Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China

Liu, Jingkuang; Gong, Enqin; Wang, Dong; Teng, Yue

doi:10.1007/s11277-018-5323-3

Cited by 52 publications

(37 citation statements)

References 31 publications

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“…The F-value is a comprehensive evaluation index of the Pre and Rec of the model. MS (Matching Speed) indicates the time from data input to translation completion [ 25 ]. The specific calculation is shown below.…”

Section: Methodsmentioning

confidence: 99%

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The use of machine translation algorithm based on residual and LSTM neural network in translation teaching

Ren¹

2020

PLoS ONE

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With the rapid development of big data and deep learning, breakthroughs have been made in phonetic and textual research, the two fundamental attributes of language. Language is an essential medium of information exchange in teaching activity. The aim is to promote the transformation of the training mode and content of translation major and the application of the translation service industry in various fields. Based on previous research, the SCN-LSTM (Skip Convolutional Network and Long Short Term Memory) translation model of deep learning neural network is constructed by learning and training the real dataset and the public PTB (Penn Treebank Dataset). The feasibility of the model’s performance, translation quality, and adaptability in practical teaching is analyzed to provide a theoretical basis for the research and application of the SCN-LSTM translation model in English teaching. The results show that the capability of the neural network for translation teaching is nearly one times higher than that of the traditional N-tuple translation model, and the fusion model performs much better than the single model, translation quality, and teaching effect. To be specific, the accuracy of the SCN-LSTM translation model based on deep learning neural network is 95.21%, the degree of translation confusion is reduced by 39.21% compared with that of the LSTM (Long Short Term Memory) model, and the adaptability is 0.4 times that of the N-tuple model. With the highest level of satisfaction in practical teaching evaluation, the SCN-LSTM translation model has achieved a favorable effect on the translation teaching of the English major. In summary, the performance and quality of the translation model are improved significantly by learning the language characteristics in translations by teachers and students, providing ideas for applying machine translation in professional translation teaching.

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Section: Methodsmentioning

confidence: 99%

“…To facilitate the calculation, the exponent is often used. [25]. The specific calculation is shown below.…”

Section: Pr Elexityðsþ ¼ 2 Hðsþ ð14þmentioning

confidence: 99%

The use of machine translation algorithm based on residual and LSTM neural network in translation teaching

Ren¹

2020

PLoS ONE

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“…EAT, as a series of innovative management technologies that promotes the transformation of prefabricated construction from traditional, outdated and inefficient to advanced, intelligent and efficient, has attracted widespread attention in recent years. This widespread concern can be primarily explained by the inherent advantages of these technologies, including, but not limited to, achieving the real-time visibility and traceability of prefabricated components [10][11][12][13][14], low building energy consumption [15][16][17], reduced schedule risk [1,18,19], time-and cost-saving, efficiency improvement [2,[20][21][22], quality control improvement [7,23,24], accelerated lean construction [25], informatisation and intelligence of management [11,13,22,26,27], low pollution, compliance with sustainability standards [28,29], high safety and health standards [30,31] and integrated and improved supply chain management [18,23,[32][33][34][35][36].…”

Section: Definition and Advantages Of Eatmentioning

confidence: 99%

Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

Xiao

et al. 2021

Sustainability

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Emerging advanced technologies (EAT) have been regarded as significant technological innovations which can greatly improve the transforming construction industry. Given that research on EAT related to the management of prefabricated construction (MPC) has not yet been conducted, various researchers require a state-of-the-art summary of EAT research and implementation in the MPC field. The purpose of this paper is to provide a systematic literature review by analysing the selected 526 related publications in peer-reviewed leading journals during 2009–2020. Through a thorough review of selected papers from the state-of-the-art academic journals in the construction industry, EAT is recognised as the key area affecting the development of the MPC discipline. This study has value in offering original insights to summarise the advanced status quo of this field, helping subsequent researchers gain an in-depth understanding of the underlying structure of this field and allowing them to continue future research directions.

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“…Museums are carriers for disseminating, preserving, and displaying historical and cultural knowledge, science, technology, and social features to the public. With the development of China's culture and education, museums have been valued by more people [1]. The major function of museums is to spread the scientific and technological concepts, cultural connotations, and true meaning of life to the visitor through entertainment and art [2].…”

Section: Introductionmentioning

confidence: 99%

Key Technology of Virtual Roaming System in the Museum of Ancient High-Imitative Calligraphy and Paintings

Ning

2020

IEEE Access

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To show the traditional Chinese painting and the spiritual culture of universities, highlight the artistic accumulation and cultural heritage, analyze the value and significance of digitalizing the Museum of Ancient High-Imitative Calligraphy and Painting, Qingdao Agricultural University (QAU) is regarded as the research object. The design principles of the digital museum are clarified by understanding the specific user needs, and the 3DS Max is utilized to develop a roaming system for the Museum of Ancient High-Imitative Calligraphy and Painting of QAU through Unity3d, a Virtual Reality (VR) software platform. Besides, the perspective control, collision detection of virtual characters and scenes, and control of pop-up information display windows are realized to achieve the interactive design of users and the QAU digital museum system. Finally, from the four aspects of resource content, information presentation, resource presentation, and learning effect, a comprehensive evaluation is conducted. The research results show that more than 80% of people think that the content satisfaction of virtual system resources is high, which is more scientific and accurate; more than 65% think that the information is presented better, and 87% think that the system is open enough; in addition, nearly one-third of the visitors believe that using the system can initiate their interest and motivation in learning. This shows that the learning and cultural communication effects of the virtual system are more obvious. This system realizes the objective of disseminating traditional classic art culture and values by new technical means, which has reference significance for research in other fields. INDEX TERMS virtual roaming; high-imitative calligraphy and painting; digital museum; digital system

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Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China

Cited by 52 publications

References 31 publications

The use of machine translation algorithm based on residual and LSTM neural network in translation teaching

The use of machine translation algorithm based on residual and LSTM neural network in translation teaching

Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

Key Technology of Virtual Roaming System in the Museum of Ancient High-Imitative Calligraphy and Paintings

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