Peer-reviewed Conference Proceedings Research Articles

Occupant behavior model and its involvement in building optimization design: a review

ABSTRACT The occupant behavior has a significant impact on the building performance. This review offers researchers and practitioners a clear understanding of the evolution of the occupant behavior model and its involvement in building optimization design, providing guidance for future research. Studies are selected if they are peer-reviewed conference proceedings and journal papers published from 2005 to 2023. By analyzing 203 core papers from the Web of Science, a bibliometric study is conducted using CiteSpace. The findings indicate that research on occupant behavior has advanced significantly since 2005, with China being the most active country. The interaction between occupant and building performance, development of occupant behavior model, building optimization framework, and optimized strategies in buildings are the four fundamental topics. Finally, the current challenges and future opportunities are discussed. Future research should focus on conducting real-case quantitative studies, expanding performance simulation, developing comprehensive techniques, improving user-system interaction, and exploring feasible social practices. However, limitations arise due to deficiencies in the thoroughness and depth of analyses resulting from sample constraints. To obtain more reliable results, a broader and more systematic approach to collecting publications is needed.

Investigation of Machine Learning Analytic-Based Data Classification Frameworks on Iot-Based Infrastructures

The Internet of Things revolutionizes and enables convenient, automated lifestyles for people today. Over the past ten years, advances in computer, connectivity, and application design have led to its development. The Internet of Things has quickly spread around the world, impacting every person on the planet. Everyday IoT devices, such as smartphones, Google Home assistants, smart vehicles, and automated systems in buildings, including smart elevators and temperature control, as well as drones for environmental monitoring and leisure, play crucial roles in our daily lives. Therefore, the purpose of this research is to explore data classification frameworks based on machine learning analytics in Internet of Things-based infrastructures. This study focuses on articles published between 2010 and 2023, utilizing a comprehensive literature review approach. The study entails reading through at least eighty peer-reviewed conference proceedings, industry white papers, and journal articles. An overview of the relationship between machine learning and the Internet of Things (IoT) is given in this study. The approach consists of four standard processes that are used in review papers: gathering articles from Thomson Reuters Web of Science, identifying categories, carrying out descriptive analysis, and assessing the information acquired. A discussion on the categorization of diverse analytics methods for IoT is presented in the paper. Moreover, it introduces and discusses the architectural Framework for IoT and the challenges in IoT Data Classification. Furthermore, Machine Learning Strategies for Identifying and Classifying IoT were presented. Researchers must investigate machine learning analytic-based data classification frameworks for Internet of Things infrastructures. The challenges arising from the unique characteristics of IoT data call for innovative solutions, and current frameworks demonstrate promising results.

Introducing the New Editorial Team

Introducing the New Editorial Team

Preface

The Association of Schools of Construction of Southern Africa (ASOCSA) Built Environment conference series in its 15th year of existence continues to be one of the major cutting-edge built environment conferences on the African continent. Since its inception in 2006, the blind peer reviewed conference proceedings have been referred to by both private and public sector policy and decision makers. The series produces a post-conference edition of the Journal of Construction, which is on the list of journals approved by the South African Department of Higher Education and Training (DHET) for subsidy. The conference series continues to be endorsed by the International Council for Research and Innovation in Building and Construction (CIB), one of the largest global built environment research organizations and recognized by the Australian Institute of Building (AIB). The conference provides an interactive international forum and also networking opportunities among researchers, academics, administrators and practitioners, representing institutions of higher learning, government agencies, contracting organisations, consulting enterprises, financial institutions, and other construction-related organisations.The 14th Built Environment Conference held in Durban, South Africa from September 21-22, 2020 was severely impacted by the effects of the COVID-19 pandemic as had been the rest of the academic world across the world with conferences either having to be cancelled or converted to virtual events. However, true to its vision and commitment to continue being a premier African built environment conference, ASOCSA and the organizers persevered under difficult and challenging circumstances to present the current version in the long-standing Built Environment series as a virtual conference to prevent the spread of COVID-19 infections to participants. Given the importance of the Built Environment series of conferences as one of the few conferences that allow South African researchers to participate in and claim subsidy from the Department of Higher Education and Training (DHET), cancelling it would have had a serious negative impact of the research outputs of these academics. Delivering a world-class virtual conference is novel for ASOCSA and not without its technical glitches and snags. Further, all protocols were observed by the small team of conference organizers in Durban who were together physically for the duration of the conference to ensure a hands-on quality conference without any compromise on standards. For the first time the post-conference proceedings will be SCOPUS-indexed in a separate high class publication. OBJECTIVES The 14th Built Environment Conference with its theme of Technology, Transformation and Sustainable Construction had a range of interesting and cutting edge peer-reviewed research papers addressing topical issues that affect the built environment not only in South Africa but in the regions beyond. Notwithstanding the ever-increasing challenging global economic environment with shrinking sponsorship budgets, the conference continued in the tradition of previous conferences in the series and provided an excellent virtual international forum with a clear industry development and sustainability focus. This focus provided the opportunity for researchers and practitioners from developed and developing nations to deliberate topical current issues that impact the Built Environment.List of Conference Theme And Outcomes, Technology, Transformation And Sustainable Construction, Organising Committee, Scientific and Technical Committee, Panel of Reviewers, Panel of Reviewers are available in this pdf.

