23 results match your criteria: "SRM TRP Engineering College[Affiliation]"

Our day-to-day lives have become comfortable and sophisticated with many recent technologies. Likewise, today's world has been enhanced by new innovative technologies. Everyone is moving towards smart cities and smart homes.

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This study aims to optimize the Wire Electrical Discharge Machining (EDM) process parameters for aluminum 6061 alloy reinforced with Mg and MoS using the Box-Behnken (BBD) design and the non-dominated sorting genetic (NSGA-II) algorithm. The objective is to enhance the machining efficiency and quality of the composite material. The Box-Behnken (BBD) design was utilized to design a set of experiments with varying levels of process parameters, comprising pulse-on time, servo volt, and current.

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Powder samples of BiS and Ag-doped BiS compounds were successfully synthesized the solvothermal method. The synthesized powders were consolidated using the cold-press method and annealed at 300 °C for 3 h. The cross-sections of the consolidated samples exhibited a densely packed hierarchical architecture micro-flower-like morphology.

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This study aims to reach a sustainable solution for waste management of medical plastics through value-added product extraction. It uses the DOE technique to examine the effect of natural zeolite and synthetic AlO and SiO as catalysts. A small lab-scale pyrolysis setup was used for medical plastic waste management treatment.

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Integrating deep learning techniques for effective river water quality monitoring and management.

J Environ Manage

November 2024

Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan; Center for Emerging Contaminants Research, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan; The International University of Management, Centre for Environmental Studies, Main Campus, Dorado Park Ext 1, Windhoek, Namibia; Destinies Biomass Energy and Farming Pty Ltd, P.O. Box 7387, Swakopmund, Namibia. Electronic address:

Effective river water quality monitoring is essential for sustainable water resource management. In this study, we established a comprehensive monitoring system along the Kaveri River, capturing real-time data on multiple critical water quality parameters. The parameters collected encompassed water contamination levels, turbidity, pH measurements, temperature, and total dissolved solids (TDS), providing a holistic view of river water quality.

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The implementation of hard-facing alloy on the existing materials caters the need for high-performance surfaces in terms of wear and high temperatures. The present research explore the effect of Plasma Transferred Arc Welding (PTAW) parameters and powder composition on dilution, microstructure and hardness of the commonly used hard-facing alloy Ni-Cr-Si-B powder. The hard-facing alloy was deposited with three weight proportions of boron (2.

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The magnetic properties of disordered NdBaMnFeO and ordered NdBaMnFeO perovskites were investigated through temperature- and field-dependent DC-magnetization measurements. The temperature dependence of magnetic susceptibilities revealed that antiferromagnetic ordering occurs at temperatures below 185 K for the disordered NdBaMnFeO sample, whereas the ordered NdBaMnFeO perovskite exhibited a paramagnetic state throughout the entire temperature range examined. Notably, the disordered sample exhibited a glassy state, even at room temperature, which transformed into an antiferromagnetic state under higher applied magnetic fields.

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Article Synopsis
  • Long-term water resource management requires effective monitoring of river water quality, which was achieved using a system called CNGRU-WQM along the Vaigai River.
  • This system collects real-time data on key water quality parameters like pollution levels, turbidity, pH, temperature, and total dissolved solids through strategically placed sensors.
  • The CNGRU-WQM model demonstrated an impressive validation accuracy of 97.86% and provides real-time alerts to stakeholders when water quality falls below certain thresholds, aiding in environmental conservation and informed decision-making.
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This paper introduces a unique and novel method for synthesizing thienyl chalcones using iron oxide nanoparticles (FeONPs) as a heterogeneous catalyst. It stands out as a rare example in the literature for the synthesis of these chalcones from 1,3-diketones and various aromatic aldehydes. The magnetic FeONPs employed as the catalyst bring several advantages, including their efficiency, affordability, and ecofriendly nature, making them an attractive choice for producing thiophene chalcones.

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In this paper, a multi-level algorithm for pre-processing of dermoscopy images is proposed, which helps in improving the quality of the raw images, making it suitable for skin lesion detection. This multi-level pre-processing method has a positive impact on automated skin lesion segmentation using Regularized Extreme Learning Machine. Raw images are subjected to de-noising, illumination correction, contrast enhancement, sharpening, reflection removal, and virtual shaving before the skin lesion segmentation.

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Machining titanium alloy (Ti6Al4V) used in orthopedic implants via conventional metal cutting processes is challenging due to excessive cutting forces, low surface integrity, and tool wear. To overcome these difficulties and ensure high-quality products, various industries employ wire electrical discharge machining (WEDM) for precise machining of intricate shapes in titanium alloy. The objective is to make WEDM machining parameters as efficient as possible for machining the biocompatible alloy Ti6Al4Vusing Box-Behnken design (BBD) and nondominated sorting genetic algorithm II (NSGA II).

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Synthesis, Structure, Morphology, Element composition, Electrochemical, and Optical studies of ZnMnCe Quantum dots.

Spectrochim Acta A Mol Biomol Spectrosc

December 2023

Centre for Materials Science, Department of Physics, Science and Humanities, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore - 641 021, Tamil Nadu, India.

