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Relevant bibliographies by topics / Data storage and retrieval

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Academic literature on the topic 'Data storage and retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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Journal articles on the topic "Data storage and retrieval"

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Kalisman, Michael, and Amir Kalisman. "Data Storage and Retrieval." Clinics in Plastic Surgery 13, no. 3 (1986): 529–44. http://dx.doi.org/10.1016/s0094-1298(20)31578-9.

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Yin, Xishuang, and Yi Feng. "Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–17. https://doi.org/10.4018/ijaeis.373123.

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The reasonable storage and retrieval of spatial data in rivers and lakes can promote the development of river and lake management and protection projects. In order to efficiently store and retrieve river and lake spatial data, this study adopts river and lake data and computer technology to design a data storage architecture and retrieval method based on river and lake spatial data types. The design of the structured data storage architecture adopts relational databases and document databases with spatial indexing characteristics. Use a geospatial data abstraction library to read and write raster image data from unstructured data, and use Elasticsearch to retrieve metadata. The test results show that the minimum latency of this architecture is 13ms, the average response time is 78ms, the maximum throughput is 14000 req/s, and the average failure rate is 0.106%. The designed architecture and database performance are excellent, providing technical support for efficient storage and retrieval of river and lake spatial data.

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Hao, Jianying, Yuhong Ren, Yuanying Zhang, et al. "Non-interferometric phase retrieval for collinear phase-modulated holographic data storage." Optical Review 27, no. 5 (2020): 419–26. http://dx.doi.org/10.1007/s10043-020-00611-x.

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Abstract Because of its simple optical system setup and robust noise tolerance, non-interferometric phase retrieval is an important technique for phase-modulated holographic data storage. Usually, the iterative algorithm of non-interferometry needs hundreds of iteration numbers to retrieve phase accurately, the data transfer rate decreases severely. Strong constraints such as adding embedded data into the phase data page can reduce the iteration numbers, but this method decreases the code rate severely. In this paper, we proposed the advanced non-interferometric phase retrieval method based on the collinear system. By encoding the reference beam of the collinear optical holographic storage system with embedded data, the storage space of the signal beam data page is completely released and the encoding rate is doubled. The embedded data can provide more modulation index including phase and amplitude to shorten iterations, so the data transfer rate is also increased. In the simulation, we recorded a four-level phase pattern and retrieved the phase correctly.

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Dhulavvagol, Praveen M., Akhilesh Gadagkar, K. J. Ateeth, Gururaj Hegade, Ritik Poonia, and S. G. Totad. "Optimised Image Storage and Retrieval on Hadoop." ITM Web of Conferences 53 (2023): 03001. http://dx.doi.org/10.1051/itmconf/20235303001.

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With the exponential growth of data, it is difficult to efficiently store and retrieve data using traditional methods. There is a need to optimize the storage and to efficiently retrieve relevant data matching the user query. Traditional methods lack optimized storage and to effectively retrieve data. To overcome these limitations, in this project, we propose a distributed architecture framework to optimize memory usage and to effectively retrieve relevant data using Content-Based Image Retrieval (CBIR). The experimental results show that the proposed model enhances storage performance and retrieval time by 20%.

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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 (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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Jiang, Haifeng, and Chang Wan. "Realization of Dynamic Interface and High Performance Data Retrieval." Computer and Information Science 10, no. 4 (2017): 16. http://dx.doi.org/10.5539/cis.v10n4p16.

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This paper introduces a method to realize dynamic interface, and designs a database storage model based on XML field technology to realize convenient data storage, any combination condition retrieval function and how to improve the retrieval speed in this kind of storage model. Usually a business system needs to provide information entry and retrieval functions, software designers have to design the appropriate entry items, input interface and retrieval functions for each business system and spend too much time on the repetitive works. And later engineers have to maintain the changing needs of the entry project, so we can apply the dynamic interface technology to achieve the customize needs of input items by the user, reducing the time of the repetitive works. Dynamic interface technology includes the realization of database storage and high performance data retrieval. This paper explores a storage model based on XML database to realize common and efficient storage and discuss on how to improve the retrieval speed in this kind of storage model.

