Tarek Bouzid, Noureddine Chaib, Mohamed Lahcen Bensaad, A. Kouzou
{"title":"UAV-Based Network Slicing: Background and State-of-the-Art","authors":"Tarek Bouzid, Noureddine Chaib, Mohamed Lahcen Bensaad, A. Kouzou","doi":"10.1109/IC_ASET58101.2023.10150577","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150577","url":null,"abstract":"Due to the always increasing number of cellular networking users, 5G promised to support the numerous users and and their expectations. 5G envisioned to be a heterogeneous network, aimed to serve a multitude of users with different, and conflicting demands and priorities. These users range from humans and their mobile devices, to Unmanned Aerial Vehicles (UAVs), Internet of Things (IoT) devices, vehicles, and more. The 5G cellular network promises major enhancements over the previous generations and is already being deployed on a large scale. Network slicing emerged as one of the main features of 5G next to other novel technologies like Network Function Virtualization (NFV) and Software-Defined Networking (SDN). Network slicing assists the network in achieving higher throughput, lower latency, and more resource efficiency. There are three major network slices introduced to target each use case. The network slices are Ultra Reliable, Low Latency Communications (URLLC), enhanced Mobile BroadBand (eMBB), and massive Machine- Type Communications (mMTC). Meanwhile, drones have also shown great potential in a multitude of fields, gaining notable research interest lately. Indeed, 5G is being widely adopted, which allowed drones to make use of the capabilities offered by the new cellular network. Therefore, this work explores network slicing and highlights its potential in conjunction with drones. Moreover, this survey covers recent advances in UAVs, network slicing and 5G networks. This work presents brief definitions on 5G, network slicing, and drones. This paper also presents novel contributions to drones in the context of network slicing. Finally, some open issues are presented before concluding the paper.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"487 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116974093","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":"Robust Time-delayed Control of Nonlinear Discrete-time Systems","authors":"Salvatore Pedone, Maja Trumić, A. Fagiolini","doi":"10.1109/IC_ASET58101.2023.10150735","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150735","url":null,"abstract":"With the mass production of robotic systems and an emerging new generation of collaborative robots, the requirements are increasing for robust and efficient control strategies, that can successfully deal with disturbances. This paper proposes a robust and time-delayed control formulated for discrete-time systems, leaning on the theory of Luenberger observers and disturbance-observer-based strategies. The bounded convergence both of the proposed estimator and the tracking error to are proved analytically. Validation is performed in the simulation on a single-link robot manipulator in the presence of structural and significant parametric uncertainty.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133396844","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":"Lower Limb Exoskeletons for Pediatric Gait Rehabilitation: A Brief Review of Design, Actuation, and Control Schemes","authors":"Jyotindra Narayan, S. K. Dwivedy","doi":"10.1109/IC_ASET58101.2023.10150700","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150700","url":null,"abstract":"Neurological disorders such as Cerebral Palsy (CP) and spinal cord injury (SCI) adversely affect the lower-body movement of the pediatric population. Such movements can be improved by carrying out rehabilitation measures using exoskeleton technology. Although several lower-limb exoskeleton systems have been developed; however, most are for elderly people rather than children. Moreover, there is minimal literature available on existing pediatric gait exoskeleton systems. This work systematically reviews the design, actuation, and control of different exoskeleton systems for pediatric gait rehabilitation to address the literature gap. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement is provided to show the inclusion and exclusion criteria of related publications from the literature. Thereafter, design aspects (namely assist joint, active DOFs, weight), actuation methods (namely type, minimum torque/force), and control schemes (namely supervisory level, high-level and low-level) are presented for each exoskeleton. A generalized dynamic formulation for the design of such exoskeletons is given in design passive-assist and active-assist modes. Finally, a few major concerns hindering the development of pediatric exoskeletons are discussed.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491354","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}
N. A. Shashoa, A. Abougarair, Weiam Ali Saheri, Munya Ali Arwin
