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Discovering And Designing Novel Perovskite Photovoltaic Materials Via Machine Learning, Junyeong Ahn Jul 2025

Discovering And Designing Novel Perovskite Photovoltaic Materials Via Machine Learning, Junyeong Ahn

Discovery Undergraduate Interdisciplinary Research Internship

Perovskite semiconductors are promising materials for high-efficiency photovoltaics due to their outstanding optoelectronic properties, emerging as a sustainable energy source through solar cell applications. Perovskites with the ABX₃ composition (A, B = metal or organic cations with varying oxidation states; X = chalcogen or halogen anions) have gained interest for their excellent phase stability and compositional tunability. However, combinatorial possibilities arising from the many choices of A, B, and X site species, and their respective mixing fractions, a large number of possible ABX₃ perovskites remain undiscovered. In this work, we used machine learning (ML) methods to design new stable and …

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Derrida In Mesopotamia: On The Import Of The Cuneiform Inscriptions In Of Grammatology, Will Greenshields Jul 2025

Derrida In Mesopotamia: On The Import Of The Cuneiform Inscriptions In Of Grammatology, Will Greenshields

CLCWeb: Comparative Literature and Culture

Cuneiform writing has a small but privileged position in Derrida’s Of Grammatology – providing the text with its first two epigraphs. By elucidating the source and import of these inscriptions and evaluating Derrida’s understanding of the cuneiform writing system in reference to more recent grammatological studies, this paper explains the significance of these references to the ancient Near East for Derrida’s arguments regarding the origins of Western metaphysics and logocentrism. In the first part, I analyze Derrida’s brief paragraph on cuneiform writing in Of Grammatology as evincing a “fundamental synaesthesia” of phonetic and non-phonetic elements that problematizes the phonocentric definition …

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Wildlife Science Education For Grades 3–12, Natalie J. Carroll, Theodore Leuenberger, Katherine Leuenberger Jul 2025

Wildlife Science Education For Grades 3–12, Natalie J. Carroll, Theodore Leuenberger, Katherine Leuenberger

Purdue University Press Books

Wildlife Science Education for Grades 3–12 guides and encourages youth to learn about the wildlife around them. The first section introduces the basic wildlife groups to youth in upper elementary school using hands-on and other activity-based learning techniques. Young learners will understand the similarities and differences between mammals, birds, fish, and herptiles. The activities for middle schoolers expand the study to interactions within and between them. The lessons for high school students are based on topics of importance to homeowners, residents of a watershed, food and fiber producers (farmers), mayors, teachers, and policy makers. This section delves deeper into the …

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First Opinion: Look, Meagan Morris Jun 2025

First Opinion: Look, Meagan Morris

First Opinions, Second Reactions

No abstract provided.

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Academic Help-Seeking Resources For Construction Students: A Scoping Review, Luciana Debs, Alex Sander Clemente Souza Jun 2025

Academic Help-Seeking Resources For Construction Students: A Scoping Review, Luciana Debs, Alex Sander Clemente Souza

CIB Conferences

Previously, few resources were available for students seeking help with their undergraduate homework. These resources would often include peers, instructors, and textbook. However, today, in addition to the resources mentioned previously, many more options that provide just-in-time support for students’ learning exist, including online resources. Previous research has explored students’ help-seeking behavior online for basic sciences, general or engineering education. However, given the technical aspects of the construction discipline, it is unclear how construction students navigate the available resources and what those resources are. The present paper utilized a scoping review, evaluating 26 academic papers from Scopus to identify resources …

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Developing A Smart Retrofitting Decision-Making Model For Office Buildings: A Case Study, Sanduni Peiris, Joseph Lai, Mohan Kumaraswamy Jun 2025

Developing A Smart Retrofitting Decision-Making Model For Office Buildings: A Case Study, Sanduni Peiris, Joseph Lai, Mohan Kumaraswamy

