Volume 11 | Issue 11 |

 Abstract

Advancements in technologies have developed more interest in automation therefore leading it to be a topic of attraction. Typically, a home network not only consists of devices like laptops, smartphones and tablets but also consists of Home Automation devices which could make human life much easier. One of the central drivers of automation system developments is IoT. IoT has become a great help for the new generation technologies such as Smart Home (SH) and, Embedded Systems. A simulative example of Home Automation is demonstrated in this project. A home-automated model has been created to give a realistic view of a smart home. The softwares required to build this model are Cisco Packet Tracer (Packet Tracer 8.2.1 Windows 64) and Blender (3.6). To provide reliable services automation of the home should be adaptable, analytical, and user-friendly. The project states how IoT can help provide a reliable, low-cost, and effective Home Automation System. The main function of the Home Automation System is to collect the sensor data and send it to the currently connected device(s) of the client. Different sensors are being used for achieving various functions of the Smart Home. The system connects various sensors including NodeMCU and updates their data to the client's logged-in device. This results into a great help for building a system that is automated, cost-effective, user-friendly, and effective power consumption.

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 Keywords

Smart Home (SH), IoT, NodeMCU, Home Automation, Embedded Systems, sensors, network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Uttar Pradesh is comparatively a less urbanized state of India i.e 21.78% as compared to total urban population in India being 31.16% . The district of Prayagraj forms an important geographical and cultural entity in the state. There is a presence of drastic levels of difference in the urbanization levels in different regions of the district. The district lies in the confluence of rivers Ganga and Yamuna. They divide the district into different regions. The area lying between both the rivers i.e the Doab region has seen high growth of urban population of 87.1%. While the region in both trans-Yamuna and trans-Ganga have experience constrained growth in urban population. Specially the trans-Yamuna Region where according to 2011 census the urban population level is 5.79% . The paper aims to study the variation in urbanisation across different sub districts and different units to chalk out a definite pattern in urban growth . the absolute growth has a linkage with the rates of growth of the town which is inth form of positive correlation inmost of the cases

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 Keywords

Urbanization, Growth, Census towns, sustainable urbanization, migration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge, Practice, Postnatal mother and Kangaroo Mother Care.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ever wonder if your phone could understand how you're feeling as you type? This research is all about making texting more in tune with your emotions. We're taking predictive texting, the tool that suggests words as you type, and giving it a heart. Instead of just predicting words, it's now predicting how you feel. We start by looking at what's been done before in predictive texting and emotions. Turns out, words are more than just letters; they carry feelings. We saw a gap in understanding these feelings in the tech world, so we set out to bridge it.How did we do it? We collected lots of messages from people, all kinds of sentences, happy ones, sad ones, everything. Then, we taught our computer to recognize emotions in those messages. It's like teaching a friend to read between the lines, but in this case, the friend is a computer program. The tricky part was putting this emotion-reading skill into predictive texting. We had to tweak and tune things to make sure it gets the feelings right. The results were pretty cool - our texting tool didn't just guess words; it guessed emotions too. We dive into how we made our computer recognize emotions in text. It's like giving it a crash course in understanding when you're excited, upset, or just having a chill conversation. We used clues from how words are used and put them all together to make sense of the feelings behind the words.The fun part? Testing it out! We let our emotion-savvy texting tool loose and checked how accurate it was. It turns out, it's not just good at predicting words; it's pretty good at catching your mood too.In the end, we chat about what this all means. Imagine a texting buddy that not only gets what you're saying but also how you're feeling. We wrap up by talking about what's next and how this is just the beginning of making texting a bit more human, a bit more understanding, and maybe a bit more fun. We wrap up by talking about what's next, and here's the kicker--it works in your language. So, no matter where you're from, your phone gets you in the language that feels like home. It's not just tech; it's a friend who speaks your language, literally.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

predictive texting , recognise emotions , feelings

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the application of deep learning techniques in the field of 3D animation generation. We investigate the use of neural networks, specifically generative models, to create realistic and dynamic 3D animations. Our approach leverages the power of convolutional and recurrent neural networks to learn and generate complex motion sequences, effectively bridging the gap between artificial intelligence and computer graphics. We present experimental results that demonstrate the potential of this methodology for creating lifelike and engaging 3D animations, opening new possibilities for the entertainment, gaming, and simulation industries. We explore the fusion of deep neural networks and computer graphics techniques to autonomously generate captivating 3D animations. Leveraging the capabilities of convolutional and recurrent neural networks, our approach learns intricate motion patterns and environmental dynamics, enabling the creation of compelling and realistic 3D animations. The results of our experiments showcase the potential of this approach, offering promising prospects for revolutionizing the fields of entertainment, gaming, and simulation by automating the animation creation process. We present experimental results that demonstrate the potential of this methodology for creating lifelike and engaging 3D animations, opening new possibilities for the entertainment, gaming, and simulation industries. Leveraging the capabilities of convolutional and recurrent neural networks, our approach learns intricate motion patterns and environmental dynamics, enabling the creation of compelling and realistic 3D animations. The results of our experiments showcase the potential of this approach, offering promising prospects for revolutionizing the fields of entertainment, gaming, and simulation by automating the animation creation process.

