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Journal articles on the topic 'Indexed data compression'

Author: Grafiati

Published: 10 March 2023

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1

Kaneiwa, Ken, and Koji Fujiwara. "The Compression of Indexed Data and Fast Search for Large RDF Graphs." Transactions of the Japanese Society for Artificial Intelligence 33, no. 2 (2018): E—H43_1–10. http://dx.doi.org/10.1527/tjsai.e-h43.

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M.K., Bouza. "Analysis and modification of graphic data compression algorithms." Artificial Intelligence 25, no. 4 (2020): 32–40. http://dx.doi.org/10.15407/jai2020.04.032.

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The article examines the algorithms for JPEG and JPEG-2000 compression of various graphic images. The main steps of the operation of both algorithms are given, their advantages and disadvantages are noted. The main differences between JPEG and JPEG-2000 are analyzed. It is noted that the JPEG-2000 algorithm allows re-moving visually unpleasant effects. This makes it possible to highlight important areas of the image and improve the quality of their compression. The features of each step of the algorithms are considered and the difficulties of their implementation are compared. The effectivenes

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Senthilkumar, Radha, Gomathi Nandagopal, and Daphne Ronald. "QRFXFreeze: Queryable Compressor for RFX." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/864750.

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The verbose nature of XML has been mulled over again and again and many compression techniques for XML data have been excogitated over the years. Some of the techniques incorporate support for querying the XML database in its compressed format while others have to be decompressed before they can be queried. XML compression in which querying is directly supported instantaneously with no compromise over time is forced to compromise over space. In this paper, we propose the compressor, QRFXFreeze, which not only reduces the space of storage but also supports efficient querying. The compressor doe

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Hernández-Illera, Antonio, Miguel A. Martínez-Prieto, Javier D. Fernández, and Antonio Fariña. "iHDT++: improving HDT for SPARQL triple pattern resolution." Journal of Intelligent & Fuzzy Systems 39, no. 2 (2020): 2249–61. http://dx.doi.org/10.3233/jifs-179888.

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RDF self-indexes compress the RDF collection and provide efficient access to the data without a previous decompression (via the so-called SPARQL triple patterns). HDT is one of the reference solutions in this scenario, with several applications to lower the barrier of both publication and consumption of Big Semantic Data. However, the simple design of HDT takes a compromise position between compression effectiveness and retrieval speed. In particular, it supports scan and subject-based queries, but it requires additional indexes to resolve predicate and object-based SPARQL triple patterns. A r

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Moneta, G. L., A. D. Nicoloff, and J. M. Porter. "Compression Treatment of Chronic Venous Ulceration: A Review." Phlebology: The Journal of Venous Disease 15, no. 3-4 (2000): 162–68. http://dx.doi.org/10.1177/026835550001500316.

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Objective: To review the recent medical literature with regard to the use of compressive therapy in healing and preventing the recurrence of venous ulceration. Methods: Searches of Medline and Embase medical literature databases. Appropriate non-indexed journals and textbooks were also reviewed. Synthesis: Elastic compression therapy is regarded as the ‘gold standard’ treatment for venous ulceration. The benefits of elastic compression therapy in the treatment of venous ulceration may be mediated through favourable alterations in venous haemodynamics, micro-circulatory haemodynamics and/or imp

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Selivanova, Irina V. "Limitations of Applying the Data Compression Method to the Classification of Abstracts of Publications Indexed in Scopus." Vestnik NSU. Series: Information Technologies 18, no. 3 (2020): 57–68. http://dx.doi.org/10.25205/1818-7900-2020-18-3-57-68.

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The paper describes the limitations of applying the method of classification of scientific texts based on data compression to all categories indicated in the ASJC classification used in the Scopus bibliographic database. It is shown that the automatic generation of learning samples for each category is a rather time-consuming process, and in some cases is impossible due to the restriction on data upload installed in Scopus and the lack of category names in the Scopus Search API. Another reason is that in many subject areas there are completely no journals and, accordingly, publications that ha

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Shibuya, Yoshihiro, and Matteo Comin. "Indexing k-mers in linear space for quality value compression." Journal of Bioinformatics and Computational Biology 17, no. 05 (2019): 1940011. http://dx.doi.org/10.1142/s0219720019400110.

