Volume 13 | Issue 4 |

 Abstract

This study explores the investors attitudes towards tax saver funds, with a particular focus on Equity-Linked Savings Schemes (ELSS). The study aims to identify and describe the demographic, financial literacy, behavioral bias and investor satisfaction towards ELSS tax saver. Structured questionnaires were used to gather primary data from a diverse group of investor and secondary data is collected from journals, research scholars and websites of SEBI. The type of research design used in this study is exploratory research design. This study chosen sample size of 160 has been determined using pilot study, hence convenience sampling techniques is used in the survey. Tools used in this study Kruskal Wallis, Mann Whitney and Spearman's rank correlation. The study ends with strategic recommendation fund houses and policymakers to improve investors' awareness in tax saving funds.

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 Keywords

Keywords: Financial literacy, behavioral bias and satisfaction.

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During the 20th century, Chinese literature experienced significant growth within the global diaspora, particularly in regions such as Southeast Asia, the United States, and Europe. One notable figure, Gao Xingjian, who resides in France yet continues to write primarily in Chinese, became the first Chinese diasporic author to be awarded the Nobel Prize in Literature in 2000. For diasporic writers, the portrayal of their homeland often oscillates between critique and nostalgia--China is sometimes depicted as a land marked by violence, poverty, and corruption, while at other times, it is idealized or romanticized. This paper analyses the narratives of displacement excavating the diasporic theme in Ha Jin's select Novels.

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Narratives, diaspora, Ha Jin, homeland, emotion

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Emotion recognition through facial expression has become a significant research area in human-computer interaction. This paper explores the integration of facial recognition technology, emotion detection, and music recommendation systems to create a personalized user experience. By utilizing Python programming language, we develop a system that can analyze facial expressions to determine the user's emotional state and recommend music that aligns with their current mood also discusses the methodology, implementation, and evaluation of the system, highlighting its effectiveness in providing music recommendations based on the user's emotions.

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 Keywords

Emotion Detection, Music Recommendation System, Facial Recognition, Python, User Experience

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 Abstract

Due to their high efficiency, dependability, and low maintenance requirements, brushless DC (BLDC) motors are utilized extensively in industrial automation, electric vehicles, and consumer electronics. However, undetected faults in these motors, such as phase imbalance, bearing wear, rotor misalignment, or overheating--can lead to system failures and costly downtimes. Utilizing the potent capabilities of the ESP32 microcontroller and Internet of Things (IoT) technology, this project proposes an advanced fault detection and identification (FDI) system for BLDC motors. The system continuously monitors key motor parameters such as voltage, current, temperature, and vibration using a combination of analog and digital sensors. Real-time signal processing, anomaly detection, and wireless communication all make use of the ESP32. The microcontroller's lightweight machine learning algorithms and threshold-based logic identify fault conditions, ensuring prompt and accurate fault recognition. Detected faults and operational data are transmitted via Wi-Fi or MQTT protocols to a cloud-based IoT dashboard, enabling real-time remote monitoring, data visualization, and timely notifications through web or mobile interfaces. This approach supports predictive maintenance and enhances overall system reliability. Experimental testing on a BLDC motor testbed substantiates the implementation's efficacy in early fault detection, low-latency communication, and seamless IoT platform integration. The project demonstrates the potential for next-generation motor health monitoring solutions by combining smart diagnostics with embedded IoT.

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 Keywords

1. Fault Detection 2. Fault Identification 3. Brushless DC Motors 4. IoT (Internet of Things) 5. Predictive Maintenance

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 Abstract

A robust road network plays a crucial role in accelerating economic growth by connecting remote regions, enhancing access to markets, schools, and healthcare services, and fostering trade and investment in less developed areas. Roads also enable efficient intermodal transportation by linking key infrastructure such as airports, railway stations, and seaports. However, conventional bituminous surfacing of flexible pavements is energy-intensive, involving the production of bituminous binder from crude oil, drying of aggregates, and manufacturing of the asphalt mix at a hot mix plant (HMP). Hot mix recycling offers an efficient alternative by blending reclaimed asphalt pavement (RAP) with new aggregates and, in some cases, recycling agents to produce hot mix asphalt. When properly designed, these recycled mixtures can match or even exceed the performance of conventional asphalt mixes. Recycling or rejuvenating agents--organic compounds selected for their chemical and physical properties--are used to restore the aged asphalt to its desired specifications.

