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Journal articles on the topic 'Compressione dati'

Author: Grafiati

Published: 10 March 2023

Last updated: 19 July 2025

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1

Visocchi, M., M. Meglio, F. La Marca, and B. Cioni. "Esostosi ereditaria multipla e compressione cervicodorsale." Rivista di Neuroradiologia 9, no. 4 (1996): 501–3. http://dx.doi.org/10.1177/197140099600900424.

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L'esostosi multipla ereditaria o discondroplasia o condroplasia ereditaria deformante o aclasia diafisale è una malattia relativamente rara a carattere autosomico dominante a penetranza variabile. Nel presente studio, relativo ad un caso clinico giunto alla nostra osservazione, segnaliamo la peculiarità della localizzazione neurochirurgica (cervicodorsale) della malattia e suggeriamo, anche alla luce dei dati di letteratura, la strategia terapeutica più appropriata. La gravità della storia naturale, la possibilità di recidiva e la scarsa radiosensibilità, a nostro avviso stabiliscono la priori

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Severoni, Cecilia. "La sicurezza dell'aviazione civile e i limiti alla libertà di circolazione: riflessioni a seguito della pandemia da COVID-19." RIVISTA ITALIANA DI DIRITTO DEL TURISMO, no. 30 (September 2020): 148–84. http://dx.doi.org/10.3280/dt2020-030011.

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Il quadro normativo attuale in tema di sicurezza dell'aviazione civile è stato modificato in modo sostanziale dopo l'attacco alle torri gemelle e dispone un insieme di norme puntuali e dettagliate. Occorre tuttavia trovare un compromesso ragionevole tra l'obiettivo indicato della prevenzione, indagine, accertamento e repressione degli atti di terrorismo ed altri reati gravi e quello della protezione della libertà di circolazione e dei dati personali nel rispetto della vita privata degli interessati. In questa ottica la compressione del diritto alla protezione dei dati personali deve rispondere

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Cardinale, Antonio, and Francesco Paolo Calciano. "Insufficienza venosa cronica: epidemiologia, fisiopatologia e diagnosi." Cardiologia Ambulatoriale 29, no. 1 (2021): 41–53. http://dx.doi.org/10.17473/1971-6818-2021-1-6.

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La medicina dovrebbe essere un gioco di squadra, oggi sempre declamato ma poco realizzato. Andare al di là dell'individualismo, valido in ogni disciplina, lo è anche in ambito angiologico. La gestione della insufficienza venosa cronica (IVC) coinvolge diversi specialisti, dal medico di medicina generale (MMG), all’angiologo, al cardiologo, al nutrizionista, al ginecologo, al chirurgo vascolare per citarne alcuni. La prevalenza dell’IVC è elevata: un italiano su due è colpito da questa malattia. L’età media di chi la contrae è in genere sopra i 50 anni, e sono le donne a esserne maggiormente co

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Santos, Irineu de Oliveira. "Saggio sulla teoria di chi è Dio, la particella matrice e gli stami quantistici: nella formazione del tutto e dell'universo." Núcleo do Conhecimento 02, no. 09 (2021): 05–22. https://doi.org/10.32749/nucleodoconhecimento.com.br/fisica-it/chi-e-dio.

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Considerando che Dio non è nulla di assoluto, l'unico elemento eternamente presente, immutabile e neutro di qualsiasi equazione che può contenere tutto ciò che possiamo comprendere come dimensioni, particelle, onde, materia, energia, vita; dove senza questa forza l'universo e l'inverso non potrebbero mai avvenire, essendo una via unidirezionale, innegabile, questo saggio si propone di affrontare le considerazioni relative alla particella di Dio, nonché di descrivere questa particella, qui chiamata Particella Matrice e Stami quantistici (PM e EQ), discutendo il loro comportamento nello spazio,

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Mishra, Amit Kumar. "Versatile Video Coding (VVC) Standard: Overview and Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 2 (2019): 975–81. http://dx.doi.org/10.17762/turcomat.v10i2.13578.

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Information security includes picture and video compression and encryption since compressed data is more secure than uncompressed imagery. Another point is that handling data of smaller sizes is simple. Therefore, efficient, secure, and simple data transport methods are created through effective data compression technology. Consequently, there are two different sorts of compression algorithm techniques: lossy compressions and lossless compressions. Any type of data format, including text, audio, video, and picture files, may leverage these technologies. In this procedure, the Least Significant

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Shevchuk, Yury Vladimirovich. "Memory-efficient sensor data compression." Program Systems: Theory and Applications 13, no. 2 (2022): 35–63. http://dx.doi.org/10.25209/2079-3316-2022-13-2-35-63.

