7,882 results on '"INFORMATION modeling"'
Search Results
2. Material augmented semantic segmentation of point clouds for building elements.
- Author
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Liang, Houhao, Yeoh, Justin K. W., and Chua, David K. H.
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POINT cloud , *SURFACE texture , *INFORMATION modeling , *DEEP learning , *SPATIAL ability - Abstract
Point clouds are utilized to enable automated engineering applications for their ability to represent spatial geometry. However, they inherently lack detailed surface textures, posing challenges in differentiating objects at the texture level. Hence, this study introduces a 2D–3D fusing approach, leveraging material properties recognized from registered images as an augmented feature to enhance deep learning methods for the segmentation of building elements within point clouds. The proposed method was evaluated quantitatively on a 3D indoor data set with an implementation in an office room. The results are promising, showing improvement in recognition performance, particularly for objects with similar geometry but having different material properties. For instance, the segmentation of boards increased by 70.87%, and doors improved by 41.06% using the PointNet architecture. This enhanced segmentation not only reduces the time for interpreting point clouds but also has the potential to benefit downstream applications such as Scan‐to‐building information modeling (BIM), as defining regions for objects is essential. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Dynamic User Tourism Interest Modeling through Domain Information Integration: A Hierarchical Approach.
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Todo, Hiroyoshi, Zhang, Xiliang, Zhang, Zhongguo, and Todo, Yuki
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INFORMATION modeling ,RANDOM fields ,RECOMMENDER systems ,BIG data ,CONSUMERS' reviews - Abstract
With the exponential growth of online review platforms, understanding user preferences and interests in the tourism domain has become increasingly critical for businesses and service providers. However, extracting meaningful insights from the vast amount of available data poses a significant challenge. Traditional methods often struggle to capture the nuanced and hierarchical nature of user interests within the tourism domain. This paper pioneers the integration of domain information modeling technology into the realm of online review information mining, presenting a novel approach to constructing a user tourism interest model. Unlike existing methods, which primarily rely on flat or simplistic representations of user data, our approach leverages the hierarchical structure inherent in tourism domain information modeling. By harnessing big data within the tourism domain, we construct hierarchical tourism attributes and apply a conditional random field model along with an affective dictionary to facilitate the hierarchical mining of user travel interest information. This culminates in the establishment of a comprehensive user travel interest model using advanced information modeling techniques. Building upon this foundation, we further propose a dynamic user travel interest model, showcasing its adaptability and responsiveness to changing user preferences. Finally, we validate the accuracy and effectiveness of our model through simulation experiments within a user travel recommendation system, demonstrating significant improvements over traditional methods. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Research and application of OPC UA-based digital twin smoke alarm calibration workshop information model.
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Wu, Min and Ying, Wenfeng
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DIGITAL twins , *INFORMATION modeling , *CALIBRATION , *FIRE detectors , *DATA integration , *INFORMATION networks , *DIGITAL technology - Abstract
Aiming at the problems of data integration and information sharing in the calibration workshop of smoke alarm, combining OPC Unified Architecture (OPC UA) and digital twin technology, the OPC UA based digital twin smoke alarm calibration workshop information network framework is proposed. Using OPC UA information modeling technology, a digital workshop information model for smoke alarm calibration was constructed, and the static attribute set, process attribute set, and functional component set of the workshop were defined in detail. Taking the smoke box as an example, the information model construction was instantiated, and data collection and transmission were carried out with the digital twin model of the smoke box, achieving the implementation mapping between the twin model and physical entities. The results show that based on the proposed OPC UA information model, the interconnection and intercommunication of data at all levels of the digital twin smoke alarm calibration workshop can be achieved, and the workshop can be visualized, digitized, and flexible. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Identification of IoT Devices Based on Hardware and Software Fingerprint Features.
