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Keyword: FFA Didactic Balance to Solve Equations
Solving equations does not require only to well master the techniques but also to well understand the different underlying concepts and processes. Many of the mistakes made by the students are often due to misinterpretation of the concepts taught, especially the use of letters which the main conceptual obstacle that students have to overcome. We…
Read MoreSupervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease
Application in the field of medical development has always been one of the most important research areas. One of these medical applications is the early prediction system for heart diseases especially; coronary artery disease (CAD) also called atherosclerosis. The need for a medical diagnosis support system is to detect atherosclerosis at the earlier stages to…
Read MoreA Novel Demand Side Management by Minimizing Cost Deviation
In the recent times power shortage has been a major setback to deal for the effective operation of power systems. Bridging the gap between generation and demand is known as Demand Side Management (DSM). For an effective DSM strategy to be implemented, it is crucial that both utility and customers be involved. By DSM, the…
Read MoreFPGA Acceleration of Tree-based Learning Algorithms
Machine learning classifiers provide many promising solutions for data classification in different disciplines. However, data classification at run time is still a very challenging task for real-time applications. Acceleration of machine-learning hardware solutions is needed to meet the requirements of real-time applications. This paper proposes a new implementation of a machine learning classifier on Field…
Read MoreApplicability of Generalized Metropolis-Hastings Algorithm to Estimating Aggregate Functions in Wireless Sensor Networks
Over the last decades, numerous distributed consensus-based algorithms have found a wide application as a complementary mechanism for data aggregation in wireless sensor networks. In this paper, we provide an analysis of the generalized Metropolis-Hastings algorithm for data aggregation with a fully-distributed stopping criterion. The goal of the implemented stopping criterion is to effectively bound…
Read MoreThermal Performance Analysis of Parabolic Trough Solar Collector System in Climatic Conditions of Errachidia City, Morocco
The water heating with parabolic trough solar collectors (PTC) is a very widespread and at the same time quite promising solar technology. However, PTC presents several problems in terms of the profitability of water heating. For this reason, our study of water heating with PTC collectors consists of two main parts. In the first part,…
Read MoreA Review of RPL Objective Function based Enhancement Approaches
Since the release of of the IPv6 Routing protocol for Low-Power and Lossy Networks by the IETF ROLL working group, several enhancement schemes were proposed. In fact, They aim to extend the network lifetime, reduce congestion, mitigate end to end delay and moderate energy consumption. In fact, considering the vast area of Low-Power and Lossy…
Read MoreDetailed Security Evaluation of ARANz, ARAN and AODV Protocols
Ad-Hoc networks are self-organized wireless networks. Finding a secure and efficient route leading from a specific source node to an intended destination node is one of the serious concerns in mobile Ad-Hoc networks. ARANz is one of the significant protocols that has been proposed for such networks. ARANz implements the authentication methods used with the…
Read MoreDesign of Purebred Dog Recommendation System Using MCDM Approach
The dog is one of the first animals domesticated by human, and for thousands of years, it has been artificially bred into hundreds of types in order to provide certain traits that humans want. Nowadays, the selection of dogs by potential adopters has become a problem due to the availability of different type of breeds…
Read MoreTowards Directing Convolutional Neural Networks Using Computational Geometry Algorithms: Application to Handwritten Arabic Character Recognition
Suppose we want to classify a query item Q with a classification model that consists of a large set of predefined classes L and suppose we have a knowledge that indicates to us that the target class of Q belongs to a small subset from L. Naturally, this filtering will improve the accuracy of any…
Read MoreThe Ludocreative Expression for the Production of Texts in Children of Early Education
The text’s production carried out in this research aimed to 5-year-old children from the IE 555 Inmaculada Concepción, under the modality dictated to adult, had a design and application of 22 sessions during three months with the experimental group. On their methodological approach was based on the expression ludocreative, articulating the written experience jointly with…
Read MoreSearch for New Potential Breast Cancer Inhibitors (MCF7) Based on Molecular Docking and Biological Assay of Pyrazoline Analogue Compounds
Cancer is the leading cause of death in world. Currently, there are no approved vaccines to avoid the spreading of this disease. Drug discovery have played important role for discover of new potent drugs that could efficiently and cost-effectively. Pyrazoline analogue compounds known to have good potency as anti-cancer. The aim of this study is…
Read MoreA User-Item Collaborative Filtering System to Predict Online Learning Outcome
Education has seen the rapid development of online learning. Many researchers have conducted studies on the use of recommendation systems in online learning. However, until now, several similar studies still focus on the accuracy of the prediction results. Various obstacles were encountered related to changes in the face to face learning process into online learning.…
