Authors: Ashish Siddharth Kokare, Ayushraj Ashok Ankush, Aadarsh Rajesh Kamble, Punit Krishna Fasage

Abstract: Women Visitors arrive unannounced. Sometimes welcome, sometimes not. We built a doormat that watches. Raspberry Pi 4B+ waits quietly. Pressure sensor under mat feels weight, sends signal, system wakes. Telegram fires to owner: "Someone at door." Servo rotates camera, captures face, transmits image. Remote eyes where none existed. No subscription, no cloud lock-in, no monthly fees. Telegram free, Pi owned, code open. Cost under ₹5,000, works on any door, alerts any phone. Continuous monitoring eliminated—mat sleeps, Pi dozes, power sips. Only presence triggers, only relevance notifies. Smart because selective, not because complex.

DOI: https://doi.org/10.5281/zenodo.18786973

Published by: vikaspatanker

Authors: Dr. Suman Dhawan

Abstract: Faculty development programs (FDPs) have emerged as a strategic intervention in the scenario of higher learning in India. In fact, FDPs and their nexus with career advancement would be less meaningful in the absence of their continued relevance to the academic requirements of the faculty. This study is aimed at re-examining faculty development programs in the framework of their ‘relevance’ to the challenges in the arena of higher learning. In the research, the authors carried out an in-depth analysis of the alignment of FDPs with the needs of the faculty in the domain of teaching, research, the use of technologies, professional growth, and the need for national development. For the paper, the authors used empirical data obtained from Orientation and Refresher programmes conducted by the Academic Staff Colleges in Delhi. In the concluding part of the paper, the authors propose suggestions that can improve the relevance of FDPs in the changing scenario of higher education in the country.

 

 

Published by: vikaspatanker

Authors: G. Lavanya, B. Balaki, Dr. Bhuvana. R

Abstract: Skin diseases are among the most common health problems worldwide, affecting individuals regardless of age, gender, or geographical location. Early detection and appropriate treatment are essential to prevent complications and psychological distress. However, limited access to dermatologists, especially in rural and underserved areas, delays timely diagnosis. This paper presents SkinGuard AI, a deep learning-based dermatology assistant that utilizes a Convolutional Neural Network (CNN) for image-based skin disease classification. The system enables users to upload images of affected skin areas through a web interface, where the images are preprocessed and analyzed using a trained CNN model. The system predicts the disease category along with a confidence score and provides personalized treatment recommendations. Additionally, it integrates an intelligent chatbot for interactive assistance and an automated email notification module to send diagnostic reports to registered guardians. The proposed solution enhances accessibility, reduces dependency on immediate hospital visits, and provides cost-effective preliminary dermatology support. Experimental results demonstrate high classification accuracy and reliable real-time performance.

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Published by: vikaspatanker

Authors: Dave A. Camuta, Bryan B. Ortouste, Jen Rose A. Limentang, Krisha Nicole G. Bacolod, Jesson H. Cinto

Abstract: This study focused on developing a biodegradable food wrapper CalaSSAG, made from bio-based materials such as calamansi peel powder, starch, sodium alginate, and glycerol. The research aimed on making an alternative to plastic packaging that causes pollution. Calamansi is responsible for antimicrobial and antifungal properties. An experimental design was used to test how durable and thick the CalaSSAG bioplastic wrapper was, using three different concentrations of calamansi peel powder, 50%, 75%, and 100%. Testing its thickness and tensile strength. The results showed that the 100% calamansi mixture made the wrapper (1.26 mm), while the 50% mixture had the highest tensile strength (0.165 MPa). However, the control group was stronger than the alternative experimental group in terms of tensile strength with a tensile strength of 3.33 MPa. Statistical analysis using ANOVA confirmed that there is a significant difference in mean tensive strength among CalaSSAG bioplastic wrapper containing varying proportions of calamansi powder and commercially produced plastic wrapper. CalaSSAG was not as strong as the traditional control group, it showed to be flexible, biodegradable, and made from natural materials. It offers a safer, eco-friendly choice for food packaging. Future research is advised to test the antifungal properties of calamansi in the wrapper and its real-time application. CalaSSAG shows potential in reducing plastic pollution and waste.