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Jiang, Yu, Dou, Yufei, and Hu, Aiqun
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INFORMATION modeling , *INTERNET of things , *COMPUTER software , *HARDWARE , *HUMAN fingerprints - Abstract
Unauthenticated device access to a network presents substantial security risks. To address the challenges of access and identification for a vast number of devices with diverse functions in the era of the Internet of things (IoT), we propose an IoT device identification method based on hardware and software fingerprint features. This approach aims to achieve comprehensive "hardware–software–user" authentication. First, by extracting multimodal hardware fingerprint elements, we achieve identity authentication at the device hardware level. The time-domain and frequency-domain features of the device's transient signals are extracted and further learned by a feature learning network to generate device-related time-domain and frequency-domain feature representations. These feature representations are fused using a splicing operation, and the fused features are input into the classifier to identify the device's hardware attribute information. Next, based on the interaction traffic, behavioral information modeling and sequence information modeling are performed to extract the behavioral fingerprint elements of the device, achieving authentication at the software level. Experimental results demonstrate that the method proposed in this paper exhibits a high detection efficacy, achieving 99% accuracy in both software and hardware level identification. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Surface Defect-Extended BIM Generation Leveraging UAV Images and Deep Learning.
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Yang, Lei, Liu, Keju, Ou, Ruisi, Qian, Peng, Wu, Yunjie, Tian, Zhuang, Zhu, Changping, Feng, Sining, and Yang, Fan
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DEEP learning , *BUILDING inspection , *ARTIFICIAL intelligence , *BUILDING information modeling , *CONSTRUCTION defects (Buildings) , *INFORMATION modeling , *DRONE aircraft - Abstract
Defect inspection of existing buildings is receiving increasing attention for digitalization transfer in the construction industry. The development of drone technology and artificial intelligence has provided powerful tools for defect inspection of buildings. However, integrating defect inspection information detected from UAV images into semantically rich building information modeling (BIM) is still challenging work due to the low defect detection accuracy and the coordinate difference between UAV images and BIM models. In this paper, a deep learning-based method coupled with transfer learning is used to detect defects accurately; and a texture mapping-based defect parameter extraction method is proposed to achieve the mapping from the image U-V coordinate system to the BIM project coordinate system. The defects are projected onto the surface of the BIM model to enrich a surface defect-extended BIM (SDE-BIM). The proposed method was validated in a defect information modeling experiment involving the No. 36 teaching building of Nantong University. The results demonstrate that the methods are widely applicable to various building inspection tasks. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Development of a Cloud-Based Building Information Modeling Design Configurator to Auto-Link Material Catalogs with Code-Compliant Designs of Residential Buildings.
- Author
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Wang, Songyue and Chen, Qian
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RECOMMENDER systems ,CANADIAN provinces ,INFORMATION modeling ,DATA integration ,INFORMATION design - Abstract
Configurators have recently emerged as essential tools in the construction industry to enable builders to offer a wide range of customizable designs. Due to significant challenges in information integration between construction suppliers and clients, existing configurator systems often lack crucial usability and supply chain information, presenting barriers to wider adoption among residential communities, especially in single-family residence development that requires a high degree of customization. To address this challenge in the design and construction supply chain, this study presents a lightweight cloud-based modular home configuration methodology as a robust unified platform solution to integrate parametric design options with a certified kit-of-parts library to meet local design codes. The configurator prototype developed under this framework seamlessly integrates essential design and supply chain information by leveraging (1) a generative layout design with pre-approved blueprints, (2) a knowledge-based recommender system to link the design process with certified material catalogs, and (3) a user-friendly web interface to present possible designs. The implementation of a single-family housing design adhering to the building codes in the British Columbia Province of Canada illustrates the benefits of the proposed configurator functionalities and efficient supplier data integration. Lightweight and automated, the proposed configurator has substantial potential to be scaled and adopted across different communities. [ABSTRACT FROM AUTHOR]
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- 2024
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8. A BIM Package with a NEC4 Contract Option to Mitigate Construction Disputes in the Kingdom of Saudi Arabia.