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 Keywords

Keyword- Deep learning, CNN, YALM, GAN, CYCLE GAN, Mesh, Computer Graphics, WGANS.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

bharat aur dakshin purva asia ke bich paraspar sambandho ki etihashik vivechna

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Creative Commons Attribution 4.0 and The Open Definition

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bharat aur dakshin purva asia ke bich paraspar sambandho ki etihashik vivechna

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An empirical analysis of the shadow economy involves studying and quantifying the extent and characteristics of economic activities that occur outside the formal sector and are not reported to the government for taxation or regulation purposes. This analysis typically involves collecting and analyzing data from various sources to estimate the size, composition, and drivers of the shadow economy. Researchers employ different methodologies to measure the shadow economy, including direct and indirect approaches. Direct methods involve surveys, interviews, or self-reporting by individuals or businesses engaged in informal economic activities. Indirect methods utilize macroeconomic indicators, such as discrepancies between national income and expenditure, currency demand, or electricity consumption. Empirical studies on the shadow economy provide insights into its causes, consequences, and potential policy implications. They can help policymakers understand the factors that drive informal economic activities, such as high tax burdens, excessive regulations, or limited access to formal employment opportunities. Additionally, these analyses can shed light on the impact of the shadow economy on government revenues, economic growth, income inequality, and social welfare. It is worth noting that measuring the shadow economy accurately is challenging due to its clandestine nature. Therefore, empirical analyses may have limitations and uncertainties associated with data collection methods and assumptions made during estimation. Nonetheless, these studies contribute to our understanding of the shadow economy and inform policy discussions aimed at reducing its size and integrating informal economic activities into the formal sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Economy, Formal Sector, Informal economy, Inclusiveness, Tax evasion

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Creative Commons Attribution 4.0 and The Open Definition

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Prosody is one of the most beautiful distinguishing features of language. It is very interesting to understand that in any kind of communication, be it prose, poetry or song, if the elements of prosody are adhered to, it gives a unique experience to the listener or reader. Indian Classical Music is one of the richest music legacies in the world because of brilliant composers who enlightened the practitioners and rasika-s of the art. This paper deals with how the concept of prosody is incorporated into the compositions of the great composer Muddusv?mi D?k?ita, mainly his V?ra K?ti-s. To do this, the different terms or elements in prosody are considered and suitable examples depicting the usage of these elements in D?k?ita's k?ti-s are illustrated. This study shows how versed D?k?ita was in terms of language, aesthetics, grammar and poetry. It also allows aspiring composers to draw inspiration and write the s?hitya adhering to these prosodical elements.

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Muddusv?mi D?k?ita, v?ra k?ti-s, prosody, pr?sa, metrical patterns, p?da, prosodical beauties

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Creative Commons Attribution 4.0 and The Open Definition

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Aim of this study was to determine selected macronutrients (sodium and potassium) and their ratio in different types of fast foods, using Flame Photometer. The selected samples were noodles, pasta, buns, sliced bread, salted biscuit and chips. All the samples were weighed and dried in hot air oven, digested and analyzed for sodium and potassium. The highest level of sodium was found in salted biscuits and potassium in noodles and both the observed nutrients were within the permissible limits set by World Health Organization. The observed samples contain more sodium and less potassium, therefore they had low potassium to sodium ratio and this indicates the samples are not healthy kind of food.

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 Keywords

fast food, sodium, potassium, permissible limit

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Creative Commons Attribution 4.0 and The Open Definition

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The main aim of current review article is to study the various recent advances in Green Chemistry Approach. "Green chemistry" refers to the use of a set of rules to lessen the use of hazardous compounds in the development, manufacture, and use of chemical products. Microwave synthesis is a major development in synthetic chemistry technology, yet it has long been known to be time-consuming, ineffective and artistically limited. Microwave synthesis allows chemists to spend more time creating new protocols, verifying theories, and using their imagination. Instead of needing as much time to synthesize a single reaction, chemists can now perform the same reaction in a matter of hours or even days. The problem of disposing of solvent waste has been overcome by performing processes without the need of a solvent under microwave radiation provides safe chemical processes without requiring.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Green chemistry, dipole polarization, microwave technology, Reproducibility.

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Creative Commons Attribution 4.0 and The Open Definition