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Bernhard Piepenbreier - IEEE Xplore Author Profile

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Author details

Bernhard Piepenbreier

Also published under: B. Piepenbreier

Publications

71

Citations

1,025

Publications by Year

20042020

Co-Authors:

Ali Al Ali HageAli Al Hage AliKamal Al-HaddadAli Ali Al HageStefan Arenz

Show All Co-Authors (48)

Bernhard Piepenbreier

Also published under: B. Piepenbreier

Affiliation

Faculty of Engineering

Department for Electrical

Electronics and Communication Engineering, Electrical Drives and Machines, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany

Publication Topics

Sensorless Control,
Synchronous Motor,
Synchronous Reluctance Machine,
Fundamental Current,
Current Control,
Current Response,
Feedforward Control,
Flux Linkage,
Permanent Magnet,
Control Structure,
Ferritic,
Inverter

Biography

Bernhard Piepenbreier was born in Germany in 1956. He received the DiplIng. degree in electrical engineering from University of Hannover, Germany, in 1982 and the DrIng. degree from University of the Federal Armed Forces Hamburg, Germany in 1986. From 1987 to 2000 he was with Siemens AG, Erlangen in the field of industrial development of electrical drives. Since 2000 he has been a professor for electrical drives at the University of Erlangen-Nuremberg, Germany.(Based on document published on 10 November 2012).

Publications

71

Citations

1,025

Publications by Year

20042020

Co-Authors:

Ali Al Ali Hage
Ali Al Hage Ali
Kamal Al-Haddad
Ali Ali Al Hage
Stefan Arenz

Show All Co-Authors (48)

Author's Published Works

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Showing 1-17 of 17 results

Conferences (17)

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Tshilidzi Marwala(9)
David M. Rubin(7)
Meir Perez(4)
David Rubin(4)
Wendy Stevens(3)
School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa(6)
Department of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa(3)
Biomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa(2)
The National Health Laboratory Service, Johannesburg, South Africa(1)
University of the Witwatersrand, Johannesburg, South Africa(1)
2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)(2)
IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.(2)
2006 IEEE International Conference on Systems, Man and Cybernetics(1)
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(1)
2007 IEEE Nuclear Science Symposium Conference Record(1)
IEEE(17)
Eilat, Israel(2)
Mauritius(2)
Singapore(2)
Stellenbosch, South Africa(2)
Accra, Ghana(1)
Neural Network(4)
Multilayer Perceptron(3)
Multilayer Perceptron Neural Network(3)
Training Data(3)
Acids In Sequence(2)

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Results

Novel Estimators for the Number of Susceptible Individuals in SIR Models of Infectious Epidemics

Michaël Antonie Van Wyk;André Martin McDonald;David M. Rubin;Fangfang Zhang

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Year: 2024 | Conference Paper |

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Accurate estimation of model parameters early in infectious epidemics may improve planning and resource allocation in mitigating the adverse consequences on affected populations. By applying the Peano-Baker series formula and the Cauchy repeated integral formula, we present the development of three novel estimators which facilitate the estimation of the number of susceptible people as a function o...Show More

Novel Estimators for the Number of Susceptible Individuals in SIR Models of Infectious Epidemics

Michaël Antonie Van Wyk;André Martin McDonald;David M. Rubin;Fangfang Zhang

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Year: 2024 | Conference Paper |

Shape tracing app for movement disorder detection

Vered Aharonson;Sarah Ward;David Anderson;David M. Rubin;Michiel Postema

2020 International SAUPEC/RobMech/PRASA Conference

Year: 2020 | Conference Paper |

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Shape tracing tests for the detection and assessment of hand movement disorders are predominantly performed manually in the presence of a clinician. These procedures are therefore labour intensive, expensive, and subjective. Digital tests have been proposed to automate this assessment process, to answer the need of affordable healthcare for all. A straightforward automation solution is a conversio...Show More