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Many bioinformatics tools heavily rely on [Formula: see text]-mer dictionaries to describe the composition of sequences and allow for faster reference-free algorithms or look-ups. Unfortunately, naive [Formula: see text]-mer dictionaries are very memory-inefficient, requiring very large amount of storage space to save each [Formula: see text]-mer. This problem is generally worsened by the necessity of an index for fast queries. In this work, we discuss how to build an indexed linear reference containing a set of input [Formula: see text]-mers and its application to the compression of quality s

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Gupta, Shweta, Sunita Yadav, and Rajesh Prasad. "Document Retrieval using Efficient Indexing Techniques." International Journal of Business Analytics 3, no. 4 (2016): 64–82. http://dx.doi.org/10.4018/ijban.2016100104.

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Document retrieval plays a crucial role in retrieving relevant documents. Relevancy depends upon the occurrences of query keywords in a document. Several documents include a similar key terms and hence they need to be indexed. Most of the indexing techniques are either based on inverted index or full-text index. Inverted index create lists and support word-based pattern queries. While full-text index handle queries comprise of any sequence of characters rather than just words. Problems arise when text cannot be separated as words in some western languages. Also, there are difficulties in space

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Navarro, Gonzalo. "Indexing Highly Repetitive String Collections, Part I." ACM Computing Surveys 54, no. 2 (2021): 1–31. http://dx.doi.org/10.1145/3434399.

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Two decades ago, a breakthrough in indexing string collections made it possible to represent them within their compressed space while at the same time offering indexed search functionalities. As this new technology permeated through applications like bioinformatics, the string collections experienced a growth that outperforms Moore’s Law and challenges our ability to handle them even in compressed form. It turns out, fortunately, that many of these rapidly growing string collections are highly repetitive, so that their information content is orders of magnitude lower than their plain size. The

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Gupta, Pranjal, Amine Mhedhbi, and Semih Salihoglu. "Columnar storage and list-based processing for graph database management systems." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2491–504. http://dx.doi.org/10.14778/3476249.3476297.

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We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs). Similar to column-oriented RDBMSs, GDBMSs support read-heavy analytical workloads that however have fundamentally different data access patterns than traditional analytical workloads. We first derive a set of desiderata for optimizing storage and query processors of GDBMS based on their access patterns. We then present the design of columnar storage, compression, and query processing techniques based on these desiderata. In addition to showing direct int

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Ono, S. "High-pressure phase transformation in MnCO3: a synchrotron XRD study." Mineralogical Magazine 71, no. 1 (2006): 105–11. http://dx.doi.org/10.1180/minmag.2007.071.1.105.

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AbstractThe high-pressure behaviour of manganese carbonate was investigated by in situ synchrotron X-ray powder diffraction up to 54 GPa with a laser-heated diamond anvil cell. A phase transition from rhodochrosite to a new structure form was observed at 50 GPa after laser heating. The diffraction pattern of the new high-pressure form was reasonably indexed with an orthorhombic unit-cell with a = 5.361 A, b = 8.591 A and c = 9.743 Å. The pressure-induced phase transition implies a unit-cell volume reduction of ∼5%. This result does not support the direct formation of diamond by dissociation of

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Navarro, Gonzalo. "Indexing Highly Repetitive String Collections, Part II." ACM Computing Surveys 54, no. 2 (2021): 1–32. http://dx.doi.org/10.1145/3432999.

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Two decades ago, a breakthrough in indexing string collections made it possible to represent them within their compressed space while at the same time offering indexed search functionalities. As this new technology permeated through applications like bioinformatics, the string collections experienced a growth that outperforms Moore’s Law and challenges our ability of handling them even in compressed form. It turns out, fortunately, that many of these rapidly growing string collections are highly repetitive, so that their information content is orders of magnitude lower than their plain size. T

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GALLÉ, MATTHIAS, PIERRE PETERLONGO, and FRANÇOIS COSTE. "IN-PLACE UPDATE OF SUFFIX ARRAY WHILE RECODING WORDS." International Journal of Foundations of Computer Science 20, no. 06 (2009): 1025–45. http://dx.doi.org/10.1142/s0129054109007029.

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Motivated by grammatical inference and data compression applications, we propose an algorithm to update a suffix array while in the indexed text some occurrences of a given word are substituted by a new character. Compared to other published index update methods, the problem addressed here may require the modification of a large number of distinct positions over the original text. The proposed algorithm uses the specific internal order of suffix arrays in order to update simultaneously groups of indices, and ensures that only indices to be modified are visited. Experiments confirm a significan

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Liu, Yuansheng, Zuguo Yu, Marcel E. Dinger, and Jinyan Li. "Index suffix–prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression." Bioinformatics 35, no. 12 (2018): 2066–74. http://dx.doi.org/10.1093/bioinformatics/bty936.

