Volume 11, Issue 4, April 2019

 

 

A Comparative Study of Viterbi Decoding Algorithm for Code Rate (1/2) in AWGN Channel
 

A Comparative Study of Viterbi Decoding Algorithm for Code Rate (1/2) in AWGN Channel

Pages: 59-84 (6) | [Full Text] PDF (469 KB)
H Mahmood, MH Al-Jammas
College of Electronics Engineering, Nineveh University, computer and information engineering

Abstract -
In this paper, a study on decoding the convolutional codes in AWGN channel using the Viterbi algorithm is presented. This study is performed using different constraint lengths at a fixed coding rate of (1/2). The performance of hard and soft Viterbi decoder is evaluated by measuring Bit Error Rate and decoding delays at various constraint lengths. Results show that Soft decoder provide around (1 to 2) dB of gain for bit error rate comparative of hard decoder. Increasing constraint length results in further improvement in BER in both soft and hard Viterbi decoders. Soft decoders, on the other hand, are shown to have less decoding time than hard decoders do. In digital communication systems, the use of hard or soft Viterbi decoder at a specific constraint length is a trade-off between decoding speed and accuracy of reconstructing original data.
 
Index Terms - Viterbi Decoder, Bit Error Rate, code rate, Constraint length

Citation - H Mahmood, MH Al-Jammas. "A Comparative Study of Viterbi Decoding Algorithm for Code Rate (1/2) in AWGN Channel ." International Journal of Computer Engineering and Information Technology 11, no. 4 (2019): 59-84.

Digital Rights Management by Using Cloud Computing
 

Digital Rights Management by Using Cloud Computing

Pages: 85-89 (5) | [Full Text] PDF (390 KB)
KS Ugale, Ankit Mune, HR Deshmukh
Department of Computer Technology, Sant Gadge Baba Amravati University, India

Abstract -
Cloud computing is an emerging technology which provides various services and storage for a large amount of digital data. The sharing and use of digital information is tremendously increasing in the world. Most of the information is stored in cloud as it provides storage as a service for huge data owners to store their data. This copyrighted data can be easily copied and can Distributed. Thus the security of this digital content is very important. For protecting the digital data the concept of Digital Rights Management was introduced. In DRM environment, only legitimate users are allow to access and use the copyrighted content. It is also equally important to preserve the privacy of the users who is accessing this digital content. For preserving the digital right of the data and privacy of the user various schemes have been proposed some of them rely on a Trusted Third Party (TTP) but there is possibility that the TTP become malicious. We are using an enhance scheme which can preserve both privacy of the user and digital rights of the content without relying on a TTP.
 
Index Terms - Cloud Computing, Trusted Third Party, Digital Rights Management

Citation - KS Ugale, Ankit Mune, HR Deshmukh. "Digital Rights Management by Using Cloud Computing." International Journal of Computer Engineering and Information Technology 11, no. 4 (2019): 85-89.

Comparative Analysis of Sequential Pattern Mining and High Utility Pattern Mining
 

Comparative Analysis of Sequential Pattern Mining and High Utility Pattern Mining

Pages: 90-93 (4) | [Full Text] PDF (194 KB)
AA Bhosale
Computer Sci. and Engg. Dept. TKIET, Warananagar, India

Abstract -
Mining high utility itemsets is an important research area in data mining. In this mining area, sequential pattern mining and high utility pattern mining plays an important role. Sequential pattern mining concerned with mining statistically relevant patterns where, data are delivered in a sequence and high utility pattern mining concerned finding itemsets with a high utility like the profit from the database. Different algorithms have been work on these areas, but some of them have a problem of generating a large number of irrelevant patterns. Due to this performance of mining is reduced in the case of execution time and gives a less accurate result. Therefore instead of applying single mining techniques, if both sequential and high utility mining user will get more efficient and useful patterns. In this paper, I have analyzed working of sequential and High utility mining technique.
 
Index Terms - Data Mining, High Utility Mining, Sequential Pattern Mining

Citation - AA Bhosale. "Comparative Analysis of Sequential Pattern Mining and High Utility Pattern Mining." International Journal of Computer Engineering and Information Technology 11, no. 4 (2019): 90-93.