Volume 11 | Issue 5

 Abstract

We all know from ancient period of time how yoga has impact on life. Yoga not only helps us in boosting or maintaining our physical health but also our mental health. Now-a-days as technology industry is growing so fast that we can see almost all fields is using automation. So computer field has given us the opportunity to create an application that can help people to perform yoga poses without need of joining any classes or gym. In this paper, we will discuss of how to create an fitness application with help of Deep Learning. Particularly, with help of CNN algorithm we can detect pose performed by user and estimate the accuracy of it. Hence, we shall discuss how to deploy such application and also the modules required.

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Yoga, CNN algorithm, Pose detection, Fitness application

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The intersection of analysis, topology, and geometry in fixed point theory is stunning. The theory of fixed points has emerged during the past 60 years or so as a very useful and important instrument for the investigation of nonlinear events. Fixed point theory, in particular, has been used in a variety of disciplines, including biology, chemistry, economics, engineering, game theory, physics, and logic programming. The study of real-world nonlinear fractional differential equations that result from the modelling of nonlinear phenomena, the best control of complex systems, and other scientific investigations has greatly benefited from the use of fractional calculus. The creation of novel technologies, numerical computation techniques, control for nonlinear fractional differential equations, well-posedness of fractional mathematical models, and approximation theory and operator theory are among the primary research areas in this area. In this essay, new fixed point theorems as well as findings from fractional calculus and their applications are reported.

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Approximation theory, fixed point, and fractional calculus.

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The present study was conducted on Ramoua dam to evaluate prospects of Eco-tourism. A well-recognized Water body situated at latitude 2609'32.20'' North and longitude 78013'24.91" East and covers about 3177 hectares of dam. It is a about 6 km eastern side of Gwalior. Present investigation deals with the diversity of, the biotic communities present in the system with various management measures for optimizing its scenic beauty. The Ramoua dam has around 54 species of birds including 28 species of Aquatic bird which are often sighted in and around the dam. Also, the area nearby is enriched with amphibians, reptiles, and mammals such as various snakes, wild boar, lizards, Golden Langoor, pangolin, Asiatic Jackal, Chital, Blue bull, Rabbit. Sightings of these animals are quite often around the dam which might be attractive tourist spot, with the provisioning of conserving the wildlife. Thus, for betterment and ecotourism development in a suitable manner could be well developed. The locals and NGO or private organization should be asked to be the stakeholders for both sustainable ecotourism as well as livelihood of generations.

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Eco- tourism, Ramoua dam, Development, Diversity

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Agrarian technology is changing fleetly. ranch ministry, ranch structure and product installations are constantly being bettered. Agrarian operations suitable for photovoltaic (PV) results are multitudinous. These operations are a blend of existent installations and systems installed by mileage companies when they've set up that a PV result is the stylish result for remote agrarian requirements similar as water pumping for crops or beast. A solar powered water pumping system is made up of two introductory factors. These are PV panels and pumps. The lowest element of a PV panel is the solar cell. Each solar cell has two or further especially set layers of semiconductor material that produce direct current (DC) electricity when exposed to light. This DC current is collected by the wiring in the panel. It's also supplied moreover to a DC pump, which in turn pumps water whenever the sun shines, or stored in batteries for after use by the pump. The end of this design is to explain and apply how solar powered water pumping systems work and what the differences with the other energy sources are. Solar water pumping systems operate on direct current. The affair of the solar power system varies throughout the day and with changes in rainfall conditions. Photovoltaic modules, the power source for solar pumping, have no moving corridor, bear no conservation and last for decades. A duly designed solar pumping system will be effective, simple and dependable. Solar powered pumping systems are used basically for three operations city and megacity water force, beast watering and irrigation.

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Photovoltaic (PV), DC pump, Solar Water Pump.

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The construction of both medium and long span precast concrete segmental spans is widely spread throughout India for metro projects. This method can also be taken in highways, railways, and rapid transit, in both urban and rural area. Alignment can be straight or curved, and can implement in long spans for difficult obstructions and territory.

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"Precast Superstructure in Metro Corridor"

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In the past few years, tremendous changes have taken place in the way of doing work due to the revolution in technology and the Internet. Retail Payment System in India has also evolved in the past few years due to use and up gradation of ICT. The Government of India has also launched various promotion programmes and schemes to enhance use of digital payment modes to transfer money. Various modes of digital retail payments are used to make payments like NEFT, IMPS, UPI, Debit & Credit Cards, PPIs and UPI. Secondary data related to value and volume of payment modes has been collected from the website of RBI for the period from 2016-17 to 2022-23. The data has been examined using graphs and percentage. Value and volume of various retail digital payments modes has been analyzed. It was interpreted from the study that use of digital modes has increased during the study period and the use of paper base Instruments has declined both in terms of volume and value. Unified Payments Interface (UPI) has emerged as the most used mode for digital retail payments transactions and use of other retail digital payment modes has declined.

