Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 59371 - 59400 of 1820591

Full-Text Articles in Entire DC Network

Mapping Relational Database To Full-Text Xml For Open Journal System Cross-Platform Article Distribution, Chee-Xiang Ling, Kok-Why Ng, Heru Agus Santoso Oct 2025

Mapping Relational Database To Full-Text Xml For Open Journal System Cross-Platform Article Distribution, Chee-Xiang Ling, Kok-Why Ng, Heru Agus Santoso

Journal of Informatics and Web Engineering

In academic publications, the automation of full-text eXtensible Markup Language (XML) is increasingly essential, as generating full-text XML for article distribution is a complex and time-consuming process that requires metadata extraction from a relational database and transformation into hierarchical structures such as Journal Article Tag Suite (JATS). The lack of automation in this transformation process may cause inconsistencies and inaccuracies and may cause errors due to human error. The primary aim is to develop an automation system for transforming metadata from a relational database to full-text XML by reducing errors and speeding the process of generating full-text XML. This is …

Go to article

Exploring Generative Ai Recommender Systems In E-Commerce: Model, Evaluation Metric, And Comparative Review, Wan-Er Kong, Tong-Ern Tai, Palanichamy Naveen, Kok-Why Ng, Lucia Dwi Krisnawati Oct 2025

Exploring Generative Ai Recommender Systems In E-Commerce: Model, Evaluation Metric, And Comparative Review, Wan-Er Kong, Tong-Ern Tai, Palanichamy Naveen, Kok-Why Ng, Lucia Dwi Krisnawati

Journal of Informatics and Web Engineering

Generative Artificial Intelligence (GAI) is changing what can be done with Recommender Systems (RS) in e-commerce by allowing much more interactive, situationally aware, and highly tailored experiences for users. The purpose of this paper is to provide overall insight into how GAI, including Large Language Models (LLMs), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other emerging methods, is affecting the building and running of modern e-commerce RS. This paper classifies generative models into groups based on the type of models used, data modality, and specific domain of application. Their involvement in tasks such as personalized product ranking, content generation, …

Go to article

User Behaviour Prediction In E-Commerce Using Logistic Regression, Wei-Wen Lee, Noramiza Hashim, Shaymaa Al-Juboori Oct 2025

User Behaviour Prediction In E-Commerce Using Logistic Regression, Wei-Wen Lee, Noramiza Hashim, Shaymaa Al-Juboori

Journal of Informatics and Web Engineering

From a psychological perspective, human behaviour reflects underlying thoughts and decision-making patterns, for example, consumer behaviour may correlate with the purchase decisions. In the fast-evolving e-commerce industry, predicting user behaviour is essential for enhancing marketing strategies, improving customer experiences, and increasing sales. However, traditional heuristic (e.g. market basket analysis) approaches to analyse buyer behaviour are often rigid and fail to adapt to complex consumer interactions. This research work develops a predictive model that analyses user behaviour based on data such as historical purchasing patterns and demographic attributes. Based on a review of previous studies, Logistic Regression (LR) is utilized as …

Go to article

Identifying The Barriers To Digital Financial Inclusion In The Most Financially Excluded Country Using Machine Learning Algorithm, Yin Ting Chin, Hui Shan Lee Oct 2025

Identifying The Barriers To Digital Financial Inclusion In The Most Financially Excluded Country Using Machine Learning Algorithm, Yin Ting Chin, Hui Shan Lee

Journal of Informatics and Web Engineering

Despite the call of digital financial services (DFS) to improve inclusive growth and reduce poverty, the adoption of DFS remains low in Nigeria. The objective of this study is to examine the barriers of ability, access and usage of DFS in Nigeria. This study uses secondary data Global Findex year 2017 and year 2021 to predict the socioeconomic factors on the target variables of DFS (ability, access and usage). Using a machine learning (ML) algorithm, namely the J48 decision tree in the Waikato Environment for Knowledge Analysis (WEKA) software, this study analyses the predictive strength of variables such as gender, …

