Pub Date : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765896
Ines Mahmoud, Imen Saidi
In this paper, the problem of rehabilitation of the upper limb using exoskeletons has been addressed. More specifically, we have proposed a command specifically dedicated to these robotic structures to take advantage of their capacity for interaction at the articular level of the human limb. The robust control proposed is quite simple in principle. But we have seen that the dynamic modeling of the upper limb exoskeleton is strongly nonlinear. It is therefore necessary to implement specific techniques for calculating compatible trajectories to achieve this end. The nominal adaptive control showed the efficiency and robustness in closed loop.
{"title":"Trajectory Tracking Control of Upper-Limb Rehabilitaion Exoskeleton Based on Robust Control","authors":"Ines Mahmoud, Imen Saidi","doi":"10.1109/IC_ASET53395.2022.9765896","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765896","url":null,"abstract":"In this paper, the problem of rehabilitation of the upper limb using exoskeletons has been addressed. More specifically, we have proposed a command specifically dedicated to these robotic structures to take advantage of their capacity for interaction at the articular level of the human limb. The robust control proposed is quite simple in principle. But we have seen that the dynamic modeling of the upper limb exoskeleton is strongly nonlinear. It is therefore necessary to implement specific techniques for calculating compatible trajectories to achieve this end. The nominal adaptive control showed the efficiency and robustness in closed loop.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"82 1","pages":"330-335"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84389909","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_ASET53395.2022.9765926
Helmi Abrougui, S. Nejim, Anis Charrada, Habib Dallagi
This paper proposes an approach for modeling and controlling the attitude of a hexacopter. An autopilot is designed using sliding mode control. It consists of a low-level controller for attitude stabilization and a high-level controller for position tracking control. Simulations are carried out to show the effectiveness of the designed autopilot.
{"title":"Sliding Mode Control for Hexacopter Autopilot design","authors":"Helmi Abrougui, S. Nejim, Anis Charrada, Habib Dallagi","doi":"10.1109/IC_ASET53395.2022.9765926","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765926","url":null,"abstract":"This paper proposes an approach for modeling and controlling the attitude of a hexacopter. An autopilot is designed using sliding mode control. It consists of a low-level controller for attitude stabilization and a high-level controller for position tracking control. Simulations are carried out to show the effectiveness of the designed autopilot.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"44 1","pages":"445-449"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84576270","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_ASET53395.2022.9765901
Amal Hkiri, Mouna Karmani, Mohsen Machhout
Routing protocol for low power and lossy networks (RPL) is the underlying routing protocol of 6LoWPAN, a core communication standard for the Internet of Things. In terms of quality of service (QoS), device management, and energy efficiency, RPL beats competing wireless sensor and ad hoc routing protocols. However, several attacks could threaten the network due to the problem of unauthenticated or unencrypted control frames, centralized root controllers, compromised or unauthenticated devices. Thus, in this paper, we aim to investigate the effect of topology and Resources attacks on RPL.s efficiency. The Hello Flooding attack, Increase Number attack and Decrease Rank attack are the three forms of Resources attacks and Topology attacks respectively chosen to work on. The simulations were done to understand the impact of the three different attacks on RPL performances metrics including End-to-End Delay (E2ED), throughput, Packet Delivery Ratio (PDR) and average power consumption. The findings show that the three attacks increased the E2ED, decreased the PDR and the network throughput, and degrades the network’, which further raises the power consumption of the network nodes.
