Volume 11 | Issue 9 |

 Abstract

As a result of the growing amount of waste that people are producing every minute, the world's growing garbage problem poses major hazards to human life. Only in India, almost 0.2 million tons of trash are produced each day. Due to India's lack of a widespread separation mechanism, the majority of rubbish cannot be rectified with a viable solution. In certain cities, only rage pickers can separate rubbish, but they can't do it completely. As only 30-40% garbage is separated daily. Because some wastes, such as dangerous chemical waste, medical waste, floating waste, etc., cannot be manually separated, it is necessary to separate the waste in a way that is secure, forgiving, and automatic. Therefore, aim of the paper is to present a smart, which is capable of separating wastage image dataset from kaggle.com using image processing techniques. The .NET system is a image processing framework based on the module the software is an image classification algorithm machine learning process. The project's ultimate goal is to separate garbage into four major categories: paper, food waste, plastics, and metals. The proposed CNN image segmentation & object detection based, after processing and segmentation is done, it separates waste into degradable and non-degradable waste.

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 Keywords

Wastage, Image processing,CNN, Object detection, segmentation

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A signal from an electrocardiogram (ECG) carries important data about heart activity. When taking an ECG using electrodes, Power Line Interference (PLI), Baseline Wandering (BW), Motion Artefacts (MA), and High Frequency (HF) noise pollute the data. It is necessary to recover the ECG signal from the noisy environment without losing any of the information. It is suggested to choose and use an effective filter design. Separate digital filters, such as Low pass, High pass, and Band stop Filter in cascade, are required for the Finite Impulse Response (FIR)-based multiband. The suggested filter's performance is assessed using data from the Physionet ECG ID database, which contains records of naturally noisy ECG signals. The multiband filter is proposed and executed on MATLAB 2018.b. It removes 90% of the noise. For the further reduction of MATLAB Out

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 Keywords

Low pass filter, high pass filter, band stop filter, EMD technique

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 Abstract

ABSTRACT The research study was prepared on random group design involving N=60 sixty men inter collegiate level participated Volley ball players. The Volley ball players were chosen for the study were divided into four equal groups of n=15 fifteen volley ball players each at random and designated as empirical group 'A' trained with plyometric training (PTG = I), empirical group 'B' trained with core training (CTG = II), empirical group 'C' trained with combined training of plyometric training with core training (CPCTG = IV) and control group volley ball players 'D' (CG = IV) did not participate any of the above training programme apart from their regular training programme. The treatment of plyometric training, core training and combined training to the specific groups volley ball players were given three days per week on alternative days for a period of 12 weeks. The collected scores were treated with [ANCOVA] Analysis of Covariance was used to calculate 'F' ratio to find the significant changes among all the four groups. Whenever the adjusted post test means 'F' ratio found significant the Scheffe's post hoc test was applied to find the paired means difference to compare with critical value. All the collected scores were analyzed with computer SPSS statistical packages. The level of significance was fixed at 0.05 level of confidence.

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 Keywords

Key Words:- Plyometric training, Core training, Volley ball players.

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Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. A huge repository of terabytes of data is generated every day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. The utilization of Big Data Analytics after integrating it with digital capabilities to secure business growth and its visualization to make it comprehensible to the technically apprenticed business analyzers has been discussed in depth. Aside this, the incorporation of Big Data in order to improve population health, for the betterment of finance, telecom industry, food industry and for fraud detection and sentiment analysis have been delineated. The challenges that are hindering the growth of Big Data Analytics are accounted for in depth in the paper

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 Keywords

Big Data, Big Data Tools, Sources of Big Data, Big Data Classification, Benefits of Big data, Real Time Applications of Big Data

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Key Words: Active land recovery, Active water recovery, Blood lactate, Swimming performance.

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Abstract: The objective of the study is to investigate the technological challenges and barriers faced by college students in the region when trying to adopt cashless payment methods, such as mobile wallets and online banking. The data consisted of students who use the credit card, debit card, electronic fund transfer system, mobile wallets, internet banking, bank pre-paid cards, and point of sales or any other type of cashless payment. These surveys have been made to different places or on different students.

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Key words: Mobile Wallets, Online Banking.

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Inclusive education has been one of the most discussed topics for almost a decade and is still one of the most burning issues in relation to the current education system in every part of the world. The United Nations, in its Sustainable Development Goals for 2030, has included inclusive education as one of the most desired outcomes. India is also making policies from the past to make a successful inclusive setting society for the education system. India has prepared the New Education Policy 2020, which places ample focus on inclusive education. In this current paper, the researcher has interviewed 60 differently abled students by using the Respondent Interview Schedule (RIS) for the differently abled Students (DAS) about their views on different stakeholder groups associated with the inclusive educational school setting. The researcher has used the grounded theory of qualitative research methods for the analysis of the data. During the analysis, the researcher has developed theories concerning different stakeholders. The researcher has also emphasized the problems and prospects of inclusive education for those who are differently abled.

