Current Issue : July - September
Volume : 2021
Issue Number : 3
Articles : 5 Articles
An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In
this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria
and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization
is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial
neural networks for AI based engineering applications....................
A methodology for scalable and concurrent real-time implementation of highly recurrent
algorithms is presented and experimentally validated using the AWS-FPGA. This paper presents a
parallel implementation of a KNN algorithm focused on the m-QAM demodulators using high-level
synthesis for fast prototyping, parameterization, and scalability of the design..............
Over the past two decades, Long Short-Term Memory (LSTM) networks have been used
to solve problems that require modeling of long sequence because they can selectively remember
certain patterns over a long period, thus outperforming traditional feed-forward neural networks
and Recurrent Neural Network (RNN) on learning long-term dependencies. However, LSTM
is characterized by feedback dependence, which limits the high parallelism of general-purpose
processors such as CPU and GPU. Besides, in terms of the energy efficiency of data center applications,
the high consumption of GPU and CPU computing cannot be ignored...............
Additive manufacturing (AM) has gained increasing attention over the past years due to
its fast prototype, easier modification, and possibility for complex internal texture devices when
compared to traditional manufacture processing. However, potential internal defects are occurring
during AM processes, and it requires real-time inspections to minimize the costs by either aborting
the processing or repairing the defect. In order to perform the defects inspection, first the defects
database NEU-DET is used for training. Then, a convolution neural network (CNN) is applied to
perform defects classification. For real-time purposes, Field Programmable Gate Arrays (FPGAs)
are utilized for acceleration............
This paper focuses on the design and development of a reconfigurable three-degree-of-freedom articulated robot for conducting
pick-and-place tasks. To implement the system, an Android platform for the manual control of an articulated robot using wireless
Bluetooth technology was developed. This application allows the user to manually reconfigure the robot following the requirements
of the integrated system via a user-friendly display. The articulated robot comprises four motors, three of which are
used for positioning and orientation and finally used to carry out the pick-and-place task. An Arduino Un R3 board is used to
control the movement of the links via a pulse width modulation method..............
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