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NPCI, Digital Retail Payment (DPR), Total Retail Payments (TRP), Paper Base Retail Payment (PBRP), UPI.

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This paper presents a survey of various methods for the mapping of radiated marine noise. The objective of this survey is to document these methods focusing on their assumptions, models, working, implementation and help the reader develop a clear understanding regarding the subject.

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Shippping Noise, Marine Acoustics, Underwater Domain Awareness, Sonar

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A nation can become more prosperous economically by increasing its power generation efficiency. The suggested concept is to implement energy during the passing of vehicles over a speed breaker using the Rack and Pinion mechanism, which converts rotational energy into electrical energy. This method is useful in regions where producing electricity is a challenging task. The kinetic energy of moving automobiles on roads, highways, etc. can be used to create power using this method.

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Speed Breaker, Rack-Pinion Gears, Spur Gear, Springs, Generator or Dynamo, Battery, Inverter Circuit, Arduino UNO, LDR Light Sensor, LCD display, Voltage sensor module.

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Users may connect with a large number of people at once by exchanging data packets across broadcast communication channels. As the number of interacting nodes increases, it seems that the possibility of spoofing, espionage, and other types of network attacks increases as well. Due to this, far less encryption is needed for node-to-node unicast connections than it is for this data. Several models are capable of playing this function, but they are all limited in their capacity to scale since they compromise the connection's quality of service (QoS) in order to enhance the performance of the encryption. In this book, an unique attribute-based hybrid encryption and privacy protection method is introduced to address this drawback (abbreviated as CSAEEP). The recommended method defends against intermediate assaults by using attribute-based encryption and packet lifetime awareness. This is made possible by combining the initialization vector (IV)-based encryption with the Fernet model. Using data gathered at the node level from all broadcasting nodes, the CSAEEP model creates a broadcast key. There is less chance that sensitive data along the communication chain may be compromised since the broadcast key is produced again after decryption using node-level attributes. In order to further improve the durability of the encryption, IV encryption employs random values for the same key vector. This approach also makes use of network-wide automatic key verification. To better protect encrypted data and maintain differential privacy, an exponential approach is used. This prevents broadcasting parties from unintentionally learning a node's individual identification information. A variety of attack patterns were tried against the proposed model, and its defence mechanisms and quality of service metrics were evaluated. The suggested model was shown to have 23% less latency, 19% stronger attack resistance, and 20% less complexity than methods considered to be state-of-the-art, making it simpler to apply in real-time deployment scenarios.

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Privacy, security, encryption, hybrid, fernet, IV, QoS, Attack

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A population, circumstance, or phenomena is intended to be correctly and methodically described through descriptive study. What, where, when, and how inquiries can be answered, but why questions cannot. A descriptive research strategy can study one or more variables using a wide range of research techniques. From the conjoint analysis result it has been found that all the combination the sensitive score for crop type is-0. 735, mode of payment is-2. 18, & insurance service provided is 6.45. Final results of The Conjuring analysis shows that all the available alternative farmers prefer to rely on cooperative societies for their insurance where the prefer the annual mode of and this option they would like to pursue for the kharif crop.

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crop insurance

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Background - WHO's latest projection indicates that globally obesity has nearly tripled since 1975. Obesity (Sthaulya) is defined as abnormal or excessive fat accumulation that may impair health. Ashtang Hridaya has mentioned Rasanjan as best treatment of Sthaulya in Agrya Dravya. Rasanjan is a herbal and animal origin (Jangama) product, which is prepared mainly by Daruharidra Kvath (Extracts of Berberis aristata) and Ajakshir (Goat's milk) or Gokshir (Cow's milk) Rasanjan is known to have Katu and Tikta Ras, Ushna Veerya, Kaphanashak and Chedana Karma. Aim - To evaluate the efficacy of Rasanjan in the management of obesity (Sthaulya). Material and Methods - A randomized control clinical trial was conducted for 60 days with Sample size of 48 divided in two groups. Rasanjan along with diet and exercise was given in study group whereas only diet and lifestyle advice was given in control group. Results- Study group showed statistically significant (P<0.05) results in reduction of weight, BMI, Circumference - Abdomen, Arm, Neck, Thigh, Waist, Hip, Waist-Hip ratio, Total body fat %, Biceps fat, Triceps fat, Subscapular and Abdominal fat percentage when analysed by 2 way ANNOVA test. Conclusion - Rasanjan's properties are opposite to that of Kapha and Meda , therefore with Samanya-Vishesh siddhant it helps in reducing Meda in body and thus helps in obesity. Obesity is a lifestyle related disorder and it cannot be managed without making lifestyle changes. Rasanjan along with diet and exercise works well in management in Sthaulya as compared to only diet and exercise.

