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1 Jun 17, 2020
Integrating Artificial Intelligence with Blockchain for the Application of Training Autonomous Cars

This paper describes the coalescence of Artificial Intelligence and Blockchain, the two booming technologies of the decade. These technologies are capable of a wide variety of applications both in our day to day life and in Industrial use. These technologies belong to different domains meaning both have their own unique architecture and purpose. We know that the autonomous cars are trained using machine learning algorithms, more specifically, they are trained through reinforcement learning. The process of learning can be tedious and time consuming as each and every car has to be trained before it can be out in the market. This problem of training each car can be overcome by Blockchain. Blockchain maintains a shared memory or logbook which stores the memory from all it’s connected nodes. Therefore, you need to train only one car and the others can use its experience or training thereby greatly eliminating the time of training all the cars....

Authors: M. Sandhya, G. Nihar, Dr. Shruti Bhargava.

2 Jun 17, 2020
SNIFFER TECHNOLOGY FOR DETECTING LOST MOBILE

SNIFFER is One of the most interesting things about cell phone is that it is really a radio an extremely sophisticated radio, which uses some band of frequency that has the basic working similar to the ordinary cordless phone. The mobile cellular communication has been appreciated since its birth in the early 70’s and the advancement in the field of VLSI has helped in designing less power, smaller size but efficient transceiver for the purpose of communication. In this paper we discuss the problem and the probable solution that could be done. The IMEI number is a unique number that is embedded in the mobile phone the main purpose of which is the blocking of calls that is made by unauthorized person once the mobile is reported as stolen but here we use it effectively for the purpose of detection.some of the impartent things are frequency that has to be generated by the transceiver section.the transmitter of the sniffer has to be a low power transmitter.this help in process of reducing the interference of the device with the device that are in the other cell....

Authors: N. Rohit, L. Prudhvi, N. Rohit, Shruti Bhargava Choubey.

3 Jun 17, 2020
SCREENLESS DISPLAYS – THE EMERGING COMPUTER TECHNOLOGY

This paper discusses advent of the Screenless display which is an emerging new technology , has become a good prospect in the near future for a wide range of applications. As the name implies it deals with the display of several things without the use of screens using projector. It involves the following 3 different working principles. The Visual image, Virtual retinal display, Synaptic interface. This paper mainly illustrates and demonstrates how the screen less displays works and its applications in various fields of science. This technology would bring about the revolution in the field of displays and monitors that are costly, huge and are proven difficult to manage the power requirements and constraints . It is also the futuristic technological innovation....

Authors: R.vamshi krishna,D.akhil , Shruti Bhargava Choubey.

4 Jun 17, 2020
FACE RECOGNITION USING NEURAL NETWORK

This paper represents the improvement of a system which can become aware of the man or woman with the assist of a face using artificial neural network approach. This system is implemented in two stages. They are the mastering level and the trying out stage. Image acquisition, preprocessing, photo filtering, function extraction and gaining knowledge of are blanketed within the getting to know stage. At first the machine takes the photograph of someone. The enter photograph is then transformed to a gray scale photo and the position of the face is detected from the picture after highpass filtering and part detection. The functions, grey stages of the image are extracted which can be represented as a matrix and this feature matrix is given as input for the Kohonen self organizing map and fed to this network. The unsupervised learning network is educated and creates a expertise base for destiny use. In the checking out degree the gadget takes the face of the picture of someone for recognition. Image acquisition, pre-processing, image filtering, feature extraction are similar to the gaining knowledge of level. For type the capabilities are fed to the community. The network will classify the face image from the information base and acknowledges it....

Authors: Naresh Dommata, Akhil Gulla, Shruti Bhargava Choubey.

5 Jun 17, 2020
A STUDY ON DRONE AUTONOMY

A quadcopter, also called a quadrotor helicopter or quadrotor,[1] is a multirotor helicopter that is lifted and propelled by four rotors. Quadcopters are classified as rotorcraft, as opposed to fixed-wing aircraft, because their lift is generated by a set of rotors (vertically oriented propellers). An autonomous agent is an intelligent agent operating on an owner's behalf but without any interference of that ownership entity....

