National Conference on ‘Advances in Computing and Communications | #NCACC-2016 | IJSRD E – Journal


National Conference on ‘Advances in Computing and Communications’ 

NCACC-2016

A Conference Organized by Guru Nanak Dev Engineering College, Bidar National Conference on ‘Advances in Computing and Communications’ NCACC-2016 in collaboration with International Journal of Scientific Research and Development (#IJSRD) on 22nd and 23rd October-2016. The aim of NCACC-2016 is to provide a platform for researchers and practitioners, in all areas of evolutionary computing and communication engineering to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of computing and communications in solving complex real life problems.

Best Paper Award: Outstanding papers presented at NCACC-2016 will be awarded with certificate and cash prize.

SUGGESTED TOPICS (NOT EXHAUSTIVE):

  • Communications
  • Electromagnetic Engineering
  • Computing
  • Systems and Security
  • Signal Processing
  • VLSI end embedded systems

All accepted papers from NCACC-2016 will be published in International Journal for Scientific Research & Development (#IJSRD). Impact Factor of IJSRD is 2.39.

Last date of submission: 22nd September 2016.

For more Infomation about NCACC-2016 Visit us @ IJSRD

ijsrd_ncacc_2016

Organized by:

Guru Nanak Dev Engineering College, Bidar, Karnataka
Mailoor Road, Bidar – 585 403
Karnataka, India
Phone: 08482 – 226949, 235214
Email: gndecbadmin@gndecb.org

Publication Partner:

IJSRD | International Journal for Scientific Research & Development
Website : http://www.ijsrd.com

RTIME-2k16 | IJSRD Conference 2016


Nalla Narasimha Reddy Group of Institutions

School of Engineering

Department of Mechanical Engineering

presents

National Conference on

RECENT TRENDS & INNOVATIONS IN MECHANICAL ENGINEERING

“RTIME-2k16”

In association with

School of Engineering ,Nalla Narasimha Reddy Group of Institutions, Hyderabad,affiliated to the JNTU, Hyderabad and approved by AICTEis organizing one dayconference named “RTIME-2k16”on 25th April2016 in association with IJSRD. 

The National Conference on Recent Trends & Innovations in Mechanical Engineering (RTIME-2K16) will be a national forum for academicians, researchers and practitioners interested in the advances of mechanical engineering. The objective of RTIME-2K16 is to strengthen the relationship between research scholars, academicians, working professionals and scientists. The conference will focus on technical challenges, research updates and recent innovations. The conference will also have keynote addresses by eminent professionals.

Researchers working on following areas can submit their papers under following themes of conference.

  • Design Engineering
  • Material Science
  • Robotics
  • S Q C
  • Engineering Related Topics
  • Manufacturing Engineering
  • Thermal Engineering
  • Industrial Engineering
  • Automobile Engineering & Other Mechanical

Organized by,

School of Engineering,

Nalla Narasimha Reddy Group of Institutions

Chowdariguda(V), Korremula X Roads,Ghatkesar(M), 

Ranga Reddy District-500088

Publication Partner

International Journal for Scientific Research & Development

Website : www.ijsrd.com

A Review on Edge Detection for Pharmaceutical Drugs | IJSRD Vol. 4, Issue : 1


A Review on Edge Detection for Pharmaceutical Drugs

Author(s):

Shilpa , Haryana Engineering college jagadhri.; Arun Bhatia, haryana engineering college jagadhri

Keywords:

Pharmaceutical drugs, image processing, Edge detection, Canny, Sobel, Prewitt Center of mass

Abstract

Edge detection is a necessary tool in image processing, machine vision and computer vision and plays a vital role in the field of feature detection and feature extraction. Edge detection has various applications in image processing such as image automation, remote sensing, criminology, security, medicines, military applications etc. Edge detection has a major role in pharmaceutical industries. In Pharmaceutical industries, drugs i.e. Tablets and Capsules are produced in a large scale every day. These tablets and capsules may not be produced precisely i.e. .they are in damaged form when produced. It could also happen that drugs are missing in a blister. So, Proper inspections of these pharmaceutical drugs are required. So edge detection helps in inspection .This paper presents comparative analysis of various edge detection techniques.

Other Details

Paper ID: IJSRDV4I10003
Published in: Volume : 4, Issue : 1
Publication Date: 01/04/2016
Page(s): 4-7

Article Preview

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#IJSRD Cloud Computing : Achieve CPEL Criterion in Cloud with High Bandwidth and Cost Reduction


As we all know that cloud computing is one of the trending technology for data storage and sharing. Although its beneficial, it has to evolve more to be efficient in various models. One of the article submitted to IJSRD journal by Vishakha Om.Gupta and Prof. Yogesh Rai from Shree Institute of Science & Technology, RGPV University, Bhopal is focusing on Achieving CPEL Criterion in Cloud with High Bandwidth and Cost Reduction.

They briefly introduce their work as under…

Cloud computing implementation is fast and simple with benefits like, Cost reduction by gaining a worldclass IT infrastructure without the hardware, secure access to critical information 24/7 using only a Web browser, ability to stay mobile and many more. According to the survey 85 per cent of public sector organizations are using public cloud services, while on the other side data owner having concern about data confidentiality and query privacy due to the lost control of the infrastructure. To address these issues a criterion called CPEL is constructed; Data confidentiality, query privacy, efficient query processing, and low in-house processing cost. Satisfying these requirements will dramatically increase the complexity of constructing query services in the Cloud. Some related approaches have been developed to address some aspects of the problem. However, they do not satisfactorily address all of these aspects. We proposed the random space perturbation (RASP) approach with traffic redundancy elimination techniques, in which practical range query is constructed by using k-nearest neighbor (kNN) and range query algorithm, and to reduce redundancy in process predictive acknowledgement algorithm and redundancy aware routing algorithm is used by this way we can achieve CPEL criterion with high bandwidth of data processing with reduced cost.

