Low power text compression for Huffman coding using Altera FPGA with power management controller

Author(s):  
Maan Hameed ◽  
Hussein Shakor ◽  
Intesar Razak
Author(s):  
Daying Sun ◽  
Shen Xu ◽  
Weifeng Sun ◽  
Shengli Lu ◽  
Longxing Shi

2021 ◽  
Vol 102 ◽  
pp. 04013
Author(s):  
Md. Atiqur Rahman ◽  
Mohamed Hamada

Modern daily life activities produced lots of information for the advancement of telecommunication. It is a challenging issue to store them on a digital device or transmit it over the Internet, leading to the necessity for data compression. Thus, research on data compression to solve the issue has become a topic of great interest to researchers. Moreover, the size of compressed data is generally smaller than its original. As a result, data compression saves storage and increases transmission speed. In this article, we propose a text compression technique using GPT-2 language model and Huffman coding. In this proposed method, Burrows-Wheeler transform and a list of keys are used to reduce the original text file’s length. Finally, we apply GPT-2 language mode and then Huffman coding for encoding. This proposed method is compared with the state-of-the-art techniques used for text compression. Finally, we show that the proposed method demonstrates a gain in compression ratio compared to the other state-of-the-art methods.


Author(s):  
Somesh Rajain ◽  
Chetan Shingala ◽  
Ekata Mehul

The large emission of Carbon dioxide (CO2) is not only affecting our ecology but also affecting human life. In schools, offices, factory and crowded railway/bus stations i.e crowded places with insufficient ventilations CO2 affects human life most. In a closed environment like school, If CO2 level starts raising above 700 parts per million (ppm) people will feel objectionable body odors and as it increase further people will feel very uncomfortable, dizzy and have headache etc. Our goal is to reduce CO2 emission and lower global warming. In Semiconductor Industry as the digital technology grows, the functionality of our electronics devices (For example: - Mobile phone, PC’s, home appliances etc) is constantly improves and mean while the demand for electronic devices to be more environment friendly is increasing. So we have to design systems with Low power consumption to curtail down green house gas emission as well as low power design are also a requirement of today’s market. The usage of mobile device in all kinds of applications is increasing day by day. These applications and corresponding devices also have their power requirements. The demand for mobile consumer device has made the power management the number one consideration in today‘s system design. To increase battery life, system chip designer needs to adopt an aggressive power management technique which includes multi voltage Design Island, power gating, dynamic voltage, frequency scaling, clock gating etc in the system. Adding all these greatly complicates the verification for the chip. Normally the designer neglects the implementation of power saving techniques due to the tradeoff between power reduction and verification costs. The costs become more important in terms of business, which leads to more power consumption. Those details can still be implemented provided we use right kind of tools & techniques that are also combined with design experience. In this chapter the focus is to firstly describe low power design techniques, its verification challenges and its solutions followed by the case study. It also guides for the selection of programmable device & RTL Core design criteria. To make green electronics devices we have to design system with low power design techniques.


2013 ◽  
Vol 842 ◽  
pp. 712-716
Author(s):  
Qi Hong ◽  
Xiao Lei Lu

As a lossless data compression coding, Huffman coding is widely used in text compression. Nevertheless, the traditional approach has some deficiencies. For example, same compression on all characters may overlook the particularity of keywords and special statements as well as the regularity of some statements. In terms of this situation, a new data compression algorithm based on semantic analysis is proposed in this paper. The new kind of method, which takes C language keywords as the basic element, is created for solving the text compression of source files of C language. The results of experiment show that the compression ratio has been improved by 150 percent roughly in this way. This method can be promoted to apply to text compression of the constrained-language.


Sign in / Sign up

Export Citation Format

Share Document