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Gotowe bibliografie tematyczne / Information storage and retrieval systems / Artykuły w czasopismach

Artykuły w czasopismach na temat „Information storage and retrieval systems”

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Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 10 marca 2023

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1

Azubuike, Abraham A., i Jackson S. Umoh. "Computerized information storage and retrieval systems". International Library Review 20, nr 1 (styczeń 1988): 101–10. http://dx.doi.org/10.1016/0020-7837(88)90046-5.

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2

Korfhage, Robert. "Book review: information storage and retrieval systems". XRDS: Crossroads, The ACM Magazine for Students 6, nr 5 (15.07.2000): 4. http://dx.doi.org/10.1145/345107.345115.

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Yang, Heecheol, Wonjae Shin i Jungwoo Lee. "Private Information Retrieval for Secure Distributed Storage Systems". IEEE Transactions on Information Forensics and Security 13, nr 12 (grudzień 2018): 2953–64. http://dx.doi.org/10.1109/tifs.2018.2833050.

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Arunarani, Ar, i D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases". International Journal of Intelligent Information Technologies 14, nr 1 (styczeń 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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5

Park, Laurence A. F., i Kotagiri Ramamohanarao. "Efficient storage and retrieval of probabilistic latent semantic information for information retrieval". VLDB Journal 18, nr 1 (28.02.2008): 141–55. http://dx.doi.org/10.1007/s00778-008-0093-2.

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Tian, Chao, Hua Sun i Jun Chen. "A Shannon-Theoretic Approach to the Storage–Retrieval Trade-Off in PIR Systems". Information 14, nr 1 (11.01.2023): 44. http://dx.doi.org/10.3390/info14010044.

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We consider the storage–retrieval rate trade-off in private information retrieval (PIR) systems using a Shannon-theoretic approach. Our focus is mostly on the canonical two-message two-database case, for which a coding scheme based on random codebook generation and the binning technique is proposed. This coding scheme reveals a hidden connection between PIR and the classic multiple description source coding problem. We first show that when the retrieval rate is kept optimal, the proposed non-linear scheme can achieve better performance over any linear scheme. Moreover, a non-trivial storage-retrieval rate trade-off can be achieved beyond space-sharing between this extreme point and the other optimal extreme point, achieved by the retrieve-everything strategy. We further show that with a method akin to the expurgation technique, one can extract a zero-error PIR code from the random code. Outer bounds are also studied and compared to establish the superiority of the non-linear codes over linear codes.

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7

Guo, Tao, Ruida Zhou i Chao Tian. "New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems". IEEE Journal on Selected Areas in Information Theory 2, nr 1 (marzec 2021): 403–14. http://dx.doi.org/10.1109/jsait.2021.3053217.

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Kovalcik, Justin, i Mike Villalobos. "Automated Storage & Retrieval System". Information Technology and Libraries 38, nr 4 (16.12.2019): 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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9

Mitev, Nathalie N. "Information Storage and Retrieval Systems: Origin, Development and Applications". Journal of Information Technology 4, nr 4 (grudzień 1989): 242–43. http://dx.doi.org/10.1057/jit.1989.39.

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Ellis, D. "Information storage and retrieval systems: Origin, development and applications". International Journal of Information Management 10, nr 2 (czerwiec 1990): 157–58. http://dx.doi.org/10.1016/0268-4012(90)90011-g.

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Travis, Irene. "From "Storage and Retrieval Systems" to "Search Engines": Text Retrieval in Evolution". Bulletin of the American Society for Information Science and Technology 24, nr 4 (31.01.2005): 6. http://dx.doi.org/10.1002/bult.88.

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Riad, Khaled, i Lishan Ke. "Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval". Wireless Communications and Mobile Computing 2018 (18.11.2018): 1–8. http://dx.doi.org/10.1155/2018/5452463.

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The fast growth of Internet-of-Things (IoT) strategies has actually presented the generation of huge quantities of information. There should exist a method to conveniently gather, save, refine, and also provide such information. On the other hand, IoT data is sensitive and private information; it must not be available to potential attackers. We propose a robust scheme to guarantee both secure IoT data storage and retrieval from the untrusted cloud servers. The proposed scheme is based on Private Information Retrieval (PIR). It stores the data onto different servers and retrieves the requested data slice without disclosing its identity. In our scheme, the information is encrypted before sending to the cloud servers. It is also divided into slices of a specific size class. The experimental analysis on many different configurations supported efficiency and the efficacy of the proposed scheme, which demonstrated compatibility and exceptional performance.

