Volume 13 | Issue 1 |

 Abstract

The global construction industry is experiencing increased pressure on adopting sustainable materials and methods for addressing environmental challenges and resource scarcity. Glass Fiber Reinforced Polymer (GFRP) has gained prominence as an alternative to traditional steel reinforcement in structural applications like beams and columns. GFRP provides several distinct advantages over traditional steel reinforcement. One of its most significant benefits is that it provides an excellent strength-to-weight ratio, strong resistance to corrosion, and non-magnetic properties. These properties make GFRP highly suitable for corrosion-relevant fields, like coastal cities, chemical plants, and wastewater treatment facilities, which could be exposed to corrosive conditions. Unlike steel, GFRP will not rust or oxidize and, hence its maintenance needs are greatly reduced as well as extends the lifespan of structures. From an environmental point of view, GFRP production has a lower carbon footprint than steel, but issues with end-of-life recyclability remain a concern. There is ongoing work to develop more sustainable manufacturing practices and improve the recyclability of GFRP, such as using bio-based resins. This paper examines the economic viability of GFRP and finds that although the initial material costs are higher than the related steel product, the long-term advantages of GFRP, such as increased durability and reduced maintenance, may make it a relatively cost-effective solution in a structure's lifecycle. The review concludes with an identification of the main challenges and opportunities to promote the use of GFRP for the common adoption within the construction industry. Therefore, GFRP is a viable and sustainable substitute for traditional steel rebar in cases where durability, lightweight properties, and resistance to corrosion are a critical requirement in the environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Glass Fiber Reinforced Polymer (GFRP), sustainable construction, structural reinforcement, corrosion resistance, alternative materials, environmental sustainability, recyclability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Meaning of history, method of writing, nature and importance

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Mean nature importance type

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Creative Commons Attribution 4.0 and The Open Definition

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This paper analyzes The Circle by Dave Eggers, a novel that presents a dystopian view of a hyper-connected society where the distinction between public and private life disappears. It explores the pervasive effects of social media, data collection, and digital culture on identity, relationships, and societal norms. Eggers critiques how technological advancements, when unchecked, can lead to a loss of privacy, autonomy, and authenticity, as individuals prioritize virtual validation over genuine human connections. Through an examination of the novel's themes, characters, and narrative, this study highlights the ethical and psychological implications of living in a surveillance-driven, technology-dominated world. The paper emphasizes the dangers of unregulated technological integration, offering a cautionary tale about its potential doing so, it underscores the need for a balanced approach to technology that prioritizes human well-being over corporate or systemic control. The Circle as a cautionary tale, emphasizing the dangers of prioritizing corporate interests and systemic control over human dignity and freedom. The paper ultimately calls for a more balanced approach to technological integration in society.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technology and Society, Social media impact, Loss of identity, Dystopian vision, Individual behavior.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research examines the development of a Phase-Locked Loop (PLL) using a behavioural modelling method in Vivado XILINX, focusing on significant design issues and utilizing FPGA-based solutions for high-performance applications. Phase-locked loops (PLLs) are crucial in contemporary electronic systems, enabling clock synchronization, frequency synthesis, and data recovery. This study is based on comprehensive research in phase-locked loop improvements, encompassing design techniques, dead zone reduction, and adaptive mechanisms. Behavioural modelling in Vivado XILINX provides an efficient method for designing and verifying PLL designs before to hardware implementation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Behaviour Modelling, Vivado Xilinx, Pll

