A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement

A Novel, Intelligent control of a Unified Power Quality Conditioner (UPQC), coupled with a Photovoltaic (PV) system, is proposed in this work. It enhances the decarbonizes clean energy generation and maintains Power Quality (PQ) to the grid. In PV integrated UPQC, Crow Search Algorithm (CSA) assisted Perturb and Observation (P&O) Maximum Power Point Tracking (MPPT) technique. A d-q theory-based control is employed with the assistance of a Proportional Integral (PI) controller for controlling the working of UPQC and maintaining the power quality. The dynamic working of the PV-based UPQC is evaluated based on simulation outcomes attained from MATLAB

A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement

A Novel, Intelligent control of a Unified Power Quality Conditioner (UPQC), coupled with a Photovoltaic (PV) system, is proposed in this work. It enhances the decarbonizes clean energy generation and maintains Power Quality (PQ) to the grid. In PV integrated UPQC, Crow Search Algorithm (CSA) assisted Perturb and Observation (P&O) Maximum Power Point Tracking (MPPT) technique. A d-q theory-based control is employed with the assistance of a Proportional Integral (PI) controller for controlling the working of UPQC and maintaining the power quality. The dynamic working of the PV-based UPQC is evaluated based on simulation outcomes attained from MATLAB

A determinant criterion for stability analysis and design of linear discrete systems

Linearni vremenski nepromjenljivi diskretni sustavi (Linear Time Invariant Discrete Systems) mogu se opisati jednadžbama linearne razlike konstantnog koeficijenta. Te se jednadžbe mogu lako pretvoriti u funkciju složene varijable metodom z transforma. Dvije trokutaste matrice stvorene su pomoću jednadžbe karakteristika koeficijenata sustava zajedno s minimalnim pomakom koeficijenata bilo lijevo ili desno i metode eliminacije koeficijenata. Konstruirana je jedna kvadratna matrica dodavanjem dviju trokutastih matrica. Za predloženu metodu konstruiranja kvadratne matrice potrebno je manje aritmetičkih operacija poput pomicanja i eliminiranja koeficijenata u usporedbi s konstrukcijom kvadratne matrice metodom matrice Jury i Hurwitza. Ta se Kvadratna matrica koristi za testiranje dovoljnog uvjeta postupkom određivanja unutarnje determinante Jurya. Dalje se predlaže još jedan potreban uvjet uz Juryeve uvjete stabilnosti. Dodane su i ilustracije za prikaz primjene predložene scheme. Razvijen je i algoritam za pronalaženje konstrukcijskog parametra k-vrijednosti koja pomaže u konstrukciji stabilnog Linearnog vremenski nepromjenljivog diskretnog sustava.Linear time invariant discrete systems can be described by constant coefficient linear difference equations. These equations can be easily transformed into the function of the complex variable by the z transform method. Two triangular matrices are formed with the help of the coefficients of system characteristics equation along with the minimal shifting of coefficients either left or right and elimination of coefficient method. A single square matrix is constructed by adding the two triangular matrices. The proposed method of construction of square matrix consumes less arithmetic operations like shifting and eliminating of coefficients, when compared to the construction of Square matrix by Jury’s and Hurwitz matrix method. This Square matrix is used for testing the sufficient condition utilising Jury’s Inner determinant procedure. Further one more necessary condition is also suggested along with Jury’s conditions for stability. Illustrations are also included to show the applicability of the proposed scheme. Also an algorithm was developed for finding the design parameter k-value which helps to design a stable Linear Time Invariant Discrete System

Work Life Imbalance and Emotional Intelligence: a Major Role and Segment Among College Teachers

Purpose:   The purpose of this paper is to shed light on the elements that affect college instructors' worries about hierarchies. The measurable device utilized in this exploration is chi square and GARRETT positioning. The investigation came about that numerous educators feel that they will have peaceful work life and they will be able to manage work life if they are given proper awareness and training on handling Emotional Intelligence.   Theoretical Framework:  Emotional intelligence in teachers has been shown to influence their comfort level, self-efficacy, job happiness, and interpersonal interactions with pupils. Therefore, emotional intelligence has a direct impact on how pupils are taught and learn (Jennings & Greenberg, 2009).   Design/methodology/approach:   Data was Collected from 500 Respondents for this study using disproportionate stratified random sampling technique   Findings:  Analysis points that college teachers say EI “helps them to have a stress free work life and have proper balance if they are given awareness and training on Emotional Intelligence”.   Future Implications:  In order to ascertain the direct and indirect effects of stakeholder demands, awareness on the work life imbalance and training must be given in regular intervals, we first propose that future research make use of our framework and conduct research on teachers to train special children’s   Originality Value: The Research Focuses on how work life imbalance and Emotional Intelligence are the key factors among the college teachers. This research will be reference for how Emotional Intelligence can make teachers to balance their work lif

Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation

Internet of Things (IoT) and Mobile Edge Computing (MEC) technology acts as a significant part of daily lives to facilitate control and monitoring of objects to revolutionize the ways that human interacts with physical world. IoT system includes large volume of data with network connectivity, power, and storage resources to transform data into meaningful information. Blockchain has decentralized nature to provide useful mechanism for addressing IoT challenges. Blockchain is distributed ledger with fundamental attributes, namely recorded, transparent, and decentralized. Blockchain formed participants in distributed ledger to record the transactions and communicate with other through trustless method. Security is considered as the most valuable features of Blockchain. IoT and Blockchain are emerging ideas for creating the applications to share the intrinsic features. Several existing works has been developed for the integration of blockchain with IoT. But, Blockchain protocols in the state-of-the-art works with IoT failed to consider the computational loads, delays, and bandwidth overhead which lead to new set of problems. The review estimates main challenges in integration of Blockchain and IoT technologies to attain high-level solutions by addressing the shortcomings and limitations of IoT and Blockchain technologies

Comprehensive \u3ci\u3ein vitro\u3c/i\u3e and \u3ci\u3ein vivo\u3c/i\u3e evaluation of therapeutic potential of Bacopa-derived asiatic acid against a human oral pathogen \u3ci\u3eStreptococcus mutans\u3c/i\u3e

Dental caries is a common human oral disease worldwide, caused by an acid-producing bacteria Streptococcus mutans. The use of synthetic drugs and antibiotics to prevent dental caries has been increasing, but this can lead to severe side effects. To solve this issue, developing and developed countries have resorted to herbal medicines as an alternative to synthetic drugs for the treatment and prevention of dental caries. Therefore, there is an urgent need for plant-derived products to treat such diseases. Bacopa monnieri, a well-documented medicinal plant, contains 52 phytocompounds, including the pentacyclic triterpenoid metabolite known as asiatic acid (ASTA). Hence, this study aimed to demonstrate, for the first time, the antibacterial activity of phytocompound ASTA against S. mutans. The findings revealed that ASTA significantly inhibited the growth of S. mutans and the production of virulence factors such as acidurity, acidogenicity, and eDNA synthesis. Molecular docking analysis evaluated the potential activity of ASTA against S. mutans virulence genes, including VicR and GtfC. Furthermore, toxicity assessment of ASTA in human buccal epithelial cells was performed, and no morphological changes were observed. An in vivo analysis using Danio rerio (zebrafish) confirmed that the ASTA treatment significantly increased the survival rates of infected fish by hindering the intestinal colonization of S. mutans. Furthermore, the disease protection potential of ASTA against the pathognomonic symptom of S. mutans infection was proven by the histopathological examination of the gills, gut, and kidney. Overall, these findings suggest that ASTAmay be a promising therapeutic and alternative drug for the treatment and prevention of oral infection imposed by S. mutans

A Method to Optimize Geometric Errors of Machine Tool based on SNR Quality Loss Function and Correlation Analysis

Instead improving the accuracy of machine tool by increasing the precision of key components level blindly in the production process, the method of combination of SNR quality loss function and machine tool geometric error correlation analysis to optimize five-axis machine tool geometric errors will be adopted. Firstly, the homogeneous transformation matrix method will be used to build five-axis machine tool geometric error modeling. Secondly, the SNR quality loss function will be used for cost modeling. And then, machine tool accuracy optimal objective function will be established based on the correlation analysis. Finally, ISIGHT combined with MATLAB will be applied to optimize each error. The results show that this method is reasonable and appropriate to relax the range of tolerance values, so as to reduce the manufacturing cost of machine tools

Novel multifunctional of magnesium ions (Mg++) incorporated calcium phosphate nanostructures

Magnesium ions incorporated calcium phosphate was synthesized by wet chemical route and followed by microwave assisted method. XRD analysis was confirmed that the presence of calcium phosphate (hydroxyapatite). TEM analysis was exhibited rod-like morphology. XRF results were showed the percentage of calcium, phosphate, magnesium and oxygen. There was a slight blue shift observed in magnesium ions based samples. Higher magnesium (0.1 Mg-HAp) was revealed the greater discharging time with capacitance voltage (0.55 V). Magnesium based calcium phosphate was showed prolonged rate of drug release. At higher frequency, the Nyquist plot was showed the electrochemical behavior, however at lower frequency, revealed mass transfer process. Magnesium ions tailor the specific capacitance of calcium phosphate. Therefore, magnesium ions based phosphate samples could be an outstanding multifunctional candidate for drug release and supercapacitor applications