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13

Wei, Yi-Peng, Batuhan Arasli, Karim Banawan i Sennur Ulukus. "The Capacity of Private Information Retrieval from Decentralized Uncoded Caching Databases". Information 10, nr 12 (28.11.2019): 372. http://dx.doi.org/10.3390/info10120372.

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We consider the private information retrieval (PIR) problem from decentralized uncoded caching databases. There are two phases in our problem setting, a caching phase, and a retrieval phase. In the caching phase, a data center containing all the K files, where each file is of size L bits, and several databases with storage size constraint μ K L bits exist in the system. Each database independently chooses μ K L bits out of the total K L bits from the data center to cache through the same probability distribution in a decentralized manner. In the retrieval phase, a user (retriever) accesses N databases in addition to the data center, and wishes to retrieve a desired file privately. We characterize the optimal normalized download cost to be D * = ∑ n = 1 N + 1 N n - 1 μ n - 1 ( 1 - μ ) N + 1 - n 1 + 1 n + ⋯ + 1 n K - 1 . We show that uniform and random caching scheme which is originally proposed for decentralized coded caching by Maddah-Ali and Niesen, along with Sun and Jafar retrieval scheme which is originally proposed for PIR from replicated databases surprisingly results in the lowest normalized download cost. This is the decentralized counterpart of the recent result of Attia, Kumar, and Tandon for the centralized case. The converse proof contains several ingredients such as interference lower bound, induction lemma, replacing queries and answering string random variables with the content of distributed databases, the nature of decentralized uncoded caching databases, and bit marginalization of joint caching distributions.

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14

Kiskani, Mohsen Karimzadeh, i Hamid R. Sadjadpour. "Secure and Private Information Retrieval (SAPIR) in Cloud Storage Systems". IEEE Transactions on Vehicular Technology 67, nr 12 (grudzień 2018): 12302–12. http://dx.doi.org/10.1109/tvt.2018.2876683.

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15

Shirato, Linda, Sarah Cogan i Sandra Yee. "The impact of an automated storage and retrieval system on public services". Reference Services Review 29, nr 3 (1.09.2001): 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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16

Sun, Hua, i Syed Ali Jafar. "Multiround Private Information Retrieval: Capacity and Storage Overhead". IEEE Transactions on Information Theory 64, nr 8 (sierpień 2018): 5743–54. http://dx.doi.org/10.1109/tit.2018.2789426.

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17

Tian, Chao. "On the Storage Cost of Private Information Retrieval". IEEE Transactions on Information Theory 66, nr 12 (grudzień 2020): 7539–49. http://dx.doi.org/10.1109/tit.2020.3015818.

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18

Tajeddine, Razane, Oliver W. Gnilke i Salim El Rouayheb. "Private Information Retrieval From MDS Coded Data in Distributed Storage Systems". IEEE Transactions on Information Theory 64, nr 11 (listopad 2018): 7081–93. http://dx.doi.org/10.1109/tit.2018.2815607.

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19

Mitev, Nathalie N. "Book Review: Information Storage and Retrieval Systems: Origin, Development and Applications". Journal of Information Technology 4, nr 4 (grudzień 1989): 242–43. http://dx.doi.org/10.1177/026839628900400408.

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20

Pillay, Karan Ravindran, i Omkar Upendra Khadilkar. "The Scalable Image Retrieval Systems and Applications". International Journal of Engineering and Computer Science 7, ``11 (13.11.2018): 24406–8. http://dx.doi.org/10.18535/ijecs/v7i11.03.