Go to article

Robust Lane Detection Under Varying Lighting Conditions Using Adaptive Vision-Based Techniques, Habibatelrahman Mosaad Abdelfattah Mohamed Abdelaal, Tee Connie, Michael Kah Ong Goh Oct 2025

Robust Lane Detection Under Varying Lighting Conditions Using Adaptive Vision-Based Techniques, Habibatelrahman Mosaad Abdelfattah Mohamed Abdelaal, Tee Connie, Michael Kah Ong Goh

Journal of Informatics and Web Engineering

Reliable lane detection is crucial to autonomous driving but continues to be challenging with varying lighting conditions. Fluctuations in illuminations due to bright sunlight, shadows or low lighting at night can degrade the visual quality and adversely affect the accuracy of the lane detection results. This research proposes an adaptive approach for lane detection under different lighting scenarios. For daytime, a Region of Interest (ROI) masking and line averaging technique help in the stability and visibility of the lane markings. For nighttime conditions, a Probabilistic Hough Transform-based method improves lane detection in low-light environments. An evaluation tool has been developed …

Go to article

Editorial: Ai-Enhanced Computing And Digital Transformation, Hairulnizam Mahdin Oct 2025

Editorial: Ai-Enhanced Computing And Digital Transformation, Hairulnizam Mahdin

Journal of Informatics and Web Engineering

Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal of Informatics and Web Engineering on AI-Enhanced Computing and Digital Transformation brings together contributions that reflect both technical innovation and societal applications. The featured articles span optimization methods, software quality improvements, data augmentation techniques, intelligent mobile applications, blockchain-based governance systems, and disaster management platforms. Together, they illustrate how computational advances not only strengthen efficiency and accuracy but also enable resilience in the face of global challenges. From a technical standpoint, metaheuristic …

Go to article

Real-Time Read And Analysis Of Air Pollution Produced From Private Electrical Generators In Mosul City Using Lorawan, Mahmood Alfathe, Awfa Aladwani, Ali Abduljabbar Oct 2025

Real-Time Read And Analysis Of Air Pollution Produced From Private Electrical Generators In Mosul City Using Lorawan, Mahmood Alfathe, Awfa Aladwani, Ali Abduljabbar

Journal of Informatics and Web Engineering

This study presents a novel, site-specific deployment of a Long Range Wide Area Network (LoRaWAN)-driven air pollution monitoring network specifically for the Iraqi city of Mosul, which is beset by widespread power outages and extensive utilization of decentralized diesel generators. While these generators mitigate electricity shortages, they are enormous contributors to urban air pollution, emitting high levels of CO2 and particulates. As opposed to previous studies, which concentrate on affluent urban areas, this research addresses a very deprived locale using an extensible low-power, low-cost LoRaWAN network and high-precision CO2 sensors (Sensirion SCD30 and MH-Z19) and The Things Network (TTN) for …

Go to article

A Scoping Review Of Artificial Intelligence Research Trends In Mobile Applications, Asmau Usman, Ibrahim Anka Salihu, Abdulrahman Aminu Ghali, Bilkisu Larai Muhammad Bello, Aminu Aminu Mu'azu, Amina Sambo Magaji Oct 2025

A Scoping Review Of Artificial Intelligence Research Trends In Mobile Applications, Asmau Usman, Ibrahim Anka Salihu, Abdulrahman Aminu Ghali, Bilkisu Larai Muhammad Bello, Aminu Aminu Mu'azu, Amina Sambo Magaji

Journal of Informatics and Web Engineering

Over the past decade, mobile devices have become an integral part of our daily routines, offering a broad spectrum of applications that enhance everyday tasks. As more people adopt smartphones, developers are increasingly focusing on improving app quality, particularly by incorporating artificial intelligence (AI) features. This growing trend has led to a surge of interest from both researchers and industry experts, who are aiming to explore AI integration in sectors such as healthcare, education, agriculture, and e-commerce. This study conducts a thorough review of AI applications on mobile platforms by analysing 98 scholarly articles published between 2014 and 2024 from …

