Volume 11 | Issue 4 |

 Abstract

This article explores the current state of education in Kargil (Ladakh), a remote and mountainous region in northern India. The article provides an overview of the challenges faced by the education system in Ladakh, including geographic isolation, inadequate infrastructure, and limited access to quality education. The article also discusses the efforts being made by the government and other stakeholders to improve education in Ladakh, including the provision of scholarships, teacher training programs, and the introduction of new technologies. The article highlights the impact of these initiatives on the education system in Ladakh and identifies areas for further improvement. The article concludes by discussing the potential of education to transform the lives of people in Ladakh and the need for continued investment in education to ensure a brighter future for the region.

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 Keywords

Education, Tribal, Ladakh, Kargil

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Blindness and low vision problems are increasing nowadays for both youth and aged society. Working members have to work outside in the day time to earn money for the family. So those people are forced to live alone and facing a difficulty because they cannot see things clearly. In this research, Convolutional Neural Networks (CNNs) for household objects finder is proposed. Raspberry Pi 3 is used to help to see objects and tell the type and location of the objects via voice. YOLO neuron network is selected because of the speed and resource images was prepared and fed into YOLO network as training inputs. YOLO is trained in coco database.. Trained YOLO can detect objects .Prototype of wearable device is built by using a webcam, headphone, push switch, battery and Raspberry Pi 3. Device will capture an image when a push switch is pressed and Raspberry Pi returns pre recorded voice results consist of objects types and their locations through headphone to users.This device can be used for finding various kinds of objects without more delay. Availabiliry of the components create this device easily available in the market and reduces its cost.

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 Keywords

Raspberry Pi,CNN,webcam , YOLO

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India, a developing nation, is rapidly embracing electric vehicle (EV) technologies and gradually phasing out fossil fuel-based vehicles as part of its efforts to combat climate change and increasing pollution in cities. In April 2017, the Government of India announced a plan to have all EVs on the market by 2030, and it has been following the Faster Adoption and Manufacturing of Electric Vehicles scheme to promote this transition. The electric charging infrastructure is a critical component of the electric mobility ecosystem, and it is crucial for the EV charging station market to keep up with the pace of EV adoption and growth. The limited range and speed of EVs are major concerns for customers, and the availability of charging stations and their network on the road is key to encouraging a shift from fossil fuel vehicles to EVs. As a result, the accessibility of a plug point for charging is an ongoing challenge faced by most EV manufacturers and customers.

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EV charger, Fast charging system, Adaptive system

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Green synthesis of iron nanoparticles being cost effective and eco-friendly treatment technique, is gaining importance nowadays. The aim of the present study is to prepare leaf extracts, precursor and synthesis of iron nanoparticles. The green synthesis was done by using the leaves extract of abutilon indicum and plumeria alba grinded with Ferric chloride separately to synthesis Fe nanoparticles. The structural properties of the synthesized nanoparticles were investigated through advanced technique like Fourier Transform Infrared Spectroscopy (FT-IR), X-Ray Diffraction (XRD) and Particle Size Analysis (PSA). The Iron nanoparticles were synthesized by co-precipitation method using Ferric chloride precursor. The FT-IR analysis shows the interaction between the capping agent and the synthesized iron nanoparticle. The PSA results shows the nanoparticles was monitored in the method of dynamic light scattering indicate the average size of iron nanoparticles that was calculated by 141 nm and 614.6 nm. The XRD spectral analysis reveals the synthesized particles have orthorhombic phase with particle size in the 56 nm and 42 nm.

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Plant extract, abutilon indicum, plumeria alba, ferric chloride, nanoparticle

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The primary goal of the research was to examine the value of VR and 3D in the edutainment process. This study also sought to examine how innovative teaching methods are being used in private universities. In this study, the technical feasibility, attitudes, and facilities were investigated using the case study technique in order to comprehend the current situation. In addition to school administrators' opinions, teaching professionals' viewpoints were also obtained through semi-structured interviews. In this study, an easy sampling strategy was used. Based on NAAC scores, the top three private universities in Tamil Nadu were chosen. This study's findings demonstrate how approaches and technology improvements affect school administrators' perceptions. Regarding the new technology added to their teaching methodology, the teaching professionals have a good perspective. A small percentage of teaching professionals are unsure about the facilities and infrastructure needed for the new teaching approaches. The facilities in private institutions have been observed, and the possibility of implementing the new teaching technique has been positively demonstrated.

