A Wavelet Analysis of Financial Market Performance in Major Markets
Authors: A. Sarveswara Reddy, Sathish
Abstract
The main objective of this analysis is to show the correlated between China, India, the US and the UK financial markets. A Wavelet Coherence is used to demonstrate the strength of relationships established across the Global Financial Meltdown (GFM) and during the COVID- 19 pandemic between selected markets. The date of study varies from August 2000 to June 2020. The study's outcome indicates that the frequency of the relationship between the markets chosen varies. In comparison with China, India's stock market was heavily integrated into developed world markets, especially during the GFM and COVID-19 periods. Related to GFM during the recent COVID-19 recession, the US market continues to dominate the Indian financial markets. Knowing the significance of the relationship established over time between markets gives investors the incentives to cautiously define their diversification of portfolios strategies.
A Secure Key Algorithm for Shar Ad-hoc Network Systems
Authors: Chetan Singh, Shushila Sonare
Abstract
Throughout the years, territory of Vehicular Specially appointed Network accomplished immense intrigue and research activities is additionally expanded because of the scope of arrangements it can give. Data wellbeing is considered as most basic issue in any system framework and it additionally the case in VANET. In VANETs remote discussion between autos along these lines secrecy, security, and validness properties which sway further assurance. This paper shows the security challenges and existing strings in the VANET framework In this paper, actualizing multi methods i.e AES and RSA calculation and examination their execution. MATLAB software is used to implement algorithm and check the communication authenticity. Simulation time, Buffer size, throughput etc parameters are calculated.
Optimal Capacitor Placement in Distribution Systems for Power Loss Reduction and Voltage Profile Improvement Using Modified Cuckoo Search Algorithm
Authors: Gurpreet Kaur, Shivani Sehgal Mehta, Dr. Chintu Rza
Abstract
This paper discusses a novel and effective method for placing capacitors in radial distribution networks that regulate the optimum locations and size of capacitor with goal of refining the voltage profile and decreasing power losses. The solution procedure has two parts: in part one, the loss sensitivity factors are utilised to select the candidate locations for the capacitor placement and in part two modified cuckoo search algorithm is used to guess the ideal size of capacitors at the optimum buses determined in part one. The chief benefit of the proposed method is that it does not necessitate any exterior control parameters. The additional advantage is that it grips the objective function and the constraints separately, evading the worry to regulate the barrier factors. The proposed procedure is applied to diverse standard test systems as 34-bus and 85-bus radial distribution systems. The solutions obtained by the proposed method are compared with other methods.
Driver Drowsiness Detection System By using Python
Authors: Mrs. M. Lavanya, Narapureddy Sravani, K. Pranaya Keerthana, V. S. V. Sarat Chandhra Pranit
Abstract
All over the world Drowsiness has been the significant cause of horrible accidents which is causing deaths and fatalities injuries. Day by Day fatal injuries numbers are increasing globally. From the past many years, researchers have concluded drivers with a lack of sleep and more tiredness which causes drowsiness of the driver. This paper shows a new experimental model is designed for detecting drowsiness of driver is presented to reduce accidents caused by this problem which increases transport safety. In this work, two ways are used to detect the drowsiness of a person effectively. First Driver face is captured and eye retina detection and facial feature extraction are done and blinking values are calculated then threshold values are set. The result from both methods is taken as input for taking the final decision and alerting the driver. Nowadays, road accidents have become one of the major issues. The major road accidents are caused due to drowsiness, drunken, and rash driving. This is the reason, every year the number of road accidents is increasing especially by cars. Due to drowsiness, drivers become less active while driving. This paper represents to build a system for Drowsiness Detection and Warning for automobile safety and accident prevention. We are using eye detection, drowsiness detection, and eye blinking pattern detection with the help of machine vision-based concepts. In order to detect fatigue or drowsiness, web-camera has been used which points directly towards the driver’s face and detects the eye movement of the driver.