Go to article

Impact Of Data Quality Types On Computational Time In Data Source Selection Using Ant Colony Optimization, Nor Amalina Mohd Sabri, Abd Samad Hasan Basari, Nurul Akmar Emran Oct 2025

Impact Of Data Quality Types On Computational Time In Data Source Selection Using Ant Colony Optimization, Nor Amalina Mohd Sabri, Abd Samad Hasan Basari, Nurul Akmar Emran

Journal of Informatics and Web Engineering

Data quality varies dramatically from source to source, even within the same domain. Given these challenges, data source selection has emerged as a crucial step in information integration. It demands efficient and scalable approaches that can handle massive data volumes while ensuring the quality of results. Adapting the ACO algorithm to solve the data sources selection problems may lead to inconsistent computational time if the data sources provided are vary in quality. These challenges bring the issues of time consuming in selecting the required data sources. However, how much the computational time needed in solving the data sources selection is …

Go to article

Lightweight String Similarity Approaches For Duplicate Detection In Academic Titles, Fahrudin Mukti Wibowo, Muhammad Zidny Nafan, Muhamad Azrino Gustalika, Harinda Fernando, Muhammad Hussain, Nur Afiqah Sahadun Oct 2025

Lightweight String Similarity Approaches For Duplicate Detection In Academic Titles, Fahrudin Mukti Wibowo, Muhammad Zidny Nafan, Muhamad Azrino Gustalika, Harinda Fernando, Muhammad Hussain, Nur Afiqah Sahadun

Journal of Informatics and Web Engineering

This study addresses the critical challenge of detecting duplicate final year project (FYP) titles in academic institutions, where minor variations like reordering, synonyms, and paraphrasing often obscure plagiarism. We systematically evaluate four string similarity algorithms - Jaro-Winkler, Levenshtein Edit Distance, TF-IDF with Cosine Similarity, and Jaccard Similarity - using a synthetic dataset of 250 title pairs representing common duplication patterns. Our experiments reveal that character-based methods (Jaro-Winkler and Edit Distance) achieve perfect detection (F1-score=1.0) for literal matches, including typographical variations and phrase reordering. At the same time, TF-IDF demonstrates strong semantic capability (F1-score=0.95), albeit with some false positives. Jaccard Similarity …

Go to article

Improving Code Effectiveness Through Refactoring: A Case Study, Abdullah Almogahed, Manal Othman, Mazni Omar, Samera Obaid Barraood, Abdul Rehman Gilal Oct 2025

Improving Code Effectiveness Through Refactoring: A Case Study, Abdullah Almogahed, Manal Othman, Mazni Omar, Samera Obaid Barraood, Abdul Rehman Gilal

Journal of Informatics and Web Engineering

Software refactoring is a crucial practice in modern software development methodologies, such as Agile and DevOps, as it enables teams to iteratively improve and evolve their codebases while minimizing the risk of introducing bugs or regressions. It fosters a culture of continuous improvement and code hygiene, ultimately leading to more robust, maintainable, and scalable software systems. However, research examining the impact of refactoring on code effectiveness is scarce. This study, therefore, seeks to investigate the impact of refactoring methods on the code’s effectiveness. The study was carried out in four distinct phases: refactoring methods selection, case study selection, software metric …

Go to article

Societies’ Funds Management System Using Blockchain, Jun Xiang Lau, Nur Ziadah Harun, Suziyanti Marjudi, Abd Samad Hasan Basari, Nur Amlya Abd Majid, Roziyani Setik Oct 2025

Societies’ Funds Management System Using Blockchain, Jun Xiang Lau, Nur Ziadah Harun, Suziyanti Marjudi, Abd Samad Hasan Basari, Nur Amlya Abd Majid, Roziyani Setik

