Volume 10 | Issue 6 |

 Abstract

Recognition of human action is one of the active research areas in Machine Learning (ML) for numerous applications. In Human Activity Recognition, feature analysis is a critical area of research for improving the classifier. For this investigation, the UCI dataset is used. This field contains lots of Feature Selection (FS) algorithms. FS enhances model performance while reducing model complexity and dataset dimensionality. As a result, the best features are identified using FS algorithms that are carefully chosen. The three FS algorithms that were used for comparison were Recursive Feature Elimination (RFE), Least Absolute Shrinkage and Selection Operator (LASSO) and Random Forest (RF). Three specific classifiers are used to compare these FS techniques. Performance evaluation metrics properly test the algorithm's performance, revealing which is the greatest among the others. The investigation's outcomes are presented using the tools PYTHON and RSTUDIO.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification, Feature Selection, HAR, KNN, LASSO, Machine Learning, Multi-Layer Perceptron, Naive Bayes, Performance Evaluation, Random Forest, Recursive Feature Elimination, Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One new binuclear Cu(II) coordination compound [Cu2(Pymox)2](ClO4)2 (1) of pyrimidine derived Schiff base ligand [where, PymoxH = 3-[(4,6-dimethyl-pyrimidine-2-yl)-hydrazono]-butan- 2-one oxime] has been synthesized and characterized by elemental analyses, IR and single crystal X-ray crystallography. Around the Cu(II) centre, complex 1 exhibits a distorted square planar geometry. Herein, diverse weak interactions, such as anion???? and lone pair???? interactions, have been explored in this paper, leading to various supramolecular structures. The supramolecular framework in the crystal packing of the examined molecule is responsible for these forms of weak interactions.

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 Keywords

Cu(II)/ Pyrimidine ligand/ Single crystal X-ray crystallography/ Weak interactions.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to the effect of the “globalization” Indian people are changed. Changing in sense of socially and economically people are forced to move away from their roots of their motherland. Imperialism has paid great impact on almost all the Asian countries and created their cultural changes on all human beings. Globalization marked with great cultural changes in all kinds of class, caste, religion and take away to culture is as artificial construct only. Literature is a mirror of society has succeeded to bring out the dilemmatic diasporic sensibility of global citizen. There are number of writers belongs to diasopric literature, who represent their own people and culture being on the foreign land like U.S.A. Chitra Benarjee Divakaruni is also one of the writer. This paper undertakes on various aspects of the cross-cultural intersections and study emerging, potent identity of the self. A woman wants liberalism in both socio and economical conditions. It represents the positions of woman in India and foreign land, who has been longing for self identity. Indian society is not considered equal in comparison to the perceptions of women with experiences of their male counterparts. Chitra Benerjee Divakaruni presents Indian women’s immigration to the United States as a journey from oppressed state and miserable conditions to freedom and discovery of the self with the influence and inspiration of the western culture. As a promised land America seems to be unfold abundant possibilities to help and realize the dreams of all estranged women characters, who achieves their lost wish and status of freedom in society in male dominant society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Immigration, Identity and independence, Tradition and modernity, Women’s voce, Cultural intersections, Diasporic Identity.

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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

 Keywords

Machine Learning, Data Preprocessing, Logistic Regression, DT, RF.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mental stress is a major issue nowadays, especially among youngsters. The age that was considered once most carefree is now under a large amount of stress. Stress increase nowadays leads to many problems like depression, suicide, heart attack, and stroke. In this paper, we are calculating the mental stress of students one week before the exam and during the usage of the internet. Our objective is to analyze stress in the college students at different points in his life. The effect that exam pressure or recruitments stress has on the student which often goes unnoticed. We will perform an analysis on how these factors affect the mind of a student and will also correlate this stress with the time spent on the internet. In this paper, hybrid algorithm is proposed which combines Tf-Idf with Multinomial Naive Bayes and Tf-Idf with SVM. This can be reduced to an extent if such intimidating messages or comments are segregated. The process of classifying a sentence whether it is positive, negative or neutral is known as sentiment analysis. It helps in determining emotional tone behind a sentence. To classify these intimidating messages this paper proposes a Tf-Idf with Multinomial Naive Bayes and Tf-Idf with SVM approach which classifies reviews into positive or negative.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mental stress, SVM, Navie Bayes, Machine Learning

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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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-renewable energy integration, photovoltaic, battery electric vehicles, public grid, control charging system.

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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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Minoxidil, Aloe vera, HPMC, HPC, Carbopol-934, spread ability, skin permeation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, in order to optimize the dynamic performance Of the permanent magnet synchronous motor (pmsm) Speed regulation system, a nonlinear speed-control algorithm for The pmsm control systems using sliding-mode control (smc) is Developed. First, a sliding-mode control method based on a new Sliding-mode reaching law (nsmrl) is proposed. This nsmrl Includes the system state variable and the power term of sliding Surface function. In particular, the power term is bounded by the Absolute value of the switching function, so that the reaching law Can be expressed in two different forms during the reaching Process. This method can not only effectively suppresses the Inherent chattering, but also increases the velocity of the system State reaching to the sliding-mode surface. Based on this new Reaching law, a sliding-mode speed controller (smsc) of pmsm Is designed. Then, considering the large chattering phenomenon Caused by high switching gain, an improved anti-disturbance Sliding-mode speed controller(adsmsc) method, called Smsc+eso method, is developed. This method introduces an Extended state observer (eso) to observe the lumped disturbance And adds a feedforward compensation item based on the Observed disturbances to the smsc. Finally, simulation and experimental Results both show the validity of the proposed control Method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BLDC,SEPIC converter,3-level DCMLI,DC-BUS voltage selector

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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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CoDuSe exercise, Balance, core strengthening, dual tasking, sensory strategy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANFIS,PSO,MPPT,ARDUINO NANO (micro controller), SOLAR PANEL,BATTERY,RPS,LDR,MOTOR DRIVE,MOTOR

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Creative Commons Attribution 4.0 and The Open Definition