Olfa Kanoun

Olfa Kanoun
Technische Universität Chemnitz · Department of Electrical Engineering and Information Technology

Prof. Dr.-Ing.

About

738
Publications
199,842
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
4,202
Citations
Introduction
Olfa Kanoun studied electrical engineering and information technology at the TU Munich. During her PhD at the University of the Bundeswehr in Munich she developed a novel calibration free temperature measurement method and was awarded in 2001 by the AHMT e. V. Since 2007 she is professor for measurement and sensor technology at TU Chemnitz. Her research is focused on measurement methods, sensors and sensor systems. She is distinguished lecturer of the IEEE Instrumentation and Measurement Society
Additional affiliations
May 2016 - May 2018
IEEE
Position
  • Lecturer
March 2013 - December 2017
Ecole Nationale d'Ingénieurs de Sfax
Position
  • Professor
June 2008 - July 2008
Universitat Politècnica de Catalunya
Position
  • Guest Professor

Publications

Publications (738)
Article
Full-text available
Several studies show that impedance spectroscopy is a suitable method for online battery diagnosis and State-of-Health (SoH) estimation. However, the most common method is to model the acquired impedance spectrum with equivalent circuits and focus on the most sensitive parameters, namely the charge-transfer resistance. This paper introduces first a...
Article
Full-text available
Advanced sensors are becoming essential for modern factories, as they contribute by gathering comprehensive data about machines, processes, and human-machine interaction. They play an important role in improving manufacturing performance, in-factory logistics, predictive maintenance, supply chains, and digitalization in general. Wireless sensors an...
Article
Full-text available
Electrochemical sensors play a significant role in detecting chemical ions, molecules, and pathogens in water and other applications. These sensors are sensitive, portable, fast, inexpensive, and suitable for online and in-situ measurements compared to other methods. They can provide the detection for any compound that can undergo certain transform...
Article
Full-text available
Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning...
Article
Full-text available
In the last decade, significant developments of flexible and stretchable force sensors have been witnessed in order to satisfy the demand of several applications in robotic, prosthetics, wearables and structural health monitoring bringing decisive advantages due to their manifold customizability, easy integration and outstanding performance in term...
Article
Bioimpedance spectroscopy (BIS) is an advanced measurement method for providing information on impedance changes at several frequencies by injecting a low current into a device under test and analyzing the response voltage. Several methods have been elaborated for BIS measurement, calculating impedance with a gain phase detector (GPD), IQ demodulat...
Article
An iron oxide/reduced graphene oxide (ION-RGO) nanocomposite has been fabricated to functionalize a low-cost electrochemical nitrite sensor realized by light-scribed reduced graphene oxide (LRGO) electrodes on a PET substrate. To enhance the stability and adhesion of the electrode, the PET substrate was modified by RF oxygen plasma, and a thin laye...
Article
Full-text available
Measuring weather data in an urban environment is an important task on the journey towards smart cities. Heavy rain can cause flooding in cities and prevent emergency services from reaching their destination because roads or underpasses are blocked. In order to provide a high-resolution site-specific overview in urban areas during heavy rainfall, a...
Article
Background and Objectives: With the progress of digitalization, electrocardiograms (ECGs) are increasingly measured by embedded and portable devices, which may lead to significant degradation of signal quality due to noise and artifacts. This leads to the necessity of signal quality assessment before ECG interpretation. Especially, if the ECG train...
Article
In Inductive Power Transfer (IPT) the misalignment between sending and receiving coils is critical and significantly influences both transfer efficiency and charging time. It can be compensated by the use of multiple coils on the sender side. However, by increasing the number of sending coils, the supply circuit becomes big, complex and not easy to...
Conference Paper
Full-text available
Electroencephalography (EEG) signal recording cannot be secluded from noise, affecting the measured signal for such critical application as epilepsy diagnosis. Often, EEG signal corrupt with unintended artefacts, including physiological (Electromyography (EMG), Electrocardiography (ECG), and Electrooculography (EOG)) and non-physiological ones (ele...
Conference Paper
Full-text available
Medical applications in general and hand gestures classification-based rehabilitation applications specifically are highly dependent on the choice of essential parameters such as the set of gestures and the number and type of used sensors among others. Aiming for medically satisfying results, the choice of the artificial intelligence algorithm to i...
Conference Paper
Full-text available
Hand Gesture Recognition (HGR) is one of the vital topics of research in health and human-machine interaction in recent years. HGR is required for sensitive applications. Unlike static recognition, real-time gesture recognition needs the successive analysis of gestures. The design of effective gesture recognition and prediction systems using machin...
Conference Paper
Full-text available
Agile production lines call for an effective and intuitive way of programming robots. However, traditional approaches rely on providing low-level instructions using either a script-based language or a graphical user interface to export low-level instructions. This, however, can be tedious for assembly tasks. In this work, we present an approach tha...
