Using the project‐based learning approach for incorporating an FPGA‐based integrated hardware/software tool for implementing and evaluating image processing algorithms into graduate level courses

Self Cite

The majority of academic tools for supporting the collaboration between students in Computer Science education have mainly incorporated functionalities for sharing documents and enabling discussions about specific topics. However, nowadays it has never been more imperative for educators to understand how to adapt new functionalities and technologies into real teaching contexts to improve knowledge construction; web-based real-time experimentation under a collaborative environment can be a good solution. This article presents a web-based tool, the Collaborative Lab for FPGA-based Digital Image Processing, that has been applied as a teaching aid in an undergraduate course using digital image processing and Field Programmable Gate Array (FPGA) technologies. Finally, collaborative experimentation in diverse digital image processing practices is shown. ß 2013 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:92-108, 2015; View this article online at wileyonlinelibrary.com/journal/cae;

Section: Related Workmentioning

confidence: 96%

CoLFDImaP: A web‐based tool for teaching of FPGA‐based digital image processing in undergraduate courses

García

Guzmán‐Ramírez

Pacheco

2013

Self Cite

“…The FPGA based implementations provide flexibility in designs, rapid prototyping, parallel processing capability, reconfigurability and real‐time response. FPGAs are used widely nowadays in a lot of different fields such as ASIC designs, communication systems, signal and image processing . Also, FPGA is one of the most common technologies in the robotic applications.…”

Section: The Modeling Simulation and Implementation Stages Of The Cmentioning

confidence: 99%

Modeling, simulation, and implementation issues of CPGs for neuromorphic engineering applications

Korkmaz

Öztürk

Kılıç

2018

Neuromorphic engineering is a discipline used to develop hardware, which can mimic the characteristics and abilities of biological systems by investigating their physiological structures and data transfer mechanisms. The recent studies about the neuromorphic systems mostly consist of robotic applications whose designs are inspired by Central Pattern Generators (CPGs). CPGs are special neural networks which can produce coordinated rhythmic activity patterns and these rhythmic movements are modeled mathematically, tested with simulation programs and verified by hardware implementations. A reconfigurable hardware platform (Field Programmable Gate Array “FPGA”) is compatible with numerical simulation tools, allows software control over hardware, has a user‐friendly interface and allows real time modifications. Thus, recently, it is preferred in CPG based robotic applications. In this study, the details of the modeling, simulation and implementation stages of several CPG structures are introduced by using a digital reconfigurable hardware platform. In order to show the conceptual learning achievements of these stages and to assess the contribution to the modeling, simulation and implementation skills of the students, a training course has been planned for the undergraduate students at Erciyes University. This process has been held in an educative manner supported by a survey and an experimental examination, so that this training course has been evaluated by the trainees in terms of the advantage, practicality, and challenge.

“…Our previous research has introduced an innovative Project‐Based Learning (PBL) approach to teach basic algorithms for real‐time image processing using an FPGA‐based system as the main support into undergraduate level courses . Thus, instead of learning heavy programming tasks and mathematical functions, students are led step by step through five phases and then allowed to experiment with different algorithms.…”

Section: The Fpga Role In Engineering Educationmentioning

confidence: 99%

Teaching real‐time video processing theory by using an FPGA‐based educational system and the “learning‐by‐doing” method

Guzmán‐Ramírez

García

González

et al. 2017

In the present study, we introduce a FPGA‐based educational system called RELI‐EVA (REconfigurable‐Logic‐based system for Implementation and Evaluation of real‐time Video processing and analysis of Algorithms), which has been integrated into a Computer and Electronic Engineering course by following the “learning‐by‐doing” approach. Therefore, the aim of this system is to provide engineering students with an intuitive tool in order to understand the main algorithms for real‐time video processing and create and test some new algorithms before their real implementation in physical systems. Moreover, with the aim of demonstrating the potential of the developed FPGA‐based system, the development of a practical example for edge detection is presented in order to support the theoretical basis of real‐time video processing. Additionally, a qualitative research method was followed to evaluate the proposed tool. A high percentage of the surveyed students corroborated the success of RELI‐EVA as part of an engineering course. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:376–391, 2017; View this article online at http://www.wileyonlinelibrary.com/journal/cae; DOI