Computational Modeling of Helicopter Rotor Blades made up of Smart Composite Materials - Chirag Sachdeva
The project aims at the development of next generation of intelligent helicopter rotor blades. With the use of smart composite materials, these intelligent structures would be able to sense the external environment, flight conditions and monitor the structural health in real time.
The current state of tools for analyzing smart structures is primitive while simultaneously being expensive and prohibitively time-consuming. To achieve the real-time state awareness capabilities, a tool based on mathematically rigorous Variational Asymptotic Method (VAM) is developed. VAM splits a three-dimensional elasticity problem into a two-dimensional linear cross-sectional problem and a one-dimensional beam problem. It ensures the asymptotic correctness since the method makes no ad hoc assumptions. This is accomplished by taking advantage of certain small parameters inherent to beam-like structures. Thus, the high-tech rotor blade designs that would be computationally intensive to investigate using 3D Finite Element Analysis can therefore be quickly and effectively analyzed using the newly developed tool.
The smart piezoelectric materials can act as both Sensors as well as Actuators. During flight operations, these rotor blades shall develop potential differences across the material layers which could be harvested to analyze the health of the blades and flight conditions of operation. This could reduce the number of inspections on the blade and the human error that might appear in the inspections done visually. Additionally, to mitigate the flutter and stall conditions, the embedded control units could provide with the actuation voltage to bring about the structural morphing based upon real time computational inputs.
Personal Emotional Doctor (Bot) - Gaurav Arora
Depression is a state of low mood and aversion to activity that affects person's thoughts. A good counselling when you're low, can do wonders; a motivational speech can get you started towards your fightback, a good relationship advice can help in relationship crisis. We do have people around us who motivate us in tough times with their experiences of life, but,they end up being judgemental and emotionally biased, because of which we’re not able to completely share our feelings with humans, and are left fighting sadness alone.
A machine can't be emotionally biased and judgemental. We plan on building a bot, that gives personalized counselling to the "sad" person. The bot will maintain a repository of motivational, psychological content available on the internet, through religious scriptures, through psychological books and will interact with the sad person using that knowledge to heal him. The "sad" person can trust the machine, because it won't tell his problem to anyone else, nor would it get judgemental, as normal human beings do. On a machine, we would have the power to keep only positive information in memory, so that it only gives Unconditional personalized positivity.
We plan to build the bot using Natural Language Processing to understand the "sad" person's problem, using Semantic-Nets(in Artificial Intelligence) at the backend to reply. The replies will be formed from the knowledge-base that is maintained by the system. The proposed knowledge-base system will be formed by extracting information from motivational lectures, books which give people Relationship advices. We plan to extract information from spiritual content available, to help people emotionally.
Social Data Mining To Counter Terrorism - Ketan Sud
Terrorism is a global issue which is affecting many nations directly or indirectly. Analyzing Terrorist Networks is the emerging field of analytics which have been explored in many subdomains viz. authorship analysis, multilingual text mining, feature extraction of dedicated terrorist groups, generating situational alerts or emergency responding systems etc. Terrorist Network Analysis is one of the applications which can help security intelligence to better understand the structure of social networks of terrorist groups of interest. Social media is a largely untapped source when it comes to effective methods of terrorism and while research on the topic exists, the reliance of major intelligence agencies is on traditional methods of identifying and countering terroristic intents. This project aims to use data sourced from Twitter and gradually other social networking sites and portals to create a predictive model to aid in the identification of perpetrators of terroristic activity that may take place.
- To develop crawling systems that can crawl the social data related to a terrorist group of interest from online social networks.
- To prepare data for analytics. Data Preparation involves Data Cleaning, Data Reduction, Data Transformation and Data Integration.
- To analyses the preprocessed data to mine social networks of terrorist groups of interests and predicting their behaviors.
Designing the Multiband Microstrip Patch Antenna (MSPA) for Rectenna - Sunny Kumar
The project aims to make Microstrip Patch Antennas for the purpose of designing Rectenna. This antennas is a combinational placement of three layers followed by Ground plane, Substrate and Patch (copper) on the top. In simple words, A Rectenna is a device which is combination of Antenna and Rectifier Circuit. Rectenna converts Microwave range frequencies into the DC current. Therefore I am designing this device for the purpose of Wireless power Harvesting. Wireless power harvesting is a new technology to harvest power from the ambient radio waves.