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BMI, Fat percentage, Obesity, Rasanjan, Sthaulya

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There are different stages of Alzheimer's disease. In our paper we have proposed a method to detect those having mild cognitive impairment (MCI) which is at the early stage of Alzheimer's disease (AD). We have proposed a novel voxel-based hierarchical feature extraction (VHFE) method for the early alzheimer's disease diagnosis. Firstly, we have parcellate the whole brain into several regions of interest (ROIs). Then, the brain feature maps of each subject made up of the fetched voxels and are fed into the convolutional neural network (CNN) to learn the deeply hidden features of the brain. Finally, to test the efficiency of our proposed method, we test it with the subset of the database.

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Alzheimer's, ADNI, fMRI, Deep-Learning, Feature extraction, Data Processing.

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 Abstract

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??????????, ???????,?????? ???????,???????? ?????,?????????,??????? ??????,?????,???-?????,??????????,??????? ???????, ??????? ??????? ?

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Saumya Pandey is a student of Bachelor of Arts (Hons) in English of Amity Institute of English Studies and Research, Amity University Uttar Pradesh. The Summer Project is titled The Contemporary Relevance of Socio-religious Themes in Kabir's Songs. The project is in partial fulfilment of the requirements for the award of a degree in English.Instead of dogmatic religious doctrine, he encouraged individuals to focus on inner reflection and self-realization.Kabir Das addressed societal issues like as casteism, gender inequity, and religious conflict in addition to his spiritual teachings..His poems frequently challenged traditional societal standards as he fought for equality and spoke out against prejudice and persecution.Kabir Das' poetry and teachings had a great impact on Indian culture, inspiring generations of individuals to challenge conventional standards and embrace spirituality..His work is still honoured and studied today, and his message of unity, equality, and self-actualization is still relevant and motivating.IMPLICATIONS OF UNDERSTANDING KABIR'S WORKUnderstanding Kabir's work has several implications for individuals and society as a whole..Some of the key implications include:Kabir's emphasis on inner introspection and self-realization can motivate people to focus on their spiritual progress, leading to a deeper feeling of purpose, tranquilly, and fulfilment in life.Kabir's poetry frequently challenged established social standards and advocated for equality, which might motivate individuals to rethink societal systems and work towards constructing a more equitable and inclusive society.Encourage interfaith discussion: Kabir's teachings emphasised the unity of all religions and the need of appreciating variety, which can encourage people of other faiths to participate in dialogue and develop bridges of understanding.Combating discrimination: Kabir's lessons on equality and social justice can encourage people to fight discrimination and prejudice in all of its forms, thereby building a more inclusive and equitable society.Inspiring creativity: Kabir's poetry is well-known for its lyrical quality and metaphoric use, which can inspire people to explore their own creativity and express themselves through art, music, or writing..Understanding Kabir's work can have far-reaching ramifications for personal growth, social justice, and interfaith understanding, encouraging people to live more meaningful and fulfilled lives while striving towards a more just and harmonious society.REFERENCESKabir, The Life and Work of the Early Modern Poet (Purushottam Agrawal)The Mystic Mind and Music of Kabir (Lakshmi Chandrashekar Subraman)Mystic Songs of Kabir (G N Das)The Life and Philosophy of Kabir (Abhilash Das)Kabir in Favour of Women (Anil Rai)Flow Free, Breathe Free (Dr Kum Kum Ray)

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bhakti, sufi

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This study investigates the factors that influence consumer preferences for tea brands. The study finds that consumers prioritize high-quality tea that offers health benefits and unique flavors. Sustainability and social responsibility are also important considerations for consumers. Marketing strategies such as storytelling, social media engagement, personalization, and influencer marketing are effective in promoting tea brands. The study also reveals regional differences in tea consumption and suggests that brands need to pay attention to these differences to remain competitive. The study concludes that by investing in effective marketing strategies and prioritizing sustainability and social responsibility, tea brands can appeal to a wide range of consumers and remain competitive in the market.

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Tea, Consumer preferences, Branding, Quality, Health benefits, Sustainability, Marketing strategies, Regional differences, Social responsibility, Influencer marketing.

