Volume 12 | Issue 5

 Abstract

IoT-based patient health care monitoring and assist system is a sophisticated platform designed to offer comprehensive and real-time health monitoring and assistance to patients, particularly those with chronic conditions or the elderly requiring continuous supervision. This system leverages a network of sensors, medical devices, and wearables to gather vital health data, including heart rate, blood pressure, glucose levels, temperature, and activity levels. Through seamless data transmission via Bluetooth, Wi-Fi, or cellular networks, this information is relayed to a centralized monitoring system for instant processing and analysis. Employing advanced algorithms and machine learning techniques, the system identifies patterns, anomalies, and critical conditions, triggering timely alerts for healthcare providers or caregivers. Patients and caregivers can access this data through intuitive interfaces like mobile applications or web dashboards, allowing for proactive interventions and adjustments in treatment plans. Integration with electronic health records (EHR) and hospital information systems (HIS) ensures holistic patient care, while stringent security measures safeguard patient privacy and compliance with regulatory standards. Overall, this IoT-based system facilitates personalized, continuous care, enhances healthcare outcomes, and promotes a higher quality of life for patients requiring ongoing medical support

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NodeMcu, Fall detection sensor, Flex sensor, Air quality sensor.SPO2 sensor .LCD display, Voice module

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The proliferation of false news has become a significant challenge, affecting various aspects of our society, including politics, education, and public discourse. This work addresses the problem of false news detection by exploring the application of different classification techniques. Recognizing the limited availability of resources, particularly datasets, we have implemented a comprehensive stacking of models that include distinct classification algorithms: The model combines Random Forest, Support Vector Machine (SVM), and Logistic Regression approaches with a multi-layered classification strategy and TF-IDF for feature extraction. This leads to an accuracy rate of 95.07%. This high-performance outcome highlights the effectiveness of the adopted methodology in distinguishing between authentic and fabricated news content.

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SVM, classifier, random forest, logistic regression

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Metal oxide nanoparticles -- zinc oxide, copper oxide, tin oxide, aluminum oxide, etc. have received a lot of attention lately. This is a result of the wide variety of innovative uses in various industries. Because of its incredibly excellent antibacterial, antiviral, and antidiabetic capabilities, zinc oxide nanoparticles (ZnO Nps) have a vital role in restorative applications. ZnO has a white appearance and is water insoluble. They do not affect human cells, but they do harm bacterial cells. Because smaller-sized nanoparticles have greater antibacterial activity, it is crucial to manufacture them. However, the synthesis process should be straightforward, inexpensive, and repeatable. Numerous techniques for synthesizing ZnO Nps have been investigated during the past few decades. The purpose of this work is to explore green synthesis techniques for ZnO Nps utilizing plant extracts. Because they use less harmful chemicals, are environmentally benign, and allow for the one-step synthesis of nanoparticles, researchers are using green synthesis techniques at a rapid rate. Microorganisms such as bacteria, fungus, algae, and yeast, as well as plants and their derivatives, are the biological systems engaged in the environmentally friendly synthesis of nanoparticles. Since ZnO Nps are thought to be harmless, nontoxic, and biocompatible, they are of great interest. Because the size and morphology of ZnO Nps determine their uses in different domains, it is critical to synthesize ZnO Nps with the appropriate size and shape. The green synthesis of ZnO Nps primarily uses a variety of plant extracts. This is as a result of the biomolecules included in plant extracts, which serve as reducing, stabilizing, and capping agents during synthesis. Obtaining plant extracts is as simple as combining the extract with a solvent, such as distilled water. Various plant parts, including leaves, roots, seeds, fruits, flowers, stems, bark, and gum have been utilized. To our knowledge, the green nanotechnology for the synthesis of ZnO Nps is not yet well documented. In the present work, the main objective was to investigate the use of part of plant used for green synthesis, study of different reaction parameters used for the synthesis. Also the biomedical applications of zinc oxide nanoparticles like antibacterial, antifungal, antiviral, anticancer, antidiabetic and drug delivery are discussed. Overall, this study stands as an initial prerequisite step to green nanotechnology research in zinc oxide nanoparticles.

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 Keywords

Green synthesis, zinc oxide nanoparticles, nanotechnology, metal oxide nanoparticles, plant extracts, antibacterial, antifungal, antiviral, biomedical application

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Identification of plant diseases is the key to preventing losses in the yield and quantity of the agricultural products. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plants is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires a tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases by capturing the images of the leaves and comparing it with the data sets. The data set consists of different plant in the image format. Apart from detection users are directed to an e-commerce website where different pesticides with its rate and usage directions are displayed. This website can be efficiently used for comparing the MRP's of different pesticides and purchasing the required one for the detected disease. This paper aims to support and help the green house farmers in an efficient way.

