Volume 13 | Issue 3 |

 Abstract

The "Integrated LPG Level Monitoring and Alert System Using IoT and Machine Learning" project leverages IoT and machine learning technologies to enhance safety and efficiency in managing LPG gas cylinders. The system integrates an Arduino UNO microcontroller with various sensors, including gas sensors for detecting leaks, a load cell for monitoring cylinder weight, and a buzzer for audible alerts. An LCD provides real-time display of sensor data, while a red LED visually indicates abnormal conditions. When low gas levels or gas leakage are detected, the GSM module sends instant SMS alerts to notify users of potential hazards. The collected data is transmitted to a Python-based system where a Random Forest algorithm predicts and classifies the LPG levels into good or bad categories. This integration of embedded systems with advanced data analysis ensures timely detection of issues and improves safety by providing proactive alerts and precise monitoring of LPG levels.

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 Keywords

Monitoring , Prediction , Leakage , Hazards

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 Abstract

The rapid digitization of healthcare systems has brought unprecedented convenience and efficiency to medical data management. However, it has also exposed critical vulnerabilities in maintaining patient privacy and safeguarding sensitive health records from unauthorized access and breaches. This paper proposes a blockchain-based framework to address these challenges by leveraging the inherent characteristics of blockchain technology, including decentralization, immutability, and cryptographic security. The proposed system ensures secure, transparent, and patient-centric management of healthcare data, enabling controlled data sharing through smart contracts while maintaining data integrity and access control. By integrating blockchain with existing healthcare infrastructure, this approach enhances privacy, provides a tamper-proof audit trail, and ensures interoperability across diverse healthcare systems. Experimental analysis demonstrates the effectiveness of the proposed model in reducing data breaches and unauthorized access while maintaining operational efficiency. This paper highlights the potential of blockchain to revolutionize healthcare privacy, ensuring trust and security in digital health ecosystems.

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 Keywords

Blockchain, Smart contracts, PHR (Personal Health Records), healthcare, access control

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 Abstract

A tactical discrete berth allocation is the primary issue examined in this study, with the scheduling of the quay movable crane and vehicle dispatching being sub-problems. In container ports, the most crucial equipment are berths, cranes, and yard vehicles. Reducing turnaround times for vessels while using fewer resources is the goal. The stowage plan and yard templates, or their approximations, are assumed to be provided. Various techniques are used, including mixed integer linear programming, max plus algebra, greedy algorithms, dynamic programming written in functional language, and general algebraic modeling system. We integrate using functional decomposition, where smaller issues are solved repeatedly and in parallel, resulting in more modifiable and detailed factors to the main problem. We have chosen the sub-problems and their solution algorithms primarily because they are mathematically proven to be optimal or have proven properties. Furthermore, we expand the sub-problems' features. We apply the quay crane profile concept while assigning the cranes. We rephrase the crane scheduling problem to allow for heterogeneous mobile cranes, including both quay and mobile cranes. Certain features, including double cycling and yard remarshaling, are optional. As an alternative, we can choose how we load stacks or discharge in order to minimize the number of trucks. The pragmatic requirements of Finnish port operators serve as the driving force behind the study.

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cranes, and yard vehicles

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Credit card fraud is the top issue for financial transactions today because of increasing digital payments. A sophisticated system for detecting fraud is developed employing XGBoost, an accelerated gradient boosting framework, along with SMOTE (Synthetic Minority Over- sampling Technique) for handling class imbalance. The proposed model is trained on a database of actual credit card transactions and obtains better accuracy, precision, recall, and F1-score than conventional machine learning methods. Furthermore, the system is implemented with Flask, providing a web-based fraud monitoring dashboard with real-time transaction monitoring and email notifications of fraudulent transactions. The experimental results show that XGBoost performs better than Random Forest and is an appropriate algorithm to use for real-time fraud detection.

