Mathematical Modeling of Online Transaction Processing System for Design of Building Territory

Honcharenko, Tetyana; Kyivska, Kateryna; Liashchenko, Mariia; Terentyev, Oleksandr; Gorbatyuk, Ievgenii; Dolya, Elena

doi:10.1109/ukrcon53503.2021.9575215

Cited by 2 publications

(7 citation statements)

References 15 publications

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“…The findings from RQ4, designed to uncover the advantages and challenges associated with the implemented processes, are consolidated and elaborated upon in the discussion section. [8], [9], [11], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43] (2) Construction [3], [5], [15], [38], [41], [42], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59],…”

Section: Data Synthesismentioning

confidence: 99%

“…IoT integration enables the dynamic inclusion of extensive real-time information [3], broadening the potential for automated decision-making and facilitating both horizontal and vertical collaboration for on-site operations [42,63,65,68]. In this way, SCOs accurately capture information such as working crew status, supply management, inventory levels, and conditions of the working space [5,47,54]. This data is then made available to various parties involved in the construction process.…”

Section: Smart Objects In Construction Phasementioning

confidence: 99%

“…Integration of technological advancements into the design of smart environments introduces a new dimension to buildings. Merging BIM with the design and management of smart buildings is feasible through the incorporation of intelligent object profiling and information exchange data [5,23,83]. This integrated approach empowers advanced control and optimization of smart buildings, harnessing the capabilities of intelligent objects and leveraging BIM's comprehensive data and modeling capacities [22,33,95].…”

Section: Smart Buildingsmentioning

confidence: 99%

“…The most noticeable distinction between BIM and traditional modeling methods lies in the fact that architects and engineers could collaborate within a shared data environment. This facilitates effective data access throughout the project's life cycle; encompassing design, construction, and post-construction phases [4,5]. BIM can be characterized as an evolutionary phase of an intelligent model rather than a mere technology [6].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Incorporating smart objects into BIM: A comprehensive review

Senel,

Cekmis

2024

JCEMI

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BIM efficiency and address issues such as data loss and outdated information throughout the design, construction, and management phases of projects. A systematic literature review was conducted, encompassing research articles published from 2005 to 2023, to examine the involvement of smart objects in BIM integration. Out of the 98 studies identified, it was revealed that smart objects play a crucial role in three primary stages of BIM implementation: pre-construction (architectural design), construction (management and progress monitoring), and post-construction (applications in smart buildings and documentation of existing and historical buildings). A comprehensive analysis of these studies led to the development of a current workflow, detailing the various categories of smart objects, their application areas, and the procedures involved in their creation. The analysis also provides insights into the methodologies, tools, and software crucial for BIM integration, along with potential challenges that may arise. It is anticipated that the use of smart objects as representatives of real building elements will become a core component of the AEC industry.

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Section: Data Synthesismentioning

confidence: 99%

Section: Smart Objects In Construction Phasementioning

confidence: 99%

Section: Smart Buildingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incorporating smart objects into BIM: A comprehensive review

Senel,

Cekmis

2024

JCEMI

View full text Add to dashboard Cite

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“…Optical 3D scanning shows a growing trend in the construction industry, providing a complete and consistent building engineering database by establishing a virtual building 3D model based on digital technology. Nowadays, Building Information Modeling (BIM), as a key application of optical 3D scanning, dominates project follow-up, building monitoring, and maintenance [1][2][3][4], architecture planning [5][6][7][8], emergency simulation [9][10][11][12], and IoT [13][14][15][16]. Implementing BIM methods helps improve the efficiency and integration of constructions in all stages of their life-cycle, as well as helps provide a platform for engineering information exchange and communication [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Feature Consistent Point Cloud Registration in Building Information Modeling

Jiang

Lasang²,

Nader³

et al. 2022

Sensors

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Point Cloud Registration contributes a lot to measuring, monitoring, and simulating in building information modeling (BIM). In BIM applications, the robustness and generalization of point cloud features are particularly important due to the huge differences in sampling environments. We notice two possible factors that may lead to poor generalization, the normal ambiguity of boundaries on hard edges leading to less accuracy in transformation; and the fact that existing methods focus on spatial transformation accuracy, leaving the advantages of feature matching unaddressed. In this work, we propose a boundary-encouraging local frame reference, the PyramidFeature(PMD), consisting of point-level, line-level, and mesh-level information to extract a more generalizing and continuous point cloud feature to encourage the knowledge of boundaries to overcome the normal ambiguity. Furthermore, instead of registration guided by spatial transformation accuracy alone, we suggest another supervision to extract consistent hybrid features. A large number of experiments have demonstrated the superiority of our PyramidNet (PMDNet), especially when the training (ModelNet40) and testing (BIM) sets are very different, PMDNet still achieves very high scalability.

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Mathematical Modeling of Online Transaction Processing System for Design of Building Territory

Cited by 2 publications

References 15 publications

Incorporating smart objects into BIM: A comprehensive review

Incorporating smart objects into BIM: A comprehensive review

Feature Consistent Point Cloud Registration in Building Information Modeling

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