Friday 11 December 2015

A Secure message exchange and anti-jamming mechanism in manet

International Journal for Scientific Research and Development

Author(s):
S Sevvanthi , Vivekanandha College Of Engineering Forr Women; G Arul Kumaran, Vivekanandha College Of Engineering For Women

Keywords:
MANET, NCPR

Abstract:
Secure neighbor discovery is the fundamental process in the MANET deployed in aggressive environment. It refers to the process that nodes exchange messages to discover and authenticate each other. It is defenseless to the jamming attack in which the adversary intentionally transmits signals to prevent neighboring nodes from exchanging messages. Existing anti-jamming communications depends on JR-SND. The JR-SND, a jamming-resilient secure neighbor discovery scheme for MANETs based on Random spread-code pre-distribution and Direct Sequence Spread Spectrum (DSSS). In Existing, they prevent the jamming and introduce the anti-jamming mechanism using DSSS introduce the secure message exchange mechanism and prevent the collisions during packet transmission. But in this we lack of introducing to detect the selfish and malicious nodes in the network. For this, in the Future Work we will enhance the work by detecting the selfish nodes using Watchdog and Neighbor Coverage-based Probabilistic Rebroadcast Protocol (NCPR).

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Friday 27 November 2015

NATIONAL CONFERENCE ON ICT : IJSRD



NATIONAL CONFERENCE ON ICT : IJSRD:


IJSRD is a leading e-journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work.

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Wednesday 25 November 2015

“NATIONAL CONFERENCE ON ICT” Transforming ICT to IoT In association with IJSRD – International Journal for Scientific Research & Development



NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.
  1. Pedagogy for effective use of ICT in Engineering Education.
  2. IoT for everyday life.
  3. IoT for smart house.
Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani
Ms. Neelima Shah
Ms. Pooja Shah
Convener
Dr. S. G. Desai
 Coordinators
 Technical Committee
Prof. Vijay Gadhavi (SALITER)
Prof. Dushyant Rathod (SCE)
Prof. Mayank Parekh (SCE)
Prof. Tejas Mehta (SETI)
Prof. Nidhi Barot
Prof. Pooja Mehta
Prof. Archana Patel
Prof. Ankita Gandhi

Organized by
SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in
Publication Partner
Logo_IJSRD.png
International Journal for Scientific Research & Development
Website : www.ijsrd.com

Monday 9 November 2015

NATIONAL CONFERENCE ON ICT : IJSRD : 20th January 2016

NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD– International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things).


Organised by

SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in


Publication Partner

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com

Thursday 24 September 2015

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology : #IJSRD

NCIL – 2015 : IJSRD Publication Partner

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015
NCIL - 2015

Objective

We are pleased to announce the 2nd National Conference on “Student-driven Research for Inspired Learning” (NCIL 2015) in Science and Technology on 16 - 17 October 2015 being organized by Embedded Systems and Robotics Centre (ESRC) and Department of Electronics, Maharaja Agrasen College, University of Delhi.
The primary objective of this conference is to provide a forum to share the wide and varied practices and initiatives of the student driven and institutionally-supported research at the undergraduate/ postgraduate level which leads to the combination of factors necessary for pedagogical effectiveness, enhanced learning outcomes, research productivity, promote networking and stimulate discussion.
The spot light of the conference shall vary widely from broad research to technical skills with focus on group research where students are exposed to open-ended problems, but in a more structured and less resource intensive way than one-on-one mentoring typical of research experience for undergraduate/ postgraduate programs.

Call for Papers

We invite Educators, Scholars and Students to contribute to the conference with papers/posters that address themes mentioned above. Faculty members / Students interested to attend the conference may register by filling registration form attached below latest by 10th September 2015. Early submissions are welcome. The papers received will be reviewed by a panel of experts and the authors of the selected papers will be informed accordingly.
All papers presented in the conference shall be published in Special edition of International Journal  for Scientific Research & Development (ISSN No (online). 2321-0613. Impact Factor: 2.39)

Publication Partner

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com

Wednesday 16 September 2015

Manufacturing Techniques of Fibreglass Reinforced Composites

IJSRD found Good research work on Mechanical research area.

Abstract— Combining a high strength fibre with a polymeric matrix produces a composite material with higher stiffness and strength. There are many techniques to produce composite materials, among which few techniques are discussed here based on its process, capabilities and application of composite parts. Among which hand lay-up, vacuum infusion, resin transfer molding and sheet molding compound are widely used. The prepreg is widely used for manufacturing composite parts.

Key words: Fibreglass Cloth, Fibre Reinforced Composites, Prepreg, Vacuum Infusion, Sheet Molding Compound

Introduction

The global nature of today’s reinforced plastics industry creates a demand from all over the world. To produce a composite item, two basic components are required, these being a synthetic resin and a strong fibre [1]. The resin, which can be in the form of a polyester, epoxy or vinyl ester, is normally supplied as a viscous liquid, which sets to a hard solid when suitably activated [1]. The fibre may be glass, carbon, or a combination of some or all of these. What makes composites unique is the fact that the material of construction and the end product are produced simultaneously. Using a suitable mould, layers of fibre are impregnated with activated resin until the required thickness is achieved [1]. After completion, the mould is removed, which further can be used to produce more no. of identical items. These products are FRP cylinders, FRP sheets, FRP components for Transformers, and switchgears products. In the manufacturing of the Fibreglass epoxy sheets are more difficult tasks as it has many intermediate processes to manufactured sheets. The sheets are the combination of the fibreglass cloth and resin matrix that bond with the fibreglass cloth to make highly strength composites. Glass fibres fall into two categories: low-cost general-purpose fibres and premium special-purpose fibres. Over 90 % of all glass fibres are general- purpose products. These fibres are known by the designation E-glass. The remaining glass fibres are premium special-purpose products [2]. Specialpurpose fibres, which are of commercial significance in the market today, include glass fibres with high corrosion resistance (ECR-glass), high strength (S-, R-, and T Eglass), with low dielectric constants (D-glass), high-strength fibres, and pure silica or quartz fibres, which can be used at ultrahigh temperatures[2].