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 Keywords

Credit Card Fraud Detection, XGBoost, SMOTE, Machine Learning, Class Imbalance

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 Abstract

The importance of reading is not only helpful in person level , it has wide scope in each and every aspect of everyone's life. In today's fast-paced world , reading offer much needed escape, reduced stress and make us psychologically strong. Reading plays an important role in personal growth and cognitive development , trend the brain and enhancing memory. Reading is the powerful tool for enriching the mind, strengthning psychological health, and improving the quality of life.

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Introduction ,Main body ,Conclusion

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 Abstract

The act of transgression has been defined as the process of "crossing-over"; passing beyond any law, either civil or moral. It implies crossing a boundary of acceptable conduct or exceeding a social limit. The act of transgression is closely related to the strategy of subversion. The present paper attempts to examine Jose Saramago's The Gospel According to Jesus Christ in the light of the transgressive idea. In the works of Saramago the discourse of transgression is located in theodicy which stands as the apparatus of oppression. The study also uses subversion as an analytical tool for expressing the concern of the unprivileged and the victimized.

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 Keywords

Transgression, Subversion, Boundary, Gospel, Disobedience

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 Abstract

The ringing of bell is considered as a main ritual in doing pooja or before entering a temple. It is a tradition that is followed in Hinduism, Buddhism and some other religions. Ringing the bell is considered as evoking the god for prayers as the bell rings it produces a sound of "OM" (the holy mantra used in Hindu culture). In Scientific language the vibrations produced by ringing of bell gives our brain a certain frequency of vibrations which are maintaining our nervous system and relaxing our brain. By the development of advance science, we get to know that every Hindu tradition followed has a scientific reason behind it which could not be explained to people in ancient times so were told a spiritual act.

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 Keywords

1. Ringing Bell 2. Temple Rituals 3. Hinduism 4. Buddhism 5. Scientific Explanation 6. Sound Waves 7. Vibrations 8. Brain Frequencies 9. Meditation 10. Relaxation

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 Abstract

This study explores the impact of Blinkit's digital marketing strategies following its rebranding from Grofers, with a focus on public engagement and consumer behavior. Blinkit, formerly known as Grofers, transitioned from a traditional online grocery delivery model to a quick commerce (Q-commerce) platform, emphasizing ultra-fast deliveries in 10 minutes or less. This shift was accompanied by a transformation in its digital marketing approach, incorporating hyperlocal targeting, influencer collaborations, search engine optimization (SEO), social media marketing, and artificial intelligence (AI) for personalization. The primary objective of this research is to assess the effectiveness of Blinkit's digital marketing strategies and to quantitatively analyze public reactions toward them.

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Blinkit, Marketing strategy, Anova

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Indigenous , archipelago , primitive

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 Abstract

An IoT-based substation monitoring system leverages Internet of Things (IoT) technology to enable real-time remote monitoring, control, and optimization of electrical substations. Substations are vital components in power grids, responsible for voltage transformation and energy distribution. This system integrates various IoT devices such as sensors, communication networks, and cloud platforms to collect and analyze data from key equipment, including transformers, circuit breakers, and switchgear. It monitors critical parameters like voltage, current, temperature, and humidity, enabling operators to detect anomalies and potential faults early. The system enhances operational efficiency by providing insights into the health and performance of substation assets, allowing for predictive maintenance, which reduces downtime and operational costs. Key benefits include improved reliability, increased safety through real-time alerts, and reduced need for manual inspections, as remote access allows operators to monitor substations from anywhere. Additionally, the system enables better decision-making through data-driven insights and facilitates the integration of renewable energy sources into the grid. However, challenges such as data security, system scalability, and cost of implementation must be addressed. Overall, IoT-based substation monitoring contributes to the modernization of power distribution networks, ensuring more efficient, reliable, and safe operation of electrical substations in smart grid environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IOT, Remote monitoring,Network,smart grid

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Creative Commons Attribution 4.0 and The Open Definition