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Research Paper

Application of quality function deployment for design improvement of car rear seat design

Quality function deployment has been widely used to capture the voice of the customer and translate it into technical requirements in the development of products and services. It is a link between product or service development and technical specifications to achieve customer satisfaction. The refinement of restraints for rear seat passengers remains a developing field in automobile safety. Boosters have been shown to significantly reduce abdominal injuries caused by seatbelts. In this paper, an effort is made to use quality function deployment for increasing child safety. An opinion of customers is taken for improving the design of rear seat of a car considering child safety. A house of quality is prepared. Use of the same will be done in designing rear seat of a car.

Published by: Randive Sonali Achyut, Shrikant T. Jagtap, Dr. S. P. Kallurkar

Author: Randive Sonali Achyut

Paper ID: V4I3-1948

Paper Status: published

Published: June 28, 2018

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Review Paper

Modulation of NF-κB – A novel approach for the development of anticancer drugs

Worldwide cancer is the leading cause of death; leukocytes within tumors and at the sites of chronic inflammation provided the first indication of a possible link between inflammation and cancer. Inflammation plays a crucial role at different stages of tumor growth via. transcription factors and inflammatory mediators such as TNF, IL’s, chemokines COX-2, STAT3and NF-κB. Nuclear factor-kappa B (NF-κB) has been one of the most extensively investigated transcription factors for its role in cancers. The NF-κB signaling pathways are vital in the initiation and progression of cancer which can act as a node of pharmacological interference in the management of tumor. However, NF-κB is an essential player in the immune response against various cancer developments; hence inhibition of NF-κB seems to be always important in the treatment of various malignancies. The application of an NF-κB inhibitor may prove useful in anticancer therapy by converting anti-apoptosis effect of NF-κB into apoptotic nature. Therefore, current review focuses on the role of NF-κB in Inflammation Induced cancer (IIC) and prospects for developing of a novel treatment for inflammation-related cancer.

Published by: Santosh G Rathod, Ajay D Kshirsagar, Shashikant Dhawale

Author: Santosh G Rathod

Paper ID: V4I3-1995

Paper Status: published

Published: June 28, 2018

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Survey Report

Indian financial investment market products: Survey, analysis and trends

The Indian Financial Investment market is an ever developing industry, which has a very high potential of developing to new levels in the near future. The Indian Economy is vouched for a double-digit growth rate in the near future which has sent a very optimistic note to the investors in the financial market. The Indian Financial Investment Market is known for its variety of offers which range from the Money Market to the Capital Market offerings. An Analysis of the Investment market products has become of a prime importance to the offering firms as well as the investors in order to achieve the requisite level of confidence and acceptability for the product. This study Analyses the Indian Investment market considering the Marketing mix parameters and the acceptance of any new product financial product offering like Cryptocurrency Investments in the Indian Market

Published by: Vaibhav Aaradhi

Author: Vaibhav Aaradhi

Paper ID: V4I3-1981

Paper Status: published

Published: June 28, 2018

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Research Paper

Six sense (A step toward advance world)

This paper deal with the description and advanced use of Six Sense Technology in the scientific field. This technology is based on the gesture recognition concept. the camera of the six sense device capture the image or the gesture made by the user and device perform the specific task. This technology totally aims at avoiding the hardware and make the digital world to be controlled by a hand gesture.

Published by: Abhinav Kumar Abhay, Disha AP

Author: Abhinav Kumar Abhay

Paper ID: V4I3-1833

Paper Status: published

Published: June 27, 2018

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Research Paper

Datagram transport layer security in Java

This paper explains transport layer security implemented in Java 9 based on datagram protocol. Building secure software requires the use of a wide variety of security controls, at different layers of the application. Java 9 security enhancement support transport-independent and light-weight DTLS version 1.0 and 1.2. Datagram Transport Layer Security (DTLS) protocol is designed to construct “TLS over datagram” traffic that doesn't require or provide reliable or in-order delivery of data. DTLS is a datagram-compatible variant of TLS. The DTLS API provides communications privacy for datagram protocols that allow client/server applications to communicate in a way that is designed to prevent eavesdropping, tampering, or message forgery through SSLEngine. DTLS are the best solution for encrypting and transmitting real-time data. The use of the DTLS API in Java provides access to the application data in each DTLS message.

Published by: Rekha Kumawat

Author: Rekha Kumawat

Paper ID: V4I3-1988

Paper Status: published

Published: June 27, 2018

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Research Paper

The role of Artificial Intelligence (AI) in making accurate stock decisions in E-commerce industry

With accumulation and proliferation of large data, it is highly necessary to make some meaningful sense out of the data. Here is where Artificial Intelligence (AI) tools and algorithms play a major role. AI is highly expertise in handling the customer data and forecasting the purchase behavior of customers. This has brought out the biggest level of automation in the e-commerce industry. AI provide notification when a company has to re-order stock and assist in creating manufacturing schedule as per the variation in demand during the particular period of time accurately. The autonomous and data-driven supply chain has optimized logistics, manufacturing, warehousing and the last mile delivery. E-commerce giant like Amazon use leads to time and forecasting techniques to critically plan inventory orders. Machine learning system (MLS), a subset of AI solves the cognitive problems associated with human intelligence and helps to optimize logistic speed and quality. This paper discusses AI-based inventory management tools which are being utilized in the e-commerce industry. AI provides customers an enriched experience which helps to maximize profits.

Published by: Yashoda Kiran Lingam

Author: Yashoda Kiran Lingam

Paper ID: V4I3-1997

Paper Status: published

Published: June 27, 2018

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