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Bibliographies thématiques / Information storage and retrieval systems

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Littérature scientifique sur le sujet « Information storage and retrieval systems »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 29 juillet 2024

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Articles de revues sur le sujet "Information storage and retrieval systems"

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Azubuike, Abraham A., and Jackson S. Umoh. "Computerized information storage and retrieval systems." International Library Review 20, no. 1 (January 1988): 101–10. http://dx.doi.org/10.1016/0020-7837(88)90046-5.

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Korfhage, Robert. "Book review: information storage and retrieval systems." XRDS: Crossroads, The ACM Magazine for Students 6, no. 5 (July 15, 2000): 4. http://dx.doi.org/10.1145/345107.345115.

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Arunarani, Ar, and D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases." International Journal of Intelligent Information Technologies 14, no. 1 (January 2018): 1–16. http://dx.doi.org/10.4018/ijiit.2018010101.

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Cloud databases have been used in a spate of web-based applications in recent years owing to their capacity to store big data efficiently. In such a scenario, access control techniques implemented in relational databases are so modified as to suit cloud databases. The querying features of cloud databases are designed with facilities to retrieve encrypted data. The performance with respect to retrieval and security needs further improvements to ensure a secured retrieval process. In order to provide an efficient secured retrieval mechanism, a rule- and agent-based intelligent secured retrieval

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Yang, Heecheol, Wonjae Shin, and Jungwoo Lee. "Private Information Retrieval for Secure Distributed Storage Systems." IEEE Transactions on Information Forensics and Security 13, no. 12 (December 2018): 2953–64. http://dx.doi.org/10.1109/tifs.2018.2833050.

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Park, Laurence A. F., and Kotagiri Ramamohanarao. "Efficient storage and retrieval of probabilistic latent semantic information for information retrieval." VLDB Journal 18, no. 1 (February 28, 2008): 141–55. http://dx.doi.org/10.1007/s00778-008-0093-2.

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Tian, Chao, Hua Sun, and Jun Chen. "A Shannon-Theoretic Approach to the Storage–Retrieval Trade-Off in PIR Systems." Information 14, no. 1 (January 11, 2023): 44. http://dx.doi.org/10.3390/info14010044.

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We consider the storage–retrieval rate trade-off in private information retrieval (PIR) systems using a Shannon-theoretic approach. Our focus is mostly on the canonical two-message two-database case, for which a coding scheme based on random codebook generation and the binning technique is proposed. This coding scheme reveals a hidden connection between PIR and the classic multiple description source coding problem. We first show that when the retrieval rate is kept optimal, the proposed non-linear scheme can achieve better performance over any linear scheme. Moreover, a non-trivial storage-re

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Guo, Tao, Ruida Zhou, and Chao Tian. "New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems." IEEE Journal on Selected Areas in Information Theory 2, no. 1 (March 2021): 403–14. http://dx.doi.org/10.1109/jsait.2021.3053217.

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Kovalcik, Justin, and Mike Villalobos. "Automated Storage & Retrieval System." Information Technology and Libraries 38, no. 4 (December 16, 2019): 114–24. http://dx.doi.org/10.6017/ital.v38i4.11273.

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The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired w

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Mitev, Nathalie N. "Information Storage and Retrieval Systems: Origin, Development and Applications." Journal of Information Technology 4, no. 4 (December 1989): 242–43. http://dx.doi.org/10.1057/jit.1989.39.

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Ellis, D. "Information storage and retrieval systems: Origin, development and applications." International Journal of Information Management 10, no. 2 (June 1990): 157–58. http://dx.doi.org/10.1016/0268-4012(90)90011-g.

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Thèses sur le sujet "Information storage and retrieval systems"

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Watkins, Alfred R. "Continuous media object modeling, storage, and retrieval." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/9184.

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Xie, Jinsheng. "On the analysis of selected automated storage and retrieval systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25020.

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Yeung, Chung Kei. "Ontological model for information systems development methodology." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/702.

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Chen, QiFan. "An object-oriented database system for efficient information retrieval applications." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-170433/.

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Gregory, Michael W. (Michael Walter). "Interrelational Laboratory Information System for Data Storage and Retrieval." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc935708/.

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The necessity for a functional user friendly laboratory data management program has become evident as the quantity of information required for modern scientific research has increased to to titanic proportions. The required union of strong computer power, ease of operation, and adaptability have until recently been outside the realm of most research laboratories. Previous systems, in addition to their high cost, are necessarily complex and require software experts in order to effect any changes that the end user might deem necessary. This study examines the Apple Macintosh computer program Hyp

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Ho, Lai-ming. "Evaluation of the development and impact of clinical information systems /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19657857.

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Paiva, Joao Argemiro de Carvalho. "Topological Equivalence and Similarity in Multi-Representation Geographic Databases." Fogler Library, University of Maine, 1998. http://www.library.umaine.edu/theses/pdf/PaivaJA1998.pdf.

