Pub Date : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765931
Boncho Nikov
This paper presents a novel design methodology of a Continuous-time ΣΔ-Modulator operating at a limit cycle. The methodology employs both the describing functions linearization method and the out-of-band gain theory to find the parameters of the loop filter. As a result of the unification a single mathematical description of the loop requirements is obtained as a system of inequalities. Each of the solutions of the inequalities represents a possible modulator. An example is provided to demonstrate the design process.
{"title":"Design of Continuous-Time ΣΔ-modulator With Single-Bit Quantizer With Hysteresis Operating at Limit Cycle","authors":"Boncho Nikov","doi":"10.1109/IC_ASET53395.2022.9765931","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765931","url":null,"abstract":"This paper presents a novel design methodology of a Continuous-time ΣΔ-Modulator operating at a limit cycle. The methodology employs both the describing functions linearization method and the out-of-band gain theory to find the parameters of the loop filter. As a result of the unification a single mathematical description of the loop requirements is obtained as a system of inequalities. Each of the solutions of the inequalities represents a possible modulator. An example is provided to demonstrate the design process.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"13 1","pages":"12-16"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89576395","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765928
Arom Moreno-Ortiz, Daniela Sánchez-Orozco, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna
This paper studies the mathematical model required to implement an intelligent control system for the autonomous sailboat SenSailor Drone. This work presents the required equations and defines the hardware configuration and interactions between sensors and actuators in the system to be mounted. The proposed model was developed in Python, and it is feasible to interact with open source tools of machine learning. The generated trajectories will be used as input trajectories to train a Neural Network that identifies a plant model and gives an optimal controller for the desired behaviors.
{"title":"Modelling of an Intelligent Control Strategy for an Autonomous Sailboat - SenSailor","authors":"Arom Moreno-Ortiz, Daniela Sánchez-Orozco, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna","doi":"10.1109/IC_ASET53395.2022.9765928","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765928","url":null,"abstract":"This paper studies the mathematical model required to implement an intelligent control system for the autonomous sailboat SenSailor Drone. This work presents the required equations and defines the hardware configuration and interactions between sensors and actuators in the system to be mounted. The proposed model was developed in Python, and it is feasible to interact with open source tools of machine learning. The generated trajectories will be used as input trajectories to train a Neural Network that identifies a plant model and gives an optimal controller for the desired behaviors.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"4 1","pages":"34-38"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75562987","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765898
Souha Ayadi, Z. Lachiri
Visual emotion recognition is a very large field. It plays a very important role in different domains such as security, robotics, and medical tasks. The visual tasks could be either image or video. Unlike the image processing, the difficulty of video processing is always a challenge due to changes in information over time variation. Significant performance improvements when applying deep learning algorithms to video processing. This paper presents a deep neural network based on ResNet50 model. The latter is conducted on the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) due to the variance of the nature of the data exists which is speech and song. The choice of ResNet model is based on the ability of facing different problems such as of vanishing gradients, the performing stability offered by this model, the ability of CNN for feature extraction which is considered to be the base architecture for ResNet, and the ability of improving the accuracy results and minimizing the loss. The achieved results are 57.73% for song and 55.52% for speech. Results shows that the Resnet50 model is suitable for both speech and song while maintaining performance stability.
{"title":"Deep Neural Network for visual Emotion Recognition based on ResNet50 using Song-Speech characteristics","authors":"Souha Ayadi, Z. Lachiri","doi":"10.1109/IC_ASET53395.2022.9765898","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765898","url":null,"abstract":"Visual emotion recognition is a very large field. It plays a very important role in different domains such as security, robotics, and medical tasks. The visual tasks could be either image or video. Unlike the image processing, the difficulty of video processing is always a challenge due to changes in information over time variation. Significant performance improvements when applying deep learning algorithms to video processing. This paper presents a deep neural network based on ResNet50 model. The latter is conducted on the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) due to the variance of the nature of the data exists which is speech and song. The choice of ResNet model is based on the ability of facing different problems such as of vanishing gradients, the performing stability offered by this model, the ability of CNN for feature extraction which is considered to be the base architecture for ResNet, and the ability of improving the accuracy results and minimizing the loss. The achieved results are 57.73% for song and 55.52% for speech. Results shows that the Resnet50 model is suitable for both speech and song while maintaining performance stability.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"3 1","pages":"363-368"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75736918","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765863
Imen Hamrouni, K. Abdellafou, Hajer Lahdhiri, O. Taouali, Kais Bouzrara
In this paper, a new fault detection index is used in the algorithm of moving window interval CIPCA. This later treats the interval data by making on consideration the uncertainties, the proposed approach is compared with the existing faultdetection index and possesses the best performance.