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We treat scalar data compression in sensor network nodes in streaming mode (compressing data points as they arrive, no pre-compression buffering). Several experimental algorithms based on linear predictive coding (LPC) combined with run length encoding (RLE) are considered. In entropy coding stage we evaluated (a) variable-length coding with dynamic prefixes generated with MTF-transform, (b) adaptive width binary coding, and (c) adaptive Golomb-Rice coding. We provide a comparison of known and experimental compression algorithms on 75 sensor data sources. Compression ratios achieved in the tes

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Sharath, R., Sinha Shivani, B.I Supreeth, Hebbar B.C. Varun, and B. Santhosh. "Distributed Data Compression using Cloud Computing Approach." Journal of Optical Communication Electronics 5, no. 2 (2019): 5–10. https://doi.org/10.5281/zenodo.2656008.

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<em>Storage and data trafficking have grown a great deal over the past decade. Therefore, there is a need to reduce the size of the data for better speed and proper utilization of the bandwidth. There are compressions that happen online as well as some happen statically. The online based compression is in greater demand, since an online platform is much easier and faster. Static methods have a requisition of the entire file to be present at the time of transmission, while online compressions don’t. Compressions make use of an algorithm to effectively shrink the data. Depending upon the s

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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2022.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2023.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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Xiao, Ling, Renfa Li, Juan Luo, and Zhu Xiao. "Energy-efficient recognition of human activity in body sensor networks via compressed classification." International Journal of Distributed Sensor Networks 12, no. 12 (2016): 155014771667966. http://dx.doi.org/10.1177/1550147716679668.

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Energy efficiency is an important challenge to broad deployment of wireless body sensor networks for long-term physical movement monitoring. Inspired by theories of sparse representation and compressed sensing, the power-aware compressive classification approach SRC-DRP (sparse representation–based classification with distributed random projection) for activity recognition is proposed, which integrates data compressing and classification. Random projection as a data compression tool is individually implemented on each sensor node to reduce the amount of data for transmission. Compressive class

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Bernstein, Herbert J., Alexei Soares, Kimberly Horvat, and Jean Jakoncic. "Massive Compression for High Data Rate Macromolecular Crystallography (HDRMX): Impact on Diffraction Data and Subsequent Structural Analysis." Structural Dynamics 12, no. 2_Supplement (2025): A147. https://doi.org/10.1063/4.0000456.

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New higher-count-rate, integrating, large area X-ray detectors with framing rates as high as 17,400 images per second are beginning to be available. Data from these detectors are always compressed losslessly, but systems may not keep up with these data rates, and the files may still be larger than seems necessary. We propose that such MX experiments will require lossy compression algorithms to keep up with data throughput and capacity for long-term storage, but note that some information may be lost. Indeed, one might employ dramatic lossy compression only for archiving of data after structure

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Ko, Yousun, Alex Chadwick, Daniel Bates, and Robert Mullins. "Lane Compression." ACM Transactions on Embedded Computing Systems 20, no. 2 (2021): 1–26. http://dx.doi.org/10.1145/3431815.

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This article presents Lane Compression, a lightweight lossless compression technique for machine learning that is based on a detailed study of the statistical properties of machine learning data. The proposed technique profiles machine learning data gathered ahead of run-time and partitions values bit-wise into different lanes with more distinctive statistical characteristics. Then the most appropriate compression technique is chosen for each lane out of a small number of low-cost compression techniques. Lane Compression’s compute and memory requirements are very low and yet it achieves a comp

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Saidhbi, Sheik. "An Intelligent Multimedia Data Encryption and Compression and Secure Data Transmission of Public Cloud." Asian Journal of Engineering and Applied Technology 8, no. 2 (2019): 37–40. http://dx.doi.org/10.51983/ajeat-2019.8.2.1141.

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Data compression is a method of reducing the size of the data file so that the file should take less disk space for storage. Compression of a file depends upon encoding of file. In lossless data compression algorithm there is no data loss while compressing a file, therefore confidential data can be reproduce if it is compressed using lossless data compression. Compression reduces the redundancy and if a compressed file is encrypted it is having a better security and faster transfer rate across the network than encrypting and transferring uncompressed file. Most of the computer applications rel

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Andreula, C., and I. Kambas. "Il dolore lombosacrale da ernie discali lombosacrali e patologia degenerativa correlata." Rivista di Neuroradiologia 15, no. 4 (2002): 421–30. http://dx.doi.org/10.1177/197140090201500411.

