scispace - formally typeset
Search or ask a question
Proceedings ArticleDOI

A novel hybrid Huffman coding compression technique for secured condition monitoring of induction machine

20 Nov 2014-pp 467-471
TL;DR: A hybrid data compression technique consisting of DPCM and Huffman coding has been proposed for induction machine remote condition monitoring and a considerable amount of the data compression ratio is achieved and data security is also enhanced to a great extent.
Abstract: In the era of ICT, condition monitoring of machines and sending the data via communication channel to remote location is the subject of extensive research. As communication technique is involved, the channel capacity and data security have become very important issues. In this work a hybrid data compression technique consisting of DPCM and Huffman coding has been proposed for induction machine remote condition monitoring. In different case studies, a considerable amount of the data compression ratio is achieved and data security is also enhanced to a great extent.
Citations
More filters
Proceedings ArticleDOI
01 Jan 2016
TL;DR: A set of software tools is developed for a remote monitoring of industrial machines with the features of analysis of the machine data to detect any abnormality in their operations and generating a report according to this analysis.
Abstract: This paper deals with the software development for a remote monitoring of industrial machines with the features of analysis of the machine data to detect any abnormality in their operations and generating a report according to this analysis. A set of software tools is thus developed for this diagnostic system with the primary objective is to detect any incipient faults those are being cropped up and are becoming severe with time. Motor Current Signature Analysis (MCSA), sequence component analysis etc. types of tool are utilized to detect any incipient fault. The front end GUI (Graphical User Interface) displays the running conditions of the machines of this multi-machine monitoring system along with a list of maintenance schedule while the back end Management Information Base (MIB) controls all the data collection, interfacing of GSM modem for sending SMS for the faulty machine information and sends the control action for the machine(s). Hybrid Data Compression scheme is utilized to make the system communication efficient as well as secured one. The developed system is tested with two/three machine in our laboratory.

3 citations


Cites methods from "A novel hybrid Huffman coding compr..."

  • ...By this hybrid compression technique not only the data is compressed but also security feature is inherently introduced [8]....

    [...]

Journal ArticleDOI
TL;DR: Experimental results show the method of battery data compression can obtain a good compressibility and the method was formulated that two universal compression methods, Huffman coding and run-length coding, were applied to different battery data.
Abstract: The transmission and storage of electric vehicle battery management system (BMS) data are time consuming and infeasible, which reduces the efficiency of data transmission and storage. For this problem, this paper presents a method of battery data compression, the pre-compression is to reduce the amount of data and improve the data redundancy and repeatability, and a strategy was formulated that two universal compression methods, Huffman coding and run-length coding, were applied to different battery data. Experimental results show the method of battery data compression can obtain a good compressibility. The battery data compressibility of this paper was about 21%.

2 citations


Cites methods from "A novel hybrid Huffman coding compr..."

  • ...A compression method for multiple data is presented based on Huffman coding (Datta Das et al., 2014), applied to induction motor remote control system....

    [...]

References
More filters
Book
01 Dec 2006
TL;DR: Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists.
Abstract: Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. Data Compression provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. The presentation is organized into the main branches of the field of data compression: run length encoding, statistical methods, dictionary-based methods, image compression, audio compression, and video compression. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. Topics and features: coverage of video compression, including MPEG-1 and H.261 thorough coverage of wavelets methods, including CWT, DWT, EZW and the new Lifting Scheme technique complete audio compression QM coder used in JPEG and JBIG, including new JPEG 200 standard image transformations and detailed coverage of discrete cosine transform and Haar transform coverage of EIDAC method for compressing simple images prefix image compression ACB and FHM curve compression geometric compression and edgebreaker technique.Data Compression provides an invaluable reference and guide for all computer scientists, computer engineers, electrical engineers, signal/image processing engineers and other scientists needing a comprehensive compilation for a broad range of compression methods.

1,745 citations

Journal ArticleDOI
TL;DR: A data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described and proves that it never performs much worse than Huffman coding and can perform substantially better.
Abstract: A data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described. The scheme is based on a simple heuristic for self-organizing sequential search and on variable-length encodings of integers. We prove that it never performs much worse than Huffman coding and can perform substantially better; experiments on real files show that its performance is usually quite close to that of Huffman coding. Our scheme has many implementation advantages: it is simple, allows fast encoding and decoding, and requires only one pass over the data to be compressed (static Huffman coding takes two passes).

564 citations

Book
01 Jan 2004

241 citations


"A novel hybrid Huffman coding compr..." refers background in this paper

  • ...Data compression [2][4] is one of many technologies that enable today’s information revolution....

    [...]

Journal ArticleDOI
TL;DR: Different approaches to the WPT coefficients selection aiming at signal compression and denoising are described and Uniform compression of the set of signals is discussed as well.

234 citations


"A novel hybrid Huffman coding compr..." refers methods in this paper

  • ...The most commonly used lossy data compression techniques are Differential Pulse Code Modulation (DPCM) [8],[9], and wavelet compression [11]....

    [...]

01 Jan 2010
TL;DR: Huffman algorithm is analyzed and compared with other common compression techniques like Arithmetic, LZW and Run Length Encoding to make storing easier for large amount of data.
Abstract: Data compression is also called as source coding. It is the process of encoding information using fewer bits than an uncoded representation is also making a use of specific encoding schemes. Compression is a technology for reducing the quantity of data used to represent any content without excessively reducing the quality of the picture. It also reduces the number of bits required to store and/or transmit digital media. Compression is a technique that makes storing easier for large amount of data. There are various techniques available for compression in my paper work , I have analyzed Huffman algorithm and compare it with other common compression techniques like Arithmetic, LZW and Run Length Encoding.

166 citations