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Keyword: ICIPerformance Evaluation of Convolutional Neural Networks (CNNs) And VGG on Real Time Face Recognition System
Face Recognition (FR) is considered as a heavily studied topic in computer vision field. The capability to automatically identify and authenticate human’s faces using real-time images is an important aspect in surveillance, security, and other related domains. There are separate applications that help in identifying individuals at specific locations which help in detecting intruders. The…
Read MoreNumerical Analysis for Feature Extraction and Evaluation of 3D Sickness
Artificial intelligence (AI) systems have been applied not only to numerical simulations of the economical sequences but also to the bio-signal, for instance, the statokinesigrams (SKGs). According to the nonlinear analysis of the bio-signal, we have considered that the motion process of the body sway is more random than that of the other bio-signal. In…
Read MoreLED Lighting and the Impact on the PLC Channel
Light Emitting Diode (LED) lamps are used as a replacement of “old-fashioned” or incandescent lighting sources, as they reduce the amount of energy consumed. As a side-effect of more efficient energy usage they produce electrical noise. This noise reduces the efficiency of information signal transfer when Power Line Communications (PLC) are used. This study focuses…
Read MoreLoad Balancing Techniques in Cloud Computing: Extensive Review
It has become difficult to handle traditional networks because of extensive network developments and an increase in the number of network users, and also because of new technologies like cloud computing and big data. Traditional networks are experiencing an increase in VM load and in the time taken for processing tasks. Hence, it has become…
Read MoreApplication-Programming Interface (API) for Song Recognition Systems
The main contribution of this paper is the framework of Application Programming Interface (API) to be integrated on a smartphone app. The integration with algorithm that generates fingerprints from the method ST-PSD with several parameter configurations (Windows size, threshold, and sub-score linear combination coefficient). An approach capable of recognizing an audio piece of music with…
Read MoreUsing Formal Methods to Model a Smart School System via TLA+ and its TLC Model Checker for Validation
Formal methods are one of the efficient tools to verify and validate designs for different kinds of systems. Smart systems are attracting researchers’ attention due to the rapid spread of new technologies all over the world. Modeling a smart system requires connecting heterogeneous subsystems together to build it. Our contribution to this work is in…
Read MoreUsage of Additive Manufacturing and Topology Optimization Process for Weight Reduction Studies in the Aviation Industry
The Additive Manufacturing (AM) technology is a disruptive and novel technique that changes the paradigm of manufacturing methodology. It is based on the principle of having 3D parts by adding simple 2D layers on and on. Before AM was implemented, the conventional subtractive and chip-away techniques such as milling and turning processes had been used…
Read MoreDilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
Depth prediction plays a key role in understanding a 3D scene. Several techniques have been developed throughout the years, among which Convolutional Neural Network has recently achieved state-of-the-art performance on estimating depth from a single image. However, traditional CNNs suffer from the lower resolution and information loss caused by the pooling layers. And oversized parameters…
Read MoreAdvanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
Haze removal is an extremely challenging task, and object detection in the hazy environment has recently gained much attention due to the popularity of autonomous driving and traffic surveillance. In this work, the authors propose a multiple linear regression haze removal model based on a widely adopted dehazing algorithm named Dark Channel Prior. Training this…
Read MoreDevelopment of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach
Brain-computer interface (BCI) has extensively been used for rehabilitation purposes. Being in the research phase, the brainwave based wheelchair controlled systems suffer from several limitations, e.g., lack of focus on mental activity, complexity in neural behavior in different conditions, and lower accuracy. Being sensitive to the color stimuli, the EEG signal changes promises a better…
Read MoreSecuring IPv6 Neighbor Discovery using Pre-Shared Key
Neighbor Discovery Protocol (NDP) is used to discover the MAC address of the connected hosts in Internet Protocol Version 6 (IPv6) in a networked environment. Neighbor Cache Entry (NCE) table holds the association between a host’s IP address and MAC address. However, according to the protocol, the MAC address could be overwritten by sending a…
Read MoreDependence of the Knowledge Structure of the Company Employees on a Set of the Competencies
The article substantiates the relevance of conducting research on the structural characteristics of a company’s employee knowledge, which is the result of his mental activity and his practical experience. The conditions under which information becomes a source of employee knowledge are determined. An abstract analysis of the process of transforming knowledge into an intellectual product…
Read MoreControlling A Multiphase Induction Motor with Multilevel Converter Paradigm