Authors: K Nived Maanyu, D Goutham Raj, Shruti Bhargava Choubey.

6 Jun 17, 2020
A REVIEW ON MICRO ELECTRONIC PILL

The purpose of this paper is to provide the information about the innovation of new device called Micro Electronic Pill in the field of Bio-Medical Measurement, this is mainly used for diagnosis of internal part mainly gastrointestinal system which cannot be easily done with the help of normal endoscope. It is modern wireless type of endoscopic monitoring system. This tiny capsule can pass through our body, without causing any harm. It takes pictures of our intestine and transmits the same to the receiver of the Computer analysis of our digestive system. This process can help in tracking any kind of disease related to digestive system. Also we have discussed the drawbacks of PILL CAMERA and how these drawbacks can be overcome using Grain sized motor and bi-directional wireless telemetry capsule Besides this we have reviewed the process of manufacturing products using nanotechnology....

Authors: E.Suketha, S.Architha, Shruti Bhargava Choubey, Abhishek Choubey.

7 Jun 17, 2020
PROGRAMMING AND SIMULATION OF A ROBOT MODEL USING ROS AND GAZEBO

As the planet evolves into a much more technologically advanced world, there is a need for development of much advanced machines to reduce the effort put in by the mankind. The development of machines is a large field of work and to test the optimal working and efficiency of these machines, prototypes are to be modelled and put through a thorough observation. This process requires a lot of raw material for building and creating the environment for the machine to be tested in. An efficient alternative is virtually simulating the machine along with the testing environment. For machines like robots, there are many virtual modelling softwares and simulators available making the testing process much simple. One such alternative is ROS – Robot Operating System. It has all the required tools for modelling, testing and visualizing the robot inside a laptop. ROS comes with a simulator called Gazebo. Inside gazebo, one can create a virtual environment – a world, as gazebo refers it – and deploy robot models for testing. ROS makes it easy to create a robot model using URDF – Unified Robot Description Format – an XML based text program that can model the robot as required. In this paper, creating a custom modelled robot and deploying it in a “world” is discussed....

Authors: Bhanu Praharsha Rapelly, Divya Vajroju, Shruti Bhargava Choubey.

8 Jun 17, 2020
EMBEDDED DEEP LEARNING IN IOT

The proliferation of IoT devices heralds the emergence of intelligent embedded ecosystems that can collectively learn and that interact with humans in a human-like fashion. Recent advances in deep learning revolutionized related fields, such as vision and speech recognition, but the existing techniques remain far from efficient for resource-constrained embedded systems. This dissertation pioneers a broad research agenda on Deep Learning for IoT. By bridging state-of-the-art IoT and deep learning concepts, I hope to enable a future sensor-rich world that is smarter, more dependable, and friendlier, drawing on foundations borrowed from areas as diverse as sensing, embedded systems, machine learning, data mining, and real-time computing. Collectively, this dissertation addresses five research questions related to architecture, performance, predictability and implementation. First, are current deep neural networks fundamentally well-suited for learning from time-series data collected from physical processes, characteristic to IoT applications? If not, what architectural solutions and foundational building blocks are needed? Second, how to reduce the resource consumption of deep learning models such that they can be efficiently deployed on IoT devices or edge servers? Third, how to minimize the human cost of employing deep learning (namely, the cost of data labeling in IoT applications)? Fourth, how to predict uncertainty in deep learning outputs? Finally, how to design deep learning services that meet responsiveness and quality needed for IoT systems? This dissertation elaborates on these core problems and their emerging solutions to help lay a foundation for building IoT systems enriched with effective, efficient, and reliable deep learning models....

Authors: Uma Sai Chaitanya Khandavalli, Ginnaram Nishanth Goud, Shruti Bhargava Choubey.

