Implementing a Relational Database in Processing Construction Project Documents

Khosiin, Mik Wanul; Umam, Ardian

doi:10.1007/978-981-16-9348-9_79

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A system used to maintain relational databases is a relational database management system (RDBMS). Many relational database systems are equipped with the option of using the SQL (Structured Query Language) for querying and maintaining the database (Ambler, 2009;Khosiin and Umam, 2023;Hosny et al, 2023;Nguyen, 2022;Lifschitz et al, 2022). Each attribute is assigned a letter designation (Table 1, Column 3).…”

Section: Database Of Histological Sectionsmentioning

confidence: 99%

Application of Machine Learning Technology to Management Methods

Lisitsyn,

Chernukha,

Xiao

et al. 2023

Meat Technology

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Multicomponent meat system -brine injected pork and cooked sausage "Doctorskaya" were was analyzed using neural network technologies and the conditions of uncertainty and risk of human error in a decision-making process in time domain were identified. The formation of a situational classifier (digital image-based histology -meat sample sections with a detailed description) and the system's knowledge base was described. The general steps of a histological section image processing are: 1) preprocessing of section images (noise removal, palette optimization, etc.); 2) color segmentation based on palette minimization; 3) approximation of boundaries of the areas highlighted in the image; 4) area size determination; 5) particle shape determination; 6) particle color determination; 7) identification of the presence of counterfeits; 8) results' output regarding the determination of the presence of counterfeits. The Jupyter Notebook and Colaboratory software environment was used to study and compare the influence of several activation functions (ReLu, tanH, eLu, sigmoid, softPlus, softSign) on the generated DataSet. The best result was obtained when with ReLu (0.9843) activation function, followed by SoftPlus (0.9765) and eLu (0.9687) activation functions. This stage of the study considered a kind of convolutional neural network (CNN) architecture with two layers of convolution (Convolutional, C-Layer) and pooling (Subsampling, S-Layer). An algorithm of the Error Back Propagation gradient was applied to train CNN. This is the first research stage for convolutional neural network applications in solution management.

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Section: Database Of Histological Sectionsmentioning

confidence: 99%

Application of Machine Learning Technology to Management Methods

Lisitsyn,

Chernukha,

Xiao

et al. 2023

Meat Technology

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show abstract

“…In addition to the challenges of delivering hands-on experience in classroom settings, poor communication in the construction industry is a well-known challenge that affects construction project performance [6]. Information is predominantly delivered in 2D data formats, such as blueprints and speci cations [7], which can be challenging for new workers to comprehend fully [8]. Consequently, this communication gap often results in decreased productivity, increased change orders, and compromised safety [9].…”

Section: Introductionmentioning

confidence: 99%

A systematic review and analysis of the viability of virtual reality (VR) in construction work and education

Din,

Mohammadi,

Sherman

2024

Preprint

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This systematic review explores the viability of virtual reality (VR) technologies for enhancing learning outcomes and operational efficiency within the construction industry. This study evaluates the current integration of VR in construction education and practice. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, this review analyzed 36 peer-reviewed journal articles from databases such as the Web of Science, ERIC, and Scopus. The methodology focused on identifying, appraising, and synthesizing all relevant studies to assess the effectiveness of VR applications in construction-related fields. This review highlights that VR significantly enhances learning by providing immersive interactive simulations that improve the understanding of every complex construction process, such as structural elements or tunnel-boring machine operations. This review contributes by systematically compiling and evaluating evidence on using VR in construction, which has seen a limited comprehensive analysis. It provides practical examples of how VR can revolutionize education and work.

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Implementing a Relational Database in Processing Construction Project Documents

Cited by 2 publications

References 5 publications

Application of Machine Learning Technology to Management Methods

Application of Machine Learning Technology to Management Methods

A systematic review and analysis of the viability of virtual reality (VR) in construction work and education

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