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Eco Drive is a mobile application developed to ad- dress the pressing issue of vehicular emissions, one of the largest contributors to urban air pollution. By combining automated carbon footprint tracking with gamification and community engagement, Eco Drive encourages users to adopt eco-friendly travel habits. The application analyzes commute data using smartphone sensors to estimate carbon emissions and awards points for improvements in travel choices. In this paper, we present the design, implementation, and evaluation of the Eco Drive application, demonstrating its efficacy in reducing carbon footprints and fostering sustainable travel practices.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Carbon Footprint, Eco-Friendly Travel, Gamification, Smartphone Sensors, Mobile Application Development, Community Engagement, Sustainable Development Goals (SDG)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We currently live in a digital era, where many of the services and products that we take are based online. This means that many of the activities that we perform in our day-to-day life are heavily dependent on the services existing and being functional 24/7 throughout the day. It's going to be taken into account for many of the industries in the world that exist today such as the government, healthcare and even business-related structures. In recent times, there's been a growth in distributed denial of service attacks, taking place on these services online. This attack takes place when a specific service or network is attacked by a large number of requests, which it is unable to process, slowing it down or even shutting it down in a few cases. This can be a very big issue when we are dealing with services that need to be maintained constantly to provide help to people around the world. As these forms of attacks grow, many organizations have been trying to come up with effective solutions to fight and overcome this issue. Although their systems are in place to combat distributed denial of service attacks, they often detect the attack too late to stop it. This is why we would like to create an effective method which is able to efficiently ensure that these forms of attacks are properly detected and proper actions are taken to ensure that they are stopped in their tracks. They're currently many machine learning models in the world today and we would like to go over how all of these machine learning models are able to work in the detection of distributed denial of service attacks. In this study we would like to identify the most effective machine learning methods when it comes to their detection and also assess them properly with respect to one another. We hope that our study is able to help many people pick the right methods when dealing with these attacks in order to create their own distributed denial of service attack detection model.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DISTRIBUTED DENIAL OF SERVICE , MACHINE LEARNING , DETECTION , ATTACKS, ANALYSIS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the themes of class conflict and economic injustice in Greta Gerwig's 2019 novel Little Women and considers its applicability to society in the modern world. In addition to highlighting the connection of gender, class and the restricted prospects open to women in a patriarchal, economically stratified society, the film depicts the March family's financial weaknesses. The story discusses how decisions about marriage, careers, and creative endeavors are influenced by economic reality. These issues are still very relevant in today's world, regardless of cultural background. Particularly in patriarchal nations, women still face systematic economic inequalities such as salary discrepancies, restricted educational opportunities, and the strains of financial dependency through marriage. It highlights similarities between the film's portrayal of 19th-century hardships and current issues, including the conflict between financial security and artistic aspirations, the gendered wage gap, and the exacerbated injustices experienced by vulnerable communities. Paper highlights the ongoing need for structural change to alleviate economic inequality and advance fair possibilities by examining Little Women through the prisms of gender and class. The results demonstrate how Little Women's story goes beyond its historical context, providing a powerful critique of persistent social problems and stimulating discussion on gender equality and class mobility.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Class conflict, Economic injustice, Little Women, Gender, Class, Patriarchal society ,Economically stratified society, Financial weaknesses, Marriage, Careers, Creative endeavors, Economic reality, Modern world, Systematic economic inequalities, Salary discrepancies, Educational, Structural change, Economic inequality, Social problems, Gender equality, Class mobility

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigated the impact of gamified Student Response Systems (SRSs) on vocabulary acquisition compared to non-gamified SRSs in high school English learners. 61 students were divided into two groups and utilized either Gimkit (gamified) or Socrative (non-gamified) for two 20-minute study sessions. Vocabulary acquisition was assessed through pre-test, immediate post-test, and delayed post-test scores. Statistical analyses revealed significant vocabulary improvement in both groups across all tests, but no significant difference between the gamified and non-gamified conditions. These findings suggest that while both SRS approaches can effectively enhance vocabulary learning, gamification may not inherently provide a substantial advantage. Further research is needed to explore the long-term effects of these tools and their potential impact on student motivation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student Response Systems (SRSs), Gamified Learning, Vocabulary Acquisition, English Language Learning, High School Education, Digital Learning Tools, Gimkit, Socrative

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The usage of financial cards has increased dramatically as a result of the technology for onlinetransactions developing so quickly. Since credit cards are the most widely used way of payment, there arean increasing number of fraud incidents related to them. The use of digital payments in every manner is growing quickly worldwide. Thenumberoftransactionsprocessedbypaymentcompaniesisrisingquickly.There are many credit card issues in the modern world, so a strong system that can accurately identifyfraudulent activity is required to detect credit card frauds or to stop them. Such a system will be developed.this paper presents a comprehensive framework for credit card fraud detection using machine learning,addressing the inherent challenges associated with fraud detection in real-world financial transactions. Theproposed approach offers a promising avenue for financial institutions to mitigate the risks posed byfraudulent activities and safeguard the interests of both merchants and consumers. This paper describes several platforms and machine learning technologies, as well as the notion of credit card fraud, an introduction to fraud and workflow of the proposed model.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Frauds,MachineLearning,EssentialTools,DetectionTechnique

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Navigating around a big campus can be rather intimidating, more so to newcomers and visitors. A Campus Navigation System is proposed for this paper with the help of QR code and web technology as an interactive way of user-friendly navigation. With the system, one can scan the QR code set at specific places on the campus to enter into a web application to choose his source and destination and get optimized routes. This project aims to create an efficient and intuitive navigation on campus using the technologies of HTML, CSS, and JavaScript. The outcome would be a scalable, responsive, and user-friendly system that would reduce confusion and improve accessibility across the campus.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

QR Code, Campus Navigation, Web Technology, Route Optimization, Interactive User Interface.

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Creative Commons Attribution 4.0 and The Open Definition