• Title/Summary/Keyword: Spatiotemporal

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Simulation of turbulent flow of turbine passage with uniform rotating velocity of guide vane

  • Wang, Wen-Quan;Yan, Yan
    • Coupled systems mechanics
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    • v.7 no.4
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    • pp.421-440
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    • 2018
  • In this study, a computational method for wall shear stress combined with an implicit direct-forcing immersed boundary method is presented. Near the immersed boundaries, the sub-grid stress is determined by a wall model in which the wall shear stress is directly calculated from the Lagrangian force on the immersed boundary. A coupling mathematical model of the transition process for a model Francis turbine comprising turbulent flow and rotating rigid guide vanes is established. The spatiotemporal distributions of pressure, velocity, vorticity and turbulent quantity are gained with the transient process; the drag and lift coefficients as well as other forces (moments) are also obtained as functions of the attack angle. At the same time, analysis is conducted of the characteristics of pressure pulsation, velocity stripes and vortex structure at some key parts of flowing passage. The coupling relations among the turbulent flow, the dynamical force (moment) response of blade and the rotating of guide vane are also obtained.

A GEOSENSOR FILTER FOR PROCESSING GEOSENSOR QUERIES ON DATA STREAMS

  • Lee, Dong-Gyu;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.119-121
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    • 2008
  • Pattern matching is increasingly being employed in various researches as health care service, RFID-based system, facility management, and surveillance. Geosensor filter correlates a data stream to match specific patterns in distribution environments. In this paper, we present a geosensor query language to represent efficiently declarative geosensor query. Geosensor operators are proposed to use for fast query processing in terms of spatial and temporal area in distribution environments. We also propose a geosensor filter to match new query predicates into incoming stream predicates. Our filter can reduce the volume of transmission data and save power consumption of sensors. It can be utilized the stream data mining system to process in real-time various data as location, time, and geosensor information in distribution environments.

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Mass Spectrometry Imaging of Microbes

  • Yang, Hyojik;Goodlett, David R.;Ernst, Robert K.;Scott, Alison J.
    • Mass Spectrometry Letters
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    • v.11 no.3
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    • pp.41-51
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    • 2020
  • Microbes influence many aspects of human life from the environment to health, yet evaluating their biological processes at the chemical level can be problematic. Mass spectrometry imaging (MSI) enables direct evaluation of microbial chemical processes at the atomic to molecular levels without destruction of valuable two-dimensional information. MSI is a label-free method that allows multiplex spatiotemporal visualization of atomic- or molecular-level information of microbial and microberelated samples. As a result, microbial MSI has become an important field for both mass spectrometrists and microbiologists. In this review, basic techniques for microbial MSI, such as ionization methods and analyzers, are explored. In addition, we discuss practical applications of microbial MSI and various data-processing techniques.

A General Representation of Motion Silhouette Image: Generic Motion Silhouette Image(GMSI) (움직임 실루엣 영상의 일반적인 표현 방식에 대한 연구)

  • Hong, Sung-Jun;Lee, Hee-Sung;Kim, Eun-Tai
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.749-753
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    • 2007
  • In this paper, a generalized version of the Motion Silhouette Image(MSI) called the Generic Motion Silhouette Image (GMSI) is proposed for gait recognition. The GMSI is a gray-level image and involves the spatiotemporal information of individual motion. The GMSI not only generalizes the MSI but also reflects a flexible feature of a gait sequence. Along with the GMSI, we use the Principal Component Analysis(PCA) to reduce the dimensionality of the GMSI and the Nearest Neighbor(NN) for classification. We apply the proposed feature to NLPR database and compare it with the conventional MSI. Experimental results show the effectiveness of the GMSI.

Tracking Object Movement via Two Stage Median Operation and State Transition Diagram under Various Light Conditions

  • Park, Goo-Man
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.4
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    • pp.11-18
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    • 2007
  • A moving object detection algorithm for surveillance video is here proposed which employs background initialization based on two-stage median filtering and a background updating method based on state transition diagram. In the background initialization, the spatiotemporal similarity is measured in the subinterval. From the accumulated difference between the base frame and the other frames in a subinterval, the regions affected by moving objects are located. The median is applied over the subsequence in the subinterval in which regions share similarity. The outputs from each subinterval are filtered by a two-stage median filter. The background of every frame is updated by the suggested state transition diagram The object is detected by the difference between the current frame and the updated background. The proposed method showed good results even for busy, crowded sequences which included moving objects from the first frame.