{"title":"A New Anomaly Detection Indexbased Moving Window Interval PCA","authors":"Imen Hamrouni, K. Abdellafou, Hajer Lahdhiri, O. Taouali, Kais Bouzrara","doi":"10.1109/IC_ASET53395.2022.9765863","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765863","url":null,"abstract":"In this paper, a new fault detection index is used in the algorithm of moving window interval CIPCA. This later treats the interval data by making on consideration the uncertainties, the proposed approach is compared with the existing faultdetection index and possesses the best performance.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"8 1","pages":"461-466"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90012574","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765914
Noureddine Akoubi, J. B. Salem, L. El Amraoui
This paper proposes a robust approach to design a maximum power point tracking (MPPT) controller based on artificial neural networks (ANN). This approach is developed by combining the incremental conductance (IC) method and ANN. The first step presents the MPPT control system using the conventional IC method (MPPT_IC). Then, a second step proposes an algorithm exploiting the IC method to generate the appropriate training data for the ANN. The results show the ability of the ANN controller (MPPT_ANN) to provide the best control performance under various solar irradiance and temperature values. Its effectiveness of tracking has been compared to the traditional MPPT_IC controller. The test results presented show the performance of the proposed MPPT_ANN controller. The study results are simulated and validated by MATLAB/Simulink software.
{"title":"Contribution on the Combination of Artificial Neural Network and Incremental Conductance Method to MPPT Control Approach","authors":"Noureddine Akoubi, J. B. Salem, L. El Amraoui","doi":"10.1109/IC_ASET53395.2022.9765914","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765914","url":null,"abstract":"This paper proposes a robust approach to design a maximum power point tracking (MPPT) controller based on artificial neural networks (ANN). This approach is developed by combining the incremental conductance (IC) method and ANN. The first step presents the MPPT control system using the conventional IC method (MPPT_IC). Then, a second step proposes an algorithm exploiting the IC method to generate the appropriate training data for the ANN. The results show the ability of the ANN controller (MPPT_ANN) to provide the best control performance under various solar irradiance and temperature values. Its effectiveness of tracking has been compared to the traditional MPPT_IC controller. The test results presented show the performance of the proposed MPPT_ANN controller. The study results are simulated and validated by MATLAB/Simulink software.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"21 1","pages":"109-114"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75759699","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765832
A. Jouini, S. Hasnaoui, A. Cherif
in this paper, we present a comparative study of patch antennas with six different shapes, namely rectangular, Insetfed, InvertedFcoplanar, InvertedLcoplanar, triangular, Circular. These antennas are implemented using Matlab software and are designed on FR4 material with a dielectric constant of 4.8 and a thickness of 2.03 mm. yet many parameters such as radiation pattern, S parameter and the gain of these antennas are compared. The operating frequency of all these antennas is taken at 5.9 GHz the frequency of C-v2x Communication.
{"title":"Comparative Study of patch antennas for C-V2x Communication","authors":"A. Jouini, S. Hasnaoui, A. Cherif","doi":"10.1109/IC_ASET53395.2022.9765832","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765832","url":null,"abstract":"in this paper, we present a comparative study of patch antennas with six different shapes, namely rectangular, Insetfed, InvertedFcoplanar, InvertedLcoplanar, triangular, Circular. These antennas are implemented using Matlab software and are designed on FR4 material with a dielectric constant of 4.8 and a thickness of 2.03 mm. yet many parameters such as radiation pattern, S parameter and the gain of these antennas are compared. The operating frequency of all these antennas is taken at 5.9 GHz the frequency of C-v2x Communication.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"78 1","pages":"61-66"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80801895","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765907
Marwa Ben Arab, M. Rekik, L. Krichen
The smart home, which is regarded as a key component of the smart grid consumption, uses innovative communication and information technologies in order to improve the reliability, stability, and efficiency of the electric system. Plug-in electric vehicle (PEV) which is a controllable component, has the flexibility of charging and discharging through a domestic charging socket at home. In this paper, a home energy management system optimisation HEMSO is suggested to arrive at an optimal scheduling of PEV in a smart home in order to smooth its power profile, obtaining a free charging of plug-in electric vehicles (PEV) and reducing the electricity bill. The proposed framework is implemented through Particle Swarm Optimization (PSO) algorithm to improve the efficacy of the proposed strategy.
{"title":"A Smart Home Energy Consumption Optimisation Based on Multi-Constraints PSO Strategy","authors":"Marwa Ben Arab, M. Rekik, L. Krichen","doi":"10.1109/IC_ASET53395.2022.9765907","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765907","url":null,"abstract":"The smart home, which is regarded as a key component of the smart grid consumption, uses innovative communication and information technologies in order to improve the reliability, stability, and efficiency of the electric system. Plug-in electric vehicle (PEV) which is a controllable component, has the flexibility of charging and discharging through a domestic charging socket at home. In this paper, a home energy management system optimisation HEMSO is suggested to arrive at an optimal scheduling of PEV in a smart home in order to smooth its power profile, obtaining a free charging of plug-in electric vehicles (PEV) and reducing the electricity bill. The proposed framework is implemented through Particle Swarm Optimization (PSO) algorithm to improve the efficacy of the proposed strategy.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"58 1","pages":"544-549"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80167731","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765910
H. Hsiang, Kuan-Chung Chen, Yung-Yuan Chen
This paper explores how to effectively increase the testing scenarios for robustness verification of autonomous vehicles by adjusting various traffic scenarios and different severity of quantifiable weather and interference parameters. The automated test and verification tools developed are based on the VTD vehicle simulation platform, which can quickly generate various weather conditions. In addition, considering the camera disturbed by the raindrops on windshield, we develop a faster and more realistic raindrop interference generation methodology, which can quantify the generation of different raindrop size, density, and flow interference, to enhance the realism and diversity of the testing scenarios of autonomous perception system. We demonstrate the usage of the proposed tools to generate the different testing scenarios under various weather conditions and interference. Then, the AI object detection models were tested under the generated testing scenarios to investigate the effect of raindrops on windshield on the robustness of the object detection model. The contribution of this work is to propose an effective simulation-based testing scenario generator to increase the test coverage and shorten the verification time of the robustness test of perception systems.