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La patogenesi del dolore lombo-sacrale è ancora motivo di discussione e potrebbe essere sostenuta non solo da fattori meccanici diretti di compressione del disco (protrusione o ernia) sul nervo con conseguente alterazione della guaina mielinica, ma anche da fattori meccanici indiretti generati da stasi venosa e conseguente ischemia delle radici particolarmente sensibili all'ipossia e da fattori infiammatori di tipo immunomediato e di tipo bioumorale legati al disco. La gestione del paziente lombosciatalgico affidata al chirurgo dopo il fallimento della terapia medica, conservativa e fisiatrica

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Budiman, Gelar, Andriyan Bayu Suksmono, and Donny Danudirdjo. "Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding." Applied Sciences 10, no. 12 (2020): 4338. http://dx.doi.org/10.3390/app10124338.

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We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of watermarks. Each row of the dictionary is a Hadamard sequence representing multiple bits of the watermark. Then, the singular values of the segment-based host audio in a diagonal matrix are multiplied by the over-complete dictionary, producing a lower size matrix. At the same time, we embed the watermark into the compressed audio. In the detector, we detect the watermark and reconstruct the audio. This proposed method offers not only hiding the informa

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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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Borysenko, Oleksiy, Svitlana Matsenko, Toms Salgals, Sandis Spolitis, and Vjaceslavs Bobrovs. "The Lossless Adaptive Binomial Data Compression Method." Applied Sciences 12, no. 19 (2022): 9676. http://dx.doi.org/10.3390/app12199676.

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In this paper, we propose a new method for the binomial adaptive compression of binary sequences of finite length without loss of information. The advantage of the proposed binomial adaptive compression method compared with the binomial compression method previously developed by the authors is an increase in the compression rate. This speed is accompanied in the method by the appearance of a new quality—noise immunity of compression. The novelty of the proposed method, which makes it possible to achieve these positive results, is manifested in the adaptation of the compression ratio of compres

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Priya, G. L., and Debashis Ghosh. "BCS-Based Encoding Schemes for Monoview and Multiview Visual Configurations in WVSN Data Gathering: A Survey." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 18, no. 4 (2024): 508–21. http://dx.doi.org/10.37936/ecti-cit.2024184.256278.

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Wireless Visual Sensor Network (WVSN) has become a valuable tool in addressing the evolving needs of modern monitoring systems. Encoding in WVSNs is a multifaceted process that involves compressing visual data, optimizing energy consumption, ensuring error resilience, and adapting to various network and application requirements. The associated lightweight encoders and the demand for less storage space make block compressive sensing (BCS) techniques suitable for WVSN applications where energy, bandwidth, and storage resources are limited. Based on the number of visual perspectives or camera ang

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Nithya, P., T. Vengattaraman, and M. Sathya. "Survey On Parameters of Data Compression." REST Journal on Data Analytics and Artificial Intelligence 2, no. 1 (2023): 1–7. http://dx.doi.org/10.46632/jdaai/2/1/1.

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The rapid development in the hardware and the software gives rise to data growth. This data growth has numerous impacts, including the need for a larger storage capacity for storing and transmitting. Data compression is needed in today’s world because it helps to minimize the amount of storage space required to store and transmit data. Performance measures in data compression are used to evaluate the efficiency and effectiveness of data compression algorithms. In recent times, numerous data compression algorithms are developed to reduce data storage and increase transmission speed in this inte

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Enas, Wahab Abood, Alaa Hussien Zaid, Assy Kawi Haifaa, et al. "Provably secure and efficient audio compression based on compressive sensing." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 335–46. https://doi.org/10.11591/ijece.v13i1.pp335-346.

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The advancement of systems with the capacity to compress audio signals and simultaneously secure is a highly attractive research subject. This is because of the need to enhance storage usage and speed up the transmission of data, as well as securing the transmission of sensitive signals over limited and insecure communication channels. Thus, many researchers have studied and produced different systems, either to compress or encrypt audio data using different algorithms and methods, all of which suffer from certain issues including high time consumption or complex calculations. This paper propo

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Yang, Le, Zhao Yang Guo, Shan Shan Yong, Feng Guo, and Xin An Wang. "A Hardware Implementation of Real Time Lossless Data Compression and Decompression Circuits." Applied Mechanics and Materials 719-720 (January 2015): 554–60. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.554.