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Perez, J. A., I. Soto, H. Kaschel, I. Jiron, P. Adasme, and J. Denardin. "Data Storage and Retrieval on Nanoparticles." IEEE Latin America Transactions 15, no. 7 (2017): 1238–43. http://dx.doi.org/10.1109/tla.2017.7959341.

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Ali, M., N. Q. Soomro, H. Ali, A. Awan, and M. Kirmani. "Distributed File Sharing and Retrieval Model for Cloud Virtual Environment." Engineering, Technology & Applied Science Research 9, no. 2 (2019): 4062–65. https://doi.org/10.5281/zenodo.2648029.

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Cloud-based storage services are multiplying and are being adapted mostly for data storage. At the same time, many potential problems pertaining to data storage and security are being addressed. This research provides the architecture for splitting user data and the solution in retrieving different data chunks, stored on different cloud storages. By doing this, not only the load on a single server is reduced but security and storage are efficiently used. Data would be stored and retrieved in slices, hence the chances of data forgery are diminishing. File processing will be faster as split parts would be fetched from different clouds, enabling parallel processing.

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S., Sharmila Selvi. "STORAGE OPTIMIZATION OF REPOSITORIES USING DATA MINING AND BIG DATA." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 6, no. 5 (2019): 516–18. https://doi.org/10.5281/zenodo.3234982.

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Software Configuration Management (SCM) deals with various changes and evolution in the software. Each software comprises of thousands of versions. Individual versions need to be stored again and again. Every software keeps on evolving so we need to keep track on each evolution. Software engineer uses mining techniques to store and retrieve these kinds of data’s. This research paper deals with the design, and implementation of an efficient storage management for SCM repositories that facilitates a developer’s to store revisions of software changes using Map reduce Techniques. The main objective of this research work is at making the storing and retrieval process of SCM repositories easier. Storage of SCM repository keeps on increasing. SCM repository needs a processing technique to process those data before storing. Map reduce Technique is used to process those data in Divide and Conquer manner. It stores source code in the format of the graph so storing and retrieval process is much easier. It, in turn, reduces the storage whole SCM repository. Thus, an efficient storage system for SCM repositories is achieved and a prototype is discussed in this paper.

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Vegesna, Rohith Varma. "Designing an Archival System for Long-Term Fuel System Data Analysis." International Scientific Journal of Engineering and Management 03, no. 09 (2024): 1–3. https://doi.org/10.55041/isjem02155.

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The increasing volume of fuel transaction data necessitates efficient long-term archival solutions to enable historical analysis, regulatory compliance, and anomaly detection. Traditional storage methods may become inefficient due to high storage costs and data retrieval latencies, especially as fuel stations generate continuous data streams. This paper proposes an archival system designed to store and retrieve long-term fuel transaction data efficiently, ensuring optimized performance without unnecessary overhead. Leveraging tiered storage models, metadata indexing, and cloud- based solutions such as MongoDB’s native archiving capabilities, this system transitions data older than three months to an archival repository where it remains accessible on demand. MongoDB’s TTL indexes and sharding features provide efficient management of archived records, enabling retrieval without performance degradation. The system also employs metadata-based indexing and hierarchical storage techniques, improving query efficiency and reducing latency in accessing historical data. The archival system ensures data integrity, scalability, and compliance with industry regulations, offering an adaptable solution for long-term storage needs in fuel transaction management. A performance evaluation of various storage solutions highlights the benefits of using hierarchical storage, optimized query mechanisms, and cost-effective data retention strategies to enhance long-term data accessibility and regulatory compliance. Keywords: Fuel transaction archiving, long-term data storage, hierarchical storage, cloud-based archival, regulatory compliance, data retrieval optimization, MongoDB archiving.

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Dissertations / Theses on the topic "Data storage and retrieval"

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Valiveti, Radhakrishna Carleton University Dissertation Engineering Electrical. "Learning algorithms for data retrieval and storage." Ottawa, 1990.

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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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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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Wang, Ruihong. "Design of a storage and retrieval model for multimedia data." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/10053.