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 Keywords

Hot mix plant (HMP), Reclaimed asphalt pavement (RAP), Hot in-place recycling (HIR), Cold in-place recycling (CIR), Hot in-plant recycling (HIP), Cold in-plant recycling (CIP), Full depth reclamation (FDR)

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This paper critically examines the phenomenon of media trial, highlighting how the media, in its role as the fourth pillar of democracy, often oversteps its boundaries and undermines the judicial process. Through detailed analysis and case studies like the Jessica Lal and Priyadarshini Mattoo trials, it reveals how excessive media coverage and premature judgments can distort public opinion, jeopardize fair trials, and violate individual rights such as the presumption of innocence. The paper underscores the ethical dilemmas and constitutional tensions between freedom of speech and the right to a fair trial, exploring the limitations of current regulatory mechanisms. While acknowledging the media's role in exposing injustice and catalyzing legal reform, the study warns against its transformation into a "public court" that undermines judicial neutrality. It concludes with a call for a balanced approach--preserving press freedom while ensuring due process, protecting civil liberties, and upholding the sanctity of the legal system.

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Media Trial, Freedom of Press, Right to Fair Trial, Judicial Interference, Public Opinion and Justice

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We find the notion of the triangle in Indian literature for the first time, perhaps, in the Vedas. The terms used are trirasri in the Rigveda and tribhuja in the Atharvaveda. Sulba-sutras were also familiar with important types of triangle - mostly the right-angled triangle. We have discussed here the rules of Bhaskaracharya and Brahmagupta for finding the segment and altitude of the triangles and critically reviewed the rules in terms of modern mathematics.

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 Keywords

Trirasri, Tribhuja, Sulba-sutra, Segment, Altitude.

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 Abstract

Security is always a main concern in every domain, due to a rise in crime rate in a crowded event or suspicious lonely areas. Abnormal detection and monitoring have major applications of computer vision to tackle various problems. Due to the growing demand for the protection of safety, security, and personal properties, the needs and deployment of video surveillance systems can recognize and interpret the scene, and anomaly events play a vital role in intelligence monitoring. This paper implements an automatic gun detection using open cv. Gun violence has become a major cause of distress in the present society. The lack of proper mechanisms to detect and identify weapons in advance results in the increase of the impact caused by gun-related violence. This concept paper presents a study for concealed weapon detection in real time video using Image Processing and openCV and Hear cascade. The proposed system will perform the notification to the respective department followed by opencv detection models.

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 Keywords

Gun Detection, Weapon Detection, Security

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As cyber threats continue to grow in complexity and frequency, traditional intrusion detection systems (IDS) often struggle to keep pace, leading to high false positive rates and missed detections. This dissertation presents an AI-driven approach to optimizing IDS performance by leveraging machine learning and deep learning techniques to enhance detection accuracy, reduce false alarms, and improve adaptability to evolving attack patterns. The study explores multiple AI models, including Random Forest, Decision Trees, Logistic Regression, integrated with advanced optimization techniques such as feature selection and ensemble learning. Using benchmark datasets, the AI-optimized IDS achieved a significant performance improvement compared to traditional systems, with accuracy reaching 95.6%, precision at 94.2%, recall at 96.5%, and an F1 score of 95.3%. The results confirm that AI-enhanced IDS can offer more reliable and intelligent threat detection while minimizing false positives. This research contributes to the growing body of work on intelligent cybersecurity systems and lays the groundwork for future advancements in autonomous and adaptive intrusion detection.

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 Keywords

IDS, intrusion detection system, artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

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Ashika's Style Pvt Ltd is a diversified company with operations in the textile, food, and event management industries under different brand names. With expansion, the function of human resources, especially recruitment, becomes vital in maintaining growth and performance. The article examines the recruitment practices being followed across its divisions, assesses the efficiency of existing practices, conducts employees' feedback, and suggests strategic recommendations for improvement.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ashika's Style Pvt Ltd , recruitment, organizational values, strategic growth, Textile, Food, Events

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Creative Commons Attribution 4.0 and The Open Definition