#IJSRD More over this they have written in the article published at IJSRD that their proposed models would be working as under…

RASP is combination order preserving encryption, dimensionality expansion, random noise injection, and random project because of order preserving encryption confidentiality and indexing preserved by dimensionality expansion range query processing can be achieve , Random projection is mainly used to process the high dimensional data into low dimensional data representations which provides good scaling potential and performance , random noise injection used for adding noise which in result gives proper output .

In random space perturbation, the word perturbation is used to do collapsing this process will happen according to the key value that is given by the owner. In this module the data owner have to register as owner and have to give owner name and key value. And then the user have register and get the key value and data owner name from the owner to do access in the cloud. Here user can submit their query as range query or kNN query and get their answer. We analyze and show the result with encrypted and also in decrypted format of the data for the query construct by the user. kNN query cannot be directly impose on RASP perturbated data, so we have designed a kNN query processing algorithm based on range queries .We use square ranges, instead of spherical ranges, to find the approximate kNN results, so that the RASP range query service can be used.

Fig. 1: working of RASP with kNN and Range query

Fig. 1: working of RASP with kNN and Range query

As shown in below fig.1, working of RASP with kNN and Range query service, but here authorized user can upload, download, updates the similar data which increases data processing cost, to address this problem we are using predictive acknowledgement approach which is based on byte stream processing, Byte stream means it store the file as 1 byte that is 8 bit as a sequence of file, because of these increases the file download speed while transaction between the cloud and its end user’s. As shown in below fig. 2.

Fig. 2: Predictive Acknowledgment Approach.

Fig. 2: Predictive Acknowledgment Approach

From their study shown in the article published at IJSRD, they concluded that “The key vantage of this scheme is the ability to get confidential and efficient query services with high bandwidth and reduced cost.”

To know more about such articles with innovative ideas please visit ijsrdscholarticles website.

To download more of such type of articles helping you in your research work please visit www.ijsrd.com

nearest neighbor (kNN) and range query algorithm, and to reduce redundancy in process predictive acknowledgement algorithm and redundancy aware routing algorithm is used by this way we can achieve CPEL criterion with high bandwidth of data processing with reduced cost

Apple Making a Car Isn’t as Ridiculous as You Think


ijsrd

It’s primetime for Apple to get into cars. Nowadays, automobiles aren’t, at their core, vehicles that simply move you around. They are devices in and of themselves.

At least that’s how Sam Jaffe, an analyst with Navigant Research, sees the bigger picture in light of today’s news that Apple’s putting major resources into making an electric car. “Who better to figure out how to make this work than a device company?” he says.

According to a report from The Wall Street Journal today, Apple has put hundreds of employees on the project, which is codenamed “Titan,” and being led by Steve Zadesky, a former Ford engineer who helped develop the iPod and iPhone.

It’s unclear what Apple’s longterm intentions are, but entering the car manufacturing business would be a big leap, even for a company that has already moved from computers to music to phones. Tesla is the first new American automaker to make a profit since the foundation of Chrysler, and the industry’s history is littered with the bones of others who have tried. For its self-driving cars, Google uses rejiggered Toyota vehicles and, more recently, small cars built by Roush, an industry supplier.

Yet recent changes in the auto industry could give Apple an edge over the companies that have been doing this for a century plus, Jaffe says. The rise of information technology in and around the car—the emphasis on telematics, active safety, and driver and passenger interface—is a very real trend.

Tesla’s success in the industry could be the logical precedent to Apple’s entry: More and more, automakers are becoming tech companies. Any car made today has dozens of computers inside it, so Apple would come in with some core competencies already intact. “I don’t know how you’re not somewhat worried about that as an automotive company,” says Karl Brauer, a senior analyst at Kelley Blue Book.

No, the Cupertino company doesn’t have traditional connections to the car industry, and in that sense, it is swimming upstream. But there are hints Apple has been building up resources for this endeavor for quite some time.

For one, LinkedIn shows forty-six current Apple employees who were formerly at Tesla—rumors have it the company’s offering up to $250,000 and a 60 percent raise to those who agree to cross over—and 640 Apple employees with past experience in the automotive industry. The company has also been rumored to be aggressively recruiting engineers who specialize in battery technology, though it’s unclear if Apple would apply whatever it develops to consumer devices, the automotive market, or both.

There are also subtler, but possibly noteworthy clues: In a conversation at Parsons The New School for Design in January 2014, Apple board member Mickey Drexler said, “Steve Jobs, if he had lived, was gonna design an iCar … I think what cars need is someone with a vision on design.” And, let’s not forget, Marc Newson, the famous designer who once drew up a sweet concept car for Ford, now works at Apple. Newson’s gone on the record saying Jonny Ive hates the design of American cars. It may be a stretch, but the thinking goes that perhaps some of Newson’s time at Apple would be spent remedying that.

Besides all that, Apple’s got the money. Jaffe estimates an incumbent automaker would spend $2-4 billion over seven to 10 years on a cleansheet design. Apple, which doesn’t already have the proper infrastructure and industry connections in place, may still have to build these out, which might include creating a brand new car division (and spending more money). But with the company recently achieving a market cap of more than $700 billion, even if the entire effort failed, the amount would probably be nothing more than a rounding error against the company’s massive cash hoard. Jaffe puts his guess of the value of the effort at about $5 billion.

There’s one more thing that plays to Apple’s strengths, according to Jaffe. “When you look at the major car manufactures, they’re usually assemblers of other people’s parts,” he says. “That plays to a new entrance advantage for Apple.”

Source: http://www.wired.com/2015/02/apple-making-car-isnt-ridiculous-think/?mbid=social_fb