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ABSTRACT

DR. PANKAJA S. INGLE

ABSTRACT

This paper investigates Mahesh Dattani's renowned play, "Bravely Fought the Queen," from a feminist perspective, aiming to unravel its portrayal of female characters and its treatment of gender issues within the context of Indian society. The analysis seeks to uncover how the play defies conventional gender norms and empowers its female protagonists, thereby presenting a nuanced and thought-provoking view of feminism in Indian theatre. At the heart of "Bravely Fought the Queen" is the character of Dolly, a woman who defies societal expectations and navigates the complexities of her identity and agency. Through Alka’s journey, the play challenges the audience to re-examine their perceptions of femininity and women's roles in society. The protagonist’s defiance of traditional gender roles and her pursuit of personal freedom serve as a powerful statement against the constraints imposed on women by a patriarchal society.

DR. VIBHATI V. KULKARNI & RAKSHA D. WAGHMARE

ABSTRACT

This paper investigates various views of the novel I Too Had A Love Story by Ravinder Singh. Ravinder Singh’s (February 4, 1982) first autobiographical novel is I Too Had A Love Story. It is full of his emotions and unconditional love for Khushi who is known to him through matrimonial website. His novels have themes like emotion, care, romantic relationships, personal tragedy, friendships, marriage, sexuality, family, conflict, among other topics. He especially wrote about tragedies in his life. Young adult narrative writer Ravinder Singh reveals several social issues, including true unconditional love family conflicts, relationship problems and the sentiment of warmth in his writings. I Too Had A Love Story is a tribute to Ravinder’s girlfriend who died before their engagement the story suggests that not all love stories are meant to have a seamless ending.  I Too Had A Love Story is one such immortal saga. This heartbreaking true life story has already touched a million hearts. It is the tender and heartfelt tale of Ravin and Khushi, two people who find each other on and fall in a matrimonial site love, until life puts their love to the ultimate test.

DR. MAGAN P. GHATULE; DR. KAILASH ASERI; VARSHA GHATULE; SUDHIR J. JOSHI

ABSTRACT

The research paper titled "Enhanced Anti-Theft System (EATS) based Robber Notification using theft image correction: A Fuzzy Logic Technique (FLT)" delineates an innovative approach towards boosting security measures against theft incidents. Traditional security systems often struggle with accurately identifying thieves due to image distortions and environmental factors. In this case, the captured images of the theft are sometimes not correct or raw in nature due to surrounding disturbances or limitations in digital device sensing. Image correction refers to the process of refining theft images so that humans can observe a clear vision of the theft. The paper introduces the Enhanced Anti-Theft System (EATS), which integrates advanced detection of motion of the theft and their activity at the place of theft, such as shops, homes, ATMs, etc. The research paper proposes the need for theft image processing and the development of a system or algorithm to obtain appropriate results compared to traditional image processing systems.

SUDHIR J. JOSHI, DR. MAGAN P. GHATULE, DR. SONAL SINGLA

ABSTRACT

The paper presents an investigation into image segmentation techniques, crucial for tasks like object recognition, utilizing two complementary approaches: Self-Adaptive Mapping Segmentation Technique (SAMST) and Fuzzy C-Means Technique (FCMT). These methodologies aim to enhance segmentation accuracy and quality, particularly for complicated images. The study investigates into comparing image processing methods adapted for specific applications like analysis of medical and accident images against conventional techniques. SAMST, integrating RGB and YIQ color spaces, dynamically detects primary colors in images, adapting to image characteristics to improve segmentation results by efficiently handling color and texture profiles.

However, Self-Adaptive Mapping Segmentation Technique (SAMST) faces challenges such as performance discrepancies and unclear results, addressed by the introduction of fuzzy logic. Fuzzy C-Means Technique (FCMT) extends its segmentation ability by incorporating fuzzy logic, offering a more robust and adaptive process compared to SAMST, especially in scenarios characterized by uncertainty and ambiguity. The study evaluates these techniques using various image sets, highlighting fuzzy logic's advantages such as noise robustness, ambiguity handling, and scalability. Comparative analysis reveals functional differences: SAMST offers flexibility and dynamic cluster adjustment potentially leading to better image quality but with a higher error risk, while FCMT provides reliable results with higher confidence value. Both techniques demonstrate effectiveness in image segmentation, each with its strengths and applicability to different scenarios and quality metrics. This paper suggests possibilities for further development and validation of SAMST and FCMT, proposing their extension to diverse real-world applications beyond medical and accident analysis, emphasizing continual enhancement of image segmentation techniques to overcome majority difficulties by use of fuzzy logic technique.

Keywords: Image segmentation, SAMST, FCMT, cluster, fuzzy, FL.