Mohsen Nourazar

Mohsen Nourazar
Ghent University | UGhent · Department of Telecommunications and Information

Ph.D. in Electronics Engineering

About

9
Publications
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93
Citations

Publications

Publications (9)
Article
Full-text available
Tensor Cores are specialized hardware units added to recent NVIDIA GPUs to speed up matrix multiplication-related tasks, such as convolutions and densely connected layers in neural networks. Due to their specific hardware implementation and programming model, Tensor Cores cannot be straightforwardly applied to other applications outside machine lea...
Article
Full-text available
This paper presents a mixed-signal implementation of complex-valued FIR filter bank using a memristor-based approximate multiplier. First, a memristor-based vector–matrix multiplier was developed for complex number multiplications and then it was extended to perform the convolution operation. Finally, it was utilized for filtering application to st...
Article
In this paper, we demonstrate the feasibility of building a memristor-based approximate accelerator to be used in cooperation with general-purpose x86 processors. First, an integrated full system simulator is developed for simultaneous simulation of any multicrossbar architecture as an accelerator for x86 processors, which is performed by coupling...
Article
Full-text available
The parallel structure of matrix multipliers makes them fascinating candidates to benefit from memristors’ high density architecture. This paper first explains a memristor-based analog vector–matrix multiplier suitable for approximate computing. According to the existence of fast and efficient converters, namely, DACs and ADCs, in the field of appr...
Article
This paper presents an implementation of a weak signal detector using a Duffing oscillator on field programmable arrays (FPGAs) for the real-time detection of weak signals in noisy environments. The proposed implementation has combined the efficiency of weak signal detection by chaotic oscillators in noisy environments with the advantages of hardwa...
Article
Field programmable gate array (FPGA) implemented array of Duffing oscillators for weak signal detection in noisy environments is presented in this paper. The array of Duffing oscillators is an efficient method for detecting weak signals with unknown exact frequency and phase delay. Because of the high computation resource requirement, especially fo...
Article
Detecting the state of the Duffing oscillator, a type of well-known chaotic oscillator, deeply affects the accuracy of its application. Considering this, the present paper introduced a novel method for detecting the state of the Duffing oscillator. Binary outputs, simple calculation, high precision and fast response time were the main advantages of...
Article
Three-phase induction motors (IMs) are fundamental components in industry, and like all mechanical devices are liable to failure that can lead to the shutting down of an industrial process. Rotor bar breakage is one cause for failure, and early detection of this abnormality would help to avoid costly breakdowns. However, the detection of broken bar...
Article
Full-text available
After the successful use of duffing oscillator in weak signal detection, many researches are done on this subject. Most of these studies only analyze the efficiency of duffing oscillator on detecting the existence of weak signal and they ignore to study duffing oscillator's ability on detecting the loss of signal that was already detected. Consider...

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Projects

Project (1)
Project
Additive metal manufacturing is a growing Industry 4.0 technology that offers key opportunities to many industrial domains. However, productivity and quality limitations prevent it from gaining traction. This project aims to improve print quality, reduce waste and cut the cost of additive metal manufacturing. This goal will be accomplished by developing innovative in-situ melt pool monitoring systems to generate big, fast and accurate data, and by deploying artificial intelligence (AI) to mine these data in order to monitor and control the melt pool, product and printing process in real time.