Embedded Real-Time Linux for Cable Robot Control

2002 ◽  
Author(s):  
Frederick M. Proctor ◽  
William P. Shackleford
Keyword(s):  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Hard Disk Drives ◽  
Source Model ◽  
Disk Drives ◽  
Deterministic Scheduling ◽  
Cable Robot ◽  
Real Time Computing ◽  
Embedded Applications

Linux is a version of the Unix operating system distributed according to the open source model. Programmers are free to adapt the source code for their purposes, but are required to make their modifications or enhancements available as open source software as well. This model has fostered the widespread adoption of Linux for typical Unix server and workstation roles, and also in more arcane applications such as embedded or real-time computing. Embedded applications typically run in small physical and computing footprints, usually without fragile peripherals like hard disk drives. Special configurations are required to support these limited environments. Real-time applications require guarantees that tasks will execute within their deadlines, something not possible in general with the normal Linux scheduler. Real-time extensions to Linux enable deterministic scheduling, at task periods at tens of microseconds. This paper describes embedded and real-time Linux, and an application for distributed control of a Stewart Platform cable robot. Special Linux configuration requirements are detailed, and the architecture for teleoperated control of the cable robot is presented, with emphasis on the resolved-rate control of the suspended platform.

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

2021 ◽  
pp. 257-271
Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Research Work ◽  
Software Tool ◽  
Knn Classifier ◽  
User Expectations

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

scholarly journals Trust and Community in Open Source Software Production

2004 ◽  
Vol 26 (1) ◽  
Author(s):  
Margit Osterloh ◽  
Sandra Rota
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Extrinsic Motivation ◽  
Source Model ◽  
Private Ownership ◽  
Complex Interplay ◽  
Software Production ◽  
Innovation Model ◽  
The Commons ◽  
Low Costs

AbstractOpen source software production is a successful new innovation model which disproves that only private ownership of intellectual property rights fosters innovations. It is analyzed here under which conditions the open source model may be successful in general. We show that a complex interplay of situational, motivational, and institutional factors have to be taken into account to understand how to manage the ‘tragedy of the commons’ as well as the ‘tragedy of the anticommons’. It is argued that the success of this new innovation model is greatly facilitated by a well balanced portfolio of intrinsic and extrinsic motivation, low costs for contributors and governance mechanisms that do not crowd out intrinsic motivation.

scholarly journals Development of an All-Fiber Coherent Doppler Lidar in the IAO SB RAS

2020 ◽  
Vol 237 ◽  
pp. 06005
Author(s):  
Artem Sherstobitov ◽  
Viktor Banakh ◽  
Alexander Nadeev ◽  
Igor Razenkov ◽  
Igor Smalikho ◽  
...  
Keyword(s):  
Signal Processing ◽  
Radial Velocity ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Stream Line ◽  
Doppler Lidar ◽  
Hardware System ◽  
Coherent Doppler Lidar

Paper presents a model of the all-fiber pulsed coherent Doppler lidar (IAO-lidar) build in the IAO SB RAS. Here is described lidar design, the algorithm for processing of lidar signals and the software-hardware system that implements signal processing in real time, created with the use of open source software. The results of joint measurements of the radial velocity by the IAO-lidar and the HALO Photonics (Stream Line) lidar are given.

Adoption and Use of Open Source Infrastructure Software by Large Corporations

2015 ◽  
Vol 26 (4) ◽  
pp. 1-17 ◽  
Author(s):  
RadhaKanta Mahapatra ◽  
Rashid Manzar ◽  
Vikram S. Bhadauria
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Source Model ◽  
Early Adopter ◽  
Business Organizations ◽  
Adoption Decision ◽  
Software Adoption ◽  
Continued Use ◽  
Large Corporations ◽  
Proprietary Product

Adoption and continuance of use of open source infrastructure software by large business organizations is not well understood. This study fills this gap in research by conducting a longitudinal investigation of the adoption and use of MySQL by two large corporations. One organization, an early adopter, adopted and used MySQL for several years before reverting back to a proprietary product. The other, a late adopter, made an initial adoption decision but didn't deploy it in mission critical applications. Interestingly, free software and freedom to access and modify the source code, the hallmark of the open source model, were not found to be significant in promoting adoption. In contrast, high quality maintenance support and timely product enhancement to keep up with user needs were considered critical for initial adoption and continued use of software. The study also demonstrates the need to investigate continuance of use to get a complete picture of open source software adoption and use by organizations.

Real-time traffic-based routing, based on open data and open-source software

2016 ◽  
Author(s):  
Diego Serrano ◽  
Teresa Baldassarre ◽  
Eleni Stroulia
Keyword(s):  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Open Data ◽  
Real Time Traffic

scholarly journals Open-source software for mouse-tracking in Qualtrics to measure category competition

2018 ◽  
Author(s):  
Maya B Mathur ◽  
David Reichling
Keyword(s):  
Data Collection ◽  
Open Source ◽  
Real Time ◽  
Cognitive Processes ◽  
Open Source Software ◽  
Online Survey ◽  
Mouse Tracking ◽  
Crowdsourced Data ◽  
Programming Skills ◽  
User Friendly

Mouse-tracking is a sophisticated tool for measuring rapid, dynamic cognitive processes in real time, particularly in experiments investigating competition between perceptual or cognitive categories. We provide user-friendly, open-source software (https://osf.io/st2ef/) for designing and analyzing such experiments online using the Qualtrics survey platform. The software consists of a Qualtrics template with embedded Javascript and CSS along with R code to clean, parse, and analyze the data. No special programming skills are required to use this software. As we discuss, this software could be readily modified for use with other online survey platforms that allow the addition of custom Javascript. We empirically validate the provided software by benchmarking its performance on previously tested stimuli in a standard category-competition experiment with realistic crowdsourced data collection.

scholarly journals Moving towards Real-time Data-driven Quality Monitoring: A Case Study of Hard Disk Drives

2018 ◽  
Vol 26 ◽  
pp. 1107-1115 ◽  
Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Willie Cade ◽  
Sara Behdad
Keyword(s):  
Real Time ◽  
Hard Disk Drives ◽  
Hard Disk ◽  
Quality Monitoring ◽  
Data Driven ◽  
Disk Drives ◽  
Time Data ◽  
Real Time Data

scholarly journals Creating and controlling visual environments using BonVision

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Gonçalo Lopes ◽  
Karolina Farrell ◽  
Edward A B Horrocks ◽  
Chi Yu Lee ◽  
Mai M Morimoto ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Brain Function ◽  
Deep Neural Networks ◽  
Closed Loop ◽  
Experimental Designs ◽  
Physiological Measurement ◽  
Graphical Programming ◽  
Time Interaction

Real-time rendering of closed-loop visual environments is important for next-generation understanding of brain function and behaviour, but is often prohibitively difficult for non-experts to implement and is limited to few laboratories worldwide. We developed BonVision as an easy-to-use open-source software for the display of virtual or augmented reality, as well as standard visual stimuli. BonVision has been tested on humans and mice, and is capable of supporting new experimental designs in other animal models of vision. As the architecture is based on the open-source Bonsai graphical programming language, BonVision benefits from native integration with experimental hardware. BonVision therefore enables easy implementation of closed-loop experiments, including real-time interaction with deep neural networks, and communication with behavioural and physiological measurement and manipulation devices.

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