Interactive guidelines: Public communication of data-based research in cities.

Scientific research results are traditionally published as articles in peer-reviewed conference proceedings or journals. These articles often use technical jargon, which precludes the general public from consuming the results achieved. New ways to communicate scientific results are thus necessary to transfer scientific insights to non-experts, and this work proposes the concept of interactive guidelines to fill this gap. A web tool, called Interactive Guidelines Tool, was developed as a proof-of-concept for the idea. It was used in the context of the GEO-C project to communicate research outputs in smart cities scenarios to the public. A comparative analysis between the Interactive Guidelines Tool and related tools helps to highlight the progress it enables beyond the current state of the art. Interactive Guidelines Tool is available as an open-source tool and can be customised/extended by any interested researcher, in the process of making scientific knowledge and insights more accessible and understandable to a broader public.

The 5th International Conference on Science & Engineering in Mathematics, Chemistry and Physics 2017 (ScieTech 2017), The Ramada Bintang Hotel, Kuta, Bali, Indonesia 21 - 22 January 2017

The 5th International Conference on Science & Engineering in Mathematics, Chemistry and Physics 2017 (ScieTech 2017), The Ramada Bintang Hotel, Kuta, Bali, Indonesia 21 - 22 January 2017

Research on English language teaching and learning in Argentina (2007–2013)

In this article we review research on English as a foreign language (EFL) teaching and learning published in Argentina between 2007 and 2013. This is the first review of a Latin American country in this series. Argentina has a century-long tradition of training EFL teachers but a comparatively shorter though fruitful history of foreign language (FL) research. The article examines 88 articles that appeared in locally published peer-reviewed conference proceedings, academic journals and one edited collection. The contributions cover a wide spectrum of topics that illustrates prominent research interests in the country, such as the role of imagination, emotion and affect in language comprehension and production, intercultural dimensions, FL teacher education and development, content and language integrated learning (CLIL), computer-assisted language learning (CALL), the teaching of English for academic or specific purposes, testing, assessment and evaluation, and materials design and course development. The review includes work by specialists whose research may not be known outside the boundaries of Argentina but who produce high-quality situated research that accounts for the specificity of the local educational setting.

Erratum to: Instructional guidance in microblogging-supported learning: insights from a multiple case study

Tian Luo is an Assistant Professor in the Instructional Design and Technology program at Old Dominion University. She has received her Ph.D. in Instructional Technology from Ohio University and had worked as an Instructional Design Consultant at Muhlenberg College for one year. Her research interests center on using social media and social technologies to facilitate student learning in both formal and informal educational settings and designing collaborative and authentic learning environments supported and enhanced by various emerging web-based technologies. Her research has been published at British Journal of Educational Technology, Journal of Innovations in Education and Teaching International, Journal of Information Technology Education: Innovations in Practice and various peer-reviewed conference proceedings. Her research has also been presented at multiple professional conferences in the field of educational and instructional technology, including AERA, AECT and SITE.