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This paper presents a hardware implementation of real time data compression and decompression circuits based on the LZW algorithm. LZW is a dictionary based data compression, which has the advantage of fast speed, high compression, and small resource occupation. In compression circuit, the design creatively utilizes two dictionaries alternately to improve efficiency and compressing rate. In decompression circuit, an integrated State machine control module is adopted to save hardware resource. Through hardware description and language programming, the circuits finally reach function simulation

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Dal Pozzo, G., I. Fusi, M. Santoni, F. Dal Pozzo, G. Fabris, and M. Leonardi. "Patologia degenerativa disco-vertebrale ed ernia discale." Rivista di Neuroradiologia 8, no. 2 (1995): 259–308. http://dx.doi.org/10.1177/197140099500800218.

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I processi di invecchiamento e degenerazione discale sono caratterizzati da progressiva disidratazione del nucleo polposo e dell'anello fibroso e dalla loro trasformazione fibrosa. Tali alterazioni rappresentano ilmomento prelimnare più importante nella patogenesi dell'ernia del disco. La degenerazione discale si associa spesso ad alterazioni dei corpi vertebrali adiacenti caratterizzate da modificazioni strutturali in seno al midollo osseo della spongiosa vertebrale, sclerosi delle limitanti somatiche, osteofitosi, ernie di Schmorl. Ancora oggi si ritiene che, in presenza di una sintomatologi

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Zhao, Huihuang, Yaonan Wang, Zhijun Qiao, and Bin Fu. "Solder joint imagery compressing and recovery based on compressive sensing." Soldering & Surface Mount Technology 26, no. 3 (2014): 129–38. http://dx.doi.org/10.1108/ssmt-09-2013-0024.

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Purpose – The purpose of this paper is to develop an improved compressive sensing algorithm for solder joint imagery compressing and recovery. The improved algorithm can improve the performance in terms of peak signal to noise ratio (PSNR) of solder joint imagery recovery. Design/methodology/approach – Unlike the traditional method, at first, the image was transformed into a sparse signal by discrete cosine transform; then the solder joint image was divided into blocks, and each image block was transformed into a one-dimensional data vector. At last, a block compressive sampling matching pursu

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Majeed, Jihad H., and Salim H. Sulaiman Al-Hakari. "Paleostress Analysis Using Fracture Data, a Case Study of Kewa Charmula Anticline, Kurdistan Region, Northeastern Iraq." IRAQI BULLETIN OF GEOLOGY AND MINING 20, no. 1 (2024): 21–42. http://dx.doi.org/10.59150/ibgm2001a02.

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Fracture analysis was carried out through three adjacent traverses. The study area is considered a part of the Arabian Plate and geologically falls within the boundary between the Low Folded Zone and the High Folded Zone of the Western Zagros Fold-Thrust Belt in the Iraqi Kurdistan Region. Five formations are cropped out in this anticline, extending from the Late Oligocene up to the Late Miocene – Pliocene. Those formations are (Anah, Jeribe, Fatha, Injana, and Mukdadiya). In addition, identify an Oligocene unit the Kirkuk Group, represented by the (Anah Fn.) that no other studies have previou

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Mishra, Ishani, and Sanjay Jain. "Soft computing based compressive sensing techniques in signal processing: A comprehensive review." Journal of Intelligent Systems 30, no. 1 (2020): 312–26. http://dx.doi.org/10.1515/jisys-2019-0215.

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Abstract In this modern world, a massive amount of data is processed and broadcasted daily. This includes the use of high energy, massive use of memory space, and increased power use. In a few applications, for example, image processing, signal processing, and possession of data signals, etc., the signals included can be viewed as light in a few spaces. The compressive sensing theory could be an appropriate contender to manage these limitations. “Compressive Sensing theory” preserves extremely helpful while signals are sparse or compressible. It very well may be utilized to recoup light or com

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Darmawan, Rendi Editya, Untung Sujianto, and Nana Rochana. "Implementation of Chest Compression for Cardiac Arrest Patient in Indonesia: True or False." Jurnal Ners 16, no. 1 (2021): 13. http://dx.doi.org/10.20473/jn.v16i1.17508.

