Manuscripts

Recent Papers

Research Paper

Largest Convex Quadrilateral in a Terrain

This paper discusses my understanding, implementation and analysis of various techniques for finding the largest convex quadrilateral inside a terrain. we present a simple new linear time alogrithm for finding the quadrilateral of largest area contained in a convex polygon. A near quadratic time algorithm to locate a largest area convex quadrilateral inside a terrain is presented in this paper.A terrain is a type of simple polygon that is bounded by:- A monotone polygonal chain (usually the upper or lower boundary), and A straight line segment (usually the base or bottom boundary).It is a subclass of simple monotone polygons and is widely studied in GIS(Geographic information system), data modeling, and computational geometry. In this paper we present a novel algorithm to find a largest area of convex quadrilateral inside a terrain with n vertices that run in O(n log2 n) times.

Published by: Himanshu Kumar Sah

Author: Himanshu Kumar Sah

Paper ID: V11I3-1181

Paper Status: retracted

Submitted: May 16, 2025

Full Details Track Status
Research Paper

Synthesis of Newer Benzotriazol Derivatives for Antibacterial and Antioxidant Potential

In response to pandemics and microbial resistance, novel heterocyclic compound spotent biological activity are needed. A series of (E)-2-(2-((5-(1H-benzo[d][1,2,3]triazol-1-yl)-3- methyl-1-phenyl-1 H-pyrazol-4-methylene(hydrazinyl)-4-(aryl) thiazole derivatives were synthesized via a three- component reaction involving pyrazole-4-carbaldehyde, thio semicarbazide, and substituted phenacyl bromides for antibacterial and antifungal study. Recent health research focuses on multifunctional compounds that interact with multiple biological targets, streamlining multidrug therapies and enhancing patient adherence. This study aimed to develop novel multifunctional chemical entities incorporating a benzothiazole nucleus, a structure widely recognized for its diverse biological activities. Benzothiazole has gained attention due to its role as a scaffold in various multifunctional drugs, making it a promising candidate for innovative therapeutic applications that improve treatment efficacy and simplify pharmaceutical regimens. To combat the growing threat of multi-resistant bacteria, scientists synthesized four benzotriazole and three benzimidazole derivatives using two distinct methods, recognizing the vital role of heterocyclic compounds in medicinal chemistry. These newly developed compounds were then docked with two protein targets, DNA gyrase (PDB ID: 2XCT and 3ILW), to evaluate their binding potential. The effectiveness of these derivatives was compared with standard antibacterial drugs, sparfloxacin and ciprofloxacin. This study aims to identify promising candidates for overcoming bacterial resistance, providing valuable insights into new drug development strategies targeting resistant bacterial strains through advanced molecular docking techniques. Antimicrobial resistance (AMR) is a global health challenge, leading to higher mortality, morbidity, and treatment costs. The World Health Organization (WHO) reported in 2019 that only six out of 32 antibiotics in clinical trials featured innovative novel moieties, while the rest were based on existing compounds. This highlights the urgent need for new antibiotic development to combat resistance. Among promising candidates, benzothiazole derivatives stand out due to their broad spectrum of biological activities and significant medicinal applications. Their potential in drug discovery has gained attention for addressing resistance issues, reinforcing the necessity of developing novel compounds. Advancing research in benzothiazole derivatives may pave the way for effective antimicrobial agents to tackle evolving resistance problems and improve global healthcare outcomes.