{"title":"Feature Extraction for Fault Diagnosis Based on Recursive Generalized Extended Least Squares Algorithm","authors":"N. A. Shashoa, A. Abougarair, Weiam Ali Saheri, Munya Ali Arwin","doi":"10.1109/IC_ASET58101.2023.10150709","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150709","url":null,"abstract":"this paper presents feature selection for fault diagnosis based on recursive generalized extended least squares algorithm (RGELS). RGELS model is derived and validation of this model is tested utilizing good statistical methods, which, namely best-fit criterion. The system parameters are estimated employing the proposed algorithm. Dimension reduction of the system parameters is done to get best important features using linear discriminant analysis. Finally, the simulation results confirm the effectiveness of the algorithm.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129422179","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}
Noura Ben Henda, Amina Msolli, Imen Hagui, A. Helali, H. Maaref, R. Mghaieth
{"title":"A Novel SVM Based CFS for Intrusion Detection in IoT Network","authors":"Noura Ben Henda, Amina Msolli, Imen Hagui, A. Helali, H. Maaref, R. Mghaieth","doi":"10.1109/IC_ASET58101.2023.10150979","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150979","url":null,"abstract":"Due to the rapid growth of technologies, the internet of things become an important research topic, which can ensure collecting and transferring data over the network between connected objects without any human intervention. However, these connected objects are generally constrained by energy consumption and data security in terms of confidentiality, integrity and availability against attackers. This paper presents a solution for this problem, in this content, we propose an intelligent host-based intrusion detection system using machine learning. our approache based on Support vector machine (SVM) is implemented, we used correlation-based feature selection (CFS) technique to detect the pertinent features in the NSL-KDD dataset. The experimental results show that our approach has an accuracy as 99.09% in binary classification and 99.11% in multiclass classification which are performed better than most of previous approaches.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122459427","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":"Exploring the Reactions of Early Users of ChatGPT to the Tool using Twitter Data: Sentiment and Topic Analyses","authors":"Achraf Tounsi, Safa Elkefi, Safa Layeb Bhar","doi":"10.1109/IC_ASET58101.2023.10150870","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150870","url":null,"abstract":"Recently, large language models have gained considerable interest due to their impressive performance on different tasks. OpenAl's ChatGPT is a revolutionary language model that has quickly become popular among early adopters. Many users have gone so far as to call it a disruptive technology in many different domains. Its large, pre-trained model provides powerful capabilities already being applied to various use cases. Gaining an understanding of the thoughts and feelings of those who are quick to embrace new technologies is essential, as it can offer valuable insights into the technology's potential successes, failures, and other characteristics. In this paper, a mixed-method study was developed using 463,983 tweets from early ChatGPT users. We first apply topic modeling to identify the maj or topics and then conduct an extensive qualitative sentiment analysis. We observed that most people were pleased with the tool, but some expressed apprehension about its potential ethical and legal implications. After its launch, however, the fears were largely alleviated as people began to use it and recognize its benefits for personal and business purposes. It is important to be aware of any new technology's possible drawbacks and use it responsibly.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128154937","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":"Investigation of the Compass Biped Walker's Passive Dynamics and Trajectory Tracking Method for Chaos Control","authors":"Essia Added, H. Gritli, S. Belghith","doi":"10.1109/IC_ASET58101.2023.10150584","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150584","url":null,"abstract":"The aim of this research is to manage the precise and rhythmic movements of a bipedal robot with a compass configuration as it undergoes a passive dynamic walk. To approximate the walking pattern of a biped robot, we implement an impulsive hybrid nonlinear system. To start with, we showcase the fact that a passive walk by a bipedal compass robot can exhibit unexpected behaviors like bifurcations and chaos with the aid of bifurcation diagrams. In order to suppress such complex nonlinear tendencies, we resort to two methods for regulating the bipedal compass-type robot and achieving a one-periodic gait. The control approach used in this study is based on the passive dynamic walking of the biped robot, and the objective is to follow the trajectory of the period-1 passive movement during the swing phase.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398070","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}
