2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)最新文献_第9页

Sensitivity of The Electrical and UV Imaging Methods for Corona Detection Under HVDC Application 高压直流环境下电晕检测的电成像和紫外成像方法的灵敏度

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704806

H.M.B Sibanyoni, J.J. Walker, J. S. Djeumen

引用次数: 2

An overview of robot vision 机器人视觉概述

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704781

Beatrice van Eden, Benjamin Rosman

引用次数: 1

Optimal Paths for a Mobile Manipulator using the Leapfrog Method 基于跳越法的移动机械臂最优路径

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704789

B. Matebese, D. Withey, M. Banda

引用次数: 1

A Case for Optical Pollution Monitoring of Bushings 套管光学污染监测的一个案例

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704794

F. Fernandes, J. Van Coller, N. Mahatho

{"title":"A Case for Optical Pollution Monitoring of Bushings","authors":"F. Fernandes, J. Van Coller, N. Mahatho","doi":"10.1109/ROBOMECH.2019.8704794","DOIUrl":"https://doi.org/10.1109/ROBOMECH.2019.8704794","url":null,"abstract":"The proposed research aims to optically monitor the dry pollution level on transformer bushings and determine the possible leakage current should the dry polluted surface be critically wetted. The research involves the implementation of an image capturing system with appropriate image processing. Preliminary image capture of four artificial levels of salt deposit pollution: clean, light, medium and heavy is successfully achieved. The percentage level of surface pollution is found using image binary thresholding. For light pollution, the pollution surface coverage is found to be 8%, with each consecutive level increasing by 3%. These serve as part of the input to a neural network that will output the predicted dry pollution level and type in the image. The leakage current must be measured at various known pollution levels under wetted conditions. These values are stored as a reference that the neural network must then use to correlate the predicted dry pollution level to leakage current under wetted conditions. The standard methods used to classify pollution types and severity is presented. The dynamics governing bushing flashover under polluted conditions is discussed. The actual pollution level and type is quantified using Equivalent Salt Deposit Density (ESDD) and Non-Soluble Deposit Density (NSDD). Image segmentation and border extraction are illustrated to output four variables related to surface pollutants: area ratio, coverage, shape factor and eccentricity. The first two parameters are proposed as measures of surface pollution density, while the latter two may assist in pollution type identification. For more accurate pollution type identification, reflectance transformation imaging (RTI) is proposed. With a saliency mapping resolution of approximately 100 μm, the feature recognition between salt deposits and dust and dust deposits is more readily attained.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117053413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and construction of a self-levelling tricopter using gain scheduling and PID controllers 采用增益调度和PID控制器的自调平直升机的设计与构造

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704801

Ian Jannasch, D. Sabatta

引用次数: 2

Class attendance and performance of undergraduate electronic engineering students: exploring the effects of gender 电子工程本科学生的出勤率与表现:探讨性别的影响

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704796

B. Mangara

{"title":"Class attendance and performance of undergraduate electronic engineering students: exploring the effects of gender","authors":"B. Mangara","doi":"10.1109/ROBOMECH.2019.8704796","DOIUrl":"https://doi.org/10.1109/ROBOMECH.2019.8704796","url":null,"abstract":"This study examines the effects of gender on class attendance, the performance in laboratory experiments and the overall course performance of undergraduate engineering students in an Electronic Fundamentals 1 course during semester 1 of 2018 at a public university in South Africa. Data was collected through documentation of: class attendance (for each student at each class lesson); the performance scores in four (4) laboratory experiments and a laboratory experiment test; and the overall course performance score. The overall course performance score constitutes of 50 % from a summative assessment and the other 50 % formed of formative components as follows: 25 % of class test 1, 40 % of class test 2 and 35 % of the overall laboratory experiment performance score. The independent samples t-test results revealed that there is no statistically significant effect of gender on: class attendance (t(174.46) = −0.958, p (= 0.339) > 0.05); overall laboratory experiments performance (t(229) = 0.565, p (= 0.573) > 0.05) and overall course performance (t(229) = −1.805, p (= 0.072) > 0.05).","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129066323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effect of Graphene Oxide Doping on Bulk High Temperature Superconductors For Power Applications 氧化石墨烯掺杂对大功率体高温超导体性能的影响

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704740

M. Gaffoor, A. Jarvis, J. Archer, S. Perumal

引用次数: 1

Effects of insulation barrier board on power transformer PD detection using acoustics 绝缘阻隔板对电力变压器PD声学检测的影响

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704792

E. Sithole, A. Akumu, G. Irungu

引用次数: 0

Human-Robot Interaction: The Safety Challenge (An inegrated frame work for human safety) 人机交互:安全挑战(人类安全的综合框架)

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704744

Gareth Oregan Hoskins, J. Padayachee, G. Bright

{"title":"Human-Robot Interaction: The Safety Challenge (An inegrated frame work for human safety)","authors":"Gareth Oregan Hoskins, J. Padayachee, G. Bright","doi":"10.1109/ROBOMECH.2019.8704744","DOIUrl":"https://doi.org/10.1109/ROBOMECH.2019.8704744","url":null,"abstract":"This research paper aims to investigate the possibilities of safe, cost efficient human-robot interaction. Robotic systems possess the ability to perform tasks at high repetition rates. However, unlike humans, robots are limited in terms of adaption and creativity. Human-robot interaction aims to combine these characteristics to achieve a highly efficient operation with the safety of the human being the main concern. Studies show that most robot accidents involve the operator. Current safety methods employed on robotic systems, such as safety cages and light curtains, reduce potential hazards to humans, but compromise human-robot interaction. The methods are also costly and require a large floor space. This proposed system is aimed at replacing these current safety methods, and employs a new method that involves hazard reduction as well as promoting human-robot interaction. The system can be installed directly onto a robot that is Arduino-driven. By combining various proximity sensors, the safety system can create its own operationally-flexible virtual zone. The main focus of this study is to test the capabilities of a mobile application into robotic safety. The application enforces a hierarchy system that gives each individual person a personal form of identification, as well as granting certain robotic privileges to certain individuals. An experiment will be performed by installing the system on to an Arduino-driven parallel robotic system. Various safety proof tests will be performed to evaluate the performance of the system. By introducing a flexible robotic safety system, manufacturers of the future will be able to perform operations involving collaboration between humans and robots, in a safe, constantly monitored environment.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Evaluating Open-source Toolkits for Automatic Speech Recognition of South African Languages 评估南非语言自动语音识别的开源工具包

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI: 10.1109/ROBOMECH.2019.8704774

Ashentha Naidoo, M. Tsoeu

{"title":"Evaluating Open-source Toolkits for Automatic Speech Recognition of South African Languages","authors":"Ashentha Naidoo, M. Tsoeu","doi":"10.1109/ROBOMECH.2019.8704774","DOIUrl":"https://doi.org/10.1109/ROBOMECH.2019.8704774","url":null,"abstract":"Automatic speech recognition is a critical component of human language technologies. It concerns the translation of speech into textual data which can be processed by computers. Thus, it offers the creation of an intimate link allowing humans to interact with machines on a completely natural level. A variety of open-source toolkits exist for the development of these systems. These toolkits have been successfully implemented and tested for use on well-resourced languages. However, the same level of testing has not been performed for South African languages. This investigation sets out to evaluate popular open-source tools for South African languages and identify optimal toolkit configurations for each language and toolkit. The NCHLT corpora were used to set up automatic speech recognition systems for English and isiXhosa using Kaldi, CMU Sphinx, and HTK. The word error rates achieved during this investigation showed that the best configurations from this investigation achieved better performance than those which were reported by the developers of the NCHLT corpus.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121615718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2