Volume 13 | Issue 3 |

 Abstract

This study aims to estimate the carbon footprint and Indoor environmental quality of an educational institution, focusing on the relationship between energy consumption and environmental impact. The study will involve a comprehensive assessment of the institution's energy use, including transportation, electricity consumption, waste management etc. By calculating the carbon emissions associated with these activities, the project will provide insights into the institution's contribution to greenhouse gas emissions. Additionally, the project will evaluate indoor environmental quality levels within the institution, considering factors such as indoor temperature, humidity, and air quality. Surveys and measurements will be conducted to gather data on occupants comfort levels and preferences.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Index Terms - Carbon Footprint, Energy Consumption, Environmental Impact, Greenhouse Gas Emissions, Transportation Emissions, Electricity Usage, Temperature and Humidity Control, Sustainability Assessment, Emission Reduction Strategies, Data Collection and Surveys, Educational Institution Sustainability.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Intrusion Detection Systems (IDS) are critical for safeguarding networks against cyber threats. However, their performance is often hindered by class imbalance, where malicious traffic is significantly underrepresented compared to normal traffic.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Intrusion Detection Systems, Class Imbalance, Performance Optimization, Machine Learning, Anomaly Detection, Resampling Techniques, Synthetic Data Generation, Data Preprocessing, Security Systems, Model Accuracy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study introduces web-based guidelines that use organized pre-analysis assessments to improve academic results. The portal allows users to register and take part in various kinds of evaluations, such as psychometric assessments, practical coding assignments in Java, Python, and C, and theoretical multiple-choice questions (MCQs). The platform carefully logs and examines student performance changes over a specific period, improving and enhancing the educational materials required to improve academic achievement. The platform optimizes students' learning experiences using machine learning algorithms to find developments in student data, forecast academic success, and offer personalized help.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web-based learning,AI-driven academic support,Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project introduces an IoT-based Women's Protective System aimed at enhancing safety through advanced smart sensor integration. The system is powered by an Arduino Mega 2560 microcontroller, which communicates via a Zigbee module, and is paired with an additional Arduino microcontroller with a Zigbee receiver for data transmission. A MEMS sensor detects falls, while a heartbeat sensor continuously monitors vital signs. In the event of abnormal conditions, such as a fall or irregular heartbeat, the system triggers several safety measures: a GSM module sends an emergency alert with the user's GPS location, a buzzer emits a loud alarm, and a high-intensity LED strobe light is activated to attract attention. The system's status and alerts are displayed in real-time on two LCD screens. This integrated solution provides a robust safety framework, ensuring rapid detection and response to emergencies, thereby offering enhanced protection for women in critical situations. Keywords : Arduino Uno, Arduino Mega, Zigbee, LED Strobe light, GPS, GSM, MEMS Sensor, Heartbeat Sensor.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino Uno, Arduino Mega, Zigbee,LED Strobe light,GPS,GSM,MEMS Sensor, Heartbeat Sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines Jane Austen's portrayal of female identity, independence, and social advancement in her novels Persuasion and Emma. Written during a time of significant social transformation, Austen's works offer a nuanced critique of the restrictive societal norms that governed women's lives during the Victorian era. Through her protagonists, Austen challenges the idea that women should merely be passive participants in their own lives, instead asserting their independence and autonomy.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Austen's Portrayal of Women: A Critical Examination of Female Identity in Persuasion and Emma

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prematurity is the considered to be a leading cause of childhood mortality worldwide. The primary cause of these deaths is the high cost or inaccessibility of keeping infants in hospital incubators. The objective of the work done is to design and implement a wireless incubator that is both inexpensive and portable for premature infants. The project's major goal is to reduce the causes of early death; hence it contains strategies to do that. As a result, the incubator's additional goals include minimizing the incidence of malaria and SIDS. It has sensors to monitor the incubator's vital environmental conditions. It gives this information to the pediatrician, allowing them to identify any issues that may jeopardize the baby's health. To maintain the proper temperature, the incubator can be powered by both the grid and a battery keep the temperature at the desired level all the time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32, MQ-2 Gas Sensor, DHT11, Incubator, LCD display

