{"title":"Analytical study of drain current and transconductance for a new cylindrical gate MOSFET structure","authors":"Hind Jaafar, A. Aouaj, A. Bouziane, B. Iñíguez","doi":"10.1109/ICOA.2018.8370495","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370495","url":null,"abstract":"In this paper, we present a comparison study on the performance of cylindrical gate (CG) MOSFET with graded channel doping (GC), dual metal gate (DMG) and dual oxide thickness (DOT). We develop compact model of short channel characteristics like drain current density, transconductance and drain conductance for this new structure (GC-DMG-DOT) SG MOSFET by solving 2D Poisson equation. The results are compared with the DMG MOSFET and DMG-DOT MOSFET devices. The model results are validated by numerical simulation results obtained by commercially simulator TCAD ATLAS.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124616983","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":"Optimal synchronizing speed control of multiple DC motors","authors":"H. M. Guzey, A. Dumlu, Nurbanu Guzey, Adil Alpay","doi":"10.1109/ICOA.2018.8370508","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370508","url":null,"abstract":"In this paper, optimal synchronization speed control of multiple DC motors is developed by using leader-follower based approach. One of the DC motor is considered as a leader motor and it tracks its desired speed trajectory. The other DC motor is controlled through a leader-follower based optimal formation controller developed in this work. If the leader DC motor slows down or speeds up for some reason, the follower DC motor synchronize its speed according to the leader without having any knowledge about the desired trajectory. By doing so, the multiple DC motors will be able to work together in a synchronized manner. The simulation results are given at the end of the paper to verify our theoretical claims.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123997658","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":"Parametric uncertainties effect on the performance of HAWT's induction machine: Bond graph approach","authors":"Naima Jouilel, M. Radouani, Benaissa El Fahime","doi":"10.1109/ICOA.2018.8370514","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370514","url":null,"abstract":"The analysis and synthesis of uncertainties in Multidisciplinary systems is a crucial step to evaluate their reliability. In this work, we propose a methodology to analyze electrical uncertainties effects on the generated power for HAWT's induction machine. The proposed approach is based on Bond Graph formalism and natural reference frame (three sinusoidal signals) to model the generator. The estimation of parametric uncertainties effects on induction machine responses will enable the designers to establish robust law controls and then achieve higher efficiency. The model is validated using 20-Sim software.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618297","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":"Reconstruction of axle load signal, measurement basis of static load of vehicle axles through the high speed weigh in motion system","authors":"Lhoussaine Oubrich, M. Ouassaid, M. Maaroufi","doi":"10.1109/ICOA.2018.8370501","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370501","url":null,"abstract":"The dynamic loads are the variable component of axle load signal of vehicles, while its continuous component corresponds to the static load of the axle. These dynamic loads are the main factor that affects the accuracy of the High Speed Weigh in Motion System (HS-WIM), which are designed for measuring axle load of moving vehicles at normal speed. This paper introduces the algorithm of the Lagrange Polynomial Interpolation to reconstruct the axle load signal on a limited bandwidth and few simulation tests are completed as well. The reconstruction of the signal, performed from discrete samples, allows the estimation of the static axle load. The drawn conclusion of this study confirms, through the simulation tests, the efficiency of the studied algorithm, which is proven through the encouraging values of the evaluation indicators related to the signal reconstruction quality.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126909015","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":"Optimizing Bootstrap method to improve forecasting accuracy in business jet spare parts supply chains","authors":"R. Ezekwesili, M. Shahzad, A. Baboli, R. Tonadre","doi":"10.1109/ICOA.2018.8370567","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370567","url":null,"abstract":"Having products available when customer wants them keeps customers satisfied and businesses more competitive, especially in business aircrafts industry where clients are paying considerably higher for flying than in a commercial airliner. So, all parts needed for normal operation and maintenance must be readily available to ensure business flights. As there are business-aircrafts' spare parts which have lead times of up to three years, to ensure that the right parts are available at the right time in the right volume and at the right location, forecasts must be made of anticipated customer demand. The overestimated demand results in holding costs as storage, rent utilities and product obsolescence costs whereas underestimated demand leads to back order and stock out. The demand in business aircrafts industry is volatile so traditional forecasting methods are not efficient. This give rise of interest in data driven forecasting methods e.g. Bootstrap, Neural Network etc. have compared existing traditional and data driven methods and proposed an extension to Bootstrap through sliding window concept as best performing forecasting method. In this paper, optimization methodology for the sliding window bootstrap is proposed to improve forecasting accuracy. Results are validated using data from Dassault Falcon Business Jet. USA, world renowned Business Aircraft manufacturer.