Volume 9 | Issue 6

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Cognition refers to "the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". The paper aims at developing a Cognitive game using unity game engine to test whether it is a good choice for 2D game development.

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Creative Commons Attribution 4.0 and The Open Definition

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cognition, game development, unity

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Water balance, Runoff, Evapotranspiration, Infiltration, Water requirement

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- Machine learning and artificial intelligence techniques are being used to solve many real world problems. These techniques are highly effective, minimal effort and saving huge amount of time. Now people are invested in stock market or share market for yielding huge amount of money. Stock market is association of buyers and sellers. But in stock market, any time the stock value will grow or down according to the economic trends. So these changes could affect your share value and some times that decreases your profit. So stock market prediction is very necessary for avoiding this loss. We will propose a system that predicts the stock market value based on social sentiments using machine learning. We will collect the tweets from twitter API and Social media data to perform sentiment analysis and at same time collect data from Social media . Then find the correlation of historical data and extracted twitter data. This relational value used to determine the predicted outcome. This prediction system could greatly help stock investors in taking desired decision which could affect the profit of stock.

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machine learning, sentiment analysis, twitter API, Social Media Data, stock market prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Women, Exploitation, Political participation, Election, Representation, Democracy

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: In the present study, the investigators intended to compare the job involvement of B.Ed. College teachers with respect to some demographic variables. Job involvement was treated as dependent variables. For the purpose of investigation, descriptive survey method was employed. The sample comprised of 300 B.Ed. college teacher educators working in colleges located in Kalyana Karntaka affiliated to Gulbarga University, Kalaburagi, A.K.S.W. University, Vijayapur and S.K.D. University, Bellary was selected by Random sampling technique. The result says that there is less Job involvement in Teacher educators.

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Key Words: Job involvement, Gender, Type of college, teaching Experience, Educational Qualifications

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Present study attempts to study the use of N-List and DOAJ e-Resources by users of Science College Nanded . Few enquiries were made to check the use of database i.e. e-journaks. Purpose of the study was to know usefulness, coverage of e-Journals and feedback of its users. Survey method was adopted to gather data and opinion of respondents. This study was limited to respondents of science field of science. In the study it was found that users are well aware about N-List database than the DOAJ and also they find N-List is more convenient for use. Coverage of N-List is wide than DOAJ. On the basis of the study few recommendations are suggested by the researchers which includes. There is a need to look in to the matter personally by the Heads, Librarian and professionals to promote use of these e-resources. Organize regular workshops to make effective awareness about DOAJ among the research scholars and students.

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Comparative study, N-List & DOAJ, Users, Science faculty, e-Resources

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Creative Commons Attribution 4.0 and The Open Definition

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Cadaba fruticosa; antibacterial; anti-Inflammatory

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After excessive needs for pavement maintenance, rehabilitation and the limitation of available fund it is require to do pavement distress analysis and pavement condition rating for flexible roads. Distress analysis and pavement condition rating is use for maintenance budget. It is commonly found that rate of wearing and tearing of flexible roads changes from good condition to sever condition within a decade of time. The study is carried out 25 (2 lanes) roads from the different location of Dhule and Malegaon cities. The lanes are surveyed to find out different distresses conditions based on Indian Road Congress (IRC) and WSDOT Guidelines. The importance of this study is also that, it will helpful to the agencies for use of most suitable method of PCI calculation. To compare both the methods the similarity study and correlation analysis is carried out. The study identified nine type of distresses from which best maintenance rehabilitation strategies are proposed. This study gives solution for urgent repairing and maintenance of damaged roads.

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analysis, Physical survey, Pavement condition index, Correlation analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial bee Colony(ABC) Algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Notice, Board, Digital, IoT Based

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Creative Commons Attribution 4.0 and The Open Definition

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Anglo Indian, bow barracks, colonial architecture, British raj, red bricks, urbanization, conservation, heritage structure.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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branding, internet branding, e-branding, flipkart,

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Creative Commons Attribution 4.0 and The Open Definition

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Drainage water management is the practice of using a water control structure in a main, sub main, or lateral drain to vary the depth of the drainage outlet. Drainage water management is the practice of raising the drainage outlet during times of the year when drainage is not needed or a higher water table could benefit the crop. Drainage water management allows producers to have more control over drainage. In this paper, we tried to build a project or system based on FPGA which is going to help drainage management for smart cities. As we have seen unless and otherwise drainage system is properly maintained the dream of Smart City remains as dream. Proposed system is prototype, implemented on Altera FPGA Development Board using VHDL.

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Drainage System, Smart City, FPGA, VHDL

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Creative Commons Attribution 4.0 and The Open Definition

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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.

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

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Creative Commons Attribution 4.0 and The Open Definition

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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.

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

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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.

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

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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.

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dataset, Machine learning-Classification method.

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Creative Commons Attribution 4.0 and The Open Definition

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

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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 .

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

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Creative Commons Attribution 4.0 and The Open Definition