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Mandi Gobindgarh, India

Gill J.,Rimt Iet | Singh B.,BBSBEC | Singh S.,B.C.E.T
SIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informatics

Accurate weather forecasting is important in today's world as agricultural and industrial sectors are largely dependent on the weather conditions. Secondly, it is used to warn about natural disasters. Due to non-linearity in climatic physics, neural networks are suitable to predict these meteorological processes. Back Propagation algorithm using gradient descent method is the most important algorithm to train a neural network for weather forecasting. Back propagation algorithm suffers from several problems. In this paper, in order to overcome some of these problems, an integrated back propagation based genetic algorithm technique to train artificial neural networks is proposed. In the proposed technique, back propagation is combined with genetic algorithm in such a way that the pitfalls of the algorithm get converted to benefits. The results and comparison of the technique with the previous one are enlisted along with. ©2010 IEEE. Source

Singh G.,Rimt Iet | Siddique R.,Thapar University
Construction and Building Materials

The abrasion resistance and strength properties of concrete containing waste foundry sand (WFS) were investigated. Sand (fine aggregate) was replaced with 0%, 5%, 10%, 15% and 20% of WFS by mass. The water-to-cement ratio and the workability of mixtures were maintained constant at 0.40 and 85 ± 5 mm, respectively. Properties examined were compressive strength, splitting tensile strength, modulus of elasticity and abrasion resistance expressed as depth of wear. Test results indicated that replacement of sand with WFS enhanced the 28-day compressive strength by 8.3-17%, splitting tensile strength by 3.6-10.4% and modulus of elasticity by 1.7-6.4% depending upon the WFS content, and showed continuous improvement in mechanical properties up to the ages of 365 days. Inclusion of WFS as sand replacement significantly improved the abrasion resistance of concrete at all ages. Strong correlation exists between the abrasion resistance and each of the mechanical properties investigated. © 2011 Elsevier Ltd. All rights reserved. Source

Kaur A.,Rimt Iet | Singh P.,Guru Nanak Institutions | Rattan D.,B.B.S.B.E.C. Fatehgarh Sahib
ICSPS 2010 - Proceedings of the 2010 2nd International Conference on Signal Processing Systems

Automatic Speech segmentation is one of the foremost important field for controlling the simulation of speech without intervening of human being. Segmenting the continuous speech signal according to the phonetic transcription is a fundamental task in any voice activated system. Manual segmentation is tedious, time consuming and error prone. Automatic segmentation is not faultless, but it is inherently consistent and results are reproducible. In spite of the endless efforts made in this field, there is no Speech Segmentation System in the market for Punjabi on large vocabulary, though speaker independent systems are available for the languages like English, Tamil. It is a well known fact Syllable based systems perform better than phoneme or word based systems. In our work, we are presenting an effective method for segmentation of Punjabi Speech into syllable like Basic units for ASR systems. © 2010 IEEE. Source

Gupta A.K.,Rimt Iet | Sadawarti H.,Rimt Iet | Verma A.K.,Thapar University
WSEAS Transactions on Communications

A number of routing protocols has been proposed in recent years for possible use of Mobile Ad Hoc Networks in various application areas such as military, govt. etc. In this paper we have presented a comprehensive review of these protocols with a particular focus on their security aspects. Further we have presented a comparison of some of the existing Routing Protocols of MANETs. The base criteria for comparison is routing methodologies and the information used to make routing decisions. All the protocols have to meet five security requirements: confidentiality, integrity, authentication, non-repudiation and availability, with respect to which the analyses of secure versions of proposed protocols are discussed. Source

Gupta A.K.,Rimt Iet | Verma A.K.,Thapar University | Sadawarti H.,Rimt Iet
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, ACAI 2011

Ant algorithms and swarm intelligence systems have been offered as a novel computational approach that replaces the traditional emphasis on control, preprogramming and centralization with designs featuring autonomy, emergence and distributed functioning. These designs provide scalable, flexible and robust, able to adapt quickly changes to changing environments and to continue functioning even when individual elements fail. These properties make swarm intelligence very attractive for mobile ad hoc networks. These algorithms also provide potential advantages for conventional routing algorithms. Ant Colony Optimization is popular among other Swarm Intelligence Techniques.In this paper a detailed comparison of different Ant based algorithms is presented. The comparative results will help the researchers to understand the basic differences among various existing Ant colony based routing algorithms. © 2011 ACM. Source

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