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Volume 91, Issue CJun 2022
Reflects downloads up to 14 Jan 2025Bibliometrics
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Regular papers
research-article
FPGA implementation of piecewise linear spiking neuron and simulation of cortical neurons
Abstract

Modeling and hardware implementation of artificial neurons is an important goal in the field of neuromorphic and brain-inspired computing. This paper presents a hardware implementation method of the two-dimensional piecewise linear ...

research-article
State-based switching multi-rate controller for improving resource utilization on predictable and composable platforms
Abstract

Resource sharing is a crucial design consideration in design of embedded systems for cost and resource utilization reasons. The system-level performance is negatively influenced by resource sharing due to inter-application ...

research-article
An area-time efficient point-multiplication architecture for ECC over GF(2m) using polynomial basis
Abstract

The modern age has seen an enormous progress in communications. Millions of devices communicate over the web transmitting confidential information which sometimes is of national importance. Securing these devices has become prime ...

research-article
A hardware framework for fall detection using inertial sensors and compressed sensing
Abstract

Falls are the leading cause of sudden and accidental injuries in the elderly. With the aging of the world’s population, one concern of the elderly increase as well. Notably, the rate of fall accidents and hospitalizations related to ...

Highlights

  • Combine Machine Learning and Compressed sensing technique to classify a human activity and reduce data dimension and energy consumption.

research-article
Savitzky Golay and KPCA based Optimal Discrete Wavelet Transform Architecture for Image Compression
Highlights

  • In pre-processing, Savitzky Golay filtering technique (SGFT) is utilized to eliminate the noise signals thereby generating accurate results.

ABSTRACT

In recent years, the DWT acts as an effective tool in image compression and decomposition. There exist numerous transform techniques for compressing images but there occurs information loss and low picture quality. To overcome such ...

Graphical abstract

Display Omitted

research-article
A hybrid network architecture by integrating both 2.4 GHz network and Sub-GHz network and its application in field environment surveillance system
Abstract

Various networks, many of which are composed of embedded systems, are interconnected to form Internet of Things (IoT), in order to cooperate to provide more intelligent service for people. It can be imagined that the networks ...

research-article
Resource Optimized Selective Image Encryption of Medical Images Using Multiple Chaotic Systems
Abstract

Medical images typically contain personal and diagnostic information about patients and are typically shared among hospitals, doctors, and patients via public networks. As a result, they must be kept secure while being stored and ...

research-article
Toward Privacy Protection of Sensed Biometric Features with Extended Visual Cryptography
Abstract

The popularity of more powerful and smarter digital devices has improved the quality of life and poses new challenges to the privacy protection of personal information. Although traditional encryption algorithms are effective in most ...

research-article
Anomaly detection in wearable location trackers for child safety
Highlights

  • A low powered gyroscope-enabled electronic tracker using LDO converters was fabricated.

Abstract

Child Location trackers are widely available devices but the ability of these trackers to detect outlying incidents remain untapped. The main goal of this research is to incorporate anomaly detection in wearable child location trackers ...

research-article
Development of a Handheld IoT-Based Fruit Harvester to support Agrotourism
Abstract

Agrotourism, a development in the tourism industry that can increase the economic potential of an area, offers many activities, such as fruit picking tours. Fruit picking, a crucial part of the harvesting process, involves separating ...

research-article
FPGA-based reservoir computing system for ECG denoising
Highlights

  • SNRC is proposed to overcome noises that corrupt ECG signals.
  • Two typical types ...

Abstract

ECG is corrupted by various noises such as baseline wander, channel noise, Electromyogram (EMG) noise, and power line interference (PLI). These noises make diagnosis difficult. In this paper, we implement an inexpensive, portable ...

Special issue on Artificial Intelligence
research-article
Pre-Silicon NBTI Delay-Aware Modeling of Network-on-Chip Router Microarchitecture
Abstract

With enhancement of technology downscaling and packaging allows us to put more and more transistors within the same chip area. The Moore’s law still shows the growth in yield with increasing transistor density in deep sub-micron. This ...

Special issue on Artificial Intelligence for Self-Organizing Smart Transportation System
research-article
Hybridization of Pigeon inspired with glowworm' swarm optimization based clustering technique in wireless sensor networks
Abstract

In wireless sensor networks (WSN), clustering is treated as an energy efficient technique employed to achieve maximum network lifetime. But, the process of cluster head (CH) selection for stabilized network operation and prolonged ...

Special issue on MECO 2019
research-article
The topography of zeros and poles of a third order IIR digital filter with finite word length in the z-plane
Abstract

Earlier it was found that the zeros and poles of IIR digital filters with finite word length are elements of the set of algebraic numbers. Therefore, not every point of the unit circle of the z-plane can be a zero and / or a pole of ...

Special issue on Adaptive and Reconfigurable Embedded Systems
research-article
High-precision time synchronization chip design for industrial sensor and actuator network
ABSTRACT

Mission-critical (MC) sensor and actuator networks (SANs) are being applied widely for multiaxis motion control of robotic manipulators, particularly for performing MC tasks in smart manufacturing. One of the most challenging tasks in ...

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