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1670 articles for “demonstration”
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Experimental Study on Sustainable Light Weight Concrete Incorporating with Oil Palm Industrial Waste
Abstract: In present days a very huge number of raw materials are used by the construction sector which releases very large amount of harmful gases such as carbon dioxide (CO2) into the environment. To avoid such problems research should be focused on sustainable materials, among which Oil Palm industrial waste that can be used in concrete. The main purpose of this research is to utilize the palm oil fuel ash (POFA) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 1–18 Read article
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Innovative Thin Film Technologies for Energy and Environmental Applications
Abstract: This article explores recent advancements in thin film technologies, focusing on their applications in photocatalysis, energy storage, and gas sensing. It highlights the growth of zinc oxide (ZnO) films via thermal evaporation for photocatalytic dye degradation, achieving up to 99.6% efficiency at pH 2. The study also examines vanadium pentoxide (V2O5) as a promising cathode material for lithium-ion batteries, discussing its structural characteristics and challenges related to conductivity and stability. …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Bismuth-Doped CuGaS₂ Thin Films for Enhanced Photovoltaic and Electrocatalytic Performance
Abstract: This study presents the development and application of bismuth (Bi)-doped CuGaS₂ thin films for enhanced performance in photovoltaic and electrocatalytic systems. Using a cost-effective all-solution processing method, Bi-doped CuGaS₂ chalcopyrite nanocrystals were synthesized and spray-deposited onto molybdenum substrates. The resulting films, with a thickness of approximately 730 nm and grain sizes larger than 400 nm, exhibited superior optical properties and a lower band gap compared to undoped films, making them …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 3, 2024 · pp. 01–07 Read article
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Enhancing Compressive Strength of M25 Grade Concrete Using Ceramic Tiles Waste and Waste Fiber Metal: A Path Toward Sustainable Construction
Abstract: This study explores the use of Ceramic Tiles Waste and Waste Fiber Metal as partial replacements in M25 grade concrete, focusing on their impact on compressive strength. Various combinations of waste materials were tested to determine the optimal mix proportions. Compressive strength tests were conducted on concrete cubes incorporating 0.30%, 0.40%, and 0.50% Waste Fiber Metal with varying percentages of Ceramic Tiles Waste ranging from 20% to 50%. The results …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 13–19 Read article
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The Role of Precision Agriculture in Enhancing Horticultural Crop Yields
Abstract: This article explores the quantification of lithium and mapping of mineral composition in crushed lithium ore utilizing two distinct calibration techniques with Laser-Induced Breakdown Spectroscopy (LIBS). Thirty samples from a pegmatite lithium deposit were analyzed, with representative mineral samples extracted, mixed with resin, and polished into disks. These disks underwent examination via an analyzer and an integrated mineral analyzer, facilitating mineral identification. The first calibration technique used empirical mineral chemistry …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 1, 2024 · pp. 18–23 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Development of Biomass-Derived Composites From Commodity Plastics Via Pyrolysis For Enhanced Corrosion Protection of Metals
Abstract: Escalating environmental concerns and the depletion of fossil resources have spurred the need for sustainable and eco-friendly materials. By converting plastic waste into valuable carbonaceous materials via pyrolysis, both plastic pollution and resource scarcity can be addressed. The process involves the thermal decomposition of plastics in an inert atmosphere, producing a mixture of gases, liquids, and solid residues rich in carbon. These carbonaceous residues are then incorporated with biomass materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 59–70 Read article
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Cohesive Energy of Chalcogenide and Pnictide Based Ternary Tetrahedral Semiconductors
Abstract: There is a great amount of interest in tertiary chalcopyrite semiconductors because of the potential uses they have in the field of optoelectronics. These applications include solar energy converters, detectors, light emitting diodes (LED), and non-linear optical devices (NLO). There are variety of ZnS Zinc blende types of superstructures in which one of the types is called chalcopyrite semiconductor. This study is based on the characteristics of the chalcopyrite semiconductor. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 192–197 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Seismic Risk Assessment of Soft-Story Buildings Using a Pushover Analysis Approach
