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Keyword: AppA Recommendation Approach in Social Learning Based on K-Means Clustering
E-learning, among the most prominent modes of learning, offers learners the opportunity to attend online courses. To improve the quality of online learning, social learning through social networks promotes interaction and collaboration among learners. As part of the learning process management in these environments, the implementation of recommendation systems facilitates the provision of content adapted…
Read MoreAn Innovative Angle of Attack Virtual Sensor for Physical-Analytical Redundant Measurement System Applicable to Commercial Aircraft
The angle of attack is a critical flight parameter for commercial aviation aircraft, because automatic envelope protection systems rely on it to keep the aircraft within its safe flight envelope. Faulty measurements of the angle of attack could have catastrophic effects, leading to aircraft loss of control in flight and fatalities, as demonstrated by the…
Read MoreAn Enhanced Artificial Intelligence-Based Approach Applied to Vehicular Traffic Signs Detection and Road Safety Enhancement
The paper treats a problem for detection and recognition objects in computer vision sector, where researchers recommended OpenCV software and development tool, it’s several and better-remembered library resource for isolating, detecting, and recognition of particular objects, what we would find an appropriate system for detecting and recognition traffic roads signs. The robustness with optimization is…
Read MorePrototype of an Augmented Reality Application for Cognitive Improvement in Children with Autism Using the DesingScrum Methodology
In this COVID-19 pandemic, it has been registered that children with autism are not learning properly with this virtual modality in Peruvian education. The main objective of this research work is to design a mobile application with augmented reality so that autistic children can improve their cognitive development in their virtual and face-to-face classes, the…
Read MoreSmart Collar and Chest Strap Design for Rescue Dog through Multidisciplinary Approach
Rescuers escorted search dogs into the disaster area, using their unique sense of smell to find the injured. First, researchers summarize the design requirements in the search process from interviews with rescuers, and construct a conceptual prototype to confirm the interaction mode between the user and the dog. User central design invited people melt into…
Read MoreHeuristic Techniques as Part of Heuristic Methods and Interaction of Personality Types in their Application
The widespread team project method is more effective when used in conjunction with heuristic methods. The large number of heuristic methods and the variety of their descriptions create a problem to prepare students for the use of these methods. A method based on two areas of knowledge – heuristics and psychology – is proposed. The…
Read MoreApplications of TCAD Simulation Software for Fabrication and study of Process Variation Effects on Threshold Voltage in 180nm Floating-Gate Device
In this work, a study of the process variation effects on the threshold voltage of a floating- gate device is proposed. The study demonstrates the sensitivity of the threshold voltage to five geometrical parameters including gate length, gate width, tunneling gate oxide thickness, bottom oxide-nitride-oxide oxide thickness, and nitride spacer thickness. This paper also proposed…
Read MoreAn Evaluation of some Machine Learning Algorithms for the detection of Android Applications Malware
Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…
Read MoreA Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans
Today, Drowning is the 3rd major cause for unintentional injury death accounting for 7% of deaths of all injury deaths. Drowning is a state of suffocation when water or other fluids accumulate the lungs, resulting in respiratory impairment, ultimately leading to death. The predominant problem during rescue operations of such accidental drowning is to locate…
Read MoreDesign of Power Efficient Routing Protocol for Smart Livestock Farm Applications
The demand on livestock as a source of protein is increasing with the dramatic increase of world population which approaches 8 billion. As a result, the monitoring of the performance of livestock breeding is becoming essential. The technique which could increase livestock production and improve the efficiency of operation is digitalization of livestock management .…
Read MoreHigh-Performance Computing: A Cost Effective and Energy Efficient Approach
The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…
Read MoreA Framework for Adoption and Diffusion of Mobile Applications in Africa
The adoption and diffusion of mobile applications (mobile apps) has become the base of modern activities in Africa owing to the services and values that are obtained through mobile apps innovations. More emphasis has been on the development of mobile apps whereas the adoption and diffusion process as well as their predictors are ignored or…
Read MoreA Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and…
