56 results match your criteria: "Sri Ramakrishna Engineering College[Affiliation]"

This manuscript proposes the Jellyfish Search Optimization (JSO) algorithm-based Fractional Order Proportional-Integral-Derivative (FOPID) controller tuning for a paper machine headbox. The novelty of this method lies in integrating the JSO technique for optimizing the parameters of the FOPID controller to monitor and control headbox pressure and stock level efficiently and effectively. The JSO algorithm ensures optimal tuning of controller parameters by minimizing error indices such as Integral of Squared Error (ISE), Integral of Time Absolute Error (ITAE), and Integral of Absolute Error (IAE).

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Fire is a dangerous disaster that causes human, ecological, and financial ramifications. Forest fires have increased significantly in recent years due to natural and artificial climatic factors. Therefore, accurate and early prediction of fires is essential.

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Basalt-based natural fiber hybrid composites with fillers are always the most anticipated composite material candidates for lightweight structural applications. Current work focusses on the preparation, characterization and testing of Basalt (B)/Hibiscus vitifolius (HV) based epoxy biocomposites with and without cashew nutshell fillers. Individual fiber reinforced composites (with 40 vol% of fibers) and hybrid composites (with 40 vol% of fibers in the ratio 1:1) filled with 10-30 vol% of fillers were manufactured using compression moulding techniques.

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Article Synopsis
  • The paper addresses the challenges of designing controllers for Multi-Input Multi-Output (MIMO) industrial processes, emphasizing the need for advanced control strategies due to dynamic interactions and changes.
  • It proposes an Iterative Learning Controller with dead-time compensation, utilizing a new hybrid optimization algorithm for both simulation and real-time testing on the Quadruple Tank System.
  • The results indicate significant improvements in system stability and performance, with the proposed controller reducing overshoot and settling time by nearly 30% faster in Single-Input Single-Output (SISO) contexts and over 14% faster in MIMO settings, supported by predictive modeling using Machine Learning techniques.
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The primary objective of this study is to investigate the microstructural, mechanical, and wear behaviour of AZ31/TiC surface composites fabricated through friction stir processing (FSP). TiC particles are reinforced onto the surface of AZ31 magnesium alloy to enhance its mechanical properties for demanding industrial applications. The FSP technique is employed to achieve a uniform dispersion of TiC particles and grain refinement in the surface composite.

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Thermite frass biomass and surface modified biowaste coir fiber reinforced biocomposites-Conversion of waste to useful products.

Biopolymers

November 2024

Institute of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamilnadu, India.

Polymer composites are known for its light weight and specific mechanical characteristics. This study examines sodium hydroxide (NaOH)-treated coir fiber, an agro-leftover, stuffed in a polyester matrix with termite frass powder, a bio-leftover for possible use in light-weight structural applications. Composite samples were made using compression molding and NaOH-treated coir fiber reinforced hybrid polymer composite (TCRHPC) with 40 wt% treated coir fiber and 1, 2, 3, and 4 wt% termite frass powder.

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Dynamic task offloading edge-aware optimization framework for enhanced UAV operations on edge computing platform.

Sci Rep

July 2024

Faculty of Software Engineering, College of Computing and Informatics, Haramaya University, Dire Dawa, P.O. Box 138, Ethiopia.

Article Synopsis
  • The importance of optimizing resource use, data collection, and UAV operations is highlighted, with challenges like latency and security in conventional systems outlined.* -
  • The dynamic task offloading edge-aware optimization framework (DTOE-AOF) integrates edge computing and AI to enhance UAV performance by reducing latency and improving efficiency.* -
  • DTOE-AOF has practical applications in fields such as precision agriculture and emergency management, demonstrating superior mission efficiency and resource use compared to traditional methods.*
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In the current scenario, liver abnormalities are one of the most serious public health concerns. Cirrhosis of the liver is one of the foremost causes of demise from liver diseases. To accurately predict the status of liver cirrhosis, physicians frequently use automated computer-aided approaches.

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Advances on carbon nanomaterials and their applications in medical diagnosis and drug delivery.

Colloids Surf B Biointerfaces

September 2024

Centre for Nano-Biosensors, Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, No.162, Poonamallee High Road, Velappanchavadi, Chennai, Tamil Nadu 600077, India. Electronic address:

Article Synopsis
  • Carbon nanomaterials are crucial in various fields due to their exceptional electrical conductivity, mechanical strength, and thermal stability, making them valuable for biomedical uses and waste management.
  • Traditional nanomaterials face limitations like limited surface area and poor dispersibility, prompting the need for advanced carbon-based materials, which can be created using techniques like chemical vapor deposition and laser ablation.
  • Different types of carbon nanomaterials, such as carbon nanotubes (CNTs) and carbon quantum dots (CQDs), offer unique properties that enhance environmental cleanup efforts and biomedical applications, such as pollutant adsorption, wastewater treatment, and drug delivery systems.
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Machine learning algorithm for ventilator mode selection, pressure and volume control.

PLoS One

March 2024

Department of Electrical and Electronics Engineering, Department of Electrical and Computer Engineering, Ajman University, Ajman, United Arab Emirates.

Mechanical ventilation techniques are vital for preserving individuals with a serious condition lives in the prolonged hospitalization unit. Nevertheless, an imbalance amid the hospitalized people demands and the respiratory structure could cause to inconsistencies in the patient's inhalation. To tackle this problem, this study presents an Iterative Learning PID Controller (ILC-PID), a unique current cycle feedback type controller that helps in gaining the correct pressure and volume.

