective scores, respectively. To evaluate the quality of a test image, the distortion classification model is used to determine the probabilities that the image belongs to different kinds of distortions, while the regression models are used to predict the corresponding distortion-specific quality scores. Finally, an overall quality score is computed as the probability-weighted distortion-specific quality scores. The proposed metric can evaluate image quality accurately and efficiently using a small dictionary. The performance of the proposed method is verified on public image quality databases. Experimental results demonstrate that the proposed metric can generate quality scores highly consistent with human perception, and it outperforms the state-of-the-arts.

• 한국통신학회논문지
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• 제35권1B호
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• pp.27-34
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• 2010

인터넷 음성통신은 이용영역이 무선통신 환경으로 이동함에 따라 유선 통신을 이용할 때와 비교하여 전송 중 더 높은 패킷 손실을 직면하게 된다. 따라서 적정 수준의 통화품질을 보장해줄 수 없을 상황도 고려할 수 밖에 없다. 이런 상황에서 이동 VoIP 서비스의 실시간 품질 추적이 중요한 기술 요소로 대두되었다. 이 논문에서는 두 가지 요인 즉, 평균적인 패킷 분실 정도와 패킷 손실의 뭉침 정도가 인간이 인지하는 통화 품질에 미치는 영향을 연구한다. 또 이 두 요인을 실시간으로 측정할 수 있는 '이동 평균' 방식을 제안한다. 이 이동평균 방식에 따라 실시간으로 측정된 두 요소로 통화품질을 추정할 경우에 얼마나 정확하게 추정가능한지를 확인하기 위하여, 이 논문에서는 기존에 나와 있는 비 실시간 품질 측정 도구를 이용하여 측정한 품질 추정 값과 이동평균 방식으로 측정한 두 요소에 의한 통화품질 예측 값을 비교한다. 이 비교 분석을 통하여 이동평균 방식으로 측정한 두 요소를 품질 측량 도구로 사용할 수 있음을 입증한다. 마지막으로 품질과 요금 부과 관계를 명확히 연관시켜줄 수 있는 품질 기반 요금 부과 체계를 제안한다.

• 방송공학회논문지
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• 제14권1호
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• pp.36-43
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• 2009

최근 에러의 가시도를 측정하던 기존 패러다임의 한계를 극복하고자 structural similarity (SSIM) metric이 제안되어 우수한 성능을 보이고 있다. 하지만 SSIM은 기존에 활발히 연구되어오던 인간시각체계의 민감도에 대한 특성을 완전히 배제함으로써 새로운 한계점을 노출한다. 본 논문에서는 포비에이션 포인트로부터의 거리, 평균 휘도 값, DCT 계수, 모션 정보를 이용하여 통합된 시각적 가중치를 정의하였고 이를 SSIM과 자연스럽게 결합함으로써 성능을 개선하였다. VQEG 멀티미디어 그룹의 테스트 플랜을 이용한 테스트를 통해 본 논문의 품질측정 기준이 기존의 SSIM 보다 주관적 화질평가의 결과와 연관도가 더 높음을 보임으로써 성능 향상을 증명하였다.

• 한국소음진동공학회논문집
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• 제23권1호
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• pp.73-83
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• 2013

In previous works, psychoacoustic parameters have been used for objective quantification. However, these parameters do not agree well with subjective assessment. Therefore, the correlation between psychoacoustic parameters and the subjective rating of door closing sounds of sampled cars is low, and it is not sufficient to use psychoacoustic parameters as an objective metric to quantify the sound quality of door closing sounds. In this paper, a new method is proposed to objectively quantify the sound quality based on physiological acoustics and statistical signal processing. The gammatone filter, as a pre-processing, is used in models of the auditory system and kurtosis, which is the fourth-order moment of temporal signal, and is used to extract information about sound quality quantification for door closing sounds. The new metric obtained through the proposed method is highly correlated with subjective rating, and it is successfully applied to the quantification of the sound quality of door closing sounds.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 춘계학술대회 논문집
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• pp.526-527
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• 2014

• Journal of information and communication convergence engineering
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• 제7권2호
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• pp.185-192
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• 2009

In wireless mesh networks multi-rate technology environment, a mesh node can dynamically modify the data transmission rate on a particular link, in response to link distance, or more accurately, the perceived SNR ratio between neighbor nodes. In such networks, existing route selection schemes use a link quality metric. Thus, these schemes may easily result in the network being overloaded. In this paper, a new route metric is proposed; it considers both per-hop service delay and link quality at mesh nodes. In addition, the Load-Aware AODV (LA-AODV) protocol using the proposed metric is presented. The performance evaluation is performed by simulation using the OPNET simulator. It is demonstrated that the LA-AODV protocol outperforms the existing routing protocols using other existing route metrics in multi-rate WMN environment.

• International Journal of Contents
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• 제2권2호
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• pp.10-16
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• 2006

In this paper, we propose a predictive resource metric region (RMR) based radio resource metric estimation (RRME) mechanism, which utilizes a resource metric mapping function (RMMF), both of which permit efficient inter-working between the physical layer and higher layers for envisaging multimedia service applications over a CDMA communication system platform. The RMR can provide the acceptable resource region where QoS and acceptable link quality can be guaranteed with an achievable resource margin to be utilized in terms of capacity margin, the degree of confidence (DCL) of user, second-order statistics of Eb/Io. With predicted capacity margin and variance, DCL can deliver decision parameters with which an adaptive QoS based admission control can perform well taking capacity and resource availability into account in a dynamic and predictive manner. Combined with advanced techniques such as adaptive modulation or rate control and power control, the proposed mechanism can adjust the conventional stringent link quality information efficiently, and deliver accurate information of the resource availability. Thus, these can guarantee the maximization of resource utilization of multimedia service applications.