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 Keywords

Plant disease detection, Tensor flow, Green house, Convolution neural network, Data model, image to byte code

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In this, a project focusing on the replacement of coarse aggregate with recycled plastic aggregate below the neutral axis of simply supported reinforced concrete beams. In a reinforced concrete beam, the section above the neutral axis experiences compression, while the section below undergoes tension. The neutral axis itself bears no tension or compression. Given concrete's suitability for bearing compressive stress and steel's effectiveness in tension, concrete below the neutral axis is dispensable. The substitution of recycled plastic aggregate for natural coarse aggregate not only addresses the environmental challenge of plastic waste but also contributes to the sustainable use of resources. This substitution is particularly significant in M20 grade concrete, which finds extensive application in various construction projects. A crucial aspect of the project involves conducting flexural tests on reinforced concrete beams to assess the performance of the composite material. The results of these tests will provide valuable insights into the feasibility and effectiveness of using recycled plastic aggregate in structural applications. Overall, the initiative represents a proactive approach to mitigating environmental impact, conserving resources, and fostering sustainable practices in the construction industry.

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Neutral axis, Plastic concrete, compressive stress, tensile stress.

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 Abstract

In case of simply supported reinforced concrete beam, the portion above neutral axis is in compression and the portion below neutral axis is in tension. Tension and compression on the neutral axis is zero. Concrete takes compressive stress and steel takes tensile stress, so concrete below neutral axis is not necessary. Plastic waste is increases day by day and this waste we cannot burnt and dispose so reuse of plastic us very essential. In this project we fully replace coarse aggregate by recycled plastic aggregate below the neutral axis of beam and we take flexural test on RC beam. Due to rapid growth of industries and due to urbanization in the country it leads lot of infrastructure. So that it leads to many problems like lack of construction material, increased productivity of wastes and other products. This project deal with the reuse of recycled plastic waste as partial replacement of natural coarse aggregate in M20 grade concrete and usually M20 grade concrete is used for most constructional works.

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Recycled Plastic wastes, Plastic concrete, Neutral axis, tensile stress, Compressive strength

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Catla Catla, Tumaria Reservoir, Morphometric analysis.

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The abstract presents an overview of the strategies for preventing and detecting cyberbullying. Prevention efforts encompass a multi-faceted approach, addressing both individual and systemic factors. Additionally, the integration of technology-based solutions, such as content filtering and social media monitoring tools, can help mitigate the risk of cyberbullying incidents. Detection of cyberbullying involves the timely identification and assessment of harmful online behaviors. Machine learning algorithms offer promising avenues for detecting cyberbullying content across various digital platforms. Natural language processing (NLP) algorithms can analyze text-based communications to identify patterns indicative of bullying behavior, while image and video analysis algorithms can detect visual content containing abusive or threatening material.

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Nlp, Lstm,Cyberbullying , Machine learning

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The aim of our work is to design the G+1 building according to Indian Standard codes. The design can be done manually (or) with the help of Software. We have selected to do our project with Software because designing manually consumes a lot of time, effort and can contain mistakes whereas by using software we can save time and obtain results without errors. Now a days there are several Software's are available in market for analysis and design of Civil Engineering structures" like ETABS, Staad Pro etc. At present work we used software named "Staad Pro"" abbreviated as "Structural Analysis Design and Detailing Software". The reason for using this is that user friendly and has exceptional features like it designs the structural components individually along with their analysis and results. Additional useful feature of this software is that we can view the Shear force, Bending moment, Torsion diagrams at each level of the building. We prepared the drawing plans along with its specifications for the building plan. After preparing the plan ready we have commenced by designing the structural components of building namely slabs, beams, columns and footings etc.

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Shear Force, Bending Moment, Deflection, Slabs, Beams, Columns, Footings, Staad Pro.

