Volume 13 | Issue 1

 Abstract

The study titled consumer perception towards Electric Vehicles explores consumer awareness regarding Electric Vehicles (EVs) and its impact on the adoption of sustainable transportation solutions. With the global push for reducing carbon emissions and transitioning towards greener alternatives, understanding consumer behavior and knowledge is crucial for promoting EV adoption. The study investigates key factors influencing consumer awareness, including environmental benefits, economic incentives, technological advancements, and infrastructure availability. This research contributes to identify the factors considered while purchasing the Electric Vehicles, satisfaction towards various features of E -Vehicles and the association between age group and attitude towards E-Vehicles.

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 Keywords

Consumer awareness, Electric Vehicles, Adoption of Electric Vehicles, Consumer behavior.

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Regressive alteration is a complicated condition that causes enamel and dentine to deteriorate. Erosion, abrasion, abfraction, attrition, resorption, or a combination of these lesions are typically the cause. With intervals of activity and inactivity, regressive alterations are shown to progress slowly. Prevention is still the best way to keep a tooth healthy for as long as possible, even though restorations are sometimes necessary. For the diagnosis and treatment of these lesions, a comprehensive understanding of their origin, symptoms, and signs is essential. This page helps readers diagnose the type of lesion and determine the best course of treatment by outlining the etiological causes.

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Erosion,Attrition,Abrasion,treatment.

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The Potential and Difficulties of Artificial Intelligence in Improving Internet of Things-Based Surveillance Systems Aaryan Agrawal*, Aasha Shah*, Ayush Bhardwaj*,D Abdul Rahaman*, M Dakshayini* * Department of ISE, B.M.S. College of Engineering, Bengaluru, Karnataka, India. Abstract: The integration of Artificial Intelligence with Internet of Things is revolutionizing the IoT-centric surveillance system, making it more agile and proficient in identifying, monitoring, and responding to all forms of threats within seconds. The varieties of sensors and drones continue to capture numerous data around them, and the AI algorithms calculate this data to identify patterns, alert anomalies, and predict potential security threats. The AI-driven system has the ability to autonomously detect intruders, monitor suspicious activities, and monitor environmental hazards like a fire threat. The advanced deep learning algorithms and computer visions have started to be used to help identify objects, support autonomous decision-making processes, and enable quicker responses. These surveillance drones now can be deployed and utilized for reconnaissance missions in highly vast areas and then send back autonomous responses. AI in IoT-based surveillance, though, brings forth challenges such as issues with data privacy, the need for robust energy-efficient devices, and complexity in real-time processing. However, AI and IoT together are creating smarter and more adaptive surveillance systems, offering advanced solutions in security within smart cities, industries, and public venues.

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 Keywords

Artificial Intelligence, Internet of Things, Surveillance Systems, Threat Detection, Data Privacy, Real-Time Processing, Machine Learning, Computer Vision, Facial Recognition, Anomaly Detection, Predictive Analytics, Autonomous Drones, Smart Cities, Environmental Monitoring, Edge Computing, Cloud Computing, Cybersecurity, Pattern Recognition, Data Collection, Human Oversight, Ethical Considerations, Social Concerns, Regulatory Compliance, Scalability, Energy Efficiency.

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Water, a vital component of life, wastewater quality parameters are crucial for analyzing water that has been impacted by human or industrial activities. Treatment of waste water is done by many methods. In the present study, the quality parameters of wastewater are reduced by using natural adsorbent mixture, which is a mixture of wooden sawdust, ceramics from waste cups and saucers and river sand. The effectiveness in the treatment of wastewater is very high of using this mixture of adsorbent. The quality parameters are determined before and after treatment, which saw a reduction in TDS-91.2%, BOD-82.6%, COD-79.5%, hardness-94.3%, Sulphate-86.3%, Nitrate-60.6%, Chloride-70%, TSS-84.4%. The mean value flow rate is 15sec/liter. These materials saw their effectiveness in both acidic wastewater and basic wastewater.

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Adsorbent, sewage wastewater, wooden sawdust, filtration.

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The Collaborative Coding Platform is a cutting-edge tool that enables developers to work together seamlessly in real time. With features such as live code synchronization, multi-user activity indicators, and real-time execution of code, the platform fosters efficient teamwork and problem-solving. Built using modern technologies like Node.js and React, it offers a reliable and interactive environment for collaborative programming. By bridging gaps caused by geographical distances and asynchronous schedules, the platform supports enhanced productivity and collective learning in software development. This paper explores its architecture, implementation, and diverse use cases.

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Real-time collaboration, Node.js, React, Render, live code execution, conflict resolution.

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Natural disaster prediction is scientific and techonlogical model use to forecast and severity of natural disaster such as earthquake,cyclone,cludbrust. It involves the analysis of a range of envoirmental , geological and metrological factors to develop early warning system . We will train the datsset . The model will process with input dataset and it predict the output according to existing data sets

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 Keywords

Natural Disaster, Earthquake, Cyclone, Cloudbrust,Machie Learning

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This study attempts to explore the role of Naga mothers, specifically the Naga Mother's Association (NMA), in conflict resolution and peace-building in Naga society. It examines how mothers strategically employ their motherhood identity to mobilize conflicting groups to make peace and how, in the process, the NMA has achieved to create a political space for women in a patriarchal Naga society. It primarily emphasizes NMA engagement in peace activism and peace projects.