Shape tracing app for movement disorder detection

Vered Aharonson;Sarah Ward;David Anderson;David M. Rubin;Michiel Postema

2020 International SAUPEC/RobMech/PRASA Conference

Year: 2020 | Conference Paper |

Toward the Design of a Low Cost, Adaptive Hearing Aid

Kayla-Jade Butkow;Kelvin da Silva;David M. Rubin

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

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This paper presents a feasibility study into the design of a low-cost adaptive hearing aid. This study is presented in the form of a software simulation and a hardware proof of concept. The designed hearing aid is able to apply compensatory amplification based on an audiogram, and has a user steerable direction of focus. The features in the software and hardware solutions were tested and the resul...Show More

Toward the Design of a Low Cost, Adaptive Hearing Aid

Kayla-Jade Butkow;Kelvin da Silva;David M. Rubin

2019 IEEE AFRICON

Year: 2019 | Conference Paper |

Voice quality enhancement for vocal tract rehabilitation

Bianca Sutcliffe;Lindzi Wiggins;David Rubin;Vered Aharonson

2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)

Year: 2018 | Conference Paper |

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Vocal rehabilitation devices used by patients after Laryngectomy produce an unnatural sounding speech. Our study aims at increasing the quality of these synthetically generated voices by implementing human-like characteristics. A simplified source filter model, linear predictive coding coefficients and line spectral frequencies were used to model the vocal tract and manipulate the acoustic feature...Show More

Voice quality enhancement for vocal tract rehabilitation

Bianca Sutcliffe;Lindzi Wiggins;David Rubin;Vered Aharonson

2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)

Year: 2018 | Conference Paper |

Modelling dynamic response of physical systems in Simulink

Kirsten T Smith;David Rubin;Martin J Turner

2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

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The value of implementing mathematical models in Simulink is demonstrated through an overview of the challenges involved when determining the dynamic response of non-linear systems. This overview is demonstrated by using an example of the baroreceptor nerve (and its response to blood pressure changes) as a non-linear system which can be modelled and simulated in Simulink. The simulated results ind...Show More

Modelling dynamic response of physical systems in Simulink

Kirsten T Smith;David Rubin;Martin J Turner

2018 3rd Biennial South African Biomedical Engineering Conference (SAIBMEC)

Year: 2018 | Conference Paper |

Use of dielectric properties of human tissues in the analysis of lightning injuries

Y-C. H. Lee;D. M. Rubin;I. R. Jandrell

2014 International Conference on Lightning Protection (ICLP)

Year: 2014 | Conference Paper |

Cited by: Papers (1)

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This paper focuses on the use of dielectric properties of human tissues in analysing injuries as a result of the lighting short stroke current. The lightning short stroke current is decomposed into its frequency components and the effects of these frequency components on human tissues are analysed. The dielectric properties of nineteen types of human body tissues are examined and the correlations ...Show More

Use of dielectric properties of human tissues in the analysis of lightning injuries

Y-C. H. Lee;D. M. Rubin;I. R. Jandrell

2014 International Conference on Lightning Protection (ICLP)

Year: 2014 | Conference Paper |

A Population-Based Incremental Learning approach to microarray gene expression feature selection

Meir Perez;David M Rubin;Tshilidzi Marwala;Lesley E Scott;Wendy Stevens

2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel

Year: 2010 | Conference Paper |

Cited by: Papers (6)

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The identification of a differentially expressed set of genes in microarray data analysis is essential, both for novel onco-genic pathway identification, as well as for automated diagnostic purposes. This paper assesses the effectiveness of the Population-Based Incremental Learning (PBIL) algorithm in identifying a class differentiating gene set for sample classification. PBIL is based on iterativ...Show More

A Population-Based Incremental Learning approach to microarray gene expression feature selection

Meir Perez;David M Rubin;Tshilidzi Marwala;Lesley E Scott;Wendy Stevens

2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel

Year: 2010 | Conference Paper |

Differentially Expressed Gene Identification Based on Separability Index

Meir Perez;Jonathan Featherston;David M. Rubin;Tshilidzi Marwala;Lesley E. Scott;Wendy Stevens

