Academic literature on the topic 'Information Storage and Retrieval'

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Journal articles on the topic "Information Storage and Retrieval"

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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 model has been proposed in this paper that analyzes the user, query and contents to be retrieved so as to effect rapid retrieval with decryption from the cloud databases. The major advantage of this retrieval model is in terms of its improved query response time and enhanced security of the storage and retrieval system. From the experiments conducted in this work, proposed model increased storage and access time and, in addition, intensified the security of the data stored in cloud databases.
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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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Chen, Hong Ling, and Xing Po Ma. "Adaptive Information Brokerage in Wireless Sensor Networks with Virtual Rings." Applied Mechanics and Materials 687-691 (November 2014): 3044–47. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3044.

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We study the problem of information brokerage in wireless sensor networks, where each sensor node can be an information producer or an information consumer, or both an information consumer and information producer. Some sensor nodes in the sensor networks can be selected out as the storage nodes, where the producers can store their data and the consumers can retrieve the data they are interested in. Which node/nodes should be chosen as the storage node/nodes is a challenging problem, because many factors such as the data generating rates of the producers and the query frequencies of the consumer should be considered. In this paper, we proposed a novel data storage and retrieval scheme named SRVR (Storage and Retrieval with Virtual Rings). SRVR chooses the nodes in an optimal ring around the center of the sensor network field as the storage nodes, and achieves data storage and retrieval based on the ring. We show by simulation that SRVR achieves more balanced traffic load on sensor nodes and prolongs the lifetime of the senor networks.
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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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Fukuda, Keisuke, and Geoffrey F. Woodman. "Visual working memory buffers information retrieved from visual long-term memory." Proceedings of the National Academy of Sciences 114, no. 20 (May 1, 2017): 5306–11. http://dx.doi.org/10.1073/pnas.1617874114.

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Human memory is thought to consist of long-term storage and short-term storage mechanisms, the latter known as working memory. Although it has long been assumed that information retrieved from long-term memory is represented in working memory, we lack neural evidence for this and need neural measures that allow us to watch this retrieval into working memory unfold with high temporal resolution. Here, we show that human electrophysiology can be used to track information as it is brought back into working memory during retrieval from long-term memory. Specifically, we found that the retrieval of information from long-term memory was limited to just a few simple objects’ worth of information at once, and elicited a pattern of neurophysiological activity similar to that observed when people encode new information into working memory. Our findings suggest that working memory is where information is buffered when being retrieved from long-term memory and reconcile current theories of memory retrieval with classic notions about the memory mechanisms involved.
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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 with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.
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Thanh, Nguyen Chi. "MCA method in information storage and retrieval." Journal of Computer Science and Cybernetics 1, no. 3 (August 6, 2015): 25–28. http://dx.doi.org/10.15625/1813-9663/1/3/6691.

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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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Davis, Charles H. "Information Storage and Retrieval. Robert R. Korfhage." Library Quarterly 69, no. 2 (April 1999): 254–56. http://dx.doi.org/10.1086/603066.

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Lundeen, Gerald. "CAIRS: Local database information storage and retrieval." Online Review 10, no. 3 (March 1986): 159–61. http://dx.doi.org/10.1108/eb024212.

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Dissertations / Theses on the topic "Information Storage and Retrieval"

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Komaragiri, Vivek Chakravarthy. "Application of decision diagrams for information storage and retrieval." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-04082002-144345.

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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 Hypercard as an interactive laboratory information system that is user-friendly, cost effective, and adaptable to the changing demands within a modern molecular or microbiology.
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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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Chanana, Vivek, University of Western Sydney, of Science Technology and Environment College, and School of Computing and Information Technology. "Enhancing information retrieval effectiveness through use of context." THESIS_CSTE_CIT_Chanana_V.xml, 2004. http://handle.uws.edu.au:8081/1959.7/719.