Read MoreApplication of Deep Belief Network in Forest Type Identification using Hyperspectral Data
Forest mapping by remote sensing is a hot topics in forestry. At present, many researchers focus on the research of forest type classification or tree species identification using different machine learning methods and try to improve the accuracy of classification of satellite image. However, forest type classification using deep belief network (DBN) is still limited…
Read MoreA Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)
Traditional networks have difficulty in meeting the technological developments and the continuous increase in the size of data to be processed. Software-Defined Network (SDN) approach has emerged as an alternative to traditional networks. SDN separates the control and data planes from each other and manages the network over the control plane with flexibility and cost…
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 MoreFabrication and Optimization of High Frequency ZnO Transducers for Both Longitudinal and Shear Emission: Application of Viscosity Measurement using Ultrasound
This paper covers the study of high-frequency (~ 1 GHz) ZnO piezoelectric transducer integrated on a silicon substrate able to generate both compressional and shear acoustic waves. First, to promote the longitudinal mode, an electrical matching of the transducer in this high-frequency range is effectuated. Second, to promote shear waves, new deposition conditions were applied,…
Read MoreEvaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia
Interpolation tools are used daily in hydrology and climatology. With the purpose to regionalize spot´s registration parameters, such as depth of precipitation, temperature, humidity, among others. The accuracy of these methods is not fully validated. This research presents a comparative study between the most used interpolation methods for the regionalization of hydrological and climatological parameters.…
Read MoreWideband Active Switch for Electronic Warfare System Applications
Discrete component based ultra-wideband SPDT switch modelling, design and implementation challenges are reported in this article. The basic SPDT switch is planned to design using PIN diodes (bare die). Nonlinear parameters extraction steps of PIN diode from datasheets have been proposed in this article instead of using readymade nonlinear PIN diode models. Equalizers are designed…
Read MoreComputer Vision for Industrial Robot in Planar Bin Picking Application
This research presents an effectively autonomous method that can save time and increases productivity for an assembly line in industry by using a 6DOF manipulator and computer vision. The objects are flat, aluminum type and randomly stacked in a box. Firstly, 2D color image processing is performed to label the object, then using 3D pose…
Read MoreEvolution of Teaching Approaches for Science, Engineering and Technology within an Online Environment: A Review
The emergence of the COVID-19 pandemic earlier this year destabilised the operations in the education sector, particularly in institutions of higher learning. Most of these institutions are now expected to teach online, assess their students using non-venue examinations and offer remote laboratory practical and experiments. However, many of these institutions were not prepared for such…
Read MoreA Novel Approach of Smart Logistics for the Health-Care Sector Using Genetic Algorithm
The heath-care sector has confronted significant difficulties in the past few years due to several issues such as insufficient human resources, budget cuts, and shortage of equipment and drugs. The logistics in the health-care sector take an extensive part of the budget, especially since it is the main axis to provide the hospital’s pharmacies with…
Read MoreEvaluation of the Physico-Chemical Properties of Soil and Apple Leaves (Malus Domestica) in Beni Mellal-Khenifra Region, Morocco
The apple tree (Malus domestica) is an agricultural species of great importance in Morocco. Currently, it occupies about a quarter of the surface of fruit-bearing rosaceae. Apple tree production has evolved rapidly, stimulated by a buoyant market, a varietal range which is tending to diversify and a dynamic profession. The present study aims to determine…
Read MoreDesign of a Mobile Application for the School Enrollment Process in Order to Prevent Covid-19
In 2020, a great change occurred around the world due to the covid-19 pandemic, daily activities were restructured and thanks to technological advance it has been an ideal means to carry out remote work. With regard to education in Peru, it was paralyzed for a long time and only obtained in later months the option…
Read MoreDocker-C2A : Cost-Aware Autoscaler of Docker Containers for Microservices-based Applications
This article proposes a cost-aware autoscaler for microservices-based applications deployed with docker containers. This autoscaler decreases the cost of the application deployment as it reduces computing resources. In elastic treatment, microservice resources are scaled when the used metric as the central processing unit (CPU) exceeds the threshold. In case of threshold exceeding, an autoscaler adds…
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