Volume 10 | Issue 6 |

 Abstract

COVID-19 began in China in December 2019. As of January 2021, over a hundred million instances had been reported worldwide, leaving a deep socio-economic impact globally. Current investigation studies determined that artificial intelligence (AI) can play a key role in reducing the effect of the virus spread. The prediction of COVID-19 incidence in different countries and territories is important because it serves as a guide for governments, healthcare providers, and the general public in developing management strategies to battle the disease. The prediction proved beneficial in the early months of 2020 to alert nations and territories in danger of an outbreak, allowing them to take preventative measures. Despite the fact that the COVID-19 outbreak has expanded to practically every location on the planet, the prediction has value in terms of monitoring the intensity of the spread and recovery, as well as determining the likelihood of a sequel or tertiary epidemic. COVID-19, like influenza, could become a seasonal or recurring epidemic in the future. COVID-19 activity must so be predicted and monitored now and in the future.

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 Keywords

Machine learning, Cloud computing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Growing population in metro towns is leading to huge vehicle density, the problems for car parking has become an unending question. Centralized car parking systems have been set up to avoid roadside parking and other related traffic problems.In many cities, car drivers look for a parking slot during rush hours or during traffic jams. This app presence an efficient method to check the availability of the parking slot and to reserve a slot.Existing work will focus solely on parking slot availability. However in this fast paced world drivers cannot confirm whether a parking slot is available as per the demand.To conquer this disadvantage, clever parking with reservation cell primarily based totally surroundings is proposed. This will make it easier for motorists to park their vehicles and avoid traffic jams. Drivers can provoke the request the usage of the reservation app on Android mobile to decide the provision of a parking slot.The driver can reserve the slot through the online payment system if the slot is available. The proposed system also allows drivers to cancel a reserved parking slot. The amount will be refunded after cancellation charges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parking Slot, Traffic Congestion, Vehicles, Reservation Slot

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The objectives of this project are assessment between ETAB software and manually designs. The design includes load calculations and analyzing the whole structure by ETAB. The design methods used in ETAB analysis are Limit State Design conforming to Indian Standard Code of Practice. These involve ETAB Modelling, Study the members due to the effect of Wind (WL) & Seismic load (SL) & compare them for a 30 m height Building with Cement Concrete, Rebar & Steel construction. The proposal structure is a G+10 storied building with 3.00 m as the height to each floor. The overall plan dimension of the building is 21.50 m x 14.5m.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multi-storeyed building, wind effect, seismic effect, manually calculation, Steel and cement concrete composite structure and ETAB.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Different epidemiological studies have shown that type 2 diabetes is associated with a 2-to-3-fold increased risk for sudden cardiac death. This system proposes a new scheme to detect the possibilities for the cardiac arrest based on the diabetic patients socioeconomic profile and their activities. The algorithm analyses to find a subset of instances that are the best fit and based on that is able to predict the outcome. Initially user should register in this application with basic personnel details. After completion of successful registration, user should login into this application with registered user name and password. Login authenticated users will get the home page to enter their health related details to predicting the risk factor level for cardiac arrest or heart related problems. Age, Gender, Smoking habit, Obesity, Alcohol intake, High salt diet, High saturated fat diet, Physical activity with exercise detail, Sedentary life style, Bad cholesterol, Blood pressure, Blood sugar and Heart rate are the required data to predict the risk factor for the cardiac arrest using rule mining. This project is to be developed using Python with Scikit-learn as front end and MySQL as back end. Scikit-learn machine learning library for Python.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetic to Cardiac, Rule based classification, Risk factor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