9 Jun 17, 2020
ALERT SYSTEM FOR EMERGENCY VEHICLES

In a developing country like India, the population growth is rapid which obviously increases the traffic. Due to the increase in population, there has been a rapid growth in vehicle number which has become a major problem. Increase in the number of vehicles has exponentially increased the problem of traffic congestion which interferes the smooth flow of the traffic in the major cities of the country. This traffic congestion not only wastes the time of the citizens but also many of the vehicle users does not turn their engines off. This leads to the wastage of the fuel which has become one of the major problems in the current environment. Moreover it also causes the environmental pollution. Thus traffic congestion control and maintaining the smooth flow of traffic has become the biggest challenge for the traffic department in the country. Many manual methods have been implemented in order to control this problem but none of those have been successful. Using Internet of things, we can make use of cloud technology and various sensors to detect the number of vehicles in a single lane. We try to make decisions that are labour free and makes the solution even more useful and simpler. This traffic congestion causes many problems such as wastage of Fuel, Delay of travel and other issues. The traditional traffic system can be changed by using IR sensors to note the distance of the vehicle from the traffic lights. And according to the distance we can adjust the give the “GO” light to the lane whose traffic is at a less distance. After the signal is given we shift to the next lane in a cycle order. Since we are dealing with the density at which the vehicle is far from the traffic light we named the system as “Density based Traffic Control System”. The system also comprises of detection emergency vehicles such as Ambulances, VIP vehicles etc. This can be attained by the usage of RFID (Radio Frequency Identification) sensors which are deployed along with the IR sensors. RFID tags are deployed in the vehicles that are important. When these vehicles approach the junction, receiver detects the presence of the vehicle. Hence the lane having the emergency vehicle is provided GREEN signal irrespective of its density....

Authors: A. Dhanush, B. Akhil Goud, Shruti Bhargava Choubey, Abhishek Choubey.

10 Jun 17, 2020
HOTSPOT TECHNOLOGY IN CRICKET

The game of cricket and the use of technology in the sport have grown rapidly over the past decade. However, technology-based systems introduced to adjudicate decisions such as run outs, stumpings, boundary infringements and close catches are still prone to human error, and thus their acceptance has not been fully embraced by cricketing administrators. In particular, technology is not employed for bat-pad decisions. Although the snickometer may assist in adjudicating such decisions it depends heavily on human interpretation. The aim of this study is to investigate the use of Wavelets in developing an edge- detection adjudication system for the game of cricket. Artificial Intelligence (AI) tools, namely Neural Networks, will be employed to automate this edge detection process. Live audio samples of ball-on-bat and ball-on-pad events from a cricket match will be recorded. DSP analysis, feature extraction and neural network classification will then be employed on these samples. Results will show the ability of the neural network to differentiate between these key events. This is crucial to developing a fully automated edge detection system....

Authors: Hariteja Udayagiri, Muhammad Arbaaz Hussain, Shruti Bhargava Choubey.

11 Jun 17, 2020
AUTOMATIC SUN TRACKING SYSTEM

In it uses solar cells to produce electricity. While the output of solar cells depends on the intensity of sunlight and the angle of incidence. It means to get maximum efficiency; the solar panels1 must remain in front of sun during the whole day. But due to rotation of earth those panels can’t maintain their position always in front of sun. This problem results in decrease of their efficiency. Thus to get a constant output, an automated system is required which should be capable to constantly rotate the solar panel...

Authors: A.Nikhitha, P.Sravani, Shruti Bhargava Choubey, Abhishek Choubey.

12 Jun 17, 2020
ADAPTIVE BEAM FORMING IN SMART ANTENNA FOR MOBILE COMMUNICATION

Beamforming the nature of smart antenna which provides improvement on all sorts of wireless communication but still need for study. This paper presents the complete survey of adaptive beamforming strategy for smart antenna. The main goal of this paper is to study the various approach is used for designing the smart antenna and find the issue which is not used in previous work. This paper also proposed a work to solve the sorts in mobile communication with smart antenna....

Authors: Brahmat Shashank , Ganta Raghavender, Shruti Bhargava Choubey.

13 Jun 17, 2020
3D MAPPING USING LIDAR IN ROS

LIDAR (light detection and ranging) these sensors are now getting more close to common men these were first introduced in 1960’s for detection of submarines by aircrafts and ships to detect ground objects distance and now they came way ahead and are now at our door step they are highly being used in mobile automation industry and for home automation there are two kinds of lidar’s 2D and 3D .The 2D lidar’s are used to get planer maps where in 3D lidar’s are used for three dimensional mapping of objects and obstacle avoidance by modern self-driving cars .These lidar’s are also used by drones to collect the aerial views....