2009 International Conference on Machine Learning and Applications

Year: 2009 | Conference Paper |

Cited by: Papers (2)

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The identification of differentially expressed genes is central to microarray data analysis. Presented in this paper is an approach to differentially expressed gene identification based on a Separability Index (SI). Features are selected by identifying the optimal number of top ranking genes which result in maximum class separability. The approach was implemented on a training dataset comprising 4...Show More

Differentially Expressed Gene Identification Based on Separability Index

Meir Perez;Jonathan Featherston;David M. Rubin;Tshilidzi Marwala;Lesley E. Scott;Wendy Stevens

2009 International Conference on Machine Learning and Applications

Year: 2009 | Conference Paper |

A voting and predictive Neural Network system for use in a new artificial Larynx

M. J. Russell;D. M. Rubin;T. Marwala;B. Wigdorowitz

2009 International Conference on Biomedical and Pharmaceutical Engineering

Year: 2009 | Conference Paper |

Cited by: Papers (3) | Patents (1)

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A new artificial Larynx is currently under development at the University of the Witwatersrand, Johannesburg. This device uses dynamic tongue movement from a palatometer system to infer what the user is trying to say. Feature selection algorithms extract information from the palatometer data and are then used as input to a Multi-Layer Perceptron Neural Network. This paper deals with improving the s...Show More

A voting and predictive Neural Network system for use in a new artificial Larynx

M. J. Russell;D. M. Rubin;T. Marwala;B. Wigdorowitz

2009 International Conference on Biomedical and Pharmaceutical Engineering

Year: 2009 | Conference Paper |

Simulation of retinal function A fuzzy-linear approach

Meir Perez;Robert O. Davidson;David M. Rubin;Tshilidzi Marwala

2008 IEEE International Conference on Systems, Man and Cybernetics

Year: 2008 | Conference Paper |

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The design, simulation and evaluation of a retinal model is presented. The model comprises a fuzzy inference system, modelling macro retinal function, hybridized with a simplified version of an existing linear spacio-temporal filter, modelling micro retinal function. Macro retinal function is simulated using a test image and qualitatively validated against physiological theory. The model could be ...Show More

Simulation of retinal function A fuzzy-linear approach

Meir Perez;Robert O. Davidson;David M. Rubin;Tshilidzi Marwala

2008 IEEE International Conference on Systems, Man and Cybernetics

Year: 2008 | Conference Paper |

A Hybrid Fuzzy-SVM classifier, applied to gene expression profiling for automated leukaemia diagnosis

Meir Perez;David M Rubin;Lesley E Scott;Tshilidzi Marwala;Wendy Stevens

2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel

Year: 2008 | Conference Paper |

Cited by: Papers (7)

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A hybrid fuzzy-SVM classifier, used to automate leukaemia diagnosis based on microarray gene expression data, is presented. A publicly available dataset was used to develop and test the classifier. A fuzzy gene filter was developed to select the genes which show significant class variation between various leukaemia types. The results obtained from using all the genes for classification is compared...Show More

A Hybrid Fuzzy-SVM classifier, applied to gene expression profiling for automated leukaemia diagnosis

Meir Perez;David M Rubin;Lesley E Scott;Tshilidzi Marwala;Wendy Stevens

2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel

Year: 2008 | Conference Paper |

High-transparency coded apertures in planar nuclear medicine imaging: Experimental results

David M. Starfield;David M. Rubin;Tshilidzi Marwala;Rex J. Keddy

2007 IEEE Nuclear Science Symposium Conference Record

Year: 2007 | Conference Paper |

Cited by: Papers (2) | Patents (3)

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Coded apertures provide an alternative to collimators in gamma-ray imaging. Advances in the field of coded apertures have lessened the artifacts that are associated with the near-field geometry of nuclear medicine. Nevertheless, image resolution and the manufacturing techniques that are available are constrained by the thickness of the aperture material. Thickness artifacts result. Thin apertures ...Show More

