Search
1475 articles for “Performance”
-
Enhancing Geopolymer Concrete Properties Through Processed Fly Ash and Alccofine Integration
Abstract: Abstract Geopolymer concrete (GPC) is gaining attention as a sustainable alternative to ordinary Portland cement (OPC) due to its potential to reduce the environmental impact of cement production, which accounts for roughly 7% of global CO2 emissions. This study investigates the use of processed fly ash and alccofine as key ingredients in GPC to improve its workability and compressive strength. Experimental tests were conducted to evaluate the effects of different …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
-
An Evaluation of the Impact of Horticultural Therapy on Depression in Elderly Individuals Living in Assisted Living Facilities
Abstract: Objectives: To evaluate the degree of depression. The study aimed to evaluate the effects of horticultural therapy on depression and to explore the relationship between depression levels and selected demographic variables. Methods: A quantitative evaluative survey approach was employed, utilizing a quasi-experimental one-group pre-test–post-test design. The study focused on elderly individuals living in old age homes. A simple random sampling method was used to recruit a total of 60 participants. …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 2, 2024 · pp. 26–41 Read article
-
Level of cardiovascular endurance among the college students in selected institute, Mangalore
Abstract: Health is defined by the body's normal functioning capacity and the lack of illness or impairment. Leading a sedentary lifestyle elevates the likelihood of encountering numerous cardiovascular conditions. Exercise represents a consistent form of activity designed to enhance one's physical condition. Through consistent exercise, people can maintain a healthy heart function. Objective: To assess the level of cardiovascular endurance among college students and to associate the level of cardiovascular endurance …
Published in International Journal of Nursing Critical Care · Vol. 10, Issue 2, 2024 · pp. 33–38 Read article
-
A Descriptive study to assess the psychological impact and coping strategies of frontline nurses during the outbreak of Novel Corona virus disease 2019(Covid-19) at Covid-19 dedicated hospitals of New Delhi.
Abstract: Introduction: The pandemic has impacted not just physical health but also mental health and overall well-being. The psychological and emotional impact of Covid-19 is especially significant for healthcare workers, including nurses, due to their heightened exposure to the virus. This study was conducted to assess the psychological impact and coping strategies of frontline nurses involved in the care of covid-19 confirmed and suspected cases admitted in selected hospitals of Delhi …
Published in International Journal of Immunological Nursing · Vol. 10, Issue 2, 2024 · pp. 8–18 Read article
-
A Study To Assess The Impact Of Health Education Package On Screening of TB And IPT Among Family Members Of TB Patients Registered In DOTS Centre PGIMER, Chandigarh, 2019-2020.
Abstract: Background: Tuberculosis (TB) is a persistent infectious disease caused by Mycobacterium tuberculosis (MTB). It ranks among the ten most significant infectious diseases globally. Despite being preventable and treatable, TB remains a significant public health issue in India. The present study was carried out to assess the status of screening for TB in the family members and Isoniazid Prophylaxis Therapy (IPT) provided to under 6 years of age among the family …
Published in International Journal of Medical Surgical Nursing · Vol. 7, Issue 2, 2024 · pp. 13–20 Read article
-
Machine Learning Approaches for Customer Churn Prediction in Telecommunications
Abstract: Customer churn prediction is a critical challenge for companies in the telecommunications industry. The competition is intense, and acquiring new customers can be costly. Predicting when existing customers might leave (churn) helps companies take proactive measures to retain them, reducing churn rates and costs. By analyzing historical customer data, including demographics, service usage, billing, and customer service interactions, this study aims to identify customers at risk of leaving their current …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
-
Nanotechnology in Refractory Materials: Innovations and Applications
Abstract: Nanotechnology has become a focal point of research across diverse scientific fields, including chemistry, medicine, materials science, and engineering. Its integration into refractory products has led to groundbreaking advancements in industries such as steel, glass, casting, and cement, particularly using nanomaterials like nanoparticles, nano additives, and nanostructured materials. This article provides an in-depth examination of the latest developments in monolithic refractories, focusing on how nanotechnology has enhanced their performance, durability, …
Published in International Journal of Metallurgy and Alloys · Vol. 10, Issue 1, 2024 · pp. 7–11 Read article
-
Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller
Abstract: The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
-
Data Compression in Backbone Network
Abstract: In the realm of modern computing and extensive data transmission, the efficient management of network resources is paramount. This paper introduces a novel approach, a data compression system meticulously designed backbone network. The proposed system aims to streamline data compression, significantly curbing network b and width demands, and thereby enhancing network performance. Tailored to the unique requisites and limitations of backbone network environments, the solution optimally balances compression ratios and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
-
A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation
Abstract: Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
-
Seamless Connectivity and Efficient Resource Allocation in IoT Forensics and Bio-inspired
Abstract: The convergence of cloud computing and the Internet of Things has reshaped many industries, enabling seamless device connectivity and resource allocation on a massive scale. This paper highlights the challenges bio-inspired Internet of Things networks and Internet of Things forensics pose while delving into the core components of achieving connectivity and resource provisioning within cloud-based Internet of Things environments. Different state-of-the-art technologies have been taken into account to enhance reliability …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article
-
CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
-
Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
-
An Investigation of Properties Nanoparticles Reinforced Thermoplastic Nanocomposites
Abstract: Nanoparticles and nanocomposites find widespread uses in a variety of fields, such as building materials, architecture, optics, food packaging, optoelectronics, semiconductors, medicine, textiles, cosmetics, and catalysis. Compared to their microparticle cousins, polymeric nanocomposites-a unique family of materials-perform better because they blend organic polymers with inorganic nanoparticles. As a result, they ought to improve the domain of engineering applications. Inorganic nanoparticles can significantly alter the properties of a polymer matrix. Flexible …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 2, 2024 · pp. 54–64 Read article
-
Recent Trends and Innovations in Energy Efficiency: The Role of AI and Advanced Technologies in Revolutionizing the Energy Sector
Abstract: This comprehensive review delves into the recent trends and innovations shaping the landscape of energy efficiency. From the widespread adoption of energy-efficient appliances to the integration of advanced energy management systems, significant strides have been made in reducing energy sconsumption and mitigating environmental impact. The paper explores the pivotal role of energy storage solutions in enabling a more sustainable energy future, highlighting the advancements in battery technology, grid-scale storage, and …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 8–16 Read article
-
Physico-Mechanical and Degradation Properties on Agro-Waste Based Polymer Composites Reinforced with Banana Bunch Fiber
Abstract: The usage of banana bunch fibers in polymer composite parts for the automotive, aerospace, and construction industries is growing. As people grow more aware of the danger of synthetic fibers, banana bunch fibers are being used in an increasing variety of sectors. It is important to recognize that humans depend on the Earth for survival, not the other way around. This understanding drives scientists and policymakers to seek alternatives to …
Published in International Journal of Composite and Constituent Materials · Vol. 10, Issue 2, 2024 · pp. 33–43 Read article
-
Nanocapsules Applied in Pharmaceutical Delivery Systems
Abstract: Nanocapsules, which are minute vesicles composed of a parent material shielded by a polymer casing to encase the drug in the nucleus while regulating the drug’s dispensation and targeting capacity, represent a ground-breaking advancement in the realm of pharmaceuticals. The purpose behind the creation of nanocapsules is to enhance their efficiency and functionality by leveraging various methodologies like polymerization, solvent diffusion, dialysis, and supercritical fluid technology. These nanocapsules introduce a …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article