Conference Paper
Full-text available
Human-machine interaction, precision robotic control , and guide advice for the rehabilitation process are scorching topics. For these topics, detecting and accurately recognizing muscle signals for specific gestures is a proven process, and component. In this direction, this paper designs a hybrid measurement system based on EMG and FMG with an 8-...
Article
Full-text available
Energy harvesting from flowing water is important for supplying hydrometric monitoring systems. Nevertheless, it is challenging due to the chaotic water flow in only one main direction and the relatively weak energy profile. In this paper, a novel energy harvester has been proposed, designed, and validated. The converter consists of a pendulum, a g...
Article
Full-text available
Wearable sensors are gaining attention in human health monitoring applications, even if their usability is limited due to battery need. Flexible nanogenerators (NGs) converting biomechanical energy into electrical energy offer an interesting solution, as they can supply the sensors or extend the battery lifetime. Herein, flexible generators based o...
Article
Cables are the primary transmission media for electric power and communication in modern systems. Faults in cable networks affect the system's reliability and have serious consequences, leading to significant interruptions, failures, and accidents. In this paper, we propose a new method for detecting and locating multiple faults in bus-shaped cable...
Article
Owing to its remarkable properties, multiwalled carbon nanotubes (MWCNTs) are attracting the interest for realization of sensors. The potential of MWCNTs for high temperature sensing applications was investigated by integration within reinforced aluminium oxide ceramic composite. MWCNTs up to 2 wt% were mixed with reinforced aluminum oxide ceramic...
Cover Page
Full-text available
Research article on carbonaceous Materials, their production , properties and engineering
Article
One of the lessons we learned from the COVID-19 pandemic is that the need for ultrasensitive detection systems is now more critical than ever. While sensors' sensitivity, portability, selectivity, and low cost are crucial, new ways to couple synergistic methods enable the highest performance levels. This review article critically discusses the syne...
Article
Impedance spectroscopy is a powerful measurement method having decisive advantages in several application fields. It allows the measurements of non-accessible quantities, supports high measurement accuracy, and enables simultaneous measurements of more than one quantity. The method provides deep insights into systems and materials, is non-invasive,...
Article
Structural health monitoring (SHM) is necessary for modern technical development. It can be achieved by detecting different quantities such as pressure and strain using highly sensitive and stable sensors. In this work, epoxy/multiwalled carbon nanotubes (MWCNTs) is used as sensing material to detect both strain and pressure. To ensure better perfo...
Article
Full-text available
With the introduction of Internet of Things (IoT) technology in several sectors, wireless, reliable, and energy-saving communication in distributed sensor networks are more important than ever. Thereby, wake-up technologies are becoming increasingly important as they significantly contribute to reducing the energy consumption of wireless sensor nod...
Article
In this paper, an experimental and theoretical study for designing a nonlinear electromagnetic converter-based magnetic spring is performed. The governing equation of the converter is investigated. A special focus is given to the magnetic force acting on the moving magnet in dependence of its volume and the geometry of the two fixed magnets, i.e.,...
Article
Full-text available
Predictive maintenance is becoming increasingly important in industry and requires continuous monitoring to prevent failures and anticipate maintenance processes, resulting in reduced downtime. Vibration is often used for failure detection and equipment conditioning as it is well correlated to the machine’s operation and its variation is an indicat...
Article
The rising use of capacitive sensors imposes the need of numerous measuring circuits with different characteristics. Stray fields and conductance losses are thereby key influencing factors that must be taken into account. In this paper, we provide an actual overview of capacitance measurement circuits considering well-known and modern measurement m...
Article
Full-text available
Flexible electronics is a new paradigm with strong implications from healthcare to energy applications. In this context, electrically conductive polymers are the critical components. Here, we report the design, formation mechanism, and applications of a polymer nanocomposite obtained by single-step laser integration of functionalized graphene into...
Article
The recent development of the Internet of Things (IoT) has enabled a significant technology that aids quick healthcare solutions through the use of smart wearables sensors. Indeed, undesirable events and network threats can appear in any physiological recording in Wireless Body Sensor Networks (WBSN), leading to a misdiagnosis. These events and thr...
Conference Paper
Full-text available
According to the World Health Organization (WHO), 70% of all epileptic seizures are convulsive, making the EMG signal one of the essential signals used for epilepsy treatment. Nevertheless, epileptic seizure classification remains a challenge. Suitable machine learning classifiers and features are the critical metrics for good performance. In this...
Article
Electrical impedance tomography (EIT) is an imaging method for characterizing the inner conductivity distribution of an object based on the measured boundary voltages resulting from the injection of an AC signal, followed by an image reconstruction procedure. An algorithm tries to solve an ill-posed inverse problem making it challenging to reconstr...
