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Jayadevan R.,Pune Institute of Computer Technology | Kolhe S.R.,North Maharashta University | Patil P.M.,Vishwakarma Institute of Technology | Pal U.,Indian Statistical Institute
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews | Year: 2011

In India, more than 300 million people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. State of the art from 1970s of machine printed and handwritten Devanagari optical character recognition (OCR) is discussed in this paper. All feature-extraction techniques as well as training, classification and matching techniques useful for the recognition are discussed in various sections of the paper. An attempt is made to address the most important results reported so far and it is also tried to highlight the beneficial directions of the research till date. Moreover, the paper also contains a comprehensive bibliography of many selected papers appeared in reputed journals and conference proceedings as an aid for the researchers working in the field of Devanagari OCR. © 2011 IEEE. Source

Joshi J.,Vishwakarma Institute of Information Technology | Mundada G.,Pune Institute of Computer Technology
Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010 | Year: 2010

In wireless mobile communication systems, the radio spectrum is limited resource. However, efficient use of such limited spectrum becomes more important when the two, three or more cells in the network become hot-spot. The use of available channels has been shown to improve the system capacity. The role of channel assignment scheme is to allocate channels to cells in such way as to minimize call-blocking probability or call dropping probability and also maximize the quality of service. In this paper attempts are made to reduce call-blocking probability by designing hybrid channel allocation (HCA) which is the combination of fixed channel allocation (FCA) and dynamic channel allocation (DCA). A cell becomes hot-spot when the bandwidth available in that cell is not enough to sustain the users demand and call will be blocked or dropped. A simulation result shows that HCA scheme significantly reduces call-blocking probability in hot-spot scenario and compared with cold-spot cell. This hot-spot notification will request more than one channel be assigned to the requesting cell, proportional to the current hot-spot level of the cell. Furthermore, all channels will be placed in a central pool and on demand will be assigned to the base station. That will be helpful to reduce call-blocking probability when cell becomes hot-spot. When a call using such a borrowed channel terminates, the cell may retain the channel depending upon its current hot-spot level therefore HCA has comparatively much smaller number of reallocations than other schemes. It also shows that it behaves similar to the FCA at high traffic and to the DCA at low traffic loads as it is designed to meet the advantages of both. © 2010 IEEE. Source

Darshakar A.,Pune Institute of Computer Technology
2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015 | Year: 2015

This paper presents a study conducted on intelligent crawlers used in search engines, competitive intelligence etc. Data mining algorithms identified by IEEE International Conference on Data Mining (ICDM) were used to aid machine learning and introduce intelligence into the crawler. A statistical analysis of performance of intelligent crawler is presented in this paper. Further in this paper the data mining algorithms are compared on basis of usability in crawlers. © 2015 IEEE. Source

Pal U.,Indian Statistical Institute | Jayadevan R.,Pune Institute of Computer Technology | Sharma N.,Indian Statistical Institute
ACM Transactions on Asian Language Information Processing | Year: 2012

Offline handwriting recognition in Indian regional scripts is an interesting area of research as almost 460 million people in India use regional scripts. The nine major Indian regional scripts are Bangla (for Bengali and Assamese languages), Gujarati, Kannada, Malayalam, Oriya, Gurumukhi (for Punjabi language), Tamil, Telugu, and Nastaliq (for Urdu language). A state-of-the-art survey about the techniques available in the area of offline handwriting recognition (OHR) in Indian regional scripts will be of a great aid to the researchers in the subcontinent and hence a sincere attempt is made in this article to discuss the advancements reported in this regard during the last few decades. The survey is organized into different sections. A brief introduction is given initially about automatic recognition of handwriting and official regional scripts in India. The nine regional scripts are then categorized into four subgroups based on their similarity and evolution information. The first group contains Bangla, Oriya, Gujarati and Gurumukhi scripts. The second group contains Kannada and Telugu scripts and the third group contains Tamil and Malayalam scripts. The fourth group contains only Nastaliq script (Perso-Arabic script for Urdu), which is not an Indo-Aryan script. Various feature extraction and classification techniques associated with the offline handwriting recognition of the regional scripts are discussed in this survey. As it is important to identify the script before the recognition step, a section is dedicated to handwritten script identification techniques. A benchmarking database is very important for any pattern recognition related research. The details of the datasets available in different Indian regional scripts are also mentioned in the article. A separate section is dedicated to the observations made, future scope, and existing difficulties related to handwriting recognition in Indian regional scripts. We hope that this survey will serve as a compendium not only for researchers in India, but also for policymakers and practitioners in India. It will also help to accomplish a target of bringing the researchers working on different Indian scripts together. Looking at the recent developments in OHR of Indian regional scripts, this article will provide a better platform for future research activities. © 2012 ACM. Source

Hiray S.,NBN Sinhgad Technical Institute Campus | Ingle R.,Pune Institute of Computer Technology
Proceedings - 2013 International Conference on Cloud and Ubiquitous Computing and Emerging Technologies, CUBE 2013 | Year: 2013

Cyber Physical Cloud (CPC) is a ubiquitous environment with tight integration of physical & environmental parameters in computation. It is real time heterogeneous computation. In addition to cloud hypervisor and other cloud enabled technologies there is need of middleware which will easily integrate this computational algorithms in cloud environment. Mobile sensor virtualization, 'Bigdata' analysis and QoS are important concerns for CPC. Security is most important QoS which can be achieved with proven Role based access control. Context-aware algorithms help to achieve QoS due to pervasive nature of CPC. Role Based access control is simple security mechanism used at application level. This paper describes first concept of cyber physical cloud and context- Aware middleware and then discuss Context aware Role based access Control. The novel framework with CRBAC (Context- Aware Role Based Access Control) model can be used for controllability, traceability and authorized access to system resources. Our Experimentation is to give support to our thought process and can be extended for future research. © 2013 IEEE. Source

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