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Performance analysis of low power 1-Bit CMOS full adder

One-bit full-adder efficiency and interpretation are anatomized into smaller parts. Such modules are thoroughly tested. Multiple designs are created, simulated and evaluated for each full adder. Twenty separate 1-bit full-adder modules are designed by integrating the various designs of these modules. Each of these full adder exhibits different power consumption, speed, area, and driving capabilities. Two realistic circuit structures that include full adders are used for simulation. The main aim of our project is to use CMOS technology to construct an optically reconfigurable low power full adder circuit. Analysis of time parameters in all existing full adders and comparison with the time study of our proposed circuit.

Published by: Nafies, Jenith K., Gowtham I. R., Arun Samuel T. S.

Author: Nafies

Paper ID: V6I2-1251

Paper Status: published

Published: March 27, 2020

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Others

Image de-noising and segmentation based on Fuzzy C-means clustering using Gaussian Noise

Image sweetening technology is the most efficient essential technologies in the image process field. The aim of image sweetening is to boost the interpretability or perception of knowledge in pictures for human viewers or to supply `better' Input for alternative machine-controlled image process techniques. Image Segmentation is one in every of the very important steps in the Image process for gathering data from the photographs. To check the effectiveness of noise in pictures, a noise like Gaussian noise measure added to the first image. The separate wave remodels (DWT) and Thomas Bayes Shrink soft thresholding is then applied for the removal of clamorous pixels and to smoothen the image. The planed technique is additional economical than the abstraction domain-based technique, is found to supply higher sweetening compared to alternative compressed domain-based mostly approaches. Within the end, the fuzzy-based mostly changed FCM bunch is performed on the de-noised pictures to provide clusters of segmented results.

Published by: D. Deepan, N. Vishal, Devanshu Gedam, G. Hari Aditya, V. Reji

Author: D. Deepan

Paper ID: V6I2-1303

Paper Status: published

Published: March 23, 2020

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Review Paper

Auto maintenance of poultry farm

The main idea of our project is to find the poultry farm parameters like Moisture, Temperature, water and feeding the chicks using temperature and humidity sensor, level sensor and timer. Moreover, we just update these values to the farmer using GSM, so that the users can get to know about the parameters of their farm from any distinct points away from their farm. The user can also manipulate and control the device which will be placed on the farm like turning OFF and ON through the mobile itself. Thus, the user can get details about their farm and also control the whole hardware device being in any part of the world away from their farm. Thus, our solution turns out to be a cost-effective one and also promotes healthy and efficient monitoring of poultry farms.

Published by: Oviya M., Susan Mano Derry V., Pavithira B., Nesavi S.

Author: Oviya M.

Paper ID: V6I2-1291

Paper Status: published

Published: March 23, 2020

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Research Paper

Artificial Intelligence in Software Defined Networking

This paper focuses on the challenges and opportunities of Software Defined Networking (SDN), as well as how to select the best possible SDN controller, which will help reduce the complexity of a network, price of implementation, and the maintenance of a network in any big organization. This is followed by a basic introduction to Artificial Intelligence and some of its important domains and their use in SDN.

Published by: Arhaan Aggarwal

Author: Arhaan Aggarwal

Paper ID: V6I2-1287

Paper Status: published

Published: March 23, 2020

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Review Paper

A literature review on physio-chemical parameters of domestic grey water of residential building

One of the most persistent complications of today is water inadequacy. International Water Management Institute has been estimated that one in three persons will face water inadequacy by the year 2025 in India and as per the United Nations report 2016 around 2.7 billion people by the same time worldwide. Although India occupies only 3.29 million km2 geographical areas which form 2.4% of the world’s land area, it supports over 15% of the world's population with only 4% of the world's water resources. With augmented population progression and development, there is a need to critically look at alternative approaches to ensure water availability. These alternative resources include rainwater and bulk of water used in the household will emerge as greywater and contain some organic waste materials dissolved and suspended in it. When this is allowed to flow out this will join the sewage and bacteriologically contaminated, resulting in a sewage stream. It is possible to intercept this greywater, at the household level, treat it so that it can be recycled for use of other purposes.

Published by: Ar. Niranjan Vilas Sangawar

Author: Ar. Niranjan Vilas Sangawar

Paper ID: V6I2-1280

Paper Status: published

Published: March 23, 2020

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Review Paper

Analytical overview of defuzzification methods

Fuzzy systems are of basically two types- fuzzy controllers and fuzzy reasoning systems. Defuzzification is the last step of the fuzzy system, which converts the fuzzy output set to a crisp value. This paper discusses the essential set of parameters that a defuzzification method should exhibits. Classification of different defuzzification methods is presented and each method is evaluated briefly based on the parameters discussed. The analysis of these methods emphasizes the need for a defuzzification method suitable for fuzzy reasoning systems as well as fuzzy controllers.

Published by: K. S. Gilda, Dr. S. L. Satarkar

Author: K. S. Gilda

Paper ID: V6I2-1278

Paper Status: published

Published: March 21, 2020

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