CIB Conferences

In an era where the imperative for global sustainable development has never been more pronounced, this paper unveils the process in developing a novel, Smart Retrofitting (SR) decision-making model for buildings. With various intelligent automation routes/options offered by smart retrofits, streamlining the decision-making process in choosing the optimal retrofit options not only enhances efficiency but also empowers building stakeholders to play a pivotal role in advancing sustainable practices, fostering resource efficiency, and contributing to the global commitment to sustainable development goals. Employing a mixed-method approach, the early stages of this research, which involved an extensive literature review, a focus group …

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Smart Device Energy Adaptation: Critical Drivers Towards Energy Sustainability In Purpose-Built Student Housing Market In Ghana, Iruka C. Anugwo, Miller W. Appau, Elvis Attakora-Amaniampong, Jachike C. Anugwo Jun 2025

Smart Device Energy Adaptation: Critical Drivers Towards Energy Sustainability In Purpose-Built Student Housing Market In Ghana, Iruka C. Anugwo, Miller W. Appau, Elvis Attakora-Amaniampong, Jachike C. Anugwo

CIB Conferences

The high demand and energy consumption in student housing raise significant financial, social, environmental, and organizational concerns in achieving sustainability. This study assesses the critical drivers of smart energy adaptation among Purpose-Built student housing in Ghana. The study used a quantitative research method, whilst 225 questionnaire surveys were distributed among the student housing investors (through Public-Private Partnership) within eight public tertiary and technical universities in Ghana. The study findings uncovered eight energy devices used in student housing in Ghana, which were classified into entertainment, cooking, learning, ventilation, heating, laundry, consumer electronics, and personal grooming appliances. Thus, a 59%, 25%, and …

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Analyzing Employment Disparities In Construction Science & Management (Csm) Graduates For Specialty Trade Contractors (Stc), Vivek Sharma, Dhaval R. Gajjar, Stuti Garg, Adam Hoots, Gopika Viswanathan Jun 2025

Analyzing Employment Disparities In Construction Science & Management (Csm) Graduates For Specialty Trade Contractors (Stc), Vivek Sharma, Dhaval R. Gajjar, Stuti Garg, Adam Hoots, Gopika Viswanathan

CIB Conferences

The United States construction industry has grappled with labor shortages for years. Numerous studies have focused on attracting younger generations to the general contracting sector; however, more research needs to be conducted on why young graduates from construction science management (CSM) programs tend to favor general contracting over subcontracting careers. This research aims to bridge this gap by exploring the reasons behind the disinterest in subcontracting careers among recent graduates. The literature review identified several studies that examine the motivational factors and incentives driving individuals to work for Specialty Trade Contractors (STCs) in the construction industry. These studies also discuss …

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Generative Artificial Intelligence And Virtual Reality: Emerging Future Of The Building Component Inspection Training, Mohammad Movahedi, Carlos Bravo, Juyeong Choi Jun 2025

Generative Artificial Intelligence And Virtual Reality: Emerging Future Of The Building Component Inspection Training, Mohammad Movahedi, Carlos Bravo, Juyeong Choi

CIB Conferences

The assessment of building components, which is typically performed through visual inspections, is critical to the maintenance planning and other decisions made during the operation and use stage of the building life cycle. This paper introduces a framework leveraging generative artificial intelligence (Gen AI) and virtual reality (VR) to improve facility inspectors' training, which eventually can help with the informed decisions that stakeholders should make. Buildings are complex facilities that demand precise and unbiased condition evaluations. Traditional training approaches rely heavily on limited texture images and descriptions collected in prior studies, which restrict the range of conditions inspectors can study …

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Impact Of Climate Change On Cities: Analyzing Building Energy Use In Future Climate Scenarios Through A Hybrid Computational Approach, Heng Quan, Semiha Ergan Jun 2025

Impact Of Climate Change On Cities: Analyzing Building Energy Use In Future Climate Scenarios Through A Hybrid Computational Approach, Heng Quan, Semiha Ergan

