scholarly journals Graphical user interface for the patterns detection in wine crops

2021 ◽  
pp. 1-8
Author(s):  
Ricardo Jara-Ruiz ◽  
Luis Ángel Rodríguez-Padilla ◽  
Yadira Fabiola López-Álvarez ◽  
Martín Eduardo Rodríguez-Franco
Keyword(s):  
User Interface ◽  
Real Time ◽  
Graphical User Interface ◽  
Programming Environment ◽  
Design And Development ◽  
Optimal Development ◽  
Color Recognition ◽  
Matlab Programming ◽  
Technology Type

Considering that our country has an important participation in the grape productive sector for this reason it is one of the crops with the best opportunity areas for the implementation of this technology type. In this paper the design and development of a Graphical User Interface (GUI) generated in the MATLAB programming environment is exposed, through which the pictures acquisition and process from interest information is carried out to implement patter recognition strategies in the wine crops agroindustrial sector to monitor and generate a timely diagnostic of its currently status. The GUI has a section than allows the pictures acquisition in real time to later capture the information to be processed and through the application of filters and color recognition techniques on the crop leaf (study object) it’s processed to establish a diagnostic, which will allow the user to apply the appropriate measures contributing in the best way to a crop optimal development.

Concurrency Control in Real-Time E-Collaboration Systems

2009 ◽  
pp. 211-218
Author(s):  
Wenbing Zhao
Keyword(s):  
User Interface ◽  
System Design ◽  
Real Time ◽  
Graphical User Interface ◽  
Concurrency Control ◽  
Wide Area ◽  
Wide Area Networks ◽  
System State ◽  
Decentralized System ◽  
Tightly Coupled

For all e-collaboration systems, some degree of concurrency control is needed so that two people do not step on each other’s foot. The demand for good concurrency control is especially high for the tightly coupled, real-time e-collaboration systems. Such systems require quick responses to user’s actions, and typically require a WYSIWIS (what you see is what I see) graphical user interface (Ellis, Gibbs, & Rein, 1991). This requirement, together with the fact that users are often separated geographically across wide-area networks, favors a decentralized system design where the system state is replicated at each user’s site. This places further challenges on the design of concurrency control for these systems.

Benefiting Design Even Late in the Development Cycle: Contributions by Human Factors Engineers

1996 ◽  
Vol 40 (5) ◽  
pp. 318-322 ◽  
Author(s):  
Merissa Walkenstein ◽  
Ronda Eisenberg
Keyword(s):  
Experimental Study ◽  
User Interface ◽  
Human Factors ◽  
Graphical User Interface ◽  
User Interfaces ◽  
Late Stage ◽  
Development Process ◽  
Graphical User Interfaces ◽  
Design And Development ◽  
Development Cycle

This paper describes an experimental study that compares a graphical user interface for a computer-telephony product designed without the involvement of a human factors engineer to a redesign of that interface designed with a human factors engineer late in the development cycle. Both interfaces were usability tested with target customers. Results from a number of measures, both subjective and objective, indicate that the interface designed with the human factors engineer was easier to use than the interface designed without the human factors engineer. The results of this study show the benefits of involving human factors engineers in the design of graphical user interfaces even towards the end of a development cycle. However, this involvement is most effective when human factors engineers are included as an integral part of the design and development process even at this late stage in the process.

scholarly journals An IoT Enabled Worker Safety System Using Gas and Temperature System

2019 ◽  
pp. 139-143
Author(s):  
Divyesh Patel ◽  
Arpita Shah ◽  
Hetal Shah
Keyword(s):  
User Interface ◽  
Real Time ◽  
Graphical User Interface ◽  
Temperature Sensors ◽  
Safety System ◽  
Worker Safety ◽  
Usb Interface ◽  
Points Of Interest ◽  
Time Position ◽  
Arduino Microcontroller

This paper aims to build up a model for an online remote gas and temperature checking device for worker’s safety in sewage pipelines. The device is WSN based microcontroller equipped with analog and digital sensor. The design included several units mainly: Arduino Microcontroller MQ-135, DHT11, Gas and Temperature Sensors, and the current regulator circuit. The sensors are connected with a microcontroller through an ADC for advanced flag change and information logging. An LCD show is likewise associated with the microcontroller to show the estimations. For examination and filing purposes, the information can be exchanged to a PC with a graphical UI program through a USB interface. The device displays toxic gas and workers real-time position, transmit information remotely via a graphical user interface to IBM bluemix provide adjacent help. By keeps observing, this model will prone to diminish mishaps and slowly spares an existence. The model has numerous points of interest when contrasted with other checking frameworks as far as its littler size, gigantic memory limits, on-gadget show, bring down cost and more noteworthy versatility.

scholarly journals AMi: a GUI-based, open-source system for imaging samples in multi-well plates

2019 ◽  
Vol 75 (8) ◽  
pp. 531-536 ◽  
Author(s):  
Andrew Bohm
Keyword(s):  
User Interface ◽  
Open Source ◽  
Real Time ◽  
Graphical User Interface ◽  
Field Enhancement ◽  
Depth Of Field ◽  
Raspberry Pi ◽  
Real Time Imaging ◽  
Translation Stage ◽  
Multiple Sample

Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples.

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