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Advances in information storage and image acquisition technologies have enabled the creation of enormous image datasets. during this situation, it's necessary to develop applicable data systems to with efficiency manage these collections. the most typical approaches use the supposed Content-Based Image Retrieval (CBIR) systems. Basically, these systems attempt to retrieve pictures like a user-defined specification or pattern (e.g., form sketch, image example). Their goal is to support image retrieval supported content properties (e.g., shape, color, texture), typically encoded into feature vectors. one among the most benefits of the CBIR approach is that the chance of AN automatic retrieval method, rather than the standard keyword-based approach, thattypically needs terribly toilsome and long previous annotation of info pictures. The CBIR technology has been utilized in many applications like fingerprint identification, variety data systems, digital libraries, crime bar, medicine, historical analysis, among others.

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21

Wheeler, William J. "Book Review: A History of Information Storage and Retrieval". Library Resources & Technical Services 48, nr 1 (1.01.2004): 87–88. http://dx.doi.org/10.5860/lrts.48n1.87.

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22

Sieverts, E. G., M. Hofstede, Ph H. Haak, P. Nieuwenhuysen, G. A. M. Scheepsma, L. Veeger i G. C. Vis. "Software for information storage and retrieval tested, evaluated and compared Part II — Classical retrieval systems". Electronic Library 9, nr 6 (czerwiec 1991): 301–16. http://dx.doi.org/10.1108/eb045091.

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23

Bergman, Ofer, Steve Whittaker i Yaron Frishman. "Let’s get personal: the little nudge that improves document retrieval in the Cloud". Journal of Documentation 75, nr 2 (6.03.2019): 379–96. http://dx.doi.org/10.1108/jd-06-2018-0098.

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Purpose State-of-the-art cloud applications are problematic for collaborative document management; their current design does not encourage active personal folder categorization. Cloud applications such as Google Drive and Microsoft’s OneDrive store documents automatically, so at no point are users directed to categorize them by placing them in folders. To encourage active categorization and promote effective retrieval of cloud documents, the authors designed an add-on “nudge” called Personal Organizer which prompts Google Drive users to categorize by storing cloud documents in personal folders. The add-on prompt is triggered when users attempt to close uncategorized or unnamed documents. The purpose of this paper is to test whether using the Personal Organizer add-on leads participants to actively store their documents in folders that they personally created, and whether this promotes more successful and efficient retrieval. Design/methodology/approach To test the add-on, the authors conducted a pretest-manipulation-post-test intervention study with 34 participants lasting over three months. In both tests, participants were asked to retrieve personal documents taken from their own “Recents” list to improve ecological validity. Findings Using our add-on doubled the percentage of documents that were actively stored in folders. Additionally, using personally created folders substantially improved retrieval success while decreasing retrieval time. Originality/value Implementing our findings can improve document storage and retrieval for millions of users of collaborative cloud storage. The authors discuss broader theoretical implications concerning the role of active organization for retrieval in collaborative repositories, as well as design implications.

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24

Minhas-Khan, Aamir, Morteza Ghafar-Zadeh, Tina Shaffaf, Saghi Forouhi, Anthony Scime, Sebastian Magierowski i Ebrahim Ghafar-Zadeh. "UV-Vis Spectrophotometric Analysis of DNA Retrieval for DNA Storage Applications". Actuators 10, nr 10 (24.09.2021): 246. http://dx.doi.org/10.3390/act10100246.

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Informational Deoxyribonucleic Acid (iDNA) has gained the attention of many researchers and pioneer companies for the development of novel storage systems for the long-term and high-density storing of information. This research focuses on the physical storage of iDNA strands to address some of the current challenges by evaluating the accuracy of the process of iDNA retrieval from the surface after the dehydration process. For this aim, a UV-Vis spectrophotometric technique was used to measure the concentration of the DNA samples. Although spectroscopy has been widely employed for the evaluation of DNA concentration and contamination in a solution, it has not been used to investigate dry-state DNA, which is one of the preferred storage formats for the long-term retention of information. These results demonstrate that the UV-Vis spectrophotometric technique can be used to accurately measure dry-state DNA before the retrieval and its residues after the DNA retrieval process. This paper further examines the storage/retrieval process by investigating the relationship between the storage time and the amount of retrieved DNA or the DNA residue left on various surfaces. Based on the experimental results demonstrated and discussed in this paper, UV-Vis spectrophotometry can be used for monitoring dry-state DNA with a high accuracy larger than 98%. Moreover, these results reveal that the hydrophilicity and hydrophobicity of the surface do not significantly affect DNA retrieval over a one-month time period.

