A Hardware/Software Framework for Real-Time Spiking Systems

2005 ◽  
pp. 161-166 ◽  
Author(s):  
Matthias Oster ◽  
Adrian M. Whatley ◽  
Shih-Chii Liu ◽  
Rodney J. Douglas
Keyword(s):  
Real Time ◽  
Software Framework

scholarly journals Binocular stereovision omnidirectional motion handling robot

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092685
Author(s):  
Bo Tang ◽  
Li Jiang
Keyword(s):  
Real Time ◽  
High Efficiency ◽  
Recognition Rate ◽  
Three Dimensional ◽  
Image Feature ◽  
Software Framework ◽  
Matching Algorithm ◽  
Speeded Up Robust Features ◽  
Binocular Stereovision ◽  
The Relationship

Binocular stereovision has become one of the development trends of machine vision and has been widely used in robot recognition and positioning. However, the current research on omnidirectional motion handling robots at home and abroad is too limited, and many problems cannot be solved well, such as single operating systems, complex algorithms, and low recognition rates. To make a high-efficiency handling robot with high recognition rate, this article studies the problem of robot image feature extraction and matching and proposes an improved speeded up robust features (SURF) algorithm that combines the advantages of both SURF and Binary Robust Independent Elementary Features. The algorithm greatly simplifies the complexity of the algorithm. Experiments show that the improved algorithm greatly improves the speed of matching and ensures the real-time and robustness of the algorithm. In this article, the problem of positioning the target workpiece of the robot is studied. The three-dimensional (3-D) reconstruction of the target workpiece position is performed to obtain the 3-D coordinates of the target workpiece position, thereby completing the positioning work. This article designs a software framework for real-time 3-D object reconstruction. A Bayesian-based matching algorithm combined with Delaunay triangulation is used to obtain the relationship between supported and nonsupported points, and 3-D reconstruction of target objects from sparse to dense matches is achieved.

Ultrasound imaging software framework for real-time monitoring of acoustic ablation therapy

2012 ◽  
Author(s):  
Hyun-Jae Kang ◽  
Nishikant P. Deshmukh ◽  
Philipp Stolka ◽  
E. Clif Burdette ◽  
Emad M. Boctor
Keyword(s):  
Real Time ◽  
Ultrasound Imaging ◽  
Software Framework ◽  
Real Time Monitoring ◽  
Ablation Therapy

Real-Time Distributed Simulation Environment for Air Defense System Using A Software Framework

2007 ◽  
Vol 4 (2) ◽  
pp. 64-79 ◽  
Author(s):  
Byunggyu Cho ◽  
Dae Young Kim ◽  
Sae Hwan Kim ◽  
Cheong Youn
Keyword(s):  
Real Time ◽  
Distributed Simulation ◽  
Software Framework ◽  
Simulation Environment ◽  
Defense System ◽  
Air Defense

scholarly journals ControlShell: a real-time software framework

1991 ◽  
Author(s):  
Schneider ◽  
Ullman ◽  
Chen
Keyword(s):  
Real Time ◽  
Software Framework

scholarly journals The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems

2014 ◽  
Vol 17 (1) ◽  
pp. 130-148 ◽  
Author(s):  
D. Schwanenberg ◽  
B. P. J. Becker ◽  
M. Xu
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Feedback Control ◽  
Real Time ◽  
Large Scale ◽  
Water Systems ◽  
Software Framework ◽  
River Rhine ◽  
Real Time Control ◽  
Time Control

Real-time control-Tools is a novel software framework for modeling real-time control and decision support in water resources systems. It integrates different control paradigms ranging from simple feedback control strategies with triggers, operating rules and controllers to advanced optimization-based approaches such as model predictive control (MPC). A key feature of the package is the modular integration of modeling components, related adjoint models, and optimization algorithms which makes it well suited for the control of large-scale water systems. Interfaces enable its integration into Supervisory Control and Data Acquisition systems, operational stream flow forecasting, and decision support systems as well as hydraulic modeling packages. This paper presents an overview of the novel software framework, gives an introduction into the underlying control theory for which it has been developed and discusses the related software architecture. A first case describes an innovative combination of binary decision trees and feedback control in application to the modeling of a highly regulated River Rhine reach along the German–French border. Two additional cases present the efficient application of MPC to the short-term management of two large-scale water systems in the Netherlands and the USA.

JRTF: A Flexible Software Framework for Real-Time Control in Magnetic Confinement Nuclear Fusion Experiments

2016 ◽  
Vol 63 (2) ◽  
pp. 1070-1075 ◽  
Author(s):  
M. Zhang ◽  
G. Z. Zheng ◽  
W. Zheng ◽  
Z. Chen ◽  
T. Yuan ◽  
...  
Keyword(s):  
Real Time ◽  
Nuclear Fusion ◽  
Magnetic Confinement ◽  
Software Framework ◽  
Real Time Control ◽  
Time Control ◽  
Fusion Experiments

scholarly journals ControlShell: A Real-Time Software Framework.

1993 ◽  
Author(s):  
J. C. Latombe ◽  
R. H. Cannon ◽  
Schneider Jr. ◽  
S. A.
Keyword(s):  
Real Time ◽  
Software Framework

scholarly journals RealTimeFrame – A Real Time Processing Framework for Medical Video Sequences

10.14311/981 ◽  
2008 ◽  
Vol 48 (3) ◽  
Author(s):  
S. Gross ◽  
T. Stehle
Keyword(s):  
Real Time ◽  
High Performance ◽  
Image Data ◽  
Computer Hardware ◽  
Software Framework ◽  
Real Time Processing ◽  
Video Signals ◽  
Full Screen ◽  
Time Image ◽  
Processing Steps

Imaging technology is highly important in today’s medical environments. It provides information upon which the accuracy of the diagnosis and consequently the wellbeing of the patient rely. Increasing the quality and significance of medical image data is therefore one the aims of scientific research and development. We introduce an integrated hardware and software framework for real time image processing in medical environments, which we call RealTimeFrame. Our project is designed to offer flexibility, easy expandability and high performance. We use standard personal computer hardware to run our multithreaded software. A frame grabber card is used to capture video signals from medical imaging systems. A modular, user-defined process chain performs arbitrary manipulations on the image data. The graphical user interface offers configuration options and displays the processed image in either window or full screen mode. Image source and processing routines are encapsulated in dynamic library modules for easy functionality extension without recompilation of the entire software framework. Documented template modules for sources and processing steps are part of the software’s source code.

scholarly journals Kinetx: A Combined Flow Cytometry Assay and Analysis Software Framework to Quantitatively Measure and Categorize Platelet Activation in Real-time.

10.3791/62947 ◽  
2021 ◽  
Author(s):  
Joanne L. Dunster ◽  
Jo L. Mitchell ◽  
Yasmin M. M. Mohammed ◽  
Kirk A. Taylor ◽  
Jonathan M. Gibbins ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Real Time ◽  
Platelet Activation ◽  
Software Framework ◽  
Analysis Software ◽  
Flow Cytometry Assay ◽  
Combined Flow
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