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Introduction: The highest cause of death is cardiac arrest. Proper manual chest compression will increase survival of cardiac arrest. The aim of this study was to know the implementation of chest compressions for cardiac arrest patient in Indonesia.Methods: This study used a descriptive quantitative design. The samples were nurse and code blue team when performing manual chest compression to 74 patients experiencing cardiac arrest. The sample have body mass index (BMI) > 20. Research was conducted in two hospitals in Java, Indonesia. Implementation of chest compression is measured based on

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Chithra, P. L., and S. Lakshmi Bala. "Sculpting Efficiency: Hierarchical Codec Framework for 3D LiDAR Point Cloud Data." Indian Journal Of Science And Technology 18, no. 11 (2025): 904–21. https://doi.org/10.17485/ijst/v18i11.1583.

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Objectives: A novel and effective 3D compression strategy is proposed for Point Cloud Data (PCD) from Light Detection and Ranging (LiDAR) sensors. The proposed methodology called 3DPCD-TPK Codec: t-distributed Stochastic Neighbour Embedding (t-SNE), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and K-dimensional Tree (K-D Tree) for 3D PCD Compression. 3DPCD-TPK codec achieves effective compression of 3D PCD by combining t-SNE for dimensionality reduction, DBSCAN for clustering, and K-D Tree for effective spatial indexing. To accomplish lossless compression of PCD, LZ4 c

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Tsutsumi, Satoshi, Hideo Ono, and Yukimasa Yasumoto. "Vascular Compression of the Anterior Optic Pathway: A Rare Occurrence?" Canadian Association of Radiologists Journal 68, no. 4 (2017): 409–13. http://dx.doi.org/10.1016/j.carj.2017.02.001.

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Background Vascular compression of the anterior optic pathway has been documented as an infrequent cause of visual impairments. Here we characterize such vascular compression using magnetic resonance imaging. Methods A total of 183 patients without pathologies affecting the optic pathways underwent T2-weighted or constructive interference steady-state sequence magnetic resonance imaging. Imaging data from coronal sections were analyzed. Results A vascular compression of the anterior optic pathway was identified in 20 patients (11%). They comprised 13 men and 7 women with a mean age of 60.8 yea

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Mansyuri, Umar. "KOMPRESI DATA TEKS DENGAN METODE RUN LENGTH ENCODING." Jurnal Ilmiah Sistem Informasi 1, no. 2 (2021): 102–9. http://dx.doi.org/10.46306/sm.v1i2.13.

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One method of using data compression is by using a method called Run Length Encoding (RLE), especially image data. The RLE method is one of the simplest lossless types of data compression schemes and is based on the simple principle of data encoding. The RLE method is very suitable for compressing data containing repetitive characters such as simple graphic images. The compressed data are 28 RGB (Red, Green, Blue) images and 28 grayscale images in jpg, png, bmp, and tiff formats, respectively. Image data is compressed with an encoder and decoder program using the RLE algorithm in the matlab ap

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Zhou, Xichuan, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, and Cheng Zhuo. "An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5949–56. http://dx.doi.org/10.1609/aaai.v33i01.33015949.

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This paper addresses the challenge of designing efficient framework for real-time object detection and image compression. The proposed Compressive Convolutional Network (CCN) is basically a compressive-sensing-enabled convolutional neural network. Instead of designing different components for compressive sensing and object detection, the CCN optimizes and reuses the convolution operation for recoverable data embedding and image compression. Technically, the incoherence condition, which is the sufficient condition for recoverable data embedding, is incorporated in the first convolutional layer

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Kaur, Harjit. "Image Compression Techniques with LZW method." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 1773–77. http://dx.doi.org/10.22214/ijraset.2022.39999.

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Abstract: Image compression is a technique which is used to reduce the size of the data. In other words, it means to remove the extra data from the available by applying some techniques and tricks which makes the data easy for storing and transmitting it over the transmission medium. The compression techniques are broadly divided into two categories. First one is Lossy Compression in which some of the data is lost while compressing it and second technique is lossless technique in which data is not lost after compressing it. These compression techniques can be applied on different image formats

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Kuncoro, Adam Prayogo, Dinar Mustofa, Dwi Krisbiantoro, and Tarwoto Tarwoto. "DIGITAL DATA SECURITY WITH APPLICATION OF CRYPTOGRAPHY AND DATA COMPRESSION TECHNIQUES." Jurnal Teknik Informatika (Jutif) 4, no. 5 (2023): 995–99. http://dx.doi.org/10.52436/1.jutif.2023.4.5.659.

