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THE 1EEEA REVIEW



Greetings from the editor’s desk. This is Sneha Bhattacharya from the EEE Association. I am your Editor in Chief. We are pleased to welcome you to the first issue of The EEEA Review under our tenure. In this issue, we have focussed on the upcoming technologies that will help us in our day to day lives, in the near future. We were privileged to have an interview with our honourable Head of Department of Electrical and Electronics Engineering.

He gave us a few insights on his method of teaching. We have our cover story about hyper chariot which is developing evacuated tube transport technologies (ET3) much similar to Hyperloop, it is poised to be one of the world's most dynamic and forward-thinking brands. We’ve also tried bringing popular DIYs that will help you have your own range of devices. I want to encourage readers to submit articles. Hence, the procedure for being a part of the magazine has been mentioned at the end. Please do not hesitate to contact me if you have any suggestions or comments for this issue. I look forward to receiving your contribution.

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THE EEEA REVIEW


President Dr. K. Vijayakumar Vice President Divi Bharadwaj

1. Tesla Model 3

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2. Farm-bot Genesis

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3. The AI that taught itself to walk

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4. Waymo: The Self Driving Car

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5. IBM Watson treats Brain cancer in 10 minutes

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6. Uber Flying Car

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7. Hyper Chariot

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8. Interview with HOD

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9 .DIYs

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10. Highlights Of The Month

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Marketing and advertising

11. What’s up, EEE?

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T | +91 7870053647

12. Artastic!

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eeea.srm@gmail.com

13. How to apply

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14. Upcoming Events

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Editor in Chief Sneha Bhattacharya

CONNECT WITH US

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Correspondents & Contributers Technical Ayush Singh Mayukh Bagchi Indranil Gupta Shruti Si Maharana Pratyush Tripathi

Aravindra Singh Kushagra Tiwari

Photography Soham Mandal

Nilanjan Sardul

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In 2006, Elon Musk, the CEO and co-founder of Tesla

With electric cars slowly gaining popularity, the Model 3 does an excellent job of marketing itself as a family sedan. The most productive segment also has the greatest competitors, we see the goliaths of the industry in the Toyotas, the BMWs and the Volkswagens, all equally proficient in delivering customer satisfaction and spreading new technologies. The highlight of such a comparison is the fact that Model 3 is electric, and thus is much more energy efficient then its counterparts. But Musk made it very clear in an interview that the Model 3 is to be the best car in its segment apart from being electric. Such claims are supported with Tesla’s ADH (Advanced Driver Hardware) and much more advanced driver assist. It took a leaf out of self-driving cars and came up with the enhanced autopilot’s lane keeping, lane changing and self-parking modes. Tesla is a step ahead with its software integration, with over the air updates we get a new feature every now and then increasing its resale value. Addressing the most evident point of difference, Tesla has managed to build electric cars with speeds reaching as much as 225 kmph but with lesser mechanical parts which thus decreases the maintenance and service cost. This ecofriendly beast is fuel independent, lowering the running cost by a huge margin. If it were to be run in Chennai, electricity costs 1.5 per unit whereas diesel charges is near about 60 per litre. All these without a bulky engine, which in fact also adds an extra trunk. Elon Musk is very clear with his idea of providing clean energy at an affordable price. With Model 3 he accelerates humanity’s transition towards sustainable energy. Model 3 is just a stepping stone towards an even more efficient future. They are following through by building their own network of high power chargers across the US and other countries to meet the power demand it has created. With the simplest manufacturing process they are maximising production capability; the Model 3 is undoubtedly a turning point in the automation industry. We have had great electric cars and we have had affordable electric cars, they have never really overlapped, but this is it.

said this about his master plan“Build a sports car Use that money to build an affordable car Use that money to build an even more affordable car While doing above, also provide zero emission electric power generation options Don’t tell anyone.” Now, fast-forward 11 years and step three of Musk’s plan, the Model 3 is already rolling off assembly lines and turning heads around the US. With the Model 3 this is Tesla’s fourth venture into driveable electric cars. Breaking stereotypes of electric cars being dull and ugly, the five seater sport-sedan stands apart with its well defined edges and fluid linearity. Under the hood or under the floor bed to be precise lies a combination of Li-Ion batteries rating up to 50-75 kWh powering a 258 HP (192kW), 430N-m, 3-phase permanent magnet rear motor. Clocking the 100kmph mark at about 5.1 seconds, it is one of the quickest street legal electric car being second only to the Chevrolet Corvette sport.

