E. Mohammadi, R. Fadaeinedjad, H. Shariatpanah, G. Moschopoulos
{"title":"Performance evaluation of yaw and stall control for small-scale variable speed wind turbines","authors":"E. Mohammadi, R. Fadaeinedjad, H. Shariatpanah, G. Moschopoulos","doi":"10.1109/CCECE.2017.7946599","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946599","url":null,"abstract":"This paper evaluates the performance of several control methods for small-scale variable speed wind turbines (WTs) in wind energy systems (WES). The methods that will be studied are maximum power point tracking (MPPT) control for below rated wind speed operation and yaw and stall control for above rated wind speed operation. In the paper, the simulation platform used for the study is described, yaw and stall control are explained, and simulation results are presented then discussed. The paper concludes with a comparison between yaw control and stall control performance.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823076","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":"On on-chip intelligence paradigms","authors":"Omar Eldash, Kasem Khalil, M. Bayoumi","doi":"10.1109/CCECE.2017.7946728","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946728","url":null,"abstract":"Hardware Intelligence is an attractive concept that has the potential to make electronic, industrial and reliability-oriented applications efficiently optimized. This work investigates different frameworks and analyzes their challenges. Hardware automation faces different challenges like scalability, overhead, testability as well as goal definition. For better classification, hardware systems are mapped to different layers with different granularities of reconfiguration, monitoring and decision making. An Intelligent Hardware Stack (IHW) is proposed to differentiate these layers showing which techniques can be mapped to which layer. IHW stack presented in this paper showcase different substrates essential for the process like monitoring, reconfiguration and decision making.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128158795","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. Mohaghegh, E. Ghafar-Zadeh, Samal Munidasa, S. Magierowski
{"title":"Toward Age-related Macular Degeneration (AMD) Big Data: Hardware and software design and implementation","authors":"N. Mohaghegh, E. Ghafar-Zadeh, Samal Munidasa, S. Magierowski","doi":"10.1109/CCECE.2017.7946660","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946660","url":null,"abstract":"This paper presents a novel Age-related Macular Degeneration (AMD) Big Data platform for future pharmaceutical applications. This platform is a network collecting AMD data from a large number of AMD patients in a central unit for data analytical purposes. Each network node is connected to a headset with graphical interface system for measuring the progression of AMD. Herein we discuss the proposed hardware and software and demonstrate the results for Big Data applications. Based on these results, the proposed platform offers unique and promising advantages for early detection of AMD and for future optimization of in-development AMD related drugs using the obtained Big Data.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663339","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":"An efficient optimal clock network buffer sizing with slew consideration","authors":"Ali Farshidi, L. Rakai, L. Behjat","doi":"10.1109/CCECE.2017.7946666","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946666","url":null,"abstract":"One of the challenging stages in Very Large Scale Integration (VLSI) design is clock network synthesis that plays an important role in the circuit performance. Digital Integrated Circuits (IC) include synchronous components and timing criteria are the most important performance constraints in the VLSI designs. This paper describes an efficient optimal method to solve the clock network buffer sizing non-convex optimization problem. We use a geometric programming format with two competing objectives, power consumption and clock network skew considering slew and technology constraints to find the global optimal solution. The proposed formulation is applied on the latest clock network benchmarks from the 2009 and 2010 ISPD clock network contests and results show up to 86% reduction in power consumption and up to 183 ps skew reduction. We also show our proposed formulation can be solved efficiently in a relatively short runtime compared to other existing algorithms in the literature.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123783094","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":"An electrical model for energy efficiency evaluation of NiMH batteries","authors":"Ahmed Zurfi, Jing Zhang","doi":"10.1109/CCECE.2017.7946648","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946648","url":null,"abstract":"In this work, we propose an electrical model of the battery based on its equivalent circuit for the evaluation of the energy efficiency. The circuit model consists of a current-dependent nonlinear resistance to model the total drop in the battery voltage caused by the activation, concentration, and Ohmic polarizations. The effects of the coulomb losses on the battery run time are also considered in the model. The model targets the state of charge range from 20% to 80% in which best energy efficiency can be achieved, and the total resistance is a function of the battery current magnitude only. The model is intended to be used for real-time management of the battery energy efficiency in grid-connected applications. Through experiments and simulations of two NiMH battery packs, we confirm the effectiveness of the model in evaluating the energy efficiency at different conditions of charge and discharge currents.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122490791","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}
Nuradeen Fethalla, M. Saad, H. Michalska, J. Ghommam
