Jayesh M. Patel

Work place: Acharya Motibhai Patel Institute of Computer Studies, Ganpat University, Kherva, Gujarat, India

E-mail: drjayeshpatel.phd@gmail.com


Research Interests:


Dr. Jayeshkumar M. Patel, having rich experience of 16 Years in Academics, Industry, Research and International exposure, is holding Doctorate in ERP (Computer Science) from North Gujarat University. Rewarding his research work, he has been awarded “Career Award For Young Teachers” from AICTE, Delhi. He is working as a recognised Ph.D. guide at G.T.U., H. N. G.U., Ganpat University and also with many other reputed universities. He has good number of research under his name and presented more than 47 research papers in International and National Journals and Conferences. He has delivered number of expert talk in SANDHAN Programme and UGC Sponsored Programme. He is also the member of board of studies and selection committee of different universities.

Author Articles
Influence of GUJarati STEmmeR in Supervised Learning of Web Page Categorization

By Chandrakant D. Patel Jayesh M. Patel

DOI: https://doi.org/10.5815/ijisa.2021.03.03, Pub. Date: 8 Jun. 2021

With the large quantity of information offered on-line, it's equally essential to retrieve correct information for a user query. A large amount of data is available in digital form in multiple languages. The various approaches want to increase the effectiveness of on-line information retrieval but the standard approach tries to retrieve information for a user query is to go looking at the documents within the corpus as a word by word for the given query. This approach is incredibly time intensive and it's going to miss several connected documents that are equally important. So, to avoid these issues, stemming has been extensively utilized in numerous Information Retrieval Systems (IRS) to extend the retrieval accuracy of all languages. These papers go through the problem of stemming with Web Page Categorization on Gujarati language which basically derived the stem words using GUJSTER algorithms [1]. The GUJSTER algorithm is based on morphological rules which is used to derived root or stem word from inflected words of the same class. In particular, we consider the influence of extracted a stem or root word, to check the integrity of the web page classification using supervised machine learning algorithms. This research work is intended to focus on the analysis of Web Page Categorization (WPC) of Gujarati language and concentrate on a research problem to do verify the influence of a stemming algorithm in a WPC application for the Gujarati language with improved accuracy between from 63% to 98% through Machine Learning supervised models with standard ratio 80% as training and 20% as testing.

[...] Read more.
OFDM Synchronization Techniques for 802.11ac WLAN

By Chandresh D. Parekha Jayesh M. Patel

DOI: https://doi.org/10.5815/ijwmt.2018.04.01, Pub. Date: 8 Jul. 2018

It would be dire need of accurate and fast wireless communication in the present as well as future era. Few years ago, error free wireless link design was only challenge and it had opened a way of digital communication. Now speed of communication becomes vital and essential part of research in the field of wireless communication. In wired communication category, optical communication is a solution to achieve targeted data speed but wireless channel for serial communication is highly disturbed with the phenomena of multipath and frequency selective fading for a data rate over a specific limit. A new technology named Orthogonal Frequency Division Multiplexing (OFDM) is a perfect key to open this locking situation of limited data rate with optimum use of bandwidth in the multipath fading channel. Supporting high data rates and robust response against narrowband interferences, OFDM had penetrated itself in many broadband wireless services. There are many issues with OFDM too and one of them is synchronization between orthogonal frequency channels at receiver. It is mandatory condition in the use of OFDM technology to maintain orthogonality among subcarriers for error free communication. Timing and frequency synchronization errors are quite detrimental to this condition because these errors ultimately disturb the orthogonality which is perfectly set at transmitter. Synchronization errors need to be handled properly otherwise they create Inter-Symbol Interference (ISI) and Inter-Channel Interference (ICI) which after all resulted into the deterioration of Bit Error Rate (BER). This paper covers types of synchronization and its effects, algorithms to decrease it and analysis of the same.

[...] Read more.
Other Articles