Fatima Zahra Guerrouj, Mohamed Abouzahir, M. Ramzi, E. Abdali
{"title":"Analysis of the acceleration of deep learning inference models on a heterogeneous architecture based on OpenVINO","authors":"Fatima Zahra Guerrouj, Mohamed Abouzahir, M. Ramzi, E. Abdali","doi":"10.1109/ISAECT53699.2021.9668607","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668607","url":null,"abstract":"Convolutional neural networks (CNN) are a very powerful tool for many different applications. This capability is highly demanded in the field of embedded systems for video surveillance, speech recognition, and image analysis. Due to its high computational intensity, the application of CNN is limited to real-time research areas where computational speed is extremely important. Therefore, an appropriate accelerator is required to fulfill the requirements of these limitations. On the one hand, GPUs are widely used to accelerate the CNN under high power dissipation. On the other hand, the trend for FPGA implementation is increasing rapidly due to its low power consumption and facile re-configurability. In this work, we evaluate the inference performance of 10 classification models and 9 object detection models using the OpenVINO toolkit. In addition, we analyzed the implementation of these models on the DE5a-Net DDR4 equipped with an Arria 10 GX FPGA. The results show that the performance of Full-Precision FP32 classification models on a heterogeneous architecture FPGA/CPU is on average 3.6X faster than the CPU.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124412008","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}
Ahmed Alghuraid, Adel Almalki, Ahmad Alnaim, Ali Almubarak, Sadiq Alhuwaidi, Ahmed A. Hussain, M. Alsubaie
{"title":"Development of Ultra-Wide-Band Indoor Positioning System Designed to Control The Position of a Grid Confined Robotic Platform","authors":"Ahmed Alghuraid, Adel Almalki, Ahmad Alnaim, Ali Almubarak, Sadiq Alhuwaidi, Ahmed A. Hussain, M. Alsubaie","doi":"10.1109/ISAECT53699.2021.9668606","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668606","url":null,"abstract":"The article presents a new approach for the design of an Ultra-wideband (UWB) indoor positioning system (IPS) for position control of a mecanum driven robotic platform. The IPS was constructed using Decawave MDEK1001 development kit. The robotic platform, run by an ATmega2560 microcontroller, achieved an X-Y location accuracy of 7 cm. HC-12 Bluetooth modules were utilized for wireless communication to the microcontroller. A software integration of Tera Term, MATLAB, and Arduino IDE was built to expand the range of hardware and software available to the system. The integration also provides a plug-and-play installation of commercially available UWB modules, allowing for processing and other filtering to occur on MATLAB. Further, the system allows for integration of IoT, multi-robot systems, and different UWB modules in a centralized MATLAB hub.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116960778","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 Sliding Mode Hybrid Controller Against Mechanical Parameter Inaccuracy of a Wind Energy Conversion System Based on a Doubly-Fed Inductance Generator","authors":"Nabil Dahri, M. Ouassaid, D. Yousfi","doi":"10.1109/ISAECT53699.2021.9668361","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668361","url":null,"abstract":"To ensure maximum efficiency and better reliability of the wind energy conversion systems (WECS), the development of robust controllers is crucial. In this paper, a robust Sliding Mode Hybrid Controller (SMHC) is adopted to overcome uncertain mechanical parameters' values used in the system's model. The WECS studied is based on a Doubly-Fed Induction Generator (DFIG). To verify the efficacy of the SMHC, a comparison with Fuzzy Hybrid and classical PI controllers has been carried out. The proposed controller demonstrates a faster response with a low settling time along with negligible overshoot despite the system's large mechanical uncertainties.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125876641","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":"Improvement of Energy Consumption of an Electric Bus with Loss Minimization","authors":"M. Novak, J. Novak","doi":"10.1109/ISAECT53699.2021.9668558","DOIUrl":"https://doi.org/10.1109/ISAECT53699.2021.9668558","url":null,"abstract":"This paper presents calculation and experimental results for two different Permanent Magnet Synchronous Machines (PMSM) used in a drive train of an electric bus. It focuses on the calculation of energy consumption and shows improvements in efficiency and lower energy consumption when the control algorithm is optimized with respect to loss minimization. Two PMSM's are used in this paper, one with Pn = 100kW, nn = 5000 min-1 with dominant (large) copper loss, the other PMSM with Pn = 162kW, nn = 1684 min-1 with dominant iron loss and small copper loss. The first PMSM was used to validate experimentally the presented PMSM model. The calculation results show that when the PMSM parameters are suitable for loss minimization, an improvement in the order of few percent (up to 10 percent in this case) can be expected. On the other, when the PMSM has unsuitable parameters for loss minimization, as it is the case for the first motor, the effect of loss minimization is negligible.","PeriodicalId":137636,"journal":{"name":"2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116730072","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}