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Intelligent Real Time Data Scan Module for Improved System Performance of Distributed Flight Test Instrumentation System Architecture

ABSTRACT—Configuring and designing on-board flight test instrumentation for a modern fighter aircraft is a real challenge. Flight Test Instrumentation (FTI) System has to acquire data from large number of sensors on aircraft. It demands distributed acquisition and centralized processing based flight test instrumentation as the sensors and data acquisition units are spread across large area of the aircraft. Acquisition of data in real time from large numbers of sensors, formatting minor frames as per telemetry standards, and real time data telemetry is a critical task as load on process is very high. This paper brings out a technique for relieving great extent processor load from processor participating to exchange the minor frame data and on-board storage data between remote acquisition unit (RAU) and data center (DACENT) with the help of Intelligent Real Time Data Scan Module(IRDSM). This paper also brings out the detail design approach adopted for IRDSM and significant performance improvement gained. Common design methodology adopted for DACENT and RAU are also brought out here. Self test capabilities of the module, component count reduction for better reliability, design of registry structure, process of screening at the module level for better reliability, extensive testing of modules with different configurations, etc, are also discussed. Issues encountered during the development phase are brought in this paper.

Published by: Madhusudana Rao Vanamala, Vijay V Patel, Prasad NNSSRK

Author: Madhusudana Rao Vanamala

Paper ID: V2I6-1190

Paper Status: published

Published: December 6, 2016

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Hybrid Image Compression using DCT and Fuzzy Logic

Abstract— Today there has been big advancement in digital technology that has led to the development of various easily usable devices and methods specially in the fields of communications and data transfer to a longer distances. The transmission of data in the form of documents, images, voice etc.is now reachable to all parts of the society and the services are affordable to a larger number of people. An important aspect is data compression and for that matter Image compression, as images form a larger part of data being exchanged over the internet through social networking and messaging sites and apps all over the world. Among all the various kinds of data images and videos constitute the bulkiest data. Thus, need for compressing the image and video files is an important aspect in data communication. In this research work we present a technique for image compression, using Discrete Cosine Transform and Fuzzy Logic Techniques. The algorithm used in this paper is tested along with several images and the results are compared with other techniques. Our method shows an improved performance both in compression ratio as well as image perceptibility.

Published by: Upendra Kumar Srivastav, Harikesh Pandey

Author: Upendra Kumar Srivastav

Paper ID: V2I6-1189

Paper Status: published

Published: December 5, 2016

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Research Paper

Self- Confidence among Dyscalculic Elementary School Students of Shimla District

ABSTRACT The main objective of the present study is to compare the dyscalculic elementary school students on self- confidence in relation to their gender and locality. Null hypothesis were framed in regard to the objective. Investigator administered Self-Confidence Inventory, developed by Dr. Rekha Gupta (2013), to the sample of 60 dyscalculic school students of 8th class drawn from randomly selected schools of Shimla district. For the comparison of students on self-confidence 2x2 ANOVA was used. No significant differences existed among rural and urban dyscalculic elementary school boys and girls on self-confidence. .

Published by: Jeewan Jyoti

Author: Jeewan Jyoti

Paper ID: V2I6-1186

Paper Status: published

Published: December 5, 2016

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An Enhanced Image Descriptor Algorithm for Image Retrieval using SIFT – PCA

Due to the growth of internet and social media sites there has been a proliferation of images which makes image retrieval a challenging job. The proposed an Enhanced Image Descriptor Algorithm for Image Retrieval using SIFT-PCA involves three steps: feature detection (Harris Detector), feature description (SIFT), dimension reduction (PCA). The features of all images in database are retrieved and stored in feature database in the form of histogram. When a query image is given, the generated histogram of query image is matched with feature database of all image histograms and those images with minimum distance are retrieved. Euclidean distance is used as the distance measure. For analyzing the performance of the algorithm, average precision and recall are used. Precision is the measure of ability of a system to present all the relevant items and Recall is defined as the ability to present only relevant items.

Published by: Dr. R. Malini

Author: Dr. R. Malini

Paper ID: V2I6-1183

Paper Status: published

Published: December 5, 2016

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A Study on Customer Attitude Towards Online Shopping in India and its Impact: With Special Reference to Solapur City

The growing no. of internet user in India provides a bright prospect for online shopping. If E-marketers know the key factors affecting the behavior of customers and its relationship, then they can formulate their marketing strategies to convert potential customers into loyal ones and retaining existing online customers. This researcher paper highlights on factors which online Indian customers keep in mind while shopping. After completion of study Researchers found that cognition, sensed usefulness, the comfort of use; sensed enjoyment and security are the five components which affect consumer perceptions about online purchasing. The Internet has changed the way consumers purchase goods and services at the same time many companies have started using the Internet with the objective of cutting marketing costs, thereby reducing the price of their product and service in order to stay ahead in highly competitive markets. Companies also use the Internet to convey, communicate and disseminate information to sell the product, to take feedback and also to conduct satisfaction surveys with customers. Customers use the Internet not only to purchase the product online but also to compare prices, product features and after sale service facilities they will receive if the purchase the product from a particular store. Many experts are optimistic about the prospect of online business.

Published by: Prof. Pritam P Kothari, Prof. Shivganga S. Maindargi

Author: Prof. Pritam P Kothari

Paper ID: V2I6-1180

Paper Status: published

Published: December 3, 2016

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k-Means Clustering based Lexicon Analytical Model for Multi-Source News Classification

The supervised models have been found more efficient for the purpose of news classification. The major goal of the news classification research is to improve the accuracy while decreasing the elapsed time. It is always difficult for the people to read all of the news on their favourites portal which have listed over the given portal. In this research, an approach is KNN lexicon technique which is used to obtain the popular news list from thousands or hundreds of online news available through APIs. This approach uses extraction summarization for summarizing the keywords thereby selecting the original sentences and putting it together into a new shorter text explaining the overall overview of the news data. Then the lexicon analysis would be performed over the given text data and then final classification of the news is done using k-nearest neighbor. The results would be obtained in the form of the parameters of accuracy, elapsed time, etc.

Published by: Kamaldeep kaur, Maninder Kaur

Author: Kamaldeep kaur

Paper ID: V2I6-1179

Paper Status: published

Published: December 2, 2016

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