Volume 9 | Issue 3

 Abstract

Expanding cost and request of vitality has driven numerous associations to discover savvy ways for checking, controlling and sparing vitality. A keen Energy Management System (EMS) can contribute towards reducing the expenses while as yet meeting vitality request. The rising advances of Internet of Things (IoT) what's more, Big Data can be used to all the more likely oversee vitality utilization in private, business, and mechanical divisions. This paper presents an Energy Management System (EMS) for shrewd homes. In this framework the used to energy consuming for cloud system an authenticate the stage and present real world energy data. In the results of the experiments show clearly the benefit and practicality of the proposed platform each home gadget is interfaced with an information procurement module that is an IoT object with an interesting IP address bringing about a huge work remote system of gadgets. The information obtaining System on Chip (SoC) module gathers vitality utilization information from every gadget of each shrewd home furthermore transmits the information to a concentrated server for additional preparing and investigation. This data from all private territories aggregates in the utility's server as Big Data. The proposed EMS uses off-the-rack Business Intelligence (BI) and Huge Data investigation programming bundles to more readily oversee vitality utilization and to satisfy buyer need. Since air molding adds to 60% of power utilization in Bedouin Gulf nations, HVAC (Heating, Ventilation and Air Molding) Units have been taken as a contextual investigation to approve the proposed framework. A model was assembled and tried in the lab to mirror little local location HVAC systems

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 Keywords

Cloud Computing, Big Data Mining, Energy Management System (EMS), Smart Homes, System on Chip, Business Intelligent and Heating, Ventilation and Air Molding.

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 Abstract

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Psychological Wellbeing, Adolescents

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Rose apple is an underutilized mild flavoured, slightly astringent and juicy fruit. The fruits are very low in cholesterol and sodium and good source of niacin, iron, sulfur, calcium and potassium. They are high in vitamin A and vitamin C. The objective of the study was to formulate rose apple-based ice cream formulation and analyze its nutrient composition. The addition of fruits in ice cream will increase the nutritive value of the product specially minerals, carbohydrates and dietary fibre. The organoleptic parameters (i.e., color, flavor, taste, texture, overall acceptability) and chemical parameters (i.e., fat, protein, total solids, sucrose, and acidity) of rose apple ice cream was analysed. Sensory analysis was also conducted in a nine-point hedonic scale in which the overall acceptability of rose apple ice cream was found to be high in the case ice cream with 15% rose apple.

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Rose apple, Ice cream, organoleptic parameters, hedonic scale

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Keywords: Stream, physicochemical parameters, borehole, water quality, heavy metals, contamination

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Keywords: Technology, Social network sites, Peers, Development, Student Engagement.

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Through this article, we intend to describe the process of modelling real world problems into known statistical models and understand how the solutions are obtained with the help of different statistical techniques.

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Data ,Modeling, Hypothesis Testing,Regression

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 Abstract

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Extracurricular Achievements, Young adult, Employment Status

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Regression analysis is an machine learning model for sale prediction.For this kind of prediction a company needs time series of data based on that it also predict the future sales.In this project we will analyze the sale data of the company based on that we predict the sales for a specific product. For this project we apply multi-variable linear regression using a straight-lined equation.

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Prediction, straight-lined equation,modules

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The E-commerce websites have been emerged in a high range of marketing benefits for the users to publish or share the experience of the received product by posting review that contain useful comments, opinions and feedback on the product. Nowadays, millions of customers gain opportunities to compare similar products in online websites and pick their favorites in digital retailers, such as Amazon.com and Taobao.com. Customer reviews in social media and electronic commerce Websites contain valuable electronic word information of products. Sentiment Analysis is widely applied as voice of customers for applications that target marketing and customer service. Sentiment extractors in their most basic form categorize texts as either having a positive or negative or sometimes neutral sentiment. A common application of sentiment analysis is the automatic determination of whether an online review contains a positive or negative assessment. Hence, in this paper, with the help of the techniques on sentiment analysis, opinionated sentences referring to a specific feature are first identified from product online reviews. We have proposed deep learning method as a classification model for finding the state of review. The results showed recommended site for the customer based on the early reviews, past reviews and answer given to query review for the customer. Moreover, it is observed that the proposed technique can able to reply all the reviews with a better similarity like a human response to the customer.

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E-commerce, opinion analysis, sentiment analysis, deep learning

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Keywords:, Internet of Things, enhanced learning, tremendous challenges, affluent.

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The need for no contact or contactless life has come into picture after this, so this paper aims at developing a mechanism to ensure that a contactless delivery of necessities in the Medical and Mechanical field is achieved. This is a trolley which would deliver food and any other necessity in the medical fields and carry tool piece to the workstations for the ease of the workers. By using the IOT technology with a few sensors, this trolley will be developed which will be fully automated. It will use camera sensor to ensure a hassle-free movement of the trolley, it will also be Wi-Fi controlled to ensure an easy and a distant access of the trolley.