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Inclusive education, NEP, Differently abled, Grounded theory

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The impact of hearing loss poses a significant challenge in the education of Deaf learners, particularly for those born into hearing families. This paper delves into the crucial role of language acquisition as a foundational obstacle in the education of Deaf children, while also evaluating three primary teaching philosophies/methods: Oralism, Total Communication, and Sign Bilingualism. Sign Bilingualism, which regards sign language as the primary language (L1) and utilizes it as an educational tool for developing reading and writing skills (L2), is of particular significance due to its positive influence on the academic accomplishments of Deaf students. Research affirms that Sign Bilingualism augments language proficiency, bolstering linguistic competence, literacy, and overall cognitive growth in Deaf students. Additionally, it serves as a catalyst for cultural affirmation, diminishing communication barriers, fostering positive social and emotional development, and equipping Deaf learners for active participation in society. This paper primarily aims to delve into the role and significance of Sign Bilingualism Methods for Deaf Learners, along with the necessity of an accessible learning environment.

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 Keywords

Sign Bilingualism, Indian Sign Language and Literacy Skills.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

यह लेख खोजता है और चर्चा करता है की प्राचीन भारतीय कवि और नाटककार कालिदास द्वारा लिखी गई प्रसिद्ध नाटक "शाकुन्तलम्" की महत्ता और प्रभाव। यह शाकुंतलम् के प्लॉट, पात्र, विषय और साहित्यिक तत्वों की समझ को विस्तारपूर्वक प्रस्तुत करता है। लेख कालिदास के बारे में और उनके संस्कृत साहित्य में किए गए योगदानों के बारे में भी चर्चा करता है। शाकुंतलम् प्यार, विच्छेद और पुनर्मिलन की मोहक कहानी है। यह शकुंतला की कथा का अनुसरण करती है, जो सेज कन्व मुनि के आश्रम में पली-बढ़ी हुई युवती है, वह राजा दुष्यंत से प्यार करती हैं। हालांकि, एक श्राप के कारण, उनका प्यार छोटे समय तक ही बाध्य रहता है और दुष्यंत शकुंतला को भूल जाते हैं। नाटक खूबसूरती से दिखाता है की शकुंतला के विषम परिस्थितियों में वह उनके पूर्व में के प्यार की ताकत से प्यार करती हैं। अंततः, किस्मत उन्हें मिलती है और वे एक दूसरे के आग्रह में आराम पा लेते हैं। लेख कालिदास की कला प्रतिभा को जोशीले लेखन और चैतन्यदायक छवि की वीभत्सता को भी उजागर करता है। इसमें मनुष्यी भावनाओं का अन्वेषण, प्यार की जटिलताओं, दायित्व और किस्मत के विचार को विचार किया जाता है। इसके अलावा, यह प्रतीकात्मकता का इस्तेमाल और कहानी की गहराई और सुंदरता में प्रकृति की भूमिका का महत्त्व भी विचार किया जाता है। शाकुंतलम् की कायम लोकप्रियता और सांस्कृतिक महत्त्व भी विचार किए जाते हैं। यह नाटक प्राचीन भारतीय समाज के मूल्यों, रीति-रिवाजों और सांस्कृतिक महत्त्व का प्रतिबिम्ब करता है। इसने भारत और उत्तरी अमेरिका में विभिन्न कला-रूपों में अनुकरण, अनुवाद और प्रदर्शनों का प्रेरणा दिया है। समापन के रूप में, यह लेख कालिदास की शाकुंतलम् की दीर्घायु की प्रेरकता और कला प्रशस्तता को स्थापित करता है। यह शोधकर्ताओं, साहित्य प्रेमियों और उन लोगों के लिए एक मूल्यवान स्रोत है जो भारतीय प्राचीन साहित्य की अमापता को समझने और प्रशंसा करने में रुचि रखते हैं।

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 Keywords

कालिदास की शाकुन्तलम्: भारतीय साहित्य का एक अमूल्य कृति

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 Abstract

The emergence of authoritarian tendencies and challenges to democratic norms has caused a worrying change in the political landscape of the world. Political plurality has decreased, rights have been eroded, and authority has been consolidated in nations like Turkey, Israel, and France. Trust in democratic institutions has been damaged by corruption, inequality, and media limitations. Building up civil society, encouraging civic education, defending the rule of law, ensuring electoral integrity, and encouraging international collaboration are all necessary for maintaining democracy. Despite the complexity of each country's particular environment, the way forward entails active public engagement, balanced leadership, and a commitment to democratic principles.

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 Keywords

Autocracy, Democracy, Crisis, Survival

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