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Artículos de revistas sobre el tema "Information storage"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

BEAM, C. A. "Information Storage." Science 228, no. 4703 (1985): 1040. http://dx.doi.org/10.1126/science.3992244.

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2

Heber, Joerg. "Information storage." Nature Materials 6, no. 11 (2007): 807. http://dx.doi.org/10.1038/nmat2048.

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3

Maddox, John. "Quantum information storage." Nature 327, no. 6118 (1987): 97. http://dx.doi.org/10.1038/327097a0.

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4

Villacampa, Y., P. Sastre-Vázquez, J. A. Reyes, and F. García-Alonso. "INFORMATION STORAGE SYSTEM." Cybernetics and Systems 41, no. 4 (2010): 307–16. http://dx.doi.org/10.1080/01969721003778576.

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5

SANO, Masayuki. "Information storage media." Journal of Information Processing and Management 32, no. 5 (1989): 415–25. http://dx.doi.org/10.1241/johokanri.32.415.

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6

Labinsky, Alexander. "DECENTRALIZED INFORMATION STORAGE." MONITORING AND EXPERTISE IN SAFETY SYSTEM 2025, no. 1 (2025): 46–50. https://doi.org/10.61260/2304-0130-2025-1-46-50.

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The features and possibilities of decentralized information storage using blockchain technology, an algorithm for implementing a hash function designed to calculate a checksum used to maintain communication between data blocks in a distributed database providing decentralized information storage, are considered. The problems of distributed database blockchain technology, types of distributed database architectures based on blockchain, and areas of application of blockchain technology are considered. The cyclic redundancy code algorithm used to calculate a checksum based on input data and the i

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7

qizi, Kosimova Marjona Shakirjon. "APPLICATION OF CODING IN DATA TRANSMISSION AND INFORMATION STORAGE." American Journal of Applied Science and Technology 4, no. 6 (2024): 67–70. http://dx.doi.org/10.37547/ajast/volume04issue06-13.

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Coding theory plays a crucial role in modern data transmission and information storage systems, ensuring the efficient and reliable handling of digital information. This article explores the fundamental principles of coding theory, focusing on its applications in both data transmission and storage contexts. Beginning with an introduction to encoding and decoding techniques, the article delves into how various coding methods, such as error detection and correction codes, enhance data integrity during transmission. It further examines the implementation of coding in storage devices to safeguard

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8

Byszewski, P., E. Kowalska, M. Popławska, M. Łuczak, and Z. Klusek. "Molecules for information storage." Journal of Magnetism and Magnetic Materials 249, no. 3 (2002): 486–91. http://dx.doi.org/10.1016/s0304-8853(02)00475-4.

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9

KOSHLAND, D. E. "In Reply: Information Storage." Science 228, no. 4703 (1985): 1040. http://dx.doi.org/10.1126/science.228.4703.1040-a.

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10

Wylie, J. J., M. W. Bigrigg, J. D. Strunk, G. R. Ganger, H. Kiliccote, and P. K. Khosla. "Survivable information storage systems." Computer 33, no. 8 (2000): 61–68. http://dx.doi.org/10.1109/2.863969.

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11

Kovaliv, Myroslav, Serhii Yesimov, Sergey Petkov, Roman Koziar, and Svyatoslav Tsyuh. "Legal Regulation of Information Storage in Cloud Storage." Path of Science 9, no. 8 (2023): 1001–7. http://dx.doi.org/10.22178/pos.95-1.

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12

MIURA, YOSHIMASA. "Cutting edge of the Information Storage Technologies. Information Storage Technology for IT Era." Journal of the Institute of Electrical Engineers of Japan 122, no. 4 (2002): 216–18. http://dx.doi.org/10.1541/ieejjournal.122.216.

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13

S, Kannan. "Open-Source Cloud Storage Solution in Library and Information Centres." International Journal of Science and Research (IJSR) 13, no. 7 (2024): 220–22. http://dx.doi.org/10.21275/sr24704153411.

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14

Fukuzawa, Kenji, Mitsuo Hirata, Shigeo Nakamura, and Hiroshi Tani. "MoF-2 JSME-IIP DIVISION ACADEMIC ROADMAP ON INFORMATION STORAGE." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoF—2–1_—_MoF—2–2_. http://dx.doi.org/10.1299/jsmemipe.2015._mof-2-1_.

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15

Kobayashi, Tadashi. "Information storage medium and method of erasing information." Journal of the Acoustical Society of America 87, no. 5 (1990): 2278. http://dx.doi.org/10.1121/1.399108.