Authors: Srinivas Peri, Tejaswini Kallakuri, Shruti Bhargava Choubey.

14 Jun 17, 2020
A REVIEW ON FEMTO CELL TECHNOLOGY

The popularity of wireless networks has attracted the attention of researchers to improve the network system and this motivated the operators to find a new technology called femtocells with the aim of meeting the increased coverage and data demand in the indoor environment. The application of femtocells in both indoors and office environment has provided good quality service and high performance network gains....

Authors: B.Anusha, M L.Nihitha priya, Shruti Bhargava Choubey.

15 Jun 17, 2020
SOLAR SAILS

One key challenging issue of facial expression recog- nition is to capture the dynamic variation of facial physical structure from videos. In this paper, we propose a Part-based Hierarchical Bidirectional Recurrent Neural Network (PHRNN) to analyze the facial expression information of temporal se- quences. Our PHRNN models facial morphological variations and dynamical evolution of expressions, which is effective to extract “temporal features” based on facial landmarks (geometry information) from consecutive frames. Meanwhile, in order to complement the still appearance information, a Multi-Signal Convolutional Neural Network (MSCNN) is proposed to extract “spatial features” from still frames. We use both recognition and verification signals as supervision to calculate different loss functions, which are helpful to increase the variations of different expressions and reduce the differences among identical expressions. This deep Evolutional Spatial-Temporal Networks (composed of PHRNN and MSCNN) extract the partial-whole, geometry-appearance and dynamic-still information, effectively boosting the performance of facial expression recognition. Experimental results show that this method largely outperforms the state-of-the-art ones. On three widely used facial expression databases (CK+, Oulu-CASIA and MMI), our method reduces the error rates of the previous best ones by 45.5%, 25.8% and 24.4%, respectively....

Authors: P . Bhargav ram , K. Ashok kumar, Shruti Bhargava Choubey.

16 Jun 17, 2020
FERROELECTRIC MEMORY

The current standing of developments within the field of ferroelectric memory devices has been considered. The rapidly growing market of non volatile memory devices has been analysed, and the current state of the art and prospects for the scaling of parameters of non volatile memory devices of different type considered. the fundamental constructive and technological solutions within the field of the look of ferroelectric letter of the memory devices, still because the “roadmaps” technology, are mentioned.This analysis paper focuses on the implementations of “Battery Less sensible phones”, and on its pros and cons. It will also state some of the economic and potential changes that may be created as per our research....

Authors: Akhil Reddy, Avinash, Shruti Bhargava Choubey.

17 Jun 17, 2020
PAPER BATTERY

The paper battery is designed to use a paper-thin sheet of cellulose (which is the major constituent of regular paper, among other things) infused with aligned carbon nanotubes. The nanotubes act as electrodes, allowing the storage devices to conduct electricity. The battery will currently provide a low, steady power output as well as a supercapacitor’s quick burst of energy. While a conventional battery contains a number of separate components, the paper battery integrates all of the battery components in a single structure, making it more energy efficient andlighter.A paper battery is a flexible, ultra-thin energy storage and production device formed by combining carbon nanotube s with a conventional sheet of cellulose- based paper. A paper battery acts as both a high-energy battery and supercapacitor, combining two components that are separate in traditional electronics. This combination allows the battery to provide both long-term, steady power production and bursts of energy. Non-toxic, flexible paper batteries have the potential to power the next generation of electronics, medical devices and hybrid vehicles, allowing for radical new designs and medical technologies. It is a glimpse into the future of power storage. The team behind the versatile paper, which stores energy like a conventional battery, says it can also double as a capacitor capable of releasing sudden energy bursts for high-power applications....

Authors: Gangadi Ananya, samala ravali,Abhishek Choubey.