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The need for digital data security is to ensure that the data and information we have are confidential and can only be accessed by authorized users. And no one can change the information in it, thus ensuring complete accuracy. The functions of data security are confidentiality, authentication, integrity, and anti-repudiation. Compression techniques are used to protect digital data because they aim to make less storage space and allow us to transfer more data over the internet. This study aims to plan to prove the application of a combination of 2 (two) techniques, namely compression and crypto

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Slepyan, Ariel, Michael Zakariaie, Trac Tran, and Nitish Thakor. "Wavelet Transforms Significantly Sparsify and Compress Tactile Interactions." Sensors 24, no. 13 (2024): 4243. http://dx.doi.org/10.3390/s24134243.

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As higher spatiotemporal resolution tactile sensing systems are being developed for prosthetics, wearables, and other biomedical applications, they demand faster sampling rates and generate larger data streams. Sparsifying transformations can alleviate these requirements by enabling compressive sampling and efficient data storage through compression. However, research on the best sparsifying transforms for tactile interactions is lagging. In this work we construct a library of orthogonal and biorthogonal wavelet transforms as sparsifying transforms for tactile interactions and compare their tr

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Sustika, Rika, and Bambang Sugiarto. "Compressive Sensing Algorithm for Data Compression on Weather Monitoring System." TELKOMNIKA (Telecommunication Computing Electronics and Control) 14, no. 3 (2016): 974. http://dx.doi.org/10.12928/telkomnika.v14i3.3021.

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Ni, Hsu-Chih, Renliang Yuan, Jiong Zhang, and Jian-Min Zuo. "Framework of compressive sensing and data compression for 4D-STEM." Ultramicroscopy 259 (May 2024): 113938. http://dx.doi.org/10.1016/j.ultramic.2024.113938.

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Ochoa, Idoia, Mikel Hernaez, and Tsachy Weissman. "Aligned genomic data compression via improved modeling." Journal of Bioinformatics and Computational Biology 12, no. 06 (2014): 1442002. http://dx.doi.org/10.1142/s0219720014420025.

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With the release of the latest Next-Generation Sequencing (NGS) machine, the HiSeq X by Illumina, the cost of sequencing the whole genome of a human is expected to drop to a mere $1000. This milestone in sequencing history marks the era of affordable sequencing of individuals and opens the doors to personalized medicine. In accord, unprecedented volumes of genomic data will require storage for processing. There will be dire need not only of compressing aligned data, but also of generating compressed files that can be fed directly to downstream applications to facilitate the analysis of and inf

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Shivanna, Gunasheela Keragodu, and Haranahalli Shreenivasamurthy Prasantha. "Two-dimensional satellite image compression using compressive sensing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 311. http://dx.doi.org/10.11591/ijece.v12i1.pp311-319.

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Compressive sensing is receiving a lot of attention from the image processing research community as a promising technique for image recovery from very few samples. The modality of compressive sensing technique is very useful in the applications where it is not feasible to acquire many samples. It is also prominently useful in satellite imaging applications since it drastically reduces the number of input samples thereby reducing the storage and communication bandwidth required to store and transmit the data into the ground station. In this paper, an interior point-based method is used to recov

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Gunasheela, Keragodu Shivanna, and Shreenivasamurthy Prasantha Haranahalli. "Two-dimensional satellite image compression using compressive sensing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 311–19. https://doi.org/10.11591/ijece.v12i1.pp311-319.

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Compressive sensing is receiving a lot of attention from the image processing research community as a promising technique for image recovery from very few samples. The modality of compressive sensing technique is very useful in the applications where it is not feasible to acquire many samples. It is also prominently useful in satellite imaging applications since it drastically reduces the number of input samples thereby reducing the storage and communication bandwidth required to store and transmit the data into the ground station. In this paper, an interior point-based method is used to recov

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Atri, Preyaa. "Cloud Storage Optimization Through Data Compression: Analyzing the Compress-csv-files-gcs-bucket Library." Journal of Artificial Intelligence, Machine Learning and Data Science 1, no. 3 (2023): 498–500. https://doi.org/10.51219/JAIMLD/preyaa-atri/134.

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This paper examines the hypothetical Compress-csv-files-gcs-bucket library, analyzing its potential role in optimizing Google Cloud Storage (GCS) by compressing files within buckets. We discuss the problem of storage inefficiency in cloud environments and present compression as a solution. The paper then explores potential use cases, implementation considerations, and the impact this library could have on data management and cost reduction. Finally, we address limitations and propose areas for further research.

