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All (26) (0 to 10 of 26 results)
- Articles and reports: 36-28-0001202300200003Description: This article examines the patenting activity of women-owned businesses and compares it to that of men- and equally-owned businesses, and businesses where gender of ownership cannot be determined. It adds to the literature on the gender gap in patenting, as most of it has focused on women as researchers or inventors, and not as business owners.Release date: 2023-02-22
- Articles and reports: 18-001-X2022001Description:
Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.
Release date: 2022-09-06 - Articles and reports: 11-633-X2022005Description:
This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).
Release date: 2022-04-19 - Articles and reports: 36-28-0001202200300005Description:
This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.
Release date: 2022-03-23 - Articles and reports: 18-001-X2021003Description:
Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.
Release date: 2022-01-21 - Articles and reports: 18-001-X2020002Description:
This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.
Release date: 2020-12-08 - Stats in brief: 11-627-M2020072Description:
This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.
Release date: 2020-10-05 - Articles and reports: 88F0006X2009004Description:
This paper provides an analysis of technological change within the Canadian economy based on data from the 2006 Survey of Electronic Commerce and Technology where firms indicated how they introduced significantly improved technologies. The paper explores differences in the use of methods of introduction of significantly improved technologies by firm/organization size and by industry in both the private and public sectors.
The paper begins with a brief presentation of previous work carried out on technology introduction. The methodology is described. A description of concepts used in the analysis will follow. Analytic results examining technological change in the private sector overall, by industry and by size, and the public sector overall, by industry and by size are presented. A comparison of technological change in the private and public sectors follows. The paper concludes with a discussion of analytic results and further analytic work that could be undertaken.
Release date: 2009-11-19 - Articles and reports: 88-003-X200800210742Geography: CanadaDescription:
In its recently released science and technology (S&T) strategy, Mobilizing Science and Technology to Canada's Advantage (Government of Canada 2007), the federal government stated its commitment to improving its ability to measure and report on the impact of federal S&T expenditures. In response to this challenge, the Policy Research Initiative (PRI) collaborated with departments and agencies that conduct and fund S&T to explore these issues. This article provides a summary from one of the PRI reports, The Transmission of Technology and Knowledge to Innovative Manufacturing Firms by Publicly Funded Research Organizations.
Release date: 2008-11-21 - Articles and reports: 88-003-X200800110595Geography: CanadaDescription:
The 2005 Survey of Innovation asked non-innovative manufacturing plants why they did not innovate; that is, why they did not introduce a new or significantly improved product or process to the market during the three-year reference period 2002 to 2004. Lack of market demand was the main response. An examination of repondents' other specified reasons shows that some non-innovators may actually be innovative although they do not perceive themselves to be. Innovative and non-innovative plants perceive success factors, such as developing and seeking new markets, in significantly different ways. Non-innovative plants are not expected to be innovative in the near future.
Release date: 2008-05-22
Stats in brief (1)
Stats in brief (1) ((1 result))
- Stats in brief: 11-627-M2020072Description:
This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.
Release date: 2020-10-05
Articles and reports (25)
Articles and reports (25) (0 to 10 of 25 results)
- Articles and reports: 36-28-0001202300200003Description: This article examines the patenting activity of women-owned businesses and compares it to that of men- and equally-owned businesses, and businesses where gender of ownership cannot be determined. It adds to the literature on the gender gap in patenting, as most of it has focused on women as researchers or inventors, and not as business owners.Release date: 2023-02-22
- Articles and reports: 18-001-X2022001Description:
Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.
Release date: 2022-09-06 - Articles and reports: 11-633-X2022005Description:
This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).
Release date: 2022-04-19 - Articles and reports: 36-28-0001202200300005Description:
This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.
Release date: 2022-03-23 - Articles and reports: 18-001-X2021003Description:
Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.
Release date: 2022-01-21 - Articles and reports: 18-001-X2020002Description:
This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.
Release date: 2020-12-08 - Articles and reports: 88F0006X2009004Description:
This paper provides an analysis of technological change within the Canadian economy based on data from the 2006 Survey of Electronic Commerce and Technology where firms indicated how they introduced significantly improved technologies. The paper explores differences in the use of methods of introduction of significantly improved technologies by firm/organization size and by industry in both the private and public sectors.
The paper begins with a brief presentation of previous work carried out on technology introduction. The methodology is described. A description of concepts used in the analysis will follow. Analytic results examining technological change in the private sector overall, by industry and by size, and the public sector overall, by industry and by size are presented. A comparison of technological change in the private and public sectors follows. The paper concludes with a discussion of analytic results and further analytic work that could be undertaken.
Release date: 2009-11-19 - Articles and reports: 88-003-X200800210742Geography: CanadaDescription:
In its recently released science and technology (S&T) strategy, Mobilizing Science and Technology to Canada's Advantage (Government of Canada 2007), the federal government stated its commitment to improving its ability to measure and report on the impact of federal S&T expenditures. In response to this challenge, the Policy Research Initiative (PRI) collaborated with departments and agencies that conduct and fund S&T to explore these issues. This article provides a summary from one of the PRI reports, The Transmission of Technology and Knowledge to Innovative Manufacturing Firms by Publicly Funded Research Organizations.
Release date: 2008-11-21 - Articles and reports: 88-003-X200800110595Geography: CanadaDescription:
The 2005 Survey of Innovation asked non-innovative manufacturing plants why they did not innovate; that is, why they did not introduce a new or significantly improved product or process to the market during the three-year reference period 2002 to 2004. Lack of market demand was the main response. An examination of repondents' other specified reasons shows that some non-innovators may actually be innovative although they do not perceive themselves to be. Innovative and non-innovative plants perceive success factors, such as developing and seeking new markets, in significantly different ways. Non-innovative plants are not expected to be innovative in the near future.
Release date: 2008-05-22 - 10. Departure of Frederic Gault ArchivedArticles and reports: 88-003-X200800110598Geography: CanadaDescription:
After working for more than 20 years on behalf of science and technology statistics, Dr. Frederic Gault, Director, Science, Innovation and Electronic Information Division, is leaving Statistics Canada.
Release date: 2008-05-22
Journals and periodicals (0)
Journals and periodicals (0) (0 results)
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