Journal of Informatics and Web Engineering

Lack of transparency of the funds and lack of immutability of the funds’ records are large problems today, especially in the societies’ funds. Leveraging the Ethereum Blockchain, the system ensures complete transparency and security in recording and accessing financial transactions for any society. Advanced encryption and blockchain consensus protocols guarantee data privacy and resilience against fraud or tampering. The information entered in the system helps the treasurer to effectively manage funds and accurately and transparently pass appropriate financial transactions. This project meets the challenges of transparency and immutability in society’s fund records, providing an assurance system and promoting growth for …

Go to article

Implementation Of Conjugate Gradient Method For Estimating Inflation Rate In Malaysia, Shin Yi Wong, Nur Syarafina Mohamed, Norhaslinda Zullpakkal Oct 2025

Implementation Of Conjugate Gradient Method For Estimating Inflation Rate In Malaysia, Shin Yi Wong, Nur Syarafina Mohamed, Norhaslinda Zullpakkal

Journal of Informatics and Web Engineering

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method which is commonly used to solve large-scale unconstrained optimization systems with less storage space. Recently, various optimization methods have been studied and used in economics estimating. However, just a few studies have predicted inflation rate using modified CG method. Random initial points are tested on New Three-Terms (NTT) which are modified Rivaie-Mustafa-Ismail-Leong (RMIL+) and Umar Mustapha Waziri (UMW) CG method with ten optimization test functions suggested by Andrei using MATLAB. …

Go to article

Conjugate Gradient Methods In Fitting Precipitation Of Rainfall Data In Malaysia, Hua Ru Tang, Nur Syarafina Mohamed, Nurul Hajar Mohd Yusoff, Norhaslinda Zullpakkal Oct 2025

Conjugate Gradient Methods In Fitting Precipitation Of Rainfall Data In Malaysia, Hua Ru Tang, Nur Syarafina Mohamed, Nurul Hajar Mohd Yusoff, Norhaslinda Zullpakkal

Journal of Informatics and Web Engineering

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has always been an interest to the current researchers in improving the formulation which are categorized into three-term (TTCGM), spectral (SCGM), hybrid and scaled CGM. Although there are many variations of the CGM available, choosing the most efficient and effective one for a particular problem can be a time-consuming process. In this study, spectral Hestenes-Stiefel (sHS) CGM with the greatest NOI and central processing time per unit (CPU time) …

Go to article

Enhancing Imbalanced Data Augmentation: A Comparative Study Of Ganified-Smote And Latent Factor Integration, Rusma Anieza Ruslan, Nureize Arbaiy, Pei-Chun Lin Oct 2025

Enhancing Imbalanced Data Augmentation: A Comparative Study Of Ganified-Smote And Latent Factor Integration, Rusma Anieza Ruslan, Nureize Arbaiy, Pei-Chun Lin

Journal of Informatics and Web Engineering

One such serious problem in machine learning (ML) is imbalanced datasets. Minority class samples are usually sparse but hold significant meaning. The model can become biased toward the majority class due to unbalanced class distribution. This results in fraudulently high accuracy without being able to detect minority cases. This bias is also most perilous in critical applications, where ignoring minority cases can be highly destructive. To overcome this problem, the Synthetic Minority Oversampling Technique (SMOTE) is one of the most widely used. SMOTE creates balanced class distribution by interpolating between existing minority samples. It creates samples that are too close …

Go to article

Re: Comments On The Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan (Dated September 23, 2025), Emma Rott Oct 2025

Re: Comments On The Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan (Dated September 23, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Go to article

Comparative Responsiveness Of Preference-Based Health-Related Quality Of Life, Social Care, And Well-Being Measures In The Context Of Multiple Sclerosis, Elizabeth Goodwin, Amy Heather, Nia Morrish, Jenny Freeman, Kate Boddy, Sarah Thomas, Jeremy Chataway, Rod Middleton, Annie Hawton Oct 2025