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Shirazi, Ehsan, i Mohammad Zolghadr. "An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems". Applied System Innovation 4, nr 2 (11.06.2021): 38. http://dx.doi.org/10.3390/asi4020038.

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This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage system; (ii) the existence of only one empty cell in our system is sufficient to retrieve an item; and (iii) our algorithm never ends in deadlocks. The main feature of our algorithm is to prefer three moves to five moves in the process of moving the seized empty cell toward the optimal side of the requested item. The conventional view in the literature assumes that increasing the number of empty cells always reduces the number of movements required for retrieving items; however, our simulation results show that depending on the size of the puzzle and the number of the requested items, increasing empty cells might make the retrieval process more complicated.

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26

Volk, Daniel. "On the Phase Transition of Hopfield Networks — Another Monte Carlo Study". International Journal of Modern Physics C 09, nr 05 (lipiec 1998): 693–700. http://dx.doi.org/10.1142/s0129183198000595.

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A Hopfield-type neural network has content addressable memory which emerges from its collective properties. I reinvestigate the controversial question of its critical storage capacity at zero temperature. To locate the discontinuous transition from good retrieval to bad retrieval in infinite systems the decreasing average quality of retrieved information is traced until it falls below a threshold. The cutoff points found for different system sizes are extrapolated towards infinity and yield αc=0.143±0.002.

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Gerhold, Henry, Kim Steiner i C. J. Sacksteder. "Management Information Systems for Urban Trees". Arboriculture & Urban Forestry 13, nr 10 (1.10.1987): 243–49. http://dx.doi.org/10.48044/jauf.1987.051.

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The concept and applications of computerized information systems for the management of urban trees are reviewed. Among their uses are landscape planning, choosing species to be planted, organizing work on trees, departmental planning and evaluation, and public relations. Five types of data required for these purposes pertain to the location of trees, tree characteristics, site characteristics, actions recommended, and work completed. Methods for handling data are reviewed including collection, processing, storage retrieval, and updating. Computer equipment and software options are discussed, particularly microcomputers. Advice is offered on installing a management information system for urban trees and for using it effectively.

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Haslam, Michaelyn. "The Lied Library Automated Storage and Retrieval (LASR) Unit". Library Hi Tech 23, nr 3 (wrzesień 2005): 306–12. http://dx.doi.org/10.1108/07378830510621720.

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Han, Yan. "Cloud storage for digital preservation: optimal uses of Amazon S3 and Glacier". Library Hi Tech 33, nr 2 (15.06.2015): 261–71. http://dx.doi.org/10.1108/lht-12-2014-0118.

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Purpose – The purpose of this paper is to use cloud storage in digital preservation by analyzing the pricing and data retrieval models. The author recommends strategies to minimize the costs and believes cloud storage is worthy of serious consideration. Design/methodology/approach – Few articles have been published to show the uses of cloud storage in libraries. The cost is the main concern. An overview of cloud storage pricing shows a price drop once every one or one-and-a-half years. The author emphasize the data transfer-out costs and demonstrate a case study. Comparisons and analysis of S3 and Glacier have been conducted to show the differences in retrieval and costs. Findings – Cloud storage solutions like Glacier can be very attractive for long-term digital preservation if data can be operated within the provider’s same data zone and data transfer-out can be minimized. Practical implications – Institutions can benefit from cloud storage by understanding the cost models and data retrieval models. Multiple strategies are suggested to minimize the costs. Originality/value – The paper is intended to bridge the gap of uses of cloud storage. Cloud storage pricing especially data transfer-out pricing charts are presented to show the price drops over the past eight years. Costs and analysis of storing and retrieving data in Amazon S3 and Glacier are discussed in details. Comparisons of S3 and Glacier show that Glacier has uniqueness and advantages over other cloud storage solutions. Finally strategies are suggested to minimize the costs of using cloud storage. The analysis shows that cloud storage can be very useful in digital preservation.

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Ohe, K., T. Sakurai, T. Nagase, S. Kaihara i C. Wang. "Object-oriented Analysis and Design of an ECG Storage and Retrieval System Integrated with an HIS". Methods of Information in Medicine 35, nr 01 (styczeń 1996): 35–40. http://dx.doi.org/10.1055/s-0038-1634636.

