Daily Archives: June 24, 2026

Authors: Assistant Professor Dilip Badrinarayan Soni, Dr. Hariom Singh Tomar

Abstract: An inevitable issue with integrative alternative healthcare systems (IAHS) is that although clinical reasoning is fuzzy, qualitative, and dependent on the practitioner's expertise, current evidence-based requirements mandate a precise and quantifiable approach. This paper proposes a new framework for decision making within IAHS using fuzzy logic by considering the fuzzy nature of Ayurvedic doshas, TCM meridians, and constitutional types within naturopathy. In this regard, we propose a hierarchical structure of fuzzy inference systems (FISs) containing 27 rules that map qualitative input statements ("Vata moderately high," "Qi slightly weak") to recommendations of therapy along with an MCDM process using the Fuzzy TOPSIS algorithm for treatment prioritization. Applied to clinical information from 180 patients suffering from metabolic syndrome, our system yields a consensus with an expert panel of 86.4% (κ=0.82), while decreasing variability in prescription by 58% in comparison with unassisted practitioners.

DOI: https://doi.org/10.5281/zenodo.20829144

Published by: vikaspatanker

Authors: Assistant Professor Dilip Badrinarayan Soni, Dr. Hariom Singh Tomar

Abstract: Personalized alternative medicine holds substantial promise for holistic healthcare; however, systematic optimization of multi-herb, multi-target interventions is still an open problem in terms of computational difficulties associated with combinatorics, nonlinearity, and individual differences. This paper develops a comprehensive mathematical optimization approach to personalized alternative medicine interventions by combining three approaches: evolutionary algorithms to optimize prescription of herbs, reinforcement learning to adapt the therapy, and Bayesian multidimensional hierarchical models to characterize patients’ responses to the medication. The effectiveness of the proposed optimization framework is validated through experimental analysis utilizing clinical records from traditional Chinese medicine (n=5,216). It is found that the optimized prescriptions with the use of evolutionary algorithms result in 28.5% higher effectiveness than the conventional methods (95% CI: 18.7-37.3%).

DOI: https://doi.org/10.5281/zenodo.20828820

Published by: vikaspatanker

Authors: Gowda Yashvi Manjunath, Ranjitha H, Impana P.S, Assistant Professor Chaithra K

Abstract: Road safety is a very important problem in today’s transportation systems. Rear-end collisions are among the most frequent and dangerous accidents on highways and city streets. The paper proposes a MATLAB based simulation of an intelligent obstacle detection and autonomous lane changing system for collision avoidance. We consider a scenario where an ego vehicle drives on a two-lane road and continuously observes a slower vehicle in front and a fast-approaching vehicle in the adjacent lane. The system features front obstacle detection, blind spot monitoring, adaptive speed control, and smooth lane-change execution based on a rule-based decision-making algorithm. When the vehicle in front enters the pre-set detection range of 45 m, the system checks the side lane for safety before beginning an overtaking maneuver. In case of a detected speed-risk vehicle in the blind spot zone, the lane change is delayed, and a warning alert is issued. Simulation results show successful collision avoidance, safe gap maintenance, and smooth overtaking operations, validating the effectiveness of the system as a simplified Advanced Driver Assistance System (ADAS) prototype. Index Terms — Collision prevention, lane change, blind spot detection, ADAS, V2V communication, obstacle detection, MATLAB simulation.

Published by: vikaspatanker

Authors: Rajendra S. Dhake, Vinod S. Khairnar, Rajkumar D. Rajkuvar, Sanika Hingalkar

Abstract: The dielectric response of soils is influenced by multiple factors including electromagnetic frequency, volumetric moisture content, soil composition, internal geometry of components and electrochemical interactions. These effects were characterized using the infinite sample technique to determine the real (ε/) and imaginary (ε//) parameters of the complex permittivity (ε*) of soils with different moisture contents. Measurements were conducted using an X-band microwave test bench operating at 9.44 GHz in the TE10 mode with a crystal detector and a slotted section. This configuration enables precise determination of dielectric parameters for bulk soil specimens. The observed behavior of ε/ and ε// shows an initially modest rise with increasing moisture followed by a pronounced increase at higher water contents, reflecting the strong influence of water on dielectric properties at microwave frequencies. Derived quantities such as a.c. electrical conductivity and dielectric relaxation times were also extracted from the permittivity data. The results demonstrate significant alterations in the electrical properties between dry and moist soils, with notable dependence on soil texture. These observations aid in interpreting ground-penetrating radar signatures and in the calibration of both active and passive microwave remote sensing systems.

DOI: http://doi.org/10.5281/zenodo.20825704

Published by: vikaspatanker

Authors: Shukracharya S. Gore, Apeksha R. Malunjkar, Gauri S. Lonare, Manasi R. Mahajan

Abstract: Digital notice board systems have emerged as an efficient alternative to traditional paper-based information dissemination methods. By enabling real-time message updates, such systems improve communication efficiency in educational institution, offices and public spaces. This project presents the design and implementation of a Raspberry Pi based Android application controlled digital display notice board that allows wireless transmission of notices using Bluetooth communication. The proposed system integrates an Android application with voice-to-text functionality, enabling users to input messages through speech, which are then converted into text and transmitted to the Raspberry Pi. Despite the advantages of digital notice boards, challenges such as reliable wireless communication, real-time data processing, system scalability and secure access control must be addressed. Bluetooth-based communication, while cost-effective and suitable for offline operation, is limited by range and device pairing constraints. Additionally, handling dynamic message updates and ensuring smooth system performance require efficient software design and robust hardware integration. The Raspberry Pi zero 2W saves as the central processing unit, leveraging Python-based scripts to manage incoming data and display operations through an HDMI-connects screen. Despite these challenges, addressing them through improved modelling techniques, automated data collection, and interdisciplinary collaboration can significantly enhance the effectiveness of software testing and support more informed decision-making.

DOI: http://doi.org/10.5281/zenodo.20825638

Published by: vikaspatanker