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Abstract Motivation Advanced high-throughput sequencing technologies have produced massive amount of reads data, and algorithms have been specially designed to contract the size of these datasets for efficient storage and transmission. Reordering reads with regard to their positions in de novo assembled contigs or in explicit reference sequences has been proven to be one of the most effective reads compression approach. As there is usually no good prior knowledge about the reference sequence, current focus is on the novel construction of de novo assembled contigs. Results We introduce a new de

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Lin, Feng-Fei, Chao-Hui Lin, Bin Chen, and Ke Zheng. "Combination Prophylaxis versus Pharmacologic Prophylaxis Alone for Preventing Deep Vein Thrombosis in Hip Surgery." HIP International 26, no. 6 (2016): 561–66. http://dx.doi.org/10.5301/hipint.5000384.

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Purpose To evaluate the comparative efficacy and safety of combination pharmacologic and graduated compression stockings (GCS) prophylaxis versus pharmacological prophylaxis alone for preventing deep vein thrombosis (DVT) and pulmonary embolism (PE) in hip surgery. Methods Relevant publications indexed in PubMed, Cochrane Library, Embase, Web of Science, Wanfang Data, CNKI and Sinomed (CBM) were identified. Appropriate articles identified from the reference lists of the above searches were also reviewed. Results Significant differences in the rate of distal DVT were observed between combinatio

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Öztekin, Ertekin. "ANN based investigations of reliabilities of the models for concrete under triaxial compression." Engineering Computations 33, no. 7 (2016): 2019–44. http://dx.doi.org/10.1108/ec-03-2015-0065.

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Purpose A lot of triaxial compressive models for different concrete types and different concrete strength classes were proposed to be used in structural analyses. The existence of so many models creates conflicts and confusions during the selection of the models. In this study, reliability analyses were carried out to prevent such conflicts and confusions and to determine the most reliable model for normal- and high-strength concrete (NSC and HSC) under combined triaxial compressions. The paper aims to discuss these issues. Design/methodology/approach An analytical model was proposed to estima

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Siboni, Shachar, and Asaf Cohen. "Anomaly Detection for Individual Sequences with Applications in Identifying Malicious Tools." Entropy 22, no. 6 (2020): 649. http://dx.doi.org/10.3390/e22060649.

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Anomaly detection refers to the problem of identifying abnormal behaviour within a set of measurements. In many cases, one has some statistical model for normal data, and wishes to identify whether new data fit the model or not. However, in others, while there are normal data to learn from, there is no statistical model for this data, and there is no structured parameter set to estimate. Thus, one is forced to assume an individual sequences setup, where there is no given model or any guarantee that such a model exists. In this work, we propose a universal anomaly detection algorithm for one-di

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Riznyk, V. V. "FORMALIZATION CODING METHODS OF INFORMATION UNDER TOROIDAL COORDINATE SYSTEMS." Radio Electronics, Computer Science, Control, no. 2 (July 7, 2021): 144–53. http://dx.doi.org/10.15588/1607-3274-2021-2-15.

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Contents. Coding and processing large information content actualizes the problem of formalization of interdependence between information parameters of vector data coding systems on a single mathematical platform. Objective. The formalization of relationships between information parameters of vector data coding systems in the optimized basis of toroidal coordinate systems with the achievement of a favorable compromise between contradictory goals. Method. The method involves the establishing harmonious mutual penetration of symmetry and asymmetry as the remarkable property of real space, which a

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Han, Bo, and Bolang Li. "Lossless Compression of Data Tables in Mobile Devices by Using Co-clustering." International Journal of Computers Communications & Control 11, no. 6 (2016): 776. http://dx.doi.org/10.15837/ijccc.2016.6.2554.

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Data tables have been widely used for storage of a collection of related records in a structured format in many mobile applications. The lossless compression of data tables not only brings benefits for storage, but also reduces network transmission latencies and energy costs in batteries. In this paper, we propose a novel lossless compression approach by combining co-clustering and information coding theory. It reorders table columns and rows simultaneously for shaping homogeneous blocks and further optimizes alignment within a block to expose redundancy, such that standard lossless encoders c

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Al-Bahadili, Hussein, and Saif Al-Saab. "Development of a Novel Compressed Index-Query Web Search Engine Model." International Journal of Information Technology and Web Engineering 6, no. 3 (2011): 39–56. http://dx.doi.org/10.4018/jitwe.2011070103.

