J. R. Bautista-Quijano, Kaiss Ghrairi, Bilel Ben Atitallah, O. Kanoun
{"title":"Investigation and Implementation of Elastomer Filament Strain Sensors for Monitoring of Hand Gestures","authors":"J. R. Bautista-Quijano, Kaiss Ghrairi, Bilel Ben Atitallah, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711913","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711913","url":null,"abstract":"The recognition of human gestures in real-time using body attached sensors has brought attention in recent years due to the manifold potential applications. The implemented sensors must be flexible, easy to adapt to bodily parts, highly sensitive and biocompatible. In this work a novel strain sensor is investigated which is based on a conductive thermoplastic polyurethane (CTPU) blended with a biocompatible soft thermoplastic polyurethane polymer (STPU). The sensor shows a high capability to transfer the mechanical deformation into an electrical response with high sensitivity. An investigation of the sensing properties using different mixture percentage of STPU/CTPU starting from 10/0 to 0/10 is carried out. The sensing behavior is characterized based on several mechanical and electrical properties e.g. stretchability, sensitivity, linearity, repeatability and hysteresis. The composition STPU/CTPU 7/3 showed a better performance compared to other studied compositions, where the elastic zone estimated was ∼13 (linearity = 0.98 within elastic zone) and 39 of sensitivity. The mentioned sensor's response demonstrates high repeatability and low hysteresis effect. Finally, the selected sensor composition was attached to a glove where the movement of a finger was successfully tracked.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988655","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}
Khawla Jeder, A. Bouhamed, Amina Ben Ayed, Hanen Nouri, H. Khemakhem, O. Kanoun
{"title":"Comparative Study of Lead-free Ferroelectric Nanoparticles to Boost the Performance of Flexible Nanogenerators","authors":"Khawla Jeder, A. Bouhamed, Amina Ben Ayed, Hanen Nouri, H. Khemakhem, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711874","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711874","url":null,"abstract":"Due to its excellent piezoelectric, ferroelectric and dielectric properties, lead-free ceramic BaTiO3 has attracted much attention for the production of nanogenerator materials. In the present paper, lead-free piezoelectric materials (Ba, Ca)(Zr, Ti)O3 was synthesized by the sol-gel method. In addition, Ca2+ and Zr4+ were substituted into the BaTiO3 crystal lattice to replace Ba2+ and Ti4+, respectively, to enhance the material properties. Subsequently, the ((Ba, Ca)(Zr, Ti)O3 powders were firstly mixed with poly(vinylidene fluoride)-co-hexafluoropropylene (PVDF-HFP) to prepare nanocomposite films. The performance of the fabricated nanocomposites was studied using both impedance and piezoelectric measurements. In this work, a maximum output voltage (∼1.8 V) and power density $(sim 1.9 mu mathrm{W}/text{cm}^{3})$ were achieved for the composite incorporating BCZT particles. These results demonstrate the advantage of doping A and B sites for improving the piezoelectric performance.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133815662","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}
{"title":"Regularized Linear Kramers-Kronig Transform for Consistency Check of Noisy Impedance Spectra with Logarithmic Frequency Distribution","authors":"Ahmed Yahia Kallel, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711895","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711895","url":null,"abstract":"Measured impedance spectra can be noisy or can be affected by artifacts due to system nonlinearity or instability. Methods, such as the Linear Kramers-Kronig help to check consistency of measurements, but have massive problems with noisy spectra. Filtering or averaging, which are often used for noise reduction, are not always efficient. They lead, in some cases, in impedance spectra, which are still noisy or having blurred features or oscillating due to over-correction. In this paper, we propose a Tikhonov regularized linear Kramers-Kronig transform (LKK) for checking consistency and correct noisy impedance spectra. The proposed method introduces damped weights bias [1] to regularize the inverse problem related to the parameter extraction for the Voigt model building the basis for the LKK. This results in a Kramers-Kronig-compliant, corrected, impedance spectrum with significantly reduced noise effects. Applied on a measured noisy RC impedance spectrum, as example, and and an impedance spectrum of lithium-ion battery. The proposed method reduces measurement deviation from a RMSE of $35 Omega$ to a RMSE of $14 Omega$.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"16 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120692","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}
