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Review Paper

Neutrophil Extracellular Traps – The catapult of periodontal disease

Neutrophils are highly versatile and sophisticated cells which act as the body’s first line of defence. They act as effectors in both innate and adaptive immunoregulatory networks. Neutrophil extracellular traps are a new and unexpected antimicrobial activity of neutrophils wherein upon encountering bacteria, neutrophils release a meshlike structure capable of ensnaring and eliminating microbes. Studies have shown that periodontitis is characterized by neutrophil infiltration and the formation of Neutrophil Extracellular Traps (NETs). This review is intended to highlight the structure and formation of NET, NETosis, NET in health and disease and the role of NET production in periodontal pathophysiology.

Published by: Dr. Sharon J. Thomas, Dr. Arunima P. R., Dr. Seba Abraham, Dr. Reejamol K.

Author: Dr. Sharon J. Thomas

Paper ID: V5I3-1954

Paper Status: published

Published: June 21, 2019

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Others

Criminal identification using facial recognition

individualistic characters of the human face can be extracted by face recognition. The human face detection and recognition finds a major role in the application as video surveillance, face image database management. Face recognition is a simple and agile biometric technology. This technology uses the most obvious human identifier of the face. The face recognition finds its application in security, health care, criminal identification, places where human recognition is the necessity. With the advancement in technology, the extracting features of the human face become simpler. This paper discusses a different algorithm to recognize the human face. The purpose is to identify the criminal face and retrieve the information stored in the database for the identified criminal. The process is categorized into two major steps. First, the face is extracted from the image, distinguishing factors in the face are extracted and stored in the database. The second step is to compare the resultant image with the existing image and return the data related to that image from the database.

Published by: Archana Naik, Rohan Basukala, Santosh Tiwari, Tanka Prasad Tiwari, Prajwal Deep Bhandari, Asha H. V.

Author: Archana Naik

Paper ID: V5I3-1920

Paper Status: published

Published: June 21, 2019

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Technical Notes

Business reshaping using Artificial Intelligence

AI is one of the emerging technologies that have a very long history which is constantly changing and growing in the field of business. In this paper, we will explain the modern AI basics and various aspects, applications of AI and its future in business. AI technology helps in many businesses by reducing operational cost, increase efficiency and improve customer experience. AI comprises of multiple tools that are having the ability to process huge amounts of data by computers with the help of smart technologies like machine learning, natural language processing. Nowadays many customers are also appreciating most of the AI-driven everyday technologies like credit card fraud detection, e-mail spam filters and predictive traffic alerts. The field of AI is shifting toward building intelligent systems that can collaborate effectively with people, including creative ways to develop interactive and scalable ways for people to teach robots. This paper is focusing on the Vehicle Integrated Artificial Intelligence System (VIAIS).

Published by: Ashish Tripathi, Bhawna, Reeta Parmar

Author: Ashish Tripathi

Paper ID: V5I3-1951

Paper Status: published

Published: June 21, 2019

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Dissertations

Youths as the selling agents and decision makers: A study on the impact of lifestyle advertisements on youth

In the modern democratic society, mass media plays an important role. Advertising, being the primary channel of communication, unconsciously filters through the ideas about how identities are constructed within the society. Advertising is today considered to be necessary for economic growth. Critics have accused it of an array of sins ranging from economic waste to promotion of harmful products, from triviality to intellectual and from sexism to deceit, manipulation & moral pollution. But studies have shown that there is growth in the advertising industry due to advancements in technology

Published by: Manisha Singhal

Author: Manisha Singhal

Paper ID: V5I3-1940

Paper Status: published

Published: June 21, 2019

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Research Paper

A comparative study to assess the psychosocial problems among elderly people residing in old age home and within families at selected areas of Kolhapur district, with a view to develop an information booklet

The non-experimental, descriptive comparative research design was used, which consists of a group of 100samples that were selected by using non-probability, purposive sampling technique. Data was collected by using Sociodemographic variables and Modified WHO Quality of life and psychosocial wellbeing scale through structured interview schedule after assessing the psychosocial problem score the information booklet was given to the elderly people residing in old age home and within families at Kolhapur district.

Published by: Sonia Ramesh Gaikwad

Author: Sonia Ramesh Gaikwad

Paper ID: V5I3-1948

Paper Status: published

Published: June 21, 2019

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Research Paper

Short term load forecasting using adaptive neuro-fuzzy inference system

In Electric power system operations forecasting is an integral part, as it is the primary prerequisite for achieving the goal of optimal planning and operation of power systems. Short term load forecasting is necessary for the control and scheduling operations of a power system and also acts as input to the power analysis functions such as load flow and contingency analysis. This paper deals in short term load forecasting using adaptive neuro-fuzzy inference system (ANFIS). The set of inputs utilized to perform STLF is non- linear, therefore an adaptive decision-making system is attempted for the purpose of accurately mapping the inputs to the output. An ANFIS based system has the merits of fuzzy logic capable of mimicking the way human beings reason, and artificial neural networks with the adaptive learning ability. Such a hybrid system is composed of fuzzy if-then rules. For this workload and temperature data of March month is used and load is forecast for working day. For this work consider Holiday is Sunday, Preholiday is Saturday, Post-holiday is Monday and Working day is Tuesday, Wednesday, Thursday and Friday. The Training and Testing of ANFIS is done using MATLAB version7, R2013a.

Published by: Ashish Shukla, S. K. Bajpai

Author: Ashish Shukla

Paper ID: V5I3-1968

Paper Status: published

Published: June 21, 2019

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