An inexpensive Arduino-based LED stimulator system for vision research

This paper presents an embedded control application of clock frequency to control the pulse width of the output signals, implemented on field programmable get array. This control allows the creation of lines of Pulsewidth modulation depending on the numbers of card outputs, without using the specific "Timers /Counters" blocks; this method is effective to adjust the amount of power supplied to an electrical charge. The purpose of this work is to achieve a real time hardware implementation with higher performance in both size and speed. Performance of these designimplemented in field programmable get array virtex 5 card, and signals displayed on an asciloscope. Keyword:EDK/SDK FPGA Vertix5 Micoblaze PWM

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“…These blocks embedded in the FPGA are well detailed in table 4 with their percentages of use in each circuit. [21].…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Design and Implementation of Pulse Width Modulation Using Hardware/Software MicroBlaze Soft-Core

Zemmouri¹,

Elgouri²,

Alareqi³

et al. 2017

IJPEDS

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“…Another education board with a low-cost design consists of the driving of LED (Light Emitting Diodes) components by PWM (Pulse Width Modulation). This board has been used as a supporting part in various mental learnings [15]. Test arrangements containing the Arduino development board were designed to be used in laboratory practices in order to explain the working structures of solar cells to students better [16].…”

Section: Literature Reviewmentioning

confidence: 99%

The Determination of the Developments of Beehives via Artificial Neural Networks

Bayır

Albayrak

2018

Teh. vjesn.

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Honeybees provide great benefits for people both with the foods they produce and as a pollinator. It is known that they pass the whole year with the foods they collect in spring and summer months. Beekeepers also benefit from the honey produced in these periods. Whether a beehive works adequately or not and its status of development can be understood through the observations by beekeepers. In this study, an Arduino-supported neural network model was developed in order to obtain information about the general situations of beehives. The three-input and three-output neural networks were embedded in a board after the training and testing stage. While temperature, humidity, and weight refer to inputs, good situation, stable situation, and bad situation represent outputs. The real-time model has an accuracy of 99.84%.

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“…Servos can also be controlled by the Arduino. Scientists have used the Arduino board in diverse applications such as an LED simulator system (22), and participatory sensoring of air quality (23) This base case consisted of three elements: a wall surface, a window opening, and a window shade that could move. Conceptually, the window shade dynamically responds to the presence of a sun by moving horizontally above the window opening to effectively shade the interior space.…”

Section: Arduino Microprocessormentioning

confidence: 99%

Integration of Environmental Sensors with BIM: case studies using Arduino, Dynamo, and the Revit API

Kensek¹

2014

Inf. constr.

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Licencia / License: Salvo indicación contraria, todos los contenidos de la edición electrónica de Informes de la Construcción se distribuyen bajo una licencia de uso y distribución Creative Commons Reconocimiento no Comercial 3.0. España (cc-by-nc).Recibido/Received: 24/10/2013 Aceptado/Accepted: 18/02/2014 Publicado on-line/Published on-line: 19/11/2014 ABSTRACT This paper investigates the feasibility of connecting environmental sensors such as light, humidity, or CO 2 receptors to a building information model (BIM). A base case was created in Rhino; using Grasshopper and Firefly, a simple digital model responded to lighting-levels detected by a photoresistor on an Arduino board. The case study was duplicated using Revit Architecture, a popular BIM software, and Dynamo, a visual programming environment, in an innovative application. Another case study followed a similar procedure by implementing the Revit API directly instead of using Dynamo. Then the process was reversed to demonstrate that not only could data could be sent from sensors to change the 3D model, but changes to parameters of a 3D model could effect a physical model through the use of actuators. It is intended that these virtual/physical prototypes could be used as the basis for testing intelligent façade systems before constructing full size mock-ups.Keywords: Environmental sensors; BIM; building information model; visual scripting; Dynamo; intelligent facades. RESUMEN Este estudio investiga la posibilidad de conectar sensores ambientales como de luz, humedad, o dióxido de carbono con un modelo de información de un edificio (siglas BIM en inglés). Un caso base fue creado en

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An inexpensive Arduino-based LED stimulator system for vision research

Cited by 106 publications

References 53 publications

Design and Implementation of Pulse Width Modulation Using Hardware/Software MicroBlaze Soft-Core

Design and Implementation of Pulse Width Modulation Using Hardware/Software MicroBlaze Soft-Core

The Determination of the Developments of Beehives via Artificial Neural Networks

Integration of Environmental Sensors with BIM: case studies using Arduino, Dynamo, and the Revit API

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