Engineering Journal

Monday, June 4, 2018

Solid Waste Management

In this work, we have sought to outline the basics of conventional hydro-mechanical flight control and its limitations, before addressing how smart materials, specifically shape memory alloys, can help overcome the inherent drawbacks of hydro-mechanical control and also allow design and reliable control of more aerodynamically feasible wing configurations. The advantages of smart materials and the difficulties associated with their implementation in mass produced are also delineated.

By Dr. Mohan Krishna S A | S V Gunaraman, | Sandeep D"Importance, Relevance and Applications of Smart Materials in Aircraft Control"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14405.pdf

Direct URL: http://www.ijtsrd.com/engineering/mechanical-engineering/14405/importance-relevance-and-applications-of-smart-materials-in-aircraft-control/dr-mohan-krishna-s-a

peer reviewed journal, manuscript submission, call for paper engineering

Importance, Relevance and Applications of Smart Materials in Aircraft Control

By Dr. Mohan Krishna S A | S V Gunaraman, | Sandeep D"Importance, Relevance and Applications of Smart Materials in Aircraft Control"

Matlab Based Image Compression Using Various Algorithm

Image Compression is extremely intriguing as it manages this present reality issues. It assumes critical part in the exchange of information, similar to a picture, from one client to other. This paper exhibits the utilization MATLAB programming to execute a code which will take a picture from the client and returns the compacted structure as a yield. WCOMPRESS capacity is utilized which incorporates wavelet change and entropy coding ideas.

This paper displays the work done on different sorts of pictures including JPEG (Joint Photographic Expert Group), PNG and so on and broke down their yield. Different pressure procedures like EZW, WDR, ASWDR, and SPIHIT which are exceptionally regular in picture handling are utilized

By Beenish Khan | Ms. Poonam | Mr. Mohammad Talib"Matlab Based Image Compression Using Various Algorithm"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14394.pdf

Direct URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14394/matlab-based-image-compression-using-various-algorithm/beenish-khan

paper publication, submit paper online, indexed journal

An Approach for Sentiment Analysis using Neural Network

Sentiment analysis has a wide range of applications specially to know product reviews, movie reviews, and political sentiment. With the growth of social media as important medium for people to express their opinion, Sentiment analysis along with usage of cell phones has also become important to find out popularity of an issue or product, specifically, to know future about events/issues of society. In current study, we present a way to predict future events of society were by performing sentiment analysis on un-structured knowledge available to us.

For this research we take assistance from the Machine Learning algorithmic rules and neural networks. The paper explains how results of sentiment analysis can be derived for every unknown issue (which may or about to occur in near future) of society using existing unstructured knowledge that already exists on various social media platforms for the user. The part of un-structured knowledge is text of people from online blogs, tweets, reviews, Facebook posts and comments.

By Varsha Hole | Madhuri Chavan | Tanuja Gavhane | Prof. Sunil Yadav"An Approach for Sentiment Analysis using Neural Network"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14452.pdf

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/14452/an-approach-for-sentiment-analysis-using-neural-network/varsha-hole

open access journal of engineering, ugc approved journals for engineering, special issue publication

NewSociRank: Recognizing and Ranking Frequent News Topics Using Social Media Factors

Mass media sources such as news media used to inform us of daily events before. Now a day, unlike news media, social media services like Twitter provide a huge amount of user-generated data, which contain informative news-related content. For these resources to be useful, we need to find a way to filter the noise and capture only the content based on its similarity to the news media. However, even after noise is removed, information overload may still exist in the remaining data-hence, it is convenient to prioritize it for consumption.

To achieve prioritization, the information must be ranked in order of estimated importance considering three factors. First, the media focus(MF) of a topic, the temporal prevalence of a particular topic in the news media. Second, user attention (UA), the temporal prevalence of the topic in social media.

Last, the interaction between the social media users who mention this topic indicates the strength of the community discussing it, and can be regarded as the user interaction (UI) toward the topic. We propose an unsupervised framework'”NewSociRank'”which recognizes the news topics prevalent(common) in both social media and the news media, and then ranks them by relevance(popularity) using their degrees of MF, UA, and UI.

By Harshitha H | Dr. Mohammed Rafi"NewSociRank: Recognizing and Ranking Frequent News Topics Using Social Media Factors"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd12716.pdf

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/12716/newsocirank-recognizing-and-ranking-frequent-news-topics-using-social-media-factors/harshitha-h

international journals in engineering, paper publication for engineering, conference issue publication

Sunday, June 3, 2018

A Frame Study on Sentiment Analysis of Hindi Language Using Machine Learning

Because of increment in measure of Hindi substance on the web in past years, there are more prerequisites to perform feeling examination for Hindi Language. Conclusion Analysis (SA) is an undertaking which discovers introduction of one's feeling in a snippet of data as for an element. It manages examining feelings, sentiments, and the state of mind of a speaker or an author from a given snippet of data. Estimation Analysis includes catching of client's conduct, different preferences of a person from the content.

In this research study HindiSentiWordNet (HSWN) to find the overall sentiment associated with the document; polarity of words in the review are extracted from HSWN and then final aggregated polarity is calculated which can sum as either positive, negative or neutral. Synset replacement algorithm is used to find polarity of those words which don't have polarity associated with it in HSWN.

Negation and discourse relations which are mostly present in Hindi movie review are also handled to improve the performance of the system. For this genre we present three different approaches for performing sentiment classification such as- 1. Using Subjective Lexicon 2. N-Gram Method 3. Weighed N-Gram

By Sheetal Sharma | S K Bharti | Raj Kumar Goel"A Frame Study on Sentiment Analysis of Hindi Language Using Machine Learning"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14397.pdf

Direct URL: http://www.ijtsrd.com/engineering/computer-engineering/14397/a-frame-study-on-sentiment-analysis-of-hindi-language-using-machine-learning/sheetal-sharma

international peer reviewed journal, paper publication for engineering, conference issue publication

Implementation of Rotation and Vectoring-Mode Reconfigurable CORDIC

CORDIC or CO-ordinate Rotation Digital Computer is a fast, simple, efficient and powerful algorithm used for diverse Digital Signal Processing applications. Primarily developed for real-time airborne computations, it uses a unique computing technique which is especially suitable for solving the trigonometric relationships involved in plane co-ordinate rotation and conversion from rectangular to polar form.

It comprises a special serial arithmetic unit having three shift registers, three adders/subtractors, Look-Up table and special interconnections. In this project A CORDIC-based processor for sine/cosine calculation was designed using VHDL programming in Xilinx ISE 13.2. The CORDIC module was tested for its functionality and correctness by test-bench analysis. Subsequently, FPGA implementation of the CORDIC core followed by Chip Scope Pro analysis of the output logic waveforms was performed.

By Kothapally Mounika | P. Pavan Kumar | K. Shobha Rani"Implementation of Rotation and Vectoring-Mode Reconfigurable CORDIC"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd14396.pdf

Direct URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14396/implementation-of-rotation-and-vectoring-mode-reconfigurable-cordic/kothapally-mounika

peer reviewed journals, manuscript submission, call for paper engineering