William Aït-Idir, S. Touhami, Meriem Daoudi, J. Dillet, J. Mainka, O. Lottin
{"title":"Oxygen Transport Impedance in a Polymer Electrolyte Membrane Fuel Cell Equivalent Electrical Circuit","authors":"William Aït-Idir, S. Touhami, Meriem Daoudi, J. Dillet, J. Mainka, O. Lottin","doi":"10.1109/IWIS54661.2021.9711832","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711832","url":null,"abstract":"One common way to interpret the data of Electrochemical Impedance Spectroscopy (EIS) with Polymer Exchange Membrane Fuel Cells (PEMFC) consists in using an Equivalent Electrical Circuit (EEC). There are however various issues in EEC modeling, among which the location and expression of the oxygen transport impedance. In this work, we compare the results obtained using a Randles circuit with those of an EEC where the oxygen diffusion impedance is connected in series with the circuit of the Cathode Catalyst Layer (CCL). In the Randles circuit, the oxygen transport impedance is in series with the charge transfer resistance of the Oxygen Reduction Reaction (ORR), implying that the CCL (pores and/or ionomer) is governing oxygen diffusion. In the other case, the oxygen diffusion impedance is outside of the CCL circuit, which implicates that the Gas Diffusion Layer (GDL) governs oxygen diffusion. In addition, two expressions of the GDL oxygen diffusion impedance were tested: the usual finite Warburg impedance and an alternative expression derived by Kulikovsky that considers the impact of the double-layer capacity on oxygen concentration at the CCL/GDL interface. The parameters obtained with these EEC are used to estimate the main characteristic diffusion length, for various cells and operating conditions. The same trend was observed in all cases: the values of the characteristic diffusion length are found to be of the order of the GDL thickness.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332770","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}
{"title":"A Crest-Factor Optimization Algorithm for Multisine Signals based on the Evolutionary Role Playing Game Theory","authors":"Ahmed Yahia Kallel, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711767","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711767","url":null,"abstract":"In impedance spectroscopy, excitation signals should be limited in their amplitude to fulfil the linearity condition and in their duration to fulfill the stability condition. Multisine excitation signals are suitable because they can reduce the excitation time duration, but they need to be optimized concerning crest factor (CF). A higher challenge is the optimization of the crest factor of multisine signals. In this paper, we propose a hybrid deterministic-heuristic optimization method for CF optimization based on the Evolutionary Role Playing Game Theory able to realize multisine signals with lower and more consistent CF for logarithmically distributed signal frequency components. The novel optimization method needs a short execution time, which is comparable to that of deterministic methods. The method validation has been carried out for bioimpedance measurement. In the case of bioimpedance measurement, the new method reaches a CF with a median of 1.76, which is significantly lower than state-of-the-art methods realizing a CF typically between 1.89 and 2.79.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125005280","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}
Tayssir Chouikh, Hiba Hellara, Rim Barioul, Faten Sandid, O. Kanoun
{"title":"Comparative Study of Optimization Methods Proposed for the Extreme Learning Machine (ELM)","authors":"Tayssir Chouikh, Hiba Hellara, Rim Barioul, Faten Sandid, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711902","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711902","url":null,"abstract":"The Extreme Learning Machine (ELM) is a learning algorithm used for training a single hidden layer feed-forward neural network (SLFN). It leads to a better generalization performance and fast learning speed and many more advantageous properties. The first step of an ELM is to assign random values to the input weights and biases. Then it will determine the output weights in a single step using the generalized Moore-Penrose method. The random initialization of weights and biases and a large number of hidden nodes can affect the performance of the ELM. Several optimizers were proposed aiming to increase generalization performance and produce more compact networks. This paper presents a comparative study of ELM optimization in the state of the art using existing algorithms namely Optimally Pruned ELM (OP-ELM), Grey Wolf Optimizer (GWO), Salp Swarm Algorithm (SSA), Bat Algorithm (BA), and Particle Swarm Optimization (PSO) which are swarm intelligence-based ELMs. Also Genetic Pruning Algorithm (GPA) and Enhanced Genetic Algorithm (EGA) which are pruning methods using evolutionary algorithms. Results prove that SSA-ELM improves the accuracy in most benchmark datasets and shows better results than the other comparing methods while OP-ELM gives the most compact model with a high level of accuracy.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122413906","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}
