Volume 8 | Issue 5 |

 Abstract

Healthcare is an inevitable task to be done in humans daily life. Cardiovascular disease is a category for a range of diseases that are affecting heart and blood vessels. The early methods of forecasting the cardiovascular diseases helpful in making decisions about the changes to have occurred in high-risk patients which results in the reduction of risks. The health care industry contains medical data, therefore machine learning algorithms are required to make the decisions effectively in the prediction of heart diseases. Recently research has delved into uniting these techniques to provide hybrid machine learning algorithms. In the proposed research, data pre-processing uses techniques like the removal of noisy data, removal of missed data, filling default value if applicable and classification of attributes for prediction and decision making at different levels. The performance of the diagnosis model is obtained by using the methods like classification, accuracy, sensitivity analysis. This project proposes a prediction model to predict whether a people have any heart disease or not and to provide an diagnosis on that. This is done basically by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Gradient Boosting, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting cardiovascular disease

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 Keywords

Heart Disease, Heart Disease Prediction System using Machine Learning

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This Study investigates the impact CSR has on the financial performance of companies using annual data ranging from 2014 to 2017 in India. Correlation analysis and Regression analysis have been used in this study to find the relationship and the impact on the variables. The results reveal that CSR has a positive significant influence on Net profits of the company.

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 Keywords

CSR, Financial Performance, Company

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 Abstract

Coordination transition metal complexes of Co(II) and Zn(II) ions with Schiff base ligand formed by condensation reactions using 3,5-dichloro-2-hydroxyacetophenone and 4-amino benzamide. The synthesized Schiff base is bidentate (ON) donor ligand to the metal ions. Both the ligand and the metal complexes are characterized by the various physico- chemical methods such as elemental analysis, molar conductance, UV, IR, NMR, powder XRD and ESR spectra. The spectral studies reveals that the complexes obtained as mononuclear structure and are four-coordinated metals center moieties with square planar geometry. Synthesized compounds are screened for their anti-bacterial activity against Gram positive and Gram negative bacteria by the well diffusion method.

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 Keywords

3,5-dichloro-2-hydroxyacetophenone, Schiff base, Transition metal complexes, P-XRD, Antibacterial studies

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 Abstract

A field experiment was conducted during Navarai season from February to June, 2017 at Agronomy farm of Pandit Jawaharlal Nehru College of Agriculture and Research Institute Karaikal, Union Territory of Puducherry, India to study the crop weather relationships on yield of aerobic rice under coastal region. The treatment consisted of three different date of sowing by weekly interval (February 6th, February 13th and February 20th) with five different seed priming practices. The treatments were evaluated in factorial concept of RBD with three replication. The results indicated that with respect to date of sowing, seeds sown on 6th February produced significantly the highest grain yield (2591.5 kg ha-1). This was followed by 13th February and 20th February of 1977.7 and 1236.8 kg ha-1, respectively. Correlation studies showed that the total bright sunshine hours did not significantly influenced the grain yield. However the mean maximum temperature, mean minimum temperature, total rainfall and total evaporation had a significant effect on grain yield. Considering the overall life span, the Agrometeorological indices viz., total Relative Temperature Disparity and total Relative Humidity Disparity did not influence the grain yield significantly, whereas all other derived weather parameters had a significant effect on grain yield. Regarding stepwise regression equations between grain yield of rice and weather parameters revealed that mean maximum temperature, mean morning relative humidity, mean evening relative humidity, total rainfall, total sunshine hours and total evaporation contributed to an extent of 90.5 per cent for total life span. The agrometeorological indices contributed significantly to the extent of 97.8 and 98.5 per cent during reproductive phase and total lifespan, respectively. From the study proved that the sowing window February 6th to be more effective for realizing higher productivity during Navarai season under aerobic rice cultivation at the coastal deltaic region.

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 Keywords

Date of sowing, Aerobic rice, Direct weather parameters, Agrometeorological indices, Correlation and Regression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When we are using soil for any construction work , such as subgrade in pavement ,or a foundation in building ,then there arises a need that a soil is to be stable, means the soil should able to withstand the stresses coming on it. When the work is done on granular soil ( Garvel, sand or silt ,with little or no clay ) then there occurs some problems, Granular soils are usually those type of soil which have low density and they also don�t have sufficient strength.So to solve this problem , we are using the cement as a stabiliser , which when mixes with the soil in some definite proportions, then there is a considerable improvement in the properties of soil.