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One of the most important and challenging aspects in multimedia technology is the design of a storage and retrieval system that will support the recording and the playback of multimedia data from a secondary storage device. This multimedia storage and retrieval system must be capable of handling discrete media (i.e. text, images and graphics) and continuous media (i.e. audio, video and animation). It should also provide facilities to handle the synchronization information between two or more data objects in a multimedia application. In this thesis, multimedia technology and its applications are first introduced followed by a review of multimedia requirements. An overview of the current storage and retrieval techniques for multimedia information is then given. Following, our storage model for multimedia data is presented. This model can support the storage of both discrete media and continuous media on a hard disk, it also offers methods to store the synchronization information of data objects on the disk. Unlike conventional data placement techniques, a special storage pattern is used in the model for the storage of continuous media streams. By using the storage pattern, real-time constraint can be guaranteed during the retrieval of a continuous media stream. A control scheme for simultaneous retrieval of multiple streams is then discussed in a single disk head system. The control scheme can guarantee the continuous retrieval of multiple streams simultaneously. By combining this control scheme with buffering techniques, a dynamic access control algorithm is developed to control the acceptance of the new retrieval request. Computer simulation is used to help the analysis of the storage model and the simultaneous retrieval control scheme. The results show that the storage and retrieval model can provide a good storage efficiency, and can guarantee the continuous retrieval of delay sensitive media streams.

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Wiegnad, Timothy Frank. "A parallel architecture for storage and retrieval of spatial data." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239119.

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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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Ferrill, Micha. "EFFICIENT DATA STORAGE, SAMPLING, AND RETRIEVAL BY LEVERAGING OPEN SOURCE TECHNOLOGIES." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/627019.

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This paper demonstrates the use of open-source software tools to manage large data sets. Advances in technology have greatly reduced the cost of data storage and processing systems. The ability to handle large amounts of data efficiently while retaining fine-grain control of the data retrieval process becomes a challenge. In particular, traditional data processing applications are inadequate to handle the large data sets typically encountered in IRIG-106 Chapter 10[1] data files. We answer this challenge by using readily available, open-source tools that efficiently store and retrieve IRIG-106 Chapter 10 data to/from a file-based database. We will demonstrate a method that facilitates a separation between the parsing of raw input data and the display of desired information at a user-defined sample rate. This open-source based solution provides a low-cost, reliable, and efficient means for handling large amounts of data at a high rate of speed.

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McCracken, Kenneth D. (Kenneth Duncan). "Flexible and robust data storage and retrieval in the Haystack system." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86688.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 121-124).<br>by Kenneth D. McCracken.<br>M.Eng.

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Jones, Charles H. "IRIG 106 Chapter 10 vs. iNET Packetization: Data Storage and Retrieval." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581608.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California<br>The approach to recording data during Test & Evaluation has evolved dramatically over the decades. A simple, traditional approach is to pull all data into a PCM format and record that. A common current approach is to record data in an IRIG 106 Chapter 10 compliant format that records different forms of data (bus, discrete, video, etc.) in different channels of the recorder or exported data file. With network telemetry on the horizon, in the form of the integrated Network Enhanced Telemetry (iNET) standards, much of the data will be transported in iNET messages via Ethernet frames. These messages can potentially carry any type of data from any source. How do we record this data? Ultimately, no matter how the data is stored, it must be translated into a form that can be used for data analysis. Data storage forms that are conducive to this analysis are not necessarily the same that are conducive to real time recording. This paper discusses options and tradeoffs of different approaches to incorporating iNET data structures into the existing T&E architecture.

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Kim, Hyunki. "Developing semantic digital libraries using data mining techniques." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010105.

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Books on the topic "Data storage and retrieval"

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Teskey, F. N. Novel computer architectures for data storage and retrieval. British Library Board, 1985.

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Teskey, F. N. Novel computer architectures for data storage and retrieval. (F.N. Teskey?), 1985.

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Spelter, Henry. Northeast economic data and retrieval system. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1993.

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Wei, Chia-Hung, and Chih-Ying Gwo. Modern Library Technologies for Data Storage, Retrieval, and Use. Information Science Reference, 2013.