DOI: https://doi.org/10.5281/zenodo.18781357

 

Published by: vikaspatanker

Authors: Divya Ravindra kshirsagar, Dr. Ansari U.S

Abstract: Eanhquakes pose a significant threat to the safety and stability of built structures. making seismic performance evaluation an essential aspect of modern structural engineering. Steel buildings, known for their high ductility, strength-to-weight ratio, and superior energy dissipation capacity, have emerged as a preferred solution in seismic regions. This study investigates the seismic behavior of a multi-storey steel building using advanced analytical tools and codal provisions, with the objective of understanding its dynamic response under earthquake loading. A derailed 3D structural model was developed using ETABS/STAAD Pro, and seismic forces were evaluated in accordance with IS 1893:2016, while member design considerations followed IS 800:2007. Response Spectrum Analysis (RSA) and Time—History Analysis (THA) were performed to assess critical parameters such as base shear, storey drift, lateral displacement, and structural stability. The results highlight the significance of structural configuration, bracing system selection, and stiffness distribution in determining overall seismic performance. Observed trends indicate that proper detailing and optimized member design substantially improve ductility and reduce seismic demand. The study provides valuable insights into the dynamic characteristics of steel buildings and offers recommendations for enhancing seismic resilience through performance-based design. The findings contribute to safer, more efficient, and code-compliant steel construction in earthquake-prone areas.

 

 

Published by: vikaspatanker

Authors: Nagender Yamsani

Abstract: This study examines the growing need to embed intelligence directly into master data platforms to improve regulatory compliance, operational transparency, and data quality monitoring in complex enterprise environments. Organizations increasingly struggle to maintain consistent governance and audit readiness as data volumes expand across distributed systems, creating a research problem centered on how artificial intelligence and structured evidence mapping can enhance visibility and decision support. The purpose of this research is to develop and evaluate a framework that integrates AI enabled dashboards with master data governance workflows to support continuous compliance and quality assurance. A mixed methodological approach was applied, combining evidence mapping of prior governance and analytics models with architectural synthesis and scenario based evaluation in enterprise data management contexts. The findings demonstrate that intelligent dashboards, when supported by automated metadata analysis, anomaly detection, and lineage driven monitoring, significantly improve detection of data quality risks, accelerate audit preparation, and enhance stewardship effectiveness. The study introduces an architectural model that aligns monitoring, policy enforcement, and predictive analytics within a unified governance layer. These contributions extend existing research in data governance and enterprise analytics by providing a practical and scalable design framework. The results highlight the strategic importance of integrating intelligence into master data platforms, offering guidance for industry practitioners and establishing a foundation for further academic research on autonomous governance and continuous data assurance.

DOI: https://doi.org/10.5281/zenodo.18770933

 

Published by: vikaspatanker

Authors: Tanvi Ramkumar Sunewad, Shahin Tanvir Shaikh, Divya Hemant Dhende, Diksha Datta Jethe