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Abougamil, Reda Abdelshafy, Thorpe, David, and Heravi, Amirhossein
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COST overruns ,BUILDING information modeling ,LITERATURE reviews ,INFORMATION modeling ,CONSTRUCTION contracts - Abstract
The construction sector of the Kingdom of Saudi Arabia (KSA), valued at USD 152 billion and employing 2.54 million people by 2023, is crucial to its economy. However, it faces challenges such as delays, disputes, and cost overruns. This study aims to address these issues by implementing Building Information Modeling (BIM) in the KSA, based on an extensive literature review highlighting the role and significance of BIM in mitigating construction claims. BIM improves collaboration, communication, and data integration among stakeholders. Hence, this study proposes a comprehensive BIM Package framework comprising Revit Architecture, Microsoft Project, and Cost-X to reduce claims effectively. Validated through a KSA claims case study with a USD 1,870,000 claims value and 360-day delay, the BIM Package significantly reduced the claims value to USD 188,000 and saved 275 days. Interview sessions were conducted to validate the effectiveness of the BIM Package; 95% favored the use of BIM, 86% supported NEC4 contract adoption alongside BIM, 100% acknowledged BIM's potential in reducing design errors, 95% were confident in the case study's accuracy, and 82% were satisfied with data accuracy. This study confirms that BIM is an effective approach for minimizing construction claims in the KSA. [ABSTRACT FROM AUTHOR]
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- 2024
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9. District Energy Management Systems: Key Data Points for System Integration and Related Challenges: Lessons Learned from Experts in Germany.
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Rehmann, Felix, Cudok, Falk, Schölzel, Joel, Schreiber, Thomas, Henn, Sarah, and Streblow, Rita
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ENERGY management ,PIPELINE inspection ,INFORMATION modeling ,SYSTEM integration - Abstract
District energy management systems (DEMS) offer the capability to harness the energy potential of districts. Currently, there is a lack of research describing the necessary underlying information systems. An overview of lessons learned is presented from a series of workshops with experts from industry, research, and further roles, predominately from Germany. Seven workshops discussing challenges within digitalization, data requirements, district energy system planning, common elements in district energy systems are conducted, ensuring long‐term operation and transferability, and validation of prior findings. Based on these discussions, insights into topics such as the key data and its requirements, typical distinctions in DEMS, their infrastructure, considerations in the information modeling, as well as challenges in data availability, are offered. These findings are mapped to a data value pipeline, illustrating key resources and tools needed to plan and operate DEMS. As demonstrated in this article, the requirements for DEMS highlight their complexity. Distinct categorizations, such as the ownership or heterogeneity in building and technologies, form the landscape of DEMS. The need for standardized, interoperable systems is often a contrast to the uniqueness of individual systems and their needs. Further adoption of the described concepts necessitates sustainable business models. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Development of virtual tour reality using 360-degree panoramic images and Leaflet JavaScript.
- Author
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Amali, Lanto Ningrayati, Katili, Muhammad Rifai, and Sugeha, Alif Perdana
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VIRTUAL reality ,VIRTUAL tourism ,JAVASCRIPT programming language ,PAMPHLETS ,COLLEGE environment - Abstract
This paper describes virtual reality (VR) development using a 360-degree panoramic and Leaflet JavaScript (Leaflet JS) to introduce campus buildings in real-time. The campus building of Universitas Negeri Gorontalo (UNG) in Bone Bolango Regency was chosen as a case study. It allows users to navigate and listen to background sound and narration, open the site map interactively, and read brief information about each location. Each panorama contains hotspots that allow users to explore further. All images are combined using a photo-stitching technique to produce a panoramic image. The research method used is the multimedia development life cycle (MDLC), which consists of six stages: concept, design, material collection, assembly, testing, and distribution. Based on the system usability scale (SUS) test, the virtual tour reality website application received feedback from users regarding its usability, satisfaction, and effectiveness, and it is interesting to use this application. The results show that the website application can visualize the campus building environment with various layers of information and can create a very realistic and detailed representation of the campus environment. [ABSTRACT FROM AUTHOR]
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- 2024
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11. PV grid-connected information interaction methods based on public information modeling.