Scan above code to know about the working of an electric car.

By Indranil Gupta

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Kushagra Tiwari

FarmBot is an open source CNC farming machine that was initially developed as an automated farming tool. The FarmBot project was started in 2013 when Rory Aronson, the mind behind this project published a paper outlining the goals of the project to: “Grow a community that produces free and open-source hardware plans, software, data, and documentation enabling everyone to build and operate a farming machine.”

The need for FarmBot arose due to the 60% increase in the food production needed due to the growth in world population to between 7-9 billion by 2050 and the potential of precision agriculture to reduce the environmental impacts of farming by reducing water use, energy, transportation, petrochemicals and time required to grow crops. How it works? FarmBot’s core electronics consist of a Raspberry Pi computer, an Arduino Mega microcontroller and a Ramp shield. Combined with the powerful NEMA 17 stepper motor and rotary encoders, all the tools are reliably positioned within millimetre accuracy. FarmBot moves around in the XYZ space working 24X7. It precisely grows

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seeds in any pattern or density one wants and then waters them in required quantities of different seeds. Using the on-board camera and advanced computer vision software, FarmBot monitors the garden, detects weeds as soon as they emerge and buries them under the soil. With the soil sensor, FarmBot shows how the garden changes over time enabling more efficient farming. FarmBot’s universal tool mounting system allows it to automatically switch tools for different tasks like watering, seeding, etc. It provides 12 Electrical connections, 3 Liquid/Gas lines, and Magnetic coupling to support any tool one can imagine.FarmBot can be controlled using a powerful web based interface, so no coding is required as such. The drag and drop farm designer allows to graphically design the layout of the plants to be grown and provides a game-like experience. The most important feature of FarmBot is that it is on open source platform, so any modifications are welcome. It’s fun, fast and easy!!

Scan this QR code to watch the video

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Researchers at the university of British Columbia and the National University of Singapore has come with a computer program that has taught itself to walk, run and cross almost every obstacle and environment on its own. It improves itself with every time it falls. It can run almost anywhere, navigate around moving objects, and even dribble a soccer ball on its own!! The project is being called DEEPLOCO short form for “deep reinforcement learning of locomotion skills”. Researchers left the program loose in several environments given only few basic information about the environment ,so deeploco had to learn everything on the fly! Just like a human baby does when it first learns to walk. Its not perfect yet, it faced some trouble walking on ice, narrow paths were also difficult. The program could signal the future of gaming. Computer controlled characters could “learn” and make for a more realistic playing experience. It could also helps robots to stand upright in the real world which is already a challenge.

control policy are trained using deep reinforcement learning. Results are demonstrated on a simulated 3D biped. Lowlevel controllers are learned for a variety of motion styles and demonstrate robustness with respect to force-based disturbances, terrain variations, and style interpolation. High-level controllers are demonstrated that are capable of following trails through terrains, dribbling a soccer ball towards a target location, and navigating through static or dynamic obstacles.” Each special movements are described below: : Dribbling is a challenging task requiring both high-level and low-level planning. The objective is to move a ball to a target location, where the initial ball and target locations are randomly set at the beginning of each episode. : A more common task is to traverse a reasonably dense area of static obstacles. Similar to the path following task, the objective is to reach a randomly placed target location. : This environment is a variant of the pillar obstacles environment, where the obstacles consist of large blocks with side lengths varying between 0.5 m and 7 m. The policy therefore must learn to navigate around large obstacles and to paths leading to the target location.