CIB Conferences

Under global warming, cities need accurate predictions of building energy use to ensure energy supply and guide urban planning and policy decisions. Traditional data-driven methods struggle to project future scenarios due to the lack of training data reflecting anticipated climate conditions. This study presents a novel approach by integrating the Degree Day Model (DDM) with a Knowledge-Based Neural Network (KBNN). The DDM quantifies heating and cooling demands based on temperature deviations, providing domain-specific insights that enhance the KBNN's ability to extrapolate. We trained our KBNN using monthly energy consumption data from over a thousand New York City buildings, along with …

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Strategic Solutions To Align Contractor Capacities With Water Infrastructure Demands: A Case Study, Hamidreza Peivastehgar, Monty Sutrisna, Mostafa Jelodar, An Le Jun 2025

Strategic Solutions To Align Contractor Capacities With Water Infrastructure Demands: A Case Study, Hamidreza Peivastehgar, Monty Sutrisna, Mostafa Jelodar, An Le

CIB Conferences

This research investigates solutions for bridging the gap between future water infrastructure demands and the contractor capacities in Watercare’s service zone. Using forecast models to evaluate urban infrastructure requirements and contractor capabilities, this study identifies significant discrepancies and explores three strategic approaches: capacity enhancement, project rescheduling, and external contractor attraction. The methodology includes data-driven forecasting, scenario analysis, and stakeholder consultation. Findings highlight the importance of proactive planning to ensure alignment, with implications for policy development and infrastructure management.

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Using Case Studies To Determine Automatable Activities In Construction Bid Preparation, Oscar Kwame Kwasafo, Samuel Laryea, Neil Govender Jun 2025

Using Case Studies To Determine Automatable Activities In Construction Bid Preparation, Oscar Kwame Kwasafo, Samuel Laryea, Neil Govender

CIB Conferences

The purpose of this study is to determine the automation potential of the key activities in the construction bid proposal preparation process. The activities were analyzed for their capability of being fully or partially automated based on a predetermined approach towards developing a bid automation model while aligning with the Sustainable Development Goals (SDGs) related to industry innovation and infrastructure. Case studies were conducted with two major engineering consulting firms in South Africa to identify and understand the key activities in the bid proposal preparation process. The research reveals that key activities like content review and requirements summary preparation, method …

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Machine Learning For The Prediction Of Rework In Green Buildings, Abdullateef Olanrewaju Jun 2025

Machine Learning For The Prediction Of Rework In Green Buildings, Abdullateef Olanrewaju

CIB Conferences

Green buildings were developed to reduce the negative impact of construction on occupants, communities, and the environment, while also improving contractor productivity and profit margins. However, construction companies have documented instances of rework in green buildigs, despite the advantages and potential of sustainable building designs. This paper reports research that identified the prediction of rework green buildings; Eight machine learning models were trained to predict the occurrence of reworks in green buildings. The dataset consisted of 65 responses and 16 features. Feature scaling and normalisation to standardise the features were performed across the dataset. The research finds variation in the …

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Assessing Ai Techniques For Precision In Property Valuation: A Systematic Review Of The Four Valuation Methods, Wajhat Ali, Don A.S. Samarasinghe, Zhenan Feng, James O B Rotimi Prof Jun 2025

Assessing Ai Techniques For Precision In Property Valuation: A Systematic Review Of The Four Valuation Methods, Wajhat Ali, Don A.S. Samarasinghe, Zhenan Feng, James O B Rotimi Prof

CIB Conferences

Property valuation is a critical component of real estate management, influencing decisions on investments, sales, and financing. Traditional methods, such as Linear Regression and Multiple Regression Analysis, often struggle to address the complexities of modern property markets. In response, Artificial Intelligence (AI) offers innovative solutions by utilising advanced models for more accurate predictions of property value. This paper presents a Systematic Literature Review (SLR) using Scopus database, focusing on 37 selected papers. It evaluates the effectiveness of key AI models in property valuation, assessing their predictive power, interpretability, robustness, and flexibility, and examines how well these models generate reliable valuations …

