Relevant bibliographies by topics / Storage retrieval system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Storage retrieval system'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Storage retrieval system"

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Han, Min-Hong, Leon F. McGinnis, Jin Shen Shieh, and John A. White. "On Sequencing Retrievals In An Automated Storage/Retrieval System." IIE Transactions 19, no. 1 (March 1987): 56–66. http://dx.doi.org/10.1080/07408178708975370.

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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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Abubacker, K. A. Shaheer, J. Sutha, and K. A. Shahul Hameed. "A simple multi-feature based stereoscopic medical image retrieval system." Polish Journal of Medical Physics and Engineering 25, no. 2 (June 1, 2019): 127–30. http://dx.doi.org/10.2478/pjmpe-2019-0017.

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Abstract This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and re-ranking of retrieved images. This method retrieves similar images of the query image from the database and re-ranks them according to the disparity map. The performance is evaluated using the metrics namely average retrieval precision (APR) and average retrieval rate (ARR). According to the performance outcomes, the multi-feature based image retrieval using Mahalanobis distance measure has produced better result compared to other distance measures namely Euclidean, Minkowski, the sum of absolute difference (SAD) and the sum of squared absolute difference (SSAD). Therefore, the stereo image retrieval systems presented has high potential in biomedical image storage and retrieval systems.
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Zhengyang Bai, Zhengyang Bai, Chao Hang Chao Hang, and Guoxiang Huang Guoxiang Huang. "Storage and retrieval of ultraslow optical solitons in coherent atomic system." Chinese Optics Letters 11, no. 1 (2013): 012701–12703. http://dx.doi.org/10.3788/col201311.012701.

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Xu, Cong, and Hui Yu. "Compact system without moving parts for retrieving residuals from storage tanks." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 13 (January 7, 2014): 2372–82. http://dx.doi.org/10.1177/0954406213518909.

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A compact retrieval system without moving parts was designed to lift and transport residuals in storage tanks to a higher elevation. The key component of the retrieval system, a curve reverse flow diverter (CRFD) with a vortex diode, was machined into a stainless steel disk to enable the entire system to be compact. The compact retrieval system can be installed in storage tanks through an existing narrow mounting hole. The pumping performance of the retrieval system was examined in terms of the effects of curve reverse flow diverter configurations, lift height, compression pressure, and suction pressure. Results reveal that the vortex diode with higher swirl resistance does not enhance the pumping capacity of the retrieval system. The pumping capacity of the retrieval system increased with increasing compression pressure and decreased with increasing lift height and suction pressure. During the compression phase of the retrieval system, the empty factor qc was found to be linear with the Euler number Eu. The compact retrieval system can resolve the difficulty to retrieve high-level radioactive residuals in storage tanks without radioactive leak and frequent maintenance.
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Shimizu, Mikio. "IV. Automated Storage & Retrieval System." IEEJ Transactions on Industry Applications 114, no. 2 (1994): 125–28. http://dx.doi.org/10.1541/ieejias.114.125.

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Tutak, Jacek, and Jakub Wiech. "HORIZONTAL AUTOMATED STORAGE AND RETRIEVAL SYSTEM." Advances in Science and Technology Research Journal 11, no. 1 (March 3, 2017): 82–95. http://dx.doi.org/10.12913/22998624/68470.

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Nelson, Michael L., and Tilemahos Poulis. "The class storage and retrieval system." ACM SIGPLAN OOPS Messenger 6, no. 2 (April 1995): 28–36. http://dx.doi.org/10.1145/212025.212033.

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Shirato, Linda, Sarah Cogan, and Sandra Yee. "The impact of an automated storage and retrieval system on public services." Reference Services Review 29, no. 3 (September 1, 2001): 253–61. http://dx.doi.org/10.1108/eum0000000006545.

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In June 1998, the Bruce T. Halle Library opened on Eastern Michigan University’s campus and began using an automated storage and retrieval system for low‐use books and periodicals. Approximately one third of the library’s total collection was placed into this storage system, freeing floor space for many new activities in the library. This system, linked to the library’s online catalog, could retrieve items requested by a patron in less than ten minutes. While the Automated storage/retrieval systems (AS/RS) performed well, other start‐up problems of a new building and public perceptions of the AS/RS made its introduction a challenge. Planning, implementation, and public reaction and acceptance are discussed.
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Hao, Jianying, Yuhong Ren, Yuanying Zhang, Kun Wang, Hui Li, Xiaodi Tan, and Xiao Lin. "Non-interferometric phase retrieval for collinear phase-modulated holographic data storage." Optical Review 27, no. 5 (August 19, 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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Dissertations / Theses on the topic "Storage retrieval system"

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Park, Jae Young. "Performance measures for carousel storage/retrieval system." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/24528.