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In this paper, the authors present a description of a new Web search engine model, the compressed index-query (CIQ) Web search engine model. This model incorporates two bit-level compression layers implemented at the back-end processor (server) side, one layer resides after the indexer acting as a second compression layer to generate a double compressed index (index compressor), and the second layer resides after the query parser for query compression (query compressor) to enable bit-level compressed index-query search. The data compression algorithm used in this model is the Hamming codes-bas

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Et. al., Dr J. Preetha,. "An Improved Framework for Bitmap Indexes and their Use in Data Warehouse Optimization." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1513–20. http://dx.doi.org/10.17762/turcomat.v12i2.1389.

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Compression technique is basically used to compress the size of table or reduce the storage area. Oracle already gives this feature for the table compression as well as for the index compression. when index is created on particular column of a table then it contain some space, which require some storage or disk space by this technique we can save our disk space because in industry the company have to purchase the disk space according to the size of the their data and pay according to their disk space. To utilize this disk space for useful records data rather than wasting it. In this paper used

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Ferrada, H., T. Gagie, T. Hirvola, and S. J. Puglisi. "Hybrid indexes for repetitive datasets." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2016 (2014): 20130137. http://dx.doi.org/10.1098/rsta.2013.0137.

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Advances in DNA sequencing mean that databases of thousands of human genomes will soon be commonplace. In this paper, we introduce a simple technique for reducing the size of conventional indexes on such highly repetitive texts. Given upper bounds on pattern lengths and edit distances, we pre-process the text with the lossless data compression algorithm LZ77 to obtain a filtered text, for which we store a conventional index. Later, given a query, we find all matches in the filtered text, then use their positions and the structure of the LZ77 parse to find all matches in the original text. Our

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Devillers, P., C. Saix, and M. S. El Youssoufi. "Loi de comportement thermo-hydromécanique pour les sols non saturés : identification in situ des indices de compression thermique." Canadian Geotechnical Journal 33, no. 2 (1996): 250–59. http://dx.doi.org/10.1139/t96-004.

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This paper deals with thermo-hydromechanical behaviour of nonsaturated soils. The constitutive relationship presented herein allows for the prediction of the settlement or swell of an unsaturated soil under nonisothermal oedometric conditions. Mechanical, hydraulic, and thermal compression indexes are considered for stress, capillary pressure, and temperature variables, respectively. The implementation of the relationship in a prediction scheme requires preliminary characterization of these indexes. The stressstrain and water volume change relationships are first presented from semiempirical

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Wang, Rongjie, Junyi Li, Yang Bai, Tianyi Zang, and Yadong Wang. "BdBG: a bucket-based method for compressing genome sequencing data with dynamic de Bruijn graphs." PeerJ 6 (October 19, 2018): e5611. http://dx.doi.org/10.7717/peerj.5611.

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Dramatic increases in data produced by next-generation sequencing (NGS) technologies demand data compression tools for saving storage space. However, effective and efficient data compression for genome sequencing data has remained an unresolved challenge in NGS data studies. In this paper, we propose a novel alignment-free and reference-free compression method, BdBG, which is the first to compress genome sequencing data with dynamic de Bruijn graphs based on the data after bucketing. Compared with existing de Bruijn graph methods, BdBG only stored a list of bucket indexes and bifurcations for

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Zhao, Yakun, Jianhong Chen, Shan Yang, and Zhe Liu. "Game Theory and an Improved Maximum Entropy-Attribute Measure Interval Model for Predicting Rockburst Intensity." Mathematics 10, no. 15 (2022): 2551. http://dx.doi.org/10.3390/math10152551.

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To improve the accuracy of predicting rockburst intensity, game theory and an improved maximum entropy-attribute measure interval model were established. First, by studying the mechanism of rockburst and typical cases, rock uniaxial compressive strength σc, rock compression-tension ratio σc/σt, rock shear compression ratio σθ/σc, rock elastic deformation coefficient Wet, and rock integrity coefficient were selected as indexes for predicting rockburst intensity. Second, by combining the maximum entropy principle with the attribute measure interval and using the minimum distance Di−k between sam

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Yan, Wen Yi, and Hong Yuan Liu. "Influence of Z-Pinning on the Buckling of Composite Laminates under Edge-Wise Compression." Key Engineering Materials 312 (June 2006): 127–32. http://dx.doi.org/10.4028/www.scientific.net/kem.312.127.

