Amr Mohammaden, Mohamed S. Ghoneim, Rana Hesham, A. Soltan
{"title":"Current-Mode Multiplier Accumulator Design using a Memristor-Transistor Crossbar Architecture","authors":"Amr Mohammaden, Mohamed S. Ghoneim, Rana Hesham, A. Soltan","doi":"10.1109/NILES53778.2021.9600483","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600483","url":null,"abstract":"This paper discusses the implementation of a Multiplier Accumulator (MAC) design using memristor and crossbar architecture. MAC consists of an array of memristors alongside transistors making a cell that works as a switch (i.e., turned ON or OFF). When a cell is selected, it adds the current in the array path, followed by a current mirror circuit amplified to determine the accumulated current. A traditional MAC is also implemented to compare it with the proposed MAC. The proposed MAC consumed power of 3.9μW, while the traditional MAC consumed power of 19μW. The delay of the proposed MAC is 1.067ns while that of the traditional MAC is 4.627ns. A comparative study between the proposed and traditional MAC with other works shows our design gives better results in delay and power with a very significant difference.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122557661","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}
S. I. Farghaly, Hussein E. Seleem, A. Hussein, Mustafa M. Abdelnaby
{"title":"Enhancement of Spectral and Energy efficiencies of MU-Massive MIMO Systems Employing one-bit A/Ds at Millimeter Waves","authors":"S. I. Farghaly, Hussein E. Seleem, A. Hussein, Mustafa M. Abdelnaby","doi":"10.1109/NILES53778.2021.9600523","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600523","url":null,"abstract":"The energy efficiency (EE) is defined as the ratio of spectral efficiency (SE) to power consumption (PC). Therefore, to enhance the EE of the millimeter wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems, the SE must be enhanced or the resolution bits of analogue to digital converters (A/Ds) and digital to analogue converters (D/As) must be reduced. However, reducing the resolution bits leads to SE degradation, it also reduces the PC and increases the quantization noise. To tackle this challenge, we introduce a hybrid precoding and beamforming structure (HP-BF) while using one-bit A/Ds at transceivers for multi-user (MU) massive MIMO systems. The proposed HP-BF mitigates the issues arising from using one-bit resolution via applying digital antenna array beamforming at the base station. The proposed HP-BF is based on the synthesis of the linear antenna array using the well-known GA/L1 beamforming technique for maximum gain realization using the existing transmit antenna elements. This gain maximization enhances the received signal to noise ratio (SNR) giving rise to enhanced SE without adding any complexity to the system. In addition, the PC issue of A/Ds is eliminated due to using one-bit resolution. Thereby, the EE of the proposed HP-BF is enhanced due to SE enhancement and PC minimization. The simulation results exhibit a significant improvement in SE and EE of the proposed system.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579317","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}
Ibrahim Raad S. Sabry, N. E. El-Zathry, F. T. E. Given, M. A. Ghaffar
{"title":"Extended hybrid statistical tools ANFIS- GA to optimize underwater friction stir welding process parameters for ultimate tensile strength amelioration","authors":"Ibrahim Raad S. Sabry, N. E. El-Zathry, F. T. E. Given, M. A. Ghaffar","doi":"10.1109/NILES53778.2021.9600552","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600552","url":null,"abstract":"The qualities of functional parts produced by underwater friction stir welding (UWFSW) with additive water are significantly reliant on standard FSW process parameters. To improve the goal function, hybrid statistical tools can be used to optimize operation parameters. This work investigates the tensile strength(σUTS) of tests ASTM D638-14 specified parts manufactured using UWFSW by Al AA 6063-T6 material. Three parameters were varied in the fabrication of test specimens: speed of rotation from 1000 to 1800 rpm, speed of traveling from 4 to 10 mm/s, and shoulder diameter from 10 to 20 mm. Using a Hybrid artificial neural network- genetic algorithm (ANN-GA) and Hybrid artificial neural network-fuzzy-genetic algorithm (ANFIS-GA). The ANFIS-GA achieved the highest precision of 98.99 %, resulting in optimum parameters like rotational speed 1800 rpm, travelling speed 4 mm/s, and shoulder diameter 15 mm to produce a maximum tensile strength of 266 MPa. The hybrid models developed could be used to predict and maximize specific process parameters and impacts for a variety of industrial situations.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350729","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 and Implementation Of Cairo University Graphics Processing (CUGPU) Using HLS Approach","authors":"Abdulkareem Mohammed Ibrahim, S. Habib","doi":"10.1109/NILES53778.2021.9600099","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600099","url":null,"abstract":"GPUs can be divided to fixed function GPUs and programmable GPUs. Fixed function GPUs are important for low power mobile applications. This paper addresses the design and implementation, on an FPGA, of a fixed function GPU fully compatible with OpenGL 1.1.12 standard. This GPU is code-named Cairo University GPU (CUGPU). We follow a systematic design approach to design our CUGPU. We developed MATLAB model, C-language model, RTL model and finally a logic model for CUGPU. A hybrid approach for RTL synthesis is followed where automatic and manual synthesis are judiciously combined to achieve small design time and acceptable performance. The final CUGPU is implemented on Xilinx Vertix-7 FPGA. The functionality of CUGPU is verified via direct comparison with the C model results, using hardware simulation and real time on-chip logic analysis.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131759493","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":"Numerical Corrections to Estimate Depletion Region Width in Pseudo-two-dimensional Model of Double-Gate Tunneling FET","authors":"Muhammad Elgamal, A. Shaker","doi":"10.1109/NILES53778.2021.9600561","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600561","url":null,"abstract":"There is always a great demand for TFET analytical models to understand its underlined physics. One of the most widely known and citable models is the pseudo model as it gives satisfying results compared to TCAD simulations. However, the calculation of the depletion regions lengths is erroneous when using fully analytical solutions. The base on which the depletion regions is calculated should be revised to accurately model the electrostatic potential. In this work, we review the expressions that are based on pn junction assumption regarding the depletion regions lengths. A discussion is provided to prove the inability of the used equation to correctly predict the depletion lengths inside the source and the drain.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"19 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113931800","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}