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Information available in digital form has grown phenomenally in recent years. Finding the required information has become a difficult and challenging task. This is primarily due to the diversity and enormous volume of information available and the change in the nature of people now seeking information – from experts to ordinary users of desktop computers with varying interest and objectives. The problem of finding relevant information is further impacted by the poor retrieval effectiveness of most current information retrieval (IR) systems that are primarily based on keyword indexing techniques. Though these systems retrieve documents that contain those keywords specified in the query, the documents that are retrieved may not necessarily be in the context in which the user would have wanted them to be. This research works argues that exploiting the user’s context of the information need has the potential to improve the performance of information retrieval systems. Context can reduce the ambiguity by associating meanings to request/query terms, and thus limit the scope of the possible misinterpretations of query terms. A new way of defining context categories based on information type is proposed and this notion of context differs from the conventional way of defining information categories based on subject topics as it is closely linked with the situation in which the user’s needs for information originates. A new context-based information retrieval system where users could specify the context in which they are seeking information is presented. This work also includes a full-scale development, implementation and evaluation of the new context-based information system
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Cheng, Antonio S. "A robust distrubuted storage system for large information retrieval applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0005/MQ40934.pdf.

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Daoud, Amjad M. "Efficient data structures for information retrieval." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40031.

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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 not. Experiments were conducted with a NPHB material, R' color centers in LiF, to support the NPHB analysis.
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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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Alavi, Arash. "Data retrieval single layer networks of logical memory neurons." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302820.

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Xu, Deyan. "A knowledge-based information storage and retrieval system for natural languages." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0031/MQ47379.pdf.

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Books on the topic "Information Storage and Retrieval"

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

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

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Ingwersen, Peter. Information retrieval interaction. London: Taylor Graham, 1992.

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

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E, Ash Janet, ed. Communication, storage, and retrieval of chemical information. Chichester, West Sussex, England: E. Horwood, 1985.

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

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Tomek, Strzalkowski, ed. Natural language information retrieval. Dordrecht: Kluwer Academic, 1999.

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Book chapters on the topic "Information Storage and Retrieval"

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Weik, Martin H. "information storage and retrieval." In Computer Science and Communications Dictionary, 778. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8964.

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Locker, Yvonne. "Storage and Retrieval of Information." In Business Workshop, 77–90. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-11727-7_8.

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Na, Gap-Joo, and Sang-Won Lee. "A Relational Nested Interval Encoding Scheme for XML Storage and Retrieval." In Information Retrieval Technology, 715–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_73.

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Fox, Edward A., and Paul Mather. "Scalable Storage for Digital Libraries." In Multimedia Information Retrieval and Management, 265–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05300-3_12.

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Murdock, Bennet B., and Rita E. Anderson. "Encoding, Storage, and Retrieval of Item Information." In Information Processing and Cognition, 145–94. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032722450-8.

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Ladra, Susana, Miguel R. Luaces, José R. Paramá, and Fernando Silva-Coira. "Space- and Time-Efficient Storage of LiDAR Point Clouds." In String Processing and Information Retrieval, 513–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32686-9_36.

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Nair, Vikram, Vijayanand Banahatti, and Niranjan Pedanekar. "TAGZILLA: Tag-Based File Storage and Retrieval." In Human Interface and the Management of Information. Information and Interaction Design, 505–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39209-2_57.

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Zhang, Byoung-Tak, and Joo-Kyung Kim. "DNA Hypernetworks for Information Storage and Retrieval." In DNA Computing, 298–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11925903_23.

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Minne, S. C., S. R. Manalis, and C. F. Quate. "Scanning Probes for Information Storage and Retrieval." In Microsystems, 131–40. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5167-6_7.

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Tse, Philip K. C., and Clement H. C. Leung. "A low latency hierarchical storage organization for multimedia data retrieval." In Multimedia Information Analysis and Retrieval, 181–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0016498.

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Conference papers on the topic "Information Storage and Retrieval"

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Mansuripur, M., P. K. Khulbe, S. M. Kuebler, J. W. Perry, M. S. Giridhar, and N. Peyghambarian. "Information Storage and Retrieval using Macromolecules as Storage Media." In Optical Data Storage. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/ods.2003.tuc2.

