Institution
Ryerson University
Education•Toronto, Ontario, Canada•
About: Ryerson University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Poison control. 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 published on a yearly basis
Papers
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98 citations
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TL;DR: In this paper, the authors derived the localization information for static scenarios and demonstrated that such information is a weighed sum of Fisher information matrices from each anchor-antenna measurement pair.
Abstract: Location-aware networks are of great importance and interest in both civil and military applications. This paper determines the localization accuracy of an agent, which is equipped with an antenna array and localizes itself using wireless measurements with anchor nodes, in a far-field environment. In view of the Cramer-Rao bound, we first derive the localization information for static scenarios and demonstrate that such information is a weighed sum of Fisher information matrices from each anchor-antenna measurement pair. Each matrix can be further decomposed into two parts: a distance part with intensity proportional to the squared baseband effective bandwidth of the transmitted signal and a direction part with intensity associated with the normalized anchor-antenna visual angle. Moreover, in dynamic scenarios, we show that the Doppler shift contributes additional direction information, with intensity determined by the agent velocity and the root mean squared time duration of the transmitted signal. In addition, two measures are proposed to evaluate the localization performance of wireless networks with different anchor-agent and array-antenna geometries, and both formulae and simulations are provided for typical anchor deployments and antenna arrays.
98 citations
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TL;DR: In this paper, a numerical study of coflow diffusion flames at pressures from 2 to 15m was conducted, where the authors employed a detailed gas phase chemical kinetic mechanism that includes PAH formation and growth, coupled with a detailed sectional soot particle dynamics model.
98 citations
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TL;DR: In this article, two strategies are proposed to minimize costs and handle risks introduced due to wind electric generators (WEGs), which are posed as fuzzy optimization models and are solved using the mixed integer linear programming (MILP) technique.
Abstract: Day-ahead unit commitment (UC) solution methods seek to determine the status and output of all available generators. In a world with an increasing integration of renewable energy sources such as wind electric generators (WEG), the UC solution process must model and include WEGs too in the decision-making process. Power output of WEGs in a day-ahead decision-making process are usually modeled using a short-term probabilistic forecast. Inclusion of WEGs introduces uncertainty in the solution that may be quantified through an imbalance risk function. Thus a UC solution method should seek a solution to minimize cost and risk in schedule. Two strategies are proposed in this paper to minimize costs and handle risks introduced due to WEGs. These formulations are posed as fuzzy optimization models and are solved using the mixed integer linear programming (MILP) technique. The proposed strategies are tested on a 26- and a 100-generator systems with associated transmission networks that have three and six wind generators each. The results with two strategies of handling WEGs are discussed.
98 citations
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TL;DR: It is demonstrated that in both strategies, the more generous the return policy is, the higher the demand, the selling prices and the overall profit, and that adopting a dual-channel strategy is more profitable to the supply chain.
98 citations
Authors
Showing all 7846 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Michael D. Taylor | 97 | 505 | 42789 |
Peter Nijkamp | 97 | 2407 | 50826 |
Anthony B. Miller | 93 | 416 | 36777 |
Muhammad Shahbaz | 92 | 1001 | 34170 |
Rakesh Kumar | 91 | 1959 | 39017 |
Marc A. Rosen | 85 | 770 | 30666 |
Bjorn Ottersten | 81 | 1058 | 28359 |
Barry Wellman | 77 | 219 | 34234 |
Bin Wu | 73 | 464 | 24877 |
Xinbin Feng | 72 | 413 | 19193 |
Roy Freeman | 69 | 254 | 22707 |
Xiaokang Yang | 68 | 518 | 17663 |
Amir H. Gandomi | 67 | 375 | 22192 |
Konstantinos N. Plataniotis | 63 | 595 | 16695 |