{"title":"The Routing Protocol for low power and lossy networks (RPL) under Attack: Simulation and Analysis","authors":"Amal Hkiri, Mouna Karmani, Mohsen Machhout","doi":"10.1109/IC_ASET53395.2022.9765901","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765901","url":null,"abstract":"Routing protocol for low power and lossy networks (RPL) is the underlying routing protocol of 6LoWPAN, a core communication standard for the Internet of Things. In terms of quality of service (QoS), device management, and energy efficiency, RPL beats competing wireless sensor and ad hoc routing protocols. However, several attacks could threaten the network due to the problem of unauthenticated or unencrypted control frames, centralized root controllers, compromised or unauthenticated devices. Thus, in this paper, we aim to investigate the effect of topology and Resources attacks on RPL.s efficiency. The Hello Flooding attack, Increase Number attack and Decrease Rank attack are the three forms of Resources attacks and Topology attacks respectively chosen to work on. The simulations were done to understand the impact of the three different attacks on RPL performances metrics including End-to-End Delay (E2ED), throughput, Packet Delivery Ratio (PDR) and average power consumption. The findings show that the three attacks increased the E2ED, decreased the PDR and the network throughput, and degrades the network’, which further raises the power consumption of the network nodes.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"17 1","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87292495","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_ASET53395.2022.9765923
B. Tej, Farah Nasri, A. Mtibaa
Agriculture industry assumes a big role in several countries’ economies by offering a few advantages including food, national income, and employment opportunities. However, it confronts a major challenge which is plant disease. Around 42% of the world’s total crops are destroyed yearly by diseases. So, the identification of plant disease in an earlier stage is critical for minimizing the use of pesticides and reducing crop loss. This research is focusing on the recognition and classification of various tomato and pepper diseases based on Deep learning techniques. Two Convolutional neural networks (CNN) models Resnet 152 and Resnet 50 are used with and without data augmentation. This technique is used when the datasets are small, it expands the number of training images without adding new images. A self-dataset of 488 images of tomato and pepper diseases leaves are collected in Monastir, Tunisia region under the supervision of an agricultural engineer working in the field of plant protection in the Minister of Agriculture. The trained model with data augmentation gives better results than without applying it.
{"title":"Detection of Pepper and Tomato leaf diseases using deep learning techniques","authors":"B. Tej, Farah Nasri, A. Mtibaa","doi":"10.1109/IC_ASET53395.2022.9765923","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765923","url":null,"abstract":"Agriculture industry assumes a big role in several countries’ economies by offering a few advantages including food, national income, and employment opportunities. However, it confronts a major challenge which is plant disease. Around 42% of the world’s total crops are destroyed yearly by diseases. So, the identification of plant disease in an earlier stage is critical for minimizing the use of pesticides and reducing crop loss. This research is focusing on the recognition and classification of various tomato and pepper diseases based on Deep learning techniques. Two Convolutional neural networks (CNN) models Resnet 152 and Resnet 50 are used with and without data augmentation. This technique is used when the datasets are small, it expands the number of training images without adding new images. A self-dataset of 488 images of tomato and pepper diseases leaves are collected in Monastir, Tunisia region under the supervision of an agricultural engineer working in the field of plant protection in the Minister of Agriculture. The trained model with data augmentation gives better results than without applying it.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"149-154"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89364276","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_ASET53395.2022.9765893
Dorsaf Etlili, Atef Khedher, A. Errachdi
This paper proposes a sliding mode observer for nonlinear fractional order systems. The proposed observer based on the Caputo derivative investigates the estimation problem of nonlinear chaotic dynamical systems fractional order. The comparison with order integer shows that this approach maintains the convergence of estimation errors to equilibrium point using the Mittag Leffler and Lyapunov stability.