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Mansuripur, Masud, Pramod K. Khulbe, Stephen M. Kuebler, Joseph W. Perry, M. S. Giridhar, James K. Erwin, Kibyung Seong, Seth R. Marder, and Nasser Peyghambarian. "Information storage and retrieval using macromolecules as storage media." In Optical Data Storage 2003, edited by Michael O'Neill and Naoyasu Miyagawa. SPIE, 2003. http://dx.doi.org/10.1117/12.533057.

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Rothrock, Brandon, Brad A. Myers, and Sophie H. Wang. "Unified associative information storage and retrieval." In CHI '06 extended abstracts. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1125451.1125688.

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Chan, Terence H., Siu-Wai Ho, and Hirosuke Yamamoto. "Private information retrieval for coded storage." In 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282975.

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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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Mansuripur, Masud. "Information Storage and Retrieval Using Macromolecules as Storage Media." In ASME 4th Integrated Nanosystems Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/nano2005-87089.

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To store information at extremely high-density and data-rate, we propose to adapt, integrate, and extend the techniques developed by chemists and molecular biologists for the purpose of manipulating biological and other macromolecules.
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Banawan, Karim, Batuhan Arasli, and Sennur Ulukus. "Improved Storage for Efficient Private Information Retrieval." In 2019 IEEE Information Theory Workshop (ITW). IEEE, 2019. http://dx.doi.org/10.1109/itw44776.2019.8989262.

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Yim, Sungshik, and David Rosen. "Case-Based Retrieval Approach of Supporting Process Planning in Layer-Based Additive Manufacturing." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35309.

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The process planning task for a given design problem in additive manufacturing can be greatly enhanced by referencing previously developed process plans. In this research, a case-based retrieval method, called the DFM (Design For Manufacturing) framework, that retrieves previously formulated process plans is proposed to support process planning. To support the DFM Framework, we have developed an information model (ontology) of manufacturing process knowledge in the domain of additive manufacturing processes, including design requirements, process plans, and rules that map requirements to plans. Description Logic (DL) is identified as an appropriate mathematical formalism to encode the ontology and realize the computational mapping between the design and manufacturing domains. Storage and retrieval algorithms are presented that, first, structure the repository of previous DFM problems and, second, enable DFM problems to be retrieved.
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Wei, Yi-Peng, and Sennur Ulukus. "Private Information Retrieval with Private Side Information Under Storage Constraints." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613374.

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Tian, Chao. "On the Storage Cost of Private Information Retrieval." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174244.

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Reports on the topic "Information Storage and Retrieval"

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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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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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Jha, Somesh, Vitaly Shmatikov, and Matthew Fredrikson. Private Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada536856.

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Baldwin, Richard M. TA-97-4 Black Powder in the Gas Industry - Sources Characteristics and Treatment. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 1998. http://dx.doi.org/10.55274/r0011722.

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The original objective of this research was to investigate means of controlling materials ingested into compressors in pipeline, refinery, gathering, and storage services. After an initial industry survey, it was determined that "Black Powder" (various forms of iron sulfide mixed with contaminants) is the least understood and most prominent contamination problem in pipelines and their compression equipment. The information documented in this report was gathered from technical literature, the Internet, researchers, experts, practitioners in the natural gas industry, field experience, and equipment manufacturers' publications. This search has determined that there is much expert knowledge in the technical community concerning many aspects of the iron sulfide problem, however, there is only a limited understanding by those in the gas industry that face the problem. This report discusses information gathered as a part of the research, including a section with references to retrievable literature used.
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Knoblock, Craig A., Yigal Arens, and Chu-Nan Hsu. Cooperating Agents for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada285887.

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Hoeferlin, David M., and Stephen A. Thorn. Crosslingual Audio Information Retrieval Development. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada539725.

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Newitt, L. R., G. V. Haines, and R. L. Coles. The magnetic information retrieval program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/225655.

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Bader, Brett William, Peter Chew, Ahmed Abdelali, and Tamara Gibson Kolda. Cross-language information retrieval using PARAFAC2. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/908061.

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Liu, Xiaoyong, and W. B. Croft. Statistical Language Modeling for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440321.

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Franz, Martin, J. S. McCarley, and Wei-Jing Zhu. English-Chinese Information Retrieval at IBM. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456312.

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