Pub Date : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875430
Soulef Bouaafia, Seifeddine Messaoud, Randa Khemiri, F. Sayadi
Deep learning has evolved as a discipline that has demonstrated its capacity and usefulness in tackling complicated learning issues as a result of recent improvements in digital technology and the availability of authentic data. Convolutional neural networks (CNNs) in particular have demonstrated their usefulness in image processing and computer vision applications. They do, however, need heavy CPU operations and memory bandwidth, which prevents general-purpose CPUs from attaining desirable performance levels. To boost CNN throughput, hardware accelerators such as application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and graphics processing units (GPUs) have been deployed. FPGAs, in particular, have lately been used to accelerate the development of deep learning networks due to their ability to optimize parallelism and power efficiency. Based on hardware-software architecture, this research provides a CNN acceleration model for video compression applications. Vivado High Level Synthesis is used to accelerate the CNN model in order to develop Intellectual Property (IP) cores.
由于数字技术的进步和真实数据的可用性，深度学习已经发展成为一门学科，在解决复杂的学习问题方面已经证明了它的能力和有用性。特别是卷积神经网络(cnn)已经证明了它们在图像处理和计算机视觉应用中的有用性。然而，它们确实需要大量的CPU操作和内存带宽，这使得通用CPU无法达到理想的性能水平。为了提高CNN的吞吐量，部署了专用集成电路(asic)、现场可编程门阵列(fpga)和图形处理单元(gpu)等硬件加速器。特别是fpga，由于其优化并行性和功率效率的能力，最近被用于加速深度学习网络的发展。基于软硬件架构，提出了一种用于视频压缩的CNN加速模型。使用Vivado High Level Synthesis来加速CNN模型，以开发知识产权(IP)核心。
{"title":"An FPGA-SoC based Hardware Acceleration of Convolutional Neural Networks","authors":"Soulef Bouaafia, Seifeddine Messaoud, Randa Khemiri, F. Sayadi","doi":"10.1109/SETIT54465.2022.9875430","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875430","url":null,"abstract":"Deep learning has evolved as a discipline that has demonstrated its capacity and usefulness in tackling complicated learning issues as a result of recent improvements in digital technology and the availability of authentic data. Convolutional neural networks (CNNs) in particular have demonstrated their usefulness in image processing and computer vision applications. They do, however, need heavy CPU operations and memory bandwidth, which prevents general-purpose CPUs from attaining desirable performance levels. To boost CNN throughput, hardware accelerators such as application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and graphics processing units (GPUs) have been deployed. FPGAs, in particular, have lately been used to accelerate the development of deep learning networks due to their ability to optimize parallelism and power efficiency. Based on hardware-software architecture, this research provides a CNN acceleration model for video compression applications. Vivado High Level Synthesis is used to accelerate the CNN model in order to develop Intellectual Property (IP) cores.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122702704","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875678
Alaaeddine Rjeb, H. Fathallah, M. Machhout
In this paper, a novel type of multimode fiber (MMF), characterized by an inverse hyperbolic tangent (IHTAN) index profile is proposed and designed for the robust transmission of 14 orbital angular momentum (OAM) mode groups (MG). Large inter group separation (≥1×10-4) is numerically achieved between OAM-MG (14 MG). This clearly outperforms the currently available data channels supported by the standard graded index MMF (OM3) and recent designed OAM-fibers. Various performance metrics such as chromatic dispersion (-76.53 [ps/nm.km]), differential group delay (-10.28 [ps/m]), and the possible use of small-scale multiple input multiple output digital signal processing (MIMO DSP) blocks are evaluated showing that the proposed IHTAN-MMF could be a viable candidate for next generation short haul optical interconnect.
{"title":"Novel Inverse Hyperbolic Tangent Fiber For Next Generation Mode Group & Mode Division Multiplexing systems","authors":"Alaaeddine Rjeb, H. Fathallah, M. Machhout","doi":"10.1109/SETIT54465.2022.9875678","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875678","url":null,"abstract":"In this paper, a novel type of multimode fiber (MMF), characterized by an inverse hyperbolic tangent (IHTAN) index profile is proposed and designed for the robust transmission of 14 orbital angular momentum (OAM) mode groups (MG). Large inter group separation (≥1×10-4) is numerically achieved between OAM-MG (14 MG). This clearly outperforms the currently available data channels supported by the standard graded index MMF (OM3) and recent designed OAM-fibers. Various performance metrics such as chromatic dispersion (-76.53 [ps/nm.km]), differential group delay (-10.28 [ps/m]), and the possible use of small-scale multiple input multiple output digital signal processing (MIMO DSP) blocks are evaluated showing that the proposed IHTAN-MMF could be a viable candidate for next generation short haul optical interconnect.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241701","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875647
Souhir Gabsi, Yassin Kortli, V. Beroulle, Yann Kieffer, Hamdi Bilgacem
ECC (Elliptic Curves Cryptosystems) are the most popular and efficient encryption systems used since 1985. They are being increasingly integrated in high security applications such as RFID devices, smart cards, bank-cards, etc. To be suitable for these applications, a lightweight implementation of the scalar multiplication operation is required. To achieve this goal, it is necessary to choose the parameters responsible for the cost reduction of the elliptic curve implementation. In this paper, we will first specify the elliptic curve parameters that are responsible for the optimization of the implementation of the scalar multiplication algorithm. Then, we will choose the most secure scalar multiplication algorithm to be implemented for security applications. The hardware implementation of our ECC architecture, using Virtex-7 board, requires a number of 6549 gates as total area requirement.