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Abstract: Understanding a place's history, origins, way of life, terrain, artistic expressions, and architectural surroundings is crucial to understanding its inhabitants. The culture of a society can be very diverse. Ithalar's traditional architecture has been influenced by the region's topography, climate extremes, and other natural phenomena. In addition, the native architecture complements the surroundings really well. The traditional architecture of the area serves as the cornerstone of its social and cultural framework. It is essential that the integrity of this architecture be preserved. The Badagas are the largest indigenous group in the district of Nilgiri. The Nilgiris were formerly a tribal area. There are about 303 "Hattis" (Badaga villages) in the district. The language of the Badaga people is called "Badugu". The language has no script. It elicits great interest and respect since it portrays the disclosure of the complex realities of the local populace. Traditional architecture used locally available building materials and construction techniques that were more appropriate for the area's temperature and topography in order to create buildings that were as comfortable as possible for inhabitants. If modern construction adopts the old building practices of the past, it can significantly improve future building designs. The research is centred on architecture because it will be utilised in the construction of the new homes. This study looks at the Ithalar region and how the research has affected the design of homes there. The language spoken by the Badaga people is called "Badugu." Language does not use script. Given that it depicts and illuminates the many realities of the local population, it arouses intense curiosity and respect. Using locally accessible building materials and construction methods that were more suited to the climate and geographic characteristics of the area, traditional architecture aimed to create comfortable spaces for people. Future building designs can be greatly enhanced by incorporating the conventional building lessons learned from the experiences of earlier generations. Architecture is emphasized because the research's goal is to create the new house. The Ithalar region is the subject of this research report, which also discusses how the study's findings affected house architecture. In order to learn from the local features, the research focuses on architectural design. The description of Kutch, albeit not comprehensive, aims to convey the essence of this remarkable region of India.

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Climate Responsive Building, Vernacular Architecture, Sustainable Construction, Living Style.

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In today's rapidly evolving job market, recruitment processes are undergoing significant transformations driven by technological advancements and changing workplace dynamics. The emergence of virtual interviews, alongside traditional in-person interviews, presents recruiters and organizations with new opportunities and challenges in identifying and assessing talent. However, there exists a gap in understanding how interviewees perceive and experience these different interview formats, with most published research focusing on employers' viewpoints. Therefore, the overarching goal of this study was to fill this gap by examining the preferences, perceptions, and experiences of interviewees participating in virtual and in-person interviews. This study delves into the comparative analysis of contemporary virtual interviewing practices and traditional in-person interviews from the perspective of interviewees.

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Key Words: workplace dynamics, interviews

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This paper presents the design and implementation of a news aggregator mobile app developed using Java and PHP, featuring an integrated admin panel for efficient content management and user engagement monitoring. The app consolidates news from various sources, offering a personalized and streamlined reading experience for users. Java was used for the mobile app development to leverage its robustness and performance capabilities, while PHP was utilized for backend services, including data management and API integration. The admin panel provides comprehensive control over content, user data, and system settings, facilitating effective administration. The development process followed a user-centered design approach, with iterative testing to ensure functionality and usability. Results indicate the app's effectiveness in delivering relevant news and the admin panel's efficiency in managing operations, demonstrating the potential to enhance modern news consumption.

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News Aggregator, Mobile App, Admin Panel, Java, PHP, API Integration, User Experience, Content Management.

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In many developing nations, the use of steel as a construction reinforcement is steadily rising. However, due to cost and availability considerations, there's a growing need to find suitable replacements for steel. In cases where steel production falls short of meeting demand, having a viable alternative that rivals steel's qualities becomes imperative. Bamboo emerges as a promising alternative to steel in small-scale construction and affordable housing, especially in countries like India, due to its abundance and durability. It can effectively serve as a substitute for steel in reinforcement, offering commendable tensile resistance, a crucial requirement for such applications. The inherent strength of bamboo, stemming from its natural tubular structure that withstands wind forces well, makes it a viable option. Addressing bamboo's weaknesses and promoting its innovative use as a steel replacement presents a valuable opportunity. This research intends to perform a literature analysis to evaluate the practicality of utilizing bamboo as a reinforcing material in concrete constructions, while significant investigation has been carried out on the strength attributes of metal-reinforced concrete, comprehensive knowledge on bamboo-reinforced concrete is insufficient. Hence, this research seeks to offer preliminary understanding of the strength features and behavior of bamboo reinforced concrete, particularly in addressing challenges related to affordable shelters.

