Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer

Dalcekovic, Nikola; Vukmirovic, Srdjan; Stoja, Sebastijan; Milošević, Nemanja

doi:10.1007/s12243-016-0523-x

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…This is needed if a tenant intends to perform a procedure as a result of specific data. c. "table_routine" table, this table permits tenants to create routines for preventing the need to keep reissuing the individual statements but can refer to the stored routine instead while accessing the VET or CTT [26]. This is needed when a tenant attends to create a routine which essentially used to gather parameters and compare values following by single return value.…”

Section: Storing the Data Based On Tenant Actionmentioning

confidence: 99%

A native enhanced elastic extension tables multi-tenant database

Banhawy

Saber

Amer

2020

IJECE

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A fundamental factor of digital image compression is the conversion processes. The intention of this process is to understand the shape of an image and to modify the digital image to a grayscale configuration where the encoding of the compression technique is operational. This article focuses on an investigation of compression algorithms for images with artistic effects. A key component in image compression is how to effectively preserve the original quality of images. Image compression is to condense by lessening the redundant data of images in order that they are transformed cost-effectively. The common techniques include discrete cosine transform (DCT), fast Fourier transform (FFT), and shifted FFT (SFFT). Experimental results point out compression ratio between original RGB images and grayscale images, as well as comparison. The superior algorithm improving a shape comprehension for images with grahic effect is SFFT technique.

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Section: Storing the Data Based On Tenant Actionmentioning

confidence: 99%