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Rohwer, Götz. RZoo: Efficient storage and retrieval of social science data. EuropeanUniversity Institute, 1992.

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Piramanayagam, S. N., and Chong Tow Chong. Developments in data storage: Materials perspective. Wiley, 2011.

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United States. National Aeronautics and Space Administration., ed. Radio metric and orbit data: Recommendation for space data system standards. National Aeronautics and Space Administration, 1989.

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(Firm), Butler Group, ed. Managing the storage of information: Reducing the costs and improving the efficiency of data storage. Butler Direct, 2005.

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United States. National Aeronautics and Space Administration., ed. Standard formatted data units -- control authority procedures: Recommendation for space data system standards. National Aeronautics and Space Administration, 1991.

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United States. National Aeronautics and Space Administration., ed. Standard formatted data units -- structure and construction rules: Recommendation for space data system standards. National Aeronautics and Space Administration, 1989.

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Book chapters on the topic "Data storage and retrieval"

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Chemuturi, Murali. "Data Storage and Retrieval." In Computer Programming for Beginners. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9780429453250-3.

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Tashman, Adam P. "Data Storage and Retrieval." In From Concepts to Code. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003403982-7.

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Chemuturi, Murali. "Data, Storage, and Retrieval." In Software Design. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781351068567-6.

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Chon, Hae Don, Divyakant Agrawal, and Amr El Abbadi. "Storage and Retrieval of Moving Objects." In Mobile Data Management. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44498-x_14.

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Hindrichs, A. E. "Environmental Data Management: Storage, Handling and Retrieval." In Environmental Data Management. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9056-3_6.

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Ochsenbein, François. "Data Storage and Retrieval in Astronomy." In Data Analysis in Astronomy II. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2249-8_28.

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Nicholus, Ray. "HTML Element Data Storage and Retrieval." In Beyond jQuery. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2235-5_6.

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Starck, Jean-Luc, and Fionn Murtagh. "Multiple Resolution in Data Storage and Retrieval." In Astronomy and Astrophysics Library. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04906-8_9.

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Starck, J. L., and F. Murtagh. "Multiple Resolution in Data Storage and Retrieval." In Astronomy and Astrophysics Library. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33025-7_9.

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Ahire, Pritam Ramesh, Rohini Hanchate, and K. Kalaiselvi. "Optimized Data Retrieval and Data Storage for Healthcare Applications." In Predictive Data Modelling for Biomedical Data and Imaging. River Publishers, 2024. http://dx.doi.org/10.1201/9781003516859-6.

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Conference papers on the topic "Data storage and retrieval"

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Helle, Henk P. E. "About Corrosion Data, Knowledge and Information Retrieval." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92261.

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Abstract The increased accessibility of data that computers provide has caused a range of expert and information-retrieval systems to be designed in all areas of knowledge, including corrosion knowledge. In that light, an analysis is made of corrosion information and what is needed in the process industry. It is shown that expert systems should be business- related, i.e. both the information storage and the retrieval method should be brought in close relation with the business of the users of the system. A new bussiness-related corrosion expert system provides expert knowledge about specific plants and equipment, has superior accessibility and can stay, as a dynamic system, comfortably ahead of the state-of-the-art.

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Wu, Xuan, Qian Gong, Jieyang Chen, et al. "Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00092.

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Pengcheng, Liu, Qinzhi, Zhang Shibin, Chang Yan, and Yan Lili. "A Method for Compressed Storage and Retrieval of Triplet Data Based on Cuckoo Hashing." In 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2024. https://doi.org/10.1109/iccwamtip64812.2024.10873638.

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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. OSA, 2003. http://dx.doi.org/10.1364/ods.2003.tuc2.

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Mansuripur, Masud, Pramod K. Khulbe, Stephen M. Kuebler, et al. "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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Xu, Kebin, Yang Yuan, Haiying Xu, Jing Hong, and Yuhuan Xu. "Real-time Holographic Optical Storage." In Optical Data Storage. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/ods.1989.thd3.

