Volume 12 | Issue 3 |

 Abstract

In this article, a new solar PV fed Dynamic Voltage Restorer (DVR) based on Trans-Z-source Inverter (Trans ZSI) is proposed to improve the power quality of ongrid Photovoltaic (PV) systems. DVR is a power electronic compensator using for injecting the desired voltage to the Point of Common Coupling (PCC) as per the voltage disturbance. In the proposed DVR, in place of traditional VSI, Trans ZSI with outstanding merits of buck/boost, a broader range of voltage boost gain, fewer passive components, and lower voltage stress, is put forth. For efficient detection, accurate voltage disturbances mitigation, and also lessening the injected voltage harmonics, a hybrid Unit Vector Template with Maximum Constant Boost Control (UVT-MCBC) method is proposed for Trans ZSIDVR. The performance of the proposed Trans ZSI-DVR with UVT-MCBC has been analyzed under severe sag, slight sag with harmonics, swell, and interruption. The comparative studies and simulation results have shown the effectiveness of the proposed Trans ZSI-DVR, as opposed to traditional ZSI-DVR and VSI-DVR. The Trans ZSI-DVR in the PV system has mitigated voltage sag/swell/interruption. It has also improved the power quality of both the injected voltage to the PCC and PV system's output voltage.

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 Keywords

PV, DVR, Trans ZSI, voltage sag, voltage transient, THD

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the development of an electric vehicle is a result of air pollution caused by automobiles. The goal of an electric automobile is to reduce pollution, but the major challenge with them is charging. The car should be charged at the same pace as it is filled with fuel in an electronic charging station. To enhance the charging speed of an electric car, a PID controller, a fuzzy logic controller, and a buck-boost controller are employed in this study. The electronic charging station must be able to charge a variety of electric vehicles with varying capacities in a short amount of time. The material in this article is about quick charging of an electric car that was developed in MATLAB. Best possible outcomes the circuit's performance can be improved with the aid of simulation. The best performance is shown in this article which is to use fuzzy logic which is supplied to 3 different chargers with their voltage levels such as 42v, 48v, 52v when charging EV batteries There is voltage difference, the switches are created are provided with a particular charger base this switching action can be controlled using the Fuzzy controller this result can be achieved using MATLAB simulation another advantage of this system that we have observed every results before the actual implementation of hardware and the purpose of this system we can store the charging and discharging of EV batteries and improves the maximum efficiency and life of EV batteries.

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Keywords-- AC/DC converter, DC/DC converter, Buck converter with PI Controlled, EV battery, Fuzzy Logic controller,

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In-service teacher education plays an important role in improving the quality of education by developing and supporting teacher competency continuously. This study aims to investigate the effectiveness of professional development programs for in-service teacher educators, explore the key components of teacher competency, and examine the significance of ongoing support and mentorship in enhancing teachers' effectiveness. Using a descriptive research methodology, data were collected from both primary and secondary sources. Primary data included data from various in-service teachers' program across the nation focusing more specifically in the state of Odisha, while secondary data comprised research articles, policies, and program documents. Analysis was conducted through qualitative content analysis. The findings reveal the effectiveness of various professional development programs, such as Faculty Development Programmes (FDPs) and online platforms like DIKSHA, NISHTHA, SWAYAM, and NCERT, in upskilling teacher educators. These programs focus on enhancing pedagogical content knowledge, access to research, and instructional quality. The availability of research, pedagogical content knowledge, professional development, and high-quality instruction are all important aspects of teacher competency. These elements have a big impact on how well students learn, highlighting how crucial it is for teachers to always be learning and adapting. Moreover, government programs like PSSCIVE, CIET, PARAKH, and SCERT--which offer continuous support and mentorship--are essential in promoting teacher efficacy. These programs provide educators with tools, orientation sessions, and training programs to help them acquire the skills and competences they need. The study's result emphasizes how crucial in-service teacher education is to advancing teacher competency and, eventually, enhancing student outcomes. Education professionals can establish inclusive and productive learning environments that cater to the different needs of students by giving priority to continuous support, mentorship, and professional development opportunities.

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 Keywords

Competency, Pedagogical Knowledge, FDP, In-service Teacher Educators

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A novel rapid, sensitive and reproducible mass compatible, ultra-performance liquid chromatographic method was developed for quantitative determination of Lamivudine in active pharmaceutical ingredients and its dosage forms. The synthetic nucleoside reverse transcriptase inhibitor analogues, Lamivudine form one of the fixed dosage combinations used in the effective management of HIV. It belongs to a group of anti-HIV medicines called non-nucleoside reverse transcriptase inhibitors (NNRTIs). The method is applicable to the quantification of related compounds of Lamivudine form one of the fixed dosage combinations. The developed HPLC method was further subjected to hydrolytic, oxidative, photolytic and thermal stress conditions. The performance of the method was validated according to the present ICH guidelines for specificity, limit of detection, limit of quantification, linearity, accuracy, precision, and ruggedness.