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Block chain based cryptocurrencies have revolutionized the fund transfer system by offering an efficient, hassle-free, and secure alternative to traditional banking. The current banking system relies on human intervention at multiple stages, making it vulnerable to fraudulent modifications of bank details and balances. Additionally, classical banking processes often involve delays in deposits and withdrawals, causing inconvenience to users who depend on financial services for their daily transactions. This research explores a decentralized banking system leveraging smart contracts to eliminate intermediaries, enhance smart contracts and security, expedite transactions. The methodology involves implementing Ethereum-based smart contracts, which autonomously execute and enforce financial agreements without third-party involvement. By leveraging cryptographic hashing and consensus mechanisms such as Proof of Work or Proof of Stake, the system ensures transparency, immutability, and security. Smart contracts manage wallet transactions, fund transfers, and payment processing, automating banking operations while reducing fraud risks. By integrating blockchain into banking, trustless transactions become feasible, reducing operational costs and enhancing financial inclusion. The proposed system ensures real-time processing with secure, tamper-proof records. Blockchain-based decentralized banking presents a viable solution to the inefficiencies of traditional banking, offering a more secure and transparent financial ecosystem that benefits businesses and individuals alike while reducing dependency on centralized financial institutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Block chain, Transparency, Immutability and Smart contracts

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The term Yathābhūtañāṇadassana, translated as “knowing and seeing things as they really are”, is a fundamental concept in insight meditation (vipassanā). This meditative method focuses on cultivating insight by directly observing the true nature of phenomena. This study investigates the term Yathābhūtañāṇadassana related to the context of two key discourses: the Sona sutta and the Dhammacakkappavattana sutta. The Sona sutta emphasizes the realization of the five aggregates (pañcakkhandhā) as impermanence (anicca), suffering (dukkha), and non-self (anatta), indicating how attachment to pañcakkhandhā lead to suffering. Meanwhile, the Dhammacakkappavattana sutta mentions Yathābhūtañāṇadassana as the knowledge and vision of the Four Noble Truths (cattāri ariyasaccāni), which are understood through three phases and twelve ways. By examining these perspectives aspects within each sutta, this paper claims that Yathābhūtañāṇadassana is not only merely a theoretical concept but an experimental realization deeply connected to meditation and wisdom. Practicing this method leads to the cessation of suffering and the attainment of liberation.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Yathābhūtañāṇadassana, insight meditation (vipassanā), five aggregates (pañcakkhandhā), impermanence (anicca), suffering (dukkha), and non-self (anatta), the Four Noble Truths (cattāri ariyasaccāni).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's globalized business environment, fostering workplace diversity is essential for organizations seeking sustainable growth and innovation. This study explores the viewpoints of managers as well as employers, in the role of inclusive strategies in promoting diversity, equity, and inclusion (DEI) within organizations. The research highlights the importance of leadership commitment, unbiased recruitment processes, employee resource groups, mentorship programs, and policy reforms in creating an inclusive work environment. Additionally, it addresses challenges such as unconscious bias, resistance to change, and cultural integration while proposing actionable solutions. By analyzing case studies and empirical data, this study demonstrates how inclusive strategies contribute to enhanced collaboration, higher job satisfaction, and overall organizational success. The findings underscore the need for organizations to move beyond compliance-driven approaches and actively embed inclusivity into their corporate ethos to drive meaningful change.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

INCLUSIVE STRATEGIES: FOSTERING WORKPLACE DIVERSITY

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Crop conditions are a serious trouble to the world's agrarian productivity, despite the fact that husbandry is essential to both food product and profitable stability. In order to stop expansive damage and yield loss, early and precise complaint discovery is essential. Conventional ways depend on growers and agrarian specialists performing homemade examinations, which can be expensive suggested system uses Convolutional Neural Networks( CNNs) to classify factory ails. The model was trained and assessed using a dataset that included film land of both healthy and sick shops. After that, the system was made available as a web operation erected on Flask, which let growers input film land for opinion in real time. According to experimental results, the model outperforms conventional ways in relating and grading conditions with high delicacy. By offering an automated, affordable, and scalable system for early complaint discovery, this exploration advances perfection husbandry. The dataset may be expanded in the future, real- time field covering via IoT bias may be integrated, and the model's conception to other environmental circumstances may be bettered. growers may minimize crop losses and take prompt preventative action by enforcing an AI- driven strategy. time- consuming, and prone to mortal mistake.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Plant, Crop, Disease, Farmers, Transfer Learning, Treatment, TensorFlow, Keras, Flask, Convolutional Neural Networks (CNN), Pooling layer, Deep learning, Image Segmentation, OpenCV, Google Widget

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Creative Commons Attribution 4.0 and The Open Definition