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State-Of-The-Art In The Use Of Generative System Models In The Built Environment, Jose Paolo Gregorio A. Calma, Claudio Martani, Hazar Dib Jun 2025

State-Of-The-Art In The Use Of Generative System Models In The Built Environment, Jose Paolo Gregorio A. Calma, Claudio Martani, Hazar Dib

CIB Conferences

The challenge of optimizing design in the built environment lies in evaluating a wide range of potential options to achieve sustainable, efficient, and cost-effective outcomes over the lifecycle of assets. Traditional methods struggle to generate and assess multiple design alternatives, limiting optimization effectiveness. Generative Systems Modeling (GSM) offers a promising approach by creating diverse, data-driven design options automatically. This literature review explores GSM’s use in built environment optimization, focusing on its objectives, processes, and applications, while identifying trends and areas for future development to enhance its impact on construction and infrastructure projects.

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What Is Stopping Building Information Modeling (Bim)-Based Whole Life Carbon Assessment Of Buildings In Hong Kong?, Anson Tsz Kwan Chan, Amos Darko, Selorm E. Adukpo, Stephen L.M. Au Jun 2025

What Is Stopping Building Information Modeling (Bim)-Based Whole Life Carbon Assessment Of Buildings In Hong Kong?, Anson Tsz Kwan Chan, Amos Darko, Selorm E. Adukpo, Stephen L.M. Au

CIB Conferences

Building information modeling (BIM)-based whole life carbon assessment (WLCA) of buildings is critical to reaching Hong Kong’s 2050 Net Zero target. However, the adoption of BIM-based WLCA is not as apparent as it should have been. This study aims to examine the criticality of various challenges that prevent the wide adoption of BIM-based WLCA in Hong Kong. To this end, 20 challenges were identified from a comprehensive literature review, and a questionnaire survey was performed with 80 construction professionals. The mean score ranking analysis results indicated that 13 challenges were critical. The top three most critical challenges were “data collection …

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Decomposing Traffic Flow Patterns Under Extreme Weather: A Novel Field-Theoretic Framework Using Discrete Differential Operators, Xuhui Lin, Qiuchen Lu, Yi An, Tao Yang, Junqing Tang Jun 2025

Decomposing Traffic Flow Patterns Under Extreme Weather: A Novel Field-Theoretic Framework Using Discrete Differential Operators, Xuhui Lin, Qiuchen Lu, Yi An, Tao Yang, Junqing Tang

CIB Conferences

Extreme weather events increasingly challenge urban transportation systems, requiring advanced methods to understand and predict traffic adaptations. Traditional graph-based approaches to traffic analysis, while effective for static conditions, struggle to capture the continuous and dynamic nature of flow patterns during weather disruptions. Current methods lack the mathematical framework to bridge discrete network structures with continuous flow dynamics, particularly in analyzing how traffic patterns reorganize under stress. This paper presents a novel field-theoretic framework for analyzing traffic flow patterns, integrating Hodge decomposition with continuous field visualization. The framework decomposes traffic flows into three fundamental components: gradient flows representing direct movements, curl …

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The Exploring Of The Importance Of Indoor Environmental Factors In University Educational Spaces Based On Participants' Psychology, Hanyu Zhou, Zhaozhe Yang, Wenchang Wang, Chang’An Liu, Yifan Ding Jun 2025

The Exploring Of The Importance Of Indoor Environmental Factors In University Educational Spaces Based On Participants' Psychology, Hanyu Zhou, Zhaozhe Yang, Wenchang Wang, Chang’An Liu, Yifan Ding