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Wurm, Kurt B. "The Integration of Cadastral Base Mapping with Cadastral Parcel Attribution." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/WurmKB2003.pdf.

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Fraser, Mark E. "Architecture and methodology for storage, retrieval and presentation of geo-spatial information." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000316.

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Thesis (M.S.)--University of Florida, 2001.<br>Title from title page of source document. Document formatted into pages; contains xi, 77 p.; also contains graphics. Includes vita. Includes bibliographical references.

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ATCHESON, PAUL DONALD. "AN INVESTIGATION OF ANALOG OPTICAL STORAGE THROUGH PHOTOCHEMICAL HOLE-BURNING." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188022.

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We have examined the technique of persistent spectral holeburning as a method for analog optical data storage. Two types of materials were examined from a theoretical standpoint, ones which exhibit photochemical holeburning (PHB) and ones which exhibit nonphotochemical holeburning (NPHB). We have presented the conditions under which a PHB material shows a linear relation between hole depth and exposure intensity or exposure time. Also we show that a NPHB material has no such condition. We conclude that a PHB material may be useful for analog optical data storage, while a NPHB material would no

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Livres sur le sujet "Information storage and retrieval systems"

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Kowalski, Gerald J., and Mark T. Maybury. Information Storage and Retrieval Systems. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/b116174.

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Korfhage, Robert R. Information storage and retrieval. New York: Wiley Computer Pub., 1997.

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1953-, Willett Peter, ed. Document retrieval systems. London: Taylor Graham, 1988.

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Ribeiro, Berthier de Araújo Neto, 1960-, ed. Modern information retrieval. New York: ACM Press, 1999.

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J, Warner Amy, and Lancaster F. Wilfrid 1933-, eds. Information retrieval today. Arlington, Va: Information Resources Press, 1993.

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T, Meadow Charles, Boyce Bert R, and Kraft Donald H, eds. Text information retrieval systems. 3rd ed. Amsterdam: Academic, 2007.

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Computational Information Retrieval Conference (2000 Raleigh, N.C.). Computational information retrieval. Philadelphia, PA: SIAM, 2001.

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A, Grossman David. Information retrieval: Algorithms and heuristics. Boston: Kluwer, 1998.

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Kowalski, Gerald. Information storage and retrieval systems: Theory and implementation. 2nd ed. Boston, MA: Kluwer Academic, 2000.

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Schauble, Peter. Multimedia information retrieval: Content-based information retrieval from large text and audio databases. Boston, Mass: Kluwer Academic, 1997.

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Chapitres de livres sur le sujet "Information storage and retrieval systems"

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Godard, Jérôme, Frédéric Andres, and Kinji Ono. "Advanced Storage and Retrieval of XML Multimedia Documents." In Databases in Networked Information Systems, 64–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36233-9_6.

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Gao, Xiaofei, Tiezheng Nie, Derong Shen, Yue Kou, Guangyu He, and Shicheng Xu. "B-store, a General Block Storage and Retrieval System for Blockchain." In Web Information Systems and Applications, 674–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20309-1_59.

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Lichtenwalter, Ryan N., Katerina Zorina-Lichtenwalter, and Luda Diatchenko. "Genotypic Data in Relational Databases: Efficient Storage and Rapid Retrieval." In Advances in Databases and Information Systems, 408–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66917-5_27.

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Clarke, Ian, Oskar Sandberg, Brandon Wiley, and Theodore W. Hong. "Freenet: A Distributed Anonymous Information Storage and Retrieval System." In Designing Privacy Enhancing Technologies, 46–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44702-4_4.

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Hausser, Roland. "Parsing Natural Language into Content for Storage and Retrieval in a Content-Addressable Memory." In Natural Language Processing and Information Systems, 169–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13881-2_17.

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Sharma, Deepak Kumar, and Adarsh Kumar. "Blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems." In Communications in Computer and Information Science, 355–68. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53085-2_28.

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Seidmann, Abraham. "Knowledge Models for the Design and Management of Automated Storage and Retrieval Systems." In Advanced Information Technologies for Industrial Material Flow Systems, 387–416. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74575-1_18.

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Wojnicki, Igor, Piotr Szwed, Wojciech Chmiel, and Sebastian Ernst. "Ontology Oriented Storage, Retrieval and Interpretation for a Dynamic Map System." In Communications in Computer and Information Science, 380–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30721-8_37.

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Tappia, Elena, Emilio Moretti, and Marco Melacini. "A Simulation Analysis of Part Feeding to Assembly Stations with Vertical Robotic Storage and Retrieval Systems." In IFIP Advances in Information and Communication Technology, 45–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57993-7_6.

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Falero, M. Rosario Fernández, Libertad Sánchez Gil, and Luis V. Gordillo Tapia. "Cycle of Information Retrieval through Color in e-Commerce: Store Choice." In Advances in Intelligent Systems and Computing, 1033–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36981-0_98.

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Actes de conférences sur le sujet "Information storage and retrieval systems"

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Chung, Soon M. "Storage and retrieval of multimedia information." In The earth and space science information system (ESSIS). AIP, 1993. http://dx.doi.org/10.1063/1.44466.

