Volume 14 | Issue 5 |

 Abstract

ABSTRACT Air transport has become one of the most vital modes of transportation in the modern world, offering speed, convenience, and global connectivity. With the expansion of globalization, international trade, and tourism, the demand for air travel has increased significantly. However, the choice of air travel is influenced by several factors such as cost, safety, service quality, flight frequency, accessibility, and overall travel experience. Although air transport offers significant benefits in terms of speed, comfort, and connectivity, travelers often encounter challenges such as high-ticket prices, flight delays, security concerns, limited route options, and environmental impacts, all of which can influence their preferences and overall travel experience. The study aims to examine the key factors influencing passengers' choice of air transport and the major problems encountered in the process. To analyze the factors influencing the choice of air transport, Kendall's Coefficient of Concordance (Kendall's W) was applied, while the Weighted Average Ranking method was used to identify and rank the problems faced by travelers. The study concluded that ticket fare, ease of the booking process, and baggage handling are the most significant factors influencing the choice of air transport. Conversely, flight delays, cancellations, and high ticket pricing emerged as the main challenges faced by passengers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Airlines, passengers preferences and challenges faced

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents the effect of gender on smartphone addiction and happiness. In the era of technology, smartphone addiction is very common and today finding happiness and being happy is not so easy. The study was conducted to explore the comparison of smartphone addiction and happiness among gender (boys & girls). This study was conducted in MGKVP, Varanasi (U.P.), on a sample of 52 students from Economics department of MGKVP. The data was divided in to two groups- boys & girls on the basis of gender. Both groups had equal no. of respondents. Smartphone addiction scale (SAS) and Happiness scale (HS) were used to collect data. Data was analysed by Analysis of Variance (ANOVA). The main conclusion is that boys have more smartphone addiction than girls.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smartphone addiction, happiness, wellbeing, technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Madhubani Art, Mithila Painting, Indian Folk Art, Cultural Heritage, Women Empowerment, Traditional Motifs.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Thermal power plants Rotating Equipment plays a vital role, the structural integrity of rotating machinery is critical for safe and efficient operation, Rotor lifetime and safety primarily depends on the level of rotor vibration. In order to avoid unwanted consequences for the plant due to rotor damage and to meet the highest requirements of design reliability, accurate rotor dynamic predictions are mandatory. Having the correct rotor model is critical issue in dynamics prediction. Often research activities are focused only on the rotor-bearing system analysis. However, generally the whole system, which includes the rotor, bearings, casing and structural supports should be considered. Special attention should be paid to the influence of structural supports which reveals when the rotor is supported with ball bearings because of low damping and high bearing stiffness. The approach presented in this paper allows to simulate the influence of structural supports on rotor dynamics response and as a result, the full picture of rotor-bearing-support system resonances can be analysed to avoid potential problems. The methodology is based on support vibrations modal reduction technics. According to the approach, the natural frequencies and their mode shapes should be calculated for the separate support structure applying a three dimensional finite element model and the relative displacements at bearing location points are measured. Supports' normalized model characteristics (model mass and model stiffness) for each vibration mode should then be imported in a rotor dynamics algorithm for rotor unbalance response analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mitigation of pipe stress and Base related issues.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Secure communication is essential with the growth of digital data transmission. Unlike cryptography, which hides the content of a message, steganography hides the existence of the message itself. This paper presents an audio steganography method that embeds secret text into an audio file using the Low Bit Encoding technique. A key file based on ASCII values is used to enhance security during embedding. The system includes embedding and extraction modules to hide and retrieve the message while preserving the audio file's quality.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Audio Steganography, Data Hiding, Low Bit Encoding (LSB), Secure Communication, Information Security, Secret Message Embedding, Audio Signal Processing, Data Extraction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The retention of customers has become an important objective in the telecommunications industry since high churn rate damages revenue and competition. The ability to forecast who will leave enables the companies to take measures in time to retain them. This study presents an entire machine-learning method to forecast and model churn within a telecom environment. With SQL server, we collected historical information about customers (such as their personal information, service usage, billing, and previous churn). Data cleaning and transformation were undertaken with attention and critical attributes were generated. The predictive tool created was based on a Random Forest model in Python which was capable of identifying probable churners with a high level of accuracy. In conjunction with this, interactive power bi dashboards were developed to display churn trends, customer segments and trends of behavior, thus making decisions informed by data. The model was tested and found to identify key drivers of churn such as the nature of contract, monthly fees and frequency of services usage by customers. It contributed to the increase of customer retention by approximately 5% in three months.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer churn, Machine learning, Random Forest, Power BI, Data analysis, Telecom analytics

