Search

Your search keyword '"Ding, Lieyun"' showing total 371 results
Start Over Author "Ding, Lieyun"
371 results on '"Ding, Lieyun"'

2. Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction

Author

Love, Peter ED, Fang, Weili, Matthews, Jane, Porter, Stuart, Luo, Hanbin, and Ding, Lieyun

Subjects
Computer Science - Artificial Intelligence, H.0, H.4, J.0
Abstract

Explainable artificial intelligence has received limited attention in construction despite its growing importance in various other industrial sectors. In this paper, we provide a narrative review of XAI to raise awareness about its potential in construction. Our review develops a taxonomy of the XAI literature comprising its precepts and approaches. Opportunities for future XAI research focusing on stakeholder desiderata and data and information fusion are identified and discussed. We hope the opportunities we suggest stimulate new lines of inquiry to help alleviate the scepticism and hesitancy toward AI adoption and integration in construction., Comment: 56 pages, 3 figures. arXiv admin note: text overlap with arXiv:1910.10045 by other authors

Published
2022

3. Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework

Author

Love, Peter ED, Matthews, Jane, Fang, Weili, Porter, Stuart, Luo, Hanbin, and Ding, Lieyun

Subjects
Computer Science - Artificial Intelligence, H.0, H.4, J.0
Abstract

Explainable artificial intelligence is an emerging and evolving concept. Its impact on construction, though yet to be realised, will be profound in the foreseeable future. Still, XAI has received limited attention in construction. As a result, no evaluation frameworks have been propagated to enable construction organisations to understand the what, why, how, and when of XAI. Our paper aims to fill this void by developing a content, context, process, and outcome evaluation framework that can be used to justify the adoption and effective management of XAI. After introducing and describing this novel framework, we discuss its implications for future research. While our novel framework is conceptual, it provides a frame of reference for construction organisations to make headway toward realising XAI business value and benefits., Comment: 43 pages, 5 figures

Published
2022

17. Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers

Author

Zhang, Xiao, Wu, Dongrui, Ding, Lieyun, Luo, Hanbin, Lin, Chin-Teng, Jung, Tzyy-Ping, and Chavarriaga, Ricardo

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused on making EEG-based BCI spellers faster and more reliable; however, few have considered their security. This study, for the first time, shows that P300 and steady-state visual evoked potential BCI spellers are very vulnerable, i.e., they can be severely attacked by adversarial perturbations, which are too tiny to be noticed when added to EEG signals, but can mislead the spellers to spell anything the attacker wants. The consequence could range from merely user frustration to severe misdiagnosis in clinical applications. We hope our research can attract more attention to the security of EEG-based BCI spellers, and more broadly, EEG-based BCIs, which has received little attention before.

Published
2020
Full Text
View/download PDF

33. Development of Key Domain-Relevant Technologies for Smart Construction in China

Author

Chen Ke and Ding Lieyun

Subjects
smart construction，engineering software，construction Internet of things，construction machinery，construction big data, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Smart construction integrates new-generation information technology with construction and is important for the highquality development of China’s construction industry. This study expounds the basic concept and importance of smart construction and summarizes four types of key domain-relevant technologies: engineering software for entire industrial chain integration, construction Internet of things for smart construction sites, intelligent construction machinery for man–machine integration, and construction big data for intelligent decision making. Subsequently, we analyze the current status and weaknesses of these technologies in terms of market environment, enterprise deployment, and core resource reserves through questionnaire survey and expert interview. Moreover, we identify the development goals and propose the major tasks, including establishing and improving the standards system; promoting cooperation among industry, universities, research institutes, and application; improving intellectual property protection; and conducting pilot demonstration of typical projects. Furthermore, suggestions are proposed from the perspectives of government, enterprises, and universities.

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results