Employed VeriLite simulation to improve SOC design and verification

Sung, Wen‐Tsai; Ou, Shih-Ching; Liu, Yufeng; Chen, Chia-Hao

doi:10.1002/cae.20404

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…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

Comp Applic In Engineering

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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.

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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

Comp Applic In Engineering

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“…Notes: Benchmark-1 [81]: Home Care System and Wireless Bio Medical Products (Frontline Test Equipment Inc.); Benchmark-2 [82]: ZigBee Embedded Wireless Sensor Networks for Medical Care System (Ke Chung Technology Inc.).…”

Section: Figurementioning

confidence: 99%

Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design

Sung

Chen

Chang

2013

Sensors

Self Cite

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As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled.

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“…Over the past decade, FPGA‐based systems have been moved towards higher abstraction levels and they have been integrated into many engineering education contexts with the aim of overcoming this problem, because the use of this technology can add a certain level of realism to the learning experience . Furthermore, the theory and practice of working with FPGAs have become a major part of the curriculum of many universities through new opportunities for classroom learning, such as embedded systems development [14,15], System‐on‐a‐Programmable‐Chip (SoPC) design [16,17], hardware/software co‐design , computer architecture [19,20], and real‐time processing implementations [21,22]. In our specific context, the education of engineering students, almost all universities offer introductory and advanced courses that focus on real‐time digital image and video processing.…”

Section: Introductionmentioning

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

Comp Applic In Engineering

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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

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Employed VeriLite simulation to improve SOC design and verification

Cited by 5 publications

References 36 publications

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

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

Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design

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

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