{"title":"Development of Simulation-Based Testing Scenario Generator for Robustness Verification of Autonomous Vehicles","authors":"H. Hsiang, Kuan-Chung Chen, Yung-Yuan Chen","doi":"10.1109/IC_ASET53395.2022.9765910","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765910","url":null,"abstract":"This paper explores how to effectively increase the testing scenarios for robustness verification of autonomous vehicles by adjusting various traffic scenarios and different severity of quantifiable weather and interference parameters. The automated test and verification tools developed are based on the VTD vehicle simulation platform, which can quickly generate various weather conditions. In addition, considering the camera disturbed by the raindrops on windshield, we develop a faster and more realistic raindrop interference generation methodology, which can quantify the generation of different raindrop size, density, and flow interference, to enhance the realism and diversity of the testing scenarios of autonomous perception system. We demonstrate the usage of the proposed tools to generate the different testing scenarios under various weather conditions and interference. Then, the AI object detection models were tested under the generated testing scenarios to investigate the effect of raindrops on windshield on the robustness of the object detection model. The contribution of this work is to propose an effective simulation-based testing scenario generator to increase the test coverage and shorten the verification time of the robustness test of perception systems.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"4 1","pages":"210-215"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87686237","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765947
S. Mohamed, Cherif Habib, Hasnaoui Othman, B. Jamel
In this paper, a techno-economic and environmental analysis was conducted to determine the feasibility of designing various models of hybrid power systems. Two hybrid systems (wind-solar with batteries) were developed: grid-connected and off-grid, with a diesel generator for emergency power. These configurations have been analysed using the Hybrid Multi-Energy Resource Optimization software which determine the emissions of pollutant gases, simulates and optimizes energy consumption according to energy demand and resources. For the financial analysis, the net present costs, O&M costs and Total Cost of Energy per unit were calculated. Both configurations were developed for the energy demand of an audiovisual chain. The results obtained show that the first system is the most cost effective due to for its implementation considering the energy production capacity, cost of energy, gas emissions and Net Present Cost.
{"title":"Comparative Analysis of Hybrid Systems for on-grid and off-grid Applications in Tunisia: case study of Audiovisual chain","authors":"S. Mohamed, Cherif Habib, Hasnaoui Othman, B. Jamel","doi":"10.1109/IC_ASET53395.2022.9765947","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765947","url":null,"abstract":"In this paper, a techno-economic and environmental analysis was conducted to determine the feasibility of designing various models of hybrid power systems. Two hybrid systems (wind-solar with batteries) were developed: grid-connected and off-grid, with a diesel generator for emergency power. These configurations have been analysed using the Hybrid Multi-Energy Resource Optimization software which determine the emissions of pollutant gases, simulates and optimizes energy consumption according to energy demand and resources. For the financial analysis, the net present costs, O&M costs and Total Cost of Energy per unit were calculated. Both configurations were developed for the energy demand of an audiovisual chain. The results obtained show that the first system is the most cost effective due to for its implementation considering the energy production capacity, cost of energy, gas emissions and Net Present Cost.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"43 1","pages":"450-455"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84631673","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765937
Hanen Yaakoubi, Joseph Haggège
This paper deals with the modeling of a three-tank system by using Mixed Logical Dynamical (MLD) formalism framework. The main goal of this study is to look for an adequate modeling approach for hybrid systems allowing the synthesis of control laws. This work is aligned to the Mixed Logical Dynamical approach devoted to hybrid dynamic systems (HDS), involving continuous behaviors and discrete events. The MATLAB and HYSDEL (Hybrid Systems Description Language) tools are used to simulate the MLD model of the considered Three-Tank Hybrid System (TTHS).
{"title":"Modeling of Three-Tank Hybrid System using Mixed Logical Dynamical formalism","authors":"Hanen Yaakoubi, Joseph Haggège","doi":"10.1109/IC_ASET53395.2022.9765937","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765937","url":null,"abstract":"This paper deals with the modeling of a three-tank system by using Mixed Logical Dynamical (MLD) formalism framework. The main goal of this study is to look for an adequate modeling approach for hybrid systems allowing the synthesis of control laws. This work is aligned to the Mixed Logical Dynamical approach devoted to hybrid dynamic systems (HDS), involving continuous behaviors and discrete events. The MATLAB and HYSDEL (Hybrid Systems Description Language) tools are used to simulate the MLD model of the considered Three-Tank Hybrid System (TTHS).","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"2 1","pages":"55-60"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75317069","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}
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