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This letter presents the holographic storage properties in LiNbO3:Pr and LiNbO3:Ce:Fe crystals and demonstrates real-time parallel optical associative memory system implemented with LiNbO3:Ce:Fe as recording medium and a LiNbO3:Fe amplifier used to provide feedback, thresholding and gain. In our experiment, the retrieval of complete image when only a partial image addresses the system is demonstrated.

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Scifres, D. R., J. Major, E. P. Zucker, R. R. Craig, R. S. Geels, and D. F. Welch. "Types of Diode Lasers Now Available for Use in Optical Data Storage Systems." In Optical Data Storage. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/ods.1994.md1.

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One of the largest applications for semiconductor lasers is optical data storage and retrieval systems. Optical data storage applications are expanding rapidly beyond the simple compact disk player requiring a few milliwatt 780 nm laser. This talk will discuss the wide range of laser diode options presently available for optical data storage applications as well as future technical advances which may improve such systems.

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Bhadoria, Sonali, and C. G. Dethe. "Study of Medical Image Retrieval." In 2010 International Conference on Data Storage and Data Engineering (DSDE). IEEE, 2010. http://dx.doi.org/10.1109/dsde.2010.55.

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Shroff, Ness B. "Fast Data Retrieval in Cloud Storage Systems." In MobiHoc'15: The Sixteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM, 2015. http://dx.doi.org/10.1145/2746285.2746323.

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Gonizzi, Pietro, Gianluigi Ferrari, Paolo Medagliani, and Jeremie Leguay. "Data storage and retrieval with RPL routing." In 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iwcmc.2013.6583761.

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Reports on the topic "Data storage and retrieval"

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Stearns, S. D. Storage and retrieval of nuclear test data. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/211588.

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Wasser, Ed, Sanjay Boddhu, Niranjan Kode, and Telford Berkey. Analyst Performance Measures. Volume 1: Persistent Surveillance Data Processing, Storage and Retrieval. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada567802.

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Bethel, E. Wes, Luke Gosink, John Shalf, Kurt Stockinger, and Kesheng Wu. HDF5-FastQuery: An API for Simplifying Access to Data Storage,Retrieval, Indexing and Querying. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/888964.

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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), 2005. http://dx.doi.org/10.2172/862430.

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Raja, Rameez Ali, Vidushi Toshniwal, and Rodrigo Salgado. GIS-Based Geotechnical Database for Collaborative GIS. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317637.

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INDOT spends at least 8 million dollars annually on geotechnical site investigations, not including the amounts spent by contractors. The laborious and costly job of data collection in geotechnical practice requires the efficient storing and organizing of this valuable data to develop correlations and trends in spatially varying geotechnical data. INDOT currently uses gINT software for managing geotechnical data and ArcGIS for storing boring logs and geotechnical reports. The INDOT geotechnical office is pursuing means to improve the efficiency of their operations by developing a GIS-based geotechnical database for secure storage, easy retrieval, and flexible sharing of geotechnical data to enhance decision making. SPR-4616 is the first step towards the development of a geotechnical data management system in which important decisions on the components and structure of the database were made. The report presents a detailed conceptual layout for the development of a geotechnical database following an object-oriented programming approach. The report discusses in detail the geotechnical applications, the field, laboratory, and verification tests that will be included in the database. The geotechnical variables required to perform the engineering analysis in designing specific applications are logically linked with the geotechnical tests from which they are obtained. Lastly, a detailed layout of the proposed database structure and a user workflow example is provided in the report and can serve as a guide during the development of the database system.

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Engle, Randall W. Retrieval and Storage Consequences of Working Memory Limitations. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada312121.

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Spelter, Henry, and Sujata Ghosh. Northeast economic data and retrieval system. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1993. http://dx.doi.org/10.2737/fpl-gtr-78.

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F.J. Bierich. Concepts for Waste Retrieval and Alternate Storage of Radioactive Waste. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/859055.

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

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Bannister, R., G. Rhoden, and G. B. Davies. Evaluation of retrieval activities and equipment for removal of containers from the transuranic storage area retrieval enclosure. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/195770.

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