CIB Conferences

The comfort feeling of human body to indoor environment is a comprehensive reflection of multi-factor interaction. The research on human comfort is developing from single factor to multi-factor interaction. At present, the research on indoor environmental quality (IEQ) is limited to the single IEQ domain of heat, sound, light and air quality or the interaction of environmental factors between two IEQ domains, while the research on the relationship between comfort and psychological emotion is relatively scarce. Based on this, this paper takes the education space related to the art museum and college student activity center of Shandong Jianzhu University as …

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Water Quality Sensing System Based On Sdgs: A Case Study Of Penghu Taiwan, Feng-Jun Huang, Hao Yang, Ming-Ta Yang Jun 2025

Water Quality Sensing System Based On Sdgs: A Case Study Of Penghu Taiwan, Feng-Jun Huang, Hao Yang, Ming-Ta Yang

CIB Conferences

To support SDG 14, this study presents a buoy-based water quality monitoring system designed for cage aquaculture in Penghu, Taiwan. The system floats on the sea, enabling continuous water quality monitoring with real-time location tagging. It consists of three main components: an offshore buoy, an on-site client, and a remote server. The offshore client, controlled by an NI myRIO, integrates various water quality sensors and a GPS module to accurately measure pH, oxidation-reduction potential, dissolved oxygen, total dissolved solids, and conductivity. GPS data is transmitted to the remote server for real-time location display.The server, programmed with LabVIEW, handles data processing …

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Evaluation Of The Hygrothermal Behavior Of A Full-Scale Adobe Evaporative Cooler: A Possible Solution For Food Storage In Vulnerable Communities., Camila Catherine De Morais Cassundé, Andrea Naguissa Yuba Jun 2025

Evaluation Of The Hygrothermal Behavior Of A Full-Scale Adobe Evaporative Cooler: A Possible Solution For Food Storage In Vulnerable Communities., Camila Catherine De Morais Cassundé, Andrea Naguissa Yuba

CIB Conferences

Using evaporative cooling to preserve food using artisanal construction techniques on land is an alternative to provide more autonomy for vulnerable communities. Still, studies are needed to prove their efficiency under different conditions. An adobe evaporative cooler with a capacity for 1 ton of produce was developed and built by Davalo (2021) in Campo Grande, MS, Brazil, and required additional studies of hygrothermal behavior and efficiency. To give sequence to her work, this research is conducted by the same lab, and aimed to determine the best operating conditions of this cooler through complementary real measurements of hygrothermal performance and determine …

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A Conceptual Framework For Measuring Productivity And Performance In Industry 5.0: A Built Environment Perspective, Godfaurd A. John, Kasun Gomis, Kelechi Bukola Babatunde Jun 2025

A Conceptual Framework For Measuring Productivity And Performance In Industry 5.0: A Built Environment Perspective, Godfaurd A. John, Kasun Gomis, Kelechi Bukola Babatunde

CIB Conferences

The construction industry in most countries is an early indicator of the nation’s economic health. When things are buoyant and the construction market is booming, it indicates the state of the viability of the country’s economic position. The model used in measuring productivity since WWII (e.g., labour productivity, GDP per capita, multifactor productivity) does not seem suitable for the emerging industry 5.0 (I5.0), considering the prevailing factors within the Built Environment (BE). These metrics are optimised over the years to provide detailed and comprehensive insights into productivity trends and drivers, which lacks necessary attributes to measure productivity and performance in …

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Circular Economy And Leed V4: Benchmarking Materials And Resources Credit Achievement, Radwa Eissa, Islam H. El-Adaway Jun 2025

Circular Economy And Leed V4: Benchmarking Materials And Resources Credit Achievement, Radwa Eissa, Islam H. El-Adaway

