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232 articles for “Evenness measures”
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Detection and Control of Adulterants in Milk
Abstract: Milk is one of the most essential and widely consumed staple foods, valued for its rich nutritional composition, including proteins, fats, vitamins, and minerals necessary for human growth and health. However, the increasing demand for milk, coupled with economic incentives, has led to the widespread issue of milk adulteration, posing serious concerns for food safety and public health. Adulteration involves the addition of harmful or inferior substances to milk, either …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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GSM Based Coal Miners Safety Monitoring Helmet
Abstract: A Coal Miners sensible Helmet is a wearable device that will facilitate coal miners keep safe. Observance the protection of coal miners' operating conditions are often finished in this device. It monitors the temperature, humidity, harmful gas concentration, and vibration. The information is analyzed and sent to the room and therefore the room decides that action must be taken supported the parameters sent. This paper uses LoRa communication technology alongside …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 13–18 Read article
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Perturbed Quantum Computation of the Non-linear Dynamical System in Terms of Bose-Mesner Algebra Using N-Coupled Maps
Abstract: AbstractThe author has considered the non-linear dynamical system comprising of brain, heart, kidney, physiological processes, thinking mechanism and immune system. The components of the dynamical system are interconnected with each other. In the present work he has discussed the perturbation in the non-linear dynamical system due to intense BIS processes. The BIS processes occurring in the surroundings constantly affect our neural network bringing about sudden changes in nervous system. The …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 27–42 Read article
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The Pathophysiology, Diagnosis and Some Management Approaches of Alzheimer’s Disease: An Overview
Abstract: Alzheimer’s disease is the greatest mutual cause of dementia globally, with the occurrence ongoing to grow in part because of the aging world populace. This neurodegenerative disease process is categorized characteristically by 2 mark pathologies: β-amyloid plaque deposition and neurofibrillary masses of hyperphosphorylated tau. Diagnosis is grounded on biomarkers restrained in vivo even beforehand the onset of clinical dementia symptoms. No solitary biomarker can by itself properly diagnose AD. A …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 2, 2023 · pp. 1–17 Read article
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Study on Healthcare Workers in a Tertiary Institute of Uttarakhand on Possible Adverse Effects after COVID-19 Vaccination
Abstract: The occurrence of a devastating pandemic of severe acute respiratory syndrome coronavirus-2 (SARS- CoV-2) infection, which emerged in the year 2019 in Wuhan, China, has come out as a primary concern all over the world. Many measures were adopted to prevent its spread, but the role of vaccines is inevitable. Understanding the importance of vaccines in the current situation, Government of India launched the COVID-19 vaccine drive on Jan 16, …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 1, 2023 · pp. 20–31 Read article
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Rail and Coil Gun Based Levitating Hybrid Train
Abstract: Hybrid train is a train which is a hybrid of the concept ideas of coil gun, rail gun, halback array, magnetic levitation etc. Theoretically this train could achieve the fastest Speed an object could reach respect to its mass. This train could surpass sound barrier and could even be made to go to speed exceeding mach 3. But due to travel safety a certain speed limit can be implemented in …
Published in Trends in Electrical Engineering · pp. 35–41 Read article
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Autonomous Agent Contracts for Adaptive Supply Chains
Abstract: This paper proposes a novel agent-driven, on-chain coordination layer for manufacturer–distributor–retailer handoffs that automates release, transfer, receipt, and state validation across the supply network. This approach combines belief–desire–intention (BDI) agents with narrowly scoped smart contracts to capture role responsibilities, capacity checks, and escalation policies. It aims to enhance conformance, traceability, and cycle-time reliability without relying on central intermediaries. This proof of concept links supply chain states—such as production-ready, packaged, listed, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 52–60 Read article
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Rail and Coil gun Based Levitating hybrid Train
Abstract: Hybrid train is a train which is a hybrid of the concept ideas of coil gun, rail gun, halback array, magnetic levitation etc. Theoretically this train could achieve the fastest Speed an object could reach respect to its mass. This train could surpass sound barrier and could even be made to go to speed exceeding mach 3. But due to travel safety a certain speed limit can be implemented in …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 35–41 Read article
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Evaluation of Chale Neem (Azadirachta Indica) As an Immunomodulator in Elderly Persons: A Single Blind Randomized Placebo Controlled Study
Abstract: Elderly subjects have loss of functionality and dysregulation of immune system. Immunosenescence is associated with deleterious changes, primarily in adaptive immunity and particularly in T cell subset. It includes reduced production of T cells in bone marrow and thymus and diminished function of mature lymphoid tissues. As a result, elderly individuals do not respond to immune challenge and are at increased risk of infection and related complications. Chale Neem (Azadirachta …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 6, Issue 3, 2016 · pp. 48–52 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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Incorporating Sensors and Algorithms for Enhanced Go-Kart Driver Awareness and Navigation
Abstract: This study is motivated by the Go Kart Design Challenge (GKDC), wherein dedicated teams from the University collaboratively endeavored to bring to life a competitive go-kart. Serving as an invaluable learning platform for mechanical engineers, the project involved comprehensive engagement in go-kart design calculations, budget estimations, fabrication, qualification testing, and dynamic participation in competitions. This paper succinctly outlines the key phases of the project, encompassing the design process, fabrication intricacies, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 362–373 Read article
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An Intelligent cloud system for disaster communication and management involving IoT mesh networks
Abstract: Disaster coordination and communication are key areas of rescue. Nevertheless, the frequent interruptions in old communication channels underscore the need for alternative approaches. Modern communication technologies play a critical role in enhancing disaster management. This study proposed an effective approach wherein a local communication network is created which will aid emergency responders in responding to disasters, with the aim of improving their ability to handle emergencies quickly and efficiently. Advanced …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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High-Energy Astrophysics: Exploring the Extreme Universe Through Radiation, Relativistic Phenomena, and Cosmic Cataclysms
Abstract: High-energy astrophysics is a fast-developing area of astrophysical research dedicated to exploring the universe’s most powerful and extreme events. It involves investigating dense and energetic cosmic objects and phenomena, including black holes, neutron stars, supernova remnants, gamma-ray bursts, and active galactic nuclei. These sources emit radiation predominantly in the X-ray and gamma-ray regions of the electromagnetic spectrum and are often associated with high-energy particles, including cosmic rays and neutrinos. Investigating …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 10–15 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Monitoring of Unauthorized Identity and Access Behaviour for Outsourced Data in Cloud Environment
Abstract: The outsourcing of data is a significant challenge in the modern cloud computing ecosystem when it comes to tracking unauthorized identification and access behaviour. In order to overcome this issue, this research suggests a thorough method for reliable anomaly detection in cloud systems. Improving data security and offering a trustworthy monitoring system are the two main goals. The suggested approach proceeds methodically, gathering information from several sources such as user …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 9–19 Read article
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Centralized Controller Design Of Two-Input Two-Output Process Using SISO Design Techniques
Abstract: In two-input two-output (TITO) systems, interactions should be appropriately accounted for proper input-output pairing. Pairing plays an important role, where the wrong pairing can lead to unstable systems, even each one of the loop is stable individually. In this paper interactions of TITO time-delay systems are quantified using the gramian based interaction measures. Using this pairing problem is addressed for TITO systems and a multivariable controller is designed using siso …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 39–47 Read article
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The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System
Abstract: The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article