{"title":"Sliding mode observer for fractional order nonlinear dynamical systems","authors":"Dorsaf Etlili, Atef Khedher, A. Errachdi","doi":"10.1109/IC_ASET53395.2022.9765893","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765893","url":null,"abstract":"This paper proposes a sliding mode observer for nonlinear fractional order systems. The proposed observer based on the Caputo derivative investigates the estimation problem of nonlinear chaotic dynamical systems fractional order. The comparison with order integer shows that this approach maintains the convergence of estimation errors to equilibrium point using the Mittag Leffler and Lyapunov stability.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"12 1","pages":"103-108"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80723591","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_ASET53395.2022.9765918
Safa Mrad, S. Hamouda
Thanks to many techniques brought by 5G, operators are now able to control and avoid congestion in the backhaul networks. For instance, efficient content placement strategy can mitigate the content download delay. Motivated by this hot-topic, we investigate in this paper proactive delay-aware edge caching problem in Cloud Radio Access Network (C-RAN). We introduce a new approach based on Queuing Theory to reduce the average content end-to-end delay in the network. Traffic at the Base Band Unit (BBU) as well as at the Radio Remote Head (RRH) are modeled as M/M/1/ queues. Then, the impact of the arrival rate, cache size and popularity distribution parameter on the average delivery delay is studied. This approach will consequently help set a new strategy of proactive content placement. Simulation results showed that our proposed content placement strategy outperforms common placement strategies.
由于5G带来的许多技术，运营商现在能够控制和避免回程网络的拥塞。例如，有效的内容放置策略可以减轻内容下载延迟。基于这一热点问题，本文研究了云无线接入网(C-RAN)中的主动延迟感知边缘缓存问题。本文提出了一种基于排队理论的网络内容端到端平均时延降低方法。BBU (Base Band Unit)和RRH (Radio Remote Head)上的流量建模为M/M/1/队列。然后，研究了到达率、缓存大小和流行度分布参数对平均投递延迟的影响。因此，这种方法将有助于设置主动内容放置的新策略。仿真结果表明，本文提出的内容放置策略优于一般的内容放置策略。
{"title":"Proactive Caching Placement Strategy with End-to-end Delay Reduction in C-RAN Using Queuing Theory","authors":"Safa Mrad, S. Hamouda","doi":"10.1109/IC_ASET53395.2022.9765918","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765918","url":null,"abstract":"Thanks to many techniques brought by 5G, operators are now able to control and avoid congestion in the backhaul networks. For instance, efficient content placement strategy can mitigate the content download delay. Motivated by this hot-topic, we investigate in this paper proactive delay-aware edge caching problem in Cloud Radio Access Network (C-RAN). We introduce a new approach based on Queuing Theory to reduce the average content end-to-end delay in the network. Traffic at the Base Band Unit (BBU) as well as at the Radio Remote Head (RRH) are modeled as M/M/1/ queues. Then, the impact of the arrival rate, cache size and popularity distribution parameter on the average delivery delay is studied. This approach will consequently help set a new strategy of proactive content placement. Simulation results showed that our proposed content placement strategy outperforms common placement strategies.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"155 1","pages":"91-96"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75164055","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}
Effective energy management is the key for sustainable future. Optimizing energy consumption in commercial buildings plays a major role in reducing overall carbon footprint and operations cost. Heating, Ventilation, and Air Conditioning (HVAC) systems contribute to about 40%-50% of the total electricity consumption in a commercial buildings, placing an economic burden on building operations. Optimal management of HVAC systems is challenging due to the non-linear nature of the control problem arising out of several stochastic internal and external factors or disturbances. Conventional HVAC systems are controlled via PID controllers. Recently, a growing interest has been observed in Artificial Intelligence based HVAC control systems to improve comfort conditions while avoiding unnecessary energy consumption. In this paper, we explore the applications of an actor-critic based model free deep reinforcement learning to control the temperature of a room serving an office building. The RL control strategy is compared with the conventional PID controller, which goes out of tune during dynamic thermal load. Further, we explore the factors that affect the performance of the actor-critic based RL controller.
