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Keyword: TrueTrue Random Number Generator Implemented in ReRAM Crossbar Based on Static Stochasticity of ReRAMs
True Random Number Generators (TRNG) find applications in various fields, especially hardware security. We suggest a TRNG that exploits the intrinsic static stochasticity of Resistive Switching Random Access Memories (ReRAMs) to generate random bits. Other suggested designs use stochasticity in the switching mechanism, which requires high precision over input voltage and time. In the proposed…
Read MoreDesign of True Random Numbers Generators with Ternary Physical Unclonable Functions
Memory based ternary physical unclonable functions contain cells with fuzzy states that are exploited to create multiple sources of physical randomness, and design true random numbers generators. A XOR compiler enhances the randomness of the binary data streams generated with such components, while a modulo-3 addition enhances the randomness of the native ternary data streams,…
Read MoreAnalytical Study on the Effect of Rotor Slot Skewing on the Parasitic Torques of the Squirrel Cage Induction Machine
Skewing of the rotor slot of a squirrel-cage induction machine has been commonly used since the beginning. However, little guidance is given regarding the principle of the working effect of the method, but even in such rare cases, the explanation does not cover the true physical reality. Consequently no formula exists for calculation of the…
Read MoreEvaluation of Various Deep Learning Models for Short-Term Solar Forecasting in the Arctic using a Distributed Sensor Network
The solar photovoltaic (PV) power generation industry has experienced substantial, ongoing growth over the past decades as a clean, cost-effective energy source. As electric grids use ever-larger proportions of solar PV, the technology’s inherent variability—primarily due to clouds—poses a challenge to maintaining grid stability. This is especially true for geographically dense, electrically isolated grids common…
Read MoreOptimized Component based Selection using LSTM Model by Integrating Hybrid MVO-PSO Soft Computing Technique
Research focused on training and testing of dataset after Optimizing Software Component with the help of deep neural network mechanism. Optimized components are selected for training and testing to improve the accuracy at the time of software selection. Selected components are required to be attuned and accommodating as per requirement. Soft computing mechanism such as…
Read MoreFPGA-Based Homogeneous and Heterogeneous Digital Quantum Coprocessors
Quantum computers are heterogeneous device. It consists of a main CPU and a quantum accelerator. True quantum accelerator (or coprocessor) is analog and probabilistic device. Qubits are the basic building blocks of quantum computers. But qubits can be digital. A digital qubit is similar to RISC processor pipeline and is an unique chain of digital…
Read MoreAn Investigation of the Effect of Optimal Plane Spacing Between Electrode Planes for the EIT Industrial Applications
In this paper, the effect of plane spacing between electrode planes on Electrical Impedance Tomography (EIT) reconstructed images is investigated. Image properties of models for various plane spacings between electrode planes on EIT imaging were investigated by applying conventional measurement strategies. Sensitivity analysis and spatial resolution analysis were used to study the influence of the…
Read MoreThe Design of a Hybrid Model-Based Journal Recommendation System
There is currently an overload of information on the internet, and this makes information search a challenging task. Researchers spend a lot of man-hour searching for journals related to their areas of research interest that can publish their research output on time. In, this study, a recommender system that can assist researchers access relevant journals…
Read MoreModeling and Implementation of Quadcopter Autonomous Flight Based on Alternative Methods to Determine Propeller Parameters
To properly simulate and implement a quadcopter flight control for intended load and flight conditions, the quadcopter model must have parameters on various relationships including propeller thrust-torque, thrust-PWM, and thrust–angular speed to a certain level of accuracy. Thrust-torque modeling requires an expensive reaction torque measurement sensor. In the absence of sophisticated equipment, the study comes…
Read MoreTrust and Reputation Mechanisms in Vehicular Ad-Hoc Networks: A Systematic Review
An emerging trend has been observed in the Trust and Reputation (T & R) systems in field of decision-making support for a majority of the provisions propagated by the Internet. It is the extreme importance that peers (users) are able to trust each other and rely on them for file sharing and for services. This…
Read More360-Degree Videos, VR Experiences and the Application of Education 4.0 Technologies in Malaysia for Exposure and Immersion
Obstacles, both imagined and real, continue to hinder the wider adoption of Education 4.0 learning technologies although these technologies are available in the mainstream consumer market. At the same time, the boom in Industry 4.0 manufacturing has brought down the prices of these technological tools making them generally more affordable. A case in point is…
Read MoreEstimation of Target Maneuvers from Tracked Behavior Using Fuzzy Evidence Accrual
While the Kalman filter, including its many variants, has been the staple of the tracking community, it also has been shown to have drawbacks, particularly when tracking through a maneuver. The most common issue is a lag in the position of the target track compared to the true target position as the target performs its…
Read MoreSupporting Active Aging Through A Home Automation Infrastructure for Social Internet of Things
The number of smart devices inside the living environments grows more and more every day, and with it the need to interface them in order to share data and activate functions. Each day, new scenarios and new applications emerge to make our lives easier in many different contexts. The AAL SOCIALIZE project aims to create…
Read MoreEfficiency Assessment of Plasma-Aided Porous Media Surface Finishing
The efficiency of a plasma-aided finishing process, namely capillary impregnation, can be predicted only by setting two basic parameters of the real wood porous surface and the actual impregnating solution – surface free energy and surface tension. In general, the following processing efficiency parameter was found and the rule is true: “The plasma aided or…
Read MoreA comparative between CRISP-DM and SEMMA through the construction of a MODIS repository for studies of land use and cover change
Among the most popular methodologies for development of data mining projects are CRISP-DM and SEMMA, This research paper explains the reason why it was decided to compare them from a specific case study. Therefore, this document describes in detail each phase, task and activity proposed by each methodology, applying it in the construction of a…
Read MoreSemantic-less Breach Detection of Polymorphic Malware in Federated Cloud
Cloud computing is one of the largest emerging utility services that is expected to grow enormously over the next decade. Many organizations are moving into hybrid cloud/hosted computing models. Single cloud service provider introduces cost and environmental challenges. Also, multi-cloud solution implemented by the Cloud tenant is suboptimal as it requires expensive adaptation costs. Cloud…
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