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16

MARCUM, Deanna B. "Future of information access. Storage of digital information." Journal of Information Processing and Management 39, no. 2 (1996): 91–100. http://dx.doi.org/10.1241/johokanri.39.91.

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17

Samavat, Mohammad, Thomas M. Bartol, Kristen M. Harris, and Terrence J. Sejnowski. "Synaptic Information Storage Capacity Measured With Information Theory." Neural Computation 36, no. 5 (2024): 781–802. http://dx.doi.org/10.1162/neco_a_01659.

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Abstract Variation in the strength of synapses can be quantified by measuring the anatomical properties of synapses. Quantifying precision of synaptic plasticity is fundamental to understanding information storage and retrieval in neural circuits. Synapses from the same axon onto the same dendrite have a common history of coactivation, making them ideal candidates for determining the precision of synaptic plasticity based on the similarity of their physical dimensions. Here, the precision and amount of information stored in synapse dimensions were quantified with Shannon information theory, ex

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18

Krishnan, R. "Amorpohous Materials in Information Storage." Key Engineering Materials 13-15 (January 1987): 863–73. http://dx.doi.org/10.4028/www.scientific.net/kem.13-15.863.

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19

Koshland, Daniel E. "Response : Information Storage." Science 228, no. 4703 (1985): 1040. http://dx.doi.org/10.1126/science.228.4703.1040.b.

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20

Bandić, Zvonimir Z., Dmitri Litvinov, and M. Rooks. "Nanostructured Materials in Information Storage." MRS Bulletin 33, no. 9 (2008): 831–37. http://dx.doi.org/10.1557/mrs2008.178.

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AbstractThe ever-increasing demand for information storage has pushed research and development of nonvolatile memories, particularly magnetic disk drives and silicon-based memories, to areal densities where bit sizes are approaching nanometer dimensions. At this level, material and device phenomena make further scaling increasingly difficult. The difficulties are illustrated in the examples of magnetic media and flash memory, such as thermal instability of sub-100-nm bits in magnetic memory and charge retention in flash memory, and solutions are discussed in the form of patterned media and cro

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21

Zemlyak, Maksim S., and Nadezhda B. Victorova. "DECOHERENCE-FREE STORAGE INFORMATION SPACE." RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, no. 2 (2020): 72–84. http://dx.doi.org/10.28995/2686-679x-2020-2-72-84.

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Quantum systems are of great interest in current realities. Quantum computers are not an alternative to the classic. Rather, they can be attributed to the class of devices specializing in a separate group of tasks. However, a key issue in the design of quantum computers is the issue of decoherence time. To combat that phenomenon, various methods of isolating a quantum system are being developed, including the use of extremely low temperatures and high vacuum. In addition, one of the ways to combat decoherence is to use dark states, due to the fact that a system of atoms in this state is not ab

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22

Chklovskii, D. B., B. W. Mel, and K. Svoboda. "Cortical rewiring and information storage." Nature 431, no. 7010 (2004): 782–88. http://dx.doi.org/10.1038/nature03012.

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23

Portoghese, Christine P. "SIRE: Information storage and searching." Electronic Library 3, no. 5 (1985): 314–16. http://dx.doi.org/10.1108/eb044670.

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24

MAIA, M. D. "INFORMATION STORAGE IN BLACK HOLES." International Journal of Modern Physics D 14, no. 12 (2005): 2251–55. http://dx.doi.org/10.1142/s0218271805007838.

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The information loss paradox for Schwarzschild black holes is examined, using the ADS/CFT correspondence extended to the M6(4, 2) bulk. It is found that the only option compatible with the preservation of the quantum unitarity is when a regular remnant region of the black hole survives to the black hole evaporation process, where information can be stored and eventually retrieved.

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25

Wang, Hu, Xiaofan Ji, Zachariah A. Page, and Jonathan L. Sessler. "Fluorescent materials-based information storage." Materials Chemistry Frontiers 4, no. 4 (2020): 1024–39. http://dx.doi.org/10.1039/c9qm00607a.

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Fluorescent materials-based information storage systems are characterised by attractive data security, stability, and stimuli responsive features. We summarise here, recent progress in the area of fluorescent materials-based information storage codes.

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26

MEHRING, M. "Aspects of molecular information storage." International Journal of Electronics 73, no. 5 (1992): 1073–83. http://dx.doi.org/10.1080/00207219208925772.