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An experimental study of three body abrasive wear behaviour of AZ31/15 vol.% Zirconium dioxide (ZrO) reinforced composites prepared by stir casting has been carried out. Microstructural analysis of the developed composites was carried out and found out that the microstructure of the composites revealed a uniform distribution of ZrO particles with refinement in the grain size of the matrix from 70 to 20 µm.

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Ethnopharmacological Relevance: Multi-Drug Resistance (MDR), mediated by P-glycoprotein (P-gp) is one of the barriers to successful chemotherapy in colon cancer patients. Annona muricata L. (A.

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Wireless technology is becoming increasingly critical in industrial environments in recent years, and the popular wireless standards are WirelessHART, ZigBee, WLAN and ISA100.11a, commonly used in closed-loop systems. However, wireless networks in closed-loop control experience packet loss or drops, system delay and data threats, leading to process instability and catastrophic system failure.

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In smart cities, the fast increase in automobiles has caused congestion, pollution, and disruptions in the transportation of commodities. Each year, there are more fatalities and cases of permanent impairment due to everyday road accidents. To control traffic congestion, provide secure data transmission also detecting accidents the IoT-based Traffic Management System is used.

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MXenes - Versatile 2D materials for identification of biomarkers and contaminants in large scale environments - A review.

Environ Res

July 2023

Department of Environmental Engineering, Kyungpook National University, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, Tamil Nadu, India. Electronic address:

Recent years have seen a lot of interest in transition metal carbides/carbonitrides (MXenes), Which is one of newly proliferating two-dimensional (2D) materials.The advantages and applications of synthesizing MXenes-based biosensing systems are interesting. There is an urgent requirement for synthesis of MXenes.

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An Efficient AP-ANN-Based Multimethod Fusion Model to Detect Stress through EEG Signal Analysis.

Comput Intell Neurosci

December 2022

Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore 641022, India.

Stress is a universal emotion that every human experiences daily. Psychologists say stress may lead to heart attack, depression, hypertension, strokes, or even sudden death. Many technical explorations like stress detection through facial expression, speech, text, physical behaviors, etc.

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Groundwater in the Coimbatore region is very much essential for irrigation and human beings' day-to-day life activities. This research focuses on the impact of anthropogenic activities on the surface water quality of four tanks in Coimbatore city and its influences on disturbing the groundwater quality as well. Water quality is degrading as a result of encroachment and other anthropogenic activities.

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The topic of two-dimensional steady laminar MHD boundary layer flow across a wedge with non-Newtonian hybrid nanoliquid (CuO-TiO/CHO) with viscous dissipation and radiation is taken into consideration. The controlling partial differential equations have been converted to non-linear higher-order ordinary differential equations using the appropriate similarity transformations. It is demonstrated that a number of thermo-physical characteristics govern the transmuted model.

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Phase change materials (PCMs) serve as an advantage in thermal energy storage systems utilizing the available sensible and latent heat. The PCMs absorb the thermal energy during the charging process and release it into the environment during the discharging process. Steatite is low cost and eco-friendly, with a thermal stability up to 1000 °C, and it is abundantly available in nature.

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Creatinine (Crn) is an important excretory product of the human body. Medical laboratory technology has improved over years and brought many advancements in clinical diagnostics equipment, and testing techniques and made the tests more efficient. Yet, the quantitative analysis of Crn is still carried out by the classical Jaffe's reaction (using Picric acid (PA) with NaOH) method.

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Simulation of ground water quality for noyyal river basin of Coimbatore city, Tamilnadu using MODFLOW.

Chemosphere

November 2022

Department of Civil Engineering, Kongu Engineering College, Perundurai, 638060, Tamilnadu, India. Electronic address:

In recent years groundwater modelling has become a major part of many projects dealing with groundwater exploitation, protection and remediation. Coimbatore city is located along the Noyyal River which is grown in size and population on either side of the river and the dumping of wastes very close to the river banks, leads to pollution of both surface and groundwater. Study on the quality of groundwater along the Noyyal River in Coimbatore city of Tamilnadu, is necessary to safeguard the interest of the people with respect to quality and quantity of water.

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Article Synopsis
  • The study introduces a new dopamine sensor made from a composite of PEDOT, graphene oxide, and polyphenol oxidase (PEDOT-GO-PPO) and examines its structure using scanning electron microscopy.
  • Researchers utilized cyclic voltammetry and amperometric techniques to analyze the sensor's performance, determining its limit of detection for dopamine to be 8 × 10 M with a linear range of 5 × 10 to 8.5 × 10 M.
  • The sensor maintains 80% of its activity after 2 months, indicating its potential for future applications in measuring dopamine levels in human urine samples.
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Article Synopsis
  • The co-existence of hazardous chemicals and pathogens in wastewater poses serious risks to the environment and human health, necessitating effective strategies for pollution mitigation.
  • This study investigates the combined effectiveness of TiO and Cu-TiO nanoparticles, along with non-thermal atmospheric pressure plasma (NTAPP), in killing bacteria and degrading textile wastewater.
  • Synthesis and characterization of the nanoparticles revealed that copper doping improved their photocatalytic efficiency, while various plasma treatments demonstrated significant bacterial inactivation and degradation of pollutants, supported by spectroscopic analyses.
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Article Synopsis
  • Deep Learning is widely used in areas like natural language processing and computer vision, and it plays a key role in creating deep fakes, which are manipulated images that can be hard for humans to detect.
  • The main challenge with current detection methods is their inaccuracy and high processing time, making it crucial to improve these techniques.
  • This study focuses on detecting deep fake images by implementing Fisherface combined with Local Binary Pattern Histogram (FF-LBPH) and using Deep Belief Networks (DBN) with Restricted Boltzmann Machines (RBM) as a classifier, utilizing public datasets like FFHQ and CASIA-WebFace.
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