CIB Conferences

Previous studies consistently highlight a gap in the achievement of Materials and Resources (MR) credits across different versions of the LEED (Leadership in Energy and Environmental Design) rating system, despite its critical role in the transition to a Circular Economy (CE). Furthermore, there is a lack of studies benchmarking the level of the MR credit achievement in the latest version of LEED, v4. This paper examines the integration of CE principles in LEED v4 BD+C (Building Design and Construction): NC (New Construction and Major Renovations), focusing on the 971 certified projects in the US. The study benchmarks the achievement degrees …

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Uav-Dl-Based Computer Vision Framework For Construction Worker Pose Estimation, Roy Lan, Ibukun Awolusi Jun 2025

Uav-Dl-Based Computer Vision Framework For Construction Worker Pose Estimation, Roy Lan, Ibukun Awolusi

CIB Conferences

Traditional ergonomic assessments in construction are limited by subjectivity, intermittent monitoring, and scalability challenges. To address these issues, this study presents a framework integrating unmanned aerial vehicles (UAVs) and deep learning-based computer vision for automated ergonomic risk assessment of construction workers. The framework utilizes UAVs to capture aerial footage of workers, enabling continuous monitoring across large and complex sites. Leveraging MediaPipe for pose estimation, the framework detects key body landmarks and calculates joint angles, providing an objective representation of worker postures. These joint angles are then mapped to the Rapid Entire Body Assessment (REBA) scoring system through custom algorithms, which …

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Sdg 12 Sustainable Consumption Through Reduction Of Cost Overrun By Identification Of Major Construction Waste Components Using The Pareto Rule, Gabriel Nani, Priscilla Dufie Darko, Blessing Mawunyo, Emmanuel Owusu Jun 2025

Sdg 12 Sustainable Consumption Through Reduction Of Cost Overrun By Identification Of Major Construction Waste Components Using The Pareto Rule, Gabriel Nani, Priscilla Dufie Darko, Blessing Mawunyo, Emmanuel Owusu

CIB Conferences

The United Nation’s 2030 Agenda for Sustainable Development, particularly SDGs 11 and 12, emphasizes sustainable cities and responsible consumption. The construction industry, with its high material consumption and waste generation, is a key player in achieving these goals. Waste not only escalates environmental concerns but also contributes significantly to cost overruns- a critical issue in construction projects worldwide. This study aims to identify the major construction waste components driving cost overruns and propose effective management strategies. The quantitative research method was employed, involving a questionnaire survey of 101 construction professionals. Purposive sampling and Cochran’s formula were used to determine a …

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A Theoretical Exploration Of Digital Technologies For Transitioning Towards A Circular Built Environment., Idris Soliu, Giovanni C. Migliaccio Jun 2025

A Theoretical Exploration Of Digital Technologies For Transitioning Towards A Circular Built Environment., Idris Soliu, Giovanni C. Migliaccio

CIB Conferences

Circular Economy and Digital Technologies are emerging models recently identified as potential fields for achieving sustainable practice in various industries, including the built environment. Circular Economy has emerged as an alternative to the conventional linear "take-make-use-dispose" system of production and consumption to design out waste, reduce CO2 emission, and regenerate nature through principles of circularity. While digital technologies have been identified as critical enablers of the circular economy across sectors, their implementation in the built environment remains fragmented. This paper presents a theoretical exploration of how digital technologies, such as Building Information Modeling, Digital Twins, the Internet of Things, …

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Exploring The Evolution Of Digital Transformation For Construction Enterprises: An Entropy-Nk Approach, Ruiyang Ma, Geoffrey Qiping Shen, Chao Mao, Jin Xue Jun 2025

Exploring The Evolution Of Digital Transformation For Construction Enterprises: An Entropy-Nk Approach, Ruiyang Ma, Geoffrey Qiping Shen, Chao Mao, Jin Xue

CIB Conferences

Digital transformation (DT) has become a key driving force in the development of various industries. The construction industry has also begun to explore and practice DT, with the aim of achieving industry development through technological innovation. However, the existing application of digital technology in the construction industry is mainly limited to certain aspects and functions of project production and enterprise management. This fragmented use is insufficient to meet the construction industry’s needs for holistic business process collaboration and systemic transformation. The lack of an effective method to assess the DT status of construction enterprises from a systemic perspective — helping …

