scholarly journals Integration of custom DAQ Electronics in a SCADA Framework

2020 ◽  
Vol 245 ◽  
pp. 01016
Author(s):  
Luís Granado Cardoso ◽  
Clara Gaspar ◽  
João Viana Barbosa ◽  
Federico Alessio ◽  
Beat Jost ◽  
...  
Keyword(s):  
Control System ◽  
Data Structure ◽  
User Interfaces ◽  
Graphical User Interfaces ◽  
Front End ◽  
Experiment Control ◽  
Communication Layer ◽  
Easy Integration ◽  
Control Traffic ◽  
Multiple Field

LHCb is one of the 4 experiments at the LHC accelerator at CERN. During the upgrade phase of the experiment, several new electronic boards and Front End chips that perform the data acquisition for the experiment will be added by the different sub-detectors. These new devices will be controlled and monitored via a system composed of GigaBit Transceiver (GBT) chips that manage the bi-directional slow control traffic to the Slow Control Adapter(s) (SCA) chips. The SCA chips provide multiple field buses to interface the new electronics devices (I2C, GPIO, etc). These devices will need to be integrated in the Experiment Control System (ECS) that drives LHCb. A set of tools was developed that provide an easy integration of the control and monitoring of the devices in the ECS. A server (GbtServ) provides the low level communication layer with the devices via the several user buses in the GBT-SCA chip and exposes an interface for control to the experiment SCADA (WinCC OA), the fwGbt component provides the interface between the SCADA and the GbtServ and the fwHw component, a tool that allows the abstraction of the devices models into the ECS. Using the graphical User Interfaces or XML files describing the structure and registers of the devices it creates the necessary model of the hardware as a data structure in the SCADA. It allows then the control and monitoring of the defined registers using their name, without the need to know the details of the hardware behind. The fwHw tool also provides the facility of defining and applying recipes named sets of configurations which can be used to easily configure the hardware according to specific needs.

scholarly journals Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages

2019 ◽  
Vol 19 (2) ◽  
pp. 229-261 ◽  
Author(s):  
JAN WIELEMAKER ◽  
FABRIZIO RIGUZZI ◽  
ROBERT A. KOWALSKI ◽  
TORBJÖRN LAGER ◽  
FARIBA SADRI ◽  
...  
Keyword(s):  
Data Analysis ◽  
User Interfaces ◽  
Web Application ◽  
Web Server ◽  
Educational Material ◽  
Graphical User Interfaces ◽  
Probabilistic Logic ◽  
Programming Environments ◽  
Web Based ◽  
Front End

AbstractProgramming environments have evolved from purely text based to using graphical user interfaces, and now we see a move toward web-based interfaces, such as Jupyter. Web-based interfaces allow for the creation of interactive documents that consist of text and programs, as well as their output. The output can be rendered using web technology as, for example, text, tables, charts, or graphs. This approach is particularly suitable for capturing data analysis workflows and creating interactive educational material. This article describes SWISH, a web front-end for Prolog that consists of a web server implemented in SWI-Prolog and a client web application written in JavaScript. SWISH provides a web server where multiple users can manipulate and run the same material, and it can be adapted to support Prolog extensions. In this article we describe the architecture of SWISH, and describe two case studies of extensions of Prolog, namely Probabilistic Logic Programming and Logic Production System, which have used SWISH to provide tutorial sites.

scholarly journals Design a control system for observing vibration and temperature of turbines

2021 ◽  
Vol 24 (3) ◽  
pp. 1437
Author(s):  
Omar Farhan Al-Hardanee ◽  
İlyas Çankaya ◽  
Abdulmuttalib A. Muhsen ◽  
Huseyin Canbolat
Keyword(s):  
Control System ◽  
High Temperature ◽  
User Interfaces ◽  
Hydroelectric Power Plant ◽  
Graphical User Interfaces ◽  
Hydroelectric Power ◽  
Water Flows ◽  
The Core ◽  
Permissible Limits ◽  
Control And Monitoring System

