Results 111 to 120 of about 2,484,228 (241)

Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding

open access: yesInternational Journal of Distributed Sensor Networks, 2014
This paper presents a lightweight data compression method for wireless sensor networks monitoring environmental parameters with low resolution sensors. Instead of attempting to devise novel ad hoc algorithms, we show that, given general knowledge of the ...
Henry Ponti Medeiros   +3 more
doaj   +1 more source

Huffman Deep Compression of Edge Node Data for Reducing IoT Network Traffic

open access: yesIEEE Access
Data compression at the Internet of Things (IoT) edge node aims to minimize data traffic in smart cities. The traditional Huffman Coding Algorithm (HCA) is shown as the most effective compression algorithm for sensor data.
Ammar Said Nasif   +4 more
doaj   +1 more source

HUFFMAN CODING AS A NONLINEAR DYNAMICAL SYSTEM [PDF]

open access: yesInternational Journal of Bifurcation and Chaos, 2011
In this paper, source coding or data compression is viewed as a measurement problem. Given a measurement device with fewer states than the observable of a stochastic source, how can one capture their essential information? We propose modeling stochastic sources as piecewise-linear discrete chaotic dynamical systems known as Generalized Luröth Series ...
openaire   +2 more sources

Analysis of LAPAN-IPB image lossless compression using differential pulse code modulation and huffman coding

open access: yes, 2017
LAPAN-A3/IPB satellite is the latest Indonesian experimental microsatellite with remote sensing and earth surveillance missions. The satellite has three optical payloads, which are multispectral push-broom imager, digital matrix camera and video camera ...
P. Hakim, Rizki Permala
semanticscholar   +1 more source

Combination of Huffman Coding Compression Algorithm and Least Significant Bit Method for Image Hiding

open access: yes, 2017
Least Significant Bit method can be used to hide image data into another image, but it need 8 bytes of data to store 1 bit of data, therefore, to store an image with red, green and blue channel. It would require 24 times the size of the image itself.
Dian Rachmawati, A. Amalia, J. Surya
semanticscholar   +1 more source

Electrocardiograph compression based on sifting process of empirical mode decomposition

open access: yesElectronics Letters, 2016
A new empirical mode decomposition (EMD)‐based electrocardiograph (ECG) compressor is presented. Utilising the sifting process in EMD, the spline fitting function of the successive mean extrema together with the first intrinsic mode functions can ...
Chaojun Zhao   +3 more
doaj   +1 more source

Video data compression using artificial neural network differential vector quantization [PDF]

open access: yes
An artificial neural network vector quantizer is developed for use in data compression applications such as Digital Video. Differential Vector Quantization is used to preserve edge features, and a new adaptive algorithm, known as Frequency-Sensitive ...
Ahalt, Stanley C.   +2 more
core   +1 more source

Is every compact code Huffman?

open access: yesDiscrete Mathematics, 1992
The author shows that not every compact code is Huffman, but there is an equivalence relation between codes upto which all compact codes are Huffman.
openaire   +1 more source

Image Watermarking based on Huffman Coding and Laplace Sharpening

open access: yesمجلة كلية التربية للبنات, 2019
In this paper, an algorithm through which we can embed more data than the regular methods under spatial domain is introduced. We compressed the secret data using Huffman coding and then this compressed data is embedded using laplacian sharpening method ...
Muna M. Lafta
doaj  

A cryptographic method to have a secure communication of health care digital data into the cloud

open access: yesAutomatika
Cloud computing is a technology that holds great promise and has potential to revolutionize the healthcare sector. Many security and privacy issues are brought up by the cloud’s centralization of data for both patients and healthcare professionals. There
K. Selvakumar, S. Lokesh
doaj   +1 more source

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