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Z-pinning is a newly developed technique to enhance the strength of composite laminates in the thickness direction. Recent experimental and theoretical studies have shown that z-pins significantly improve mode I and mode II fracture toughness. In practice, buckling accompanying delamination is a typical failure mode in laminated composite structures. For a complete understanding of the z-pinning technique towards improvements of the overall mechanical properties of laminated composites, a numerical model is developed in this paper to investigate the influence of z-pins on the buckling composit

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Maarala, Altti Ilari, Ossi Arasalo, Daniel Valenzuela, Veli Mäkinen, and Keijo Heljanko. "Distributed hybrid-indexing of compressed pan-genomes for scalable and fast sequence alignment." PLOS ONE 16, no. 8 (2021): e0255260. http://dx.doi.org/10.1371/journal.pone.0255260.

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Computational pan-genomics utilizes information from multiple individual genomes in large-scale comparative analysis. Genetic variation between case-controls, ethnic groups, or species can be discovered thoroughly using pan-genomes of such subpopulations. Whole-genome sequencing (WGS) data volumes are growing rapidly, making genomic data compression and indexing methods very important. Despite current space-efficient repetitive sequence compression and indexing methods, the deployed compression methods are often sequential, computationally time-consuming, and do not provide efficient sequence

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Asnaoui, Khalid El. "Image Compression Based on Block SVD Power Method." Journal of Intelligent Systems 29, no. 1 (2019): 1345–59. http://dx.doi.org/10.1515/jisys-2018-0034.

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Abstract In recent years, the important and fast growth in the development and demand of multimedia products is contributing to an insufficiency in the bandwidth of devices and network storage memory. Consequently, the theory of data compression becomes more significant for reducing data redundancy in order to allow more transfer and storage of data. In this context, this paper addresses the problem of lossy image compression. Indeed, this new proposed method is based on the block singular value decomposition (SVD) power method that overcomes the disadvantages of MATLAB’s SVD function in order

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Delaunay, Xavier, Aurélie Courtois, and Flavien Gouillon. "Evaluation of lossless and lossy algorithms for the compression of scientific datasets in netCDF-4 or HDF5 files." Geoscientific Model Development 12, no. 9 (2019): 4099–113. http://dx.doi.org/10.5194/gmd-12-4099-2019.

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Abstract. The increasing volume of scientific datasets requires the use of compression to reduce data storage and transmission costs, especially for the oceanographic or meteorological datasets generated by Earth observation mission ground segments. These data are mostly produced in netCDF files. Indeed, the netCDF-4/HDF5 file formats are widely used throughout the global scientific community because of the useful features they offer. HDF5 in particular offers a dynamically loaded filter plugin so that users can write compression/decompression filters, for example, and process the data before

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Zhu, Yongjun, Wenbo Liu, Qian Shen, Yin Wu, and Han Bao. "JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing." Mathematical Problems in Engineering 2020 (July 11, 2020): 1–17. http://dx.doi.org/10.1155/2020/2873830.

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This paper proposes a JPEG lifting algorithm based on adaptive block compressed sensing (ABCS), which solves the fusion between the ABCS algorithm for 1-dimension vector data processing and the JPEG compression algorithm for 2-dimension image data processing and improves the compression rate of the same quality image in comparison with the existing JPEG-like image compression algorithms. Specifically, mean information entropy and multifeature saliency indexes are used to provide a basis for adaptive blocking and observing, respectively, joint model and curve fitting are adopted for bit rate co

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Ji, Shi Jun. "Research on Compression Methods for ASCII STL File." Advanced Materials Research 108-111 (May 2010): 1254–58. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.1254.

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Two new types of ASCII format STL file are presented under lossless data compression and lossy implicit data compression respectively. In these new format file, a vertex with three coordinates which has degree n is stored only once rather than n times and three vertexes of a facet are saved by their indexes instead of by their three coordinates (x, y, z). As a result, the storage space of the vertex reduces to about 1/3 of its original space. It is very convenience for the file transmitting of network manufacturing. Moreover, the reading, writing and pretreatment time of data file are shortene

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Rosa Righi, Rodrigo da, Vinicius F. Rodrigues, Cristiano A. Costa, and Roberto Q. Gomes. "Exploiting Data-Parallelism on Multicore and SMT Systems for Implementing the Fractal Image Compressing Problem." Computer and Information Science 10, no. 1 (2016): 34. http://dx.doi.org/10.5539/cis.v10n1p34.