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Eaglesham, Mark A. "Automated storage and retrieval system design report." Master's thesis, Virginia Tech, 1995. http://hdl.handle.net/10919/43535.

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This report describes the design and operation of an Automated Storage and Retrieval System (AS/RS) to serve the Flexible Manufacturing and Assembly System (FMAS) in the Manufacturing Systems Laboratory at Virginia Tech. The system requirements of the AS/RS, justification of design choices, and the proposed modes of operating the system are described. The AS/RS was designed to automatically move material on pallets between the storage racks in the laboratory to the FMAS conveyor interface. The system was designed and built, and has been tested to perform the desired operating functions. The scope of this project was limited to designing and installing the hardware component of the AS/RS, and testing it to ensure that it will satisfy the system requirements of the FMAS. The educational objective of the project is to enable fully automated control of all cell activities via the FMAS Computer Network.
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Quiroz, Marco Antonio. "Simulation of a microload automated storage/retrieval system." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/24574.

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Lawrence, Terry. "Control of an automated storage and retrieval system." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-01262010-020309/.

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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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Taraszewski, Stephen A. "Understanding Knowledge Storage/Retrieval System Success: An Analytic Network Process Perspective." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1493926537562139.

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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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Guner, Kani Kerim. "Mpeg-7 Compliant Ordbms Based Image Storage And Retrieval System." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1260247/index.pdf.

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There is an accelerating demand to access and work over the visual content of documents. Because of the insufficiency of text-based techniques for storing this data, content-based image retrieval (CBIR) systems have become a promising field. Due this fact, in this study a CBIR system is implemented that is Mpeg-7 compliant and ORDBMS based. The database contains images and their content summaries that are parsed from XML files. The summaries describe their dominant colors, color histograms, color spaces and labels, in order to be compliant with Mpeg-7. The query process requires only the summary not the image itself. Software implementation of the system is based on JSP and servlet technologies using Oracle database and Tomcat web server. It is shown that the usage of these tools in the proposed architecture brings security, portability, and speed.
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Scharfstein, Daniel Oscar. "Analytical performance measures for the miniload automated storage/retrieval system." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/25192.

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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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Books on the topic "Storage retrieval system"

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Zabidin, Zaini Amri. Image storage and retrieval in a relational database system. London: University of East London, 1996.

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Spelter, Henry. Northeast economic data and retrieval system. Madison, WI (One Gifford Pinchot Drive, Madison, WI 53705-2398): U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1993.

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J, Schoenborn Barry, ed. Storage area networks: Designing and implementing a mass storage system. Upper Saddle River, N.J: Prentice Hall PTR, 2001.

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Multimedia information retrieval. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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Cheng, Antonio S. A robust distributed storage system for large information retrieval applications. Ottawa: National Library of Canada, 1998.

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Qurʼanic text: Toward a retrieval system. Herndon, Va: International Institute of Islamic Thought, 1996.

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

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Luisa, Sapino Maria, ed. Data management for multimedia retrieval. Cambridge: Cambridge University Press, 2010.

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Swanson, E. Burton. Information system implementation: Bridging the gap between design and utilization. Homewood, Ill: Irwin, 1988.

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Fowkes, Richard S. Human Factors in Mining Search System. Washington, DC: U.S. Dept. of the Interior, 1989.

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Book chapters on the topic "Storage retrieval system"

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Gong, Fengguang, Wenting Huang, Hao Luo, and Hailong Zhu. "DNFStore:A Distributed Netflow Storage System Supports Fast Retrieval." In Web Technologies and Applications, 158–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11119-3_15.

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Ekren, Banu Yetkin, and Sunderesh Sesharanga Heragu. "A New Technology For Unit-Load Automated Storage System: Autonomous Vehicle Storage and Retrieval System." In Warehousing in the Global Supply Chain, 285–339. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2274-6_12.

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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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Zhang, Sai-peng, Ning Zhao, and Yin-fan Zhao. "Universal Simulation Model of Autonomous Vehicle Storage & Retrieval System." In Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014, 325–30. Paris: Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-102-4_67.

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Constantopoulos, P., E. Lutz, P. Savino, and Y. Yeorgaroudakis. "Multimedia Document Storage, Classification and Retrieval: Integrating the MULTOS System." In Esprit ’89, 819–36. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1063-8_60.

