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Research Paper

Design and analysis of VLSI circuit’s speed using CNFET technology

This paper presents the difference between the CNFET and CMOS technologies by using the design of an efficient 8×8 Vedic multiplier with Urdhva-Tiryagbhyam sutra. A carbon nanotube field-effect transistor (CNFET) uses either a single carbon nanotube or an array of carbon nanotubes as the channel material instead of bulk silicon in the traditional MOSFET structure. CNFETs show different characteristics compared to MOSFETs in their performances. The CNFET has many parameters such as operating voltage, number of tubes, pitch, nanotube diameter, dielectric constant, and contact materials which determine the digital circuit performance. This reduces the size of the chip but also cost and delay to a great extent. Here the comparison of CMOS technique with the proposed CNFET technique in terms of speed, power consumption, number of transistors, delay takes place.

Published by: Shaik Suhana, Yarasi Thejsawini, P. Madhavi

Author: Shaik Suhana

Paper ID: V4I3-1219

Paper Status: published

Published: May 3, 2018

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Technical Notes

Electronics notice board using Arduino

Electronic or Moving Message Boards are being used in a wide variety of applications for communicating information to people quicker and in a cost-effective manner when compared to traditional posters or paper notice boards. While e-mail is a way to converse privately with one or more people over the Internet, electronic notice boards are totally public. Any message posted on one can be read (and responded to) by everybody else in the organization who has viewed it. This paper focuses on designing an e-display which can accept data wirelessly from any authorized person who has the access of the web terminal; it means integrating the traditional moving message displays with an Arduino so that they can be accessed wirelessly as an application of IoT (Internet of Things).

Published by: Deshpande Arti Prakash, Bhatane Sadhana Gurunath, Apsingekar Sayali Jagdish, Gaurav V.Chalkikar

Author: Deshpande Arti Prakash

Paper ID: V4I3-1167

Paper Status: published

Published: May 3, 2018

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Review Paper

A review paper to detect electricity theft in power system

The power sector is one of the most important sectors for the development of the country. Now a day’s power theft is the center of focus all over the world, but India has a more significant effect on the Indian economy because the figure is so high. The theft causes huge loss of electricity to electricity board. India loss billions of rupees because of unbilled consumption & unlaughable usage of electricity. It always a difficult task for Indian government & electricity company to achieve their aim due to power theft. The recent researcher observes that 30-35% profit of electric board is waste in power theft. And this amount is recovered by increasing the price of electricity & the looser are the honest customer. Electricity theft can be reduced by applying technical solutions such as tamper-proof meters, managerial methods such as inspection and monitoring, and in some cases restructuring power systems ownership and regulation. So the aim of our paper is to eliminate all this difficulty like overload & heavy power and revenue loss that occurs due to power theft by designing the simple device to send & receive a message to the receiver for locating the area where the theft is occurring. Then according to the type of theft done by the accused, device helps to deactivate the power supply of particular home or area.

Published by: Pallavi S. Borle, Sonal S. Tayade, Vishal S. Wawge, Yogesh Sushir

Author: Pallavi S. Borle

Paper ID: V4I3-1194

Paper Status: published

Published: May 3, 2018

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Research Paper

Electro-pneumatic braking system

“Electro-Pneumatic braking system” uses laws of pneumatics to apply the brakes. When any hurdle is sensed in the path by the sensors, it will apply the instant break in seconds, So that it will reduce the accidents which are caused by human unawareness’s. So basically whenever the Bike senses any object ahead, it will apply automatic brakes by determining the distance, which we put in sensors. We have used Pneumatic breaking circuit and IR sensors to perform these operations. The circuit can break the vehicle within seconds running at a high speed. Automatic brake with the electro-pneumatic system will provide extra safety to the two-wheelers. This project has been made to perform the required task in shortest time and to add some innovation in the automobile industry.

Published by: Ketan H. Mhatre

Author: Ketan H. Mhatre

Paper ID: V4I3-1211

Paper Status: published

Published: May 3, 2018

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Research Paper

Appraisal system for academic institutions

Although the substantial literature on the use of performance appraisal in the profit sector already exists, there is very little literature available regarding the appraisal of staff positions in higher education. This study provides a detailed look at the appraisal of all faculty members in a College under a University. The study points that based on the experience and expertise of the staff and fair and reliable administration decisions, staff’s ability and efficiency can be boosted many folds. Discontentment was found with the appraisal process due to the supervisors not being held liable for the timely completion of the appraisal process and the lack of training provided to supervisors for performing appraisals.

Published by: Prateek Bansal, Shivam Soni, Ritesh Mishra

Author: Prateek Bansal

Paper ID: V4I3-1212

Paper Status: published

Published: May 3, 2018

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Research Paper

Object recognition using surveillance dynamic background for cluster recognition

The paper aims to develop an object detection method combining classification and cluster. Object detection is a challenging, yet important vision task. It is a critical part in many applications such as image search, image auto-annotation and scene understanding. Our proposed method work is dividing in two part.1) image classification and 2) clustering method. In this classification part LTP (local ternary pattern) features used to match the dataset image. This LTB features extracted from our input de-blurred image. Finally object is classified and then object is detected using clustering methods. As far as the robustness and effectiveness are concerned, our method is better than the existing image segmentation algorithms.

Published by: Ravi Satvik Gorthi, Bhargava Krishna Pasupuleti, Datharla Pandu Ranga Rohith, R. Sathya

Author: Ravi Satvik Gorthi

Paper ID: V4I3-1213

Paper Status: published

Published: May 3, 2018

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