{"title":"Robust observer-based backstepping controller for a quadrotor UAV","authors":"Nuradeen Fethalla, M. Saad, H. Michalska, J. Ghommam","doi":"10.1109/CCECE.2017.7946754","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946754","url":null,"abstract":"A novel robust tracking controller for a quadrotor UAV is designed that is capable to compensate the unknown unmatched uncertainties in the system model. A backstepping approach is employed in which such perturbations are estimated on-line by a nonlinear disturbance observer (NDO). The NDO is employed to estimate the effect of wind perturbations and unknown aerodynamical forces. Global asymptotic tracking of the desired position and yaw angle of the quadrotor is achieved in closed loop where the controller gains are selected to satify conditions that follow from stability analysis of the system. The system performance exhibits much better robustness than the existing backstepping control methods which are not equipped with nonlinear disturbance estimators.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122772298","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 Heart Attack Mobile Detection Service (RHAMDS): An IoT use case for Software Defined Networks","authors":"Samr Ali, M. Ghazal","doi":"10.1109/CCECE.2017.7946780","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946780","url":null,"abstract":"Continuous growing interest in IoT applications particularly for a smart city setting has attracted many researchers. E-health applications in IoT networks are the newest area of interest in this research field. On the other hand, networking and communications fields are witnessing a revolution through the new concepts of Mobile Edge Computing (MEC) characterised by latency sensitivity and geographical awareness. Moreover, the Software Defined Network (SDN) is an innovative network paradigm that allows programming of the network through the separation of the data plane and the control plane and provides global intelligence for the network. We marry this technologies to propose a novel IoT e-health service; Real-time Heart Attack Mobile Detection Service (RHAMDS) through voice control and gesture control using smart watches. RHAMDS aims to improve response time of emergency aid for heart attack patients, in vehicular networks in particular, and to prevent the possible resulting vehicle collisions. In this paper, we present the proposed RHAMDS's network architecture, workflow, and model variations.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425846","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":"Measuring heat transport in electronic devices over small length scales","authors":"M. Shahzadeh, S. Pisana","doi":"10.1109/CCECE.2017.7946821","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946821","url":null,"abstract":"High current operation is often desirable in electronic devices, as it affects a variety of essential aspects such as switching speed in transistors, sensitivity in sensors, and light output in light-emitting devices. High currents, however, can lead to premature device failure or the degradation of device performance, as the inherent increase in device operating temperature can degrade materials/junctions, increase leakage, or lower mobility. In an effort to characterize the heat transport in electronic devices near the region where the heat is generated and dissipated, we have implemented a frequency-domain thermoreflectance system that allows for the characterization of thermal transport in prototype devices, with the end goal of finding avenues to optimize the heat conduction/dissipation problem. Particularly for emerging devices based on 2D materials such as graphene, there is an opportunity to impact the device performance at the early stages of device development. We present a method that allows for the thermoreflectance signal to be detected at frequencies beyond 50 MHz, which leads to the ability to measure short-range heat transport, where most of the heat dissipation bottlenecks in small scale devices exist.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277053","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":"A comparative study of different multilevel converter topologies for Battery Energy Storage application","authors":"A. Delavari, I. Kamwa, A. Zabihinejad","doi":"10.1109/CCECE.2017.7946773","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946773","url":null,"abstract":"The integration of Battery Energy Storage Systems (BESS) into the power grids has been proposed as an effective solution for mitigating voltage and frequency instability problems arising from the integration of renewable resources with intermittent patterns. One of the most important applications of BESS is to restore an electric power system to operation without counting on the external transmission network. To prevent potential damage to the expensive equipment of power plant, the converters must generate a high quality and reliable three phase voltage. This research provides a simulation-based investigation in order to scrutinize different multi-level inverter topologies to find the more appropriate multi-level inverter structure for BESS application. The investigation has been done entitled of quantitative and qualitative studies. Throughout the quantitative study, the output specifications of each inverter topology is scrutinized, while other features such as reliability, modularity and functionality are scrutinized as qualitative study. All topologies are simulated in MATLAB/Simulink at the same operating conditions.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131807075","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":"Khums Optimization Algorithm","authors":"Z. Hasan, M. El-Hawary","doi":"10.1109/CCECE.2017.7946836","DOIUrl":"https://doi.org/10.1109/CCECE.2017.7946836","url":null,"abstract":"This paper proposes new algorithm called Khums Optimization Algorithm (KOA). KOA is a population based algorithm like GA, BBO and PSO, and inspired from the religious Islamic tax objectives and execution. KOA has two process in searching the optimal solution:collection and distribution. In both process new candidate solution will be generated and ranked based on the objective function. furthermore this paper will explore the performance of KOA in solving 14 benchmark from the literature and compare the performance with other methods. Then it is used to solve the economic dispatch problem with valve point effect for three generator system and thirteen generator system.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"4 23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130356702","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}