Muhammad A. Abdelaziz, Toka S. Mohamed, Yosra I. Salama, A. Mohib, S. Kassem
{"title":"Facility layout and supply chain management of food service industries: A case study","authors":"Muhammad A. Abdelaziz, Toka S. Mohamed, Yosra I. Salama, A. Mohib, S. Kassem","doi":"10.1109/NILES53778.2021.9600088","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600088","url":null,"abstract":"Although there is a massive number of food tech enabled startups all over the world only few of them can succeed globally, determining the main factors which affect success or failure are still a challenge. In this paper, industrial engineering fundamentals are used to develop the startup structure and workplace design in two main areas; layout design to improve the work environment as well as flow of workers and flow of materials, supply chain management to design push-pull hybrid system and demand forecasting using non-stationary exponential smoothing method.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114502473","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":"SOR Weighting Factor Optimization of AC Systems and Electrical Circuits","authors":"Wassim Alexan, Ziad Amr, Abdelrahman Elkhateeb, Eyad Mamdouh, Hana Khalil, Fahd Al-Seba'ey","doi":"10.1109/NILES53778.2021.9600553","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600553","url":null,"abstract":"This paper presents the solution of 2 engineering problems, namely, AC systems and large electrical circuits, through representing them as linear systems of equations (LSEs) and solving them numerically, in an iterative manner. The proposed technique aims at finding the optimum weighting factors, A, that would accelerate the convergence of the successive over relaxation (SOR).","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123823599","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}
Shahd Yaser, Nour Abdelatif, I. Fahim, Youssef Emad, A. Saleh, S. Kassem
{"title":"FlexSim Simulation to Enhance Productivity of a Production Cell : A Case Study","authors":"Shahd Yaser, Nour Abdelatif, I. Fahim, Youssef Emad, A. Saleh, S. Kassem","doi":"10.1109/NILES53778.2021.9600545","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600545","url":null,"abstract":"The use of modelling and simulation as a decision-making tool has increasingly been recognized to solve industrial problems. Modeling and simulation are utilized in this study to assess, analyze, and provide recommendations for improving the performance of an existing production cell in a manufacturing plant. To analyze the performance of the assembly line under investigation, multiple key performance indicators (KPIs) are determined. With the aid of FlexSim simulation tool, an improved system is recommended after running more than 90 different scenarios to enhance the productivity. The improved scenario showed an increase in production level that eliminated the need to have overtime labor costs.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124332302","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":"ASIC-FPGA Gap for a RISC-V Core Implementation for DNN Applications","authors":"Abdelrahman S. Hussein, H. Mostafa","doi":"10.1109/NILES53778.2021.9600503","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600503","url":null,"abstract":"Recently, an emerging instruction set called RISC-V has been considered a paradigm in the computer architecture domain, which has easily got the attention of the hardware community. This is because it is fully open-source, which opens wide horizons for development and innovation. As deep learning applications (DL) are becoming more common, it is very important to evaluate the processors' performance handling such tasks. In these lights, a RISC-V core performance executing a DL task is evaluated. Also, the gap between its ASIC and FPGA implementations is measured in terms of power and area. The main finding is that ASIC achieves better optimization in both aspects more than the FPGA.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124437364","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}
Hazem A. Taha, Mohamed K. Othman, N. E. Abbas, Yara K. Sayed, H. Ammar, R. Shalaby
{"title":"Modeling of Nonlinear Enhanced Air Levitation System using NARX Neural Networks","authors":"Hazem A. Taha, Mohamed K. Othman, N. E. Abbas, Yara K. Sayed, H. Ammar, R. Shalaby","doi":"10.1109/NILES53778.2021.9600486","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600486","url":null,"abstract":"the proposed paper aims to design and model an air levitation system, which is a highly nonlinear system because of its fast dynamics and low damping. The system is trained using a Nonlinear Autoregressive model with exogenous input (NARX model). An enhanced height measurement system, modified setup, and several training techniques have been used to overcome the restrictions that the non-linearity of the system imposes in the literature. The system mathematical model has been illustrated, followed by an identified model using NARX model trained on several input-output data from the physical setup, which led to perfectly define the unknown parameters of the system. The data is collected using a closed-loop identification implemented using a Python-Arduino-linked GUI vision system, and the results were remarkable when compared to the literature setup. The results verify that NARX neural network, with suitable training procedures, could successfully model a real air levitation system.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124826684","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}