Abdul-Wahid A. Saif, Mujahed Al Dhaifallah, Turki Bin Muhaya, Omer Majeed
{"title":"Intelligent Robot Powered by Solar Energy","authors":"Abdul-Wahid A. Saif, Mujahed Al Dhaifallah, Turki Bin Muhaya, Omer Majeed","doi":"10.1109/SSD52085.2021.9429425","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429425","url":null,"abstract":"This paper intends to present an educational attempt to build a self-managed robot in which it can generate power for itself using renewable, solar cell, incorporating the maximum power point tacking theory and the use of soft computing (Artificial Intelligence) to derive itself. Such devices are expected to replace many labor work jobs in the next decades. This report covers the hardware part of the robot, the software part, further analysis using Fuzzy Logic and Neural Networks, and some proposed industrial applications.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"75 1","pages":"194-200"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80664434","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":"Design of an IoT-Enabled Microgrid Architecture for a Partial Grid-Connected Mode","authors":"Mahmoud Shaban, I. Dhaou","doi":"10.1109/SSD52085.2021.9429408","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429408","url":null,"abstract":"This paper proposes an architecture for the control of the microgrid using IoT connectivity. The control aims at connecting or disconnecting the residential houses to the main-grid based on the power generated by the distributed energy resources. The architecture has been verified using Proteus software, modeled, and simulated using Matlab/Simulink package. The results show that the control algorithm connects the highest load to the grid in a switching time of less than one second.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"110 1","pages":"1115-1119"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80798227","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}
Mohammad Hossein Tarokh, Dhouha El Houssaini, C. Viehweger, O. Kanoun
{"title":"Design of a Wireless Sensor Node based on MSP430FR5969 for Environment Monitoring Applications","authors":"Mohammad Hossein Tarokh, Dhouha El Houssaini, C. Viehweger, O. Kanoun","doi":"10.1109/SSD52085.2021.9429293","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429293","url":null,"abstract":"Environment monitoring using Wireless Sensor Networks (WSNs) is considered as a challenging and demanding field, which enables to collect and process large amount of data related to the deployment environment. Thus, the performance of the monitoring system is dependent strongly of the hardware capability of the deployed nodes, as well as of the communication protocols and data transmission strategies. In this work, a new wireless sensor node is introduced. The node uses MSP430FR5969 microcontroller, which offers a high processing capability with reduced energy consumption and has a maximum operating frequency of 16 MHz. The node is compact in size with a dimension of dimensions $53times 33 mm^{2}$. The node consumes an average of 27.35 mA during transmission. Current consumption during the sleep and idle modes are 0.33 mA and 31 mA, respectively. An outdoor application is presented, where the node is equipped with a solar panel for energy harvesting. The battery voltage variation and the Received Signal Strength (RSSI) were continuously measured and evaluated.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"68 1","pages":"241-248"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80342829","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}
Rym Skhiri, V. Fresse, J. Malek, Benoît Suffran, Jean-Paul Jamont
{"title":"An approach for an efficient sharing of IP as a Service in cloud FPGA","authors":"Rym Skhiri, V. Fresse, J. Malek, Benoît Suffran, Jean-Paul Jamont","doi":"10.1109/SSD52085.2021.9429338","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429338","url":null,"abstract":"Using FPGAs in the cloud has rapidly and significantly increased over the last few years. FPGA devices can be either integrated to support the cloud infrastructure or used as a computing resources. FPGA are available as a computing resources for enabling the designers to accelerate their applications. Putting FPGA environment in the cloud called FPGA as a service, have proposed different services. These existing services cannot solve all challenges. In this paper, we propose a new service called Intellectual Property (IP) as a Service trying to resolve the unsolved challenges. This service will allow easily and Quickly exploit and share IP in the cloud.