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Automated trolley, Medical, Mechanical, Mechanism

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Artificial intelligence or AI is a field of higher order technology, devoted to the creation of humanlike artificial creatures to be employed in fitting contexts with the ultimate aim to facilitate human development. Such objectives have immediately encouraged considerable interest among philosophers in the field. This tendency has sufficiently been confirmed by their numerous attempts to emphatically affirm the unattainability of at least some of the goals set by AI. On the helpful side, several of the essential techniques and formalisms employed in AI have emerged out of philosophy. Philosophers can also be observed conducting developmental researches in AI as a philosophical subcategory. This interweaving of AI and philosophy has set stage for innumerable artistic products of popular culture. At the core of the film Android Kunjappan Version 5.25 is a morally charged dilemma that arises when emotions get intertwined with technology. As conscience and feelings get engaged, the film turns into a poignant tale that actively elucidated the pros and cons of too much involvement of AI in ordinary life. Android Kunjappan Version 5.25 provides the audience with the experience of a modern technological experiment that begets unforeseen results.

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Artificial intelligence, philosophy, technology, Android Kunjappan Version 5.25, popular culture

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Sign Language is the primary mode of interaction between the specially-abled deaf and mute population. As per the World Health Organization (WHO) survey, 460 million individuals including men, women and children suffer hearing disability. Out of these 460 million individuals, about 12.3 million belong to India. Most of this population relies on a third person who is capable of translating hand sign gestures to the regionally spoken language for them. But involving a translator hinders the conversation privacy. Here, the rapid development in the field of Artificial Intelligence (AI) and Machine Learning (ML) aids to convert hand sign gestures into words that can be understood by normal people. The Indian sign language interpreter for the mute and deafened people follows a Vision-based approach which uses the Machine Learning technique of 3D-CNN (3-Dimensional Convolutional Neural Network) and LSTM (Long Short-Term Memory) neural network to productively map the input-Indian sign language gesture images to their meaning. This system aims to interpret hand gestures images of Indian Sign Language for alphabets, numbers, sentences as well as emergency words (conversion of images of hand gesture to text/audio). This proposed technique with data from various sources will aid to alleviate the communication gap between the deaf and mute people and others.

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3D Convolutional Neural Network (3D CNN), Faster R-CNN (Faster Recurrent Neural Network), Indian Sign Language (ISL), Long Short-Term Memory Neural Network (LSTM), Sign Language Interpreter (SLI)

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The Main Goals of This Study The intermediation position of commercial banks between creditors and lenders plays an important role in the process of money formation. The collection and loan of deposits for creditors makes banks a special organisation. However, the banks are exposed to risk taking in this specific banking feature. Lending will result in a build-up of risky loan portfolios, which will ultimately impact the stability of the entire banking industry. Banks' success can be calculated using various primary banking industry-unique performance measures. A bank may intentionally alter these metrics on the basis of its desired priorities and goals. However, banks may be subject to increased risk taking by these banks particular factors. The literature available shows that particular factors influence risk-taking by the bank .Therefore, this study recommends that optimal bank size should be defined effectively between commercial banks in Yemen, which will reduce risks. Moreover, this study proposes that commercial banks reassess the quality of their assets and distinguish themselves from conventional banking to reduce risk-taking.

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Impact, measures Credit Growth, industry, Commercial Banks, deposits and Yemen Gulf Bank

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cultural, leadership, international, manager, training, performance, and organizational,

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The 2019 novel coronavirus known worldwide as COVID-19 has given rise to unprecedented economic and public health issues which are likely to change the way advertising industry work in the future. Both audiences and brands adapt to a new normal, and this is reflected in television advertisement themes. As a result of consequence of proactive messaging regarding precautions for COVID-19 prevention, the number of ads categories around the subject has also increased. The study will be critical in exploring how the brands can help consumer focus on their health and wellness issues. The present study attempts to analyse the changing narrative of creative advertising strategies to address health communication issues during Pandemic through case study methodology. The researchers have analysed the content of Indian television commercials which have modified their message to spread awareness about the Pandemic.

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Health Communication, COVID-19, Television Advertising, Pandemic, Advertising Narratives, Community Health.

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This examination paper present military collaboration among India and Afghanistan since 2001 in this exploration paper all military participation's is referenced which India had with Afghanistan India and Afghanistan has long kinship and collaboration in each field of the nation consistently India has given a few grants for afghan understudies and they are supporting each other in this field India has profound relations and military collaboration with Afghanistan and it expanded after 2001 while new system and new government came and US in to Afghanistan before 2001 there was Taliban system in Afghanistan and on that their administration was known as by three nation which was Pakistan, Saudi Arabia, and joined Arab emirates that administration was instant and aberrant constrained by Pakistan since Taliban had profound relations with them and Pakistan had straightforwardly upheld Taliban their administration was uphold Islamic fundamentalists gathering and they had offered authenticity to itself after kick out of Taliban and obliterating their system India again become a decent neighbour and best assistant in the locale later then overturn Islamic groups and Indian set up political relatives through by as of late settled vote based government, gave assistance and checked out the diversion tries.

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collaboration between India and Afghanistan, and military cooperation after 2011

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Space Syntax, Spatial analysis, Street network, axial map, Connectivity, Integration.

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This study attempts to gain a first-hand understanding of the state of satisfaction and motivation of people working in various sectors in the state of Gujarat. For this purpose, a detailed and exhaustive survey comprising of questions covering various aspects of human motivation was charted and the same was circulated amongst employees of all the categories employed in various parts of Gujarat. A total of 55 responses were collected which has been used to conclude the findings of the investigation. Results obtained point out clearly towards the fact that the 21st century employee demands fair and equal treatment at his/her workplace in the absence of which he/she has the option to search for better employment opportunities in terms of tangible and intangible benefits

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Satisfaction, Motivation, Engagement, Encouragement, Employee, Employer

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