High-transparency coded apertures in planar nuclear medicine imaging: Experimental results

David M. Starfield;David M. Rubin;Tshilidzi Marwala;Rex J. Keddy

2007 IEEE Nuclear Science Symposium Conference Record

Year: 2007 | Volume: 4 | Conference Paper |

Incremental Learning for Classification of Protein Sequences

Shakir Mohamed;David Rubin;Tshilidzi Marwala

2007 International Joint Conference on Neural Networks

Year: 2007 | Conference Paper |

Cited by: Papers (6)

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The problem of protein structural family classification remains a core problem in computational biology, with application of this technology applicable to problems in drug discovery programs and hypothetical protein annotation. Many machine learning tools have been applied to this problem using static machine learning structures such as neural networks or support vector machines that are unable to...Show More

Incremental Learning for Classification of Protein Sequences

Shakir Mohamed;David Rubin;Tshilidzi Marwala

2007 International Joint Conference on Neural Networks

Year: 2007 | Conference Paper |

High Transparency Coded Apertures in Planar Nuclear Medicine Imaging

David M. Starfield;David M. Rubin;Tshilidzi Marwala

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2007 | Conference Paper |

Cited by: Papers (5)

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Coded apertures provide an alternative to the collimators of nuclear medicine imaging, and advances in the field have lessened the artifacts that are associated with the near-field geometry. Thickness of the aperture material, however, results in a decoded image with thickness artifacts, and constrains both image resolution and the available manufacturing techniques. Thus in theory, thin apertures...Show More

High Transparency Coded Apertures in Planar Nuclear Medicine Imaging

David M. Starfield;David M. Rubin;Tshilidzi Marwala

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2007 | Conference Paper |

Multi-class Protein Sequence Classification Using Fuzzy ARTMAP

Shakir Mohamed;David Rubin;Tshilidzi Marwala

2006 IEEE International Conference on Systems, Man and Cybernetics

Year: 2006 | Conference Paper |

Cited by: Papers (17)

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The classification of protein sequences into families is an important tool in the annotation of structural and functional properties to newly discovered proteins. We present a classification system using pattern recognition techniques to create a numerical vector representation of a protein sequence and then classify the sequence into a number of given families. We introduce the use of fuzzy ARTMA...Show More

Multi-class Protein Sequence Classification Using Fuzzy ARTMAP

Shakir Mohamed;David Rubin;Tshilidzi Marwala

2006 IEEE International Conference on Systems, Man and Cybernetics

Year: 2006 | Volume: 2 | Conference Paper |

Detection of epileptiform activity in human EEG signals using Bayesian neural networks

Nadim Mohamed;D.M. Rubin;Tshilidzi Marwala

IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.

Year: 2005 | Conference Paper |

Cited by: Papers (6)

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In this paper, we investigate the application of neural networks to the problem of detecting inter-ictal epileptiform activity in the electroencephalogram (EEG). The proposed detector consists of a segmentation, feature extraction and classification stage. For the feature extraction stage, coefficients of the discrete wavelet transform (DWT), real and imaginary parts of the fast Fourier transform ...Show More

Detection of epileptiform activity in human EEG signals using Bayesian neural networks

Nadim Mohamed;D.M. Rubin;Tshilidzi Marwala

IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.

Year: 2005 | Conference Paper |

Optimising the verification of patient positioning in proton beam therapy

T.M. Ransome;D.M. Rubin;T. Marwala;E.A. de Kock

IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.

Year: 2005 | Conference Paper |

Cited by: Papers (5)

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A new patient positioning system incorporating a robotic arm is currently being designed for proton beam therapy. This requires aligning a treatment image with a pre-defined reference image. This is achieved by the alignment of the radiation and reference field boundaries, followed by registering the patient's anatomy relative to the boundary. This paper compares and tests methods for both field b...Show More

Optimising the verification of patient positioning in proton beam therapy

T.M. Ransome;D.M. Rubin;T. Marwala;E.A. de Kock

IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005.

Year: 2005 | Conference Paper |

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