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27

Stucky, Robert Bruce. "Self-organized information storage system." Laboratory Automation & Information Management 33, no. 2 (1997): 152. http://dx.doi.org/10.1016/s1381-141x(97)80042-1.

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28

Chandler, Simon. "Tribology of Information Storage Devices." Tribology International 33, no. 9 (2000): 591. http://dx.doi.org/10.1016/s0301-679x(00)00132-8.

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29

Petford-Long, A. K., P. Shang, Y. G. Wang, and N. Owen. "Nanoscale materials for information storage." Microscopy and Microanalysis 8, S02 (2002): 296–97. http://dx.doi.org/10.1017/s1431927602100808.

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30

Chandler, Simon. "Tribology of Information Storage Devices." Tribology International 33, no. 5-6 (2000): 297. http://dx.doi.org/10.1016/s0301-679x(00)00055-4.

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31

Kopperman, Ralph. "On storage of topological information." Discrete Applied Mathematics 147, no. 2-3 (2005): 287–300. http://dx.doi.org/10.1016/j.dam.2004.09.016.

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32

Zhang, Zeping, and Zhihao Zhang. "DNA Information Storage and Cryptography System." Academic Journal of Science and Technology 10, no. 1 (2024): 243–49. http://dx.doi.org/10.54097/73ep7z05.

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With the development of information technology, the global data volume is growing exponentially. In order to alleviate the contradiction between massive data and traditional storage technology, people begin to seek for a new generation of storage media. As a carrier of genetic information, DNA has the characteristics of high information density, long storage life and low maintenance cost, which can effectively overcome the deficiency of traditional storage media. With the development of DNA synthesis and DNA sequencing technology, DNA data storage technology has attracted more and more attenti

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33

Adambaevich, Khabibullaev Hikmat. "ISSUES OF ENSURING INFORMATION SECURITY IN INFORMATION FACILITIES." European International Journal of Multidisciplinary Research and Management Studies 02, no. 10 (2022): 281–83. http://dx.doi.org/10.55640/eijmrms-02-10-52.

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In the process of globalization, that is, in today's information age, the issue of ensuring information security is gaining priority. Today, the issue of ensuring information security is becoming very important and urgent not only in the Internet network or any information system, but also in information facilities. In this article, the issues of ensuring information security in information facilities are considered on the example of safe storage of rare books in information-library institutions, and relevant suggestions and recommendations are developed.

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34

Hunter, P. "The new storage [business data storage management]." Information Professional 2, no. 6 (2005): 20–22. http://dx.doi.org/10.1049/inp:20050603.

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35

Wang, Shi Jie, Hao Sun, Hong Tang, and Shi Liang Wang. "Design of Storage Management Information System and Analysis of the Information Flow." Applied Mechanics and Materials 16-19 (October 2009): 1223–27. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1223.

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Storage management is the core of the material management. The design rules of storage management system are presented as such that the usability, reliability, progress, openness, data integrality and unity, and security must be ensured. Demand analysis is performed for the storage management system of Huachen Xinguang Engine Plant. The functions and the corresponding subsystems are scheduled. The configurations of data flow in supply management, stored. It took positive effect on raising the productivity.

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36

Zhang, Kai. "Research of Information Resource Storage Mode Based on Cloud Storage." Applied Mechanics and Materials 543-547 (March 2014): 2969–72. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2969.

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This paper introduces the present situation of library information resource storage. And SAN mode base on cloud storage is mainly studied. And then, the structure of the system based on SAN is put forward. In addition, it illustrates the principle of RAID5 and parity algorithm. At last, layered structure of cloud storage platform is introduced.

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37

Switzer, Jennifer, and Barath Raghavan. "Information batteries." ACM SIGEnergy Energy Informatics Review 1, no. 1 (2021): 1–11. http://dx.doi.org/10.1145/3508467.3508468.

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Coping with the intermittency of renewable power is a fundamental challenge, with load shifting and grid-scale storage as key responses. We propose Information Batteries (IB), in which energy is stored in the form of information---specifically, the results of completed computational tasks. Information Batteries thus provide storage through speculative load shifting, anticipating computation that will be performed in the future. We take a distributed systems perspective, and evaluate the extent to which an IB storage system can be made practical through augmentation of compiler toolchains, key-

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38

Coleman, David E. "Evolution of a Library: Information Storage to Information Use." Journal of Hospital Librarianship 17, no. 3 (2017): 201–8. http://dx.doi.org/10.1080/15323269.2017.1328569.

