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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.

Emergent Artificial Intelligence #ijsrd


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.

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.

Last Date for paper publication of special issue: 25 August 2015

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.

Websites for the Win: Four Home Pages

The Blog

We love blogs, but we love websites, too. Small businesses, personal portfolios, non-profit organizations, government websites — bring ’em on! These four sites are each beautiful, effective, and built on

Sandyfoot Farm

Purple carrots, green grass, red tomatoes — rather than clashing, the images on Sandyfoot Farm’s site suggest abundance and health. Popular free theme Sela is the perfect backdrop for these Virginia farmers’ vibrant vegetables.

sandyfootSela‘s built-in “front page” template gives them space for a welcome note and and three areas highlighting key elements of their business like farmers’ market appearances, farm shares, and their farm blog. The theme’s default sans-serif font plays well with the Sandyfoot logo and keeps things feeling streamlined, even amidst a riot of color.

Only in the Peg

Ever thought about visiting Winnipeg, Canada? You will after seeing Only in the Peg, the adorable online showcase the city’s tourism board built using the premium Adventure theme. While the site retains a blog-style…

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#ijsrd What is an electronic journal ?

What is an electronic journal?

An electronic journal is a periodical publication which is published in electronic format, usually on the Internet.

Electronic journals have several advantages over traditional printed journals:

  1. You can search the contents pages and/or the full text of journals to find articles on a certain subject.
  2. You can read journal articles on your desktop, you don’t have to be in the Library.
  3. You can e-mail articles to yourself or download them for printing.
  4. The article that you want to read will always be available, even when the Library is closed.
  5. Hypertext links allow you to move to different sections within individual journals or articles and can link you to related resources on the Internet.
  6. Journals can include more images and audio-visual material.
  7. Journals can be interactive – you can e-mail the author or editor with your comments.

Many electronic journals which are available are electronic versions of journals which exist in print. For example, if you wanted to see the journal called “Man” this journal is available physically on Level F in the Library, but is also available to SOAS users in electronic format.

Some journals are only available in electronic format and although some of these journals are of a high “academic” quality, please be aware that not all of them have gone through the same process of academic peer review as traditional print journals.

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