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Lamivudine, Force degradation studies, UV-visible spectroscopy method

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The current study's objective is to develop the closed-mold vacuum assisted resin transfer molding (VARTM) method which is able to produce high-performance materials and examine, analyze, and assess the mechanical and thermal characteristics of epoxy hybrid composites reinforced with banana fiber and raw jute. Banana fiber was hybridized with jute fiber to enhance the mechanical qualities. The jute and banana fibers were manufactured with a different weight ratio (50/50) and then mixed into the epoxy matrix using the molding procedure to form composites. The tensile and flexural tests were performed on hybrid composite materials. The final results are for Tensile Strength - 24.13, Flexural Strength - 61.70.

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VARTM, Composite Manufacturing, Banana fiber, Jute fiber, Epoxy, Hardener, Fabrication Techniques

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Inclusive education is an approach that promotes equal participation and opportunities for all students, regardless of their background, abilities, or disabilities. It aims to create a supportive learning environment where diverse learners can thrive together, fostering empathy, understanding, and respect for differences. This approach emphasizes adapting teaching methods, curriculum, and classroom environments to accommodate the needs of all students, ensuring that every learner has access to quality education and can reach their full potential.

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INCLUSION EDUCATION: AN OVERVIEW

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Taxes .can .reduce .our .annual .savings. .To .overcome .this, .tax .planning .is .a .legitimate .way .of .reducing .our .tax .liabilities .in .any .given .financial .year. .It .helps .us .to .utilize .the .tax .exemptions, .deductions, .& .benefits .offered .by .the .authorities .in .the .best .possible .way .to .minimize .our .liability. The .definition .of .tax .planning .is .quite .simple. .It .is .the .analysis .of .one's .financial .situation .from .the .tax .efficiency .point-of-view. This .paper .will .increase .the .understanding .of .individual .about.tax planning for the .F.Y.2023-24.

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Tax, .Advantage .of .Tax .Planning, .Tax .Strategies, .Long .Term .Short .term .Capital . ..Gain.

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This project presents novel ideas on boosting security and thus reducing the risk in Internet of Things (IoT) based on implementing Intrusion Detection Systems leveraging machine learning. The project details the designing of two IoT devices based on DHT11 sensors that are used to measure the temperature and humidity levels. These devices use datagram communication, for which data is transmitted through a Mosquitto broker using the MQTT protocol. In the server side, a machine learning model made out of Random Forest and Support Vector Machine (SVM) algorithms analyzes the information that passes it through for patterns hinting at intrusion or unusual behavior. Whenever alarm is identified from a possible security threat, notifications are there forwarded on the Telegram platform within the relevant authorities. This project integrates IoT, machine learning, and secured communications technologies together in order to enhance the robustness of connected environments that can very quickly detect threats and respond accordingly in a timely manner.

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 Keywords

Intrusion Detection, Feature Selection, Machine Learning , Random Forest Ensemble Approach ,Support Vector Machine.

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 Abstract

Kala Samekit Shiksha Ke Prayog Ka Janapad Pilibhit Ke Parishadiy Vidhalayon Ke Shikshako Ke Anubhav V Uram Ke Adhar Par Tulanatmak Adhyayan |

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Kala Samekit Shiksha Ke Prayog Ka Janapad Pilibhit Ke Parishadiy Vidhalayon Ke Shikshako Ke Anubhav V Uram Ke Adhar Par Tulanatmak Adhyayan |

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The rate of automation in European industry is increasing continuously. In production metrology, the trend is shifting from measurement laboratories towards integration of metrology into the production process. Increasing levels of automation and the current skills shortage are driving demand for autonomous production systems. In this project, a roughness measurement system was developed that is fully integrated into machine tools and enables fully automatic roughness measurement of part surfaces during the machining process. Using a skidless measurement system, it was possible to obtained measured roughness values comparable to those obtained in measuring rooms under optimal conditions. The present paper shows the development process of the prototype and provides an overview of different application scenarios for in situ measurement of machine tools. In situ roughness measurement has high potential in the future of metrology in industrial applications. Not only can surfaces be measured directly in the process, sub-processes can be triggered based on the measured values, allowing the production process to react flexibly to actual conditions. Potential improvements in metrology and significant optimizations of the entire production chain are highlighted in this paper.

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 Keywords

surface roughness; integrated metrology; machine tools; tactile measurement

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