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Автор: Grafiati
Опубліковано: 26 липня 2024
Оновлено: 29 липня 2024

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Статті в журналах з теми "CANSIM (Information retrieval system)"

1

Monty, Vivienne. "CANSIM (Canadian Socioeconomic Information Management) System." Government Publications Review 18, no. 4 (July 1991): 405–6. http://dx.doi.org/10.1016/0277-9390(91)90038-y.

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2

Skinner, R., S. McFaull, J. Draca, M. Frechette, J. Kaur, C. Pearson, and W. Thompson. "Suicide and self-inflicted injury hospitalizations in Canada (1979 to 2014/15)." Health Promotion and Chronic Disease Prevention in Canada 36, no. 11 (November 2016): 243–51. http://dx.doi.org/10.24095/hpcdp.36.11.02.

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Introduction The purpose of this paper is to describe the trends and patterns of self-inflicted injuries, available from Canadian administrative data between 1979 and 2014/15, in order to inform and improve suicide prevention efforts. Methods Suicide mortality and hospital separation data were retrieved from the Public Health Agency of Canada (PHAC) holdings of Statistics Canada’s Canadian Vital Statistics: Death Database (CVS:D) (1979 to 2012); Canadian Socio-Economic Information Management System (CANSIM 2011, 2012); the Hospital Morbidity Database (HMDB) (1994/95 to 2010/11); and the Discharge Abstract Database (2011/12 to 2014/15). Mortality and hospitalization counts and rates were reported by sex, 5-year age groups and method. Results The Canadian suicide rate (males and females combined, all ages, age-sex standardized rate) has decreased from 14.4/100 000 (n = 3355) in 1979 to 10.4/100 000 (n = 3926) in 2012, with an annual percent change (APC) of –1.2% (95% CI: –1.3 to –1.0). However, this trend was not observed in both sexes: female suicide rates stabilized around 1990, while male rates continued declining over time—yet males still accounted for 75.7% of all suicides in 2012. Suffocation (hanging and strangulation) was the primary method of suicide (46.9%) among Canadians of all ages in 2012, followed by poisoning at 23.3%. In the 2014/15 fiscal year, there were 13 438 hospitalizations in Canada (excluding Quebec) associated with self-inflicted injuries—over 3 times the number of suicides. Over time females have displayed consistently higher rates of hospitalization for self-inflicted injury than males, with 63% of the total. Poisoning was reported as the most frequent means of self-inflicted harm in the fiscal year 2014/15, at 86% of all hospitalizations. Conclusion Suicides and self-inflicted injuries continue to be a serious—but preventable— public health problem that requires ongoing surveillance.
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Kumar, Ram, and S. C. Sharma. "Information Retrieval System." International Journal of Technology Diffusion 9, no. 1 (January 2018): 1–10. http://dx.doi.org/10.4018/ijtd.2018010101.

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Information Retrieval Systems (IRS) have dramatically changed the ways how people acquire information for their need. Information Retrieval (IR) enables user to find relevant document from collection of countless resources. This article presents an overview of IRS. Objectives of this article is to answer all the basic and specific questions related to IRS. In contrast to other review papers, the authors provide a complete understanding of IR in single paper. Starting from definition and importance it covers retrieval process, performance issues, and comparison among various approaches. This article also includes description of different models along with analysis of their merits and demerits. This article proposes a list of challenges, still unanswered by existing systems. Before offering a conclusion, the major applications of IR are also listed.
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Abimbola, Bola. "Intelligent Information Retrieval System." International Journal of Artificial Intelligence and Machine Learning 2, no. 1 (January 18, 2022): 71. http://dx.doi.org/10.51483/ijaiml.2.1.2022.71-74.

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Choi, Okkyung, Kangseok Kim, Duksang Wang, Hongjin Yeh, and Manpyo Hong. "Personalized Mobile Information Retrieval System." International Journal of Advanced Robotic Systems 9, no. 1 (January 1, 2012): 11. http://dx.doi.org/10.5772/50910.

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Building a global Network Relations with the internet has made huge changes in personal information system and even comments left on a webpage of SNS(Social Network Services) are appreciated as important elements that would provide valuable information for someone. Social Network is a relation between individuals or groups, represented in a graph model, which converts the concept of psychological and social relations into a logical structure by using node and link. But, most of the current personalized systems on the basis of Social Network are built and constructed mainly in the PC environment, and the systems are neither designed nor implemented in mobile environment. Hence, the objective of this study is to propose methods of providing Personalized Mobile Information Retrieval System using NFC (Near Field Communication) Smartphone, which will be then used for Smartphone users. Besides, this study aims to verify its efficiency through a comparative analysis of existing studies.
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Hong, Seok-Joo, and Young-Bae Park. "Information Retrieval System for R2SS." Journal of the Korea Contents Association 9, no. 12 (December 28, 2009): 39–51. http://dx.doi.org/10.5392/jkca.2009.9.12.039.