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This paper presents a parallel modeling of a lossy image compression method based on the fractal theory and its evaluation over two versions of dual-core processors: with and without simultaneous multithreading (SMT) support. The idea is to observe the speedup on both configurations when changing application parameters and the number of threads at operating system level. Our target application is particularly relevant in the Big Data era. Huge amounts of data often need to be sent over low/medium bandwidth networks, and/or to be saved on devices with limited store capacity, motivating efficien

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Zhang, Yi, Ephraim Suhir, and Yuan Xu. "Effective Young's modulus of carbon nanofiber array." Journal of Materials Research 21, no. 11 (2006): 2948–54. http://dx.doi.org/10.1557/jmr.2006.0363.

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We developed a methodology for the evaluation of the effective Young's modulus (EYM) of the vertically aligned carbon nanofibers array (CNFA). The carbon nanofibers array is treated in this study as a continuous structural element, and, for this reason, the determined EYM might be appreciably different (actually, lower) than the Young's modulus (YM) of the material of an individual carbon nanotube or a nanofiber. The developed methodology is based on the application of a compressive load onto the carbon nanofibers array, so that each individual carbon nanofiber experiences axial compression an

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Zhu, Yongjun, Wenbo Liu, and Qian Shen. "Adaptive Algorithm on Block-Compressive Sensing and Noisy Data Estimation." Electronics 8, no. 7 (2019): 753. http://dx.doi.org/10.3390/electronics8070753.

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In this paper, an altered adaptive algorithm on block-compressive sensing (BCS) is developed by using saliency and error analysis. A phenomenon has been observed that the performance of BCS can be improved by means of rational block and uneven sampling ratio as well as adopting error analysis in the process of reconstruction. The weighted mean information entropy is adopted as the basis for partitioning of BCS which results in a flexible block group. Furthermore, the synthetic feature (SF) based on local saliency and variance is introduced to step-less adaptive sampling that works well in dist

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Jiang, Juyu, Dong Wang, Xinping Han, and Shuai Di. "Relationship between Brittleness Index and Crack Initiation Stress Ratio for Different Rock Types." Advances in Civil Engineering 2020 (April 24, 2020): 1–12. http://dx.doi.org/10.1155/2020/8091895.

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Brittleness and crack initiation stress (σci) are important rock mechanical properties and intrinsically related to rock deformation and failure. We establish the relationship between σci and uniaxial tensile strength (σt) based on the Griffith stress criterion of brittle failure and introduce brittleness indexes B1–B4 based on the ratio of uniaxial compressive strength (σc) to σt. The crack initiation stress ratio (K) is defined as the ratio of σci to crack damage stress. The relationship between brittleness index and K is obtained from laboratory mechanics tests including uniaxial compressio

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Han, Jie, Tao Guo, Qiaoqiao Zhou, Wei Han, Bo Bai, and Gong Zhang. "Structural Entropy of the Stochastic Block Models." Entropy 24, no. 1 (2022): 81. http://dx.doi.org/10.3390/e24010081.

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With the rapid expansion of graphs and networks and the growing magnitude of data from all areas of science, effective treatment and compression schemes of context-dependent data is extremely desirable. A particularly interesting direction is to compress the data while keeping the “structural information” only and ignoring the concrete labelings. Under this direction, Choi and Szpankowski introduced the structures (unlabeled graphs) which allowed them to compute the structural entropy of the Erdős–Rényi random graph model. Moreover, they also provided an asymptotically optimal compression algo

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Wu, Yingjie, Kun Du, Chengqing Wu, Ming Tao, and Rui Zhao. "Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion." Materials 16, no. 3 (2023): 1244. http://dx.doi.org/10.3390/ma16031244.

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In this study, immersion experiments were conducted on the geopolymer mortar (GPM) by using artificial seawater, and the effects of alkali equivalent (AE) and waterglass modulus (WGM) on the resistance of geopolymer mortar (GPM) to seawater immersion were analyzed. The test subjected 300 specimens to 270 days of artificial seawater immersion and periodic performance tests. Alkali equivalent (AE) (3–15%) and waterglass modulus (WGM) (1.0–1.8) were employed as influencing factors, and the mass loss and uniaxial compressive strength (UCS) were used as the performance evaluation indexes, combined

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Shirai, Tatsuya, Hiroyuki Yamamoto, Miyuki Matsuo, et al. "Negative gravitropism of Ginkgo biloba: growth stress and reaction wood formation." Holzforschung 70, no. 3 (2016): 267–74. http://dx.doi.org/10.1515/hf-2015-0005.

