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Keyword: CoMPLearning Personalization Based on Learning Style instruments
Adaptive education systems (AES) are considered one of the most interesting research topics in technology-based learning strategies. Since students have different abilities, needs and learning styles, we should fit the curriculum and teaching activities to these different learning styles. This study investigates the impact of using LAES (Libyan Adaptive Education System) on the performance of…
Read MoreWeight Parameters and Green Tea Effect; A Review
The objective was to review and add literature whether green tea is helpful for weight reduction. Reviewing the randomized, double-blind, placebo-controlled trials to compare green tea extracts for weight loss from various online sources including Ovid MEDLINE, PubMed, and Cochrane databases studies published in 2006, 2007 and 2008 in English language were considered. In each…
Read MoreEffect of Risperidone with Ondansetron to Control the Negative and Depressive Symptoms in Schizophrenia
To evaluate the effects of Ondansetron on the negative and depressive symptoms of patients with schizophrenia. A double-blind randomized control trial was conducted in 2016-17 in Lahore. 30 participants were included both in placebo and medicine group. The patients were assessed by using the Positive and Negative Syndrome Scale (PANSS) and Hamilton’s Rating Scale for…
Read MoreTowards Process Standardization for Requirements Analysis of Agent-Based Systems
The development of agent-based systems is negatively impacted by the lack of process standardization across the major development phases, such as the requirements analysis phase. This issue creates a key barrier for agent technology stockholders regarding comprehending and analyzing complexity associated with these systems specifications. Instead, such fundamental low-level infrastructure is loosely attended to in…
Read MoreRevealing Strengths, Weaknesses and Prospects of Intelligent Collaborative e-Learning Systems
The rapid evolution of Collaborative e-Learning Systems migrates to the use of new technologies such the artificial intelligence (AI). In this context, the role of AI in increasing the quality of learning and making it more productive, persistent and efficient. In addition, it can accomplish repetitive and complex tasks in record time and unmatched accuracy.…
Read MoreA Cyber-Vigilance System for Anti-Terrorist Drives Based on an Unmanned Aerial Vehicular Networking Signal Jammer for Specific Territorial Security
During sudden anti-terrorist drives conducted by the law enforcement agencies, a localized cyber security system happens to be a special tactic to avert the unprecedented massacre and gruesome fatalities against the residents of that area by disconnecting the affected territory from the rest of the world; so that the militants and their outside accomplices cannot…
Read MorePerformance improvement of a wind energy system using fuzzy logic based pitch angle control
The pitch angle controller maintains the aerodynamic captured power at rated level when the wind speed is above the rated speed. Besides, it can also improve the transient stability occurring in the wind energy system (WES). This paper, therefore, proposes an effective pitch angle control strategy that can deliver the conditioned output power in windy…
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 MoreDirect Torque Control Strategy Based on the Emulation of Six-Switch Inverter Operation by a Four-Switch Inverter Using an Adaptive Fuzzy Controller
This paper presents a novel direct torque control (DTC) strategy aimed to four-switch three-phase (FSTP) inverter-fed an interior permanent magnet synchronous machine (IPMSM), using a fuzzy logic toolbox in speed control loop. In fact, the introduced DTC approach is based on the emulation of the operation of the standard six-switch three-phase (SSTP) inverter. This fact…
Read MoreEfficient Alignment of Very Long Sequences
We consider the problem of aligning two very long biological sequences. The score for the best alignment may be found using the Smith-Waterman scoring algorithm while the best alignment itself may be determined using Myers and Miller’s alignment algorithm. Neither of these algorithms takes advantage of computer caches to obtain high efficiency. We propose cache-efficient…
Read MoreWhich User of technology? Perspectivising the UTAUT model by application of the SFL language Pronoun System towards a systems perspective of technology acceptance and use
This study applies systemic functional linguistics (SFL) as complementary framework of analysis of technology acceptance models (TAMs). The purpose is to bridge research methodology language in international business (IB) studies and engineering management science. Currently TAMs and its consolidated version, the Unified Theory of Acceptance and Use of Technology (UTAUT) provides for a typology of…
Read MoreDesign and Implementation of Closed-loop PI Control Strategies in Real-time MATLAB Simulation Environment for Nonlinear and Linear ARMAX Models of HVAC Centrifugal Chiller Control Systems
The objective of this paper is to investigate three different approaches of modeling, design and discrete-time implementation of PI closed-loop control strategies in SIMULINK simulation environment, applied to a centrifugal chiller system. Centrifugal chillers are widely used in large building HVAC systems. The system consists of an evaporator, a condenser, a centrifugal compressor and an…
Read MoreFrameworks for Performing on Cloud Automated Software Testing Using Swarm Intelligence Algorithm: Brief Survey