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 Keywords

Granular soil, cement, compressive strength, fineness, gradation, cement,w/c ratio.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The pace of progress keeps on being quick with digital channels continually developing in volume and quality. More individuals invest more energy online in Delhi consistently, and the digital tools and sites they use assume an ever-developing role in their lives. Accordingly, which pushes an organization to embrace digital marketing for their endurance in industry. As a result, with the made digital marketing methodologies customer satisfaction level is accepted to raise too and, it is thus, a marketing type which should be centred around precisely by brands or organizations. The broad objective of this study is to learn the impact of digital marketing on client satisfaction, Delhi/NCR. However, the current situation of economy in 2020, cannot be denied which is prevailing due to the coronavirus crisis. Thus, this paper explains its upcoming issues for the businesses and how we can bravely deal with the multifarious challenges posed by this present crisis. This is along these lines, on the grounds that the point isn't to sell in digital marketing but to keep in contact with potential clienteles by which the overall GDP could reach at least at the same erg that it was three months back.

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 Keywords

Digital Marketing, Growth, Social Media, Client Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In current scheme, user's data is completely stored in data servers. While storing the info in main server, users lose their right of control on data and face privacy leakage risk. Traditional privacy protection schemes usually support encryption technology. But these forms of methods cannot effectively resist attack within main server. So as to unravel this problem, we propose a framework which can take full advantage of information storage and also protect the privacy of information. We use Hash-Solomon code algorithm to divide data into different parts, so that these parts of data can be stored in local machine and main server and secondary server so as to guard privacy. To support computational intelligence, this algorithm can compute the distribution stored in main server, secondary server and native machine respectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Storage, Privacy, Hash-Solomon code

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automobiles are perhaps the domain that represents the 21st century. The vehicles play a major role in our day to day life for transportation. The term Cruise Control refers to the concept of assisting drivers in the task of longitudinal vehicle control to avoid any accident or collision. With the increase in the world population the need for automobiles as well as its usage daily has increased drastically. This leads to heavy traffic, rush, collisions, and accidents. The automobile black box is used to analyze the cause of vehicular accidents and prevent a loss of life and property from vehicle accidents. This Paper is based on the Project topic of Adaptive Cruise Control. In our proposed system, we tried to implement ACC using the less expensive devices, also increasing the ease to use it and adding a few other features in it. The project aims to build a Semi-Autonomous system; that assists the driver for the longitudinal control on their vehicle while driving by using the ultrasonic sensor (HCSR_04). An alert (led or buzzer) indication is given when the inter-vehicle gap approaches the safety limit. A switch is provided to ensure the semi-autonomous use of the vehicle. Also, it aims to use IoT to keep track of the distance readings, speed readings, and stability of the vehicle using the NodeMCU and ThnigSpeak platform. This system also uses the GPS (Neo-6m) and GSM (SIM 800A) to send a text message to a pre-defined number in case of detection of an accident.

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 Keywords

ACC, Ultrasonic sensor, Microcontroller, Internet of Thing (IoT), GPS module, GSM module, Opto-speed sensor, Black box, ThingSpeak.

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Lately, there's a fast improvement inside the sight and sound and system advances in PC period. Transmission of sight and sound information over the system drives the fundamental issues with security, protection and information size. Pictures are generally utilized and the significant issues are the manner by which to ensure the picture and furthermore decrease size of the picture so as to augment the system use. Different methods are there so as to make sure about the picture and to lessen the size of the picture. Security and protection aren't considered inside the previous pressure strategies. To give the protection and security, the encryption is applied additionally as pressure diminishes the data size. So that, to beat the issues in interactive media and system innovations, pressure is joined with encryption. So as to show signs of improvement organize usage, the scrambled pictures are packed. An effective picture Encryption Then Compression framework is structured. In proposed conspire a square scrambling based encryption calculation is utilized to encode the picture so as to get high security.

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 Keywords

- Encryption-then-Compression, Block scrambling encryption algorithm, Encryption, decryption, loss less Compression, decompression, security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this study, two conditions have been explained.Part A: Pandemic Impact on Global Pharma Supply Chain Part B: Coronised E-commerce in India

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 Keywords

Pandemic Economics

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Creative Commons Attribution 4.0 and The Open Definition