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Decision-Making In Green Vs. Traditional Construction: Identifying Critical Factors For The Application Of Choosing By Advantages, Handan Kunkcu, Deniz Besiktepe, Kerim Koc, Asli Pelin Gurgun Jun 2025

Decision-Making In Green Vs. Traditional Construction: Identifying Critical Factors For The Application Of Choosing By Advantages, Handan Kunkcu, Deniz Besiktepe, Kerim Koc, Asli Pelin Gurgun

CIB Conferences

Project selection is of great importance for effective project management, aligning organizational goals that drive opportunities in the construction industry. Green building projects have gained significant momentum over the years as the construction industry seeks sustainable solutions to address environmental challenges. The choice between green and traditional projects impacts not only contractors’ financial performance and market competitiveness but also their environmental footprint, regulatory compliance, and alignment with broader societal goals. This decision requires careful consideration of both short and long-term benefits to support sustainable development. Accordingly, the purpose of this study is to identify critical factors influencing the selection of …

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Qmqa: An Intelligent Question Answering Method For Quality Management Of Prefabricated Buildings Based On Knowledge Graph, Gaotong Chen, Xiaer Xiahou Jun 2025

Qmqa: An Intelligent Question Answering Method For Quality Management Of Prefabricated Buildings Based On Knowledge Graph, Gaotong Chen, Xiaer Xiahou

CIB Conferences

Quality compliance inspection is an essential procedure to enhancing the quality of prefabricated buildings. However, the current method for extracting specific legal compliance from regulatory texts is a both time-consuming and knowledge-intensive process. Aiming at the problem of insufficient knowledge service in this field, this paper proposes an intelligent question answering method for quality management of prefabricated buildings based on knowledge graph (QMQA). This method introduces a novel neural network model that integrates BERT with an attention based-bidirectional long short term memory network (AB-BiLSTM). First, a fine-tuned BERT model is used to analyze unstructured text and assign specific semantic tags …

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Analyzine Trends In Capital Construction Expenditures, Ankita Pradeep Joshi, Theodore J. Weidner Jun 2025

Analyzine Trends In Capital Construction Expenditures, Ankita Pradeep Joshi, Theodore J. Weidner

CIB Conferences

This research examines expenditures for renewal/renovation construction and research grant income in higher education science and engineering research facilities to identify correlations. A positive correlation suggests income benefits accrue to institutions that preserve facilities while a negative correlation suggests facilities have limited long-term value and replacement is a more cost-effective means to sustain the physical infrastructure. The research has implications for other non-profit agencies and how they determine whether to maintain facilities or allow development of a significant capital renewal backlog.

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A Systematic Review Of The Mitigating Factors For Emergency Response In Facilities, Haruna Domanamwin Abudu, Modupe Cecilia M.C Mewomo Prof., Kofi Owusu Adjei Dr., Francis Kwesi Bondinuba Prof. Jun 2025

A Systematic Review Of The Mitigating Factors For Emergency Response In Facilities, Haruna Domanamwin Abudu, Modupe Cecilia M.C Mewomo Prof., Kofi Owusu Adjei Dr., Francis Kwesi Bondinuba Prof.

CIB Conferences

This research aims to identify effective practices and strategies that improve preparedness and response capabilities by examining the factors contributing to mitigating challenges in emergency response. A comprehensive literature review was adopted to analyse current trends, case studies, and expert opinions regarding global emergency response infrastructure. The review synthesised existing research and case studies and provided insights into practical experiences and perspectives from diverse operational contexts. The research highlights 11 factors categorised into 7 key factors that contribute significantly to mitigating challenges in emergency response. These factors include community engagement and capacity building, policy and governance, technological integration, collaboration and …

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