Category Archives: Uncategorized

Authors: Alexander Stewart, Elizabeth Watson, Hannah Richardson, Isabella Foster, Chaitanya Srinivas, Rishi Kumar

Abstract: Enterprise risk intelligence has become a critical component of modern digital enterprises due to the increasing complexity of financial transactions, cybersecurity threats, operational uncertainties, and rapidly changing market conditions. Traditional risk management systems often struggle to process large volumes of dynamic data in real time, resulting in delayed decision-making and limited operational visibility. Real-time event-driven processing provides an advanced architectural approach that enables organizations to capture, analyze, and respond to critical business events instantly through distributed data streaming and intelligent automation technologies. This research paper explores the integration of event-driven architectures, real-time analytics, cloud-native computing, and microservice-based systems to enhance enterprise risk intelligence capabilities across financial and operational environments. The study examines the role of event brokers, stream processing platforms, API-driven communication, artificial intelligence, and machine learning in detecting anomalies, predicting risks, and supporting rapid operational decisions. Furthermore, the paper discusses scalability, resilience, low-latency processing, and security mechanisms required for high-performance enterprise risk management systems. Challenges related to distributed system coordination, data consistency, compliance requirements, and observability are also analyzed. Through comprehensive evaluation and industry-focused insights, the research demonstrates how real-time event-driven processing improves organizational agility, operational efficiency, proactive risk mitigation, and intelligent enterprise decision-making in modern digital ecosystems.

DOI: http://doi.org/10.5281/zenodo.20608245

Published by: vikaspatanker

Authors: Jonathan Parker, Abigail Stewart, Christopher Allen, Natalie Simmons, Chaitanya Srinivas, Rishi Kumar

Abstract: High-throughput financial systems are becoming essential for modern banking, digital payments, stock trading, insurance platforms, and fintech applications that demand real-time processing, scalability, reliability, and secure transaction management. Traditional monolithic architectures often struggle to handle massive transaction volumes, rapid scalability requirements, and continuous service availability in highly dynamic financial environments. Microservice architectures provide an effective solution by decomposing complex financial applications into independently deployable, loosely coupled services that improve agility, fault isolation, scalability, and continuous delivery. This paper explores the role of microservice architectures in enabling high-throughput financial systems by examining core architectural principles, distributed transaction management, event-driven communication, API gateways, containerization, orchestration, and real-time data streaming technologies. The study also highlights the integration of cloud computing, DevOps practices, and resilient messaging systems to achieve enhanced performance, low latency, and operational efficiency in enterprise financial ecosystems. Furthermore, the paper discusses major challenges including security vulnerabilities, data consistency, service coordination, compliance requirements, and monitoring complexities in distributed environments. Through analytical evaluation and industry-oriented insights, the research demonstrates how microservice-powered financial platforms can support millions of concurrent transactions while ensuring scalability, resilience, maintainability, and business continuity in modern digital finance infrastructures.

DOI: http://doi.org/10.5281/zenodo.20608047

Published by: vikaspatanker

Authors: Sophia Bennett, Ethan Walker, Grace Phillips, Daniel Mitchell, Chaitanya Srinivas, Rishi Kumar

Abstract: The rapid growth of digital enterprises, cloud-native technologies, and real-time analytics has significantly increased the demand for resilient data streaming architectures capable of processing high-volume, low-latency data across distributed environments. Modern enterprise transformation initiatives rely heavily on real-time streaming platforms to support intelligent decision-making, operational automation, predictive analytics, and continuous business monitoring. This research examines resilient real-time streaming architectures designed to enhance enterprise scalability, fault tolerance, operational continuity, and data-driven decision systems within dynamic cloud ecosystems. The study explores core streaming technologies including Apache Kafka, event-driven architectures, distributed messaging systems, stream processing frameworks, and cloud-native orchestration platforms that enable reliable real-time data movement across enterprise infrastructures. Particular emphasis is placed on architectural resilience mechanisms such as replication, partitioning, load balancing, failover recovery, observability, and distributed fault management that ensure uninterrupted data processing and high system availability. The research further investigates governance, security, and compliance considerations associated with enterprise streaming environments, including data integrity, access control, encryption, monitoring, and operational governance within multi-cloud and hybrid infrastructures. Evidence mapping techniques are utilized to analyze deployment strategies, operational performance, scalability patterns, and resilience contributions of modern streaming architectures across enterprise domains such as finance, healthcare, retail, telecommunications, and industrial automation. The findings demonstrate that resilient streaming frameworks significantly improve organizational agility, operational intelligence, business continuity, and real-time decision capabilities while enabling enterprises to accelerate digital transformation and maintain competitive advantage in rapidly evolving technological environments.

