As Industry 4.0 networks continue to evolve at a rapid pace, they are becoming increasingly complex and distributed. These incorporate range of technologies that integrated into smart manufacturing systems, requiring adaptability, security, resilience. However, managing the complexity presents significant challenges, particularly in terms security integration diverse functioning efficient infra...

We propose a neural networks-based learning mechanism for tracking in an RFID tag field. As users move through the field to a desired destination, they train localities of tags, creating digital trails. Later on, users seeking the destination, but without knowledge of any path, can follow the digital trails. Training information (weights from the neural networks) is stored in the tags. Our syst...

Multidimensional wave digital filters (MDWDFs) [1, 2] have recently been applied toward the numerical simulation of distributed systems. The basic procedure for deriving an algorithm is similar to that which was originally developed for deriving wave digital filter [3, 4] structures from lumped analog networks, though in that case, the application was to filter design, and not explicitly to sim...

This paper presents a comparative study between digital signal processing (DSP) systems and artificial neural networks (ANN’s) for object motion detection and object extraction. The ANN’s are arranged as an ensemble to perform the motion detection and image subtraction function. The ANN system displays a superior performance over the DSP in terms of system complexity and image quality. Index te...

The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research into the creation of different types of topologies with the aim of improving existing networks and creating new architectures which allow for improved detection.

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The growth of computer networks has boosted the growth of the information technology sector to a greater extent. At the same time care is taken to prevent the unauthorized use of the images commercially and also the observer is encouraged to patronize the institution that owns the material. To satisfy both these needs simultaneously the owner needs to use visible watermarking. Visible watermark...

This paper proposes a discrete recurrent neural network model to implement winner-take-all function. This network model has simple organizations and clear dynamic behaviours. The dynamic properties of the proposed winner-take-all networks are studied in detail. Simulation results are given to show network performance. Since the network model is formulated as discrete time systems , it has advan...