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AbstractFor a hospital information system, object-oriented methodology plays an increasingly important role, especially for the management of digitized data, e.g., the electrocardiogram, electroencephalogram, electromyogram, spirogram, X-ray, CT and histopathological images, which are not yet computerized in most hospitals. As a first step in an object-oriented approach to hospital information management and storing medical data in an object-oriented database, we connected electrocardiographs to a hospital network and established the integration of ECG storage and retrieval systems with a hospital information system. In this paper, the object-oriented analysis and design of the ECG storage and retrieval systems is reported.

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Abburu, Sunitha, i Nitant Dube. "Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data". International Journal on Semantic Web and Information Systems 12, nr 2 (kwiecień 2016): 53–75. http://dx.doi.org/10.4018/ijswis.2016040103.

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Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite data classification. The efficiency of the methodology is been tested by taking the Kalpana satellite data from MOSDAC and weather ontology. This achieves concept based retrieval of satellite data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based satellite data classification, storage and retrieval.

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32

Ping, Yuan, Wei Song, Zhili Zhang, Weiping Wang i Baocang Wang. "A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data". Information 11, nr 8 (12.08.2020): 394. http://dx.doi.org/10.3390/info11080394.

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With the rapid development of cloud computing, massive data are transferred to cloud servers for storage and management savings. For privacy concerns, data should be encrypted before being uploaded. In the encrypted-domain (ED), however, many data computing methods working in the plain-domain are no longer applicable. Data retrieval has become a significant obstacle to cloud storage services. To break through this limitation, we propose a multi-keyword searchable encryption scheme by introducing probability trapdoors. Firstly, a keywords probability trapdoor is established to ensure that the scheme can resist indistinguishable attacks. Based on the keywords trapdoor, we present the keywords vector to make the scheme realize multi-keyword search in the process of data retrieval in the ED. Both security and performance analysis confirm the advantages of the proposed scheme in terms of search functionality and complexity.

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Deutsch, E. S. "A Review of Some Electronic Text-Document Handling, Storage and Retrieval Systems". Journal of Information Technology 1, nr 2 (czerwiec 1986): 39–45. http://dx.doi.org/10.1177/026839628600100209.

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This paper investigates some of the currently available optical disk storage and retrieval systems, image manipulation systems and OCR systems. Future developments are presented and an attempt at outlining a longer term trend is made. The main conclusions of the paper are as follows: 1. Optical disk systems which are currently available are costly and are accompanied by excessive software and hardware capabilities which might be beyond the needs of the straightforward document storage and retrieval application. A tailor-made system to suit a specific application might be the route to follow provided read-only and multiple access operations are required and the optical system has a definite overall performance advantage over-microform. 2. In general, the document handling times of both the scanners and the printers of optical systems present a constraint on their continued rapid operation. 3. For general applications it might be advisable to wait for at least a year or two by which time erasable disk media should be available and some degree of disk standardization will have evolved. Costs however could still be a factor at that time. 4. The office-supplies industry is not expecting optical systems to have an appreciable effect on the ‘paperless office’ before 1990. 5. Image manipulation systems currently available are too generalized, slow and require excessive computer storage. Their range of performance is somewhat limited. Should such a system be required, it would be best to develop application-specific software taking advantage of computer configuration.

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Wei, Yi-Peng, i Sennur Ulukus. "The Capacity of Private Information Retrieval With Private Side Information Under Storage Constraints". IEEE Transactions on Information Theory 66, nr 4 (kwiecień 2020): 2023–31. http://dx.doi.org/10.1109/tit.2019.2953883.

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Nieuwenhuysen, Paul. "Computerised storage and retrieval of structured text information: CDS/ISIS Version". Program 25, nr 1 (styczeń 1991): 1–18. http://dx.doi.org/10.1108/eb047073.

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Ma, Yung-Cheng, Chung-Ping Chung i Tien-Fu Chen. "Load and storage balanced posting file partitioning for parallel information retrieval". Journal of Systems and Software 84, nr 5 (maj 2011): 864–84. http://dx.doi.org/10.1016/j.jss.2011.01.028.