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127188232","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":"Optimal digital IIR filter design using ant colony optimization","authors":"Kritele Loubna, Benhala Bachir, Zorkani Izeddine","doi":"10.1109/ICOA.2018.8370500","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370500","url":null,"abstract":"Digital filters are mainly classified into two types: Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters. The IIR filters are fundamental elements of digital signal processing, they can present a better performance compared to that of the FIR filters. However, the error surface of IIR filters is generally nonlinear and multimodal. Hence, global optimization techniques must be used. The Ant Colony algorithms form a class of proposed metaheuristics for solving difficult optimization problems. In this paper, tow variants of Ant Colony Optimization, namely, the Ant System and the Ant Colony System are proposed to deal with the optimal design of IIR filters. Also, the performance of the proposed algorithms is compared.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133907234","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. Mouna, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan
{"title":"Estimation of the state of charge of the battery using EKF and sliding mode observer in Matlab-Arduino/LabView","authors":"A. Mouna, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan","doi":"10.1109/ICOA.2018.8370497","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370497","url":null,"abstract":"This paper presents the estimation of the state of charge of the battery using two types of observers. The battery model used is the combination of a voltage source, which is the open circuit battery voltage of a strength corresponding to the connection of resistors and electrolyte and a series of parallel RC circuits representing charge transfer phenomena and diffusion. An adaptive observer applied to this model are proposed, this observer to estimate the state of charge of the battery is based on EFK and sliding mode that is known for their robustness and simplicity implementation. The results are validated by simulation under Matlab/Simulink and implemented in Arduino-LabView.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131343379","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}
M. Mostefaoui, NECAIBIA Ammar, Abderrezzaq Ziane, R. Dabou, A. Rouabhia, S. Khelifi, A. Bouraiou, N. Sahouane
{"title":"Importance cleaning of PV modules for grid-connected PV systems in a desert environment","authors":"M. Mostefaoui, NECAIBIA Ammar, Abderrezzaq Ziane, R. Dabou, A. Rouabhia, S. Khelifi, A. Bouraiou, N. Sahouane","doi":"10.1109/ICOA.2018.8370518","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370518","url":null,"abstract":"There is a great potential for solar power utilization in the desert region in the south of Algeria by employing solar photovoltaic (PV) modules. The accumulation of dust on the surface of photovoltaic (PV) cause a significant degradation of solar conversion efficiency of PV modules. This work tries to estimate the day loss of generated energy caused by dust deposition on PV modules based on an experimental setup of a grid-connected PV plant. The experimental measurements are carried out under the outdoor condition in Adrar, Algeria. This study reveals that leaving PV array without cleaning it is not recommended in the Saharan environmental conditions which significantly reduce PV power output.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904613","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}
Khalili Taj Eddine, Raihani Abdelhadi, Bouattane Omar, Ouajji Hassan
{"title":"A new multilevel inverter with genetic algorithm optimization for hybrid power station application","authors":"Khalili Taj Eddine, Raihani Abdelhadi, Bouattane Omar, Ouajji Hassan","doi":"10.1109/ICOA.2018.8370499","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370499","url":null,"abstract":"Multilevel inverters are one of the most brilliant technology evolution in power conversion. It provides a stair wave output signal out of multi DC sources used as input. This paper presents a new multilevel inverter topology. The 7 levels architecture principle used in this study is first presented. In order to achieve a better signal output quality an adaptive genetic algorithm is used to reduce the harmonic content. The THD minimization is realized by calculating the appropriate switching angle in real time. However this study is focused on the 7 levels case, it also refers to other levels. The analysis is based on THD evaluation in different cases. All simulations and programming were done using Matlab.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116503917","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":"Real-time data analysis using Spark and Hadoop","authors":"Khadija Aziz, Dounia Zaidouni, M. Bellafkih","doi":"10.1109/ICOA.2018.8370593","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370593","url":null,"abstract":"Big Data is at use every single day, from the adoption of Internet through social networks, mobile devices, connected objects, videos, blogs and others. Big Data real-time processing have received a growing attention especially with the expansion of data in volume and complexity. Big data is created every day, from the use of the Internet through social networks, mobile devices, connected objects, videos, blogs and others. In order to ensure a reliable and a fast real-time information processing, powerful tools are essential for the analysis and processing of Big Data. Standards MapReduce frameworks such as Hadoop MapReduce face some limitations for processing real-time data of various formats. In this paper, we highlight the implementation of the de-facto standard Hadoop MapReduce and also the implementation of the framework Apache Spark. Thereafter, we conduct experimental simulations to analyze a real-time data stream using Spark and Hadoop. To further enforce our contribution, we introduce a comparison of the two implementations in terms of architecture and performance with a discussion to feature the results of simulations. The paper discusses also the drawbacks of using Hadoop for real-time processing.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134590247","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}