Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429425
Abdul-Wahid A. Saif, Mujahed Al Dhaifallah, Turki Bin Muhaya, Omer Majeed
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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429408
Mahmoud Shaban, I. Dhaou
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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429293
Mohammad Hossein Tarokh, Dhouha El Houssaini, C. Viehweger, O. Kanoun
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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429338
Rym Skhiri, V. Fresse, J. Malek, Benoît Suffran, Jean-Paul Jamont
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.
在过去几年中，在云中使用fpga的情况迅速而显著地增加。FPGA设备既可以集成以支持云基础设施，也可以用作计算资源。FPGA可作为一种计算资源，使设计人员能够加速其应用程序。将FPGA环境放在云端称为FPGA即服务，提出了不同的服务。这些现有的服务不能解决所有的挑战。在本文中，我们提出了一种名为“知识产权即服务”(IP as a service)的新服务，试图解决尚未解决的挑战。这项服务将允许轻松快速地利用和共享云中的IP。
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429423
N. Hamdaoui, F. B. Amor, A. Mezni, R. Ajjel
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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429457
Tony Castillo-Calzadilla, Simon Fessler, C. E. Borges, C. M. Andonegui
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).
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429322
Sarra Missaoui, A. Bouhamed, Mohamed Hassan Khedri, H. Khemakhem, O. Kanoun
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.
由于环境约束和能量收集的生态考虑，压电纳米发电机引起了人们的广泛关注。研制了一种以Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT)纳米粒子和PDMS聚合物为基础的输出性能优异的纳米复合材料。压电纳米发电机是一种智能设备，它提供了这些所需的质量和性能，并转换机械能。在这里，PENG可以在轻敲手指的作用下分别产生10v的开路电压。在激振器振动下，电阻$mathrm{R}=370 mathrm{k}Omega$的输出功率为$mathrm{P}=2.218 mumathrm{W}$。该发生器设计简单、普通，极化后性能优异。然而，两极分化是漫长而不安全的。为了避免这一问题，在BCZT/PDMS基体上均匀分布碳纳米管(CNTs)是实现自极化发生器的最佳方案。本研究采用溶液混合法制备了压电纳米复合材料。我们进行了一项比较研究，以研究CNTs对外部机械负载下纳米发电机性能的影响。15wt的纳米发电机。% 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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429401
Achraf Djemal, D. Bouchaala, A. Fakhfakh, O. Kanoun
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.
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429481
Imologie Meshack Simeon, A. Imoize, R. Freitag
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.
电极材料对微生物燃料电池的性能起着至关重要的作用。本研究探讨了电容性生物电极对单室微生物燃料电池(MFC)可持续发电的贡献。电容电极由带有活性炭层的不锈钢丝网组成，而非电容控制电极由带有线圈集流器的石墨毡制成。mfc是用玻璃容器构建的，阳极完全埋在生物活性土壤中，阴极置于土壤上方，形成一个单一的腔室结构。采用线性扫描伏安法(LSV)和电化学阻抗谱法(EIS)研究了mfc的性能。结果表明，电容式MFC的性能是非电容式MFC的3倍。虽然mfc的欧姆电阻没有显著差异，但mfc的电荷转移电阻和电容有显著差异。电容式MFC的双层电容为$8.282 mu mathrm{F}$，层/金属界面处弥漫层电容为2.012 F;非电容式MFC的双层电容为$5.034 mu mathrm{F}$，无弥漫层电容。结果表明，阴极和阳极的电容特性提高了单室MFC的性能。
{"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}
Pub Date : 2021-03-22DOI: 10.1109/SSD52085.2021.9429478
G. Aversano, M. Jarraya, Maher Marwani, I. Lahouli, S. Skhiri
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.
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