Browsing Electrical, Electronic and Computer Engineering by Title

Browsing Electrical, Electronic and Computer Engineering by Title

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  • Damage detection of offshore platforms using acoustic emission analysis 
    Liu, Guijie; Wang, Shirui; Xie, Yingchun; Tian, Xiaojie; Leng, Dingxin; Malekian, Reza; Li, Zhixiong (American Institute of Physics, 2018-11-20)
    This paper aims to detect the structure damage in KT type jacket offshore platforms using acoustic emission analysis. Experimental investigation has been implemented to analyze the transmission characteristics, attenuation ...
  • Data aggregation using homomorphic encryption in wireless sensor networks 
    Ramotsoela, Tsotsope Daniel (University of Pretoria, 2015)
    Wireless sensor networks have become increasingly popular in many applications such as environment monitoring and law enforcement. Data aggregation is a method used to reduce network traffic but cannot be used together ...
  • Data imputation in wireless sensor networks using a machine learning-based virtual sensor 
    Matusowsky, Michael; Ramotsoela, Daniel; Abu-Mahfouz, Adnan Mohammed (MDPI, 2020-05-27)
    Data integrity in wireless sensor networks (WSN) is very important because incorrect or missing values could result in the system making suboptimal or catastrophic decisions. Data imputation allows for a system to ...
  • Data measures that characterise classification problems 
    Van der Walt, Christiaan Maarten (University of Pretoria, 2008-09-09)
    We have a wide-range of classifiers today that are employed in numerous applications, from credit scoring to speech-processing, with great technical and commercial success. No classifier, however, exists that will outperform ...
  • Data processing automation for bulk water supply monitoring 
    De Coning, Arno; Mouton, Francois (Springer, 2020-11)
    Water as a resource is becoming more scarce with South Africa having several provinces being struck with droughts. Up to 30% of water is lost through leaks in water distribution networks. It is common practice to monitor ...
  • Database application schema forensics 
    Beyers, Hector Quintus; Olivier, Martin S.; Hancke, Gerhard P. (Computer Society of South Africa, 2014-12)
    The application schema layer of a Database Management System (DBMS) can be modi ed to produce results that do not re ect the data actually stored in the database. For example, table structures may be corrupted by changing ...
  • Database forensics : Investigating compromised database management systems 
    Beyers, Hector Quintus (University of Pretoria, 2013)
    The use of databases has become an integral part of modern human life. Often the data contained within databases has substantial value to enterprises and individuals. As databases become a greater part of people’s daily ...
  • Dataset of ocean vessel traffic in the North Sea 
    Meyer, Rory George Vincent; Kleynhans, Waldo; Portier, Marc; Beja, Joana; Tyberghein, Lennert (Elsevier, 2023-12)
    Automatic Identification System (AIS) is a technology that allows ships to broadcast their position, course, speed, and other information to other vessels or shore-based stations. By collecting and analysing this data, it ...
  • Dataset shift in land-use classification for optical remote sensing 
    Luus, Francois Pierre Sarel (University of Pretoria, 2016)
    Multimodal dataset shifts consisting of both concept and covariate shifts are addressed in this study to improve texture-based land-use classification accuracy for optical panchromatic and multispectral remote sensing. ...
  • A decade of porous silicon as nano-explosive material 
    Du Plessis, Monuko (Wiley, 2014-06)
    It is a decade since the accidental discovery of the room temperature explosive properties of porous silicon, impregnated with a solid state oxidizer, was communicated in 2002 [1]. A significant amount of research and ...
  • Decentralized finite-time adaptive consensus of multiagent systems with fixed and switching network topologies 
    Tu, Zhizhong; Yu, Hui; Xia, Xiaohua (Elsevier, 2017-01)
    In this paper, finite-time adaptive consensus problem is investigated for first-order multiagent systems with unknown nonlinear dynamics. Linearly parameterized method is introduced to model unknown nonlinear dynamics of ...
  • Decentralized reinforce-control of renewable dynamic virtual power plant enabling it to offer ancillary services : an attempt towards net-zero targets 
    Kumar, Lalit; Ahmed, Shehab; Naidoo, Raj; Bansal, Ramesh C. (Wiley, 2023-07)
    This article presents internal model control (IMC) based decentralized reinforce-control of renewable dynamic virtual power plant (DVPP) so that, it can be integrated into the power system as a substitution of fuel-based ...
  • Decentralized resource allocation-based multiagent deep learning in vehicular network 
    Mafuta, Armeline D.; Maharaj, Bodhaswar Tikanath Jugpershad; Alfa, Attahiru Sule (Institute of Electrical and Electronics Engineers, 2023-03)
    Resource allocation (RA) has a significant impact on vehicular network performance. With high mobility, RA is more challenging, as the number of vehicles in close proximity changes dynamically in the nonstationary environment. ...
  • A decision maxim for efficient task realization within analytical network infrastructures 
    Grum, M.; Bender, B.; Alfa, Attahiru Sule; Gronau, N. (Elsevier, 2018-08)
    Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, ...
  • A decisive evaluation of parks transformation based commonly used voltage detection method 
    Pachar, Ramesh Kumar; Tiwari, Harpal; Bansal, Ramesh C. (Swami Keshvanand Institute of Technology Management & Gramothon, 2014)
    The abc-to-dq0 based voltage detection technique is commonly employed in static transfer switch (STS) applications, which are targeted to protect sensitive loads against variety of disturbances. The technique is quite ...
  • Deep convolutional neural network for mill feed size characterization 
    Olivier, Laurentz Eugene; Maritz, M.G. (Michael); Craig, Ian Keith (International Federation of Automatic Control, 2019)
    Knowing the characteristics of the feed ore size is an important consideration for operations and control of a run-of-mine ore milling circuit. Large feed ore variations are important to detect as they require intervention, ...
  • Deep learning for resource management in Internet of Things networks : a bibliometric analysis and comprehensive review 
    Olatinwo, Segun Olatunbosun; Joubert, Trudi-Heleen (Institute of Electrical and Electronics Engineers, 2022-08)
    In this study, we conducted a bibliometric analysis and comprehensive review of the studies published between the period of 2012 and 2022 on resource management in internet of things (IoT) networks using the Scopus database ...
  • Deep temporal architectures for activity recognition 
    Luvhengo, Todani (University of Pretoria, 2017)
    The amount of video content generated increases daily, three hundred hours of video content is uploaded to YouTube every 60 seconds1. There exists a need to sort, summarise, describe, categorise and retrieve video data ...
  • Definition of a quality factor for single site location estimates 
    Coetzee, Petrus J.; Du Plessis, W.P. (Warren Paul) (Radio Science American Geophysical Union (AGU), 2016-06)
    A technique to estimate the performance of Single Site Location (SSL) based on High Frequency (HF) direction finding (DF) for reigning ionospheric propagation conditions is described. This technique is based on classic ...
  • A delay-aware spectrum handoff scheme for prioritized time-critical industrial applications with channel selection strategy 
    Oyewobi, Stephen S.; Hancke, Gerhard P.; Abu-Mahfouz, Adnan Mohammed; Onumanyi, A.J. (Adeiza) (Elsevier, 2019-08)
    Cognitive radio has emerged as an enabling technology in the realization of a spectrum-efficient and delay-sensitive industrial wireless communication where nodes are capable of responding in real-time. However, particularly ...