DOI: http://doi.org/10.5281/zenodo.20607778

Published by: vikaspatanker

Authors: William Turner, Charlotte Evans, Benjamin Lewis, Amelia Scott, Chaitanya Srinivas, Rishi Kumar

Abstract: The rapid adoption of cloud-native technologies and distributed enterprise systems has significantly accelerated the deployment of microservice architectures across highly regulated industries such as finance, healthcare, insurance, and government sectors. While microservices improve scalability, agility, operational flexibility, and continuous service delivery, they also introduce complex governance, security, compliance, and interoperability challenges that organizations must address to maintain regulatory integrity and operational resilience. This research examines the role of platform governance frameworks in managing regulated microservice architectures by analyzing governance mechanisms related to policy enforcement, identity and access management, API security, compliance automation, service observability, risk management, and operational accountability. The study further investigates how governance platforms support secure communication, workload isolation, auditability, and continuous compliance validation within cloud-native ecosystems operating under regulations such as GDPR, HIPAA, PCI DSS, and ISO/IEC 27001. Evidence mapping techniques are utilized to evaluate governance contributions across enterprise microservice environments and identify emerging best practices that improve service reliability, cybersecurity resilience, and regulatory alignment. The findings demonstrate that integrated governance frameworks combined with automation, Zero Trust principles, and continuous monitoring capabilities significantly enhance organizational ability to manage distributed microservice infrastructures securely and efficiently. The research highlights the strategic importance of governance-driven architectures in enabling scalable digital transformation while ensuring compliance, operational transparency, and long-term enterprise sustainability in modern regulated environments.

DOI: http://doi.org/10.5281/zenodo.20607626

Published by: vikaspatanker

Authors: Rakibul Hasan Amin, Mohammad Mehedi Hasan, Mohammad Shah Alam Chowdhury, Md. Raidul Islam, Rakibul Islam, Syed Tamzid Ahmed

Abstract: Fishing communities constitute one of the most vulnerable socio-economic groups in Bangladesh, relying heavily on natural water resources for their livelihood and survival. Despite their significant contribution to local economies and food security, these communities often face numerous human rights challenges, including poverty, limited access to education and healthcare, inadequate housing facilities, occupational hazards, social exclusion, and restricted access to government welfare programs. The present study examines the human rights conditions of fishing communities residing in the Mawa-Munshiganj region of Bangladesh. The research explores the extent to which fundamental human rights, such as the right to education, health, livelihood, social security, and a dignified standard of living, are ensured among the fisher folk population. A mixed-method research design was employed, and primary data were collected from 100 fishermen through structured questionnaires, interviews, and focus group discussions. The findings reveal widespread deprivation in several dimensions of human rights, affecting both male and female members of the fishing community. Major challenges identified include food insecurity, inadequate access to healthcare services, limited awareness of legal rights, and vulnerability to harassment and exploitation. While 62 percent of the respondents reported receiving some form of government assistance during fishing ban periods, the support was often insufficient to meet their livelihood needs. Furthermore, the study found that approximately 80 percent of the respondents were illiterate, highlighting the community’s educational disadvantages. The study concludes that fishing communities in the Mawa-Munshiganj region continue to face significant socio-economic and human rights challenges. Based on the empirical findings, the research offers policy recommendations aimed at improving their living conditions, strengthening social protection measures, enhancing access to education and healthcare, and promoting the overall welfare and human rights of riverine fishing communities in Munshiganj.

DOI: http://doi.org/10.5281/zenodo.20604876

Published by: vikaspatanker

Authors: Pankaj Kumar Rai, P. N. Ahirwar

Abstract: Development of residual stresses during additive manufacturing (AM) imposes challenges on functionality and performance of the component. Being able to predict, measure and reduce residual stress by proper post processing will prevent pre-mature failure of the components. In this study finite element package of ANSYS software is employed to predict residual stress, distortion, melt pool dimensions and thermal history for the powder bed fusion (PBF) process of AM. Experimental validation of the residual stress predicted by the numerical modeling were carried out on additively manufactured coupon through X-ray diffraction. A small compressive residual stress on the top surface of the coupon is determined by both the experimental and numerical approach contradicting the reported work of tensile residual stress on the top surface.

