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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: This research utilizes a survey method to examine the perceptions of ERP users and provides evidence that System Quality, Utilization, and Ease of Use are the most important factors bearing on individual performance in ERP environments.
Abstract: This study explores the factors that can impact individual performance when using enterprise resource planning (ERP) systems. Starting from the proposition that organizational performance depends o ...

184 citations

Journal ArticleDOI
TL;DR: An approach similar to Salameh and Jaber (2000) has been used in this paper to produce an optimal production/order quantity that takes care of imperfect processes.

184 citations

Journal ArticleDOI
C. Ma1, Daolun Chen1, S.D. Bhole1, G. Boudreau, A. Lee, Elliot Biro 
TL;DR: In this paper, the effects of weld expulsion on the microstructural characteristics, mechanical properties, and fracture modes were investigated using optical microscopy, image analysis and scanning electron microscopy (SEM) together with energy dispersive X-ray spectroscopy (EDS).
Abstract: Microstructural characterization, microhardness tests, tensile shear tests, and fatigue tests of spot-welded hot dipped galvanized (HDG) DP600 steel were conducted. The effects of weld expulsion on the microstructural characteristics, mechanical properties, and fracture modes were investigated using optical microscopy, image analysis and scanning electron microscopy (SEM) together with energy dispersive X-ray spectroscopy (EDS). The hardness in the weld nugget was observed to be over two times higher than that in the base metal due to the formation of lath martensite. Fatigue tests showed a slightly lower fatigue limit for the joints with the expulsion. The crack initiation was observed to occur basically at the boundary of the weld nugget and at the interface between two sheets. The causes for the interfacial fracture (IF) were discussed in relation to the microstructure and weld parameters.

183 citations

Journal ArticleDOI
TL;DR: PLS analysis of survey data collected from 209 employees in seven organizations that had engaged in a large-scale IT implementation revealed that project champion charisma was positively associated with increased performance expectancy, effort expectancy, social influence and facilitating condition perceptions of users.
Abstract: Although there is widespread agreement that leadership has important effects on information technology (IT) acceptance and use, relatively little empirical research to date has explored this phenomenon in detail. This paper integrates the unified theory of acceptance and use of technology (UTAUT) with charismatic leadership theory, and examines the role of project champions influencing user adoption. PLS analysis of survey data collected from 209 employees in seven organizations that had engaged in a large-scale IT implementation revealed that project champion charisma was positively associated with increased performance expectancy, effort expectancy, social influence and facilitating condition perceptions of users. Theoretical and managerial implications are discussed, and suggestions for future research in this area are provided.

183 citations

Proceedings ArticleDOI
23 Aug 2015
TL;DR: In this paper, a new state-of-the-art for document image classification and retrieval, using features learned by deep convolutional neural networks (CNNs), is presented.
Abstract: This paper presents a new state-of-the-art for document image classification and retrieval, using features learned by deep convolutional neural networks (CNNs). In object and scene analysis, deep neural nets are capable of learning a hierarchical chain of abstraction from pixel inputs to concise and descriptive representations. The current work explores this capacity in the realm of document analysis, and confirms that this representation strategy is superior to a variety of popular handcrafted alternatives. Extensive experiments show that (i) features extracted from CNNs are robust to compression, (ii) CNNs trained on non-document images transfer well to document analysis tasks, and (iii) enforcing region-specific feature-learning is unnecessary given sufficient training data. This work also makes available a new labelled subset of the IIT-CDIP collection, containing 400,000 document images across 16 categories.

182 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