University attendance is usually done on paper, which might lead to mistakes. Manually taking attendance takes longer. In the past we were using methods such as roll number calling and circulating attendance sheets to the students which used to cause some issues such as proxy attendance and it used to take so much of time and effort. So, to make this easier, In this project, we used the Raspberry Pi to create an Attendance System.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Attendance, Face Recognition, Raspberry Pi, OpenCV.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper describes the design and implementation of overload protection for DC motor speed control application based on Artificial Intelligence (AI). A replica of DC motor hardware was modeled for simulation. Two neural network models were designed under no load and rated torque conditions to predict the output voltage to be applied for the given DC motor to achieve desired setpoint speed. From the output of a Proportional Integral (PI) controller the Neural network model will predict the voltage to be applied and a comparator will determine whether the voltage that has to be applied for the current load exceeds than that for the rated torque of the DC motor. The outcome from the comparison is the safety for the equipment by not exceeding rated current value and thereby reduce the thermal degradation of motor windings. A PI controller with delimiter can limit the output of the PI controller and thereby protect the motor windings from higher voltages, still, the windings get degraded when the motor run under overload conditions with lower setpoint speed for longer period. Simulation and real-time experiments along with the results are presented to demonstrate the reliability of the proposed control method over the traditional PI controller in DC motor speed control applications.

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OVERLOAD PROTECTION USING ARTIFICAL INTELLIGENCE FOR DC MOTORS

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 Abstract

Ankylosing spondylitis (AS), a frequent kind of spondyloarthropathy, is a chronic inflammatory autoimmune disease that mostly affects the joints of the spine, producing severe, persistent pain and, in severe cases, spine fusion. In the recent decade, significant progress has been made in terms of pathophysiology and therapy. Innate cytokines and immune cells have been studied. Human leukocyte antigen (HLA)B27 and the interleukin 23/17 axis are thought to be important in the pathophysiology of AS. The pathophysiology of AS, on the other hand, is unknown. The present study looked at the origin and pathophysiology of AS, as well as how it affects people. cytokine pathways and genome-wide association studies The present pharmacological and surgical landscape was also described in this study. Treatment will be followed by a discussion of prospective future therapy. Nonsteroidal anti-inflammatory drugs (NSAIDs) are currently the first-line drug treatment for inflammatory symptoms. Treatment with NSAIDs, on the other hand, has only a symptomatic effect and is unlikely to change the course of the disease. course. Second-line therapies, such as corticosteroids and other disease-modifying antirheumatic medications, are used for symptoms that are resistant to NSAIDs, although they are of little efficacy. Emerging biological treatments are aimed at the inflammatory processes that cause AS, and hence have the potential to improve the condition. In addition to symptom alleviation, the illness process is aided

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 Keywords

Ankylosing spondylitis, HLA B-27, NSAID"S, Corticosteroid's, Thoracolumbar kyphosis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Efficient Wireless Fog Networks Management by Software Defined Networking

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Creative Commons Attribution 4.0 and The Open Definition

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The Constitution of India has envisaged three different organs assigning them with their respective roles. It is true that due to change in the society the role of Judiciary has marked significant change from performing its traditional function to a more participatory role thereby catering the needs of the society. The paper attempts to analyse various basic principles which outlines the Indian Constitution i.e. Rule of Law and Separation of Power and the impact of the newly assumed creative role of the Judiciary on these principles. Further, the paper also analyses the impact of the Judicial Activism. And whether Judicial Activism has turned into Judicial Overreach?

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Judicial Activism, Judicial Overreach

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of this paper is to examine the impact of total quality management (TQM) practices on employees' work?related attitudes, such as job involvement, job satisfaction, career satisfaction, and organizational commitment. The results indicate that training and education have a significant positive effect on job involvement, job satisfaction, and organizational commitment. Empowerment and team work significantly enhance job involvement, job satisfaction, career satisfaction, and organizational commitment. Continuous improvement and problem prevention significantly enhance job satisfaction and organizational commitment. Customer focus does not contribute to job involvement, job satisfaction, career satisfaction, or organizational commitment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TQM Practices, Work related attitudes, Impact of TQM, Criteria, Methodology, Job Satisfaction, Career Satisfaction, Job Involvement, Discussion

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Creative Commons Attribution 4.0 and The Open Definition