CHENNAI: India on April 1 will launch an electronic intelligence satellite Emisat for the Defence Research Development Organisation (DRDO) along with 28 third party satellites and also demonstrate its new technologies like three different orbits with a new variant of PSLV rocket, ISRO said on Saturday.
According to Indian Space Research Organisation (ISRO), a new variant of its Polar Satellite Launch Vehicle (PSLV) rocket will first put the 436 kg Emisat into a 749 km orbit.
After that, the rocket will be brought down to put into orbit the 28 satellites at an altitude of 504 km.
This will be followed by bringing the rocket down further to 485 km when the fourth stage/engine will turn into a payload platform carrying three experimental payloads: (a) Automatic Identification System (AIS) from ISRO for Maritime satellite applications capturing messages transmitted from ships (b) Automatic Packet Repeating System (APRS) from AMSAT(Radio Amateur Satellite Corporation), India – to assist amateur radio operators in tracking and monitoring position data and (c) Advanced Retarding Potential Analyser for Ionospheric Studies (ARIS) from Indian Institute of Space Science and Technology (IIST) – for the structural and compositional studies of ionosphere, the space agency said.
The whole flight sequence will take about 180 minutes from the rocket’s lift off slated at 9.30 a.m. on April 1.
The 28 international customer satellites (24 from US, 2 from Lithuania and one each from Spain and Switzerland)- will weigh about 220 kg.
“It is a special mission for us. We will be using a PSLV rocket with four strap-on motors. Further, for the first time we will be trying to orbit the rocket at three different altitudes,” ISRO Chairman K. Sivan had earlier told IANS.
The PSLV is a four-stage engine expendable rocket with alternating solid and liquid fuel.
In its normal configuration, the rocket will have six strap-on motors hugging the rocket’s first stage.
On January 24, the ISRO flew a PSLV with two strap-on motors while in March, it had four strap-on motors.
The Indian space agency also has two more PSLV variants, viz Core Alone (without any strap-on motors) and the larger PSLV-XL.
The ISRO selects the kind of rocket to be used based on the weight of satellites it carries.
The ISRO will also be launching two more defence satellites sometime in July or August with its new rocket Small Satellite Launch Vehicle (SSLV).
In January, the space agency launched a defence imaging satellite Microsat R for the DRDO.
The algorithms process data and are able to quantify the impact of luck and analyze the real value of a player’s performance in the game in real time.
In an effort to analyse cricket statistics with data science, sports news website ESPNcricinfoin a partnership with the Indian Institute of Technology Madras launched a tool called ‘Superstats,’on Wednesday. According to IIT Madras Superstats is a combination of stats metrics that use data science to give a context to every event in a game, for forecasting and to explore the idea of assessing luck .
The algorithms use forecasting methods that train on past data to reveal trends and patterns during different periods of play and adapt based on actual match data resulting in predictive models, according to IIT Madras.
Researchers from the institute and an IIT-M incubated company Gyan Data have worked with cricket experts from ESPNcricinfo to design the tool from the website’s ball-by-ball database with over ten years of data and with the help of algorithms based on machine learning.
The algorithms process data and are able to quantify the impact of luck and analyze the real value of a player’s performance in the game in real time, said the institute. The work is being led by Raghunathan Rengaswamy, Professor, Department of Chemical Engineering and Mahesh Panchagnula, Professor, Department of Applied Mechanics of IIT Madras along with the ESPN team.
Speaking on the data analytics efforts behind the project, Raghunathan Rengaswamy said, “While there might be many interpretations for luck, these algorithms rationalize and consistently quantify luck events so that a whole tournament with matches that occurred in disparate circumstances could be compared in an ‘apples-to-apples’ fashion.” He further added, “The AI work at IIT Madras is targeted towards several verticals such as fintech, manufacturing, smart city, biological systems engineering, and healthcare. Through this project, we have now forayed into sports analytics as well.”
Sambit Bal, Editor-in-chief, ESPNcricinfo and ESPN South Asia, said, “The development of these new metrics filled a long-felt gap in evaluating cricket performances…We have combined big data, cricket intelligence, and also data science to produce a set of numbers that will help fans understand the game better.”