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"Hovering Information: A Self-Organising Infrastructure-Free Information Storage and Retrieval Service." In 4th International Workshop on Enterprise Systems and Technology. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0004465500690087.

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Takayuki Tsuchida, Tatsuo Tsuj, and Ken Higuchi. "Considerations on information storage and retrieval systems for recycling objects." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413856.

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Clarke, Charles L. A., Philip L. Tilker, Allen Quoc-Luan Tran, Kevin Harris, and Antonio S. Cheng. "A reliable storage management layer for distributed information retrieval systems." In the twelfth international conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/956863.956905.

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Shi, Haifeng, Jinsong Liu, Zhengang Yang, and Kejia Wang. "Phase-retrieval on Gaussian Beams in THz waveband via modified GS algorithm." In Information Storage System and Technology. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/isst.2019.jw4a.47.

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Tajeddine, Razan, and Salim El Rouayheb. "Private information retrieval from MDS coded data in distributed storage systems." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541531.

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Liu, Ke, Leihua Qin, Jingli Zhou, and Xuejun Nie. "Content-aware network storage system supporting metadata retrieval." In Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage, edited by Fuxi Gan. SPIE, 2008. http://dx.doi.org/10.1117/12.824655.

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Bruckmann, Tobias, Wildan Lalo, Khoa Nguyen, and Bashir Salah. "Development of a Storage Retrieval Machine for High Racks Using a Wire Robot." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70389.

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Intralogistics systems are a rapidly growing market. Today, high racks and automated storage retrieval machines are widely used to store and handle industrial goods. Conventional storage retrieval machines show a major drawback: While the containers or goods to be moved are often very lightweight, the storage retrieval machine itself may weight up to two tons which limits the energy efficiency and the motion capabilities. This limitation is a problem since the reduction of cycle times is crucial in logistics applications. Therefore, faster motions are desired. At the same time, a main focus in

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Masizana-Katongo, A. N., G. Anderson, D. Mpoeleng, T. Taukobong, G. Mosweunyane, O. T. Eyitayo, and B. Gopolang. "An SMS-based Healthcare Information Storage and Retrieval System." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.687-012.

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Ramadan, Muawia, Bashir Salah, and Bernd Noche. "Innovative Estimating Travel Time Model for Dual-Command Cycle Time of Stewart-Gough Platform in Automated Storage/Retrieval Systems." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70078.

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The travel time models of automated storage and retrieval systems (AS/RS’s) have been widely used in distribution and production environments. This paper extends previous work presented on impact design aspects of automated storage/retrieval systems by determining the expected cycle travel time for single command. Our new study improves the throughput performance rate of new AS/RS’s design on cycle travel time that will be specified by estimating travel time for dual command to serve as storage and retrieval (S/R) machine using a parallel wire-based Stewart-Gough platform (parallel wire robot)

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Rapports d'organisations sur le sujet "Information storage and retrieval systems"

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HOLDEN, N. E. A SHORT HISTORY CSISRS - AT THE CUTTING EDGE OF NUCLEAR DATA INFORMATION STORAGE AND RETRIEVAL SYSTEMS AND ITS RELATIONSHIP TO CINDA, EXFOR AND ENDF. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/862430.

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Baylor, Robert. Automated information retrieval systems for legal research. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.648.

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Huber, George P. A Study of Organizational Information Search, Acquisition, Storage and Retrieval. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada172063.

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Bitz, D. A., D. L. Berry, and L. J. Jardine. Decision and systems analysis for underground storage tank waste retrieval systems and tank waste remediation system. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10196816.

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Berry, D. L., and L. J. Jardine. Decision and systems analysis for underground storage tank waste retrieval systems and tank waste remediation system. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10133252.

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Elkerton, Jay, and Susan Palmiter. Designing Help Systems Using a GOMS Model: Part 1. An Information Retrieval Evaluation. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada213603.

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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42200.

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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainabl

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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42200.

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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainabl

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Mays, Gary T., Randy Belles, Sacit Cetiner, Rob L. Howard, Cheng Liu, Don Mueller, Olufemi Omitaomu, Steven Peterson, and John M. Scaglione. Application of Spatial Data Modeling Systems, Geographical Information Systems (GIS), and Transportation Routing Optimization Methods for Evaluating Integrated Deployment of Interim Spent Fuel Storage Installations and Advanced Nuclear Plants. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1050369.

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van Helden, Wim. Compact Thermal Energy Storage. IEA SHC Task 67, June 2023. http://dx.doi.org/10.18777/ieashc-task67-2023-0001.

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This position paper provides an overview of the compact thermal energy storage technologies market, outlining its importance, potential, and development. It addresses policy, decision makers, and influencers and aims to present high-level information as a basis for uptake and further development. It concludes by highlighting actions needed to further exploit thermal energy storages with minimal space requirements and accelerate more efficient energy systems, including sector coupling, with a higher share of renewables.

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