Comparative Responsiveness Of Preference-Based Health-Related Quality Of Life, Social Care, And Well-Being Measures In The Context Of Multiple Sclerosis, Elizabeth Goodwin, Amy Heather, Nia Morrish, Jenny Freeman, Kate Boddy, Sarah Thomas, Jeremy Chataway, Rod Middleton, Annie Hawton

School of Health Professions

Objectives: To provide evidence on the responsiveness of social care and well-being preference-based measures (PBMs) compared with health-related quality of life PBMs in the context of multiple sclerosis (MS). Methods: The ICEpop CAPability measure for Adults (ICECAP-A) and Adult Social Care Outcomes Toolkit (ASCOT) were completed online in September 2019, March 2020, September 2020, via the UK MS Register. Responses were linked to EQ-5D-3L and MS Impact Scale-8 Dimensions (MSIS-8D) values, and to MS Walking Scale-12, Hospital Anxiety and Depression Scale (HADS), and Fatigue Severity Scale scores. Responsiveness was assessed in relation to minimal important differences on MS Walking Scale-12, …

Go to article

Differential Patterns Of Gut And Oral Microbiomes In Hispanic Individuals With Cognitive Impairment, Yannick N. Wadop, Erin L. Vasquez, Julia J. Mathews, Jazmyn A. S. Muhammad, Rosa P. Mavarez, Claudia Satizabal, Mitzi M. Gonzales, Jeremy A. Tanner, Gladys E. Maestre, Bernard Fongang Oct 2025

Differential Patterns Of Gut And Oral Microbiomes In Hispanic Individuals With Cognitive Impairment, Yannick N. Wadop, Erin L. Vasquez, Julia J. Mathews, Jazmyn A. S. Muhammad, Rosa P. Mavarez, Claudia Satizabal, Mitzi M. Gonzales, Jeremy A. Tanner, Gladys E. Maestre, Bernard Fongang

School of Medicine Publications

Alterations in both oral and gut microbiomes have been associated with Alzheimer's disease and related dementia (ADRD). While extensive research has focused on the role of gut dysbiosis in ADRD, the contribution of the oral microbiome remains relatively understudied. This study aims to evaluate distinct patterns and potential synergistic effects of oral and gut microbiomes in a cohort of predominantly Hispanic individuals with cognitive impairment (CI) and without cognitive impairment (NC). We conducted 16S rRNA gene sequencing on stool and saliva samples from 32 participants (17 CI, 15 NC; 62.5% female, mean age = 70.4 ± 6.2 years) recruited in …

Go to article

Generative Modeling For Interpretable Anomaly Detection In Medical Imaging: Applications In Failure Detection And Data Curation, Mckell E Woodland, Mais Altaie, Caleb S O'Connor, Austin H Castelo, Olubunmi C Lebimoyo, Aashish C Gupta, Joshua P Yung, Paul E Kinahan, Clifton D Fuller, Eugene J Koay, Bruno C Odisio, Ankit B Patel, Kristy K Brock Oct 2025

Generative Modeling For Interpretable Anomaly Detection In Medical Imaging: Applications In Failure Detection And Data Curation, Mckell E Woodland, Mais Altaie, Caleb S O'Connor, Austin H Castelo, Olubunmi C Lebimoyo, Aashish C Gupta, Joshua P Yung, Paul E Kinahan, Clifton D Fuller, Eugene J Koay, Bruno C Odisio, Ankit B Patel, Kristy K Brock

Faculty, Staff and Students Publications

This work aims to leverage generative modeling-based anomaly detection to enhance interpretability in AI failure detection systems and to aid data curation for large repositories. For failure detection interpretability, this retrospective study utilized 3339 CT scans (525 patients), divided patient-wise into training, baseline test, and anomaly (having failure-causing attributes—e.g., needles, ascites) test datasets. For data curation, 112,120 ChestX-ray14 radiographs were used for training and 2036 radiographs from the Medical Imaging and Data Resource Center for testing, categorized as baseline or anomalous based on attribute alignment with ChestX-ray14. StyleGAN2 networks modeled the training distributions. Test images were reconstructed with backpropagation and …