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Barbato, Michele, Alberto Ceselli, and Marco Premoli. "Evaluating Automated Storage and Retrieval System Policies with Simulation and Optimization." In AIRO Springer Series, 127–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34960-8_12.

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Bruckmann, Tobias, Christopher Reichert, and Hongqian Ji. "Energy Consumption Reduction of a Cable-Driven Storage and Retrieval System." In Advances in Robot Kinematics 2018, 383–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93188-3_44.

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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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Jimenez, Jose-Fernando, Andrés-Camilo Rincón, Daniel-Rolando Rodríguez, and Yenny Alexandra Paredes Astudillo. "A Hybrid Control Architecture for an Automated Storage and Retrieval System." In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 30–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80906-5_3.

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Yang, Runmin, Jingjing Ma, Shu Zhang, Yu Zheng, Lusheng Wang, and Daming Zhu. "mzMD: A New Storage and Retrieval System for Mass Spectrometry Data." In Intelligent Computing Theories and Application, 77–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84532-2_8.

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Conference papers on the topic "Storage retrieval system"

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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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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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Wen, Jun, Xinglu Liu, and Peng Yang. "Stochastic Storage/retrieval Scheduling Considering Shuttle Failure in Multi-shuttle Automated Storage and Retrieval System." In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607306.

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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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Igwe, Selwyn O., and Adel S. Elmaghraby. "Medical image storage system for content-based retrieval." In 2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2010. http://dx.doi.org/10.1109/isspit.2010.5711750.

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Zhao, Li, Bo Zhang, and Jiang Li. "Secure cloud storage system based on ciphertext retrieval." In 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2020. http://dx.doi.org/10.1109/icbaie49996.2020.00032.

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Yang, Xiangyang, and Shaomin Zhou. "Compact 3D optical data storage and retrieval system." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Francis T. S. Yu. SPIE, 1995. http://dx.doi.org/10.1117/12.216999.

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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 intralogistics development is on energy-saving solutions as part of the ongoing climate change debate. Together with the rising energy costs, this paves the way for radical new concepts which go beyond the lightweight construction of conventional storage retrieval machines. Recently, a huge research project started to realize an alternative approach for a storage retrieval machine system. This approach uses a parallel wire robot system to move the goods to be stored to the desired position. The system is extremely lightweight and therefore, fast motions are possible while the required energy is comparably low. Therefore, cycle times for the transport of the goods can be drastically reduced which is crucial in this application. The paper presented here describes both design concepts which were already presented, as well as optimized geometries which are superior in terms of workspace coverage and stiffness. First simulation results are shown and discussed with a focus on the potential of the system for precise loading and unloading of containers. Besides that, the overall mechatronic system design is introduced.
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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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Lu, Songfeng, and Abdulruhman I. Ahmed Abomakhelb. "Secure Cloud Storage and Quick Keyword Based Retrieval System." In 2017 International Conference on Computing Intelligence and Information System (CIIS). IEEE, 2017. http://dx.doi.org/10.1109/ciis.2017.67.

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Reports on the topic "Storage retrieval system"

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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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Clark, L. L., and R. S. Myers. MRS (monitored retrievable storage) Systems Study Task 1 report: Waste management system reliability analysis. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/6224634.

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Cobble, C. Transportation impacts on the Tennessee highway system proposed monitored retrievable storage. Office of Scientific and Technical Information (OSTI), December 1985. http://dx.doi.org/10.2172/5594174.

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Nelson, T., E. Russell, G. L. Johnson, R. Morissette, D. Stahl, L. LaMonica, and G. Hertel. Yucca Mountain Project waste package design for MRS [Monitored Retrievable Storage] system studies. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/137467.

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Cobble, C. Transportation impacts on the Tennessee highway system proposed monitored retrievable storage. Final report. Office of Scientific and Technical Information (OSTI), December 1985. http://dx.doi.org/10.2172/10139471.

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Wood, T. W., S. M. Short, M. G. Woodruff, M. K. Altenhofen, and C. A. MacKay. MRS (monitored retrievable storage) systems study Task G report: The role and functions of surface storage of radioactive material in the federal waste management system. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/6055485.

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Brentlinger, L. A., S. Gupta, A. M. Plummer, L. A. Smith, and S. Tzemos. MRS systems study, Task F: Transportation impacts of a monitored retrievable storage facility. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/5716382.

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Smith, R. I., P. M. Daling, and D. W. Faletti. Analysis of radiation doses from operation of postulated commercial spent fuel transportation systems: Analysis of a system containing a monitored retrievable storage facility. Addendum 1. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10143493.

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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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