Notice Board :

Call for Paper
Vol. 5 Issue 10

Submission Start Date:
Oct 01, 2018

Acceptence Notification Start:
Oct 10, 2018

Submission End:
Oct 15, 2018

Final MenuScript Due:
Oct 30, 2018

Publication Date:
Nov 01, 2018
                         Notice Board: Call for PaperVol. 5 Issue 10      Submission Start Date: Oct 01, 2018      Acceptence Notification Start: Oct 10, 2018      Submission End: Oct 15, 2018      Final MenuScript Due: Oct 30, 2018      Publication Date: Nov 01, 2018




Volume III Issue III

Author Name
Mr. Vinay Dhakad, Dr. Gyanendra Singh, Mr. Praveen Singh Tomar
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 3
Abstract
Finite element analysis is an effective method of determining the static performance of structures for three reasons which are saving in design time, cost effective in construction and increase the safety of the structure. Previously, it is necessary to used advanced mathematical methods in analysis large structures, such as bridges, tall buildings and other. More accuracy generally required more elaborate techniques and therefore a large friction of the designer’s time could be devoted to mathematical analysis. Finite element methods free designer’s from the need to concentrate on mathematical calculation and allow them to spend more time on accurate representation of the intended structure and review of the calculated performance.
PaperID
2016/IJTRM/3/2016/6391

Author Name
Sangeeta Bamboriya, Prof Jitendra Dangra
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 3
Abstract
Now in these day individuals and organizations are keep their data in digital formats and provide to their clients in on demand manner. Therefore data on hosting servers are increases significantly additionally a number of users try to access their data thus traffic is also increases in these servers. For reducing the maintenance cost of data, cloud managers outsource data to other third party servers to keep preserve data therefore for managing user’s data privacy and sensitivity this server usage cryptographic technique. Due to storage and access of data need to regulate storage mechanism. Therefore require to improve user trust during the data outsourced in third parties. Therefore a new technique is required to manage user trust when the data is hosted on unknown host. To keep in track the security and privacy on data trust management technique is developed. The proposed solution includes design of cryptographic data storage services and sharing mechanism to demonstrate o
PaperID
2016/IJTRM/3/2016/6471

Author Name
Dr. Tripti Arjariya, Devendra Kumar Shukla
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 3
Abstract
In the recent years, the technology of wireless sensor networks has gained a lot of importance. Wireless sensor networks are a special case of ad-hoc wireless networks. A wireless sensor network is a collection of sensor nodes that communicate through wireless links to work together to carry out functions. Proposed methodology present a novel routing protocol for multipath energy efficient routing over sensor network that encapsulate advantage of two different predefine method in order to overcome their limitation. First K-means and second one is Genetic Algorithm. Proposed protocol tries to provide supplement support to lower energy node at heavy traffic by higher energy node from lower traffic of network. In this work Genetic Algorithm and the K-Means approach has been use as a hybrid approach to find the Resident potential energy field and swap node from resident potential energy field to depth potential energy field. This approach helps to enhance the network survival.
PaperID
2016/IJTRM/3/2016/6474

Author Name
Shiv Pal Mishra, Akhil Pratap Singh
Year Of Publication
2016
Volume and Issue
Volume 3 Issue 3
Abstract
ECG signal processing in an embedded platform is a challenge which has to deal with several issues. One of the commonest problems in ECG signal processing is baseline wander removal and noise suppression, which determine posterior signal process. In this report, two filtering techniques are presented and implemented to work on a Shimmer platform. Baseline wander removal based on cubic splines and morphological filtering are evaluated to check whether are suitable for real-time execution. The use of cubic splines is made to estimate the baseline wander in an ECG signal and then subtract it from the input dataset to remove the baseline wander. Morphological operators are useful for signal processing and noise suppression. These techniques have been implemented and tested by a wavelet-based delineation algorithm and results are provided for comparison purposes.
PaperID
2016/IJTRM/3/2016/6481