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Md. Kowsher, Imran Hossen, and SkShohorab Ahmed. "Bengali Information Retrieval System(BIRS)." International Journal on Natural Language Computing 8, no. 5 (October 31, 2019): 1–12. http://dx.doi.org/10.5121/ijnlc.2019.8501.

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Tewari, Ashish Kumar, Rashi, Gulshan Wadhwa, Sanjeev Kumar Sharma, and Chakresh Kumar Jain. "BIRS – Bioterrorism Information Retrieval System." Bioinformation 9, no. 2 (January 18, 2013): 112–15. http://dx.doi.org/10.6026/97320630009112.

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SHIRAHASHI, Akihiro. "Information retrieval system through Internet." Journal of Information Processing and Management 37, no. 1 (1994): 19–26. http://dx.doi.org/10.1241/johokanri.37.19.

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Davcev, Danco, Dusan Cakmakov, and Vanco Cabukovski. "Distributed multimedia information retrieval system." Computer Communications 15, no. 3 (April 1992): 177–84. http://dx.doi.org/10.1016/0140-3664(92)90078-s.

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Дисертації з теми "CANSIM (Information retrieval system)"

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Morgenroth, Karlheinz. "Kontextbasiertes Information-Retrieval : Modell, Konzeption und Realisierung kontextbasierter Information-Retrieval-Systeme /." Berlin : Logos, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2786087&prov=M&dok_var=1&dok_ext=htm.

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YU, HONGMING. "A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

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Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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Mohan, Kondrahalli Chowdappa. "Choice of retrieval techniques for a multi-strategy retrieval system." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287488.

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Taylor, Steven Joseph. "Children's usage of an information retrieval system /." Access Digital Full Text version, 1992. http://pocketknowledge.tc.columbia.edu/home.php/bybib/11230162.

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Анотація:
Thesis (Ed.D.)--Teachers College, Columbia University, 1992.
Includes tables. Typescript; issued also on microfilm. Sponsor: Robert O. McClintock. Dissertation Committee: Robert P. Taylor. Includes bibliographical references (leaves 149-157).
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6

Zhu, Bin, and Hsinchun Chen. "Validating a Geographic Image Retrieval System." Wiley Periodicals, Inc, 2000. http://hdl.handle.net/10150/105934.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms.
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Hu, You-Heng Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Development, evaluation and application of a geographic information retrieval system." Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2007. http://handle.unsw.edu.au/1959.4/41754.

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Geographic Information Retrieval (GIR) systems provide users with functionalities of representation, storage, organisation of and access to various types of electronic information resources based on their textual and geographic context. This thesis explores various aspects of the development, evaluation and application of GIR systems. The first study focuses upon the extraction and grounding of geographic information entities. My approach for this study consists of a hierarchical structure-based geographic relationship model that is used to describe connections between geographic information entities, and a supervised machine learning algorithm that is used to resolve ambiguities. The proposed approach has been evaluated on a toponym disambiguation task using a large collection of news articles. The second study details the development and validation of a GIR ranking mechanism. The proposed approach takes advantage of the power of the Genetic Programming (GP) paradigm with the aim of finding an optimal functional form that integrates both textual and geographic similarities between retrieved documents and a given user query. My approach has been validated by applying it to a large collection of geographic metadata documents. The third study addresses the problem of modelling the GIR retrieval process that takes into account both thematic and geographic criteria. Based on the Spreading Activation Network (SAN), the proposed model consists a two-layer associative network that is used to construct a structured search space; a constrained spreading activation algorithm that is used to retrieve and to rank relevant documents; and a geographic knowledge base that is used to provide necessary domain knowledge for network. The retrieval performance of my model has been evaluated using the GeoCLEF 2006 tasks. The fourth study discusses the publishing, browsing and navigation of geographic information on the World Wide Web. Key challenges in designing and implementing of a GIR user interface through which online content can be systematically organised based on their geospatial characteristics, and can be efficiently accessed and interrelated, are addressed. The effectiveness and the usefulness of the system are shown by applying it to a large collection of geo-tagged web pages.
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Tsai, Chieh-Yuan. "A flexible feature-based design retrieval system /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946307.