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Manual preparation of question papers is often repetitive, time consuming and difficult to scale especially when personalization and fairness is required. This paper proposes a dynamic question paper generation system using transformer based natural language processing along with semantic similarity analysis for the automation and improvement of the assessment process. The system is designed to generate multiple choice questions from existing content while taking into consideration topic coverage, difficulty level and cognitive categories based on Bloom's taxonomy. We apply semantic similarity methods to identify and remove duplicate or close questions, to ensure quality and diversity of the generated papers. The system also randomizes the question sets for each student, reducing the repetition and increasing the fairness of the assessments. It also has a performance analysis module which analyses the responses of the students and points out the weaker areas for improvement. The overall approach lessens the manual effort required from educators while supporting more adaptive and data driven assessment practices. The results indicate that the system can generate consistent and reliable question papers with relevance and diversity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dynamic Question Generation, Natural Language Processing, Transformer Models, Semantic Similarity, Bloom's Taxonomy, Automated Assessment, Adaptive Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The intelligent monitoring system and smart assistant using IoT technology and built on the Raspberry Pi 3 Model B+ have been designed and implemented as part of this project. The primary differentiating factor of the proposed system is its ability to monitor the health of the users and detect hazards (such as smoke and gas) in the environment and report while having the ability to avoid obstacles and process images using a camera at the same time. The system is made up of several sensors connected to the embedded computing platform to facilitate the collection of data and the ability to process this data in real time and make decisions. The system can be fully programmed in Python, and because this system is designed to be monitored in real time, the embedded platform is connected to the internet, and a monitoring dashboard is created using the Flask web framework. The dashboard enables the monitoring and control of the other sensors in the system. The system employs a multi-threading architecture to process multiple sensors simultaneously. The system also contains other ready-made systems, such as optical character recognition (OCR), along with voice commands and AI (for user commands) to improve user and system interaction. An emergency situation is defined as the presence of an uncontrolled fire, gas leak, abnormal human activity, or environmental danger. An alarm system such as a buzzer, along with an email notification, can be activated to alert other systems to take control of the situation. The created platform illustrates an affordable, scalable, and intelligent solution that integrates embedded systems, IoT, computer vision, and automation. Experimental data indicate that the system provides reliable, real-time formation of alerts in response to awareness and environment monitoring. Applications of the proposed system include smart home technologies, monitoring of the elderly and health, surveillance systems, assistive devices, research labs, and industrial safety technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: IoT-based Smart Assistant, Raspberry Pi System, Multi-Sensor Monitoring, Computer Vision and OCR, Health and Safety Monitoring, Embedded Systems and Automation, Real-Time IoT Dashboard.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study examines Faqirullah's perspective on rare string instruments in medieval Indian music, highlighting their structural features, usage, and historical significance. Drawing upon his descriptions alongside contemporaneous sources such as the Ain-i-Akbari, the paper analyzes instruments including the Yantra, Been, Kinnar Been, Surbeen, Rabab, Sarangi, Swarmandal, and Pinaki. Faqirullah adopts a descriptive and practice-oriented approach, documenting variations in construction, string configuration, and performance techniques. His account reflects the evolutionary trajectory of instruments, notably the transformation of the Vina into the Been, Surbeen into the Tanpura, and Ravanahatta into the Sarangi. The study further identifies cross-cultural influences arising from interactions between Indian, Persian, and Arabic musical traditions during the medieval period. By situating these instruments within a broader historical and musicological context, the paper underscores Faqirullah's contribution to the documentation and preservation of rare string instruments in Indian music history.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Faqirullah; Medieval Indian Music; String Instruments; Been; Rabab; Sarangi; Swarmandal; Ain-i-Akbari; Musicology; Instrument Evolution

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fractures often result in long-term sequelae despite successful bone union. Complications such as Sandhighata (joint stiffness) and Mamsakshaya (muscle wasting) significantly hinder functional recovery. In Ayurveda, these conditions are recognized as localized Vata-vyadhi (disorders caused by Vata) resulting from prolonged immobilization and trauma. This review explores the therapeutic role of Bala Taila (medicated oil of Sida cordifolia) used in Abhyanga (massage) followed by Bashpa Sweda (steam fomentation). By analyzing classical texts and contemporary research, this paper highlights the synergistic effect of these therapies in restoring Sandhi-chalanatva (joint mobility) and Bala (strength) to the affected limb.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ayurveda, Bala Taila, Abhyanga, Swedana, Post-fracture rehabilitation.

  License

Creative Commons Attribution 4.0 and The Open Definition