MultiPLZW: A novel multiple pattern matching search in LZW-compressed data

Aldwairi, Monther; Hamzah, Abdulmughni Y.; Jarrah, Moath

doi:10.1016/j.comcom.2019.06.011

Cited by 12 publications

(6 citation statements)

References 32 publications

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“…The LZW compression used in this research is a method proposed by Abraham Lempel, Jacob Ziv, and Terry Welch based on a lookup table algorithm to compress files into small files (Aldwairi, Hamzah, & Jarrah, 2019). LZW compression is suitable for images in TIFF, GIF, and other formats.…”

Section: Disclosure Statementmentioning

confidence: 99%

Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform

et al. 2021

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Antarctica plays an important role in research on global change, and its unique geography, ocean, climate, and environment provide an ideal place for humankind to understand Earth's evolution. Remote sensing provides an effective means to monitor and observe large-scale processes on the continent. Synthetic aperture radar (SAR) in particular provides the capability for all-weather Earth observation. The Sentinel-1A and Sentinel-1B SAR satellites have ideal ground coverage and imaging frequency for observing Antarctica. This study developed a dataset of 69,586 Sentinel-1 EW mode satellite images of the Antarctic ice sheet from October 2014 to December 2020. The dataset was processed with the European Space Agency Sentinel Application Platform (SNAP) and a Python batch scheduling tool on the Big Earth Data Cloud Service Platform of the Chinese Academy of Sciences Big Earth Data Science Engineering Program (CASEarth). Several data processing operations were implemented to process the raw dataset, including radiometric calibration, invalid edge removal, geocoding, data reprojection to an Antarctic projection, data compression to TIFF format, and construction of image pyramids. The dataset is available at http://www.doi.org/10.11922/sciencedb.j00076.00085.

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Section: Disclosure Statementmentioning

confidence: 99%

Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform

et al. 2021

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“…It processes the on demand video scheduling problem, query and optimize the response time. [57] built a lookup table, history tree and map table to improve query processing response time by maintaining space complexity. A summary on video compression and retrieval approaches with its basic quality metrics used are shown in Table 5.…”

Section: Datasetmentioning

confidence: 99%

State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval

Megala¹

2021

TURCOMAT

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Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standards, describes the main concepts involved in video coding. Video compression performs conversion of large raw bits of video sequence into a small compact one, achieving high compression ratio with good video perceptual quality. Removing redundant information is the main task in the video sequence compression. A survey on various block matching algorithms, quantization and entropy coding are focused. It is found that many of the methods having computational complexities needs improvement with optimization.

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“…Therefore, the search and retrieve overhead should be attributed to the greater size of the response, which contains all the files' anchors. Work in [59] investigates the overhead for compressed data using Cloud as the platform.…”

Section: Cydon Testbed and Performance Analysismentioning

confidence: 99%

Electronic Regulation of Data Sharing and Processing Using Smart Ledger Technologies for Supply-Chain Security

Epiphaniou

Pillai

Bottarelli

et al. 2020

IEEE Trans. Eng. Manage.

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Traditional centralised data storage and processing solutions manifest limitations with regards to overall operational cost and the security and auditability of data. One of the biggest issues with existing solutions is the difficulty of keeping track of who has had access to the data and how the data may have changed over its lifetime; while providing a secure and easyto-use mechanism to share the data between different users. The ability to electronically regulate data sharing within and across different organisational entities in the supply-chain (SC), is an open issue, that is only addressed partially by existing legal and regulatory compliance frameworks. In this work, we present Cydon, a decentralised data management platform that executes bespoke distributed applications utilising a novel search and retrieve algorithm leveraging metadata attributes. Cydon utilises a smart distributed ledger to offer an immutable audit trail and transaction history for all different levels of data access and modification within a SC and for all data flows within the environment. Results suggest that Cydon provides authorised and fast access to secure distributed data, avoids single points of failure by securely distributing encrypted data across different nodes while maintains an "always-on" chain of custody.

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MultiPLZW: A novel multiple pattern matching search in LZW-compressed data

Cited by 12 publications

References 32 publications

Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform

Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth Cloud Service Platform

State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval

Electronic Regulation of Data Sharing and Processing Using Smart Ledger Technologies for Supply-Chain Security

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