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Weaver, Marybeth Therese. "Implementing an intelligent information retrieval system: the CODER system, version 1.0." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/44097.

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For individuals requiring interactive access to online text, information storage and retrieval systems provide a way to retrieve desired documents and/or text passages. The CODER (COmposite Document Expert/effective/extended Retrieval) system is a testbed for determining how useful various artificial intelligence techniques are for increasing the effectiveness of information storage and retrieval systems. The system, designed previously, has three components: an analysis subsystem for analyzing and storing document contents, a central spine for manipulation and storage of world and domain knowledge, and a retrieval subsystem for matching user queries to relevant documents. This thesis discusses the implementation of the retrieval subsystem and portions of the spine and analysis subsystem. It illustrates that logic programming, specifically with the Prolog language, is suitable for development of an intelligent information retrieval system. Furthermore, it shows that system modularity provides a flexible research testbed, allowing many individuals to work on different parts of the system which may later be quickly integrated. The retrieval subsystem has been implemented in a modular fashion so that new approaches to information retrieval can be easily compared to more traditional ones. A powerful knowledge representation language, a comprehensive lexicon and individually tailored experts using standardized blackboard modules for communication and control allowed rapid prototyping, incremental development and ready adaptability to change. The system executes on a DEC VAX ll/785 running ULTRIXâ ¢, a variant of 4.2 BSD UNIX. It has been implemented as a set of MU-Prolog and C modules communicating through TCP/IP sockets.
Master of Science
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Wayshak, Corinne. "MIT in motion : an interactive multimedia information retrieval system." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14291.

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Книги з теми "CANSIM (Information retrieval system)"

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Statistics Canada. Current Economic Analysis Division. CANSIM (Canadian socio-economic information management system): Mini base series directory. Ottawa: Statistics Canada, 1987.

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Curran, Michelle. Medical information retrieval system. [s.l: The Author], 1999.

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Division, Statistics Canada CANSIM, ed. CANSIM (Canadian Socio-Economic Information Management System) cross classified: Table directory. Ottawa: Statistics Canada, 1999.

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Bartley, Raymond L. Fishing tournament information and retrieval system. College Station, Tex: Texas A&M Sea Grant College Program, 1985.

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Morris, Barbara. CARTO-NET: A cartographic information retrieval system. [London]: British Library Research and Development Dept., 1987.

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6

United States. Small Business Administration. Office of International Trade., ed. Export information system (XIS): User manual. 2nd ed. [Washington, D.C.]: U.S. Small Business Administration, Office of International Trade, 1986.

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Corporation, Time Share, ed. The Guidance information system resource kit. Hanover, NH: Houghton Mifflin/TSC Division, 1985.

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Blinova, Anna. The development of an adaptive information retrieval system. Dublin: University College Dublin, 1999.

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Perkins, C. R. Operationalizing a sheet based cartographic information retrieval system. [London: British Library], 1993.

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McAneny, Danielle S. Coastal Engineering Data Retrieval System (CEDRS). [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1995.

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Частини книг з теми "CANSIM (Information retrieval system)"

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Muhr, Thomas. "ATLAS/ti — ein Interpretations-Unterstützungs-System." In Information Retrieval, 64–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_6.

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Mauldin, Michael L. "The Ferret System." In Conceptual Information Retrieval, 55–87. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-4004-5_4.

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Willenborg, Josef. "ATLAS-PfleSaurus: Ein objektorientiertes System zur Unterstützung der Thesauruspflege." In Information Retrieval, 51–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_5.

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Merkl, Dieter, A. Min Tjoa, and SteFan Vieweg. "Eine Hypertext-Benutzerschnittstelle für ein Juristisches Volltext Information Retrieval System." In Information Retrieval, 143–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_12.

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Kowalski, Gerald. "Information Retrieval System Functions." In Information Retrieval Architecture and Algorithms, 1–26. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7716-8_1.

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Kowalski, Gerald. "Information System Evaluation." In Information Retrieval Architecture and Algorithms, 253–81. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7716-8_9.

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Ranganathan, Karthika, B. Barani, and T. V. Geetha. "A Tamil Lyrics Search and Visualization System." In Information Retrieval Technology, 513–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45068-6_44.

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Lee, Grace E., Keejun Han, and Mun Y. Yi. "Incorporating Distinct Opinions in Content Recommender System." In Information Retrieval Technology, 109–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_9.

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Kim, Yonghwan, and Soochan Hwang. "A Content-Based 3D Graphic Information Retrieval System." In Information Retrieval Technology, 567–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880592_47.