{"title":"Hardware Implementation of Secure scalar multiplication Algorithm","authors":"Souhir Gabsi, Yassin Kortli, V. Beroulle, Yann Kieffer, Hamdi Bilgacem","doi":"10.1109/SETIT54465.2022.9875647","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875647","url":null,"abstract":"ECC (Elliptic Curves Cryptosystems) are the most popular and efficient encryption systems used since 1985. They are being increasingly integrated in high security applications such as RFID devices, smart cards, bank-cards, etc. To be suitable for these applications, a lightweight implementation of the scalar multiplication operation is required. To achieve this goal, it is necessary to choose the parameters responsible for the cost reduction of the elliptic curve implementation. In this paper, we will first specify the elliptic curve parameters that are responsible for the optimization of the implementation of the scalar multiplication algorithm. Then, we will choose the most secure scalar multiplication algorithm to be implemented for security applications. The hardware implementation of our ECC architecture, using Virtex-7 board, requires a number of 6549 gates as total area requirement.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240391","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875464
Neziha Jaouedi, Noureddine Boujnah, M. Bouhlel
Human behavior analysis using action recognition remains an active research domain of computer vision. Action prediction using Artificial Intelligence (AI) by machine learning has attracted the attention of several researchers. The presentation of human action is usually considered an important challenge. An effective representative should be robust to noise, invariant to viewpoint changes and complex scenes involving high speeds. Two main challenges in this task include how to efficiently represent spatio–temporal patterns of skeletal movements and how to learn their discriminative human features for activity classification. In this survey, we present an overview of human presence and action recognition methods used in the last years. The results of the related works are compared with our results. The performance of methods is evaluated with different human action dataset such as KTH, UCF101, UCF Sport and CAD-60.
{"title":"A survey on human behavior analysis and actions recognition from videos","authors":"Neziha Jaouedi, Noureddine Boujnah, M. Bouhlel","doi":"10.1109/SETIT54465.2022.9875464","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875464","url":null,"abstract":"Human behavior analysis using action recognition remains an active research domain of computer vision. Action prediction using Artificial Intelligence (AI) by machine learning has attracted the attention of several researchers. The presentation of human action is usually considered an important challenge. An effective representative should be robust to noise, invariant to viewpoint changes and complex scenes involving high speeds. Two main challenges in this task include how to efficiently represent spatio–temporal patterns of skeletal movements and how to learn their discriminative human features for activity classification. In this survey, we present an overview of human presence and action recognition methods used in the last years. The results of the related works are compared with our results. The performance of methods is evaluated with different human action dataset such as KTH, UCF101, UCF Sport and CAD-60.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151742","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}
A trailer assist system is an Advanced Driver Assistance System. It enables a more effective maneuvering of a trailer towed by a vehicle. It is particularly useful in constraint scenarios such as parking, traffic jam, turns, etc. Traditionally, trailer assist systems are based on image processing methods or require specific sensors to measure the hitch angle. In this paper, we propose to estimate the hitch angle by making use of the existing rear camera of the vehicle and by using an image processing approach, thus avoiding the supplementary angle measurement sensor. To this extent, a dedicated database is collected and annotated. Two different methods are developed to predict this corresponding angle, the first method is based on a convolutional neural network and the second one is a deterministic image processing method. The two approaches are finally compared in terms of accuracy and execution time.