Achraf Djemal, D. Bouchaala, A. Fakhfakh, O. Kanoun
{"title":"Epileptic Seizure Motion Classification based on sEMG and Artificial Neural Network","authors":"Achraf Djemal, D. Bouchaala, A. Fakhfakh, O. Kanoun","doi":"10.1109/IWIS54661.2021.9711793","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711793","url":null,"abstract":"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 paper, a collection of widely used time-domain features of surface electromyography (sEMG) signals is illustrated and an investigation of their ability to distinguish epileptic seizures is reported for five subjects performing myoclonic and tonic seizures using eight sEMG sensors placed on different muscles: Biceps brachii, flexor carpi ulnaris, gastrocnemius, and quadriceps. Feature selection step is required to eliminate information redundancy and irrelevant before epileptic seizure classification. The results show that extracting Waveform Length, Integrated EMG, Variance, Shannon Entropy, Complexity, Skewness, and Root Mean Square values are more significant for myoclonic-tonic seizure classification based on sEMG signal analysis. Selected features have been subjected to the Artificial Neural Network classifier. An overall epileptic seizure accuracy of 96% could be achieved by the ANN algorithm based on seven selected features.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735728","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}
{"title":"High Frequency Impedance Spectroscopy for Biotechnological Applications","authors":"Y. Zaikou, T. Nacke, U. Pliquett","doi":"10.1109/IWIS54661.2021.9711786","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711786","url":null,"abstract":"The impedance spectroscopy in the frequency range above 100 MHz exhibits excellent opportunities for many applications but poses considerable problems. Precise measurements require careful setup and calibration or the instrumentation. Time domain reflectometry and frequency domain-based measurements give equivalent results despite the methodology is quite different. Understanding the basics can help to prevent measurement errors and misinterpretation.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126001504","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}
M. Ambrico, M. Lasalvia, T. Ligonzo, P. Ambrico, G. Perna, V. Capozzi
{"title":"Early Altered Cells Health Status Detection via Label Free Impedance and Broadband dielectric Spectroscopy","authors":"M. Ambrico, M. Lasalvia, T. Ligonzo, P. Ambrico, G. Perna, V. Capozzi","doi":"10.1109/IWIS54661.2021.9711769","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711769","url":null,"abstract":"Human cells are able to respond to applied electrical signals and their response is different according to cell health status. In this framework, the electrical bio-impedance can be sensitive tools to monitor cellular health status in addition to other commonly adopted biological methods. Here we show that in vitro cellular lines affected by inflammatory processes or outside insult can be identified by using impedance and broadband dielectric spectroscopy analysis. The analysis of specific parameters of the electrical response evidences modification in the cells compartments. The features of the cell electrical response allow to discriminate between the different processes involved.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134243906","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}
Soufiane Aouane, R. Claverie, D. Técher, I. Durickovic, Lionel Rousseau, P. Poulichet, O. Français
{"title":"Cole-Cole Parameter Extraction from Electrical Impedance Spectroscopy for Real-time Monitoring of Vegetal Tissue: Case Study with a Single Celery Stalk","authors":"Soufiane Aouane, R. Claverie, D. Técher, I. Durickovic, Lionel Rousseau, P. Poulichet, O. Français","doi":"10.1109/IWIS54661.2021.9711854","DOIUrl":"https://doi.org/10.1109/IWIS54661.2021.9711854","url":null,"abstract":"Real-time monitoring of the physiological state of plants using Electrical Impedance Spectroscopy (EIS) may help to optimize their need for watering in order for them to efficiently contribute to urban cooling. This paper presents first results obtained from continuous EIS acquisition during 9 days, applied on a celery stalk, in order to follow it physiological stage. A Cole-Cole modeling is used in order to extract parameter evolution versus time or mass loss of the plant. As a first result, a link is established between the curve shape obtained and the celery stalk tampering.","PeriodicalId":207918,"journal":{"name":"2021 International Workshop on Impedance Spectroscopy (IWIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129502150","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}