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Khan, Nimra, Bushra Hamid, Mamoona Humayun, N. Z. Jhanjhi, and Sidra Tahir. "Information Retrieval from Healthcare Information System." In Computational Intelligence in Healthcare Informatics, 107–25. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8853-2_7.

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Тези доповідей конференцій з теми "CANSIM (Information retrieval system)"

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Sanderson, Mark, and Justin Zobel. "Information retrieval system evaluation." In the 28th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1076034.1076064.

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Zhou, Hong, Syin Chan, and Kok-Fung Lai. "Multilingual information retrieval system." In Photonics East '96, edited by C. C. Jay Kuo. SPIE, 1996. http://dx.doi.org/10.1117/12.257307.

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Korra, R., P. Sujatha, S. Chetana, and M. Naresh Kumar. "Performance evaluation of Multilingual Information Retrieval (MLIR) system over Information Retrieval (IR) system." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972453.

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Mozaffari, Hamid, and Amir Houmansadr. "Heterogeneous Private Information Retrieval." In Network and Distributed System Security Symposium. Reston, VA: Internet Society, 2020. http://dx.doi.org/10.14722/ndss.2020.24363.

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Sangeetha, D., R. Kavyashri, S. Swetha, and S. Vignesh. "Information retrieval system for laws." In 2016 Eighth International Conference on Advanced Computing (ICoAC). IEEE, 2017. http://dx.doi.org/10.1109/icoac.2017.7951772.

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DeFazio, S., and C. Greenwald. "The Mead Information Retrieval System." In COMPCON Spring 88. IEEE, 1988. http://dx.doi.org/10.1109/cmpcon.1988.4906.

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He, Zhenhuan, and Zhou Li. "Survey of Information retrieval system." In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2012. http://dx.doi.org/10.1109/cyber.2012.6319999.

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Yang, Zhidan, and Zhiting Yang. "Cross Language Information Retrieval System." In 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/ifmeita-17.2018.63.

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Mauldin, Michael L. "Retrieval performance in Ferret a conceptual information retrieval system." In the 14th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/122860.122896.

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Cai, Bingjing, Chris Zheng, Sen Yang, and Jeffery Z. J. Zheng. "Mixed Query Image Retrieval System." In 2007 International Conference on Information Acquisition. IEEE, 2007. http://dx.doi.org/10.1109/icia.2007.4295776.

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Звіти організацій з теми "CANSIM (Information retrieval system)"

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Corey, B. B., N. B. Gove, S. L. Yount, and W. J. McDowell. An information retrieval system for chemical separations scientists. Office of Scientific and Technical Information (OSTI), January 1987. http://dx.doi.org/10.2172/6725612.

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Trubey, D. K. JANE, A new information retrieval system for the Radiation Shielding Information Center. Office of Scientific and Technical Information (OSTI), May 1991. http://dx.doi.org/10.2172/6042716.

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Stone, Brice M., Vincent L. Wiggins, Kevin M. Borden, LeAnn M. Coleman, and Sheree K. Engquist. Acquisition Information Retrieval and Simulation (ACQUIRES) System: A User's Manual. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada255724.

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Poole, Paula M., Marcie S. Kronberg, and Debra Meyers. Automated Airdrop Information Retrieval System-Human Fact ors Database (AAIRS-HFD) (Users Manual). Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada285571.

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Andrews, Patricia L., and Larry S. Bradshaw. FIRES: Fire Information Retrieval and Evaluation System - A program for fire danger rating analysis. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1997. http://dx.doi.org/10.2737/int-gtr-367.

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Chagas, Gabriel, Rafael Chagas, and Amanda Rangel. Effectiveness and Safety of Single Antiplatelet Therapy with P2Y12 Inhibitor Monotherapy versus Dual Antiplatelet Therapy After Percutaneous Coronary Intervention for Acute Coronary Syndrome: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0097.

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Review question / Objective: What are the effects of single antiplatelet therapy with P2Y12 inhibitor monotherapy versus dual antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome? Condition being studied: Antiplatelet therapy after percutaneous coronary intervention for acute coronary syndrome. Information sources: The databases will be Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (Embase), and Cochrane Library. Searches were conducted on July 25, 2022 and will be updated on August 25, 2022. There will be no language or publication period restrictions.
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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, August 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems.
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The design and development of an information retrieval system of the EAMATE data. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.4394v1.

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The design and development of an information retrieval system of the EAMATE data. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.4394v2.

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The design and development of an information retrieval system of the EAMATE data. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5394v1.

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