Contaminant intrusion in water distribution networks: review and proposal of an integrated model for decision making

Contaminant intrusion in a distribution network (DN) refers to the entry of harmful chemicals and pathogens in the presence of three conditions: (i) the availability of a contaminant source near water mains; (ii) a pathway: leakage or breakage; and (iii) a driving force: low or negative pressure in the water main. The occurrence of contamination in a DN can take place frequently as there is no specific treatment at this stage except secondary disinfection. Contaminant intrusion requires as much attention as source water protection or treatment plants, particularly given that at this point, water is near the final stage prior to human consumption. Failure to detect and treat at this time could have potential negative impacts on consumers’ health. Following the September 11, 2001 attack, strict regulations are now enforced by the municipalities to monitor water quality within DNs. This review article focuses on various aspects of contaminant intrusion in DNs based on more than 90 journal articles, peer-reviewed conference proceedings, and research reports. Here we present details on the conditions of contaminant intrusion, water quality regulations, sampling, protection and mitigation strategies, and various modelling approaches for decision making. Based on this review, we propose an integrated model that will help guide effective decision making for contaminant detection and mitigation.

Neural Networks Applications in Pavement Engineering: A Recent Survey

The use of neural networks (NNs) has increased tremendously in several areas of engineering over the last three decades. This paper is intended to provide a state-of-the-art survey of NN applications in pavement engineering over the last three decades. The reported studies are briefly summarized under eight different categories: (1) prediction of pavement condition and performance, (2) pavement management and maintenance strategies, (3) pavement distress forecasting, (4) structural evaluation of pavement systems, (5) pavement image analysis and classification, (6) pavement materials modeling, and (7) other miscellaneous transportation infrastructure applications. To maintain consistency, the review was primarily based on archival journal publications although novel application-oriented NN implementations published in peer-reviewed conference proceedings and edited books were also considered. Recent publications focusing on the development and use of hybrid neural systems in pavement engineering were also included in the review. The increasing number of publications in this area of research in combination with other soft computing techniques every year definitely indicates that more and more students, researchers, and practitioners are interested in exploring the use of NNs in the study of pavement engineering problems.

A systematic literature review of the use and effectiveness of the Computer Assisted Rehabilitation Environment for research and rehabilitation as it relates to the wounded warrior.

Several U.S. military treatment and research facilities employ a Computer Assisted Rehabilitation Environment (CAREN) [Motek Medical BV, Amsterdam, The Netherlands] for research and rehabilitation of complex injuries exhibited by Wounded Warriors. There has been little scientific evidence of the effectiveness of this type of system for rehabilitation. A systematic review of the literature was completed to determine what type of work has been performed on the CAREN and report findings of clinical significance. Specific terms were searched on electronic databases to include journal articles, abstracts, and peer-reviewed conference proceedings related to the CAREN. Twenty-six publications were elicited that met our criteria. These were divided by their primary focus: rehabilitation, clinical research, and technical reports. Results from published articles have determined that the system is a capable tool for both assessment and rehabilitation, but little has currently been published, particularly on patient populations. More research needs to be performed to evaluate its effectiveness as a rehabilitation tool compared to other rehabilitation methods. It is expected that a system, such as the CAREN, will challenge patients multifactorially (e.g. physically and cognitively) and provide biofeedback while decreasing rehabilitation time and increasing effectiveness of treatment.

Mathematical tales of technology and collaboration

Mathematical tales of technology and collaboration

Information Theory Tools for Computer Graphics

Information theory (IT) tools, widely used in scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also emerging as useful transversal tools in computer graphics. In this book, we present the basic concepts of IT and how they have been applied to the graphics areas of radiosity, adaptive ray-tracing, shape descriptors, viewpoint selection and saliency, scientific visualization, and geometry simplification. Some of the approaches presented, such as the viewpoint techniques, are now the state of the art in visualization. Almost all of the techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. Here, we have stressed their common aspects and presented them in an unified way, so the reader can clearly see which problems IT tools can help solve, which specific tools to use, and how to apply them. A basic level of knowledge in computer graphics is required but basic concepts in IT are presented. The intended audiences are both students and practitioners of the fields above and related areas in computer graphics. In addition, IT practitioners will learn about these applications.