Here’s the abstract from the team itself : “Learning physics-based locomotion skills is a difficult problem, leading to solutions that typically exploit prior knowledge of various forms. In this paper we aim to learn a variety of environment-aware locomotion skills with a limited amount of prior knowledge. We adopt a two-level hierarchical control framework. First, low-level controllers are learned that operate at a fine timescale and which achieve robust walking gaits that satisfy steppingtarget and style objectives. Second, high-level controllers are then learned which plan at the timescale of steps by invoking desired step targets for the low-level controller. The high-level controller makes decisions directly based on high-dimensional inputs, including terrain maps or other suitable representations of the surroundings. Both levels of the

: In this task, the objective is to navigate across a dynamically changing environment in order to reach a target location. The environment is populated with obstacles moving back and forth along randomly oriented linear paths. The environment is sampled for moving obstacles where each sample records the 2D velocity along the horizontal plane if a sample overlaps with an obstacle. If a sample point does not contain an obstacle, then the velocity is recorded as 0. The goal features and reward function are identical to those used in the path following task. Thus, it thinks on its feet.

Scan this QR code to watch

Mayukh Bagchi

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The Google self driving car concept started in 2009. But, it was overtaken by WAYMO which later came out as an autonomous company. Google's self driving car project was formerly led by Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View.

Scan me!

These vehicles have sensor and software that are designed to detect pedestrians, cyclists, vehicles, road work, and more from a distance of up two football fields away in all directions. These cars have technology or else the program in built that it can sense the object near to it. They use GPS to locate the positions and to track the route. But the GPS is always not accurate therefore it uses other sensors like the laser sensors and many others, that help to get the accurate location of the car. It is like the sensors are cameras that are use are eyes and ear of the car that help it to see 360 degree around it. The best thing is that the all the sensors crosscheck the information and get the accurate position. The sensors identify or else differentiate the objects like if there is a pedestrian near to it then it will show them as yellow, for cyclist it will be highlighted by red colour and for other vehicle it will show green or pink colour. For example, if the car is moving on the road and sees that there is a cycle lane and thus identify that there is a cyclist there, not a car or any other vehicle, it is shown as red colour and if the cyclist shows the hand and tries to move in the main lane, then the car thinks that the there is an obstruction in the road and from a specific distance it reduces the speed of it. Similarly, if there is a construction on the way, then it see the safest way or the divergence because the safety is first. Legislation has been passed in four U.S. states and Washington, D.C. allowing driverless cars. The state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car

laws. In 2015, Nathaniel Fairfield, Waymo's Principal Engineer, provided "the world's first fully driverless ride on public roads" to an old friend of his, who is legally blind. Steve Mahan, former CEO of the Santa Clara Valley Blind Center, was the recipient of the first selfdriving ride on public roads, in Austin, Texas. In 2015, the project completed its first driverless ride on public roads, giving a ride to a sole blind man in Austin, Texas.

Google’s self drive car (Previous Model)

In December 2016, the unit was renamed Waymo, and spun off as its own separate division. Waymo is derived from its mission, "a new way forward in mobility."

Aravindra Singh

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While humans take 160 hours, IBM’s AI project is making the impossible possible. By Shruti S Maharana

A new study, in which IBM Watson took just 10 minutes to analyze a brain cancer patient’s genome and suggest a treatment plan, demonstrates the potential of artificially intelligent medicine to improve patient care. But although human experts took 160 hours to make a comparable plan, the study’s results weren’t a total victory of machine over humans. IBM has been outfitting Watson, its “cognitive computing” platform, to tackle multiple challenges in health care, including an effort to speed up drug discovery and several ways to help doctors with patient care. In this study, a collaboration with the New York Genome Center (NYGC), researchers employed a beta version of IBM Watson for Genomics. The new study, published in the journal Neurology Genetics, used the 76-year-old man’s case to answer two questions. The researchers wanted to know, does scanning a patient’s whole genome provide information that is truly useful to doctors devising a treatment plan? The answer to that question was a resounding yes. Both the NYGC clinicians and Watson identified mutations in genes that weren’t checked in the panel test, but which nonetheless suggested potentially beneficial drugs and clinical trials.

