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Research Paper

Using the GARCH framework to aid in decision making for businesses with Forex Exposures

The increased volatility that has been witnessed over the past few years has posed a problem to SMEs. The authors of this paper would wish to prepare a framework that can help solve this problem by giving SMEs a guideline for making payments and to hedge their exposures. Earlier literature has already covered the prediction of spot prices of the forex rates. The authors wish to use this for decision-making. The model used for this is the eGARCH model used on the R software. Using monthly and daily predictions the authors have developed a framework that can be used for decision making and hedging. This model is limited to working in normal times and not stressed situations.

Published by: Neil Vora, Niyati Shah, Pranav Vithlani, Pranav Sachdev, Prithwiraj Ghosh

Author: Neil Vora

Paper ID: V7I5-1323

Paper Status: published

Published: October 8, 2021

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Research Paper

Design and analysis of fifth wheel car parking mechanism

In earlier methods of parking, the time taken is 2 minutes, the driver needs to be more alert while parking in order to avoid hitting the car during the reverse motion. Therefore, to avoid these inconveniences, a concept of fifth wheel parking is made, where the total time will be 50 to 60 seconds. This parking can be done using an additional wheel fifth wheel. A screw is used to control the fifth wheel to land and lift. DC motor enables the forward and reverses motion for the screw. It also helps to know malfunctions during the landing or lifting of the wheel. This concept is mainly used for four-wheeler vehicles. This setup makes the vehicle turn parallel at a significant angle with reference to the front axle within a short period. The model enables the driver to park the vehicle between two vehicles, where the space is limited.

Published by: Vijay S.

Author: Vijay S.

Paper ID: V7I5-1320

Paper Status: published

Published: October 7, 2021

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Research Paper

Optimization of shelf space using OR techniques

This research paper focuses on shelf space optimization in supermarkets or retail stores. Mathematical techniques have been used in the context of operations research in order to arrive at a set of findings. Through this research paper, methods of product placement on rack and shelves used in stores has been explained. Optimization and linear programming methods have been used to find the optimal product placement. Binary integer programming has been used which uses only two decision variables to come to a conclusion whether to place a certain product in a certain rack/shelf or not. The literature review also highlights work done in the past by other researchers in this field. Consumer psychology has also been explored to a certain extent when it comes to purchasing a product. The logic behind product placement has also been highlighted. Through the findings of this paper, basic decision-making that goes behind product placement has been shown. Findings in the research paper are done on a small scale which is why several factors like shape, size, etc. of the product have been ignored.

Published by: Janhavi Nangrepatil, Harsh Mehta, Jay Garkhel, Harshit Shah, Harshit Nagpal

Author: Janhavi Nangrepatil

Paper ID: V7I5-1314

Paper Status: published

Published: October 6, 2021

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Research Paper

Ant Colony Optimization Algorithms for the Knapsack and traveling salesman problems

This paper is a simple tutorial for researchers interested in ant colony optimization (ACO) in general and max-min ant system (MMAS) in particular. The paper compares the differences in implementing these algorithms to solve sequencing and selection problems. For selection problems, we use the famous knapsack problem (KP) to demonstrate how MMAS can be used, whereas, for the sequencing problem, we use the famous traveling salesman problem (TSP). Results from the literature show how the MMAS algorithm can outperform other meta-heuristics in solving these two types of problems.

Published by: Sammy Ibrahim

Author: Sammy Ibrahim

Paper ID: V7I5-1315

Paper Status: published

Published: October 6, 2021

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Others

Recipient based malicious discovery for overloaded Wireless Networks based on recipients

We remember utility maximization in networks the place the sources do not employ go with the flow manage and may just accordingly overload the group. Inside the absence of go-with-flow manipulation on the sources, some packets will inevitably have got to be dropped when the neighborhood is in overload. To that end, we first advance a disbursed, threshold situated packet-shedding protection that maximizes the weighted sum throughput. Subsequently, we don't forget utility maximization and strengthen a receiver-headquartered waft manipulate scheme that, when combined with threshold-situated packet shedding, achieves the best utility. The glide manipulation scheme creates digital queues on the receivers as a push-back mechanism to optimize the number of talents dropped at the destinations by means of again-strain routing. A wi-fi sensor neighborhood can get separated into a few associated add-ons due to the failure of some of its nodes, which is known as a cut-down. In this article, we recollect the mission of detecting cuts with the aid of the remaining nodes of a wi-fi sensor community. We suggest an algorithm that allows for (i) each and every node to realize when the connectivity to a specially detailed node has been misplaced, and (ii) a number of nodes (that are connected to the targeted node after the scale down) to understand the incidence of the cut. The algorithm is allotted and asynchronous: each node desires to hold up a correspondence with excellent those nodes which will also be inside its verbal trade range. The algorithm is established on the iterative computation of a fictitious electrical knowledge of the nodes.

Published by: M. Harika, Jasmine Sabeena

Author: M. Harika

Paper ID: V7I5-1309

Paper Status: published

Published: October 6, 2021

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Research Paper

Novel Approach of Energy efficient Massive MIMO Communication by optimized Clustering in 5G

In general, network plays a vital role in tranferring the information from one node to other. Various techniques are developing to convey the data efficiently. Additionally, in today’s era; less energy utilization, high throughput and serving numerous users at a time are the essential requirements of wireless communication system. So, these requirements can be fulfilled with the help of Massive Multiple-Input Multiple-Output (MIMO) technology to some extent where in the same time-frequency resources; many users can be served with a Base Station (BS) equipped with very large number of antennas. Hence, it is a favourable technology for next generations of wireless systems such as in 5th generation. To communicate inside the large network, it is divided into clusters in which cluster head to be chosen and energy is optimized to some extent using Bacterium forging optimization technique.

Published by: Sweety Sharma

Author: Sweety Sharma

Paper ID: V7I5-1310

Paper Status: published

Published: October 5, 2021

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