scholarly journals High-performance meteorological data processing framework for real-time analysis and visualization

2017 ◽  
Vol 119 ◽  
pp. 334-340
Author(s):  
Gali-Ketema Mbogo ◽  
Stepan V. Rakitin ◽  
Alexander Visheratin
Keyword(s):  
Data Processing ◽  
Real Time ◽  
High Performance ◽  
Meteorological Data ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Processing Framework

scholarly journals Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Liang Li ◽  
Bin Yan ◽  
Li Tong ◽  
Linyuan Wang ◽  
Jianxin Li
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
High Performance ◽  
Detection Method ◽  
Fmri Data ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Robust Kalman Filter ◽  
Repetition Time ◽  
Activation Detection

Real-time functional magnetic resonance imaging (rt-fMRI) is a technique that enables us to observe human brain activations in real time. However, some unexpected noises that emerged in fMRI data collecting, such as acute swallowing, head moving and human manipulations, will cause much confusion and unrobustness for the activation analysis. In this paper, a new activation detection method for rt-fMRI data is proposed based on robust Kalman filter. The idea is to add a variation to the extended kalman filter to handle the additional sparse measurement noise and a sparse noise term to the measurement update step. Hence, the robust Kalman filter is designed to improve the robustness for the outliers and can be computed separately for each voxel. The algorithm can compute activation maps on each scan within a repetition time, which meets the requirement for real-time analysis. Experimental results show that this new algorithm can bring out high performance in robustness and in real-time activation detection.

Real-time analysis of multicomponent chromatograms: application to high-performance liquid chromatography

The Analyst ◽  
1995 ◽  
Vol 120 (2) ◽  
pp. 377 ◽  
Author(s):  
Atsushi Yamamoto ◽  
Akinobu Matsunaga ◽  
Mikiya Ohto ◽  
Eiichi Mizukami ◽  
Kazuichi Hayakawa ◽  
...  
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Real Time ◽  
High Performance ◽  
Time Analysis ◽  
Real Time Analysis

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

scholarly journals Real-Time Analysis of Animal Feeding Behavior With a Low-Calculation-Power CPU

2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara
Keyword(s):  
Feeding Behavior ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Animal Feeding

A threshold-based, real-time analysis in early detection of endpoint anomalies using SIEM expertise

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli
Keyword(s):  
Early Detection ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis
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