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Peace-building, motherhood politics, activism, peace projects

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To understand the evolving perceptions of Muslims around the world after the Palestine-Israel war, Shivi Soni has researched for more than 2 months to get an in-depth knowledge on this. Under the guidance of a Harvard student, Shivi has learnt different ways to go about this topic. In her research, she has explored how different ethnicities, groups, and people viewed Muslims and how their view on them has evolved and changed, including topics of relations of Americans and Muslims, and relations of Indians and Muslims. Additionally, the perception changes taking place from the Palestine-Israel war, and also during the conflicts during Indo-Pak war and relations are addressed In this paper, she will further elaborate upon the views on Muslims and how exactly they have changed over the years and the reasons behind those changes as well.

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Humanities

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Community participation plays a critical role in the successful implementation and sustainability of rural development policies, especially in regions grappling with socio-economic challenges. This paper explores the role of community participation in enhancing the outcomes of policy implementation, with a focus on the Bihar JEEViKA Program, a prominent example of community-driven development. Launched in 2006-07, JEEViKA aims to empower marginalized groups, particularly women, by organizing them into Self-Help Groups (SHGs) and federations, enhancing access to financial services, promoting livelihood diversification, and fostering social capital. The paper examines the transformative impact of such initiatives, noting how community engagement in decision-making processes leads to improvements in financial inclusion, service delivery, and local governance. Drawing on case studies and relevant literature, the paper highlights the importance of bottom-up approaches in bridging the gap between policy formulation and local realities. The involvement of rural communities in policy implementation strengthens local institutions, builds accountability, and ensures policies align with the specific needs of the people. The paper also discusses key challenges faced by the JEEViKA program; the paper offers policy recommendations to enhance community participation. Ultimately, this paper demonstrates how community participation fosters a sense of ownership, leading to more sustainable and effective development outcomes, which can be replicated in other regions facing similar challenges.

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 Keywords

Community Participation, JEEViKA, Rural Development, Gender Empowerment, Policy Implementation

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Creative Commons Attribution 4.0 and The Open Definition

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In the modern world underwater images have become a very important aspect of various different fields and industries. Due to this, the requirement of high-quality underwater images has become very important in recent times. These images can be used for environmental monitoring, biodiversity, documentation, ocean exploration, as well as pollution awareness. Although all of these require high-quality underwater images it has become a constant challenge in order to obtain them. This is due to the fact that underwater images tend to have various problems that they face which degrades the quality of the image itself. Some of the issues that are faced when dealing with underwater images are color distortion, low contrast and blurriness, uneven illumination, and noise from the various particulate matter that is present in the water. All these issues sort the image to make it unusable in all the fields that we previously talked about. This is why we would like to use convolutional neural networks in order to create a model that is able to enhance these images to increase the quality. In this study, we would like to address the various issues that underwater images face, and how we intend on solving them. To do this, we will have to use various data sets in order to train the model, which we will create in order for image enhancement, and then vigorously test it using various different parameters, which we will also explain in our report. Through the study, we aim to create a model, which is able to take any form of underwater image and accurately enhance it so that it can be used in the many fields that are required today., which we will also explain in our report. Through the study, we aim to create a model, which is able to take any form of underwater image and accurately enhance it so that it can be used in the many fields that require it today.

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 Keywords

CONVOLUTIONAL NEURAL NETWROKS , IMAGE ENHANCEMENT , UNDERWATER IMAGES , MACHINE LEARNING

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ABSTRACT: Achieving a work-life balance is a significant challenge for women doctors due to the high demands of their profession and the added expectations of societal roles. This abstract examines the unique hurdles faced by women in medicine, including long working hours, on-call duties, and emotional stress. The intersection of professional responsibilities and personal commitments, such as family care and household management, further complicates this balance. Factors such as workplace culture, gender biases, and the availability of supportive policies like flexible working hours and parental leave are critical in shaping a more balanced life. The discussion emphasizes the importance of institutional support, mentorship, and peer networks in helping women doctors navigate their careers while maintaining personal well-being. The benefits of achieving work-life balance include improved mental health, job satisfaction, and enhanced patient care. In conclusion, addressing the challenges of work-life balance for women doctors is essential for fostering a healthier, more productive medical workforce. By implementing supportive measures and recognizing the unique needs of women in medicine, healthcare institutions can create an inclusive environment that promotes both professional and personal growth.

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 Keywords

navigate ,work-life balance

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Creative Commons Attribution 4.0 and The Open Definition

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In recent times, there has been a significant increase in the number of vehicles, particularly those running on fuel. Unfortunately, the rising fuel prices have led to instances where some petrol pump owners attempt to deceive their customers. They manipulate the fuel data or display incorrect information when customers request fuel filling. To address this problem, we have developed a solution called the Smart Fuel Meter, which accurately measures the amount of fuel dispensed into the vehicle's tank and calculates the corresponding cost based on the current fuel price. The Automatic Fuel Level Controller is an advanced system designed to monitor and control the fuel level in a fuel tank, typically used in vehicles or fuel storage systems. The system automatically adjusts the fuel flow based on pre-set thresholds, ensuring an optimal fuel level at all times, preventing overflows or running out of fuel. The system uses sensors and controllers to detect and maintain the fuel levels, providing alerts and controlling pumps for refilling when required. The Smart Fuel Meter incorporates Internet of Things (IoT) technology, utilizing components such as the Arduino and an embedded system to enable efficient fuel quantity measurement and fraud detection. To enhance user accessibility and transparency, we have also implemented a web-based interface that allows customers to view real-time data regarding the actual volume of fuel dispensed and the associated cost.

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Internet of Things (IoT), Fuel meter, Ultrasonic sensor.

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 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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 Keywords

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

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 Abstract

Meaning of history, method of writing, nature and importance

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Mean nature importance type

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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.

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

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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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 Keywords

Behaviour Modelling, Vivado Xilinx, Pll

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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.

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

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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.

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 Keywords

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

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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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 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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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.

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 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