Volume 11 | Issue 5 |

 Abstract

There are numerous ways to consume water. People use municipal water, borewells, and many other resources. But is it safe to drink straight from the ground or to filter it in any way? It might have dangerous substances in it, making it unfit for drinking. Drinking such water could have a number of negative health effects. Several things can contaminate water. Water pollution has an impact on both people and flora. We can determine its pollution level using IoT. We can keep an eye on the water's quality for drinking, agricultural, and domestic use. Knowing the water's quality allows us to change the filtering method. This water quality monitoring system aims to determine the water quality, or how clean the water is. This water quality monitoring system uses various sensors and microcontrollers to find water quality, i.e., how the water's pH content and dissolved oxygen contents vary, and send the data to the users. The user can check the previous data and can know the pattern of the varied data, if any. This whole system fits in any water point. The values from the sensors are checked with the standard water qualities and the data is displayed in the web application from the cloud server.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Water Quality Monitoring System, sensors, pH, Wi-Fi module

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Anti-competitive agreements are frequently used to safeguard a company's trade secrets, sensitive information, and other proprietary information. The judicial system is frequently used to enforce anti-competitive agreements. A person who violates the conditions of an anti-competitive agreement may be sued by the corporation in order to get an injunction stopping them from carrying out the illegal conduct. The person will not be allowed to carry out the designated activity until the injunction is removed or the anti-competitive agreement expires if it is granted.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Anti-competitive agreements, Protection of consumers, Appreciable adverse effect on competition, E-commerce, Privacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is about the understanding the insurance company in India, their policies, underwriting processes and Financial management and performance

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

finance of lic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In this paper, the proposed method smarter way of implementation of conventional waste management using smart sensors to gather fill-level data, presence of garbage around the dustbin and sinking condition from container and garbage bins, and send it to servers in real time. Once smart bins are implemented on large scale by replacing the traditional bins, the waste can be quickly managed to its efficient level as it avoids unnecessary lumping of wastes on roadside. In proposed method an automated system is provided for segregating wet and dry waste. For detecting the presence of any waste moist or dry are detected the usage of IR Sensor within side the subsequent step for detecting moist waste a moisture sensor are used. In this process, if only IR is detected servo motor will rotate.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IOT system, bins, sensors, smart bins, dreadful disease, automated system, IR Sensor, Moisture Sensor, Weight Sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The primary purpose of the recent study is to examine the association between technological development, financial development, and economic growth in India, a non-linear and asymmetric framework. This study is based on the Non-linear autoregressive distributed lags model (NARDL) and Hetemi J asymmetric causality tests to explore nonlinearities in the vital interaction among the variables. The study revealed a cointegrating link between technological development, financial development, and economic growth in the long run. The findings suggest that a positive shock in financial development increases economic growth (coefficient value 1.91 at 1% significance level) and technological development a negative shock will harm economic performance (coefficient value -0.11 at 1% significance level). The results of this study can significantly facilitate stakeholders and policymakers in devising short-term and long-term policies for financial development and technological innovation to achieve sustainable long-run economic growth in India.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords; Technological development, financial development, Economic growth, NARDL, Asymmetric causality, India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fashion consists of style or wearing clothes to look more presentable and attractive to others. Similarly, the fashion industry is based on the industry of fashion. It is an industry that targets every type of person whether we talk about girls, boys, men, and women. Examples of the fashion industry are formal, traditional dress, bridal dress, etc. There are several qualities of the fashion industry that also play an important role in each particular sector like economics, society, and in an individual's life. We will be studying how generation Z is influenced by the fashion industry and how they make careers by using these industries and their resources. It collects the fact of consumers' perceptions towards fashion industries.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Demographic, trends, uncertainty, marketing, management, strategies, demands in the fashion industry, influence, and career in the fashion industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urban green spaces are becoming important in cities as these spaces provide refuge habitat for urban biodiversity. In recent years, there has been a notable trend in the urban industry towards embracing green spaces. In this study, we aimed to examine the ability of green spaces at PUSRI as a refuge habitat for urban bird species around Palembang. To address this question, we measured the number of birds using the point count method, analyzed three diversity metrics (Shannon, Margalef, and Pielou) and their feeding guilds, and discussed the accompanying consequences. A total of 2.044 individual birds from 40 species and 24 families were recorded during the survey. Most of them are categorized as Least Concern (LC), with only two species classified as "Endangered", i.e., the Java Sparrow, and "Vulnerable", i.e., the Javan Myna. Indonesian regulation lists three species listed as protected, including the Brahminy Kite, the Black-winged Kite, and the Java Sparrow. Three diversity metrics showed an index value ranging from medium to high. Regarding feeding guild classification, 19 species are insectivore, seven each belonging to granivore and frugivore, four carnivore, two piscivore, and the remaining belong to nectarivore. The presence of various bird species and all urban feeding guilds in the green spaces at PUSRI, as well as the good value index of the three diversity metrics, demonstrate the potential of these green spaces to serve as a refuge habitat for urban birds in the city of Palembang.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

bird, urban green spaces, PUSRI, Palembang

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proposed project aims to develop a system for computational evaluation of user feedback to detect emotional tone using advanced language processing techniques, specifically employing the Tree Attention Algorithm. The system will analyze text data and automatically determine the emotional tone or attitude expressed by the user, such as positive, negative, or neutral.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Emotional Tone Detection, Advanced Language Processing Techniques, Tree Attention Algorithm, User feedback, Customer satisfaction, Business operations.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This new decade has seen the world affected by an unprecedented health predicament with a pandemic that has been never ever been experienced earlier in our lifetimes so ruthlessly affecting numerous individuals, families and a huge section of the community. Nearly many people have been affected by COVID-19 (Corona Virus Disease). Most of the employees are facing restrictions in their jobs at their work places. Therefore, as a productive outcome of the outbreak, state governments are bound to provide stimulus packages to people who are unable to afford feeding their families. Mostly, the banks are affected by the pandemic since only half percent of the employees are allowed to work in the branches. The opening and closure hours of the banks have been restricted to constraint the spread of the disease. Most of the employees are requested to work remotely from their homes in an effort to curb the spread of the disease.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital, Finance, Employees, Banks, Disease, Pandemic, Financial, Individuals, Small-scale, Inclusion,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is the development of computer systems that can think and learn like humans. It has the potential to revolutionize the way of our living and working. One of the most significant benefits of AI is its ability which is used to process large amounts of data. Deep learning is a subset of machine learning that is based on artificial neural networks, it's particularly well-suited for tasks such as image recognition, speech recognition, natural language processing, and decision-making. Deep learning models are composed of layers of interconnected "neurons," which process and transmit information, and have been applied in various fields such as healthcare, finance, retail, and transportation. Deep learning is a great tool for analyzing large amounts of data and computational resources to train, provide techniques to reduce pests, and helps in automatic weeding. Overall, automatic weeding techniques can provide a cost-effective and efficient way to control weeds, reducing labor costs and increasing crop yields. However, the choice of technique to use depends on the crop, the weed species, and the farm conditions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Pests, Ariel survey, Deep learning, Automatic weeding

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Creative Commons Attribution 4.0 and The Open Definition