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Keyword: CurrentXMDD as Key Enabling Technology for Integration and Organizational Collaboration: Application to E-Learning Based on NRENs
Collaborative E-learning is highly dependent on the well functioning of a complex socio-technical system that comprises information technology and various social processes. Large-scale infrastructures like the National Research and Education Networks (NRENs) provide access to research and educational resources and provide collaboration between educational and research organizations, thus providing a set of essential services for…
Read MoreA Survey of Big Data Techniques for Extracting Information from Social Media Data
Data mined from social media can be used in a variety of methods. The goal of this paper is to explore some of the various methods of mining data from social media and the different areas of its applications. From the analysis of other studies, it was clear that methods such as text analysis, classification,…
Read MoreA Novel Approach for Estimating the Service Lifetime of Transformers within Distributed Solar Photovoltaic (DSPV) Systems
The rapid transformation of the energy sector in South Africa towards renewable energy (RE) production calls for the management of assets to keep pace with the ongoing developments in a reliable manner. Aging assets, increasing energy needs and reliable supply of energy without load shedding are some of the challenges utilities are facing in South…
Read MoreIntegration Information Systems Design of Material Planning in the Manufacturing Industry using Service Oriented Architecture
PT XYZ has an Enterprise Resource Planning application that is used by the Planning Department to view stocks and plan production materials. Currently calculation of production materials takes more than 30 seconds just to export to Excel then a few minutes to adjust the data format to the planning form and the data used is…
Read MoreEnhanced Data Transportation in Remote Locations Using UAV Aided Edge Computing
In recent years, the applications in the field of Unmanned Aerial Vehicle (UAV) systems has procured research interests among various communities. One of the primary factors being, thinking beyond the box of what could UAV system bring to the table other than military applications? Evidence to any answer for this question is the current day…
Read MoreObserver-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors
This paper presents a new observer-based method which deals with the extraction of amplitude of characteristic frequencies for the fault diagnosis in permanent magnet synchronous motors (PMSM). First, a pilot survey is made to investigate the typical harmonics in the line currents of PMSM. Second, an appropriate structure of observer is formulated with the input…
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 MoreAssessment of Electricity Industries in SADC Region Energy Diversification and Sustainability
Before the COVID-19 crisis, the Southern African Developing Countries (SADC) had a varied energy mix including renewable energy, fossil fuels, and military energy production. The use of fossil fuels in the energy mix is known to be the source of the growing levels of greenhouse gases in the atmosphere. However, there was a reduction in…
Read MoreDetection and Counting of Fruit Trees from RGB UAV Images by Convolutional Neural Networks Approach
The use of Unmanned Aerial Vehicle (UAV) can contribute to find solutions and add value to several agricultural problems, favoring thus productivity, better quality control processes and flexible farm management. In addition, the strategies that allow the acquisition and analysis of data from agricultural environments can help optimize current practices such as crop counting. The…
Read MoreBLDC Motor Vibration Identification by Finite Element Method and Measurements
Within the results of scientific research, vibrations and their reduction have been described for the brushless direct current motor with permanent magnets (BLDC motor). In this paper, calculations (the finite element method using commercial Finite Element Software Ansys) and measurements were performed to identifying the sources of vibrations in BLDC motor. The article presents numerical…
Read MoreFrequency Scaling for High Performance of Low-End Pipelined Processors
In the Internet of Things era it is expected that low-end processor domination of the embedded market will be further reaffirmed. Then, a question will arise, on whether it is possible to enhance performance of such processors without the cost of high-end architectures. In this work we propose a better-than-worst-case (BTWC) methodology which enables the…
Read MoreIndonesian Music Emotion Recognition Based on Audio with Deep Learning Approach
Music Emotion Recognition (MER) is a study to recognize emotion in a music or song. MER is still challenging in the music world since recognizing emotion in music is affected by several features; audio is one of them. This paper uses a deep learning approach for MER, specifically Convolutional Neural Network (CNN) and Convolutional Recurrent…
Read MorePrototype Design Internet of Things Based Waste Management Using Image Processing
Waste is currently a serious problem often found in rural areas, rural areas, and even industrial areas. Waste is a side effect of activities carried out by humans to meet social or industrial needs. Increasing human productivity will also increase the amount of waste produced. To overcome this, a sorting management system is needed. Good…