18 Jun 17, 2020
RTOS BASED AUTOMATIC SECHDULING FOR MILITARY APPLICATIONS

This paper is an Rtos based architecture designed for the purpose of metal detection. The main objective of the RTOS is to manage the allocation of the resources to users in an orderly and controlled manner. Here, Sechduling is the one which is uesd to aviod the delay between one application with another. We are using in the mobile communication to receive the condition of the border level. Using mobile communication we are giving the indication to the monitoring section. The RTOS based automatic Sechduling is done all applications at a time without any timedelay. A RTOS comprises of two components, viz., "Real-time" and "operating system" . Real time systems are those systems in which the correctness of the system depends not only on the logical result of computation, but also on the time at which the results are produced. RTOS are those which must produce correct response with in a definite time limit. By use of proper techniques of Sechduling, we can perform multiple task in a given time....

Authors: B. Sujatha, B. Poojitha, Shruti Bhargava Choubey, Dr S.P.V Subba Rao, Abhishek Choubey.

19 Jun 17, 2020
FACIAL EXPRESSION RECOGNITION BASED ON DEEP EVOLUTIONAL SPATIAL-TEMPORAL NETWORKS

One key challenging issue of facial expression recog- nition is to capture the dynamic variation of facial physical structure from videos. In this paper, we propose a Part-based Hierarchical Bidirectional Recurrent Neural Network (PHRNN) to analyze the facial expression information of temporal se- quences. Our PHRNN models facial morphological variations and dynamical evolution of expressions, which is effective to extract “temporal features” based on facial landmarks (geometry information) from consecutive frames. Meanwhile, in order to complement the still appearance information, a Multi-Signal Convolutional Neural Network (MSCNN) is proposed to extract “spatial features” from still frames. We use both recognition and verification signals as supervision to calculate different loss functions, which are helpful to increase the variations of different expressions and reduce the differences among identical expressions. This deep Evolutional Spatial-Temporal Networks (composed of PHRNN and MSCNN) extract the partial-whole, geometry-appearance and dynamic-still information, effectively boosting the performance of facial expression recognition. Experimental results show that this method largely outperforms the state-of-the-art ones. On three widely used facial expression databases (CK+, Oulu-CASIA and MMI), our method reduces the error rates of the previous best ones by 45.5%, 25.8% and 24.4%, respectively....

Authors: Gowtam Reddy Gurrala, Ajay Duddu, Shruti Bhargava Choubey.

20 Jun 17, 2020
IMOUSE: EYES GESTURE CONTROL SYSTEM

A high number of people, affected with neuro-locomotor disabilities or those paralyzed by injury cannot use computers for basic tasks such as sending or receiving messages, browsing the internet, watch their favorite TV show or movies. Through a previous research study, it was concluded that eyes are an excellent candidate for ubiquitous computing since they move anyway during interaction with computing machinery. Using this underlying information from eye movements could allow bringing the use of computers back to such patients. For this purpose, we propose an imouse gesture control system which is completely operated by human eyes only. The purpose of this work is to design an open-source generic eye-gesture control system that can effectively track eye-movements and enable the user to perform actions mapped to specific eye movements/gestures by using computer webcam. It detects the pupil from the user’s face and then tracks its movements. It needs to be accurate in real-time so that the user is able to use it like other every-day devices with comfort....

Authors: K.Sathya Narayana R.Chanukya Nandu, Shruti Bhargava Choubey.

21 Jun 17, 2020
MICROWAVE LIFE DETECTION SYSTEM UNDER RUBBLE

Many people are killed during natural disaster which includes a cause of earthquake or manmade disasters like landslides, building collapse and avalanche. There is no end to the lives lost as the result of these disasters. When victims were trapped under rubble, there was a little chance that they would found. Due to fact that rescue techniques like optical devices, robotic systems were found limited application for the detection of buried victims. The use of sniffing dogs for detection of dead victims takes precious time which can be utilized to save alive victims. If the victim was unconscious and was unable to shout for help, then the existing rescue systems found to be failed. In order to decrease the death rate of the world caused due to these disasters, A Revolutionary System was developed to detect the victims trapped under the rubble using Microwaves. The Micro Wave Life Detection System is developed for the search and rescue of victims trapped under rubble of collapsed buildings during disasters under the principle of Doppler frequency shift. The life signs can be detected as it can able to sense to heartbeat and breathing fluctuations of human being of buried victims. By advent of this system the world death rate as a cause of earth quake may decrease to the greater extent....

Authors: Pabbathireddy Navya, Dumbala Manisha, Shruti Bhargava choubey.

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