Jabalpur Engineering College

This study addresses dust-induced efficiency degradation in solar photovoltaic panels by synthesizing high-performance superhydrophobic nanomaterial coatings. By optimizing a tetraethyl orthosilicate (TEOS) nanosilica sol with varying concentrations of hexadecyltrimethoxysilane (HDTMS) and polymethyl methacrylate (PMMA), we identified a superior formulation, coating C1 (1:2 ratio of TEOS to HDTMS). Quantitative analysis reveals that coating C1 achieves a remarkable water contact angle of 153°, maintaining high optical transparency and outstanding thermal stability up to 104 °C. Systematic field testing demonstrates that C1-coated solar cells delivered an exceptional 15.62

This paper aims to address an intrinsic relationship between some well-known contractions by proposing a novel metrizability method that converts some well-known contractions into a Banach contraction, preserving the completeness of the underlying metric space. Adding a new metric that does not change the original space shows that the Hardy-Rogers contractions can be observed as Banach contractions. This gives us a new way to look at these fixed point theorems. We substantiate the theoretical findings with appropriate examples that highlight the autonomy of contractive conditions, emphasizing the novelty of the proposed methodology. In addition, the convergence rate and factors of iterative methods are analyzed within the new metric space, accompanied by a numerical example. that illustrate the practical advantages of the methodology. We provide an application to identify the existence of a solution for the Lane-Emden Equation, which is relevant to galactic structure and polytropic star simulations, to support the presented results.

A substantial number of people use internet platforms for a variety of purposes, including business, official, and personal. On the one hand, using online platforms can improve work productivity and quality; on the other hand, they can radically alter the psyche of teens who are active in or are victims of cyberbullying. Teenagers' Physiological Orientation was explored in this article as a potential victim or offender of cyberbullying. For the investigation, a publicly available dataset2 was used, which included four sections: socio-demographic data, cyberbullying experience, cyberbullying location, and experience within the last 30 days. The dataset was analyzed using data visualization and a feature relevance analysis technique, and features were chosen that have a high potential for understanding changes in teenagers' psychology. Using the selected attributes, two datasets were created: the first includes orientations toward being a victim, while the second contains orientations toward being an offender. The dataset is imbalanced and has fewer occurrences, so the SMOTE algorithm is used to balance it. Furthermore, the decision rules were developed using a machine learning algorithm (C4.5). Two sets of decision rules have been created to simulate a teenager's orientation toward being a cyberbullying victim or offender. In order to improve the model's performance, a grid search method was introduced. After hyperparameter adjustment, the model achieves accuracy of up to 76 % for victim instances and 72 % for offender cases. Furthermore, precision, recall, and f-score findings have been measured, demonstrating that the serious effects of cyberbullying victim and offender are detected with greater accuracy. A new explanatory AI model has also been proposed to enhance prediction trust, transparency, and accountability in prediction. Based on the findings, it can be concluded that chat rooms, Instagram, and online gaming are the most common places for teenagers to experience cyberbullying, and that they occasionally become aggressive toward others. Furthermore, it has been noticed that spreading rumors and creating an internet website to make fun of others are common forms of bullying. Furthermore, 67 % of teenagers are never victims or offenders of bullying. Less than 3 % of teenagers are badly affected by cyberbullying, and less than 1 % are actively involved in it. Furthermore, socio-demographic variables such as age, gender, and class have little bearing on being a victim, however commonly used applications and smartphone usage length have a significant impact on being a victim and an offender, which is heavily influenced by the teenager's age, gender, and class.

The integration of renewable-based distributed units into distributed systems has been aided by recently developed technologies based on renewable energy, changes to utility infrastructure, and progressive government regulations. In this paper, an improved version of the golden jackal optimization (IGJO) is implemented to incorporate distributed generators (DGs) and capacitor banks (CBs) into the distribution system. The existing studies give only DG unit insertion, but in this work, simultaneous integration of different kinds of DG with a capacitor bank is used to analyze the impact. The main emphasis of this study is to minimize power loss along with the upgradation of the voltage profile. Improvement in voltage stability index and minimization of total voltage deviation (TVD) were also achieved by placing the DG and CB units in a suitable position. Load modeling is also considered here to validate the results. Seven types of loading, including constant power (half load and heavy load), constant current, constant impedance, residential, industrial, and commercial loads, are used to show the effect of integration of DG and capacitor bank into a 33-bus and 118-bus radial distribution system. Comparison of the proposed method with previous studies shows the better performance of the implemented method over other techniques.

Abstract Rare earth element Gadolinium (Gd) has been incorporated into the electroplating bath of permalloy Ni 80 Fe 20 deposited onto copper wire. Increasing the Gd concentration up to an optimum value of 0.08 mM reduced the surface roughness, crystallite size, and coercivity, leading to improved soft magnetic properties and enhanced magneto-impedance (MI) performance. The highest MI ratio of 303.6 % and magnetic-field sensitivity of 16.1 % / Oe were obtained at 100 kHz for the sample deposited with 0.08 mM Gd. All samples exhibit single peak MI vs field behaviour at lower frequencies due to dominant permeability due to domain wall motion. At frequencies above ∼ 1 MHz, single peak behaviour transits to double peak feature due to the damping of domain wall motion and thereby spin rotation contribution in presence of circumferential anisotropy being dominant. The enhancement in MI response is attributed to combined effect of Gd-induced grain refinement, improved surface roughness as well as increment of texture coefficient along (1 1 1) orientation in predominantly nickel based fcc alloy. Grain refinement leads to short-range ordering in the NiFe lattice, which reduce the effective magnetocrystalline anisotropy. Improved texture coefficient along (1 1 1) orientation in fcc Ni based alloy further strengthens the magnetic softness. All experimental MI data fitted well with an analytical model has established that Gd incorporation increases the contribution of domain-wall motion and reduces the dispersion of the circumferential anisotropy field. This results in substantial increase, approximately 41 % , in the maximum circumferential permeability of the permalloy films.