Abstract: Paralysis is a debilitating condition that significantly impairs a patient’s ability to move and communicate, often resulting from neurological disorders, spinal cord injuries, or diseases such as stroke. According to the World Health Organization, stroke and related neurological conditions are among the leading causes of long-term disability worldwide, emphasizing the need for continuous and reliable patient monitoring systems. The Paralysis Patient Health Care Monitoring System is an advanced, technology-driven solution designed to continuously monitor the vital parameters and safety of paralyzed patients in hospitals or home environments. The system integrates biomedical sensors to track essential health indicators such as heart rate, body temperature, blood pressure, oxygen saturation (SpO₂), and movement detection. These parameters are processed through a microcontroller-based unit and transmitted via wireless communication modules to caregivers or medical professionals in real time. The proposed system also incorporates emergency alert mechanisms, enabling patients to communicate distress signals through minimal physical input, such as eye blink detection or slight finger movement sensors. In critical situations, automated notifications are sent to caregivers or healthcare providers to ensure immediate medical intervention. Data collected by the system can be stored in a cloud-based database for continuous analysis, enabling long-term health trend monitoring and improved clinical decision-making. The system enhances patient safety, reduces the burden on caregivers, and supports timely medical response, ultimately improving the quality of life for paralysis patients. In conclusion, the Paralysis Patient Health Care Monitoring System provides an efficient, reliable, and cost-effective approach to continuous health monitoring, promoting better patient outcomes through real-time data tracking, remote accessibility, and intelligent alert mechanisms.

DOI: https://doi.org/10.5281/zenodo.18769831

 

Published by: vikaspatanker

Authors: Ketaki Nanaware, Vedant Dhopate, Atharv Hapse

Abstract: This research paper details the creation of a versatile smart IoT device using the ESP32 microcontroller, MIT App Inventor, and Google Firebase. The device integrates multiple interfaces for real-time data collection, processing, and control, making it ideal for applications in smart homes, industrial automation, and environmental monitoring. The ESP32 handles sensor data (e.g., temperature and humidity) and communicates with Google Firebase for real-time data storage. Users interact through a mobile app developed with MIT App Inventor, which allows monitoring, configuration, and control of connected devices, such as motors. The system also employs MDNS and HTTP servers for efficient local network communication. Key features include dynamic data collection, real-time visualization on the mobile app, and remote device control. The integration with Firebase ensures scalability and secure data handling. This IoT solution demonstrates flexibility and potential for diverse applications, with future enhancements possible through additional sensors and advanced analytics.

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Published by: vikaspatanker

Authors: Khodke Pawan Rajendra, Prof. Dr.U.S.Ansari

Abstract: Offshore steel fixed jacket platforms are essential structural systems that support exploration and production operations in harsh marine environments. These platforms are subjected to complex and fluctuating environmental loads, including wind, waves, currents, and seismic forces, which significantly influence their stability and long-term performance. Bracing systems play a crucial role in enhancing lateral stiffness, improving load distribution, and reducing structural deformations in offshore jackets. This study investigates the structural behaviour of offshore steel fixed jacket platforms equipped with different bracing configurations using SAP 2000. A detailed finite element model was developed, incorporating realistic material properties, geometric parameters, and environmental load combinations based on standard design codes. Static and dynamic analyses were performed to evaluate displacement, base shear, stress distribution, natural frequency, and overall stiffness under combined environmental loading. The comparative assessment revealed notable differences in performance among various bracing layouts, with some configurations demonstrating superior resistance to deformation and improved stability. The study emphasizes the importance of selecting an optimal bracing system to enhance the safety, reliability, and efficiency of jacket platforms. The findings provide valuable insights for design optimization and contribute to the advancement of offshore structural engineering practices.

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Published by: vikaspatanker

Authors: Dr. Priyanka B. Shingade

Abstract: Positivity questions occupy a central place in algebraic combinatory: given a naturally occurring symmetric or quasisymmetric, or polynomial function, when does it expand with nonnegative coefficients in a preferred basis monomial, elementary, Schurz, etc. This survey/research-style paper organizes classical and recent positivity problems, summarizes principal techniques, records key breakthroughs, and lists open conjectures and directions. We emphasize (i) classical positivity phenomena Littlewoods–Richardson, Schurz- and e- positivity, (ii) structural conjectures such as the Stanley–Stem bridge and Macdonald positivity problems and their recent status, (iii) positivity for representation-theoretic multiplicities Kroenke, platysma, and (iv) modern tools that have proved or advanced these questions. We close with a curated bibliography of key references and suggested research directions.

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Published by: vikaspatanker