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Rexwhite Enakrire, Tega, i E. Emmanuel Baro. "Patterns of Information Storage and Retrieval in University Libraries in Nigeria". Library Hi Tech News 25, nr 1 (25.01.2008): 19–26. http://dx.doi.org/10.1108/07419050810877526.

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Deutsch, E. S. "A Review of Some Electronic Text-Document Handling, Storage and Retrieval Systems". Journal of Information Technology 1, nr 2 (czerwiec 1986): 39–45. http://dx.doi.org/10.1057/jit.1986.22.

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Tajeddine, Razane, Oliver W. Gnilke, David Karpuk, Ragnar Freij-Hollanti i Camilla Hollanti. "Private Information Retrieval From Coded Storage Systems With Colluding, Byzantine, and Unresponsive Servers". IEEE Transactions on Information Theory 65, nr 6 (czerwiec 2019): 3898–906. http://dx.doi.org/10.1109/tit.2018.2890285.

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Pozzi, María. "Btmex". Terminology 3, nr 1 (1.01.1996): 111–24. http://dx.doi.org/10.1075/term.3.1.06poz.

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Term banks of recent creation are characterised by being user-friendly and by providing their users with new features that facilitate the information-retrieval operation, thus making them more efficient. This paper describes BTMEX, the Term Bank of Mexico, as one of these systems. Although it shares with most term banks the storage of the same basic units of information, it offers a wide range of possibilities to retrieve this information, making it one of the most flexible term banks available.

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Chen, Li, Zhen Zhang, Jianjun Wu, Xiang Wei i Wenyuan Bai. "Dynamic Retrieval Model of Quantitative Data of Power Grid Resources Based on 3D Geographic Information Systems (GIS)". Journal of Nanoelectronics and Optoelectronics 17, nr 2 (1.02.2022): 344–50. http://dx.doi.org/10.1166/jno.2022.3204.

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In order to improve the efficiency of the quantitative data retrieval of power grid resources, a dynamic retrieval model of the quantitative data of power grid resources based on a three-dimensional GIS system is designed. First, the retrieval model architecture is designed based on the 3D GIS system, which is mainly composed of application architecture, technical architecture, data architecture and physical architecture. The technical architecture includes core technologies such as 3D GIS engine, index storage and retrieval applications. Secondly, the real-time daemon mode in the distributed computing method is used to establish a two-level dynamic index and store all kinds of data. Based on the dynamic index, a dynamic retrieval model is constructed by combining the parallel computing unit and the distributed coordination service unit. Finally, the Cirl-Skyline retrieval algorithm under the Map-Reduce parallel framework is used to realize the dynamic retrieval of the quantitative data of power grid resources. The performance test results show that the designed model can effectively improve retrieval efficiency on the basis of ensuring high-precision retrieval results, and can meet the needs of dynamic retrieval of massive quantitative data.

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Hessler, David. "InfoStation: A Low‐Cost Electronic Document Storage, Retrieval, and Transmission System". Library Hi Tech 5, nr 1 (styczeń 1987): 81–86. http://dx.doi.org/10.1108/eb047682.

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Chou, Shih-Wei. "Knowledge creation: absorptive capacity, organizational mechanisms, and knowledge storage/retrieval capabilities". Journal of Information Science 31, nr 6 (grudzień 2005): 453–65. http://dx.doi.org/10.1177/0165551505057005.

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Kanet, John J., i Richard Gonzalo Ramirez. "Optimal stock picking decisions in automatic storage and retrieval systems". Omega 14, nr 3 (styczeń 1986): 239–44. http://dx.doi.org/10.1016/0305-0483(86)90043-5.

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Abburu, Sunitha, i Suresh Babu Golla. "Ontology Storage Models and Tools: An Authentic Survey". Journal of Intelligent Systems 25, nr 4 (1.10.2016): 539–53. http://dx.doi.org/10.1515/jisys-2014-0167.

