• Ocean and Polar Research
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• 제30권3호
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• pp.313-324
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• 2008

In order to understand the variation of ENSO-related oceanic environments in the tropical and North Pacific Ocean, spatio-temporal variations of sea surface temperature anomaly (SSTA) and sea surface height anomaly (SSHA) are analyzed from distributions of complex empirical orthogonal functions (CEOF). Correlations among warm pool variation, southern oscillation index, and ocean surface currents were also examined with respect to interannual variability of the warm pool in western tropical Pacific. Spatio-temporal distributions of the first CEOF modes for SSTA and SSHA indicate that their variabilities are associated with ENSO events, which have a variance over 30% in the North Pacific. The primary reasons for their variabilities are different; SST is predominantly influenced by the change of barrier layer thickness, while SSH fluctuates with the same phase as propagation of an ENSO episode in the zonal direction. Horizontal boundary of warm pool area, which normally centered around $149^{\circ}E$ in the tropics, seemed to be expanded to the middle and eastern tropical regions by strong zonal currents through the mature phase of an ENSO episode.

• 한국수산과학회지
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• 제51권4호
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• pp.426-434
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• 2018

We investigated temporal and depth-related variation in species composition and abundance of the fish assemblage in the southern East Sea. Fish samples were collected seasonally between 2007 and 2008 using a demersal trawl off the southern coast of Korea. We identified 59 fish species belonging to 41 families. The most frequently occurring species was Coelorinchus multispinulosus, followed by Lophius litulon, Acropoma japonicum and Apogon lineatus. The five most abundant species were A. lineatus, A. japonicum, Myctophum nitidulum, Engraulis japonicus and C. multispinulosus, accounting for 87.04% of the total number of individuals collected. The number of species, abundance and diversity fluctuated with sampling location and time. Permutational multivariate analyses of variance revealed that the assemblage structure was influenced by year, season and water depth, with season being the main indicator. These changes were visually emphasized using non-metric multidimensional scaling ordination plots. Fluctuations in assemblage structure were due to differential contributions of the dominant species.

• 한국환경과학회지
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• 제29권11호
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• pp.1141-1151
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• 2020

The impact of sound speed variability in the sea is the very important on acoustic propagation for the underwater acoustic systems. Understanding of the temporal and spatial variability of ocean sound speed in the sea around the Ieodo were obtained using oceanographic data (temperature, salinity). from the Korea Oceanographic Data Center, collected by season for 17 years. The vertical distributions of sound speed are mainly related to seasonal variations and various current such as Chinese coastal water, Yellow Sea Cold Water (YSCW), Kuroshio source water. The standard deviations show that great variations of sound speed exist in the upper layer and observation station between 16 and 18. In order to quantitatively explain the reason for sound speed variations, Empirical Orthogonal Function (EOF) analysis was performed on sound speed data at the Line 316 covering 68 cruises between 2002 and 2018. Three main modes of EOFs respectively revealed 55, 29, and 5% the total variance of sound speed. The first mode of the EOFs was associated with influence of surface heating. The second EOFs pattern shows that contributions of YSCW and surface heating. The first and second modes had seasonal and inter-annul variations.

• 한국정보통신학회논문지
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• 제7권8호
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• pp.1684-1690
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• 2003

본 논문에서는 H.263 부호기에서 적정 화질과 일정한 전송율을 유지하는 양자화 변수 추정을 위한 퍼지 제어기를 제안하였다. 퍼지화 방법으로는 Mamdani 방법을 이용하며, 역퍼지화는 무게중심법을 이용하였다. 움직임 벡터에 따른 시간적 특성을 추정할 때 공간영역에서 분산과 엔트로피는 시각적 특성과 상관관계가 있다. 따라서 퍼지 입력변수로 영상의 분산값, 엔트로피 및 움직임 벡터를 이용하였다. 퍼지 소속함수를 유도하고, 시각적 특성에 적합한 퍼지감도를 결정하였으며, FAM 뱅크를 설계하였다. 실제 동영상 압축에 퍼지 규칙을 적용하였으며, 퍼지 양자화를 이용하여 효율적인 율제어와 최적의 비트할당 및 주관적 화질 특성이 유지되는 결과를 얻었다.

• 대한산업공학회지
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• 제24권2호
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• pp.297-309
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• 1998

Numerical parameters have been developed to diagnose L4/L5 disc patients during repetitive flexions and extensions. Electromyography(EMG) has been used to define the muscle excitation and movement cycle in this study. Twenty healthy subjects and twenty L4/L5 disc patients were recruited for the experiment. The subjective pain levels of patients were recorded as $3.7{\pm}1.6$ according to visual analogue scale where 10 was the maximum pain level. Variance ratio of motion cycle was suggested as a new parameter to examine the consistency of the trunk movement. The results indicated that the temporal EMG pattern such as peak time difference between Quadriceps and Hamstrings, the duration of coexcitation between Erector spinae and Rectus abdominis muscle pairs showed a statistically significant difference between healthy subjects and patients. Variance ratio of External oblique and Internal oblique also showed a statistically significant difference. It is expected that those results could be used for diagnosis by building a database for various back pain patients and healthy subjects. This method can eventually help physicians for early diagnosis and prevention of low back disorders.

