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Tuesday, 8 April 2014

Major Projects for ECE 

Abstract


Inpainting is the art of restoring lost/selected parts of an image based on the background information in a visually plausible way. The goals and applications of inpainting are numerous, from the restoration of damaged paintings and photographs to the removal/replacement of selected objects. Exemplar based
algorithm is used for for digital inpainting of still images that attempts to replicate the basic techniques used by professional restorators. After the user selects the regions to be restored, the algorithm automatically fills-in these regions with information surrounding them. The fill-in is done in such a way that isophote lines arriving at the regions’ boundaries are completed inside. In contrast with previous approaches, the technique here introduced does not require the user to specify where the information comes from. This is automatically done (and in a fast way), thereby allowing to simultaneously fill-in numerous regions containing completely different structures and surrounding backgrounds. In addition, no limitations are imposed on the topology of the region to be inpainted. Applications of this technique include the restoration of old photographs and damaged film; removal of superimposed text like dates, subtitles, or publicity; and the removal of entire objects from the image like microphones or wires in special effects. See more major projects here

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About the Institute


IIST M.Tech Admissions 2014 -15Indian Institute of Space Science and Technology (IIST) has been established in the year 2007 as an autonomous academic institution under Department of Space, Government of India for providing quality human resources to the Indian Space Research Organisation (ISRO) and other National Research & Development Organisations and Industries.

Educational Qualification & Eligibility


BE/B.Tech/M.Sc/M.S. or equivalent degree ,should be in first class with an aggregate minimum of 60% marks or CGPA 6.5 out of 10. A valid score in GATE/JEST/UGC NET in relevant area as the case may be, as specified in above is essential.

Selection Procedure


GATE Score + Written exam / Interview

Application Fee


Rs.600/- per programme ( for SC, ST, PWD and women candidates Rs.300/- per programme )

Closing date for online submission of applications : April 17, 2014


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Sunday, 6 April 2014

Abstract


Ovonic Unified Memory Nowadays, digital memories are used in each and every fields of day-to-day life. Semiconductors form the fundamental building blocks of the modern electronic world providing the brainsand the memory of products all around us from washing machines to super computers. But now we are entering an era of material limited scaling. Continuous scaling has required the introduction of new materials. Current memory technologies have a lot of limitations. The new memory technologies have got all the good attributes for an ideal memory. Among them Ovonic Unified Memory (OUM) is the most promising one. OUM is a type of nonvolatile memory, which uses chalcogenide materials for storage of binary data. The term “chalcogen” refers to the Group VI elements of the periodic table.“Chalcogenide” refers to alloys containing at least one of these elements such as the alloy of germanium, antimony, and tellurium, which is used as the storage element in OUM. Electrical energy (heat) is used to convert the material between crystalline (conductive) and amorphous (resistive) phases and the resistive property of these phases is used to represent 0s and 1s. To write data into the cell, the chalcogenide is heated past its melting point and then rapidly cooled to make it amorphous. To make it crystalline, it is heated to just below its melting point and held there for approximately 50ns, giving the atoms time to position themselves in their crystal locations. Once programmed, the memory state of the cell is determined by reading its resistance.

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Tuesday, 1 April 2014
Fest : Prodaya 2014
Fest Type : Techno-Cult Fest
Fest Dates : 18-20 April
Organizing Institute : National Institute Of Technology Uttarakhand

About the Fest 


Click to enlarge
Prodaya 2014 is the inaugural national level technical and cultural festival of National Institute of Technology, Uttarakhand. Prodaya has been one of the most eagerly awaited and anticipated college festivals of Uttarakhand. It is one of its kind of a national college festival being organized in the lap of the mighty and beautiful Himalayas witnessing huge participation from hundreds of colleges, with more than a thousand participants competing in over 30 events.

Prodaya 2014 will be organized from April 18th -20th, 2014. Competitions in Prodaya cover a wide variety of fields like Robotics, Quizzing,Coding, Lan Gaming, Musical Performances, Singing, Dancing, Band Performances, Dramatics, Fine Arts and Literature. Our flagship events include cultural performances by internationally acclaimed bands, Robotic Contest, Mathematics Contest (Math-O-Mania), Build the Circuit and Band Wars. 

Prodaya is also organizing National Advance Robotic Workshops (N-ARC) in association with I3Indya, New Delhi in various college of Northern India where the students will be exposed to cutting edge technology and will have the hands-on opportunity to work and build their own gesture controlled robots.
With an aim to increase awareness about the Himalayan Mountains, rivers and to promote tourism in our state that has strongly withstood natural disasters, we are organizing the first of its kind of event by an Indian college- The White Water River Rafting for our participants. This event will provide an invaluable opportunity for the participants to closely observe and appreciate the natural beauty and resources our state has been blessed with while riding on the waves of the mighty Alaknanda River. Along with other flagship events, this event signifies the main theme of Prodaya 2014- Prarambh (A new start), Prakriti (Nature), Pratiyogita (Competition) and Prodyogiki (Technology). 

Contacts


Website : www.prodaya.in
Connect via Facebook : www.facebook.com/Prodaya

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Sunday, 30 March 2014

Abstract


Superconductors in Applications; Some practical AspectsA high transition temperature is not the only factor we look for in new superconductors. Power applications require good current carrying capacity and magnetic fields. Further, for commercial success; acceptable costs, tested durability, effective cost reduction should be there among others. The paper examines a number of superconductors starting with NbTi. The applications and potentials of the superconductors are studied. It is proposed that a stationary superconducting direct-current-field winding may increase the reliability of the generator in large offshore wind turbines. A power conditioning system consisting of a Superconducting Magnetic Energy Storage (SMES) which can be used to smooth out differences between output power of a generator and power loads is considered as an example of practical use of superconductors. Cryo-refrigeration and manufacturing process can be advanced further to reduce the cost of the superconductors and make it practically more feasible. Find more Seminars Here


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Saturday, 22 March 2014

Abstract


Application Of Genetic Programming To ClassificationClassification is one of the most researched questions in machine learning and data mining. Genetic programming is a recent development in the area of evolutionary computation. It was greatly stimulated in the 1990s by John Koza. Genetic programming (GP) is a flexible and powerful evolutionary technique with some features that can be very valuable and suitable for the evolution of classifiers. Flexibility is one of the main advantages of GP, and this feature allows GP to be applied for classification in many different ways. One of the central problems in computer science is how to make computers solve problems without being explicitly programmed to do so. Genetic programming offers a solution through the evolution of computer programs by methods of natural selection.According to Koza, genetic programming searches the space of possible computer programs that are highly fit for solving the problem at hand. This paper surveys about the application of genetic programming to classification, to show the different ways in which this evolutionary algorithm can help in the construction of accurate andreliable classifiers


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