Fig. Schematic Illustration of the Vacuum Enhanced Resin Infusion Technology (Verity)

Vacuum Infusion:

The most popular term to describe vacuum infusion processes are Vacuum Assisted Resin Transfer Moulding (VARTM), Vacuum Assisted Resin Infusion Moulding (VARIM) etc, basically the same technology, and describe methods based on the impregnation of dry reinforcement by liquid thermoset resin driven under vacuum, and this technique made to reduce the void content inside the molded composites. With vacuum bag moulding, the bags are used to evacuate the air from laminate and to generate the atmospheric pressure required for compaction over the mold [7]. Infusion processes are plagued by limitations such as lower fibre volume fraction, lack of uniform resin distribution, higher porosity, control on thickness of part, clogging of resin and vacuum feed lines. CSIR-NAL has developed a proprietary infusion process called VERITy (Vacuum Enhanced Resin Infusion Technology), Kundan et al. (2013), to overcome the above limitations. The process is designed in such a way that it is scalable from a laminate level to a complex cocured primary structure like the wing of a transport aircraft. A schematic of the VERITy process is shown in Fig

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Friday 21 August 2015

Emergent Artificial Intelligence

What happens when a computer can learn on the job?
Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy.
Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future.
Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients.
Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.
On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.
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Tuesday 18 August 2015

Fuel cell vehicles

Zero-emission cars that run on hydrogen
“Fuel cell” vehicles have been long promised, as they potentially offer several major advantages over electric and hydrocarbon-powered vehicles. However, the technology has only now begun to reach the stage where automotive companies are planning to launch them for consumers. Initial prices are likely to be in the range of $70,000, but should come down significantly as volumes increase within the next couple of years.
Unlike batteries, which must be charged from an external source, fuel cells generate electricity directly, using fuels such as hydrogen or natural gas. In practice, fuel cells and batteries are combined, with the fuel cell generating electricity and the batteries storing this energy until demanded by the motors that drive the vehicle. Fuel cell vehicles are therefore hybrids, and will likely also deploy regenerative braking – a key capability for maximizing efficiency and range.
Unlike battery-powered electric vehicles, fuel cell vehicles behave as any conventionally fuelled vehicle. With a long cruising range – up to 650 km per tank (the fuel is usually compressed hydrogen gas) – a hydrogen fuel refill only takes about three minutes. Hydrogen is clean-burning, producing only water vapour as waste, so fuel cell vehicles burning hydrogen will be zero-emission, an important factor given the need to reduce air pollution.
There are a number of ways to produce hydrogen without generating carbon emissions. Most obviously, renewable sources of electricity from wind and solar sources can be used to electrolyse water – though the overall energy efficiency of this process is likely to be quite low. Hydrogen can also be split from water in high-temperature nuclear reactors or generated from fossil fuels such as coal or natural gas, with the resulting CO2 captured and sequestered rather than released into the atmosphere.
As well as the production of cheap hydrogen on a large scale, a significant challenge is the lack of a hydrogen distribution infrastructure that would be needed to parallel and eventually replace petrol and diesel filling stations. Long distance transport of hydrogen, even in a compressed state, is not considered economically feasible today. However, innovative hydrogen storage techniques, such as organic liquid carriers that do not require high-pressure storage, will soon lower the cost of long-distance transport and ease the risks associated with gas storage and inadvertent release.
Mass-market fuel cell vehicles are an attractive prospect, because they will offer the range and fuelling convenience of today’s diesel and petrol-powered vehicles while providing the benefits of sustainability in personal transportation. Achieving these benefits will, however, require the reliable and economical production of hydrogen from entirely low-carbon sources, and its distribution to a growing fleet of vehicles (expected to number in the many millions within a decade).
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http://www.ijsrd.com/SubmitManuscript

Tuesday 11 August 2015

Special Issue For Image Processing



Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

What is Image Processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them. 
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us
Image processing basically includes the following three steps.
  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing
The purpose of image processing is divided into various groups. They are:
  • Visualization - Observe the objects that are not visible.
  • Image sharpening and restoration - To create a better image.
  • Image retrieval - Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing
Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….
Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition
Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.
Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.
 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.
Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.
And many other applications…..
To contribute your research work in Image processing please prepare an article on it and submit to us. 

http://www.ijsrd.com/SpecialIssuehttp://www.ijsrd.com/SubmitManuscript


Wednesday 5 August 2015

Call for Special Issue of Image Processing # IJSRD

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

What is Image Processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them. 
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us
Image processing basically includes the following three steps.
  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing
The purpose of image processing is divided into various groups. They are:
  • Visualization - Observe the objects that are not visible.
  • Image sharpening and restoration - To create a better image.
  • Image retrieval - Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing
Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….
Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition
Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.
Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.
 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.
Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.
And many other applications…..
To contribute your research work in Image processing please prepare an article on it and submit to us.

Saturday 28 February 2015

#IJSRD #New Milestone #Leading E-Journal #India

Thanks 2 all Authors For Making Fastest Growing E-Journal of INDIA.
IJSRD Successfully Completed 24 Issue.
Submission is open For Volume 3 - Issue 1 ,2015
Papers Received - More then 10000
Total Authors- More then 12000
Accepted Papers - More Then 3200