Induction motors (IM) are used widely in high energy applications where high torque is required such as ships/ aircrafts manufacturing industry. Those motor drivers are populated in many advantages especially their wide control strategies. However, new technology is invented for enhancing efficiency and smoothing the torque curve by increasing number of phases in the motor…
Read MoreComparative Study of Control Algorithms Through Different Converters to Improve the Performance of a Solar Panel
This article aims at comparing two controls to follow the maximum power point, making use of DC-DC converters for PV uses. All transformers operate continuously. To fulfil maximum power, we will exploit two MPPT controls: a traditional perturb – observe ‘P&O’ and a smart one – the fuzzy logic ‘FL’. The goal of this article…
Read MoreNode-Node Data Exchange in IoT Devices Using Twofish and DHE
Internet of Things provides the support for devices, people and things to collaborate in collecting, analyzing and sharing sensitive information from one device onto the other through the internet. The internet of things is thriving largely due to access, connectivity, artificial intelligence and machine learning approaches that it supports. The stability and enhanced speed of…
Read MoreAn Improved Approach for QoS Based Web Services Selection Using Clustering
With the rising number of web services created to build complex business processes, selecting the appropriate web service from a large number of web services respond to the same client request with the same functionality are developed independently but with different quality of service (QoS) attributes. From this point, there are many approaches to web…
Read MoreA Framework for the Alignment of ICT with Green IT
The Public Administration is forced to transform itself by taking advantage of the contribution of ICT to in the process of reducing bureaucracy and increase transparency, promoting the dematerialization of processes, increasing the quality of online services, allowing greater ubiquity of access, reducing response times, in the search for improvement of the quality of life…
Read MoreNeural Networks and Fuzzy Logic Based Maximum Power Point Tracking Control for Wind Energy Conversion System
In grid connected wind turbine (WT) systems, the maximum power point tracking (MPPT) approach has a crucial role in optimizing the wind energy efficiency. To search for the maximum power value of the wind turbine, this contribution proposes a new Maximum Power Point Tracking System (MPPT) for wind turbine related to a permanent magnet synchronous…
Read MoreHomology Modeling of CYP6Z3 Protein of Anopheles Mosquito
The Anopheles gambiae’s CYP6Z3 protein belongs to the Cytochrome P450 family and functions in oxidation-reduction processes, many studies including our previous work on elucidating insecticide resistance genes of the Anopheles also implicated her in pyrethroid insecticide resistance. Model prediction, functional analysis, and enrichment of the target gene with triplex binding sites may become a useful…
Read MoreUsing Supervised Classification Methods for the Analysis of Multi-spectral Signatures of Rice Varieties in Panama
In this article supervised classification methods for the analysis of local Panamanian rice crops using Near-Infrared (NIR) spectral signatures are assessed. Neural network ( Multilayer Perceptron-MLP) and Tree based (Decision Trees-DT and Random Forest-RF) algorithms are used as regression and supervised classification of the spectral signatures by rice varieties, against other crops and by plant…
Read MoreRecycling and Reuse of Wastewater Generated in Car-Washing Facilities
Fresh water is already scarce in the world, especially in the Middle East (ME). Desalination industry is the main supplier of the potable water to the municipalities in the ME region. It is well known the high cost of a liter of water produced by the desalination process. Unfortunately, car-washing service consumes substantial amount of…
Read MoreOpen Access Research Trends in Higher Education: A Literature Review
This study is a review of the literature on open access (OA), seeking to identify trends in research on the subject. This review was conducted in the SCOPUS database and focused on the following as the main topics: 1. Financial aspects, 2. Repositories, 3. Education, 4. Academic community’s perception of OA resources, 5. Tools, 6.…
Read MoreA Novel Approach for Evaluating Eddy Current Loss in Wind Turbine Generator Step-Up Transformers
South Africa is aiming to achieve a generation capacity of about 11.4GW through wind energy systems, which will contribute nearly 15.1% of the country’s energy mix by 2030. Wind energy is one of the principal renewable energy determinations by the South African government, owing to affluent heavy winds in vast and remote coastal areas. In…
Read MoreDesign Approach of an Electric Single-Seat Vehicle with ABS and TCS for Autonomous Driving Based on Q-Learning Algorithm
Compared to other types of autonomous vehicles, the single-seat is the simplest when designing, since its compact design makes it an option that can simplify different mechanical aspects and enhance those of greater importance such as the steering and the braking system. Likewise, the electronic and electrical design may be a great improvement on the…
Read MoreSurvey of Agent-Based Simulations for Modelling COVID-19 Pandemic
On the 11th of March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Part of controlling measures of the pandemic is to understand the disease’s trajectories. There are several possible interventions that can prevent and control its spread. Determining an optimal strategy is critical for policymakers to understand the impact of different…
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