The ability to harvest RF energy, from ambient or dedicated sources, enables wireless charging of low-power devices and has resulting benefits to product design, usability, and reliability. So we can convert this energy into the electrical power by using the devices like Rectenna. Therefore we can use this energy to provide power our small power required devices. It is true that the energy obtained by this technology is not very high but we can make our sensors and other small equipment automatic working. By using this technology battery-based systems can be trickled charged to eliminate battery replacement or extend the operating life of systems using disposable batteries. Battery-free devices can be designed to operate upon demand or when sufficient charge is accumulated. In both cases, these devices can be free of connectors, cables, and battery access panels, and have freedom of placement and mobility during charging and usage. The Harvested energy can be used to charge or operate a wide range of low-power devices. At close range to a low-power transmitter, this energy can be used to trickle charge a number of devices including GPS or RLTS tracking tags, wearable medical sensors, and consumer electronics such as e-book readers and headsets. Depending on the power requirements and system operation, power can be sent continuously, on a scheduled basis, or on-demand. In large-scale sensors deployments significant labor cost avoidance is possible by eliminating the future maintenance efforts to replace batteries.
Biometric Based Locking System - Gaurav Shukla
A number of biometrics have been in use to identify individuals, the standard one being based on fingerprints, other relying over DNA, hand geometry, face, iris, retina, signature, ear-shape, voice etc. However, each of these has some minor setbacks. These are long testing times like in case of DNA (It takes 24-72 hours for identification). Or susceptible to duplication (face, hand prints, signature etc.).
However, another biometric based on EEG has come up in the recent years. It is one of the most fraud resistant biometrics. A research study has found a direct relationship between the EEG and the genetic information of a person. Therefore, EEG is a unique parameter over which user identification can be performed. EEG signals are used to record the electrical activity from the brain. These are recorded non-invasively from the scalp using electrodes placed on standard positions throughout it.
My objectives are to firstly identify the features in the EEG of a person that are unique as well as robust therefore not varying with time. Then I have to develop my own EEG headset after I have identified the lobes from where the unique features have been extracted. All the above objectives once met can be linked to almost any locking system that can be used in safes, doors, vehicles etc. Completion of this project can solve a number of problems pertaining to security and has a greater scope in the coming years when the reliance on other standard biometrics will decrease and new security tools will be required. Even Elon Musk has shown interest in Brain Computer Interfacing technology by creating Neuralink, a company set upto develop advanced biotechnology enhancements for the human brain. The project I am working on can solve a number of problems pertaining to security and has a greater scope in the coming years when the reliance on other standard biometrics will decrease and new security tools will be required.
Lead-free Pyroelectric Material for Energy Harvesting Applications - Nikhil Arora (now Subham Panda)
In our project the thrust is for looking advanced materials with ultra-high pyroelectric performance around room temperature and thus the present work is an attempt to explore the Barium Calcium Titatanate (BCT) with various dopants. These materials have permanent dipoles which change their orientation on the application of the heating and cooling of these materials.
A number of thermal energy harvesting devices are based on thermoelectric, photovoltaic, and solar thermal where pyroelectric materials have unique advantage as these respond only on thermal fluctuations. One of the energy harvesting applications using these materials could be during dawn and dusk time as photovoltaic devices cannot efficiently work during this period. It is due to fact that solar energy is not sufficient enough for photovoltaic devices during dusk and dawn. Whereas, pyroelectric devices can perform more effectively because of large temporal temperature changes during these time frame. Pyroelectric energy harvesting devices are complementary with other devices in true sense.
In this work where various materials, circuit and different methods are being explored. All the findings may suggest an avenue to design pyroelectric devices having superior performance and possible substitution to lead based ceramics. On successful completion of the project, we can make the energy system of the world completely environment-friendly and lead-free. Utilising the wasted heat to harvest energy can put a huge impact on the energy scarcity of the world.
Solar Powered Load Carrying Bot - Tarun Goyel
This project aims at developing an eco-friendly solar powered load carrying. This bot is completely different form the other bots already present in the market. Its power consumption is ¼ times the power that other bots carry and is a whole new concept of charging it with solar power. A completely revolutionized innovation that can charge the batteries in just 4 hours via solar panel and once completely charged, it can work continuously work for 8 hours. It can be an aid for modern industries which are dependent on the machines. Incorporating this bot in industries can lead to increasing the overall productivity of the industry by greater extent.
The body of the Bot would be made of sheet metal and the tires would have planetary gear arrangement in which single tire can carry a maximum load of 150Kg. There would be total of 6 tires powered from the motors. For carrying the load, lead screw mechanism would be incorporated which has greater strength and easy rotating characteristics.
There would also be a digital touch screen LCD Screen which will show all the parameters such as battery capacity remaining, beginning and end location, total load carried etc. This would enable remote operation from both mobile as well as PC connected over a same network.