Quantum dots (QDs) are semiconductors whose size falls in a range between 1 and 10 nm; they are generally known as zero-dimension materials. It finds various applications in optical industries including light-emitting diodes, display technology, imaging, and labelling. ZnS is one of the excellent QDs in its class of II-VI semiconductors.

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Article Synopsis
  • The study focused on the successful synthesis of silver-functionalized bismuth oxide nanoparticles (SBO NPs) using a hydrothermal method and characterized their properties.
  • The SBO NPs exhibited high sensitivity and low limits of detection for glucose, nitric oxide (NO), and hydrogen peroxide (HO) when tested with electrochemical methods.
  • The sensor demonstrated effectiveness in real sample testing, proving its potential for applications in medical and environmental monitoring.
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The respiratory infection tuberculosis is caused by the bacteria Mycobacterium tuberculosis and its unrelenting spread caused millions of deaths around the world. Hence, it is needed to explore potential and less toxic anti-tubercular drugs. In the present work, we report the synthesis and antitubercular activity of four different (hydrazones 7-12, O-ethynyl oximes 19-24, triazoles 25-30, and isoxazoles 31-36) hybrids.

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Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection.

Sci Rep

February 2023

Centre for Excellence-Indigenous Knowledge, Innovative Technology Transfer and Entrepreneurship, Dambi Dollo University, Dembi Dolo, Ethiopia.

Article Synopsis
  • The forward model design in Diffuse Optical Tomography (DOT) optimized photonic flux in soft tissues, focusing on parameters like absorption and reduced scattering coefficients.
  • The Box-Behnken Design (BBD) method enhanced the experimental system, analyzing factors like laser diode voltages and source-detector spacing to create accurate tissue image contours.
  • The study found that these factors significantly impacted imaging, with low residual error percentages, indicating strong predictions for tissue properties in the DOT system.
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Article Synopsis
  • A low-cost hydrothermal method was used to synthesize pure ZnZrO and chitosan-supported ZnZrO/CS nanocomposites, which were analyzed using various techniques for their structural and morphological properties.
  • The ZnZrO/CS sensor demonstrated impressive electrocatalytic activity for glucose and hydrogen peroxide detection, with high sensitivity, wide detection ranges, and low limits of detection (LOD) for both substances.
  • This multifunctional electrochemical sensor exhibited excellent catalytic activity, anti-interference capabilities, and was tested successfully for glucose detection in human blood serum and hydrogen peroxide in HeLa cells.
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The groundwater is very precious in the world. Rapid urbanization and industrialization create tremendous stress on groundwater quality and quantity. Unscientific groundwater extraction and waste disposal methods impact the groundwater aquifer's susceptibility in the coastal area.

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In today's scenario, composite materials play a vital role in automobile, aerospace, and defence sectors because of their higher strength, light weight and other mechanical properties. Aluminium alloy Al6082 is a medium strength alloy with good corrosion resistance properties; hence, it is used for high-stress applications, bridges, cranes, etc. The present work focuses on comparing the mechanical properties of Al6082 and Al6082 with the addition of silicon nitride, magnesium, and bio waste of eggshells.

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Ultrasonic investigation of materials-An avenue for project-based learning.

J Acoust Soc Am

April 2022

Department of Chemistry & Centre for Nano-Materials and Displays, B.M.S. College of Engineering, Bangalore 560 019, Karnataka, India.

Article Synopsis
  • Project-based learning (PBL) enhances practical skills like teamwork and project management for college students, particularly through hands-on projects.
  • Students use ultrasound technology to conduct nondestructive testing on solid materials, measuring properties like ultrasonic velocity and elastic constants.
  • This method allows the exploration of various phase transitions in materials, such as changes from metal to insulator or ferromagnetic to paramagnetic, providing valuable experimental results.
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Diabetic retinopathy (DR) is a chronic disease that may cause vision loss in diabetic patients. Microaneurysms which are characterized by small red spots on the retina due to fluid or blood leakage from the weak capillary wall often occur during the early stage of DR, making screening at this stage is essential. In this paper, an automatic screening system for early detection of DR in retinal images is developed using a combined shape and texture features.

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Article Synopsis
  • Fast and accurate detection of plant diseases is essential for increasing agricultural production, but traditional methods are often tedious and expensive.
  • This study uses hyperspectral imaging and machine learning, specifically Locality Preserving Discriminative Broad Learning (LPDBL), to identify various stages of powdery mildew disease in squash plants, utilizing data collected via an unmanned aerial vehicle (UAV).
  • The proposed method significantly improves disease detection accuracy compared to six other methods, successfully identifying infected plants at early, middle, and critical stages.
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Advanced wave-shape non-graphitizable carbon sheets are derived, comprising mesoporous weaved turbostratic micropore enabled stable Na ion storage. The non-graphitizable amorphous characteristics are determined from the obtained two broad diffraction peaks at 22.7° and 43.

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Detection of moving object from a visual sequence plays a vital role for the tracking of object. The main objective of this proposed work is to detect and classify the various video sequences with the help of different classification algorithms. The input video sequences from the publicly available datasets are collected and the individual frames are extracted.

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