Skip to main content

Jugnu: India's first Nano Satellite

          IIT-Kanpur with its nano satellite 'Jugnu' has set new highs in the field of space research. A team of students, working under Dr NS Vyas (the visionary man behind the making of the nano-satellite) and other faculty members of the institute, have successfully made the country's first nano-satellite to be developed for the first time by any educational institute.

          The development of the Jugnu started in the year 2008 with a team of 3 students. With time, the team has grown to the size of more than 50 students ranging from 1st year undergraduates to final year postgraduates and 14 professors from different disciplines to complete this challenging mission.
           The satellite has been handed over to two ISRO scientists, DVA Raghav Murthy (Project Director, Small Satellite Projects) and Dr SK Shiv Kumar (Director, ISRO satellite tracking centre), by President Pratibha Patil on March 6, 2010. View the pictures of the ceremony at IIT Kanpur's photo gallery.

          Golden Jubilee year of IIT Kanpur(Aug 2009- Dec 2010) will witness the launch of Jugnu from Satish Dhawan Space Centre (also known as SHAR, located in Sriharikota, Andhra Pradesh) by ISRO’s Polar Satellite Launch Vehicle. Jugnu will be able to withstand the harshness of space environment for its estimated life span of 1 year.
             
          Weighing less than three kg and with most functionalities of a normal satellite on a small platform, the payload of the satellite will include an indigenously designed camera for near remote sensing and a GPS receiver. 'Jugnu' will transmit blinking signal at all times, all over the Earth. It will revolve around the Earth 15 times a day in polar orbit and will be visible over Kanpur for three to four times for a total of 20 minutes. After its launch, Jugnu will be continuously monitored and controlled by Ground Station located on the IIT Kanpur campus.
          The main objectives behind making a nano satellite were to serve the following applications:
1. Micro Imaging System
2. GPS receiver for locating the position of satellite in the orbit
3. MEMS based IMU (Inertial Measurement Unit)

Comments

Post a Comment

Please leave your comments here...

Recommended for You

My first blog!

          " W hy is it that there are no Goolge Maps API examples which show India specific data?"...This question kept bothering me all through my learning phase. I always thought why aren't there any examples that use a map which shows Indian locations. Anybody who is new to Google Maps API application development would love to see a location that he knows of on the map! This is what I longed for all the way through and now have decided to put up simple examples and other supporting data for building customised simple Google Maps and all will show locations in India! When starting something new, if one finds something familiar out there, then it gives a feeling of comfort! And this is what I will try to provide to all those out there who are facing a similar problem that I faced! I am not an expert at Google Maps API, I am learning too...But, I will like to help out people along the way! So, all comments from the novice to the profession...

Playing with the markers and info window bubbles...

    In the last few posts, we have seen some marker examples and some information window examples. Now, lets do something interesting combining these two things. Just writing that "This is an info window" in the information bubble is not very interesting! And I know this...Have gone through the same phase!     So, today we will do something interesting! We will display the latitude- longitude co-ordinates of the point that the user clicks on the map! Doing this is not at all complex! Copy paste the following code and you will see for yourself a map coming to life!     The output of the above code looks as seen in the result section above! If you have any queries regarding the above code please comment on the blog post or feel free to contact me at my mail ID .

50000 hits and live examples

    Hello to all the blog readers - to the regulars and the first timers. Spatial Unlimited just crossed the 50,000 all time hits milestone and so its time to celebrate and also mark the occasion with something new and interesting.       The new addition to this blog is that, you will now be able to enjoy the codes live on the blog. I am adding some life to the blog by converting all the earlier life-less codes to JsFiddle powered live examples. I have converted a few and am sharing the links here. Please share your feedback and let me know what you think of the new additions. Hope you keep enjoying the blog as much as I enjoy updating it! Cheers! Links to Live Examples: 1. Simple Google Map 2. Simple Map Marker 3. Multiple Markers 4. KML Layer

A Giant called Google...

    Wondering what you will be reading in this post today and what is "Google Giant"! Well, I was working on a simple project a couple of months back and that is the time when I was amazed and by the size of data that Google Maps servers might be having! As most of the readers (developers and enthusiast included) would know or might have noticed, Google maps are rendered by stitching small images together. You must have observed this on quite a number of occasions, when you see grey tiles when you have a slow internet connection in particular. It takes time for the images or tiles as we call them to be displayed.     Let us try and estimate what could be the size of the Google Maps data! Before proceeding, let's make a few assumptions and considerations. 1. Let's consider the Google Street View maps only. 2. The zoom level that is considered for the calculations is 21 - the max zoom level allowed on Google Maps API. 3. All the numbers are just an esti...

Where does Google get it's live traffic data from?

Referring to a post that I wrote earlier, Google’s - Live traffic Layer , ever wondered how Google collected this data? I was wondering the other day, how Google received live data to display it on their maps as a layer! I looked up the web and found something very interesting and am sharing the same with you all. As we all know, the traffic layer is available most accurately in several states in USA. Most major metro areas in the US have sensors embedded in their highways. These sensors track real time traffic data. Easy to miss at high speeds (hopefully anyway, traffic permitting), more commonly noticed may be the similar sensors that often exist at many busy intersections that help the traffic lights most efficiently let the most amount of people through. The information from these tracking sensors is reported back to the Department of Transportation (DOT). The DOT uses this data to update some of the digital signs that report traffic conditions in many metro areas. They als...