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Abstract Ginkgo (Ginkgo biloba L.) forms thick, lignified secondary xylem in the cylindrical stem as in Pinales (commonly called conifers), although it has more phylogenetic affinity to Cycadales than to conifers. Ginkgo forms compression wood-like (CW-like) reaction wood (RW) in its inclined stem as it is the case in conifers. However, the distribution of growth stress is not yet investigated in the RW of ginkgo, and thus this tissue resulting from negative gravitropism is still waiting for closer consideration. The present study intended to fill this gap. It has been demonstrated that, indee

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Wu, Daoxiang, Lei Ye, Huahong Zhao, Leilei Wu, Jiacheng Guo, and Bin Ji. "Study on Correlation of Physical and Mechanical Properties Indexex of Cohesive Soil in Hilly and Plain Region along the Yangtze River in Anhui Province." Journal of Physics: Conference Series 2148, no. 1 (2022): 012019. http://dx.doi.org/10.1088/1742-6596/2148/1/012019.

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Abstract In this paper, a large number of geotechnical engineering survey data are collected in hilly and plain region along the Yangtze River in Anhui Province. Based on the statistical analysis and calculation of the experimental data of physical and mechanical properties of cohesive soils (the main quaternary soil layers in the area), the correlation between the liquidity index and water content and other physical and mechanical properties indexes are analyzed, and the fitting regression is carried out respectively. The results show that the liquidity index (IL)) and water content (w) are h

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Fokoué, Ernest. "A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining." Serdica Journal of Computing 8, no. 2 (2015): 111–36. http://dx.doi.org/10.55630/sjc.2014.8.111-136.

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Big data comes in various ways, types, shapes, forms and sizes.Indeed, almost all areas of science, technology, medicine, public health, economics, business, linguistics and social science are bombarded by ever increasing flows of data begging to be analyzed efficiently and effectively. Inthis paper, we propose a rough idea of a possible taxonomy of big data,along with some of the most commonly used tools for handling each particular category of bigness. The dimensionality p of the input space andthe sample size n are usually the main ingredients in the characterizationof data bigness. The spe

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Jia, Shanpo, Caoxuan Wen, Xiaofei Fu, Tuanhui Liu, and Zengqiang Xi. "A Caprock Evaluation Methodology for Underground Gas Storage in a Deep Depleted Gas Reservoir: A Case Study for the X9 Lithologic Trap of Langgu Sag, Bohai Bay Basin, China." Energies 15, no. 12 (2022): 4351. http://dx.doi.org/10.3390/en15124351.

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The evaluation of caprocks’ sealing capacity is exceedingly important for depleted gas reservoirs to be reconstructed into gas storage. In this paper, based on the physical sealing mechanism of caprock, four aspects of ten indexes of caprock quality evaluation were firstly selected, and the related classification standards were established. Secondly, based on the rock mechanical sealing mechanism, elastic and plastic indexes were selected to characterize the mechanical brittleness of caprock, and a brittleness evaluation method of caprock based on complete stress-strain curves was established.

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Ho Tong Minh, Dinh, and Yen-Nhi Ngo. "Compressed SAR Interferometry in the Big Data Era." Remote Sensing 14, no. 2 (2022): 390. http://dx.doi.org/10.3390/rs14020390.

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Modern Synthetic Aperture Radar (SAR) missions provide an unprecedented massive interferometric SAR (InSAR) time series. The processing of the Big InSAR Data is challenging for long-term monitoring. Indeed, as most deformation phenomena develop slowly, a strategy of a processing scheme can be worked on reduced volume data sets. This paper introduces a novel ComSAR algorithm based on a compression technique for reducing computational efforts while maintaining the performance robustly. The algorithm divides the massive data into many mini-stacks and then compresses them. The compressed estimator

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Han, Jianmin. "Texture Image Compression Algorithm Based on Self-Organizing Neural Network." Computational Intelligence and Neuroscience 2022 (April 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/4865808.

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With the rapid development of science and technology, human beings have gradually stepped into a brand-new digital era. Virtual reality technology has brought people an immersive experience. In order to enable users to get a better virtual reality experience, the pictures produced by virtual skillfully must be realistic enough and support users' real-time interaction. So interactive real-time photorealistic rendering becomes the focus of research. Texture mapping is a technology proposed to solve the contradiction between real time and reality. It has been widely studied and used since it was

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Glaysher, Michael A., Alma L. Moekotte, and Jamie Kelly. "Endoscopic sleeve gastroplasty: a modified technique with greater curvature compression sutures." Endoscopy International Open 07, no. 10 (2019): E1303—E1309. http://dx.doi.org/10.1055/a-0996-8089.

