• 제목/요약/키워드: temporal information

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독립성분분석에 의한 유전자 발현 시계열 데이터의 공간적 패턴과 시간적 모드 분석 (Spatial pattern and temporal mode analysis of microarray time-series data by independent component analysis)

  • Sookjeong, Kim;Seungjin, Choi
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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    • pp.250-252
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    • 2004
  • In this paper we apply several variations of independent component analysis( ICA) methods, such as spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to yeast cell cycle datasets, and compare their performance in finding components that result in gene clusters coherent with annotations and in extract ins meaningful temporal modes. It turns out that the results of tICA are superior to those of PCA, sICA, and stICA in terms of gene clustering and the temporal modes extracted by stICA highlights particular cellular processes.

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Human Motion Recognition Based on Spatio-temporal Convolutional Neural Network

  • Hu, Zeyuan;Park, Sange-yun;Lee, Eung-Joo
    • 한국멀티미디어학회논문지
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    • 제23권8호
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    • pp.977-985
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    • 2020
  • Aiming at the problem of complex feature extraction and low accuracy in human action recognition, this paper proposed a network structure combining batch normalization algorithm with GoogLeNet network model. Applying Batch Normalization idea in the field of image classification to action recognition field, it improved the algorithm by normalizing the network input training sample by mini-batch. For convolutional network, RGB image was the spatial input, and stacked optical flows was the temporal input. Then, it fused the spatio-temporal networks to get the final action recognition result. It trained and evaluated the architecture on the standard video actions benchmarks of UCF101 and HMDB51, which achieved the accuracy of 93.42% and 67.82%. The results show that the improved convolutional neural network has a significant improvement in improving the recognition rate and has obvious advantages in action recognition.

상황의미론에 기초한 영어 내포 시제 연구: 태도문을 중심으로 (A Situation Semantic Account of English Embedded Tense)

  • 조영순
    • 한국언어정보학회지:언어와정보
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    • 제4권2호
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    • pp.27-40
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    • 2000
  • The purpose of this paper is to propose a way of analyzing English embedded tense in terms of temporal per- spective time. To this end, the notion of temporal perspective time and Cooper and Ginzburg's(1996) attitude account are employed. Temporal perspective time is used to define the tense and to capture the anaphoric property of embedded tense,: the embedded temporal perspective time draws the embedding event time by anaphora. The ambiguity in the sequence of tense construction is described in terms of the attitude tense constraint reflecting the anaphoric property and two definitions of the past tense. The double access property in the present-under-past construction is described in terms of the constraint, the notion of eventuality, and the situation theoretic existential quantifier.

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원형어레이를 이용한 시.공간 스펙트럼 동시추정 (Simultaneous estimation of the temporal and spatial spectrum using circular array)

  • 황성준;주경환;성하종;김영수;윤대희
    • 한국통신학회논문지
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    • 제21권2호
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    • pp.347-356
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    • 1996
  • In this paper, we present the circular array structure for estimating the temporal and spatial specturm of multiple narrowband incoherent signals which have different frequencies. The conventional linear array is computationally demanding for simultaneously estimating the spatial and temporal spectrum since it requires the tapped delay line filer. The statistical performance of the circular array is never deteriorated eve though it requires much less computational load than the uniform linear array. Especially, it is shown that the circular array resolves the direction-of-arrivals of the multiple signals without the spatial and temporal aliasing the fundamental nonuniform-sampling property prossessed by it. Computer simulation results are shown to demonstrate the better performance achieved with the circular array geometry relative to that obtained with a uniform linear array with taps.

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Extended Temporal Ordinal Measurement Using Spatially Normalized Mean for Video Copy Detection

  • Lee, Heung-Kyu;Kim, June
    • ETRI Journal
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    • 제32권3호
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    • pp.490-492
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    • 2010
  • This letter proposes a robust feature extraction method using a spatially normalized mean for temporal ordinal measurement. Before computing a rank matrix from the mean values of non-overlapped blocks, each block mean is normalized so that it obeys the invariance property against linear additive and subtractive noise effects and is insensitive against multiplied and divided noise effects. Then, the temporal ordinal measures of spatially normalized mean values are computed for the feature matching. The performance of the proposed method showed about 95% accuracy in both precision and recall rates on various distortion environments, which represents the 2.7% higher performance on average compared to the temporal ordinal measurement.

