In this article, a new sun-oriented PV took care of Dynamic Voltage Restorer (DVR) in view of Trans-Z-source Inverter (TransZSI) is proposed to further develop the power nature of on-network Photovoltaic (PV) frameworks. DVR is a power electronic compensator utilizing for infusing the ideal voltage to the Point of Common Coupling (PCC) according to the voltage unsettling influence. In the proposed DVR, instead of customary VSI, TransZSI with exceptional benefits of buck/help, a more extensive scope of voltage support gain, less uninvolved parts, and lower voltage stress, is advanced. For proficient recognition, exact voltage unsettling influences moderation, and furthermore decreasing the infused voltage sounds, a half breed Unit Vector Layout with Maximum Consistent Lift Control (UVT-MCBC) strategy is proposed for TransZSI-DVR. The presentation of the proposed TransZSI-DVR with UVT-MCBC has been dissected under extreme hang, slight list with sounds, swell, and interference. The relative investigations and re-enactment results have shown the adequacy of the proposed TransZSI-DVR, instead of conventional ZSI-DVR and VSI-DVR. The TransZSI-DVR in the PV framework has moderated voltage hang/expand/interference. It has additionally further developed the power nature of both the infused voltage to the PCC and PV framework's result voltage.

The outbreak of COVID-19 has caused an unprecedented shock to the Indian economy. In the backdrop of the prevailing pandemic, this paper considers five Asian countries’ currency exchange values and analyses spillover effect of price and volatility against USD and Indian stock market. The duration of the study is for seven years starting from 2016 to 2022; the tool used is bi-variate asymmetric BEKK-GARCH model. The mean, volatility and shock spillover from the currency to the capital markets were studied. Empirical results reveal that there majorly exists a bidirectional spillover between the two markets. It is observed that relation between variance spread from capital market and foreign exchange is not symmetric. This indicates that there was higher volatility caused due to negative shocks when compared to positive shocks. High volatility was witnessed on spillovers as a result of the prevailing pandemic, this reflects that the tentative ‘contagion’ effect that enhances the volatility and intensifies the effect on the financial market.

In the current work, the CAD model of piston has been developed by using ANSYS design modeler. The model has been simulated using ANSYS software on steady state thermal and static structural domain 15.0 workbench in order to observe various parameters effecting the temperature distribution between different thickness of thermal barrier coating. Four types of configurations of coating thickness were used i.e. 0.5, 0.7, 0.9, 1.2 mm. An optimized model of piston has been developed as stated configurations of coated piston. The simulations have been performed at a standard temperature that is the temperature generated during working of internal combustion engine. The simulation of the optimized model gives lower value of temperature distribution, thermal stress and deformation. The results are validated with reported existing previous work. The configuration of thickness between 0.7 to 0.9 of thermal barrier coating coated with sodium stannate material exhibits higher temperature distribution compared to titanium dioxide, zirconium and Ai - Si.

The aim of this paper is to introduce sg*closed set in a Soft topological space and to study some of its properties. Then sg* continuous mapping and irresolute mapping are introduced and some of its properties are studied. The concept sg* open, sg* closed mappings and sg*homeomorphism are introduced and their properties are studied.

This paper focusing on the comparison of total harmonics distortion (THD) of the output voltage is minimized by the help of a cascade multilevel inverter with reduced number of switches with un-equal DC sources using the conventional PWM techniques and modified SHE PWM using particle swarm optimization (PSO) algorithm. To address the issues of the multilevel inverters with better performance and efficiency there has been increased advancements with level shift PWM technique, phase shift PWM, POD PWM, APOD PWM and NLC PWM. The paper deals with the analysis of some such advancements like particle swarm optimization techniques and is contrasted to pulse width modulation technique in terms of total harmonic reduction, feasibility, switching pattern of PWM techniques and efficiency. Due to the conventional PWM techniques the complexity of the increased number of elements and harmonics can be reduced with the particle swarm optimization technique and can also determine the optimized switching angles in reducing the selected harmonics. The simulations of the analysis are carried out in the Matlab and the same are presented in the paper which are indeed proved to be better for PSO in contrast to conventional PWM techniques.

Article 25 of the Constitution of India guarantees ‘Freedom of conscience and free profession, practice and propagation of religion’. Some members of the Constituent assembly were concerned that the right to propagate would facilitate forced conversions, and proposed amendments that would either remove the right to propagate altogether or limited the right to practice religion to the private domain. Others argued that forced conversions did not come within the ambit of this right; further, free propagation would also lead to public awareness about different religions, thereby promoting understanding and peace. These amendments to remove propagation of religion were rejected. Seeing increasing number of cases of unlawful conversion, it is very much obvious that the fear of those members of Constituent Assembly has become alive. The term ‘love-jihad’ has been the talk of the town recently. Referring to increased cases of love-jihad, the State Government of UP and MP enacted anti-conversion laws. The paper discusses the anti-conversion laws of different states. Validity of anti-conversion laws has been checked on the parameter of the Constitution. The paper draws important conclusion and suggestions for balance between freedom of religion and enactment of anti-conversion law.

The entertainment and theatre industry has made a big revolution in our world. People are getting lost in the reel world rather than staying in the real world. They are adapting to the visualized characters and their traits in filmed videos and are becoming less tolerant and more violent. The newer generation is highly impacted by the ill-mannered and unsubstantial figures that reel life actors and producers followed. World-wide changes occurred due to its impacts and now the industry has changed its meanings and definitions. A lot of content, stories, mishaps, love, lust, complications, violence, brutality, stunts, actions and nudity came in it. It has started misleading people to change their lifestyles. From this project, we will try to understand user reviews and their comments to classify them as negative or positive. We will conclude which movie is wrong for viewing and which is not, using deep learning with RNN.

Social media sharing websites allow users to annotate images with free tags, which significantly contribute to the development of web image retrieval. Tag-based image search is an important method to find images shared by users in social networks. However, how to make the top ranked result relevant and with diversity is challenging. In this paper, we propose a topic diverse ranking approach for tag-based image retrieval with the consideration of promoting topic coverage performance. First, we construct a tag graph based on the similarity between each tag. Then community detection is conducted to mine the topic community of each tag. After that, inter-community and intra-community ranking are introduced to obtain the final retrieved results. In the inter-community ranking process, an adaptive random walk model is employed to rank the community based on the multi-information of each topic community. Besides, we build an inverted index structure for images to accelerate the searching process. Experimental results on Flickr dataset and NUS-Wide datasets show the effectiveness of the proposed approach.

Recent technological advancements like electric vehicles are vying for attention. Fewer nursery outflows, fuel reserve cash, and convenience are a few positive aspects it offers. Recent efforts to stop the introduction of greenhouse gases that cause global warming and to conserve petroleum products, whose value is rising, have accelerated the development of sustainable power offices. Additionally, photovoltaic system prices are rapidly falling. Therefore, it is agreed that photovoltaic energy will become less expensive in the future. This concept presents a sustainable power source for an EV charging station. It also provides chances for the provision of electric power from environmentally friendly sources of electric vehicle charging stations. The power is then utilised to charge electric automobiles. An introduction to energy management and management techniques for the power supply of charging stations for electric vehicles is also provided. In order to exchange energy from fuel and reduce pollution from carbon emissions, wind turbines and solar photovoltaic arrays are used in combination.