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Pompa, N., D. O’Dochartaigh, M. J. Douma, P. Jaggi, S. Ryan, and M. MacKenzie. "P116: A randomized cross-over trial of conventional bimanual versus single elbow (Koch) chest compression quality in a height-restricted aeromedical helicopter." CJEM 20, S1 (2018): S98. http://dx.doi.org/10.1017/cem.2018.314.

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Introduction: Aeromedical helicopters and fixed wing aircraft are used across Canada to transfer patients to definitive care. Given height limitation in aeromedical transport, CPR performance can be affected. An adapted manual compression technique has been proposed by H. Koch (pron. Cook) that uses the elbow to compress the sternum rather than the conventional hand. This preliminary study evaluated the quality of Koch compressions versus conventional bimanual compressions. Methods: Paramedics (5), registered nurses (3) and a physician (1) were recruited. Each participant performed a 2 minute

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Kandasamy, Jeyapal, Peter S. Theobald, Ian K. Maconochie, and Michael D. Jones. "Can real-time feedback improve the simulated infant cardiopulmonary resuscitation performance of basic life support and lay rescuers?" Archives of Disease in Childhood 104, no. 8 (2019): 793–801. http://dx.doi.org/10.1136/archdischild-2018-316576.

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BackgroundPerforming high-quality chest compressions during cardiopulmonary resuscitation (CPR) requires achieving of a target depth, release force, rate and duty cycle.ObjectiveThis study evaluates whether ‘real time’ feedback could improve infant CPR performance in basic life support-trained (BLS) and lay rescuers. It also investigates whether delivering rescue breaths hinders performing high-quality chest compressions. Also, this study reports raw data from the two methods used to calculate duty cycle performance.MethodologyBLS (n=28) and lay (n=38) rescuers were randomly allocated to respe

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A. Al-Khayyat, Kamal, Imad F. Al-Shaikhli, and V. Vijayakuumar. "On Randomness of Compressed Data Using Non-parametric Randomness Tests." Bulletin of Electrical Engineering and Informatics 7, no. 1 (2018): 63–69. http://dx.doi.org/10.11591/eei.v7i1.902.

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Four randomness tests were used to test the outputs (compressed files) of four lossless compressions algorithms: JPEG-LS and JPEG-2000 algorithms are image-dedicated algorithms, while 7z and Bzip2 algorithms are general-purpose algorithms. The relationship between the result of randomness tests and the compression ratio was investigated. This paper reports the important relationship between the statistical information behind these tests and the compression ratio. It shows that, this statistical information almost the same at least, for the four lossless algorithms under test. This information

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Kamal, A. Al-Khayyat, F. Al-Shaikhli Imad, and Vijayakuumar V. "On Randomness of Compressed Data Using Non-parametric Randomness Tests." Bulletin of Electrical Engineering and Informatics 7, no. 1 (2018): 63–69. https://doi.org/10.11591/eei.v7i1.902.

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Four randomness tests were used to test the outputs (compressed files) of four lossless compressions algorithms: JPEG-LS and JPEG-2000 algorithms are image-dedicated algorithms, while 7z and Bzip2 algorithms are generalpurpose algorithms. The relationship between the result of randomness tests and the compression ratio was investigated. This paper reports the important relationship between the statistical information behind these tests and the compression ratio. It shows that, this statistical information almost the same at least, for the four lossless algorithms under test. This information s

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Klein, Shmuel T., and Dana Shapira. "On the Randomness of Compressed Data." Information 11, no. 4 (2020): 196. http://dx.doi.org/10.3390/info11040196.

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It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data. We investigate this premise for a variety of known lossless compression techniques, and find that, surprisingly, there is much variability in the randomness, depending on the chosen method. Arithmetic coding seems to produce perfectly random output, whereas that of Huffman or Ziv-Lempel coding still contains many dependencies. In particular, the output of Huffman coding has already been proven to be random under certain conditio

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Foks, Nathan Leon, Richard Krahenbuhl, and Yaoguo Li. "Adaptive sampling of potential-field data: A direct approach to compressive inversion." GEOPHYSICS 79, no. 1 (2014): IM1—IM9. http://dx.doi.org/10.1190/geo2013-0087.1.