Go to article

An Exploration Of The Career Choices Of Nursing And Midwifery Students In A Uk University: A Survey, Kevin Hambridge, Frazer Underwood, Gosia Bettache, Matt Carey, Mohamed Eid, Lisa Burrows, Christian Brailsford, Rachel Tims Oct 2025

An Exploration Of The Career Choices Of Nursing And Midwifery Students In A Uk University: A Survey, Kevin Hambridge, Frazer Underwood, Gosia Bettache, Matt Carey, Mohamed Eid, Lisa Burrows, Christian Brailsford, Rachel Tims

School of Nursing and Midwifery

AbstractBackground:There is a worldwide shortage of nurses, so an increase in the supply of graduating nurses is needed. Little is known about nursing students' career choices and the reasons why certain jobs, specialties and locations are chosen. Gaining a better understanding of these choices could help healthcare employers to plan the nursing workforce of the future.Aims:The study explored the career choices of nursing and midwifery students.Methods:A convenience sample of 163 final-year nursing, midwifery and nursing associate students responded to an online survey exploring career choices.Findings:Most students (87.1%; n=142) had secured their first job, with the vast majority staying in the …

Go to article

Needs Analysis Of Interactive Learning Media For Teachingheat Transfer In Physics: Students’ And Teachers’Perspectives, Rizki Eka Shintya, Ika Mustika Sari, Ida Kaniawati Oct 2025

Needs Analysis Of Interactive Learning Media For Teachingheat Transfer In Physics: Students’ And Teachers’Perspectives, Rizki Eka Shintya, Ika Mustika Sari, Ida Kaniawati

Jurnal Pendidikan Sains

Heat transfer material in physics is known to be abstract. This study specifically analyzes the conceptual difficulties, and visualization needs specific to this material, which is different from the analysis of physics needs in general. This analysis does not only look for the need for traditional media but explicitly looks for the need for interactive media (simulation, animation, virtual laboratory). Therefore, this study aims to identify the need for interactive learning media in physics education, specifically in the teaching of heat transfer, from the perspective of students and teachers in West Java, Indonesia. Using a quantitative descriptive survey, data were …

Go to article

Efficacy Of Teaching At The Right Level Approach Combined With The Problem-Based Learning Model On Science Learning Outcomes At Middle School, Heri Syahputra Azhar Panjaitan, Ryan Dwi Puspita Oct 2025

Efficacy Of Teaching At The Right Level Approach Combined With The Problem-Based Learning Model On Science Learning Outcomes At Middle School, Heri Syahputra Azhar Panjaitan, Ryan Dwi Puspita

Jurnal Pendidikan Sains

This research seeks to evaluate the efficacy of the Teaching at the Right Level (TaRL) strategy in conjunction with the Problem-Based Learning (PBL) model on the scientific learning outcomes of eighth-grade students at middle school Islam Terpadu Khairul Imam. This research addresses the inadequate scientific problem-solving abilities and science learning outcomes of Indonesian students, necessitating a more interactive and individualized instructional technique. The methodology used is a quasi-experimental design with a nonequivalent control group. The sample included two purposively chosen eighth-grade classes: one experimental class (n=25) underwent the TaRL–PBL intervention, whereas the control class (n=25) simply used the lecture approach. …

Go to article

Durability Assessment Of Low-Carbon Concretes Using Electrical Resistivity, Chloride Migration And Diffusion Modelling, Salim Malami, Dimitry Val, Benny Suryanto Oct 2025

Durability Assessment Of Low-Carbon Concretes Using Electrical Resistivity, Chloride Migration And Diffusion Modelling, Salim Malami, Dimitry Val, Benny Suryanto