{"title":"Image Based Vehicle-Trailer Angle Estimation","authors":"Lila Kaci, Bacem Samet, Meriem Yahiaoui, A. Makni, Hadj Daoud Mousselmal","doi":"10.1109/SETIT54465.2022.9875840","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875840","url":null,"abstract":"A trailer assist system is an Advanced Driver Assistance System. It enables a more effective maneuvering of a trailer towed by a vehicle. It is particularly useful in constraint scenarios such as parking, traffic jam, turns, etc. Traditionally, trailer assist systems are based on image processing methods or require specific sensors to measure the hitch angle. In this paper, we propose to estimate the hitch angle by making use of the existing rear camera of the vehicle and by using an image processing approach, thus avoiding the supplementary angle measurement sensor. To this extent, a dedicated database is collected and annotated. Two different methods are developed to predict this corresponding angle, the first method is based on a convolutional neural network and the second one is a deterministic image processing method. The two approaches are finally compared in terms of accuracy and execution time.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030473","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875488
Simon H. Muchinenyika, Attlee M. Gamundani, Colin Stanley
In a world where Industry 4.0 is the order of the day, businesses endeavour to find ways to harness technology through innovation or duplication of solutions that have been successfully implemented elsewhere. For some resource-constrained entities, innovation is critical to mitigating costs while at the same time digitally transforming their business operations. In this paper, we present a solution that makes smart decisions and alerts stakeholders without having car parking sensors or the need of smartphones for the users. We then compared our solution to alternative designs of smart parking payment solutions with respect to costs, implementation, and viability to users. We are also confident that many local authorities in different countries will be able to implement the proposed solution with much ease or little guidance under the same context.
{"title":"Conceptual Design of a Sensorless Smart Parking Payment Solution","authors":"Simon H. Muchinenyika, Attlee M. Gamundani, Colin Stanley","doi":"10.1109/SETIT54465.2022.9875488","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875488","url":null,"abstract":"In a world where Industry 4.0 is the order of the day, businesses endeavour to find ways to harness technology through innovation or duplication of solutions that have been successfully implemented elsewhere. For some resource-constrained entities, innovation is critical to mitigating costs while at the same time digitally transforming their business operations. In this paper, we present a solution that makes smart decisions and alerts stakeholders without having car parking sensors or the need of smartphones for the users. We then compared our solution to alternative designs of smart parking payment solutions with respect to costs, implementation, and viability to users. We are also confident that many local authorities in different countries will be able to implement the proposed solution with much ease or little guidance under the same context.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134049692","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875798
I. Werda, Amna Maraoui, F. Sayadi, N. Masmoudi
The high-efficiency video coding (HEVC) standard adopts an exhaustive decision algorithm based on a recursive standardized quad-tree coding unit, a prediction unit, and a transform unit. Consequently, it is possible to achieve substantial coding performance. Nevertheless, a significant computational complexity is generated. This paper’s goal is to reduce HEVC intra coding process computational complexity when designing a fast CU partition module based on the Support Vector Machine (SVM) approach and a Gradient-based fast intra-prediction mode module. Experiment results show that the proposed algorithm saves 50.97% of encoding time while increasing compression efficiency by 0.90%.
高效视频编码(high-efficiency video coding, HEVC)标准采用了一种基于递归标准化四叉树编码单元、预测单元和变换单元的穷举决策算法。因此，有可能实现实质性的编码性能。然而，产生了显著的计算复杂性。为了降低HEVC编码过程的计算复杂度，本文设计了基于支持向量机(SVM)方法的快速CU划分模块和基于梯度的快速内预测模式模块。实验结果表明，该算法节省了50.97%的编码时间，压缩效率提高了0.90%。
{"title":"Fast CU partition and intra mode prediction method for HEVC","authors":"I. Werda, Amna Maraoui, F. Sayadi, N. Masmoudi","doi":"10.1109/SETIT54465.2022.9875798","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875798","url":null,"abstract":"The high-efficiency video coding (HEVC) standard adopts an exhaustive decision algorithm based on a recursive standardized quad-tree coding unit, a prediction unit, and a transform unit. Consequently, it is possible to achieve substantial coding performance. Nevertheless, a significant computational complexity is generated. This paper’s goal is to reduce HEVC intra coding process computational complexity when designing a fast CU partition module based on the Support Vector Machine (SVM) approach and a Gradient-based fast intra-prediction mode module. Experiment results show that the proposed algorithm saves 50.97% of encoding time while increasing compression efficiency by 0.90%.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131785856","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875865
Intidhar Essefi, H. Boussi Rahmouni, T. Solomonides, Mohamed Fethi Ladeb
The digital transformation of healthcare processes is deeply changing the quality of healthcare services offered to the patient. Although it is often seen as highly beneficial, the move to digital connected health systems exposes both health providers and individuals to many risks ranging from privacy violations to medical identity usurpation Throughout this process of digitisation, it is essential that privacy protection and systemic compliance to personal data regulations such as HIPAA and GDPR are ensured by all healthcare stakeholders. This is essential to setup the boundaries and limitation imposed by the legislative framework with relation to the legitimate processing of sensitive data. In this paper, we are aiming to represent privacy and security controls as tags/labels to data elements highlighted in clinical processes and their automation as privacy protection filters to the data at user interface layers of the healthcare information system. As a data model we rely on the HL7-CDA standard for medical documents architecture thanks to its seamless and extensible data integration capabilities while exchanging EHR data.
