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A Brief Introduction on Artificial Intelligence

When we think about the term “artificial intelligence”, many of us imagine an army of human-like robots rebelling against humanity, while a few people from a more positive thinking community are envisioning a brighter future where AI serves them in all possible ways from preparing your regular coffee with the right amount of sugar to personalizing and prioritizing your office activities. AI should be seen as a broad concept in which machines can deal with tasks in a way we would call intelligent or smart. AI is a bunch of technologies that include machine learning and some other technologies like natural language processing (NLP), inference algorithms, neural networks, etc. To tick the box of being called AI, machines/programs must be capable of a few things. It should be able to mimic the human thought process and behavior and also act intelligent, rational and ethical just like the way humans do. AI has already made its way in our day-to-day lives through several applications we use but are not aware of. For example, personal assistants like Apple's Siri or Google's Google Assistant or Amazon's Alexa are some of the most widely used digital assistants who employ the concept of Artificial Intelligence like recognizing voices of various users, analyze the information they are given and provide an answer or a solution. There are many more examples. Experts predict AI will outperform humans at virtually everything in the following 45 years.

Published by: Mohammed Ahmed Ali

Author: Mohammed Ahmed Ali

Paper ID: V6I2-1238

Paper Status: published

Published: March 12, 2020

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Research Paper

A comparative analysis of seventh party logistics using AHP and FAHP

The aim of work is to investigate the important benefits and parameters of decision-making models in the ever-changing technological world of business. Decision-making models are helping function for decision-makers to make future objectives by using qualitative and quantitative data. In the present research work is a general idea about MCMD and comparison between two models. Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (FAHP) are used in the selection of a seventh party logistics (7pl)and comparative analysis results. MCMD is used with many complex problems, in the present paper seventh party logistics service providers are based on the selection of criteria and sub-criteria. Decision-makers can use this paper for choosing the suitable 7pl required for their operations.

Published by: J. Praveena, M. Pramila Devi

Author: J. Praveena

Paper ID: V6I2-1243

Paper Status: published

Published: March 12, 2020

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Research Paper

Estimation of sensory nutritive qualities of flaxseed cookies and it’s preparation

Cookies so-referred to as confectionary products which are consumed by al the age groups it is also an excel ent source and very convenient to get. According to the human diet, nowadays there is a lack of protein fibers and fat i.e.omega-3 fatty acid as per research, flaxseed contains omega -3 fatty acid (– linoleic acid (ALA) lignans, fiber, protein. This provides different health benefits such as reduction of heart disorders, cancer, and mental health. Due to this consumption of flaxseed in human

Published by: Shreya Wadbudhe, Rupali Deshmukh, Vaishali Dasriya

Author: Shreya Wadbudhe

Paper ID: V6I2-1183

Paper Status: published

Published: March 12, 2020

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Research Paper

Statistical analysis of exchange rate of New Zealand Dollar

The Research Paper contains the data of the Exchange Rate of New Zealand Dollar from the year 2000 to 2019. The analysis has been done to understand the trend in the Exchange Rate of New Zealand Dollar using 3 yearly moving average and least square method. It also helps in understanding the future trends in the Exchange Rate of New Zealand Dollar.

Published by: Sagar Abrol

Author: Sagar Abrol

Paper ID: V6I2-1236

Paper Status: published

Published: March 12, 2020

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Review Paper

Image retrieval using chromatic histogram based on color extraction

A new indexing technique for image databases integrating color and similarity information for chromaticity based image retrieval is proposed. This methodology, called chromatic histogram, extracts few values of information about the location of pixels having the same color and their arrangement position within the image, can be more satisfactory than other standard techniques like text, feature, and shape when the user would like to retrieve from the image databases that actually resemble the query image selected in their color distribution properties. Experimental trials on a database of about 1000 images are implemented on the basis of human perceptual judgments.

Published by: D. Ananth, K. Ayyapparaja

Author: D. Ananth

Paper ID: V6I2-1214

Paper Status: published

Published: March 12, 2020

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Research Paper

Instantaneous Battlefield Gun (IBG)

Internet of Things (IoT) is the system of inter related computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UID’s) and the ability to transfer data over a network without requiring human - human or human - computer interaction . IoT has made revolution in the field of military applications which bases for the purposes of reconnaissance, surveillance, together termed as Internet of Military Things (IoMT). Considering IoMT and applying the ideas of military domain, a potential application called Instantaneous Battlefield gun (IBG) is proposed. IBG is an instance of an automated security system which involves in detecting the obstacle using ultrasonic sensor and then aiming at it using laser beam of light. Security and accurate detection is the major concern of IBG.

Published by: Smitha Rani Sahu, Srivatsa Lasya Priya O, Sunkari Sanghavi, Surisetti Maheshwari, Dr. Esther Sunanda Bandaru

Author: Smitha Rani Sahu

Paper ID: V6I2-1191

Paper Status: published

Published: March 12, 2020

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