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Abstract Background Endoscopic sleeve gastroplasty (ESG) is rapidly becoming established as a safe and effective means of achieving substantial weight loss via the transoral route. New ESG suture patterns are emerging. Our aim was to investigate whether superior weight loss outcomes can be achieved by using a unique combination of longitudinal compression sutures and “U”-shaped sutures. Methods This is a retrospective review of prospectively collected data of all patients undergoing ESG by a single operator in a single UK center. Results Between January 2016 and December 2017, 32 patients (23

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Drijkoningen, Guy, Nihed el Allouche, Jan Thorbecke, and Gábor Bada. "Nongeometrically converted shear waves in marine streamer data." GEOPHYSICS 77, no. 6 (2012): P45—P56. http://dx.doi.org/10.1190/geo2012-0037.1.

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Under certain circumstances, marine streamer data contain nongeometrical shear body wave arrivals that can be used for imaging. These shear waves are generated via an evanescent compressional wave in the water and convert to propagating shear waves at the water bottom. They are called “nongeometrical” because the evanescent part in the water does not satisfy Snell’s law for real angles, but only for complex angles. The propagating shear waves then undergo reflection and refraction in the subsurface, and arrive at the receivers via an evanescent compressional wave. The required circumstances ar

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Martini, Maria G., and Chaminda T. E. R. Hewage. "Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX." International Journal of Telemedicine and Applications 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/127519.

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The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission s

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Liu, Yu-shan, Jian-yong Pang, and Wei-jing Yao. "Effects of High Temperature on Creep Behaviour of Glazed Hollow Bead Insulation Concrete." Materials 13, no. 17 (2020): 3658. http://dx.doi.org/10.3390/ma13173658.

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Glazed hollow bead insulation concrete (GHBC) presents a promising application prospect in terms of its light weight and superior fire resistance. However, only a few studies have focused on the creep behaviour of GHBC exposed to high temperatures. Therefore, in this study, the mechanism of high temperature on GHBC is analysed through a series of tests on uniaxial compression and multistage creep of GHBC, exposed from room temperature up to 800 °C. The results show a decrease in the weight and compressive strength of GHBC as the temperature rises. After 800 °C, the loss of weight and strength

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Meehan, Richard R., and S. J. Burns. "Modeling Cutting: Plastic Deformation of Polymer Samples Indented With a Wedge." Journal of Manufacturing Science and Engineering 129, no. 3 (2006): 477–84. http://dx.doi.org/10.1115/1.2716716.

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An experiment was designed to relate force to plastic deformation caused by a wedge indenting the edge surface of a polymer sample. The experiment reveals the primary phenomena observed in industrial converting processes of cutting and slitting of thin polymer films. The thin film was modeled using a polycarbonate rectangular block, which was indented with a metallic half-round wedge that represents the industrial cutter blades. The wedge radius and sample size were selected to scale to the ratio of slitting blade radius and industrial film thickness. A compression test frame impressed wedges

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Kortas, Manel, Oussama Habachi, Ammar Bouallegue, Vahid Meghdadi, Tahar Ezzedine, and Jean-Pierre Cances. "Robust Data Recovery in Wireless Sensor Network: A Learning-Based Matrix Completion Framework." Sensors 21, no. 3 (2021): 1016. http://dx.doi.org/10.3390/s21031016.

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In this paper, we are interested in the data gathering for Wireless Sensor Networks (WSNs). In this context, we assume that only some nodes are active in the network, and that these nodes are not transmitting all the time. On the other side, the inactive nodes are considered to be inexistent or idle for a long time period. Henceforth, the sink should be able to recover the entire data matrix whie using the few received measurements. To this end, we propose a novel technique that is based on the Matrix Completion (MC) methodology. Indeed, the considered compression pattern, which is composed of

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Richly, Keven, Rainer Schlosser, and Martin Boissier. "Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications." Proceedings of the VLDB Endowment 15, no. 13 (2022): 4079–92. http://dx.doi.org/10.14778/3565838.3565858.

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Based on the performance requirements of modern spatio-temporal data mining applications, in-memory database systems are often used to store and process the data. To efficiently utilize the scarce DRAM capacities, modern database systems support various tuning possibilities to reduce the memory footprint (e.g., data compression) or increase performance (e.g., additional indexes). However, the selection of cost and performance balancing configurations is challenging due to the vast number of possible setups consisting of mutually dependent individual decisions. In this paper, we introduce a nov

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