The core of a typical hydroelectric power plant is the turbine. Vibration and overheating in a turbine occur when water flows through it, and with increased vibration and high temperature, it will cause the turbine blade to break. In this study, the control and monitoring system is designed to predict and avoid any error before it occurs. This process is achieved by measuring vibration and temperature using sensors and sending signals through the Arduino to the graphical user interfaces (GUI), the system compares the signals taken from the sensors with the permissible limits, and when the permissible limits are exceeded, the processor takes appropriate measures to open and close the turbine gates, where the data is displayed in matrix laboratory graphical user interfaces (MATLAB’s GUI) screen. In this way, monitoring is done, and the appropriate action are taken to avoid mistakes.

Graphical User Interfaces in Computer-Aided Control System Design

2020 ◽  
pp. 561-578
Author(s):  
H. A. Barker ◽  
M. Chen ◽  
P. W. Grant ◽  
C. P. Jobling ◽  
P. Townsend
Keyword(s):  
Control System ◽  
System Design ◽  
User Interfaces ◽  
Graphical User Interfaces ◽  
Control System Design ◽  
Computer Aided

scholarly journals ManagedITK: .NET Wrappers for ITK

2007 ◽  
Author(s):  
Dan Mueller
Keyword(s):  
User Interfaces ◽  
Source Code ◽  
Graphical User Interfaces ◽  
Easy Integration

ManagedITK generates wrappers around ITK for .NET languages. These wrappers can be used with any CLR language, including C#, VB.NET, IronPython, and others. ManagedITK is useful for a number of reasons, including the ability to rapidly create graphical user interfaces using Windows Forms (also known as System.Windows.Forms). Full source code and many in-depth examples accompany this article. Pre-compiled .NET assemblies can also be downloaded for easy integration into standalone C# applications.

Protecting User Interfaces

2017 ◽  
Author(s):  
Noam Shemtov
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
User Interfaces ◽  
Patent Protection ◽  
The United States ◽  
Graphical User Interfaces ◽  
Unfair Competition ◽  
European Patent ◽  
Intellectual Property Rights Protection

This chapter examines the scope of protection to which graphical user interfaces may be eligible under various intellectual property rights: namely, trade marks, unfair-competition laws, design rights, copyright, and patents. It first considers the extent of copyright protection over a software product’s ‘look-and-feel’ elements, with particular emphasis on graphical user interfaces protection under US and EU laws. It then discusses trade-mark, trade-dress, and unfair-competition protection for graphical user interfaces, along with intellectual property rights protection for design patents and registered designs. Finally, it describes the patent protection for graphical user interfaces in the United States and at the European Patent Office.

epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks

2020 ◽  
pp. 247263032097745
Author(s):  
Roman Bruch ◽  
Paul M. Scheikl ◽  
Ralf Mikut ◽  
Felix Loosli ◽  
Markus Reischl
Keyword(s):  
Social Interactions ◽  
User Interfaces ◽  
Particle Tracking ◽  
Group Behavior ◽  
Correction Method ◽  
Graphical User Interfaces ◽  
Study Group ◽  
Automated Tracking ◽  
User Friendly ◽  
Track Analysis

Behavioral analysis of moving animals relies on a faithful recording and track analysis to extract relevant parameters of movement. To study group behavior and social interactions, often simultaneous analyses of individuals are required. To detect social interactions, for example to identify the leader of a group as opposed to followers, one needs an error-free segmentation of individual tracks throughout time. While automated tracking algorithms exist that are quick and easy to use, inevitable errors will occur during tracking. To solve this problem, we introduce a robust algorithm called epiTracker for segmentation and tracking of multiple animals in two-dimensional (2D) videos along with an easy-to-use correction method that allows one to obtain error-free segmentation. We have implemented two graphical user interfaces to allow user-friendly control of the functions. Using six labeled 2D datasets, the effort to obtain accurate labels is quantified and compared to alternative available software solutions. Both the labeled datasets and the software are publicly available.

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