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Institution

Ryerson University

EducationToronto, Ontario, Canada
About: Ryerson University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Computer science & Population. The organization has 7671 authors who have published 20164 publications receiving 394976 citations. The organization is also known as: Ryerson Polytechnical Institute & Ryerson Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: The main function of the active damping control is to suppress possible LC resonances caused by the inverter filter capacitor and motor inductances, which is essential in achieving stable operation of the drive, especially in the multimotor drive where multiple LC resonant modes exist.
Abstract: A space vector controlled channel state information (CSI) drive for multimotor applications is investigated The multimotor operation of the drive is achieved by integrating the proposed active damping control, inverter-side DC link voltage feedforward control and pulse width modulation (PWM) index control into the conventional V/f control The main function of the active damping control is to suppress possible LC resonances caused by the inverter filter capacitor and motor inductances This function is essential in achieving stable operation of the drive, especially in the multimotor drive where multiple LC resonant modes exist An additional advantage provided by the active damping control is that it makes the control system less sensitive to motor parameters The inverter-side DC link voltage feedforward control and the adjustable PWM modulation index control are developed to improve the dynamic performance of the drive system In addition, the proposed space vector PWM pattern features a low switching frequency (500 Hz), which makes the proposed drive system suitable for high power applications The system stability is investigated by means of eigenvalue analysis The theoretic analysis is verified by experiments on a digital signal processing (DSP) controlled CSI multimotor drive

91 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the tensile properties and strain hardening behavior of a friction stir welded (FSWed) thick AA2219 aluminum alloy under optimized welding parameters and varying cooling conditions (air cooling and water cooling) with three slices through the plate thickness.
Abstract: Microstructures, tensile properties and strain hardening behavior of a friction stir welded (FSWed) thick AA2219 aluminum alloy under optimized welding parameters and varying cooling conditions (air cooling and water cooling) were investigated with three slices (top, middle and bottom) through the plate thickness. While the yield strength was lower in the FSWed joints than in the base metal, the ultimate tensile strength of the FSWed joints with water cooling reached nearly that of the base metal. In particular, FSW resulted in a significant improvement in the ductility of the alloy due to the presence of recrystallized fine grains with fragmented and uniformly dispersed second-phase particles in the weld nugget zone. Water cooling resulted in both higher strength and ductility, but lower strain hardening capacity than that with air cooling during FSW. Compared with the middle and bottom slices, the top slice had a higher strength, but lower ductility and strain hardening capacity. While stages III and IV hardening occurred after yielding in both base metal and FSWed samples, the FSW led to higher hardening capacity and strain hardening rate and exponent mainly in the middle and bottom slices. The fracture surfaces after FSW exhibited more obvious ductile fracture characteristics with dimples and tearing ridges along with micropores.

91 citations

Journal ArticleDOI
TL;DR: A network selection and channel allocation mechanism in order to increase revenue by accommodating more SUs and catering to their preferences, while at the same time, respecting the primary network operator's policies is presented.
Abstract: The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network’s perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. This paper presents a network selection and channel allocation mechanism in order to increase revenue by accommodating more SUs and catering to their preferences, while at the same time, respecting the primary network operator’s policies. An optimization problem is formulated in order to minimize accumulated interference incurred to licensed users and the amount that SUs have to pay for using the primary network. The aim is to provide SUs with a specific QoS at a lower price, subject to the interference constraints of each available network with idle channels. Particle swarm optimization and a modified version of the genetic algorithm are used to solve the optimization problem. Finally, this paper is supported by extensive simulation results that illustrate the effectiveness of the proposed methods in finding a near-optimal solution.

91 citations

Journal ArticleDOI
TL;DR: In this paper, a new dynamic dial-a-ride policy is introduced, one that features non-myopic pricing based on optimal tolling of queues to fit with the multi-server queueing approximation method proposed by Hyttia et al. (2012) for large-scale systems.
Abstract: Non-myopic dial-a-ride problem and other related dynamic vehicle routing problems often ignore the need for non-myopic pricing under the assumption of elastic demand, which leads to an overestimation of the benefits in level of service and resulting inefficiencies. To correct this problem, a new dynamic dial-a-ride policy is introduced, one that features non-myopic pricing based on optimal tolling of queues to fit with the multi-server queueing approximation method proposed by Hyttia et al. (2012) for large-scale systems. By including social optimal pricing, the social welfare of the resulting system outperforms the marginal pricing assumed for previous approaches over a range of test instances. In the examples tested, improvements in social welfare of the non-myopic pricing over the myopic pricing were in the 20–31% range. For a given demand function, we can derive the optimal fleet size to maximize social welfare. Sensitivity tests to the optimal price confirm that it leads to an optimal social welfare while the marginal pricing policy does not. A comparison of single passenger taxis to shared-taxis shows that system cost may reduce at the expense of decreased social welfare, which agrees with the results of Jung et al. (2013).

91 citations

Journal ArticleDOI
TL;DR: In this paper, the modelling capacity of transparent soil was investigated by comparing boundary soil displacement fields under a model footing in a transparent soil model with those from a natural soil model, and the results showed that transparent soil is more robust than natural soil.
Abstract: The modelling capacity of transparent soil was investigated by comparing boundary soil displacement fields under a model footing in a transparent soil model with those from a natural soil model. Tr...

91 citations


Authors

Showing all 7846 results

NameH-indexPapersCitations
Eleftherios P. Diamandis110106452654
Michael D. Taylor9750542789
Peter Nijkamp97240750826
Anthony B. Miller9341636777
Muhammad Shahbaz92100134170
Rakesh Kumar91195939017
Marc A. Rosen8577030666
Bjorn Ottersten81105828359
Barry Wellman7721934234
Bin Wu7346424877
Xinbin Feng7241319193
Roy Freeman6925422707
Xiaokang Yang6851817663
Amir H. Gandomi6737522192
Konstantinos N. Plataniotis6359516695
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023240
2022338
20211,774
20201,708
20191,490