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The researchers wanted to compare the genomic analysis performed by IBM Watson to one done by NYGC’s team of medical experts, which included the treating oncologist, a neuro-oncologist, and bioinformaticians. Both Watson and the expert team received the patient’s genome information and identified genes that showed mutations; went through the medical literature to see if those mutations had figured in other cancer cases; looked for reports of successful treatment with drugs; and checked for clinical trials that the patient might be eligible for. It took the humans “160 person hours” to formulate recommendations, while Watson got there in 10 minutes. However, while Watson’s solution was first, it might not have been best. The NYGC clinicians identified mutations in two genes that, when considered together, led the doctors to recommend the patient be enrolled in a clinical trial that targeted both with a combinatorial drug therapy. If the patient had still been healthy enough, he would have been enrolled in this trial as his best chance of survival. But Watson didn’t synthesize the information together this way, and therefore didn’t recommend that clinical trial.

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Uber is a company that is known for ruling the taxi industry worldwide with their ride sharing service, making everyday travel ,from one place to other, cheaper and easier than ever before. Now the company is taking itself to the skies.

Since years, it has widely been a dream to mass produce personal aircrafts. We have all seen at least one picture of an imagined future where our skies are filled with personal cars flying around the city. Now coming back to a bit of technicality, these flying cars would be more like electrical drones, known as Electrical Vertical Take off and Landing aircraft or e-VTOL aircrafts.

After a lot of research the company has come up with this as the most perfectly fitting candidate for their personal flying taxi service. e-VTOL’s are quiet, have no emission and are convenient , fast and cheap.

Scan me!

A Chinese company eHANG has already started its test flights in Dubai. Uber also doesn’t want to miss out in this emerging industry. They have already published papers about covering a 2 hour drive that can be completed in just 15 minutes by air. These vehicles can charge up in less than 10 minutes for their next flight, wasting minimum time and also saving the environment from any sort of pollution being electrically driven. Uber is calling this new infrastructure as Uber Elevate Network. Uber’s goal is to achieve a flight range of 40-100 km and have capacity of 2-5 people on board with their luggage.

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By Mayukh Bagchi The company has also come up with their estimated fare schemes that already look pocket friendly in the long run. And we always have uber coupons to ease things a bit! In India this would cause a lot a difference as this could be a one stop solution to the ever increasing road traffic where we end up wasting so much of our time. Also this would end the necessity to build bridges. Uber has already conducted a serious meeting on e-VTOL vehicles and have addressed all the existing problems like battery issue, air traffic revamping, safety, license to fly, etc. Out of all the issues discussed battery seems to be a major concern, since so far we are not being able to build a compact battery that is capable enough to sustain a long flight. However there has been a major leap in battery technology recently that is super energy dense and is being able to charge itself superfast. The battery industry is being forced to push their limits to develop more and more efficient batteries possible. A company called charge point seems to be coming out victorious in this field. They have charging point that is capable of charging 0-25% in just 5 mins and 25-90%in 15 mins! This charging station has a capability of 400 amps and 1000 volts. There are so far few companies that have actually come up with working prototypes namely: 1. Airbus (Working on a air traffic system called skyways) 2. Lillium, a small German team 3. Aurora

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And it turns out that uber has decided to work with aurora as its primary partner. Overall, the future seems to be really exciting and promising where we would be flying up in the sky and going to our day to day places. Uber has confirmed that by 2020 they will start their demo services worldwide.

