From Claude Shannon’s Information Entropy to Spike-Time Data Compression Theory

2018 ◽  
pp. 679-699
Author(s):  
Nikola K. Kasabov
Keyword(s):  
Data Compression ◽  
Information Entropy ◽  
Spike Time ◽  
Time Data

Online Data Compression Technique for Real Time Data of Energy Management System in the Industrial Production

2014 ◽  
Vol 519-520 ◽  
pp. 70-73 ◽  
Author(s):  
Jing Bai ◽  
Tie Cheng Pu
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Energy Management ◽  
Industrial Production ◽  
Energy Management System ◽  
Sampled Data ◽  
Time Data ◽  
Online Data ◽  
Compression Technique ◽  
Real Time Data

Aiming at storing and transmitting the real time data of energy management system in the industrial production, an online data compression technique is proposed. Firstly, the auto regression model of a group of sequence is established. Secondly, the next sampled data can be predicted by the model. If the estimated error is in the allowable range, we save the parameters of model and the beginning data. Otherwise, we save the data and repeat the method from the next sampled data. At Last, the method is applied in electricity energy data compression of a beer production. The application result verifies the effectiveness of the proposed method.

A Hardware Implementation of Real Time Lossless Data Compression and Decompression Circuits

2015 ◽  
Vol 719-720 ◽  
pp. 554-560
Author(s):  
Le Yang ◽  
Zhao Yang Guo ◽  
Shan Shan Yong ◽  
Feng Guo ◽  
Xin An Wang
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Hardware Implementation ◽  
Storage Capacity ◽  
Time Data ◽  
Hardware Resource ◽  
Hardware Description ◽  
Lossless Data Compression ◽  
Timing Simulation ◽  
Lzw Algorithm

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 and timing simulation. The width of data sample is 12bits, and the dictionary storage capacity is 1K. The simulation results show the compression and decompression circuits have complete function. Compared to software method, hardware implementation can save more storage and compressing time. It has a high practical value in the future.

Application of a real-time data compression and adapted protocol technique for WAMS

2015 ◽  
Author(s):  
Fang Zhang ◽  
Lin Cheng ◽  
Xiong Li ◽  
Yuanzhang Sun ◽  
Wenzhong Gao ◽  
...  
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Time Data ◽  
Real Time Data

Data compression techniques for Phasor Measurement Unit (PMU) applications in smart transmission grid

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Makarand Ballal ◽  
Amit Kulkarni ◽  
Hiralal Suryawanshi
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Real Time ◽  
Principal Component ◽  
Singular Values ◽  
Area Measurement ◽  
Measurement Unit ◽  
Time Data ◽  
Transmission Grid ◽  
Phasor Measurement

AbstractThe advances in Wide Area Measurement Systems (WAMS) and deployment of a huge number of phasor measurement units (PMUs) in the grid are generating big data volume. This data can be used for a variety of applications related to grid monitoring, management, operation, protection, and control. With the increase in this data size, the respective storage capacity needs to be enhanced. Also, communication infrastructure readiness remains bottleneck to transfer this big data. One of the probable solutions could be transmitting compressed data. This paper presents techniques for data compression in the smart transmission system using singular values decomposition (SVD) and the eigenvalues decomposition (EVD). The SVD and EVD based principal component analysis (PCA) techniques are applied to the real-time PMU data collected from extra-high voltage (EHV) substations of transmission utility in the western regional grid of India. Adequacy of data is checked by Kaiser-Meyer-Olkin (KMO) test in order to have the satisfactory performance of these techniques towards achieving the objective of efficient data compression. Results are found satisfactory gives compression more than 80% using real time data.

Real-time data compression implementation based on the base-bit + overflowing-bit coding

1992 ◽  
Author(s):  
Shen-en Qian ◽  
Ruqin Wang ◽  
Shuqiu Li ◽  
Yisong Dai
Keyword(s):  
Data Compression ◽  
Real Time ◽  
Time Data ◽  
Real Time Data

KERNEL-BASED DATA COMPRESSION FOR ADVANCED MANUFACTURING SYSTEM

2003 ◽  
Vol 02 (01) ◽  
pp. 89-104
Author(s):  
MING GE ◽  
YANGSHENG XU
Keyword(s):  
Data Compression ◽  
Information Exchange ◽  
High Speed ◽  
Manufacturing System ◽  
New Method ◽  
Support Vector ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
Time Data ◽  
Advanced Manufacturing System

Manufacturing system is becoming larger and more complicated. Global manufacturing chains have become common in the new millennium. Internet and intranet integrate the advanced manufacturing system. To perform remote monitoring and diagnosis in such chains and systems, real-time data compression has become a core factor in the efficient and effective exchange of information exchange via computer networks. This paper presents a new technique for compressing data using a kernel-based method. Overcoming the drawbacks of support vector techniques — that is, fast decompression but slow compression — the new method exhibits high speed in both phases. In addition, the new method can also be applied for pattern classification. Based on strain signal example tests derived from sheet metal stamping operations, the new method is very effective. The proposed technology has enormous potential in the application of advanced manufacturing system monitoring and control through internet or intranet.

Industrial high-speed wireless synchronous data acquisition system with real-time data compression

Measurement ◽  
2013 ◽  
Vol 46 (9) ◽  
pp. 3482-3487 ◽  
Author(s):  
Yazhou Yuan ◽  
Qimin Xu ◽  
Xinping Guan ◽  
Zhixin Liu
Keyword(s):  
Data Acquisition ◽  
Data Compression ◽  
Real Time ◽  
High Speed ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Time Data ◽  
Real Time Data
Sign in / Sign up

Export Citation Format

Share Document