International Conference on Durability of Concrete Structures

Durability design for reinforced concrete increasingly relies on performance-based indicators of transport processes that govern corrosion initiation. This study evaluates concretes with supplementary cementitious materials (SCMs) (fly ash (FA), ground-granulated blast-furnace slag (GGBS), limestone powder (LP), and limestone calcined clay cement (LC3)) using electrical resistivity and rapid chloride migration (RCM, NT Build 492) testing. Twelve mixes (w/b = 0.40 and 0.55), including binary and ternary binders benchmarked against Portland cement (PC), were tested. Resistivity was measured on cubes with embedded stainless-steel electrodes, whereas chloride diffusion coefficients were measured directly using the RCM method and compared with the values calculated from …

Go to article

Durability Assessment Of Low-Carbon Concrete Using Electrical Resistivity And Derived Transport Parameters, Elo Merit Imitini, Benny Suryanto, Bhaskar Sen Gupta Oct 2025

Durability Assessment Of Low-Carbon Concrete Using Electrical Resistivity And Derived Transport Parameters, Elo Merit Imitini, Benny Suryanto, Bhaskar Sen Gupta

International Conference on Durability of Concrete Structures

Effective assessment of reinforced concrete durability necessitates monitoring of concrete performance using straightforward yet robust technique over an extended period of time. This study investigates six low-carbon concrete mixes incorporating up to 70% Portland cement replacement using binary and ternary combinations of ground granulated blast furnace slag (GGBS), fly ash (FA), and limestone powder (LP). Electrical resistivity measurements were undertaken over a 360-day period and used to derive formation factors and instantaneous diffusion coefficients, offering insight into the evolving pore structure and ionic transport. The results showed that all mixes exhibited a progressive increase in resistivity, indicative of continued hydration …

Go to article

Aci Standards For Concrete Proportions, Qualification Testing And In-Process Testing During Construction, Nausherwan Hasan Oct 2025

Aci Standards For Concrete Proportions, Qualification Testing And In-Process Testing During Construction, Nausherwan Hasan

International Conference on Durability of Concrete Structures

This paper provides a summary of the American Concrete Institute (ACI) design standards concrete mixture proportions for various exposure conditions in USA. As defined by ACI 318, for each class of concrete and exposure condition, minimum water to cementitious ratio and compressive strength, are prescribed. The responsibility of selecting the concrete mixture proportions design rest with a Professional Engineer, licensed in the State where the construction is carried out. Trial batches of concrete are performed in accredited laboratory, in accordance with ACI 211.1, with adequate lead time to ensure that the test results are available, prior to construction. Attention is …

Go to article

Corrosion Risk Of Rc Structures Against Combined Chloride Ingress And Carbonation Under Future Climate Projections, C.S. Das, M.R. Ahmad, P. Zhang, J-.G. Dai Oct 2025

Corrosion Risk Of Rc Structures Against Combined Chloride Ingress And Carbonation Under Future Climate Projections, C.S. Das, M.R. Ahmad, P. Zhang, J-.G. Dai

International Conference on Durability of Concrete Structures

The deterioration of reinforced concrete (RC) structures is primarily caused by the corrosion of reinforcement due to chloride ingress or carbonation, with temperature playing a significant role in this process. This study presents a multi-physics modeling framework that integrates mass transport, electrochemical reactions, and material damage to simulate corrosion in RC structures. The model utilises experimentally validated parameters, including temperature-dependent chloride transport rates and binding capacities, to achieve enhanced accuracy. It was applied to assess the corrosion risk of RC structures in Hong Kong under various climate scenarios. Results showed that while higher temperatures accelerate chloride transport, they also increase …

Go to article

Investigation Of Capillary Pressure Evolution And Early-Age Shrinkage In Concrete Using A High-Capacity Tensiometer, Armin Jamali, Joao Mendes, Brabha Nagaratnam, Michael Lim Oct 2025