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Scan this to know about ET3

Scan this to know about Hyper Chariots

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HYPER CHARIOT Indranil Gupta Technology is taking great leaps in recent times. We are in an era where we can achieve great feats and no idea is completely out of reach. Such is an idea of a global scale high speed transport system being completely eco-friendly and no environmental hazards. What may seem like a vague idea is actually being implemented in real time by HYPER CHARIOTS. This is the first company to develop a solar powered global autonomous Hypersonic Personal Rapid Transit (PRT) network, eventually with door-to-door service. Hyper Chariot is the driving force in advocating ET3 (Evacuated Tube Transport Technology). The idea is simple, shoot a levitating capsule through a vacuum pipe at hypersonic speed, completely powered by solar energy. , the founder and CEO of Hyper Chariot aims to bring ground-breaking changes in the current transport infrastructure. He along with Joanna Garzilli, the co-founder and COO and the interim president and decorated Hollywood actor Matthew Modine plan to eliminate traffic and pollution while making travel convenient and affordable for all. Is Hyper Chariot the only one in line to develop such a technology? With transport being the steering wheel of any economy, it is evident that its advancement would be largely targeted. Another such interesting idea is the Hyperloop. Hyperloop has managed to become the hot topic of recent years. With its basic principle known to most tech enthusiasts, it has managed to highlight the possibility of a refreshed transport system. Comparisons are ineluctable and will be drawn, so how do they stack up against each other? The concept of ET3 is relatively old. The first proposed system was the Vactrain of 1799 by George Medhurst. ET3 has since been developed and is aiming at a global granular transport system, something similar to a car carrying 4-6 people in a freeway where the passengers can choose the destination, take a break at pit stops and more. The concept of the Hyperloop is drawn from ET3 but has some significant differences in

both its working and implementation. It retains the thought of a public transport carrying about 28 to 40 people in a single train like capsule with a predetermined destination and pit stops around a maximum of 1450 km route. ET3 uses a 99.9999% medium vacuum rather than a low pressure 99.9% vacuum as proposed by Hyperloop. This greatly increases the speed from 1200 kmph to a hypersonic 6500 kmph and also cuts cost and complexity by removing the axial air compressor from the equation. ET3 runs on linear motors based on HTS (High Temperature Semiconductor) maglevs, which means they levitate 8-12 mm above the base of the tube and requires a 10kW starting power for 30 sec in contrast to the Hyperloop which uses air bearing suspension from the axial air compressors which requires a continuous power input of 325kW at 0.5 mm above the base of the tube demanding higher accuracy. Safety is the cardinal point a new technology has to deal with. But unlike other scientific innovations with initial loop holes, the ET3 stands apart with its safety claims. The idea of a vacuum tube may sound sci-fi but in reality it is being implemented for decades in CRT. The biggest question of sudden catastrophic loss of airframe integrity is a moot point because a regular aircraft has a greater chance of experiencing pressure loss as it traverses in an uncontrolled medium with varying weather conditions. But in such a case the section of the tube can be isolated and air can be slowly introduced which will normalise the pressure and stop the capsule, all this quicker than an aircraft can descend to normalise its pressure. With very less mechanical parts and little to no human labour, it elevates the safety standards forany transport system Hyper Chariot may become the company to truly uphold the Kyoto Protocol; to not only minimise but to completely eliminate greenhouse gas emissions. They are working on a transport system which could transport 120 people per second efficiently without a single iota of noise, With its extremely less power requirement and regenerative braking technology it might very well be the most energy efficient technology so far. Hopes of a clean future have risen and it’s a matter of time until we can travel to New York in under 3 hours for just  3000.

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By Sneha Bhattacharya

England to get world's 1st dividing retractable pitch England's top tier football club Tottenham Hotspur has unveiled the world's first-ever dividing retractable pitch at its new stadium. The retractable grass football pitch will sit on top of an artificial pitch which will be used by American football league NFL. The football pitch will be rolled up using rails and three trays, taking around 25 minutes to switch surfaces.

Elon Musk shows off SpaceX’s first full-body spacesuit Billionaire Elon Musk on Friday posted a picture of his space exploration startup SpaceX's first full-body spacesuit on Instagram. The spacesuit is designed to protect astronauts when they are in the space capsule and while moving over to other vehicles like the International Space Station (ISS) under pressurised conditions. Earlier, Musk said the suits were "tested to double vacuum pressure."

