Volume 13 | Issue 4 |

 Abstract

This paper presents an automated waste segregation system designed to classify and sort waste into four categories: metals, glass, plastic, and wet. The system uses a Wifi module, along with a camera module to capture images and sensors to detects the metals and moisture. These images undergo processing to extract important features that help in classification. The classification process is performed using the algorithm YOLO (You only look once) algorithm. which compares these features with a predefined dataset to determine the type of waste materials. Once categorized, the system uses a stepper motor-driven automated sorting mechanism that directs each item into its designated bin, reducing manual labor and ensuring proper waste disposal. By improving classification accuracy and efficiency, this system contributes to a more effective recycling process, making it a promising solution for automated waste management in various applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Waste Segregation, YOLO algorithms, Wifi module, Image Processing, Automated Sorting, Recycling, Sustainable Waste Management.

  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

Underwater mine detection,Rock classification

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an Automated Multi-Size Radiator Cleaning System designed to adapt to various radiator dimensions. The system utilizes a servo-driven ball screw mechanism for precise movement, ensuring thorough cleaning without manual intervention. Advanced sensor-based adaptability allows dynamic path adjustments, optimizing efficiency for different radiator configurations. By integrating automation, this system enhances radiator performance, extends equipment lifespan, and reduces operational costs. Industrial cleaning automation improves operational efficiency, safety, and cost-effectiveness by reducing manual labor, minimizing downtime, and ensuring consistent, high-quality results. Radiators, essential for effective engine cooling, accumulate dust, oil, and debris, leading to performance degradation, overheating, and increased maintenance costs. Conventional cleaning techniques are inefficient, labor-intensive, and inconsistent, making automation a necessary solution.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

radiator cleaning, automation, Servo-Driven Mechanism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cancer is a leading cause of mortality worldwide accounting for almost 13% of death in the world. Cancer is often perceived as a disease that strikes for no apparent reason. While scientists do not yet know all the reasons. Many of the causes of cancer have already been identified beside intrinsic factors such as hereditary diet and hormones etc. Scientific studies point that there are many intrinsic and extrinsic factors that contribute to cancer development. Anti-oxidants are present in our food components which provides preventive measures against Cancer and many other disease conditions. Antioxidants counteract the effects of free radicals and reduces the damage caused by oxidative stress. The excessive free radical formation and oxidative stress are the most common factors responsible for cancer like disease conditions. The only thing is to know about this type of food intake and a healthy life style. Now let us know about the antioxidants, free radicals, and oxidative damages.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Antioxidants, Free radicals, Oxidative damages, Cancer