{"title":"Actor-Critic based Adaptive Control Strategy for Effective Energy Management","authors":"Chandramouli Sankaranarayanan, Sreenath Shaju, Mohak Sukhwani","doi":"10.1109/IC_ASET53395.2022.9765869","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765869","url":null,"abstract":"Effective energy management is the key for sustainable future. Optimizing energy consumption in commercial buildings plays a major role in reducing overall carbon footprint and operations cost. Heating, Ventilation, and Air Conditioning (HVAC) systems contribute to about 40%-50% of the total electricity consumption in a commercial buildings, placing an economic burden on building operations. Optimal management of HVAC systems is challenging due to the non-linear nature of the control problem arising out of several stochastic internal and external factors or disturbances. Conventional HVAC systems are controlled via PID controllers. Recently, a growing interest has been observed in Artificial Intelligence based HVAC control systems to improve comfort conditions while avoiding unnecessary energy consumption. In this paper, we explore the applications of an actor-critic based model free deep reinforcement learning to control the temperature of a room serving an office building. The RL control strategy is compared with the conventional PID controller, which goes out of tune during dynamic thermal load. Further, we explore the factors that affect the performance of the actor-critic based RL controller.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"23-28"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76203834","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_ASET53395.2022.9765935
Mahdi Hermassi, Saber Krim, Y. Krim, Mohamed Ali Hajjaji, A. Mtibaa, M. Mimouni
This paper proposes a Xilinx Zynq-FPGA (Field Programmable Gate Array) for real time hardware implementation of a vector control strategy for a grid-connected variable-speed wind energy conversion system. In order to overcome the problem of important computation time and the control loop delay due to the sequential processing of the control algorithm for wind generator, a Xilinx Zynq-FPGA is proposed as an alternative solution, thanks to its parallel processing. In fact, the Xilinx Zynq-FPGA is characterized by a hardware architecture with parallel computation. Indeed, the FPGA technology has great advantages like the programmable wired function, the fast computing capability, the shorter design cycle, the integrated processor, the low power consumption and the higher density. The studied system is composed of a wind turbine, a permanent magnet synchronous generator, and two converters (a rectifier and an inverter) linked by a DC bus. The system is connected to the grid through a resistor–inductor filter. The proposed control strategy performances are evaluated by digital simulation utilizing an Xilinx System Generator (XSG) toolbox that guaranties rapid and efficient prototyping of the implemented architecture on the FPGA device. In fact, the hardware architectures of the rectifier vector control and the inverter vector control are designed using the XSG tool. The obtained results demonstrate that the XSG simulation offers better results in terms of tracking and accuracy.
本文提出了一种Xilinx Zynq-FPGA(现场可编程门阵列)，用于并网变速风能转换系统矢量控制策略的实时硬件实现。为了克服风力发电机控制算法顺序处理带来的重要计算时间和控制环路延迟问题，提出了一种Xilinx Zynq-FPGA，该fpga具有并行处理的特点。实际上，Xilinx Zynq-FPGA的特点是具有并行计算的硬件架构。的确，FPGA技术具有可编程有线功能、快速计算能力、设计周期短、集成处理器、低功耗和高密度等优点。所研究的系统由一个风力发电机、一个永磁同步发电机和两个变流器(一个整流器和一个逆变器)组成，通过直流母线连接。该系统通过一个电阻-电感滤波器与电网相连。利用Xilinx System Generator (XSG)工具箱对所提出的控制策略性能进行了数字仿真评估，以保证在FPGA器件上快速高效地实现所实现架构的原型。实际上，整流矢量控制和逆变矢量控制的硬件架构都是使用XSG工具设计的。实验结果表明，XSG仿真在跟踪和精度方面具有较好的效果。
{"title":"Xilinx-FPGA for Real-Time Implementation of Vector Control Strategies for a Grid-Connected Variable-Speed Wind Energy Conversion System","authors":"Mahdi Hermassi, Saber Krim, Y. Krim, Mohamed Ali Hajjaji, A. Mtibaa, M. Mimouni","doi":"10.1109/IC_ASET53395.2022.9765935","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765935","url":null,"abstract":"This paper proposes a Xilinx Zynq-FPGA (Field Programmable Gate Array) for real time hardware implementation of a vector control strategy for a grid-connected variable-speed wind energy conversion system. In order to overcome the problem of important computation time and the control loop delay due to the sequential processing of the control algorithm for wind generator, a Xilinx Zynq-FPGA is proposed as an alternative solution, thanks to its parallel processing. In fact, the Xilinx Zynq-FPGA is characterized by a hardware architecture with parallel computation. Indeed, the