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Through the prism of translations, the present research explores how Italy morphed from a geographical region to a nation-state. The study underlines the essential role of human geography in the building of the Italian identity by looking at the dissemination of knowledge through translations. The difference between geography and space is stressed, as well as the way geographies influence language development. Consequently, the formation of a common language reinforces Italy's sense of nationalism. The findings of the study have substantial ramifications for analysing the intricate relationships between geography, language, and the emergence of nation-states.

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Translations, Space, Geography, Language Formation, Nationalism, Knowledge Dissemination

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This paper analyzes the selected short stories of Rabindranath Tagore, written at a time when feminism was not a well-developed concept. India, in the 19th and 20th centuries, when Tagore wrote, was a deeply patriarchal, oppressive and stifling society. Tagore was a philosopher, educationist, writer, artist, social reformer, and intellectual -all rolled into one- who used the medium of literature to bring about changes in society, which greatly influenced the national leaders like Mahatma Gandhi. This paper examines five short stories of Tagore: "Exercise-book", "Profit and Loss", "Giribala", "Judge" and "The Skeleton". Tagore strongly advocates for the education of women, as an essential condition for their upliftment. He supports the movement of women from the stifling four walls of their homes to the forefront of society, to take up roles that were a faraway dream till then. He stands against the evil practices like dowry system which commodify women and put a price to their life, freedom and dignity. He also comments on the condition of widows of the time, who were cursed to a life time of loneliness and abuse and neglect. We can see in Tagore's works powerful anticipations of the feminist thrust which from the second half of the 20th century onwards was gaining momentum on a global level as a movement advocating equal rights and opportunities for women and for their ultimate liberation from enslavement and misery in different guises. Through his works he gives voice to the voiceless and, from a larger humane perspective as a trail blazer which was to cater to greater cultural consequences quite progressively in later decades leading to larger perspectives on women's liberation.

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Tagore, feminism, women in India, education, gender, equality, culture, liberation

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Tunnels are part of modern transportation infrastructure systems, varies Tunnelling systems are used in railways, metro transport and even with road transport systems. The most common methods are NATM and TBM tunnelling methods. The durability and economical way of Tunnelling is the demand of today's infrastructure development. TBM tunnelling method with precast segments are used to build the required Tunnel. The precast segments are normally built with reinforced cement concrete at specified casting yards. Studies and research are going on replacing the conventional reinforced segments with steel fiber reinforced segments. SFRC segments offer economic advantages and address durability concerns related to corrosion in traditional reinforced concrete segments.

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NATM- New Austrian Tunnelling Method, TBM- Tunnel boring Machine, SFRC- Steel fiber reinforced concrete, MSFRC- Macro steel fiber reinforced concrete

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Music recommendation systems play a crucial role in today's digital music era, helping users discover new music based on their preferences. In recent years, Convolutional Neural Networks (CNN) have gained popularity in various domains due to their ability to capture hierarchical and local features from data. This survey paper provides an overview of personalized music recommendation systems using CNN, including a literature review of existing approaches, a detailed explanation of CNN, dataset and feature extraction, CNN-based music recommendation approaches, evaluation metrics and experimental results, challenges, future directions, and conclusion. The survey highlights the potential of CNN in enhancing the accuracy and effectiveness of personalized music recommendation systems and identifies areas for future research.

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Convolutional Neural Networks, Music Recommendation, Personalization, Deep Learning

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Natural Language Processing (NLP) is an interdisciplinary field that focuses on the interaction between human language and computers. With the increasing amount of data being generated every day, NLP has become an important tool for analyzing and understanding text data. Recently, pre-trained language models have gained attention in NLP due to their ability to learn from large amounts of text data and achieve state-of-the-art results in various NLP tasks. In this research paper, we investigate the effectiveness of pre-trained language models, such as BERT and GPT-2, in several NLP tasks, including sentiment analysis, text classification, and named entity recognition. We compare the performance of these models with traditional machine learning algorithms and rule-based approaches. Our experiments show that pre-trained language models outperform traditional machine learning algorithms and rule-based approaches in most NLP tasks, achieving high accuracy and F1 scores. Additionally, we explore the impact of fine-tuning pre-trained models on different datasets and analyze the performance of different fine-tuning strategies. Our findings suggest that pre-trained language models are effective in NLP tasks and can be used as a powerful tool for text analysis. Moreover, the performance of pre-trained models can be improved by fine-tuning on specific tasks and datasets. Our research contributes to the understanding of the capabilities and limitations of pre-trained language models in NLP and provides insights for future research in this area.

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Natural Language Processing, Pre-trained Language Models, BERT, GPT-2, Sentiment Analysis, Text Classification, Named Entity Recognition.

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