This paper surveys on Cloud Based Automated Testing Software that is able to perform Black-box testing, White-box testing, as well as Unit and Integration Testing as a whole. In this paper, we discuss few of the available automated software testing frameworks on the cloud. These frameworks are found to be more efficient and cost effective…
Read MoreAn Overview of Data Center Metrics and a Novel Approach for a New Family of Metrics
Data centers’ mission critical nature, significant power consumption, and increasing reliance on them for digital information, have created an urgent need to monitor and adequately manage these facilities. Metrics are a key part of this effort as their indicators raise flags that lead to optimization of resource utilization. A thorough review of existing data center…
Read MoreFuel Cell/ Super-capacitor power management system assessment and Lifetime Cost study in a 500kVA UPS
A 500 KVA Uninterruptible power supply (UPS) using Fuel Cells (FC) and super-capacitors (SCs) was studied with the worst case of 10 minutes and eight hours of interruption per day. A power management system was established to control the FC and the SCs in order to extract the hybridization benefits with a comparison between a…
Read MoreThe impact of Big Data on the Android Mobile Platform for Natural Disaster Situations
This application developing for the project OCEMA comes as result of architecture building in Android, then the development of a professional modeling in Talend Open Studio for Big Data, which enabled the integration of data from many data sources. One of its uses is the quick identification of people found in areas affected by natural…
Read MorePerformance Analysis of NLMS Channel Estimation for AMC-COFDM System
In this paper we focus on the adaptive modulation and coding (AMC) techniques, makes use of the channel state information (CSI) to improve the spectral efficiency (SE) in wireless communication systems. To achieve higher data rates and lower bit error rate (BER’s) channel coding can be carried out in OFDM, called COFDM. The NLMS channel…
Read MorePredicting Smoking Status Using Machine Learning Algorithms and Statistical Analysis
Smoking has been proven to negatively affect health in a multitude of ways. As of 2009, smoking has been considered the leading cause of preventable morbidity and mortality in the United States, continuing to plague the country’s overall health. This study aims to investigate the viability and effectiveness of some machine learning algorithms for predicting…
Read MoreLimitations of HVAC Offshore Cables in Large Scale Offshore Wind Farm Applications
The energy marathon is becoming increasingly based on renewable sources, whereas the continuous decrease on the cost of energy production has supported in last decade, for instance, the development of large-scale offshore wind applications. The consistency and availability of the AC-working equipment portfolio is only limited by physical application boundaries, which are quite evident in…
Read MoreEfficient Limited Feedback Technique for FDD MIMO Systems
In this paper an efficient feedback quantization technic for beamforming in MIMO systems is presented. The proposed technic named time domain quantization TD-Q is based on the feedback of time domain parameters necessary for the reproduction of the beamforming matrix at the transmitter. This TD-Q presents the same performance than the conventional Givens rotation quantization…
Read MoreMission-Critical Systems Design Framework
Safety-critical systems are well documented and standardized (e.g. IEC 61508, RTCA DO-178B) within system design cycles. However in Defence and Security, systems that are critical to the success of a Mission are not defined within the literature nor are there any guidelines in defining criticality in their design or operational capabilities. When it comes to…
Read MorePerformance of Location and Positioning Systems: a 3D-Ultrasonic System Case
The necessity of navigation in people and mobile robots (MR) through specific environments (indoors or outdoors) has become more and more relevant nowadays. For indoors, generally speaking, the positioning systems can be divided into 2D (two dimensions) or 3D (three dimensions) approaches, where Ultrasonic Local Positioning Systems (ULPS) are often a common solution for MRs…
Read MoreAgent Based Fault Detection System for Chemical Processes using Negative Selection Algorithm
Recently, the number of industrial accidents of chemical plants has been increasing in Japan. The fault detection system is required to keep chemical plant safely. In this study, a fault detection system for a chemical plant using agent framework and negative selection algorithm was proposed. The negative selection algorithm is one of artificial immune systems.…
Read MoreEnhanced Outdoor to Indoor Propagation Models and Impact of Different Ray Tracing Approaches at Higher Frequencies
The main target of this article is to study the provision of indoor service (coverage) using outdoor base station at higher frequencies i.e. 10 GHz, 30 GHz and 60 GHz. In an outdoor to indoor propagation, an angular wall loss model is used in the General Building Penetration (GBP) model for estimating the additional loss…
Read MoreInterference Avoidance using Spatial Modulation based Location Aware Beamforming in Cognitive Radio IOT Systems
The Internet of Things (IOT) is a revolutionary communication technology which enables numerous heterogeneous objects to be inter-connected. In such a wireless system, interference management between the operating devices is an important challenge. Cognitive Radio (CR) seems to be a promising enabler transmission technology for the 5G-IOT system. The “sense-and-adapt” smart transmission strategy in CR…
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