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Strengthening Material, Bamboo, mechanical properties, strength

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The landscape of banking has undergone a transformative paradigm shift with the advent and widespread adoption of digital technologies. This study conducts a comprehensive investigation into financial fraud, aiming to elucidate the root causes, assess existing tools, and propose effective strategies for safeguarding financial systems. In a contemporary landscape marked by technological advancements, financial fraud's prevalence substantially threatens global financial stability. The study delves into the multifaceted factors contributing to financial fraud, evaluating the efficacy of current tools, and proposing innovative measures to fortify the resilience of financial systems. examines the rapid development of digital banking and how it has affected conventional banking positions in significant ways. Along with streamlining banking procedures, these developments have opened the door for new customer-focused services, improved security measures, and more individualized financial experiences. Digital banking has emerged as a force for change, transforming consumer interactions, operational strategies, and the financial ecosystem, as technology advances. The impact on customer behavior and expectations is also a focal point, as the convenience of digital banking services has shifted consumer preferences and raised the bar for user experience standards. Financial institutions are now compelled to innovate continually, adapting to a landscape where digital channels play a central role in delivering financial products and services.. The paper is structured to unfold a nuanced understanding of the problem, offering actionable recommendations to preserve trust and integrity in financial ecosystems. Data breaches can result in financial fines and erode consumer confidence (Ponemon Institute, 2020). Ransomware assaults may essentially hinder bookkeeping exercises, including administration conveyance and monetary exchanges (Jartelius, 2020). Insider gambles arise when workers purposefully or inadvertently reveal touchy monetary data (Le and Zincir Heywood, 2019). Bookkeeping firms should have network protection techniques to lessen risk. This article checks out at ideas and best practices for expanding information assurance.

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Financial Frauds, BFSI, AI, ML, ATM banking, Mobile Banking, Internet Banking

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In our comprehensive agricultural project, we tackle the pivotal challenge of crop yield prediction by leveraging advanced machine learning methodologies. Our innovative approach integrates soil image recognition and a range of pertinent parameters to forecast the most suitable plant types for specific soil conditions. To establish robust predictive models, we have deployed baseline algorithms such as Random Forest (RF) for building crop yield prediction model and Convolutional Neural Networks (CNN) for soil image recognition model, enhancing our predictive capabilities and enabling more accurate insights.We have developed a sophisticated computer vision-based soil type recognition model, enabling seamless input of soil data through image processing. This user-friendly interface streamlines data acquisition and analysis processes, ensuring accessibility for farmers and policymakers alike to provide them with the optimal crop to be selected to maximize the yield and profit. Through this multifaceted approach, our project aims to empower agricultural stakeholders with invaluable insights, facilitating informed decision-making and fostering sustainable practices in agriculture.

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Machine Learning, CNN, Random Forest, Feature Engineering, Computer Vision.

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 Abstract

This research is motivated by teacher performance Darulgoh Wadda'wah Islamic Boarding School. The aim of this research is to determine the influence of the relationship betweencompetence and organizational citizenship behaviour can have an impact on teacher performance is moderated by the organizational culture of Pondok Pesantren Darulgoh Wadda'wah (Dalwah, Bangil, Pasuruan). Grand theory This research is theoreticalTheory of Planned Behavior (TPB). The sampling technique uses a formulaslovinwith an error rate of 5%. The sample in this study was 232 teacher respondents Darulgoh Wadda'wah Islamic Boarding School through an independent survey. This research instrument uses a questionnaire and is analyzed using SEM analysis, the analytical tool for this research isSmart PLS version 3.0. These analytical tools are used to analyzeouter model, inner model and hypothesis testing with usep-value. The research results show a direct influence of competenceinfluentialsignificantly against to performance of Darulgoh Wadda'wah Islamic Boarding School teachers. Connection organizational citizenship behaviour influentialsignificantly against to performance of Darulgoh Wadda'wah Islamic Boarding School teachers. The results of this research indicate that there is an influence of the moderating variable, namely organizational culture, on relationshipscompetence dan organizational citizenship behaviour against against performance of Darulgoh Wadda'wah Islamic Boarding School teachers. This research shows that practice competence, organizational citizenship behaviour and organizational culture plays an important role in encouraging the performance of Darulgoh Wadda'wah Islamic Boarding School teachers.

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Competence, Organizational Citizenship Behavior, Organizational Culture and Teacher Performance

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 Abstract

Urban infrastructure has undergone a transformation thanks to the Internet of Things (IoT), and one important use that has improved urban transportation is smart parking systems. An Internet of Things (IoT)-based smart parking system that aims to reduce the problems related to parking in cities is examined in this abstract. The system uses internet and sensor technologies to track parking space availability in real time. Parking spots may be easily located and reserved by drivers using an easy-to-use smartphone application that provides real-time information. By optimizing parking space utilization, data analytics integration lowers emissions and traffic. Administrators can also make educated decisions about urban planning thanks to the system's insights regarding parking habits. In addition to improving user convenience, this Internet of Things (IoT)-based Smart Parking solution helps to build smarter, more sustainable urban settings.