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AbstractOntology is a formal, explicit specification of a shared conceptualization. Ontology provides domain vocabulary, domain knowledge, common understanding, shareability, information interoperability, reusability, concept hierarchy, and relationships that support semantic information retrieval. Ontology improves performance of the system by addressing interoperability issues due to semantic and syntactic heterogeneity. Vast numbers of application domain experts are using ontologies in diverse applications. Use of effective and efficient ontology storage system results improved performance in applications and enables semantic information retrieval. Many prominent researchers and software agencies have proposed and developed several ontology storage methods and tools with various features. The choice of a specific storage model/tool always depend on the specific purpose of the application and the nature of features that are available in the storage model/tool to be utilized in the specific applications. The familiarity of various ontology storage models and tools with the respective features helps user to choose an appropriate storage structure aiming at high-performance applications. The current research work is a comprehensively authentic study carryout out on various ontology storage models and tools with their respective features, which are very essential for optimum performance.

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Attia, Mohamed Adel, Deepak Kumar i Ravi Tandon. "The Capacity of Private Information Retrieval From Uncoded Storage Constrained Databases". IEEE Transactions on Information Theory 66, nr 11 (listopad 2020): 6617–34. http://dx.doi.org/10.1109/tit.2020.3023016.

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Xie, Run, Chanlian He, Dongqing Xie, Chongzhi Gao i Xiaojun Zhang. "A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage". Security and Communication Networks 2018 (6.06.2018): 1–7. http://dx.doi.org/10.1155/2018/7254305.

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With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.

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Kountz, John. "Automated storage and retrieval (AS/R) Systems of the past: Why did they fail?" Library Hi Tech 8, nr 3 (marzec 1990): 87–91. http://dx.doi.org/10.1108/eb047802.

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Ai, Qingyao. "Neural generative models and representation learning for information retrieval". ACM SIGIR Forum 53, nr 2 (grudzień 2019): 97. http://dx.doi.org/10.1145/3458553.3458565.

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Information Retrieval (IR) concerns about the structure, analysis, organization, storage, and retrieval of information. Among different retrieval models proposed in the past decades, generative retrieval models, especially those under the statistical probabilistic framework, are one of the most popular techniques that have been widely applied to Information Retrieval problems. While they are famous for their well-grounded theory and good empirical performance in text retrieval, their applications in IR are often limited by their complexity and low extendability in the modeling of high-dimensional information. Recently, advances in deep learning techniques provide new opportunities for representation learning and generative models for information retrieval. In contrast to statistical models, neural models have much more flexibility because they model information and data correlation in latent spaces without explicitly relying on any prior knowledge. Previous studies on pattern recognition and natural language processing have shown that semantically meaningful representations of text, images, and many types of information can be acquired with neural models through supervised or unsupervised training. Nonetheless, the effectiveness of neural models for information retrieval is mostly unexplored. In this thesis, we study how to develop new generative models and representation learning frameworks with neural models for information retrieval. Specifically, our contributions include three main components: (1) Theoretical Analysis : We present the first theoretical analysis and adaptation of existing neural embedding models for ad-hoc retrieval tasks; (2) Design Practice : Based on our experience and knowledge, we show how to design an embedding-based neural generative model for practical information retrieval tasks such as personalized product search; And (3) Generic Framework : We further generalize our proposed neural generative framework for complicated heterogeneous information retrieval scenarios that concern text, images, knowledge entities, and their relationships. Empirical results show that the proposed neural generative framework can effectively learn information representations and construct retrieval models that outperform the state-of-the-art systems in a variety of IR tasks.

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Rahmawati, Yuli. "Digital Preservation of Photo Journalism (Case Study of the Kompas Daily)". Record and Library Journal 1, nr 2 (2.01.2017): 183. http://dx.doi.org/10.20473/rlj.v1i2.1170.

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Newspaper provides many information from politics, economics, cultures, and sports for society. Newspaper reports important events in the world. Besides the news, there also some pictures portraying those events. So readers will easilly to see what happen visually. According to the journalistic concept, photos has comply as a reference source. Kompas daily, firstly published on 1965, and published many historical photos both paper and digital format. The digitize process is done by kompas information center, through scanning, indexing, and syncronizing. Two most important issues are standardization of metadata and integrated retrieval systems. Standarization of metadata was design based on publishing standard, IIM and was modified with IPTC news codes. Information retrieval systems was built by inserting information about publication. This system connecting photo creating data, storage systems, and retrieval systems. For kompas daily, the availability if digital object such as photo can trigger the innitiatives of re-publishing historical momments in thematical rubrics. Digitize will give benefits for information disemination.

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