40% targets of malware stealing money via mobiles in India Around 40% of the targets of new malware Xafecopy Trojan which steals money through victims' mobile phones have been detected in India, according to cyber security firm Kaspersky. The malware disguises itself as useful apps and then secretly loads malicious code onto the device. The users' money is then stolen by charging costs directly to their phone bill. 15

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INTERVIEW WITH THE HOD OF EEE DEPARTMENT The EEE Association was honoured to have an interview with their very own Head of Department, Dr. K. Vijayakumar. Here, we present you the answers to the questions we asked, that would benefit us in our current semester, as well as the upcoming ones. How long has it been since you joined the EEE Department? A. I joined SRM University right after my post graduation, in 1997. At that time, it was SRM Engineering College. Since then, I've worked at various levels. I started as a lecturer, then Assistant Professor, and now Professor in the EEE Department. I'm really happy to have worked in SRM for more than 2 decades. What changes have you seen in the University since you joined it? A. I've witnessed many changes. SRM University was an affiliated college under Madras University. Then it became a deemed University. There have been changes in terms of infrastructure. Main Campus was the first campus to be built, and now we have the Annexure Campus. We've also grown in terms of the number of courses, having started from only 4 B. Tech branches. Our primary focus has always been getting University results and ranks, but now it is expanding in terms of publications, projects. What strategies would you use to ensure that the most able students taking your subject (PSA), excel and are stretched?

struggle to get the answer, and in that process, they generally do not forget what they're learning. Making the class interactive is my motive. Because, I believe that an interactive class tends to learn more.

What strategies would you use to help learners in classes taught by other teachers in your department? A. I would, normally, sit in the class and notice the teacher's method of teaching. If I see that the teaching method can be improved, I talk to them at the end of the class. I would see if the student's expectations are met with. If you were to write a "mission statement" for your department, what might it be? A. I have two perspectives to this mission. One is for the student and the other is for the faculty. When it comes to teaching, I don't want the same boring classes with chalk and board, or use of PowerPoint presentations. Studies prove that students cannot concentrate for more than 10 minutes. So, the idea is to teach them for 10 minutes, then show them a video for 10-15 minutes and then have a self study assignment or some form of activity for that topic. For the students, I want 100% placement from my department. if you want to get a placement, you have to clear all the backlogs. The number of students with backlogs is, sadly, increasing. I want them to get rid of those backlogs, and do some extra courses which will be beneficial from placement point of view.

A. I'm not taking the same course all the time. When I started teaching here, I used to change my subjects. I had a brilliant student in my class, who used to ask ample amount of questions, and to answer them, I had to prepare well for the class. My principle is that if you're coming to my class, you have to learn something before you leave. I always give questions, and make my students think over it. Because they have to

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DIYs

By Ayush Singh

Bluetooth Earphones Turn Any Pair of Earphones Into Bluetooth Earphones

Model your Fidget Spinner Make your own fidget spinner in a few steps

3D Printer

Construct and install of a "low cost" 3D printer

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The event started from 3:00pm. The first year students enjoyed the photo-booth session in the beginning of the event. A welcome speech was delivered by the HOD Mr. K.VIJAYAKUMAR . A welcome dance was performed by Asmita and Durga. There was a music performance by Rishab, Debjeet and Ankan. Right after that, we had two in-house activities and a beat-boxing

performance by Aakash. Three dance performances were delivered by Shyam Sundar, Murari and Gautam. There was Music performance, dance performance, as well as, a magic show which entertained the crowd. Refreshments were given and Mr. And Ms. Fresher was announced. Bhavika Sharma and Rahul were crowned Ms. Fresher and Mr. Fresher, respectively.

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FELICITATION OF OFFICE-BEARERS

The felicitation ceremony for the academic year of this year’s office bear- 2017-18 were officially ers of EEE Association handed over the charge. th held on the 8 of August The brief overview of the 2017 at ESB seminar hall ‘EEE Review’ was given by the technical head folsaw new term of office bearers and committee lowed by the sports head members who would car- speaking about the inclury the torch of the legacy sion of a sports magazine of the association from its in the EEEA Review. The predecessors. Mr. B .Trip- Chief Guest then motivatathi Patro was the chief ed the young engineers guest for the ceremony. with his words. The HOD The event commenced by then showed gesture of lighting of the auspicious respect and gratitude by lamp, by the chief guest, presenting a small token the HOD and other faculty to the chief guest for enmembers. The HOD gave lightening the event with an introductory speech. his presence. The SecreMr. S.S.Dash gave a brief tary gave a vote of thanks, hence concluding introduction about the the ceremony. chief guest. The office bearers of the association