FPGA technology has great advantages like the programmable wired function, the fast computing capability, the shorter design cycle, the integrated processor, the low power consumption and the higher density. The studied system is composed of a wind turbine, a permanent magnet synchronous generator, and two converters (a rectifier and an inverter) linked by a DC bus. The system is connected to the grid through a resistor–inductor filter. The proposed control strategy performances are evaluated by digital simulation utilizing an Xilinx System Generator (XSG) toolbox that guaranties rapid and efficient prototyping of the implemented architecture on the FPGA device. In fact, the hardware architectures of the rectifier vector control and the inverter vector control are designed using the XSG tool. The obtained results demonstrate that the XSG simulation offers better results in terms of tracking and accuracy.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"120 1","pages":"49-54"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75790576","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_ASET53395.2022.9765902
Faisal Nawaz, Umar Jamil, M. S. Aziz, R. I. Shakoor
Electrostatic actuators have a significant role in Microelectromechanical Systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system because of maximum displacement and large driving force. The limitation in the use of the trapezoidal-shaped electrostatic actuating system is a pull-in phenomenon because of the angular effect and large driving voltage. In this research work, a trapezoidal-shaped comb-drive actuator with curved flexures is designed and analyzed to minimize driving voltage through the low stiffness of curved beams. With a driving voltage of 36.6V, displacement of 25μm is achieved in this research work. A comparison of these results with published works is also presented and discussed.
{"title":"Design and Analysis of Micro Actuator through Trapezoidal Shaped Electrostatic Comb Drive and Curved Beam System","authors":"Faisal Nawaz, Umar Jamil, M. S. Aziz, R. I. Shakoor","doi":"10.1109/IC_ASET53395.2022.9765902","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765902","url":null,"abstract":"Electrostatic actuators have a significant role in Microelectromechanical Systems (MEMS). Electrostatic comb drive actuator with trapezoidal-shaped geometry is reliable as compared to a rectangular shaped system because of maximum displacement and large driving force. The limitation in the use of the trapezoidal-shaped electrostatic actuating system is a pull-in phenomenon because of the angular effect and large driving voltage. In this research work, a trapezoidal-shaped comb-drive actuator with curved flexures is designed and analyzed to minimize driving voltage through the low stiffness of curved beams. With a driving voltage of 36.6V, displacement of 25μm is achieved in this research work. A comparison of these results with published works is also presented and discussed.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"135 1","pages":"307-312"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80431897","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_ASET53395.2022.9765887
Hamza Ben Abdeljawed, L. Ouni
Smart buildings are a key element on the road to energy transition. Their ecosystem optimizes energy consumption through coordinated, automated and remote control of building equipment. Concurrently, the comeback of DC power, notably through low voltage DC (LVDC) technology is attracting the interest of both researchers and manufacturers in the building sector. This paper reviews the prospects of LVDC in smart buildings and its technological contribution.
{"title":"Review of low voltage DC technology prospects in smart buildings","authors":"Hamza Ben Abdeljawed, L. Ouni","doi":"10.1109/IC_ASET53395.2022.9765887","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765887","url":null,"abstract":"Smart buildings are a key element on the road to energy transition. Their ecosystem optimizes energy consumption through coordinated, automated and remote control of building equipment. Concurrently, the comeback of DC power, notably through low voltage DC (LVDC) technology is attracting the interest of both researchers and manufacturers in the building sector. This paper reviews the prospects of LVDC in smart buildings and its technological contribution.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"295 1","pages":"319-323"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75420935","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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