Abstract: In urban India, reinforced concrete buildings with open ground stories designed for parking purposes are quite prevalent. These soft-story structures have faced severe damage and even total collapse during significant earthquakes in various regions, including the 1999 Taiwan earthquake, the 1999 Turkey earthquake, the 2003 Algeria earthquake, and the 2001 Bhuj earthquake, where approximately 1,500 medium-rise open ground-story buildings demonstrated extreme vulnerability. Given this vulnerability, the primary objective of this …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 20–35 Read article
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Seismic Analysis of G+30 RCC Frmaed Structure and Use of R.C Jacketing
Abstract: In high-rise buildings, such as G+30 reinforced concrete (RCC) framed structures, key concerns during seismic events include maintaining structural integrity, preventing catastrophic collapse, and ensuring the safety of occupants. Seismic retrofitting is a vital process aimed at enhancing the resilience of such buildings and infrastructure against earthquake forces, by strengthening their ability to withstand seismic activity. This abstract provides an overview of numerous seismic retrofitting projects implemented worldwide, focusing on …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 20–37 Read article
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Emerging Trends in Civil Engineering: Sustainability and Digital Transformation
Abstract: Civil engineering has long played a pivotal role in shaping society’s infrastructure, focusing traditionally on construction, design, and the structural integrity of buildings, roads, and bridges. However, recent years have witnessed a profound transformation in the field, driven by the urgent need for sustainable practices and the rapid evolution of technology. This paper provides an in-depth analysis of the latest trends that are redefining civil engineering, with a particular emphasis …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 8–11 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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Using Fuzzy Control System Develop Boost DC-to-DC Converter
Abstract: The main motive of this study is to use MATLAB Simulation to design a FLC (fuzzy logical controller) for a boost DC-DC converter. By creating an FLC algorithm, the FLC was integrated into the system. This implies that the controller bases its control decisions on the concepts of fuzzy logic. The inductor has undergone extensive design and calculation work to guarantee that the transformer runs in mode of continuous conduction. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 22–28 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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The Effectiveness of a Nurse-led Cervical Cancer Prevention Program Among Reproductive-age Women in Selected Areas of Chennai
Abstract: Background: Cervical cancer remains a major global health issue, significantly impacting women's health. Early detection and preventive measures through screening, along with enhanced awareness, are vital in lowering mortality rates associated with this disease. This study aimed to evaluate the effectiveness of a nurse-led cervical cancer prevention program in improving knowledge and practice related to cervical cancer prevention among women. Methods: This quasi-experimental study was conducted with 60 women divided …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 6–13 Read article
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A Descriptive Study to Assess the Effectiveness of Instructional Modules on Knowledge Regarding Challenges Faced by Rural Community People on Cancer Preventive Measures Among People Living in the Selected Community Area, Palakkad District
Abstract: This study employed a quantitative approach with a descriptive study design to assess the knowledge and challenges faced by rural communities regarding cancer preventive measures. A total of sixty participants were selected using purposive sampling, which is non-probability based. Data were gathered through a semi-structured questionnaire to capture demographic information, alongside a structured questionnaire specifically designed to evaluate knowledge on cancer prevention challenges within the rural population. The collected data …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 26–33 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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An Evaluation of the Impact of a Structured Teaching Program on Staff Nurses' Knowledge of Low Back Pain Prevention in Intensive Care Units at Selected Hospitals in Bangalore
Abstract: The study aimed to assess the knowledge of ICU nurses concerning the prevention of low back pain (LBP), determine the effectiveness of a structured teaching program (STP) in improving their knowledge, and examine the relationship between pre-test knowledge levels and various demographic factors. A pre-experimental research design was utilized, featuring a one-group pre-test and post-test method. The study employed non-probability convenience sampling to recruit 60 ICU nurses for participation. Data …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article