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Parallel random bitstreams from a single source of entropy based on nonthermal electrochemical microplasma
This study presents the simultaneous generation of two uncorrelated and continuous high-quality random bitstreams originating from a single physical system based on confined, nonthermal electrochemical microplasma operating under atmospheric conditions. The randomness is intrinsically inherited from the time-resolved electrical current and optical emission intensities of the microplasma system
Evaluation of Software Static Analyzers
With the massive increase of software applications and websites, testing has become a very important concern in the software development process. This is due to the spread of a large number of security flaws. Dynamic testing requires code execution to examine the functional and non-functional behavior of software systems. It requires more time and cost, and it finds fewer bugs. On the other hand
Fully Automated Fabric Defect Detection Using Additive Wavelet Transform
This paper introduces a proposed fabric defect detection technique based on additive wavelet transform. In this paper, à trous wavelet is utilized to extract the approximate sub image at an appropriate level. The objective of the proposed technique is to enhance energy of defective region and attenuate energy of background in the selected level. An improved thresholding method based on statistical
Technology disruption for development and peace
Everything is going digital around us! Disruptive technologies and their disruptive use models are creating a new world and a different future. Over the last few years, the creation and utilization of technologies has played a critical role to improve the life quality of people, advance economies, and open new horizons for individuals, businesses, and even nations around the world. This is the
Path Planning of a Self Driving Vehicle Using Artificial Intelligence Techniques and Machine Vision
This paper aims to implement an efficient model of the most optimum path to follow an object on a Self Driving Vehicle (SDV). The path of the vehicle is predicted by using Machine Vision (MV) and Neural networks (NN) model. The NN model uses numerous amounts of training data. First the system works by using the MV algorithms to detect objects with predefined colors. Then, the location of the
Controllable synthesis of Co1−x M xFe2O4 nanoparticles (M = Zn, Cu, and Mn; x = 0.0 and 0.5) by cost-effective sol–gel approach: analysis of structure, elastic, thermal, and magnetic properties
Substitutions of cations were considered to be the main way for improving the performance of ferrite nanocrystalline structures. In this paper, non-magnetic and magnetic ions were conducted to substitute cobalt spinel ferrite nanoparticles CoFe2O4 NPs (CFO NPs). The studied Co1−xMxFe2O4; M = Zn, Cu, and Mn; x = 0.00, and 0.50) samples were synthesized through a cost-effective sol–gel technique
Constitutive equation for compressible non-isothermal polymeric fluids: A microstructural approach
This contribution presents a microstructural approach to relax both the incompressibility and the isothermality constraints in the elastic-dumbbell model. This results in a compressible version for the Smoluchowski equation which is used to derive a non-isothermal compressible evolution equation for the conformation tensor for a general spring force. The devised general equation is used to derive
Self-Reproducing Hidden Attractors in Fractional-Order Chaotic Systems Using Affine Transformations
This article proposes a unified approach for hidden attractors control in fractional-order chaotic systems. Hidden attractors have small basins of attractions and are very sensitive to initial conditions and parameters. That is, they can be easily drifted from chaotic behavior into another type of dynamics, which is not suitable for encryption applications that require quite wide initial
Realistic Wireless Smart-Meter Network Optimization Using Composite RPL Metric
In smart metering applications, transferring and collecting data within delay constraints is crucial. IoT devices are usually resource-constrained and need reliable and energy-efficient routing protocol. Furthermore, meters deployed in lossy networks often lead to packet loss and congestion. In smart grid communication, low latency and low energy consumption are usually the main system targets