Investigation Of Capillary Pressure Evolution And Early-Age Shrinkage In Concrete Using A High-Capacity Tensiometer, Armin Jamali, Joao Mendes, Brabha Nagaratnam, Michael Lim

International Conference on Durability of Concrete Structures

Shrinkage-induced cracking is a critical durability concern in concrete structures, particularly those with low volume-to-surface ratios, leading to increased maintenance costs and reduced service life. Early-age concrete is especially vulnerable to shrinkage cracking due to its limited strength development. Capillary pressure is a primary driver of early-age shrinkage; however, conventional measurement techniques are limited to pressures below 100 kPa and durations of approximately seven hours post-casting, restricting a comprehensive understanding of capillary pressure evolution and its correlation with shrinkage and cracking potential. This study utilises a novel high-capacity tensiometer (HCT) capable of measuring capillary pressures up to 2000 kPa, significantly …

Go to article

Assessment Of Ggbs-Blended-Concrete Durability With Modified Water Permeability Method, Soumyaranjan Panda, Supratic Gupta, Saubhagya Kumar Panigrahi Oct 2025

Assessment Of Ggbs-Blended-Concrete Durability With Modified Water Permeability Method, Soumyaranjan Panda, Supratic Gupta, Saubhagya Kumar Panigrahi

International Conference on Durability of Concrete Structures

The construction industry is increasingly embracing sustainable materials to mitigate environmental concerns and reduce the carbon footprint of conventional practices. Concrete, a vital material in modern infrastructure, is valued for its versatility and durability. However, Ordinary Portland Cement (OPC), the primary binder in conventional concrete, presents significant environmental challenges, including high carbon dioxide emissions and substantial energy consumption. With an annual growth rate of 2.5%, cement production exacerbates these issues, necessitating sustainable alternatives. Ground granulated blast-furnace slag (GGBS), a byproduct of the iron industry, is a promising supplementary material. Its use reduces cement consumption, enhances sustainability, and promotes eco-friendly construction …

Go to article

Relationship Between Water Contents And Electrical Conductivity In Concrete, Ki-Tae Park, Jaehwan Kim, Dong-Woo Seo, Sangki Park Oct 2025

Relationship Between Water Contents And Electrical Conductivity In Concrete, Ki-Tae Park, Jaehwan Kim, Dong-Woo Seo, Sangki Park

International Conference on Durability of Concrete Structures

This study investigates the relationship between moisture absorption and electrical conductivity in concrete, aiming to evaluate the feasibility of using electrical impedance as a non-destructive indicator of moisture transport behaviour. Concrete specimens with varying water-to-cement (w/c) ratios were prepared and conditioned for 150 days under controlled air-drying conditions. Moisture absorption tests were conducted in accordance with ASTM C1585-20, and both weight change and impedance were measured over time. Impedance data were collected across a wide frequency range (10 Hz to 1 MHz) using a two-point measurement configuration, and direct current (DC) electrical conductivity was derived through nonlinear regression analysis based …

Go to article

Simple Probabilistic Method For Chloride Transport In Concrete, Jaehwan Kim, Sangki Park, Dong-Woo Seo, Ki-Tae Park, Joohyung Kim Oct 2025

Simple Probabilistic Method For Chloride Transport In Concrete, Jaehwan Kim, Sangki Park, Dong-Woo Seo, Ki-Tae Park, Joohyung Kim

International Conference on Durability of Concrete Structures

It is a well-known fact that reinforced concrete structures exposed to marine environments suffer from reinforcement corrosion due to chloride ingress, which degrades the performance of the structure. To address this issue, reinforced concrete structures are designed and constructed to have a service life of more than 100 years, but to ensure safety or durability, it is necessary to accurately predict the onset of reinforcement corrosion. Various prediction models have been developed for chloride transport in concrete, including physically based models, with Fick's 2nd law being the most commonly used empirically based model for chloride penetration in concrete. However, the …

Go to article

First Prev Next Last