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Research Paper

Dominating electrons,causes of earth’s magnetic field

The inner core of the earth is made of molten iron due to the extreme heat the electrons have been removed from their higher orbit and ionized. Ionization is the remove (or) escaping of electrons of the atoms from their orbit. The electrons thus ionized rising, flee towards the surface of the earth from south pole to the North pole distinctly paths on the Earth's surface and stirs the electrons in the higher orbit of the atoms of Soiled, Oceans and atmosphere causing a great magnetic field. Those stirred electrons which cause the magnetic field are called Dominating Electrons.

Published by: Einstein Kannan

Author: Einstein Kannan

Paper ID: V5I2-1485

Paper Status: published

Published: April 6, 2019

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Review Paper

Raid hailing services guardian system

While cabs have become the new idea of public transport, the increase in cab users has also given way to more crime. In cases of harassment of female passengers traveling alone in cabs in the cities has reported where the victims have been unable to escape due to locked rear doors using Child lock. This feature is indeed dangerous at the time of any disaster or emergency. The paper aims at providing passenger security in public transportation vehicles (/cabs) by providing child lock control to the passenger and also generating reliable driver profile to ensure the safe journey. The Driver profile is cumulative with respect to the passenger feedback and behavioral analysis of driver. The behavior analysis parameters such as alcohol consumption and sudden change in velocity, direction, abrupt brakes, are detected using suitable sensors. The profile would be generated using Cognitive Agents which provides reliability to the system.

Published by: Seema B. Hegde, Vinay Kumar G., Srinidhi Patil, Subrahmanya M.

Author: Seema B. Hegde

Paper ID: V5I2-1703

Paper Status: published

Published: April 6, 2019

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Research Paper

Aquaculture monitoring and control system: An IoT based approach

Internet of things(IoT) is one of the rapidly developing fields for giving social and financial points of interest for rising and creating an economy of the nation. Presently IoT field is flourishing in areas like medical, agriculture, transportation, training, etc. This is of most importance because of aquaculture is a backward region of applied science. contrasted with other zones like agriculture, consequently, it’s essential to determine the issues that are in this area with the assistance of technology. Water quality might be a basic issue, it mainly depends upon numerous parameters like dissolved oxygen, carbonates, turbidity, ammonia, nitrates, salt, pH, temperature, etc. The proposed system continuously monitors the water quality parameter using sensors, the detected information is conveyed to the aqua-farmer mobile via the cloud. accordingly, actions will be taken in time to reduce the losses and improve productivity. Among the issues, the slow latent period within the care of water quality, and therefore the wastage of resources like water, in cultivation are the necessary problems has to be addressed. The proposed system monitor the aquarium and uses the waste water from the aquarium to grow the plants, in turn, the pH and ammonia neutralized water from hydrogen clay pellets in grow bed is fed back to the aquarium.

Published by: Preetham K., Mallikarjun B. C., K. Umesha, Mahesh F. M., Neethan S.

Author: Preetham K.

Paper ID: V5I2-1706

Paper Status: published

Published: April 6, 2019

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Research Paper

Dynamic double tail comparator proposed having low-voltage low-power using 180nm technology

The necessity for ultra-low-power, high speed, and area efficient analog-to-digital converters is driving toward the use of dynamic regenerative comparators to maximize speed and power regulation. This paper describes the Double Tail Dynamic Comparator designed in 180nm CMOS Technology. The circuit works on very less power supply of 200mV. The power dissipation of the circuit is approx. 160 nW. The slew rate of the circuit is quite high. The design work at the 1 GHz of frequency it is shown that in the proposed dynamic comparator both the power consumption and delay time are significantly reduced.

Published by: Sapna Balayan, Anshu Gupta

Author: Sapna Balayan

Paper ID: V5I2-1721

Paper Status: published

Published: April 6, 2019

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Review Paper

Design and fabrication of automatic and multifunctional pneumatic machine

A pneumatic machine is for sheet metal industry and can be made into multiple machines and should be used as “U” shaped clamp and also circle cutting cum straight cutting machine. This machine is simple to maintain easy to operate. Hence we tried out hands-on Pneumatic Shearing Machine In shearing operation as the punch descends upon the metal, the pressure exerted by the punch first cause the plastic deformation of the metal. Since the clearance between the punch and the die is very small, the plastic deformation takes place in a localized area and the metal adjacent to the cutting edges of the punch and die edges becomes highly stressed, which causes the fracture to start on both sides of the sheet as the deformation progresses. And the working of the pneumatic system depends upon air compressor, which converts mechanical energy into, pressure energy of compressed air. The compressed air should be proposed to move the piston of the pneumatic cylinder. The linear movement of the piston and piston rod can be used to get various mechanical operations like bending, cutting, punching, and hammering etc.

Published by: Jhunjhun Kumar Mishra

Author: Jhunjhun Kumar Mishra

Paper ID: V5I2-1420

Paper Status: published

Published: April 6, 2019

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Review Paper

Automated essay scoring using machine learning

Through this project, we aim to build a linear regression model for automated essay grading. Essays form a huge part of certain college applications and are a part of major competitive exams such as GRE, GMAT etcetera. Manually grading the essays can be extremely time consuming and pressurizing for the instructor. To make these tasks simple, we can train an essay grading program to do the grading automatically. The aim of the grader would be to predict the score of the essay with as much accuracy as possible. The machine assigns scores and should be near the human grader’s score. A dataset of around 2000 essays was used. The essays were graded on the basis of parameters like word count, coherence, number of long words, correct grammar, etc. Feature selection is used to arrive at the most accurate score prediction.

Published by: Aarnav Singh, Daksh Pant

Author: Aarnav Singh

Paper ID: V5I2-1722

Paper Status: published

Published: April 6, 2019

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