Read MoreComplex Order PI\(^{a+jb}\)D\(^{c+jd}\) Controller Design for a Fractional Order DC Motor System
Industry 4.0 implementation stipulates effective actuator control. In the present work, a complex order PIa+jb Dc+jd (COPID) controller was designed for a fractional order model of a direct current (DC) motor system. For comparisons, the DC motor system model was also controlled using the conventional proportional integral (PI), proportional integral derivative (PID), proportional resonant (PR) and fractional…
Read MorePractical Simulation of Grounded/Floating Lossy Inductors Based on Commercially Available Integrated Circuit LT1228
The article suggests four circuit topologies for the practical simulation of grounded and floating lossy inductors. All the suggested circuits use commercially available integrated circuit LT1228 chips as active elements, and only two passive elements, namely one resistor and one capacitor. The first two of the proposed circuits employ only a single LT1228 active element…
Read MoreApplication of Polynomial Regression Analysis in Evaluating the Techno-Economic Performance of DSPV Transformers
To this extent, the delineation of techno-economic evaluations for transformers becomes more intricate through a lens of Distributed Solar Photovoltaic (DSPV) market in South Africa. Essentially, the transformer price and loss evaluation techniques should be tailored for calculating the Total Ownership Cost (TOC) of transformers facilitating decentralized energy systems. In South Africa, the traditional coal…
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…
Read MoreInvestigation of the Impact of Distributed Generation on Power System Protection
Integration of Distributed Generation (DG) on distribution networks has a positive impact which includes the following: low power losses, improved utility system reliability and voltage improvement at buses. A real distribution network is radial in which energy flow is unidirectional from generation to transmission and from distribution to the load. However, when a DG is…
Read MoreForecasting Gold Price in Rupiah using Multivariate Analysis with LSTM and GRU Neural Networks
Forecasting the gold price movement’s volatility has essential applications in areas such as risk management, options pricing, and asset allocation. The multivariate model is expected to generate more accurate forecasts than univariate models in time series data like gold prices. Multivariate analysis is based on observation and analysis of more than one statistical variable at…
Read MoreA Hybrid NMF-AttLSTM Method for Short-term Traffic Flow Prediction
In view of the current short-term traffic flow prediction methods that fail to fully consider the spatial correlation of traffic flow, and fail to make full use of historical data features, resulting in low prediction accuracy and poor robustness. Therefore, in paper, combining Non-negative Matrix Factorization (NMF) and LSTM model Based on Attention Mechanism (AttLSTM),…
Read MoreAnalyzing the Adoption of E-payment Services in Smart Cities using Demographic Analytics: The Case of Dubai
This paper is an extension of previous research that has been done on factors affecting digital payment adoption in the UAE. This study focuses on analyzing which relevant demographic factors affect new e-payment technologies, mainly in the smart city Dubai, with more complexities and dynamics of variables that affect users’ behavior toward adopting new technologies.…
Read MoreChallenges in IoT Technology Adoption into Information System Security Management of Smart Cities: A Review
Sustainable urban development and utilization of Internet of Things (IoT) technology is driving cities globally to evolve into Smart Cities (SC). The power of IoT services and applications will enable public agencies to provide personalized services to the citizens and inevitably improves their much-needed quality of life. However, although the use of IoT technology proves…
Read MoreFuzzy Analytical Hierarchy Process and Fuzzy Comprehensive Evaluation Method Applied to Assess and Improve Human and Organizational Factors Maturity in Mining Industry
The literature shows a growing interest in taking into account human and organizational factors (HOFs) to achieve safe and successful human performance by reducing the risk of errors. In this sense, the concept of maturity models aims to help companies in the integration of these factors by assessing the current level of maturity and define…
Read MoreEvaluation the Effects of Climate Change on the Flow of the Arkansas River – United States
The behavior of rivers’ hydrology and flow under changing climate has been an objective of interest for long time. In this study the impacts of climate change on streamflow of the Arkansas River will be investigated. The paper is an extension of work originally presented in ASET conference in Dubai. The Arkansas River is a…
Read MoreEvent Modeller Data Analytic for Harmonic Failures
The optimum performance of power plants has major technical and economic benefits. A case study in one of the Malaysian power plants reveals an escalating harmonic failure trend in their Continuous Ship Unloader (CSU) machines. This has led to a harmonic filter failure causing performance loss leading to costly interventions and safety concerns. Analysis of…
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