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"65 1","pages":"784-789"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78797386","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":"Trapping/detrapping induced negative differential resistance in Cu/Ni:ZnO/InGa Schottky diode","authors":"N. Hamdaoui, F. B. Amor, A. Mezni, R. Ajjel","doi":"10.1109/SSD52085.2021.9429423","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429423","url":null,"abstract":"A Schottky diode based Cu/Ni:ZnO/InGa structure has been fabricated. The electrical characterization have highlighted the presence of negative differential resistance (NDR) effect and negative photoconductivity (NPC) in one device and at room temperature. The NDR effect can be explained in terms of trappings and detrapping of the mobile charges at the interface Cu/ Ni:ZnO. The main cause of the NPC effect is a combination between carriers injection by the external field and photocarriers due to UV illumination. As a result, these two features (NDR and NPC) lead to the optical switching effect in our device.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"41 1","pages":"1339-1344"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77964299","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}
Tony Castillo-Calzadilla, Simon Fessler, C. E. Borges, C. M. Andonegui
{"title":"Urban district modelling simulation-based analysis: under which scenarios can we achieve a Positive Energy District?","authors":"Tony Castillo-Calzadilla, Simon Fessler, C. E. Borges, C. M. Andonegui","doi":"10.1109/SSD52085.2021.9429457","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429457","url":null,"abstract":"This article analysis the possibility of achieving a Positive Energy District (PED), i.e. a district that generates more energy than it consumes. The paper presents a simulation-based analysis (MATLAB-Simulink environment) of an urban unit composed by 6 buildings, 6 streetlights and an electric vehicle (EV) charger. The PED is analysed with respect to the electrical energy generation and consumption evaluating a set of monthly and yearly energy profiles representative of the North of Spain (Bilbao). On the one hand, the monthly analysis is conducted by simulating the solar photovoltaic (PV) generation, an energy storage system (ESS), and the interconnection with the utility grid. For this analysis, we consider standard lights (regular bulbs) and standard isolation of buildings (certified as $A, B, C$ or $D$). The result is that only summer months (April, May, June, July, and August) present a positive energy balance. For the annual analysis, eight scenarios are defined in which different interventions are simulated, such as the upgrade of insulation profiles, replacement of standard luminaires with LEDs, inclusion of PV rooftops, etc. The positivity of the district is achieved when energy efficiency of buildings was high (with $B$ certification) and no EV was included (652.50 kWh positive balance), or very high (buildings labelled as $A$) and the EV was considered (2882.91 kWh positive balance).","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"15 1","pages":"1107-1114"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85750924","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}
Sarra Missaoui, A. Bouhamed, Mohamed Hassan Khedri, H. Khemakhem, O. Kanoun
{"title":"Enhanced piezoelectric performance of lead free BCZT based flexible nanogenerator","authors":"Sarra Missaoui, A. Bouhamed, Mohamed Hassan Khedri, H. Khemakhem, O. Kanoun","doi":"10.1109/SSD52085.2021.9429322","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429322","url":null,"abstract":"Piezoelectric nanogenerator are attracting a lot of attention due to environmental constraints and the ecological considerations of energy collection. A piezoelectric nanocomposite based on Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT) nanoparticles and PDMS polymer with excellent output properties for the application of nanogenerators has been developed. The piezoelectric nanogenerator is smart device that offers these required qualities and properties and converts mechanical energy. Here PENG can generate an open circuit voltage of 10 V respectively under the effect of light finger tapping. It reaches an output power of $mathrm{P}=2.218 mumathrm{W}$ for a resistance $mathrm{R}=370 mathrm{k}Omega$ under shaker vibration. This generator is known by its simple and ordinary design as well its high performance after polarization. However, the polarization is long and unsafe. To avoid this problem, a homogeneous distribution of carbon nanotubes (CNTs) on the BCZT/PDMS matrix is the best solution to have self-polarized generator. In this study, piezoelectric nanocomposites were prepared using solution mixing method. A comparative study was performed to investigate the impact of CNTs on the performance of nanogenrators under external mechanical load. The nanogenerator with 15 wt.% BCZT doped with CNTs offers an outstanding output performance with an open circuit voltage of 15 V and an output power $mathrm{P}=5.68029 mumathrm{W}$ at a resistance load $mathrm{R}=350 mathrm{k}Omega$ using the shaker device.