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VR and 3D, Teaching strategy, Private University, Opinion, Flexibility

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The concept of Non-Conventional copyrights is and constantly evolving and dynamic area of Copyright law as well as intellectual property law which encompasses a wide range of creative works that might not fit exactly into the definition of the term work as specified in the act, but there are numerous traditional works and other emerging works which are presently not protected under the copyright act, 1957. With the advances in technology, the scope of non-conventional copyrights continues to expand and includes new forms of expression such as virtual reality, artificial intelligence, art forms like graffiti, street art, tattoos, engineered DN sequences, machine-generated works, etc. Though these works may not fall exactly under the definition of the work as provided in the act, they cannot be left alone, as it is very important to protect the non-conventional copyrights as it helps in fostering the national heritage, culture, contributes to the economy, encourages creativity in the market and many more. There are many ongoing debates and discussions pertaining to the eligibility of these non-conventional works and their protection under the copyright act. Like other forms of IP, it is important for the non-conventional works and effort of the authors in creating such work to be protected and commercialized. At the same time, non-conventional copyrights also offer opportunities for innovation and creativity, providing new avenues for artists, designers, and other creators to express themselves and reach audiences. As technology continues to evolve, the scope of non-conventional copyrights will likely continue to expand, presenting new legal and practical challenges for those working in the field of IP law. Ultimately, the development of effective legal frameworks for non-conventional copyrights will be crucial in promoting creativity and innovation in the digital age. This paper aims at analysing the copyrightability of the works of Graffiti and Structured DNA sequences.

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Copyright, Non-Conventional Copyrights, Graffiti, Structured DNA Sequences, Intellectual Property Law.

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This study's primary objective is to examine Tamil Nadu's language and media instructors' attitudes toward the use of 3D animation segments. This study effort also aims to compare the attitudes of the two distinct types of specialists of educators. To comprehend how the two distinct kinds of educators use each other, a comparative case study approach is used. In order to comprehend the similarities and variations, the qualitative research technique was used in this study. The two private colleges in and around Tamil Nadu were chosen for two instances. The in-depth analysis approach was used to comprehend the evolving views and driving forces behind the adoption of new technologies in the teaching and learning setting. A semi-structured interview technique was used to uncover the detailed solutions in order to comprehend the statistical significance. The results of this study unmistakably demonstrate the importance of the attitudes held by the two groups of instructors. Additionally, it demonstrates how the curriculum for the two distinct fields creates a need for novel teaching methodology. Because they have been exposed to new media utilization and media literacy, media educators have favorable views towards utilizing new media technology in their teaching and learning processes.

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Attitudes, 3D animation clips, language educators, media educator, Motivation

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As air quality is rapidly affecting people's health, the government must take required action to forecast it. The air quality index calculates the quality of the air. Other air pollutants include carbon dioxide, nitrogen dioxide, and carbon monoxide, which are emitted by the burning of natural gas, coal, and wood as well as by businesses, automobiles, and other human activity. Air pollution can result in fatal conditions like lung cancer, brain disease, and even demise. Machine learning techniques are used to calculate the air quality index. Although there have been many studies in this field, the conclusions are still not trustworthy. We have two options for completing the project. First, we can estimate the present or future air quality by knowing the precise values of SO2, Nox46, and RSPM49. Alternatively, we may use machine learning methods to compare the air quality. Air quality monitoring stations, two training and testing data sets, and the official website of the Central Pollution Control Board (CPCB) are all accessible. Decision trees, lasso regression, linear regression, K-NN regression, etc.

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Air pollution, Linear Regression, Decision tree, Lasso regression, K-NN Regression.

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ABSTRACT PROGRESS AND PERFORMANCE OF LABOUR IN INDIA *Dr.B.SREENIVASA REDDY Mobile No: 9381008210 Email Id: sinuptp123@gmail.com **Prof.G.Venkata Naidu Mobile No: 9490801113 Email Id: gvnsku1962@gmail.com Labour plays a major role in maintaining the productivity and management of the country. The main task of our government is to increase the contribution to national development which directly depends on the workers of the country. But there is a huge gap between the lifestyle of labours and capitalists. So to increase the status of labours our government came with various labours laws that provide them security, working conditions, employment. This paper finds that labours faced different problems for example low wages, high involvement of mediators and not proper implementation of labour laws so increase government involvement, enhance wages and control mediators and proper availability of employment. Key Words: Labour Force, Work Force, Labour Force Participation Rate *Academic Consultant, Department of Economics & Applied Economics, Sri Krishnadevaraya University, Ananthapuramu - 515 003. Andhra Pradesh. **Professor and Head of the Department Economics & Applied Economics, Sri Krishnadevaraya University, Ananthapuramu - 515 003. Andhra Pradesh.

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Labour Force, Work Force, Labour Force Participation Rate

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