H. K. Shaker, H. Keshta, Magdi A. Mosa, Ahmed A. Ali
{"title":"Improving the Voltage Response of Grid Connected Three Inter-Connected Microgrids Using Artificial Intelligence Based Controllers","authors":"H. K. Shaker, H. Keshta, Magdi A. Mosa, Ahmed A. Ali","doi":"10.1109/IC_ASET58101.2023.10150920","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150920","url":null,"abstract":"Integrating microgrids (MGs) within the power has increased significantly to increase the reliability and improve the efficiency of the main grid. M Gs should be fitted with efficient controllers to provide high power quality and keep system stability when subjected to various disturbances. This paper investigates the dynamic performance enhancement of three interconnected M Gs connected to the utility grid. The most common controllers in M G applications are conventional linear controllers like PI and droop controllers that may provide undesired response under disturbances, which the micro-grids are subjected. Hence, a non-linear adaptive controller, fuzzy PI controller-based model reference adaptive control (FPI-MRAC), that can adapt to the various operating conditions is suggested in this paper for regulating the system voltage, and its performance is evaluated and compared with the traditional PI controller. The system under study is subjected to a variety of scenarios to assess the efficacy of the proposed controller, FPI-MRAC, during severe conditions. Simulation results demonstrate that FPI-MRAC is more effective than PI controller in keeping the system voltage at the desired value for various operating scenarios. Also, an advanced optimization technique, coronavirus herd immunity optimizer (CHID), is utilized to tune the proposed controllers.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128453935","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 a Sensorless Rotor Flux Oriented Vector Control Technique Based on MRAS Speed Observer for an Induction Machine","authors":"Rakia Tarkhani, Saber Krim, M. Mimouni","doi":"10.1109/IC_ASET58101.2023.10151242","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151242","url":null,"abstract":"This paper proposes a design and hardware implementation with a Field Programmable Gate Array (FPGA) of a Sensorless Rotor Flux Oriented Vector Control (SRFOVC) strategy based on a Model Reference Adaptive System (MRAS) observer for an induction motor drive fed by a voltage source inverter. The MRAS observer is suggested for real-time estimation of the rotor speed. Indeed, the first goal of this work is to provide an MRAS speed observer in order to increase the control system reliability, reduce the maintenance rate and the control system cost. The second goal consists of implementing the suggested SRFOVC-MRAS algorithm on an FPGA board. Actually, the FPGA board is chosen for reducing the system sampling period, taking the hardware FPGA advantages in terms of parallel processing. The model of the suggested SRFOVC-MRAS is designed and simulated with the Xilinx system generator tool in a Matlab/Simulink environment and implemented on a Xilinx FPGA-Zynq 7000-board.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121447566","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":"Digital Control of an Isolated Dual Half Bridge Converter","authors":"Mehdi Allagui, M. Abbes","doi":"10.1109/IC_ASET58101.2023.10151030","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151030","url":null,"abstract":"Dual Half Bridge (DHB) converter offers bidirectional power flow and galvanic isolation between the primary and the secondary sides. It can be used in different applications requiring level conversion of DC voltage such DC micro-grids, electric vehicles and uninterrupted power supplies. In most case, the two legs of this converter are controlled with a 50% duty cycle. The voltage ratio between the primary and the secondary sides is imposed by the phase-shift between the gate signals of high-side transistors. Different hardware solutions can be found in literature for controlling the phase-shift. This paper proposes a simple control method for controlling the voltage level at the output of the DHB converter. A fully-digital solution is proposed for phase shift generation without additional external circuitry. The operating principles and design considerations are presented in the first part of the paper. Then, the proposed method for phase shift generation is discussed. The validity of this method is verified through experimental implementation on a low cost microcontroller.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114391327","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}