#SAL #IJSRD #National Conference #Conference in Ahmedabad

The Role of Information and Communication Technologies in Rural Development in India

Author(s):  Ishu Tiwari , Maharaja Agrasen College University of Delhi; Gaurav Pathak, Maharaja Agrasen College University of Delhi

Keywords: Information and Communication Technologies, Rural Development, ICT

Abstract: Information and Communication Technologies (ICTS) are changing every sphere of our lives. It holds tremendous potential for rural development in India in the areas of agriculture, health, and education. One of the main reasons for the inequitable distribution of economic gains between urban and the rural population is the gap in access to information. ICTs can contribute in automation of Rural Banks, networking, information sharing and the provision of ICT enhanced distance learning in countryside areas. Issues such as unavailability of electricity, lack of ICTs equipment, high level of illiteracy, user acceptance and local content have to be addressed before the potential of ICTs can be achieved. The paper covers one such solution, Internet.org. By partnering with mobile operators and governments in different countries, Internet.org offers free access in local languages to basic internet services in areas like jobs, health, education and messaging. Internet.org lowers the cost of accessing the internet and raises the awareness of the internet's value. In India, Reliance network has already rolled out free services to millions of people in Tamil Nadu, Andhra Pradesh, Maharashtra, Kerala, Gujarat, and Telangana. Apart from analyzing the effective implementation of Internet.org in rural areas the paper also draws attention to the efforts made by past and present governments of India to solve the major problems facing ICT development. Some recommendations are made as to what the government and other development agencies can do to address these challenges.

For Full Length Paper Visit : http://www.ijsrd.com/C_Article.php?manuscript=NCILP048

#IJSRD #SAL #National Conference

“NATIONAL CONFERENCE ON ICT”

Transforming ICT to IoT

In association with

IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named “National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.

1. Pedagogy for effective use of ICT in Engineering Education.
2. IoT for everyday life.
3. IoT for smart house.

Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani Ms. Neelima Shah Ms. Pooja Shah
Convener
Dr. S. G. Desai
Coordinators	Technical Committee
Prof. Vijay Gadhavi (SALITER) Prof. Dushyant Rathod (SCE) Prof. Mayank Parekh (SCE) Prof. Tejas Mehta (SETI)	Prof. Nidhi Barot Prof. Pooja Mehta Prof. Archana Patel Prof. Ankita Gandhi

Click here to download information brochure

ORGANISED BY

SAL Institute of Technology & Engineering Research Opp, Science city, Sola Bhadaj Road, Ahmedabad, Gujarat 380060 Website : www.sal.edu.in

PUBLICATION PARTNER

International Journal  for Scientific Research & Development Website: ijsrd.com

#ijsrd #nicl 2015 #conference

IJSRD Successfully Publish All Paper with NICL-2015 Conference.

For More Visit http://www.ijsrd.com/index.php?p=C_Archive&c_number=1

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ijsrd.com is a leading indian journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work. With precise and analytical narration of knowledge by our reviewers, our journal is providing implemental economy and latest global transposition to research. This monthly journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students.We publish original and high quality papers. We aim to cover the latest outstanding development in the fields of Engineering and Technologies. All the published papers are submitted to the major indexing services for indexing.

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology : NCIL 2015 : Publication Partner www.ijsrd.com

NCIL - 2015

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology

Organised by ESRC and Dept of Electronics

Publication Partner International Journal for scientific research & Development (IJSRD)

Date: 16-17 October 2015

http://ncilindia.in/

http://mac.du.ac.in/

Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks : IJSRD.com

Paper Title :  Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks

Author Name : Dr. Jigar Patel1 Vaishali Patel2 Amit Patel3 

Author Designation : 1Associate Professor 2Research Scholar 3Assistant Professor

Author College Name : 1KIRC, Kalol 2KSV, Gandhinagar 3CSPIT, Changa

Abstract - The neural network based approaches a feed forward neural network trained with Back Propagation technique was used for automatic diagnosis of defects in bearings. Vibration time domain signals were collected from a normal bearing and defective bearings under various speed conditions. The signals were processed to obtain various statistical parameters, which are good indicators of bearing condition, then best features are selected from graphical method and these inputs were used to train the neural network and the output represented the bearing states. The trained neural networks were used for the recognition of bearing states. The results showed that the trained neural networks were able to distinguish a normal bearing from defective bearings with 83.33 % reliability. Moreover, the network was able to classify the bearings into different states with success rates better than those achieved with the best among the state-of-the-art techniques.

Keyword - artificial neural networks (ANNs), condition monitoring, features extraction, Root mean square, Crest factor, Kurtosis, Skewness, Clearance factor, Impulse factor, shape factor, entropy, energy, upper bound, lower bound, central moment, signal distribution1, spectral skewness, spectral kurtosis, spectral energy, Periodogram. 

For Full Length Paper Visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV1I4003