3D + Temporal Object Modeling (3D+Temporal 시공간 객체 모델링)

  • Lee, Hyun-Ah;Lim, Hun-Ki;Jin, Yong-Ri;Nam, Kwang-Woo;Ryu, Ken-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10a
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    • pp.89-92
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    • 2000
  • 실세계 객체의 정보는 공간상에서 위치 또는 영역을 가지고 있으며 시간에 따라 변한다. 또한 여러 분야의 응용 업무들 또한 시간과 공간 개념을 합께 포함하고 있으므로 시간 데이터와 공간 데이터에 대한 동시 지원의 필요성이 부각되었으며 시공간 데이터베이스(spatiotemporal databases)의 필요성이 제기 되었다. 그러나, 지금까지 제안된 시공간 객체 모델은 2 차원 공간 데이터로 제한되어 있었으나, 이 논문에서는 3 차원 공간에 시간 영역을 확장하여 시공간 데이터를 제공하기 위한 통합데이터 모델을 제시한다. 여기서 제안된 3 차원 시공간 객체 모델은 이력 객체(discretely moving object)의 표현에 중점을 두었고, 이동 객체(continuously moving object)에 대한 모델은 연속적인 위치의 변화를 표현하기 위한 객체의 모델링에 초점을 맞추고 있다.

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EEG spikes resembling cardiac M-shaped waves in the EKG: the cerebral M pattern

  • Janati, A.Bruce;ALGhasab, Naif S.;Aziz, Tariq;Haq, Fazal;ALGhassab, Fahad Saad;Iqhbal, Tariq;Alenazy, Rehab Khaleel
    • Annals of Clinical Neurophysiology
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    • v.19 no.1
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    • pp.58-63
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    • 2017
  • Studies of interictal epileptiform discharges are essential for improving the diagnosis, classification, and management of epilepsy. In this case series we sought to identify the clinical and neurophysiological significance of bifid spikes, whose pattern bears a strong resemblance to the cardiac M pattern. We hypothesize that, analogous to the cardiac M pattern, the cerebral M pattern is generated by a conduction defect associated with asynchronous spatiotemporal averaging of electrical signals in the cortex, resulting in the signals reaching the scalp with different latencies. Unlike the cardiac M pattern, the pathology underlying the cerebral M pattern is unknown, although congenital CNS anomalies may be a culprit.

CONTINUOUS QUERY PROCESSING IN A DATA STREAM ENVIRONMENT

  • Lee, Dong-Gyu;Lee, Bong-Jae;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.3-5
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    • 2007
  • Many continuous queries are important to be process efficiently in a data stream environment. It is applied a query index technique that takes linear performance irrespective of the number and width of intervals for processing many continuous queries. Previous researches are not able to support the dynamic insertion and deletion to arrange intervals for constructing an index previously. It shows that the insertion and search performance is slowed by the number and width of interval inserted. Many intervals have to be inserted and searched linearly in a data stream environment. Therefore, we propose Hashed Multiple Lists in order to process continuous queries linearly. Proposed technique shows fast linear search performance. It can be utilized the systems applying a sensor network, and preprocessing technique of spatiotemporal data mining.

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c-Cbl Acts as an E3 Ligase Against DDA3 for Spindle Dynamics and Centriole Duplication during Mitosis

  • Gwon, Dasom;Hong, Jihee;Jang, Chang-Young
    • Molecules and Cells
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    • v.42 no.12
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    • pp.840-849
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    • 2019
  • The spatiotemporal mitotic processes are controlled qualitatively by phosphorylation and qualitatively by ubiquitination. Although the SKP1-CUL1-F-box protein (SCF) complex and the anaphase-promoting complex/cyclosome (APC/C) mainly mediate ubiquitin-dependent proteolysis of mitotic regulators, the E3 ligase for a large portion of mitotic proteins has yet to be identified. Here, we report c-Cbl as an E3 ligase that degrades DDA3, a protein involved in spindle dynamics. Depletion of c-Cbl led to increased DDA3 protein levels, resulting in increased recruitment of Kif2a to the mitotic spindle, a concomitant reduction in spindle formation, and chromosome alignment defects. Furthermore, c-Cbl depletion induced centrosome over-duplication and centriole amplification. Therefore, we concluded that c-Cbl controls spindle dynamics and centriole duplication through its E3 ligase activity against DDA3.