Article
Full-text available
A suitable framework for the development of artificial neural networks is important because it decides the level of accuracy, which can be reached for a certain dataset and increases the certainty about the reached classification results. In this paper, we conduct a comparative study for the performance of four frameworks, Keras with TensorFlow, Py...
Article
Full-text available
The growth of the Internet of Things (IoTs) and the number of connected devices is driven by emerging applications and business models. One common aim is to provide systems able to synchronize these devices, handle the big amount of daily generated data and meet business demands. This paper proposes a cost-effective cloud-based architecture using a...
Article
A central issue in Wireless Body Sensor Networks (WBSNs) is the large amount of measurement data for monitoring vital parameters, which need to be continuously measured, immediately processed and timely transmitted. This requires a big storage space and computing effort leading to a high-power consumption. Reducing the amount of transmitted data co...
Article
Full-text available
Energy limitations remain a key concern in the development of Internet of Medical Things (IoMT) devices since most of them have limited energy sources, mainly from batteries. Therefore, providing a sustainable and autonomous power supply is essential as it allows continuous energy sensing, flexible positioning, less human intervention, and easy mai...
Article
Full-text available
Excessive nitrite amounts harm the environment and put public health at high risk. Therefore, accurate and sensitive detection of nitrite in surface and groundwater is mandatory for mitigating its adverse effects. Herein, a highly sensitive electrochemical sensor based on carbon screen-printed electrodes (CSPE) surface-modified with photochemically...
Article
Full-text available
Sensitive electrodes are of a great importance for the realization of highly performant electrochemical sensors for field application. In the present work, a laser-induced carbon (LIC) electrode is proposed for 4-Aminophenol (4-AP) electrochemical sensors. The electrode is patterned on a commercial low-cost polyimide (Kapton) sheet and functionaliz...
Article
Full-text available
Dispersion of carbon nanotubes (CNT) in solvents and/or polymers is essential to reach the full potential of the CNTs in nanocomposite materials. Dispersion of CNTs is especially challenging due to the van-der-Waals attraction forces between the CNTs, which let them tend to re-bundle and/or re-aggregate. This paper presents a brief analysis of the...
Article
Full-text available
For embedded impedance spectroscopy, a suitable method for analyzing AC signals needs to be carefully chosen to overcome limited processing capability and memory availability. This paper compares various methods, including the fast Fourier transform (FFT), the FFT with barycenter correction, the FFT with windowing, the Goertzel filter, the discrete...
Article
Full-text available
Wireless Sensor Networks (WSNs) are prone to highly constrained resources, as a result ensuring the proper functioning of the network is a requirement. Therefore, an effective WSN management system has to be integrated for the network efficiency. Our objective is to model, design, and propose a homogeneous WSN hybrid architecture. This work feature...
Article
Full-text available
We investigated functionalized graphene materials to create highly sensitive sensors for volatile organic compounds (VOCs) such as formaldehyde, methanol, ethanol, acetone, and isopropanol. First, we prepared VOC-sensitive films consisting of mechanically exfoliated graphene (eG) and chemical graphene oxide (GO), which have different concentrations...
Article
Oversampling methods are among the most widely used methods to solve imbalanced data analysis due to their simplicity and flexibility. Multi-class imbalanced problems involve critical issues related to synthetic samples and corresponding consequences on the classification results. The over-fitting phenomenon, the overlapping regions between classes...
Article
Full-text available
The use of Multiwalled carbon nanotubes (MWCNTs) as surface modification material for electrochemical sensors is gaining importance. Thereby, the performance of the MWCNT modified sensors is dependent on the preparation parameters of the MWCNT dispersion, which should ensure a good homogeneity, an increased surface area and an enhancement of electr...
Article
The design of distributed real-time systems including In- ternet of Things (IoT) systems is complex due to open-ended architectures requirements. An emergent solution to deal with this complexity and to manage system constraints is the integration of adaptation strategies in distributed devices behavior. The developement of such systems denotes a s...
Article
Hand sign recognition is gaining importance in human-human and in human-machine communication and interaction. Electrical Impedance Tomography (EIT) is thereby very interesting as it provides information on impedance changes in depth of the section of the arm, which infers muscle contractions. This paper introduces an EIT imaging system for hand si...
Conference Paper
In this paper, an IoT and mobile based smart water level controlling system has been implemented to send alert notification message to the farmers and to deliver anytime information about the water level in order to fill the tank with the necessary water. This system allows continuous pouring of the required amount of water to crops, provides conti...
Article
Full-text available
Double perovskites are currently being intensively studied thanks to their highly relevant technological potential as materials with manifold properties. This contribution aims to the preparation of double perovskite oxide material BiBaFeZnO6, which is synthesized by the sol–gel method. The structural study shows that the sample is single phase and...