Read MoreQuantitative Approach in Enhancing Decision Making Through Big Data as An Advanced Technology
The technology of Big Data got the capability to process large amounts of data, manage them effectively and make retrieval whenever it is required. Decision making in any organisation is a challenging task since decisions need to be made based on the accessibility of data and its status, this becomes more challenging especially in large…
Read MoreTransient Analysis of a Line-Start Synchronous Reluctance Motor with Symmetrical Distributed Brass Rotor Bars
In this paper, the performance evaluation of a line-start three-phase Synchronous Reluctance Motor (SynRM) with symmetrical distributed brass rotor bars is presented. The machine, which has been designed from a conventional three-phase induction motor (IM) NEMA frame stator is proposed as an alternative to a squirrel cage induction motor (SCIM). The 2D Finite Element Analysis…
Read MoreMethod of Modelling Prices for R&D Products in the Case of their Transfer from Engineering Universities to the Business
Global changes caused by the IV Industrial revolution and globalization processes resulted in a redistribution of roles of participants in innovative infrastructures of countries. Universities are leading both in terms of generating R&D products and in terms of developing business activities. Now there is a problem of insufficient methodological support of technological universities for pricing…
Read MorePower Loss Minimization using the Integration of DGs and Reconfiguration of Distribution System: Applied on Real Distribution Feeder of Urbain Areas of Kenitra City in Morroco
Optimal integration of distributed generation (DG) into the distribution system results in reduced power losses and improved bus voltages. In this article, a combination of two techniques has been analyzed: The integration of DG and reconfiguration of the distribution system by removing the Normally Open Point NOP in different places of the system. These two…
Read MoreLow Power Bulk Driven Series Parallel OTA for Low Frequency Applications
Low power OTAs are the most preferred circuits in the realization of continuous time filters of analog front end of wearable healthcare devices. A low transconductance OTA with series parallel current mirror to realize large time constant of the filter is designed. The differential pair of the OTA uses bulk driven PMOSFETs and the subthreshold…
Read MoreFast Stream Cipher based Chaos Neural Network for Data Security in CAN Bus
Vehicle systems are controlled by embedded electronic devices called electronic control units (ECUs). These ECUs are connected together with network protocols. The Controller Area Network (CAN) protocol is widely implemented due to its high fault tolerance. However, the CAN is a serial broadcast bus, and it has no protection against security threats. In this paper,…
Read MoreA Smart Updater IT Governance Platform Based on Artificial Intelligence
This Information technology (IT) has a crucial role to improve business processes in companies. Getting the best technologies rapidly becomes as significant as understanding and developing the business plan of organizations. Thus, different IT best practices and norms are used by companies to help their services and IT business. These standards are set of best…
Read MoreThe Relation of Compression Strength with Modulus of Rupture and UPV of Concrete Containing M-sand as Fine Aggregate
The impact of Manufacture sand on UPV, compression strength and modulus of rupture has been experimentally investigated and discussed in this paper. Concrete grade 30 (30Mpa) were produced with different percentage of M sand substitution ranging from 25%, 50%, 75% and 100% by volume were selected as concrete mix design in this project. The strength…
Read MoreCriteria to Implement a Supervision System in the Petroleum Industry: A Case Study in a Terminal Storage Facility
A liquid petroleum storage facility (Terminal), is a platform used to store petroleum products. Terminals plays a strategic role on the oil and gas supply chain. There are three types of terminals: a fully automated terminal, a partially automated terminal and a fully manual terminal. To increase their efficiency and safety in a very competitive…
Read MoreLearning the Influence between Partially Observable Processes using Scorebased Structure Learning
The difficulty of learning the underlying structure between processes is a common task found throughout the sciences, however not much work is dedicated towards this problem. In this paper, we attempt to use the language of structure learning to address learning the dynamic influence network between partially observable processes represented as dynamic Bayesian networks. The…
Read MoreCase Study to Determine the Causes of Fire in Agriculture
The aim of this paper is to identify a critical link in the man – machine – environment system in the case of an adverse event, such as a hay baling fire, based on a comprehensive risk assessment method. The rate of spread of fires in agriculture depends on meteorological conditions, with large areas affected…
Read MoreMitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO
In modern deregulated power industry, private sector has invested a lot to supply for extended power demand using the preexisting power system framework. This resulted into increased loading of transmission lines which has to work now to hit their thermal limits. The overloading of transmission line resulted in congestion and hence increase in loss of…
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