{"title":"HIPAA Controlled Patient Information Exchange and Traceability in Clinical Processes","authors":"Intidhar Essefi, H. Boussi Rahmouni, T. Solomonides, Mohamed Fethi Ladeb","doi":"10.1109/SETIT54465.2022.9875865","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875865","url":null,"abstract":"The digital transformation of healthcare processes is deeply changing the quality of healthcare services offered to the patient. Although it is often seen as highly beneficial, the move to digital connected health systems exposes both health providers and individuals to many risks ranging from privacy violations to medical identity usurpation Throughout this process of digitisation, it is essential that privacy protection and systemic compliance to personal data regulations such as HIPAA and GDPR are ensured by all healthcare stakeholders. This is essential to setup the boundaries and limitation imposed by the legislative framework with relation to the legitimate processing of sensitive data. In this paper, we are aiming to represent privacy and security controls as tags/labels to data elements highlighted in clinical processes and their automation as privacy protection filters to the data at user interface layers of the healthcare information system. As a data model we rely on the HL7-CDA standard for medical documents architecture thanks to its seamless and extensible data integration capabilities while exchanging EHR data.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122424047","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875512
A. A. Rasheed, Khalil H. Sayidmarie
The nanoantennas have the distinctive ability to confine the harvested light into subwavelength dimensions by enhancing the electric field by virtue of localized surface plasmon resonance (LSPR). This work focuses on enhancing the localized field or shifting the resonance wavelength by optimizing the shape and size of the nanoantenna. The absorption and scattering properties of a bowtie nanoantenna (BNA) are enhanced by incorporating a hollow region into the parent bowtie nanoantenna. The proposed geometry of the hollow bowtie nanoantenna (HBNA) can significantly enhance the absorption and inhibit the scattering together, where the optimum operating condition can be realized by the optical gain efficient use. In the solid bowtie nanoantenna, the scattering cross-section (SCS) is more dominant (86%) than the absorption cross-section (ACS) (14%). In the proposed hollow bowtie structure, the scattered coupled power declined to 45% while the other 55% is absorbed. This design has the ability to produce the optimum plasmonic localized field enhancement in the gap of the BNA, and another design showed insensitivity to the polarization. These features can be exploited in a wide scope of applications.
{"title":"Absorption enhancement and scattering inhibition for Bowtie Nanoantenna","authors":"A. A. Rasheed, Khalil H. Sayidmarie","doi":"10.1109/SETIT54465.2022.9875512","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875512","url":null,"abstract":"The nanoantennas have the distinctive ability to confine the harvested light into subwavelength dimensions by enhancing the electric field by virtue of localized surface plasmon resonance (LSPR). This work focuses on enhancing the localized field or shifting the resonance wavelength by optimizing the shape and size of the nanoantenna. The absorption and scattering properties of a bowtie nanoantenna (BNA) are enhanced by incorporating a hollow region into the parent bowtie nanoantenna. The proposed geometry of the hollow bowtie nanoantenna (HBNA) can significantly enhance the absorption and inhibit the scattering together, where the optimum operating condition can be realized by the optical gain efficient use. In the solid bowtie nanoantenna, the scattering cross-section (SCS) is more dominant (86%) than the absorption cross-section (ACS) (14%). In the proposed hollow bowtie structure, the scattered coupled power declined to 45% while the other 55% is absorbed. This design has the ability to produce the optimum plasmonic localized field enhancement in the gap of the BNA, and another design showed insensitivity to the polarization. These features can be exploited in a wide scope of applications.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233805","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 : 2022-05-28DOI: 10.1109/SETIT54465.2022.9875769
S. Elmadssia, Wafa Dkhaila, Mohamed Hechmi Jeridi, T. Ezzedine
The coordinated motion of multi-agent oscillatory systems (MAOSs) synchronization is an important example of networked control systems. This document solves the consensus problem of MAOSs by utilizing a new type of controller. We first introduce a consensus-achieving mechanism protocol employed in the MAOS. Then, by using the D− decomposition and τ− decomposition methods together we present an explicit formula to obtain the controller parameters. In addition, a special case of MAOS is considered and precise conditions of consensus are provided. For this case, easier consensus conditions are offered.
{"title":"Distributed Consensus Control for Multi-Agent Oscillatory Systems","authors":"S. Elmadssia, Wafa Dkhaila, Mohamed Hechmi Jeridi, T. Ezzedine","doi":"10.1109/SETIT54465.2022.9875769","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875769","url":null,"abstract":"The coordinated motion of multi-agent oscillatory systems (MAOSs) synchronization is an important example of networked control systems. This document solves the consensus problem of MAOSs by utilizing a new type of controller. We first introduce a consensus-achieving mechanism protocol employed in the MAOS. Then, by using the D− decomposition and τ− decomposition methods together we present an explicit formula to obtain the controller parameters. In addition, a special case of MAOS is considered and precise conditions of consensus are provided. For this case, easier consensus conditions are offered.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114733551","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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