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"1 1","pages":"889-894"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91089860","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":"Tonic-Myoclonic Epileptic Seizure Classification based on Surface Electromyography","authors":"Achraf Djemal, D. Bouchaala, A. Fakhfakh, O. Kanoun","doi":"10.1109/SSD52085.2021.9429401","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429401","url":null,"abstract":"Epilepsy diagnosis is one of the critical subjects of research in health fields in recent years. The aim of this paper is to detect and classify two types of seizures: Tonic and myoclonic based on surface electromyography signals. Based on data from eight sEMG electrodes on the biceps brachii, flexor carpi ulnaris, gastrocnemius and quadriceps muscle. Several time domain features were investigated, including waveform length, mean absolute value, variance, mobility, complexity, kurtosis, skewness, simple square integral, integrated EMG, root mean square, average amplitude change, standard deviation and entropy. These features are used as inputs to the Artificial Neural Network (ANN) classifier to determine if a data segment corresponds to a seizure or not. Following the development of the ANN model, an evaluation performance in terms of accuracy is presented to validate the results, which reached an accuracy of 93.33%. The overall performance of the presented machine learning algorithm is sufficient for clinical implementation.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"696 ","pages":"421-426"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91465973","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":"Comparative evaluation of the performance of a capacitive and a non-capacitive microbial fuel cell","authors":"Imologie Meshack Simeon, A. Imoize, R. Freitag","doi":"10.1109/SSD52085.2021.9429481","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429481","url":null,"abstract":"Electrode materials play a critical role in the performance of microbial fuel cells. This study investigates the contribution of capacitive bio-electrodes to sustainable power production in a single-chamber microbial fuel cell (MFC). The capacitive electrodes consisted of a stainless-steel wire mesh with an activated carbon layer, while the non-capacitive control electrodes were made of graphite felt with a wound current collector. The MFCs were constructed using a glass vessel with the anode completely buried in biologically active soil and the cathode placed above the soil to form a single chamber configuration. The performance of the MFCs was investigated using linear sweep voltammetry (LSV) and electrochemical impedance spectroscopy (EIS). The results showed that the performance of the capacitive MFC was three times better than that of the non-capacitive MFC. While there was no significant difference in the Ohmic resistances of the MFCs, there was a significant difference in charge transfer resistance and capacitance of the MFCs. The capacitive MFC had a double layer capacitance of $8.282 mu mathrm{F}$ in addition to the diffuse layer capacitance at the layer/metal interface of 2.012 F, while the non-capacitive MFC had a double layer capacitance of $5.034 mu mathrm{F}$ with no diffuse layer capacitance. The results show that the capacitive characteristics of both cathode and anode improve the performance of a single-chamber MFC.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"16 1","pages":"1076-1082"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72866943","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}
G. Aversano, M. Jarraya, Maher Marwani, I. Lahouli, S. Skhiri
{"title":"MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation","authors":"G. Aversano, M. Jarraya, Maher Marwani, I. Lahouli, S. Skhiri","doi":"10.1109/SSD52085.2021.9429478","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429478","url":null,"abstract":"In this paper, we propose a framework for image classification tasks, named MIC, that takes as input multi-view images, such as RGB-T images for surveillance purposes. We combine auto-encoder and generative adversarial network architectures to ensure the multi-view embedding in a common latent space. Then, the resulting features are fed to the classification stage. The proposed framework is able to, all at once, train the multi-view embedding model to find a shared latent representation for the different views, perform data imputation (generate the missing views) and ensure the classification task by predicting the labels. Experiments on the MNIST dataset with a panoply of classifiers and several missingness ratios show the effectiveness of our solution.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"10 1","pages":"283-288"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85446653","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}