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Nayanika Borgohai RA1611005010363 EEE 2nd Year

ering, 3rd Year Rajita Rhaphaela A.M RA1511013010020 Biomedical engine

Ishwarya Ravi, RA1611005010255 EEE, 2nd Year

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“Art is not what you see, but what you make others see”

Here’s how talented SRM University is when it comes to art!

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S. Srija RA1611005010075 EEE 2nd Year

Shivam Shukla, RA1611005010281 EEE 2nd Year

Nishant Singh RA1611005010340

EEE 2nd Year

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nd Rahul Singh Shekhawat RA1611005010225 EEE 2 Year

Sneha Bhattacharya RA1511005010217 EEE 3rd Year


HOW TO APPLY For The Magazine 1. Write an article based on the theme. Do not copy paste. Modify it according to what you’ve understood reading the article. It can be a technical article or a sports one. 2. The technical theme for the next issue is “Life in Outer Space”. It can be about rockets, home, farming, mobility, etc. 3. If you’re applying for sports, it should be about the latest news related to it. A biography on your favourite player is good too. But make sure that the information is correct. 4. If applying for artwork, scan the artwork and send. Mobile photographs of the artwork is not permitted. 5. Mail them to eeea.articles@gmail.com 6. Last date of submission for the next issue is 22nd September, 2017.

For The Patent Team Our EEE Department has finally come up with a one of a kind initiative to get the ideas and working projects of the students into a real shape by providing them with patents. Getting a patent right in the B.tech is quite a challenging task for most due the lack of correct source and contacts which most of the students don’t have initially. And even though someone manages to proceed ahead the system really lacked a structure. Therefore to end all these confusions and help the students better with filling their own patents and giving shape to their own ideas the patent team was formed. Anyone having innovative ideas for projects or research can easily file their patents through this body now. However there are really few simple steps they need to follow to proceed ahead1. The students need to contact in the given number and the mail id and brief their idea. 2. They need to write an abstract with the given format. 3. The patent form needs to be filled then. Email ID : eee.patents@gmail.com Further details will be intimated to the students directly.

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UPCOMING EVENTS

NATIONAL WORKSHOP ON HARDWARE IN THE LOOP SIMULATION (In Association with Typhoon HIL)

UDYAAN Educational and Project oriented classes

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Here are the Association Core members. They will be in charge of the student body of the Electrical and Electronics department PRESIDENT

:

CO-ORDINATORS :

DR. K. VIJAYKUMAR Ms T.M. THAMIZH THENDRAL Ms S. USHA Ms A. GEETHA

VICE PRESIDENT :

DIVI BHARADWAJ

TECHNICAL :

SNEHA BHATTACHARYA PRATYUSH TRIPATHI

SECRETARY

:

T.H.H. THAPASE

JOINT SEC

:

TARANA KAOVASIA

PR AND MEDIA`

:

SHWETA KURIAN

AYUSH SINGH

CULTURAL

:

PRATYUSH SHUKLA

RAJAN KUMAR

ADARSH MURALI FINANCE :

MANOJ PENMETSA

SPORTS

:

ANAMIKA RANJAN

P PAVANI

CREATIVE

:

DEVARCHANA DEV

DOCUMENTATION :

AISHWARYA SINGH

RITURAJ

PHOTOGRAPHY AND DESIGN

:

EMCEE

:

SIDDHARTH BASU

DISCIPLINE

:

AMANDEEP BHARDWAJ

SPONSORSHIP

:

AKHIL SHAH

SOHAM MANDAL

AKSHAT AGARWAL

NEHAL CHANDAK

PUBLICITY

:

PIYUSH KUMAR YADAV

TARUN YADAV

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