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39

Aoyagi, Seiichi. "Information processing apparatus, information processing method, and storage medium." Journal of the Acoustical Society of America 120, no. 1 (2006): 26. http://dx.doi.org/10.1121/1.2227697.

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40

Sidorko, Peter, and Linda Lee. "JURA: a collaborative solution to Hong Kong academic libraries storage challenge." Library Management 35, no. 1/2 (2014): 46–68. http://dx.doi.org/10.1108/lm-03-2013-0025.

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Purpose – The purpose of this paper is to discuss issues and concerns raised in a collaborative and cooperative central storage facility for Hong Kong academic libraries. Design/methodology/approach – The approach is to propose and to implement a joint storage business plan and a possibility of acting for others to consider similar storage facilities. Findings – Useful experiences have been gained while planning a central storage facility. Research limitations/implications – The proposed JURA project is for Hong Kong academic libraries. Practical implications – The sharing of JURA proposal to

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41

Plaksin, S. V., M. Ya Zhytnyk, R. Yu Levchenko, and S. Ya Ostapovska. "Methods of electrochemical energy storage control: classification and aspects of implementing." Технология и конструирование в электронной аппаратуре, no. 1-2 (2021): 39–48. http://dx.doi.org/10.15222/tkea2021.1-2.39.

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When an electrochemical energy storage is used as part of an energy system, the influence of external factors significantly changes its basic parameters: its available capacity decreases, while its internal resistance and self-discharge increase, which reduces the lifespan of the storage and disrupts the normal functioning of the energy system as a whole. Improving the performance of the energy storage is an urgent challenge, and one way to address it is to efficiently monitor the storage’s status. The purpose of this study was to increase the efficiency of using electrochemical energy storage

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42

Shadrin, Alexey A., Andrei Grigoriev, and Dmitri V. Parkhomchuk. "Positional Information Storage in Sequence Patterns." Computational Molecular Bioscience 03, no. 02 (2013): 18–26. http://dx.doi.org/10.4236/cmb.2013.32003.

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43

Krylov, Anna I., John Doyle, and Kang-Kuen Ni. "Quantum computing and quantum information storage." Physical Chemistry Chemical Physics 23, no. 11 (2021): 6341–43. http://dx.doi.org/10.1039/d1cp90024b.

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44

James, Ryan G., Korana Burke, and James P. Crutchfield. "MEASURING INFORMATION CREATION, DESTRUCTION, AND STORAGE." Information Processes, Systems and Technologies 3, no. 2 (2022): 5–9. http://dx.doi.org/10.52529/27821617_2022_3_2_05.

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45

Nieves, Oscar A., Matthew D. Arnold, Mikołaj K. Schmidt, Michael J. Steel, and Christopher G. Poulton. "Noise in Brillouin based information storage." Optics Express 29, no. 24 (2021): 39486. http://dx.doi.org/10.1364/oe.439926.

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46

Lu, Chih-Yuan, and Howard Kuan. "Nonvolatile semiconductor memory revolutionizing information storage." IEEE Nanotechnology Magazine 3, no. 4 (2009): 4–9. http://dx.doi.org/10.1109/mnano.2009.934861.

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47

Getz, Malcolm. "ELECTRONIC INFORMATION: Storage, Communication, and Access." Bottom Line 2, no. 3 (1989): 39–40. http://dx.doi.org/10.1108/eb025189.

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48

MIURA, Yoshimasa. "Information Storage for the Broadband Era." Journal of the Society of Mechanical Engineers 105, no. 998 (2002): 26–30. http://dx.doi.org/10.1299/jsmemag.105.998_26.

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49

Jehiel, Philippe, and Jakub Steiner. "Selective Sampling with Information-Storage Constraints." Economic Journal 130, no. 630 (2019): 1753–81. http://dx.doi.org/10.1093/ej/uez068.

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Abstract A memoryless agent can acquire arbitrarily many signals. After each signal observation, she either terminates and chooses an action, or she discards her observation and draws a new signal. By conditioning the probability of termination on the information collected, she controls the correlation between the payoff state and her terminal action. We provide an optimality condition for the emerging stochastic choice. The condition highlights the benefits of selective memory applied to the extracted signals. Implications—obtained in simple examples—include (i) confirmation bias, (ii) speed-

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50

Cavallini, M. "Information Storage Using Supramolecular Surface Patterns." Science 299, no. 5606 (2003): 531. http://dx.doi.org/10.1126/science.1078012.

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