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	<title>
	Comments on: JNU M.Tech Admissions 2015	</title>
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	<link>https://www.inspirenignite.com/jnu-m-tech-admissions-2015/</link>
	<description>An essential guide for ambitious and focused students</description>
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		<title>
		By: surendra kumar		</title>
		<link>https://www.inspirenignite.com/jnu-m-tech-admissions-2015/#comment-138311</link>

		<dc:creator><![CDATA[surendra kumar]]></dc:creator>
		<pubDate>Wed, 04 Mar 2015 15:23:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.inspirenignite.com/?p=7554#comment-138311</guid>

					<description><![CDATA[what will be mechanical objective question for written test  for the post of technical assistant in nit college? please help me sir,]]></description>
			<content:encoded><![CDATA[<p>what will be mechanical objective question for written test  for the post of technical assistant in nit college? please help me sir,</p>
]]></content:encoded>
		
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		<item>
		<title>
		By: Vishik Bardhan		</title>
		<link>https://www.inspirenignite.com/jnu-m-tech-admissions-2015/#comment-137085</link>

		<dc:creator><![CDATA[Vishik Bardhan]]></dc:creator>
		<pubDate>Fri, 27 Feb 2015 12:59:36 +0000</pubDate>
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					<description><![CDATA[Sir, 
I dont see the apply link in their website. Please help.]]></description>
			<content:encoded><![CDATA[<p>Sir,<br />
I dont see the apply link in their website. Please help.</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Zahid		</title>
		<link>https://www.inspirenignite.com/jnu-m-tech-admissions-2015/#comment-131213</link>

		<dc:creator><![CDATA[Zahid]]></dc:creator>
		<pubDate>Tue, 10 Feb 2015 11:08:24 +0000</pubDate>
		<guid isPermaLink="false">http://www.inspirenignite.com/?p=7554#comment-131213</guid>

					<description><![CDATA[During last couple of years internet started taking a different direction with the advancements in research and production of IoT based chips that are highly power efficient and cloud computing capable. Now it looks possible to gather huge amounts of information using sensors, store and process it on cloud to extract pattern that are useful for big business houses as well as an individuals. When power efficient and communication ready chips are integrated with different sensors, they will change the way we take daily decisions and have a big impact on the life. 
These advancements in sensor and communication technology come with greater challenges focusing on information filtering, storing data, and processing huge amounts of data collected from millions of sensors in real time. Every IoT application will have different challenges to be addressed and new algorithms to be proposed. For example, pulse sensors on a patient need to address the challenges of real time data transfer, storage and analysis.  Whereas, a sensor deployed to detect available parking spot needs only an event based data transfer and storage, and when sufficient data is available, it can be used for different behavioral studies to improve quality of services.  
I would like to develop sensors and big data analysis resources for supporting transportation, agriculture, mechanical industries (such as oil industry) and patient monitoring systems. The main goal of my research will be to address methods to generate useful date and patterns that can be used millions of users across the globe to improve their quality of life.

B.	Machine Learning Research
In past, I have been solving problems based on machine learning where data was acquired using only on source or similar source. We also know important features in acquired data. In future, When we have multiple cameras for monitoring systems connected through internet and transmitting images and videos and text information to the could we will immediately face challenges in finding right information to be transmitted over the communication to reduce the traffic over communication network, storing and analyzing data. I would like to work on real time feature selection algorithms to address this issue. I also would like to explore event based data processing approaches for data selection and transmission.
When it comes to monitoring systems we acquire and transmit different data for analysis. For example a patients monitoring system data will have images and video data, pulse, temperature, heart rate monitoring sensors data in different format. We need to develop advance methods to analyze them together to help us finding right patterns accurately.

SERVICE TO UNIVERSITY
I wish to use my industrial and academic experience in Machine Learning, Parallel Programming and Software Engineering to contribute to the ongoing and potential research in Machine Learning and Big Data on IoT sensor data. I am willing to collaborate with other faculties and researchers to achieve the research goals and expectations of university. I wish to serve the department and university in translational research by bridging the gap between industry needs and academic goals.]]></description>
			<content:encoded><![CDATA[<p>During last couple of years internet started taking a different direction with the advancements in research and production of IoT based chips that are highly power efficient and cloud computing capable. Now it looks possible to gather huge amounts of information using sensors, store and process it on cloud to extract pattern that are useful for big business houses as well as an individuals. When power efficient and communication ready chips are integrated with different sensors, they will change the way we take daily decisions and have a big impact on the life.<br />
These advancements in sensor and communication technology come with greater challenges focusing on information filtering, storing data, and processing huge amounts of data collected from millions of sensors in real time. Every IoT application will have different challenges to be addressed and new algorithms to be proposed. For example, pulse sensors on a patient need to address the challenges of real time data transfer, storage and analysis.  Whereas, a sensor deployed to detect available parking spot needs only an event based data transfer and storage, and when sufficient data is available, it can be used for different behavioral studies to improve quality of services.<br />
I would like to develop sensors and big data analysis resources for supporting transportation, agriculture, mechanical industries (such as oil industry) and patient monitoring systems. The main goal of my research will be to address methods to generate useful date and patterns that can be used millions of users across the globe to improve their quality of life.</p>
<p>B.	Machine Learning Research<br />
In past, I have been solving problems based on machine learning where data was acquired using only on source or similar source. We also know important features in acquired data. In future, When we have multiple cameras for monitoring systems connected through internet and transmitting images and videos and text information to the could we will immediately face challenges in finding right information to be transmitted over the communication to reduce the traffic over communication network, storing and analyzing data. I would like to work on real time feature selection algorithms to address this issue. I also would like to explore event based data processing approaches for data selection and transmission.<br />
When it comes to monitoring systems we acquire and transmit different data for analysis. For example a patients monitoring system data will have images and video data, pulse, temperature, heart rate monitoring sensors data in different format. We need to develop advance methods to analyze them together to help us finding right patterns accurately.</p>
<p>SERVICE TO UNIVERSITY<br />
I wish to use my industrial and academic experience in Machine Learning, Parallel Programming and Software Engineering to contribute to the ongoing and potential research in Machine Learning and Big Data on IoT sensor data. I am willing to collaborate with other faculties and researchers to achieve the research goals and expectations of university. I wish to serve the department and university in translational research by bridging the gap between industry needs and academic goals.</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: Yashodhan Bhatt		</title>
		<link>https://www.inspirenignite.com/jnu-m-tech-admissions-2015/#comment-131186</link>

		<dc:creator><![CDATA[Yashodhan Bhatt]]></dc:creator>
		<pubDate>Tue, 10 Feb 2015 09:25:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.inspirenignite.com/?p=7554#comment-131186</guid>

					<description><![CDATA[Sir,

There are two exams at their official website (one is JNUEE &#038; other is entrance through JRF). If one has to pursue only MTech &#038; not an integrated MTech/PhD programme in CS, then which one should he opt for ?

Kindly reply asap.]]></description>
			<content:encoded><![CDATA[<p>Sir,</p>
<p>There are two exams at their official website (one is JNUEE &amp; other is entrance through JRF). If one has to pursue only MTech &amp; not an integrated MTech/PhD programme in CS, then which one should he opt for ?</p>
<p>Kindly reply asap.</p>
]]></content:encoded>
		
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