DOI: http://doi.org/10.5281/zenodo.20592906

Published by: vikaspatanker

Authors: Ms. Snehal Kadbhane, Ms. Bhagyashri Shankar Thorbole, Ms.Nikita Sanjay Pachange, Dr. Vijaykumar Kale, Dr. Mahesh Thakare

Abstract: In this study, making of polyherbal candy for treatment of Dengue is the primary goal, using natural ingredient to treat the dengue fever and boost the immunity against Dengue. Dengue fever is a flu-like illness transmitted by female mosquitos of the Aedes aegypti species. Another name for it in Ayurveda is dandaka jwara. It is particularly prevalent in tropical and subtropical climate zones worldwide. Common symptoms of dengue include vomiting, a strong headache, nausea, rashes, joint discomfort, pain behind the eyes, muscular pain, and enlarged glands. Platelets play a crucial role in blood coagulation. During the course of their infection, DENV [Dengue Virus] patients frequently experience thrombocytopenia, making them susceptible to bleeding symptoms and other serious consequences. It also causes bone marrow depression and reduces platelet production. The active constituent carica papaya which increasing the number of platelet count and it shows the Anti-inflammatory and Anti-viral activity. Giloy sativa increases platelet count and speeds up the recovery process and also during dengue fever helps to strengthen the immune system. Other ingredients in formulation such as Sugar, Gum acacia, Lemon juice, Beetroot (powder) helps in reducing dengue symptoms, such as fever and pain, and improving patient outcomes. The development of herbal candies for dengue therapy is a novel and promising approach to disease management, with potential advantages for both patients and healthcare systems.

Published by: vikaspatanker

Authors: Prof. Krishna Rathi, Wanjare Vishakha, Shinde Arati, Jadhav Sneha

Abstract: This paper explains the design and development of an IoT-based dog daycare robot that can automatically provide food and water to pets. The proposed system uses a Raspberry Pi Zero as the main controller, which connects to the internet and allows users to control the system remotely using a mobile application or web interface. A servo motor is used to dispense a fixed quantity of food, ensuring proper portion control. A relay-controlled submersible pump is used to supply water when required. In automatic mode, feeding can be scheduled at fixed times. It shows how IoT technology can be used to solve real-life problems and improve pet care.

DOI: http://doi.org/10.5281/zenodo.20589670

Published by: vikaspatanker

Authors: R Gayathri, Rohith V, M Mugilvannan

Abstract: Sophisticated assailants outperform human defenders in today's cyber networks. This project introduces AEGIS, an end-to-end autonomous cyber operations system that integrates Large Language Models (LLMs) with Multi-Agent Deep Reinforcement Learning (MADRL) within the CybORG++ environment to overcome human latency and inflexible rule-based systems. AEGIS competes in a zero-sum game between an autonomous Blue Agent defense (Microsoft Phi-3.5-mini) and a Red Agent attacker (Qwen2.5-Coder-3B) using an Independent Learners technique under Decentralized Training and Decentralized Execution (DTDE). The system has a fully integrated 7-level progressive training pipeline with threshold-separated ChromaDB episodic memories, prioritized replay buffers, and LLM-specific action masking to remove hallucinations. The system uses a distributed MARL architecture that performs LoRA fine-tuning over two physical nodes via direct Ethernet, guaranteeing total parameter isolation, in order to maximize performance under stringent hardware restrictions. In the end, this architecture effectively illustrates how LLM agents with curriculum learning and episodic memory can independently learn intricate, multi-subnet cyber security tactics in sophisticated simulated environments.

DOI: http://doi.org/10.5281/zenodo.20582330

Published by: vikaspatanker

Authors: Agrim Verma, Rashi Singh

Abstract: The transition to hydrogen-based mobility re- quires Polymer Electrolyte Membrane (PEM) Fuel cells that are not only efficient but also durable under dy- namic load conditions. Traditional lumped parameter models often fail to capture the micro-climates inside theflow channels—areas where water flooding or membrane dehydration occurs locally. This term paper employs Ad- vanced Numerical Analysis to bridge this gap, focusingon the spatial distribution of Electrochemical parameters. By resolving the heat source terms into discrete physical contributions, the model enables targeted en- gineering interventions that are not accessible through bulk parameter approaches.

Published by: vikaspatanker