AI Enhanced Eye Detection Wheelchair with Smart Monitoring using Deep Learning
Pain Alleviating and Movement Assistive Device for Bone Fractured Patients
Nature’s Pharmacy: A Deep Learning approach for Identification of Medicinal Plants
Design and Implementation of an Analog and Mixed-Signal System on Chip for ECG Monitoring
Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
Development and Performance Evaluation of Magnetic Abrasive Finishing Setup for Thick Cylinders
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Blood is pumped from the heart, a muscular organ, to various body organs via blood arteries. The aim of this paper is to create a temporary device, such as a pump, for individuals with cardiac diseases for whom survival without a transplant is unfeasible. Until a donor heart becomes available, the patient may have ample time with these makeshift devices. This paper uses engineering principles to explore the idea of an artificial heart. Using SOLIDWORKS 18 and ANSYS 21, numerical simulation and examination of the artificial heart were carried out. A Multiphysics static structural model and fluent fluid flow (CFD) analytical techniques were utilized to ascertain the dynamic response and impacts of pressure. SOLIDWORKS was utilized to model the 3D geometries, and ANSYS Design Modeler was used to import the geometries for preprocessing. The solver used throughout the study is ANSYS FLUENT, a tool used to analyze fluid flow troubles, known as Computational Fluid Dynamics (CFD). Next is mesh generation, which means discretization of the domain to solve governing equations at each cell and later specify the boundary zones to apply boundary conditions for this paper. The simulation results showed that at maximum levels of absolute pressure in air pressurized chambers, the performance of the heart remained secure and suitable for comfortable conditions.
Differential Evolution (DE) is an informative and direct approach to optimization with limited control parameters. This paper presents a multi-position and orientation analysis of a Spatial Parallel Manipulator considering the influence of physical constraints, such as limb lengths and spherical joint motion. The synthesis process primarily involves determining the scopes of the permanent base and movable platform relative to the axes of the revolute joints, enabling the moving platform to traverse a predetermined range of positions. The dimensions of the moving platform and fixed base are determined by considering restrictions on joint motion to design the parallel manipulator using the DE algorithm method. The synthesis procedure is illustrated with a numerical example involving eight positions.
Wireless Sensor Networks (WSNs) are transforming precision agriculture by enabling seamless monitoring and control of key factors such as temperature, humidity, solar radiation, soil moisture, and various dissolved compounds. This technology enhances efficiency and productivity while reducing costs. However, optimizing coverage area and energy efficiency in precision agriculture WSNs presents significant challenges. To address these challenges, our work focuses on developing innovative solutions inspired by advanced algorithms and state-of-the-art techniques for WSNs. Our primary objective is to improve area coverage and reduce energy consumption in precision agriculture WSNs. We are developing algorithms that can adapt to diverse agricultural landscapes. Through simulations, we aim to evaluate the performance and impact of our novel algorithm on precision agriculture applications. These simulations will provide valuable insights into the effectiveness of our algorithm in enhancing coverage area and energy efficiency in WSNs. Furthermore, our research aims to contribute to the broader field of WSNs by providing a detailed analysis of the challenges and opportunities in optimizing coverage area and energy efficiency in agricultural settings. By leveraging advanced algorithms and techniques, we aim to enhance the capabilities of WSNs in precision agriculture, leading to more sustainable and efficient farming practices.
Bio-printing is a trending technology in the field of tissue engineering and regenerative medicine, creating complex three-dimensional structures. The advancements in bio-printing, including the steps and materials used in bio-printers, have been highlighted. Various bio-printing techniques such as micro-extrusion, inkjet printing, and laser-based approaches are discussed. Moreover, the roles of biomaterials and their importance in bio-printing cannot be overstated. Characteristics such as cell viability, adhesion, differentiation, biodegradability, and biocompatibility are paramount in ensuring the success of bio-printed tissues. Additionally, the interdisciplinary nature of bio-printing research fosters collaborations between biologists, engineers, material scientists, and medical professionals. This synergy facilitates the development of innovative bio-printing technologies and accelerates their translation into clinical applications. Furthermore, the evolution of bio-printing technology is not only reshaping medical practice but also opening new frontiers in scientific exploration. By mimicking the complex architectures and functionalities of native tissues, bio-printed constructs serve as valuable tools for studying tissue development, disease mechanisms, and drug responses. The ability to recreate physiologically relevant microenvironments in vitro provides researchers with unprecedented insights into cellular behavior and tissue dynamics. The bio-printing represents a transformative approach in tissue engineering and regenerative medicine, offering unparalleled opportunities for tissue fabrication, disease modeling, and drug discovery. As research in this field continues to progress, we can anticipate even more remarkable breakthroughs that will revolutionize healthcare and biomedical research.
Graphene, owing to its excellent physical, mechanical, and electrical properties, as well as its outstanding optoelectronic properties, has garnered significant attention. Consequently, it has opened numerous opportunities for various types of future devices and systems. Graphene, a one-atom-thick layer of carbon atoms forming a honeycomb 2D crystal lattice, stands out as one of the most promising candidates in the field of nano- and microelectronics. This review provides an introduction to graphene, detailing its properties and its applications, particularly focusing on its utilization in the realm of Field Effect Transistors (FETs). Specifically, an analytical device model of heterostructure-based FETs is presented, which essentially comprises an array of nano ribbons clad. The model for Graphene Nano Ribbon (GNR) FETs includes Poisson's equation and can be employed to calculate the current-voltage characteristics and spatial distribution of electric potential along the channel.