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Urban infrastructure, Internet of Things (IoT), smart parking systems, urban transportation, parking problems, real-time tracking, sensor technologies, parking space availability, smartphone application, real-time information, parking spot reservation, parking space optimization, emissions reduction, traffic reduction, urban planning, parking habits, user convenience, sustainable urban settings, data analytics, smart city initiatives.

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The Soil and Water Assessment Tool (SWAT) is a comprehensive, river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT has been widely adopted for assessing hydrology, sedimentation, and agricultural chemical yields in diverse landscapes under varying management policies. This review synthesizes over three decades of research involving SWAT, highlighting its development, applications, challenges, and future research directions. The discussion is framed around its utility in addressing emerging environmental issues, enhancing model accuracy, and integrating with other technological advances. The Soil and Water Assessment Tool (SWAT) is a well-regarded eco-hydrological model that has seen widespread application in watersheds worldwide. This review focuses on more than two decades (2002-2022) of SWAT studies across watersheds, where a total of 260 articles were identified since the model's initial application in this region in 2002. Remarkably, 62% of these studies were conducted in Greece, Italy, or Spain, and 86% of the reviewed papers were published in the last decade, highlighting a significant uptick in research activity. The primary aim of most studies was to evaluate SWAT's suitability for specific Mediterranean catchments. Many of these studies included detailed calibration and validation processes and reported on model performance outcomes. In the Mediterranean context, SWAT has predominantly been used for assessing water resources in terms of both quantity and quality, and for evaluating the hydrological and environmental impacts of land use and climate change. However, there is a growing trend toward using SWAT for multiple purposes, demonstrating the model's adaptability. Numerous studies have effectively employed SWAT alongside other tools and techniques, showcasing its versatility. Additionally, several studies have undertaken constructive comparisons of responses across Mediterranean watersheds or between SWAT and other modeling approaches.

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SWAT ANALSIS , LULC BHIMA WATERSHED

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 Abstract

Water contamination has long been a source of worry in the environmental community. Most bodies of water, such as rivers, lakes, and streams, are extremely contaminated. Floating wastes are a significant cause of pollution. To remove the floating garbage, machines have been devised. Any such machine may necessitate the use of some form of power, which is once again uneconomical. As a result, we decided to design a machine that would be simple and inexpensive, as well as not require any external power source. Given that a moving river or stream creates water heads at various points along its route of flow, it was determined to employ the available heads to generate hydropower that could be used to power a suitably built machine. The requirement for human labor to remove garbage might endanger the individual. As a result, a robot that cleans garbage from the water independently can have a substantial influence on pollution control. However, properly developing such a robot is a difficult challenge. The design and analysis of a river cleaning robot are presented in this work. The mechanism is intended to perform various functions such as collecting floating garbage, underwater inspection, and so on. The robot is made up of a frame, a cylinder hull, thrusters, and large waste disposal arms.

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ECO-AQUA CLEAN:WATER POLLUTION SOLUTION

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 Abstract

Cyber threats continue to proliferate Virtual Private Networks (VPNs) have become a ubiquitous tool for securing online communications. However, the widespread use of VPNs has inadvertently led to an increase in malicious actors exploiting VPN servers as gateways for launching attacks, posing a significant challenge for effective threat detection and mitigation. This abstract introduces a groundbreaking approach named Stealth Tracking designed to identify and thwart attacks originating from VPN servers. Stealth Tracking employs an innovative combination of advanced machine learning algorithms and network traffic analysis techniques to detect anomalous patterns indicative of malicious activities, while minimizing false positives. This paper details the comprehensive methodology of Stealth Tracking, covering aspects such as data collection, feature extraction, model training, and real-time monitoring, essential for the successful implementation of this approach. The experimental results presented in this paper showcase the efficacy of Stealth Tracking in accurately detecting and mitigating attacks originating from VPN servers. By enhancing cyber security measures, Stealth Tracking provides a valuable tool for organizations and individuals relying on VPN technology to secure their online communications. This proposed approach contributes to a more robust defense against evolving cyber threats in an increasingly interconnected digital landscape.

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Cyber threats continue to proliferate Virtual Private Networks (VPNs) have become a ubiquitous tool for securing online communications. However, the widespread use of VPNs has inadvertently led to an increase in malicious actors exploiting VPN servers as gateways for launching attacks, posing a significant challenge for effective threat detection and mitigation. This abstract introduces a groundbreaking approach named Stealth Tracking designed to identify and thwart attacks originating from VPN

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