Published by: Sheevendra Singh Sibbu

Author: Sheevendra Singh Sibbu

Paper ID: V11I3-1182

Paper Status: published

Published: May 16, 2025

Full Details
Research Paper

Next Step: Find the Next Step in your Career

Choosing the right academic specialisation is a pivotal decision in a student's educational journey and has a profound impact on their future career. However, many students struggle with this choice due to a lack of clarity about their interests, strengths, and the job market relevance of different specialisations. The "Next Step" project aims to bridge this gap by offering a data-driven, survey-based guidance system that helps students identify the most suitable specialization based on their interests and aptitudes. The system utilizes a structured questionnaire designed to assess key personal and cognitive traits, such as analytical thinking, creativity, and technical enthusiasm. Based on the responses, the system suggests the most relevant specialisation, such as Artificial Intelligence, Data Science, or Cybersecurity, and subsequently provides a curated list of corresponding job roles. The solution is implemented as a web application, offering students a seamless and interactive experience while also allowing administrators to manage job role data dynamically. This approach not only improves self-awareness among students but also aligns their academic direction with industry demand, thus reducing the skills gap. The "Next Step" platform exemplifies how interest-based guidance can be transformed into an effective educational tool through the integration of survey methodologies, web technologies, and dynamic data mapping. It lays a scalable foundation for future career guidance systems that are personalized, adaptive, and aligned with real-world opportunities.

Published by: Harshal Patil, Divyansh Dubey, Harsh Singh Parihar, Aditya Upadhye, Shahin Makubhai

Author: Harshal Patil

Paper ID: V11I3-1163

Paper Status: published

Published: May 15, 2025

Full Details
Research Paper

Design and Development of HEV

Hybrid Electric Vehicles (HEVs) represent a transformative advancement in automotive technology aimed at reducing fuel consumption and minimizing environmental impact. The study conducts a comprehensive analysis of various HEV architectures—including series, parallel, and seriesparallel configurations—to identify the most suitable system for optimal performance and effective energy management. Critical components such as electric motors, battery packs, regenerative braking systems, and power electronics are carefully selected and integrated to achieve an optimal balance between efficiency, performance, and cost. Additionally, special emphasis is placed on wheel alignment optimization to improve vehicle stability and reduce rolling resistance. The resulting prototype exhibits a significant improvement in both fuel economy and emission reduction compared to conventional vehicles, underscoring the potential of hybrid technologies in advancing sustainable transportation.

Published by: Vrushali Shankar Rupnawar, Vishwajeet Vikas Gholap, Giram Dhananjay Ram, Rohan Barikrao Rupnawar, Rohan Manohar Shelak, Dnyaneshwar Sukhadev shinde, Adarsh Siddheshwar Jankar, Rutuja Sanjay Dethe, Gaurav Mahadev Deokate, Vrushali Navnath Waghmare

Author: Vrushali Shankar Rupnawar

Paper ID: V11I3-1171

Paper Status: published

Published: May 15, 2025

Full Details
Research Paper

Finger-Print Based Vehicle Starter

The Fingerprint-Based Vehicle Starter system enhances vehicle security by using biometric authentication to control engine access. It replaces traditional keys with a fingerprint sensor, allowing only authorized users to start the vehicle. When a registered fingerprint is detected, the system activates the ignition through a microcontroller. If the fingerprint is unrecognized, the engine remains locked. This method prevents unauthorized access and reduces the risk of theft. The system is reliable, user-friendly, and cost-effective, making it suitable for modern vehicles. It demonstrates the practical use of biometrics in improving automotive safety and access control.

Published by: Gagan D D, Abhilash S G, Kruthika A N, Jnaneshwari G S, Rammurthy D

Author: Gagan D D

Paper ID: V11I3-1172

Paper Status: published

Published: May 15, 2025

Full Details
Research Paper

Instagramming Architecture: The Social Media Revolution in Architectural Photography

This research examines the profound impact of Instagram on architectural photography in the 21st century. Once a professional and editorial endeavor, architectural photography has been transformed by social media into a participatory and highly aestheticized activity. Instagram's algorithm-driven visuals, hashtag culture, and global reach have changed how architecture is captured, consumed, and even designed. This paper explores the visual aesthetics promoted by Instagram, the algorithmic pressures on photographers and designers, and the ethical and cultural consequences of a platform-dominated gaze. Through extensive case studies—ranging from Ricardo Bofill’s Muralla Roja and Thomas Heatherwick’s Vessel to India’s Rani ki Vav and Studio Mumbai’s handcrafted works—the study explores both the creative opportunities and serious challenges introduced by this digital revolution. It argues that while Instagram has broadened the audience for architecture, it has also commodified space and design into fleeting visual content, often at the cost of cultural depth and spatial integrity.

Published by: Sourav M S

Author: Sourav M S

Paper ID: V11I3-1161

Paper Status: published

Published: May 13, 2025

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X