IJSRD CALL FOR PAPER: e- Journal

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Wednesday, 13 January 2016

Improved QoS in Ad-Hoc On-Demand Routing Protocol For MANETS

Author(s):

Nima Manoharan , RAJIV GANDHI INSTITUTE OF TECHNOLOGY ,KOTTAYAM; Cibile K.Kanjirathumnkal, GOVT. FNGINEERING COLLEGE, KANNUR

Keywords:

MANET, AODV, QoS Improvement, Adaptive Hello Messaging, Traffic Aware Route Discovery, Local Link Failure Recovery

Abstract

Mobile ad-hoc Networks (MANETS) is a collection of wireless nodes without any infrastructure support. Quality of service (QoS) provisioning in MANETs is very important in order to support real-time communications such as audio and video. But, provisioning of QoS over wireless networks is far more challenging than for wired networks because of variability of wireless links, node mobility, and lack of central coordination authority for QoS. Ad-hoc on demand distance Vector (AODV) algorithm is a quick and efficient routing protocol designed for MANETS. The major drawback of AODV is the shortage of the quality of service (QoS) provisions. This paper proposes modifications to AODV protocol to improve the quality of service by combining three different routing approaches namely adaptive hello messaging, traffic aware route discovery and local link failure recovery. The modified protocol provides better QoS than the conventional AODV protocol.

Other Details

Full Article link: http://ijsrd.com/Sp_Article.php?manuscript=SPCN013

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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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Saturday, 1 November 2014

IIT #Techfest International Student #Conference #IJSRD

Techfest International Student Conference is an initiative to bring together the student community and professors with a common research background. TISC marks a step further in our endeavor to promote science and technology among the students by facilitating the exchange of knowledge between academia and industry.

Techfest International Student Conference presents a unique opportunity for students to present their work in front of fellow students, senior professors from top universities, industrialists and policy-makers. It aims at giving recognition to students for their research at a relatively young age. An enriching experience to research oriented minds, TISC will give young scientists an insight into the topic, learn new ideas and build networks beneficial for the future.

The theme for the conference is Renewable Energy Systems, potentially the most important aspect of human life in forthcoming decades. TISC is being hosted by IIT Bombay, one of the premier institutes of science and technology in India known for its path-breaking research and quality education.

Tuesday, 21 October 2014

#IJSRD & TechFest 2014-15 (IIT-Bombay) presents TISC(Conference)

IIT Bombay presents Asia’s Largest Science and Technology Festival. TISC(Conference) event is supported by IJSRD. For more details, please visit the following link
http://www.techfest.org/conference

Tuesday, 7 October 2014

A Glimpse into the 3-D brain | #IJSRD

People who wish to know how memory works are forced to take a glimpse into the brain. They can now do so without bloodshed: Ruhr Univ. Bochum (RUB) researchers have developed a new method for creating 3-D models of memory-relevant brain structures. They published their results in the trade journal Frontiers in Neuroanatomy.

3-D image of the hippocampus of a rat. Image

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Seahorse gave the hippocampus the name

The way neurons are interconnected in the brain is very complicated. This holds especially true for the cells of the hippocampus. It is one of the oldest brain regions and its form resembles a seahorse (hippocampus in Latin). The hippocampus enables us to navigate space securely and to form personal memories. So far, the anatomic knowledge of the networks inside the hippocampus and its connection to the rest of the brain has left scientists guessing which information arrived where and when.

Signals spread through the brain

Accordingly, Dr. Martin Pyka and his colleagues from the Mercator Research Group at RUB have developed a method which facilitates the reconstruction of the brain's anatomic data as a 3-D model on the computer. This approach is quite unique, because it enables automatic calculation of the neural interconnection on the basis of their position inside the space and their projection directions. Biologically feasible network structures can thus be generated more easily than it used to be the case with the method available to date. Deploying 3-D models, the researchers use this technique to monitor the way neural signals spread throughout the network time-wise. They have, for example, found evidence that the hippocampus’ form and size could explain why neurons in those networks fire in certain frequencies.

Information become memories

In future, this method may help us understand how animals, for example, combine various information to form memories within the hippocampus, in order to memorise food sources or dangers and to remember them in certain situations.

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Tuesday, 19 August 2014

#IJSRD Digital Watermarking Methods in Spatial Domain and Transform Domain

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Digital Watermarking Methods in Spatial Domain and Transform Domain

Abstract--- The ease of digital media modification and dissemination necessitates content protection beyond encryption. Information hidden as digital watermarks in multimedia i.e. text, image, video, audio enables protection mechanism in decrypted contents. In a way that protects from attacks several common image processing techniques are used in Spatial Domain and Transform Domain. In Spatial Domain Least Significant Bit(LSB) is used and in Transform domain Discrete Cosine Transform(DCT) & Discrete Wavelet Transform(DWT) are used. Among these DWT is best method due because of using embedded zero tree wavelet image compression scheme and high frequency sub bands.

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Friday, 15 August 2014

#IJSRD advanced persistent threat (APT)

Advanced Persistent Threats (APTs) are a cybercrime category directed at business and political targets. APTs require a high degree of stealithiness over a prolonged duration of operation in order to be successful. The attack objectives therefore typically extend beyond immediate financial gain, and compromised systems continue to be of service even after key systems have been breached and initial goals reached.

to know more about APT go to this link https://www.damballa.com/advanced-persistent-threats-a-brief-description/

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#IJSRD MOBILE PROTECTION VICTIMISATION VOICE VERIFICATION

Cellular communication business has developed leaps and bounds to become the core of day to day science. Mobile phones is that the spirit of cellular business. the quantity of mobile phones users is rising exponentially. however the privacy of user and security of mobile phones leftovers a difficult question. Theft of mobile phones has become the attention catching business for offender. There ought to be a reliable methodology of protective the instrument from thief. My paper proposes a brand new innovative, reliable, trick proof precautions for mobile phones victimization VOICE VERIFICATION. Voice verification is that the identification of a personal identity victimization speech because the spotting quality. The voice of the user is processed employing a digital gesture processor that is that the prime a part of a mobile. we have a tendency to are programming this DSP to implement this safety technique. For most a resourceful voice record of the user is formed. This record is hold on within the Flash read-only storage that is out there within the mobile. Then whenever the user speaks through the mobile phones a part of the speech sample is taken and hold on. This processed voice of the user is compared with the first folder to examine the identity of the user. If the user is allowed, he’s allowed to continue his speak. If not the transmission is cut unexpectedly by creating the DSP in inactive state. Therefore the mobile is being shielded from any extralegal user. Not with standing the mobile phones was purloined or lost it won’t be helpful for the other individual. The programmability of DSP and generality of Voice based mostly classification has given our methodology a twin advantage. Our set up demands neither external hardware nor additional price. The on top of methodology cause no hardship for the user not like this safety systems. This methodology may be adopted universally altogether models of Mobile phones and mobile phones for cover.

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Wednesday, 13 August 2014

#IJSRD Cost effective and innovative housing technology

Shelter is amongst the three basic human needs but now-a-days, about two-third of the total Indian population does not have their own shelter. This two-third population belongs to the middle and lower income class. These people find it difficult to construct their houses at an affordable cost by using conventional construction technology. It is found in many cases that people serve their whole life constructing their own house, but fail. The mission and dream of these people can be achieved by appropriate use of cost effective and innovative construction technology. As a whole, the housing shortage of the country can be overcome within lesser FUNDS

, without compromising with the quality control and structural stability of the structure.