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Natural dyes made from plants are becoming more and more well-liked because they are sustainable and kind to the environment. In order to dye fabrics using a natural mordant made from banana peels, this study looks into the process of extracting dye from Alkanna tinctoria, also known as alkanet root, an old source of red and purple dyes. The goal of the study is to assess the dyed fabric's colour fastness by putting it through a variety of tests on a hobo bag, such as rubbing, washing, and exposure to sunshine. The banana peel mordant was chosen for its environmentally beneficial qualities, providing a substitute for synthetic mordants, while the alkanet bark was picked for its potential for rich colour. Tannins found in banana peel improve the dye's durability and absorption on textiles, resulting in a vivid yet long-lasting hue. After soaking the alkanet bark in water, the extracted dye was applied to fabric that had already been treated with a banana peel mordant. Several tests of fastness were performed to evaluate the performance of the coloured fabric is sunlight fastness (exposing the cloth to prolonged UV radiation), washing fastness (using various detergents and wash cycles), and rubbing fastness (both dry and wet). The fabric mordanted with banana peel and dyed with alkanet bark demonstrated acceptable to good colour fastness in every test, according to the results. There may be a need for more dyeing process optimization since the dye displayed a moderate resilience to rubbing and sun exposure, with a small fading seen after prolonged washing cycles. This work offers important insights into the feasibility of employing alkanet bark for dyeing using banana peel as a mordant, highlighting the possibilities of integrating natural plant-based dyes and mordants for sustainable textile applications. The encouraging outcomes imply that these natural dyeing methods might be expanded for usage in environmentally aware fashion, particularly in artisanal and handcrafted goods like hobo bags. To achieve industry standards for colour fastness, more research into enhancing the dyed fabrics' durability and vibrancy is advised.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Alkanet bark, Natural dye, Sustainable dye, Rich colour, tie and dye, Handcrafts.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Face morphing attacks pose a significant threat to identity verification systems by seamlessly blending multiple identities into a single facial image. In this paper, we propose a deep learning-based approach for detecting morphed images using a Convolutional Neural Network (CNN) designed to identify GAN-generated artifacts and forensic inconsistencies. Our system dynamically loads or generates a detection model, ensuring adaptability to new morphing techniques. Additionally, we implement image forensics techniques, including noise analysis, edge consistency, JPEG compression artifacts, and hue variation detection, to enhance classification accuracy. A user-friendly graphical interface, developed using Tkinter, provides real-time feedback on the authenticity of an image by displaying real and morphed scores along with detailed forensic analysis. Experimental results demonstrate the effectiveness of our approach in distinguishing real and morphed images, making it a robust solution for face morphing detection in security applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Morphing Detection, GAN-Based Forgery, Convolutional Neural Network (CNN), Image Forensics, Identity Verification, Deep Learning, Morphing Attack Detection, Noise Analysis, Edge Consistency, JPEG Compression Artifacts, Hue Variation, Tkinter GUI, AI-Based Security.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Polycystic Ovary Syndrome (PCOS) is a complex endocrine, metabolic, and genetic disorder affecting women of reproductive age. Conventional treatments often target specific symptoms but come with risks and adverse effects. This review highlights the efficacy of a tea bag formulation containing Ashoka, Shatavari, Lodhra, Guduchi, and Haritki in reducing PCOS symptoms. These herbs improve ovarian morphology, lower hyperandrogenism, and exhibit hypoglycemic, anti-obesity, and hormone-regulating qualities. The tea bag formulation offers a safe, effective, and convenient management strategy for PCOS, with no documented adverse effects. This review aims to compile existing research on the use of herbal formulations, particularly the tea bag formulation, as a supplemental management strategy for PCOS.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PCOS, herbal formulation, tea bag, Ashoka, Shatavari, Lodhra, Guduchi, Haritki.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Microfinance is often viewed as a catalyst for poverty reduction and inclusive growth, yet its true impact at the grassroots level remains contested. This study explores the socio-economic outcomes of microfinance participation in two active districts of West Bengal--North 24 Parganas and Hooghly. Focusing on 100 beneficiaries, primary data was collected through structured questionnaires and analyzed using SPSS, employing descriptive statistics, Chi-Square tests, and logistic regression. The study examines income generation and employment, women empowerment, savings and asset creation, access to basic amenities, and challenges faced by users. Findings indicate that long-term MFI involvement positively influences income levels, employment opportunities, financial independence among women, and access to essential services. However, issues such as limited financial literacy, uneven impact, and persistent debt remain challenges. The study recommends targeted interventions, enhanced borrower education, and inclusive strategies to optimize the developmental impact of microfinance institutions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MFI, Socio-economic Impact, Poverty alleviation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Autobiography becomes a way of testifying to oppression and empowering the subject through their cultural inscription and recognition. The idea that autobiography can become the text of the oppressed, articulating through one person's experience, and experience which may be representative of a particular marginalized group, is an important one. Autobiography helps us to analyze the experiences and attitudes of a person. It is a sociological documentation of subjective experiences. It is the product of the surrounding in which the writer comes up and grown up. Indian women autobiographies express their social, political, economic and psychological struggle and their experiences throughout their life journey. In this research paper M.C. Mary Kom, Rtd. Lft. Gunjan Saxena, Indira Gandhi, Kamala Das, Sania Nehwal, Kiran Bedi, Kamala Markandaya ,Indira Goswani all this extraordinary women's autobiographical writing analyzed in detailed. This all autobiographical writing represents the fight of the self to create order out of random experiences and often mix arguments of history and culture.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity, women Empowerment, Gender Study, Culture, Psychoanalytical analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an automated queue management and prediction system designed to mitigate prolonged wait times in hospital settings. Leveraging machine learning, data science, and IoT technologies, the system utilizes RFID tag-sensors to capture real-time patient service process data. We compare various simulation and prediction techniques, including Random Forest, Monte Carlo simulation, Queue Theory, and statistical methods, to accurately predict queue wait times. The system integrates a Raspberry Pi for data processing, NodeMCU for wireless transmission, a MySQL database for data storage, and a Java Swing GUI for real-time monitoring. By automating data collection and providing accurate wait time predictions, this system aims to enhance patient experience, improve hospital efficiency, and optimize resource allocation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RFID, Queue Theory, Raspberry Pi, NodeMCU, MySQL, IoT

  License

Creative Commons Attribution 4.0 and The Open Definition