Error Performance of Spatial-temporal Combining-based Spatial Multiplexing UWB Systems Using Transmit Antenna Selection

  • Kim, Sang-Choon
    • Journal of information and communication convergence engineering
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    • 제10권3호
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    • pp.215-219
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    • 2012
  • This paper applies transmit antenna selection algorithms to spatial-temporal combining-based spatial multiplexing (SM) ultra-wideband (UWB) systems. The employed criterion is based on the largest minimum output signal-to-noise ratio of the multiplexed streams. It is shown via simulations that the bit error rate (BER) performance of the SM UWB systems based on the two-dimensional Rake receiver is significantly improved by antenna diversity through transmit antenna selection on a log-normal multipath fading channel. When the transmit antenna diversity through antenna selection is exploited in the SM UWB systems, the BER performance of the spatial-temporal combining-based zero-forcing (ZF) receiver is also compared with that of the ZF detector followed by the Rake receiver.

Ontology Versions Management on the Semantic Web

  • Yun, Hong-Won
    • Journal of information and communication convergence engineering
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    • 제2권1호
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    • pp.26-31
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    • 2004
  • In the last few years, The Semantic Web has increased the interest in ontologies. Ontology is an essential component of the semantic web. Ontologies continue to change and evolve. We consider the management of versions in ontology. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and temporal dimension. In many cases, we want to be able to search in historical versions, query changes in versions, retrieve versions on the temporal dimension. In order to support an ontology query language that supports temporal operations, we consider temporal dimension includes transaction time and valid time. Ontology versioning brings about massive amount of versions to be stored and maintained. We present the storage policies that are storing all the versions, all the sequence of changed element, all the change sets, the aggregation of change sets periodically, and the aggregation of change sets using a criterion. We conduct a set of experiments to compare the performance of each storage policies. We present the experimental results for evaluating the performance of different storage policies from scheme 1 to scheme 5.

A Spatial-Temporal Three-Dimensional Human Pose Reconstruction Framework

  • Nguyen, Xuan Thanh;Ngo, Thi Duyen;Le, Thanh Ha
    • Journal of Information Processing Systems
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    • 제15권2호
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    • pp.399-409
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    • 2019
  • Three-dimensional (3D) human pose reconstruction from single-view image is a difficult and challenging topic. Existing approaches mostly process frame-by-frame independently while inter-frames are highly correlated in a sequence. In contrast, we introduce a novel spatial-temporal 3D human pose reconstruction framework that leverages both intra and inter-frame relationships in consecutive 2D pose sequences. Orthogonal matching pursuit (OMP) algorithm, pre-trained pose-angle limits and temporal models have been implemented. Several quantitative comparisons between our proposed framework and recent works have been studied on CMU motion capture dataset and Vietnamese traditional dance sequences. Our framework outperforms others by 10% lower of Euclidean reconstruction error and more robust against Gaussian noise. Additionally, it is also important to mention that our reconstructed 3D pose sequences are more natural and smoother than others.

Incomplete Decisions on Reward-Based Crowdfunding Platforms: Exploring Motivations from Temporal and Social Perspectives

  • KwangWook Gang;Hoon S. Cha;Ilyoo B. Hong
    • Asia Marketing Journal
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    • 제26권1호
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    • pp.1-10
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    • 2024
  • This study explores incomplete decision-making dynamics on reward-based crowdfunding platforms, focusing on temporal and social factors influencing backers' decisions. Utilizing the temporal aspect (i.e., pledging campaign phase) and social aspect (i.e., current pledged amount ratio) as stimuli within the stimulus-organism-response framework, our findings reveal that nearly 50.9% of respondents change their initial decisions, highlighting widespread incomplete information processing. Backers are more prone to altering decisions under heightened time pressure and display herding behaviors. Furthermore, backers exhibit an increased likelihood of changing decisions under heightened time pressure, coupled with a greater chance that the pledged goal amount will not be achieved. The study discusses theoretical and practical implications.

다중시기 SAR 영상자료 긴밀도 분석을 통한 토지피복 분류 (Landcover classification by coherence analysis from multi-temporal SAR images)

  • 윤보열;김윤수
    • 항공우주기술
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    • 제8권1호
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    • pp.132-137
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    • 2009
  • 본 연구는 지표투과력이 높은 L밴드 SAR 영상자료를 이용하여 토지피복 분류를 수행하였다. 다중시기 SAR 영상자료의 시간적 변이도 특성이 각기 다르게 나타나는 점을 이용하여 영상의 긴밀도 정보를 추출하고, 추출된 긴밀도 정보를 기반으로 분류를 수행하였다. 시간적 긴밀도 정보를 추출하기 위해 반복 패스를 통해 획득된 간섭 레이더(Interferometry SAR, 이하 InSAR) 기법을 이용하였고, 다중시기 영상에 대해 가장 최적의 기선거리에서 선정된 긴밀도 정보를 포함하는 영상을 선정하여 토지피복 분류작업을 수행한 결과 분류된 객체들 간에 명확하게 구분됨을 확인할 수 있었다.

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