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Compressive inversion uses computational algorithms that decrease the time and storage needs of a traditional inverse problem. Most compression approaches focus on the model domain, and very few, other than traditional downsampling focus on the data domain for potential-field applications. To further the compression in the data domain, a direct and practical approach to the adaptive downsampling of potential-field data for large inversion problems has been developed. The approach is formulated to significantly reduce the quantity of data in relatively smooth or quiet regions of the data set, w

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Kamineni, Srinath, Zubair Wani, Zong-Ping Luo, Yoshida Ruriko, and Kai-Nan An. "CHONDROCYTE RESPONSE TO TENSILE AND COMPRESSIVE CYCLIC LOADING MODALITIES." Journal of Musculoskeletal Research 15, no. 01 (2012): 1250006. http://dx.doi.org/10.1142/s0218957712500066.

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There is very little data addressing cartilage response to tensile forces, and no literature attempts to correlate compressive with tensile modalities. Our hypothesis was that the cyclic compression and tension modulate chondrocyte matrix proteoglycan synthetic response differently. Porcine chondrocytes cultured to confluence on a flexible membrane were subjected to cyclic compression (Group A: 13 KPa at 1 Hz) or tension (Group C: 10% strain at 1 Hz) for 16 or 32 h; while controls not subjected to any force were kept (Group B). The chondrocytes were then stained with alcian blue and stained ar

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WANG, YANFEI, CHANGCHUN YANG, and JINGJIE CAO. "ON TIKHONOV REGULARIZATION AND COMPRESSIVE SENSING FOR SEISMIC SIGNAL PROCESSING." Mathematical Models and Methods in Applied Sciences 22, no. 02 (2012): 1150008. http://dx.doi.org/10.1142/s0218202511500084.

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Using compressive sensing and sparse regularization, one can nearly completely reconstruct the input (sparse) signal using limited numbers of observations. At the same time, the reconstruction methods by compressing sensing and optimizing techniques overcome the obstacle of the number of sampling requirement of the Shannon/Nyquist sampling theorem. It is well known that seismic reflection signal may be sparse, sometimes and the number of sampling is insufficient for seismic surveys. So, the seismic signal reconstruction problem is ill-posed. Considering the ill-posed nature and the sparsity of

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Khairun Najihah Kamarudin, Nurmunira Muhammad, and Abdoullah Namdar. "Design of Industrial Mg-Rich Gypsum Waste with Concrete Waste Aggregate for Compressibility of Problematic Soil." Journal of Advanced Research in Applied Mechanics 116, no. 1 (2024): 103–16. http://dx.doi.org/10.37934/aram.116.1.103116.

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Peats are often considered as a geotechnically problematic soil due to their poor behaviour and exhibit low soil properties like high compressibility, low shear strength, high fibre content, high moisture content and low bearing capacity values. Chemical stabilization was proven to be an effective method to stabilize the problematic soil. To date many additives like Ordinary Portland Cement, fly ash, lime and other alternatives binder has been applied to improve the compressive strength of the problematic soil. The study describes the effect of compressibility of improved peat soil using waste

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Hayati, Anis Kamilah, and Haris Suka Dyatmika. "THE EFFECT OF JPEG2000 COMPRESSION ON REMOTE SENSING DATA OF DIFFERENT SPATIAL RESOLUTIONS." International Journal of Remote Sensing and Earth Sciences (IJReSES) 14, no. 2 (2018): 111. http://dx.doi.org/10.30536/j.ijreses.2017.v14.a2724.

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The huge size of remote sensing data implies the information technology infrastructure to store, manage, deliver and process the data itself. To compensate these disadvantages, compressing technique is a possible solution. JPEG2000 compression provide lossless and lossy compression with scalability for lossy compression. As the ratio of lossy compression getshigher, the size of the file reduced but the information loss increased. This paper tries to investigate the JPEG2000 compression effect on remote sensing data of different spatial resolution. Three set of data (Landsat 8, SPOT 6 and Pleia

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Dahunsi, F. M., O. A. Somefun, A. A. Ponnle, and K. B. Adedeji. "Compression Techniques of Electrical Energy Data for Load Monitoring: A Review." Nigerian Journal of Technological Development 18, no. 3 (2021): 194–208. http://dx.doi.org/10.4314/njtd.v18i3.4.

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In recent years, the electric grid has experienced increasing deployment, use, and integration of smart meters and energy monitors. These devices transmit big time-series load data representing consumed electrical energy for load monitoring. However, load monitoring presents reactive issues concerning efficient processing, transmission, and storage. To promote improved efficiency and sustainability of the smart grid, one approach to manage this challenge is applying data-compression techniques. The subject of compressing electrical energy data (EED) has received quite an active interest in the

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