• 산경연구논집
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• 제8권1호
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• pp.5-13
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• 2017

Purpose - In this article, a dynamic model like a VAR is an appropriate choice for estimating the possible interrelationship between ownership structure and firm performance as a dynamic process. Research design, data, and methodology - Data of this work are collected from Chinese stock exchange including 350 Chinese-listed firms during the period of 1999-2012. We hypothesize that this interrelationship dynamically exists between ownership structure and firm performance. To examine the correlation, a panel Vector Auto-regression (PVAR) approach generated by GMM method is utilized to test the possible dynamic relation embedded in corporate governance. Another two dynamic analysis solutions such as orthogonalized impulse-response function and variance decomposition are also used simultaneously. Results - Findings of this study indicate the evidence that dynamically endogenous relationship exists between ownership structure and firm performance. Further, there is a dynamical correlation between investment and performance. Impulse response and variance decomposition illustrate that impact of a shock to variables themselves is the main source for their variability. Conclusions - The conclusion in this study is that there is a bidirectional and inter-temporal effect between proportion of ownership and corporate performance for a long run in accordance with impulse response function. Overall, our results suggest that corporate governance in China is more market oriented.

• 대한원격탐사학회지
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• 제15권3호
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• pp.239-251
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• 1999

The elimination process of cloud-contaminated pixels is one of important steps before obtaining the accurate parameters of land and ocean surface from AVHRR imagery. We developed a 6step threshold method to detect the cloud-contaminated pixels from NOAA-14/AVHRR datime imagery over land using different combination of channels. This algorithm has two phases : the first is to make a cloud-free characteristic data of land surface using compositing techniques from channel 1 and 5 imagery and a dynamic threshold of brightness temperature, and the second is to identify the each pixel as a cloud-free or cloudy one through 4-step threshold tests. The merits of this method are its simplicity in input data and automation in determining threshold values. The threshold of infrared data is calculated through the combination of brightness temperature of land surface obtained from AVHRR imagery, spatial variance of them and temporal variance of observed land surface temperature. The method detected the could-comtaminated pixels successfully embedded inthe NOAA-14/AVHRR daytime imagery for the August 1 to November 30, 1996 and March 1 to July 30, 1997. This method was evaluated through the comparison with ground-based cloud observations and with the enhanced visible and infrared imagery.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1975-1988
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• 2019

Short-term traffic flow prediction plays an important role in intelligent transportation systems (ITS) in areas such as transportation management, traffic control and guidance. For short-term traffic flow regression predictions, the main challenge stems from the non-stationary property of traffic flow data. In this paper, we design an ensemble cascading prediction framework based on extremely randomized trees (extra-trees) using a boosting technique called EET to predict the short-term traffic flow under non-stationary environments. Extra-trees is a tree-based ensemble method. It essentially consists of strongly randomizing both the attribute and cut-point choices while splitting a tree node. This mechanism reduces the variance of the model and is, therefore, more suitable for traffic flow regression prediction in non-stationary environments. Moreover, the extra-trees algorithm uses boosting ensemble technique averaging to improve the predictive accuracy and control overfitting. To the best of our knowledge, this is the first time that extra-trees have been used as fundamental building blocks in boosting committee machines. The proposed approach involves predicting 5 min in advance using real-time traffic flow data in the context of inherently considering temporal and spatial correlations. Experiments demonstrate that the proposed method achieves higher accuracy and lower variance and computational complexity when compared to the existing methods.

• 한국정보통신학회논문지
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• 제18권5호
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• pp.1187-1193
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• 2014

본 논문에서는 웨이블릿 변환 기반의 스케일러블 비디오 부호화의 핵심 요소인 움직임 보상 시간적 필터링 (motion compensated temporal filtering; MCTF)의 성능향상을 위한 효과적인 움직임 예측 기법을 제안한다. MCTF의 성능향상과 밀접한 관련이 있는 픽셀 연결성을 개선하기 위하여 변형 중간값 연산 및 주변 블록의 움직임 벡터를 이용한 움직임 예측 방법으로 움직임 벡터 필드를 평탄화한다. 또한 영상의 복잡도 등의 특성에 따라 가변 블록크기로 움직임 예측을 수행하여 움직임 벡터 필드의 상관도를 더욱 향상시킨다. 제안하는 방법은 시간적 필터링 과정에서 고주파 프레임으로 분해되는 에너지를 줄여 MCTF 및 전체 스케일러블 부호기의 성능을 향상시킨다. 실험결과 기존의 고정 블록크기 전역탐색 방법과 비교하여 제안하는 방법이 시간적 고주파 부대역 프레임에 포함된 에너지를 최대 30.33%까지 감소시키는 것을 확인하였다.

• 한국멀티미디어학회논문지
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• 제16권6호
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• pp.746-755
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• 2013

본 논문은 적외선 영상 시퀀스에서 2차원 양방향 필터 (bilateral filter)를 이용하여 표적의 공간적 정보를 추출하고, 시퀀스의 시간적 프로파일에서는 1차원 양방향 필터를 이용하여 표적의 시간적 정보를 추출하여 표적의 궤적을 검출하는 3차원 양방향 필터를 제안하였다. 평탄 배경 및 표적 영역, 에지 영역을 구별하기 위하여 2차원 영상에서는 공간적 분산값을 이용하며, 배경 프로파일 및 표적 프로파일, 에지 프로파일을 구별하기 위하여 화소의 시간적 프로파일에서는 시간적 분산값을 이용하였다. 이를 통하여 공간적으로는 표적이 없는 배경을 예측하고, 시간적으로는 표적이 없는 배경 프로파일을 생성한다. 최종적으로 공간적으로 예측된 배경 및 시간적으로 예측된 배경 프로파일을 이용하여 표적의 궤적을 추출한다. 기존 방법과 제안한 방법의 성능 비교를 위하여, ROC (receiver operating characteristics) 곡선을 실험에서 사용하였다. 실험결과에서 제안된 방법이 기존방법들보다 오경보율 (false alarm rate)이 낮고, 표적 및 배경에 대한 향상된 식별력을 가졌음을 확인하였다.