Volume 9 | Issue 6 |

 Abstract

A speech is a verbal action that includes expressing feelings through a person's words and sentences. People use different languages to express their emotions. A person has several emotions in his speech. He tries to tell them while speaking in the form of a speech. We took the emotions into the light: angry, sad, happy, disgust, neutral, surprise, angry, and fear. This paper is about recognizing the emotions of a person from a speech. To identify emotions, We used machine learning algorithms. We considered the classifiers to include random forest, extra trees, gradient boosting, decision tree, light gradient boosting classifiers. We took some datasets, trained them using the classifiers mentioned above, and got the results.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech, Emotion Recognition, Mel Spectrogram, MFCC, Multi Layer Perceptron Classifier, Random Forest Classifier, Decision Tree Classifier, Light Gradient Boosting Classifier, Extra Trees Classifier.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ride sharing services conveniently allows the drivers to share short to long distances trips with other riders, contributing to the benefits of travel cost, reducing traffic congestion and climate change mitigations. The existing ridesharing services depends on the centralized trust based system for the regulation of the ride set up, fare calculation, tracking, cancellation etc. These central third party authorities control and maintain data about the users, raising the issue about the data reliability and service policies. In case, this centralized based system make them subject to single point of failure and privacy disclosure concerns. Besides they demand high fees for providing the services. Blockchain based ridesharing gives us a chance to shift from the traditional centralized platforms to the decentralized ones. This work explores smart contracts to build and deploy the functionalities such as create ride, deposit transfer, cancel and complete ride method for our decentralized ride sharing application. The work also studies on how to automate the ridesharing service by using the blockchain and smart contract to harvest the benefits of decentralized collaboration and blockchain perspectives.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Decentralize Application, Smart Contracts, Ridesharing, Innovation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The usage of waste plastic in concrete paver block is partial solution to the environmental and ecological problems associated with it. The aim of this research is to study the uses of plastic waste as a binding material in pave block casting. In this project, the difference mix proportion of milk packet waste was used to replace cement in paver block to obtain desired result. In 21th century over 300 million tons of plastic produced worldwide each year. Hence this type of study is required to reduce the plastic waste in useful way. Another aim is achieved by this research to reduce the cost of paver block when compare that of concrete paver block. For the test, paver block is prepared and their compressive strength is tested.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

compressive strength, waste plastic, LPDE (Low density poly ethylene), paver block, ecological problems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Advances in animal health monitoring algorithms using machine learning have led to the rapid development of machine learning applications to develop behavioural and physiological monitoring systems, such as ML-based animal health monitoring systems. Today, farm animals grow around the world, and their health functions need to be monitored. In this document, a method for animal surveillance using machine learning models to continuously verify the vital signs of each animal and detect biological changes is proposed. In this model, important data is collected through IoT devices, and data analysis is performed through machine learning methods to detect possible risks of animal physiological changes. The experimental results show that the proposed model has sufficient efficiency and precision to detect animal conditions. The support vector machine achieves an accuracy of more than 90%, which is a promising result for our purposes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dataset, Machine learning-Classification method.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, COVID Cough, Cough Detection, Lung Disorders, Cough Sound Analysis, ML for audio analysis, ML for COVID-19 detection, ML for cough detection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to the Studies performed, the combinatorial testing (CT) is an effective approach for detecting faults in the software systems. Combinatorial testing points to identifying faults that arise due to the interaction of values of a small number of inputs. CT technique considerably reduces the testing cost and increases the software system quality. CT also known as t-way testing, reduces the size of the test set by selecting a minimal set of test cases that cover all the viable t-way tuples. An optimal value of t (degree of interaction) for t-way testing for the system would maximize fault detection count in a minimal number of test cases. However, identifying the optimal value of t-way testing for the system remains an open issue. An analysis on different types of combinatorial testing techniques is carried out and a case study on identifying the interaction that exists in the source code, which reduces the count of interactions to be tested using dd path and data flow techniques are discussed. The experimental result indicates that the proposed approach remarkably reduces the count of interactions to be tested without the loss of fault detection capability. The approach can be extended to automate and develop a tool to support the proposed approach .

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Combinatorial testing, t-way testing, Interaction faults, Data flow techniques, DD path graph, Interaction testing.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Entrepreneurship is considered to be the focal point in the process of economic development. Entrepreneurship is the creation or extraction of value. Entrepreneur who contribute towards the balanced development of a country by optimum use of its resources. Entrepreneurs are the people who create new business, which help to create jobs for people. They help in intensifying competition with the help of technology they master in increasing productivity and thus contributing in the development of the country and in the state, followed by economic growth. Entrepreneurship is good for economic growth and they convert the ideal resources like land, labour and capital into national income and wealth in the form of goods and services. They help to increase net national product and per capita income not only in the state but also in the country. The industrialization of a country and its space of economic development depends on the entrepreneurs. A country maybe inherited with plenty of natural resources, but its economic development cannot be possible in the absence of efficient entrepreneurs. An attempt has been made in this paper to analyze the importance of entrepreneurship, role of entrepreneurs in economic development, government initiation to develop entrepreneurs not only in India and in the state, measures to improve entrepreneurship, the growth rate of entrepreneurship in India and conclusions are discussed in this paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

entrepreneurship, economic development, industrialization.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Development of the composites with natural fibers and fillers as a sustainable alternative material for some engineering applications, This paper discusses with different length fiber of bamboo (5,10,15mm) with epoxy resin. The combination of 15%,30% and 45% with weight ration of epoxy resin and bamboo taken into mould which is created by combination of wood and metal for fix size . Properties of Composite made of different composition tetes flexural testing , Impact testing and hardness-testing machine.it is observed that some properties increase and for some fiber length and weight ration effect of length show the maximum variation for the performance of weight. This composite has vast application in boat, cycle and aero industry. The results were studied and compared with the conventional materials and it process. It was observed that the material developed can be used in structural applications with strong dependence on its mechanical properties.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Epoxy resin, hardener, flexural test, Impact test, Hardness test

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the criteria to measure the student performance is checking his regularity. Normally in schools and colleges attendance is marked by calling their names or register numbers and marking the attendance in register book. In laboratories log book is maintained to track the students and utilization of laboratory components. In both the cases it is time consuming and requires more paper work. Therefore institutes started using student attendance marking systems based on wireless technologies or biometric information such as finger print reading; face recognition along with RFID tags. In the present situation created by Covid-19 pandemic, the thermal screening is also very important to allow the student to attend the class. We propose an idea where along with face recognition temperature screening is also added to the attendance marking system. This system is designed using ultrasonic sensors, IR temperature sensor, camera module which is interfaced with Arduino. In this way, attendance can be marked automatically and at the same time system can scan individual student to identify potential patients of Covid-19.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Jhulelal Institute Of Technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Energy demand management, also known as demand- side management (DSM) or demand-side response (DSR) is the modification of consumer Demand of electrical power

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

8668969875

  License

Creative Commons Attribution 4.0 and The Open Definition