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Wu, Peng, Yu, Lei, Zhang, Ruifeng, Liu, Yinliang, Lin, Xinhao, Chen, Hang, Liu, Tong, Kai, Hou, and Yang, Nan
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INFORMATION modeling ,PHOTOVOLTAIC power systems ,POWER resources ,UNIFIED modeling language ,POLLUTION ,PHOTOVOLTAIC power generation ,MICROGRIDS - Abstract
The grid integration of large-scale photovoltaic and other distributed energy sources is an effective solution for addressing power supply shortages and environmental pollution. However, the widespread adoption of photovoltaics and grid integration presents various technological and management challenges. To fulfill the demands of grid management and ensure safe operations, the exchange of information between different terminals is continuously escalating. Use of diverse communication standards creates the problem of "information islands" among terminals. Hence, a standardized information model is crucial for describing the photovoltaic grid integration business and enhancing the efficiency of related software platform research and development. This study extends the IEC 61970/61968 standards and presents a common information model for the integration of photovoltaic systems into the grid. Initially, the operational procedures for integrating photovoltaic systems into the grid are analyzed, and UML modeling tools are employed for business modeling purposes. Subsequently, leveraging the outcomes of the business modeling and the content of the IEC 61970/61968 standards, the development of the common information model is executed. Lastly, causal analysis is conducted along with the modeling of communication standard extensions specifically targeted for the integration of photovoltaic systems into the grid, culminating in the finalization of the construction of the common information model for photovoltaic grid connection. [ABSTRACT FROM AUTHOR]
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- 2024
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12. Urban 3D Modeling as a Precursor of City Information Modeling and Digital Twin for Smart City Era: A Case Study of the Narmak Neighborhood of Tehran City, Iran.
- Author
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Shariatpour, Farshad, Behzadfar, Mostafa, and Zareei, Farzan
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DIGITAL twins , *SMART cities , *INFORMATION modeling , *CITIES & towns , *THREE-dimensional modeling , *URBAN renewal - Abstract
The city phenomenon is dynamic, complex, and has an abundance of data. City Information Modeling (CIM) and Digital Twins (DTs) are new data-driven approaches toward monitoring, controlling, and managing cities. The main purpose of this research is to introduce and raise the concept of CIM and DTs as a necessity in the smart city era for urban planning, design, and management and to implement a practical way to achieve these concepts in the Narmak neighborhood of Tehran City (Iran) as our case study. The primary tool is CityEngine software. A method was discovered to simulate cities where the existence and access to data are severely constrained. First, a Geographic Information System (GIS) database was assembled, then it was analyzed, and the relationships between urban data were determined. Then, programming in CityEngine generated a smart three-dimensional (3D) model with all the city's information. Finally, CIM and DTs led to the production of an integrated 3D database that is smart and interactive. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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13. Derivation of Tree Stem Curve and Volume Using Point Clouds.
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Nurunnabi, Abdul, Teferle, Felicia, Novo, Ana, Balado, Jesús, and Ientilucci, Emmett
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POINT cloud ,FOREST surveys ,FOREST density ,INFORMATION modeling ,CIRCLE ,DIAMETER ,TREES - Abstract
Developing a precise tree stem curve and robust estimation of stem volume are crucial for forest inventories with various applications. Laser scanned point clouds have been recognized as the most practical data for tree information modeling. Many methods for stem curve development involve estimating stem diameters at different heights and determining stem volume by utilizing fitted cylinders based on these diameters and the associated heights. The estimation of diameter depends on circle fitting. However, many circle fitting methods are non-robust and inaccurate in the presence of noise, outliers, and significant data gaps, resulting in faulty diameters and imprecise stem volume. Limited scanning, occlusions from the physical complexity, high tree density, and adjacent branches may cause data incompleteness, and generate outliers. To address these challenges, we employ robust statistical approaches to restrain the influence of outliers and data gaps. This paper contributes by (i) exploring the problems of robust diameter estimation for partial data, and in the presence of noise and outliers, (ii) understanding the impacts of using erroneous diameters in cylinder fitting, and later for stem curve and volume estimation, and (iii) developing a robust method that couples robust circle and cylinder fittings to derive precise stem curve and estimation of stem volume in the presence of outliers and partial data. We demonstrate the performance of the proposed algorithm through terrestrial laser scanning point clouds. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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14. Information modeling of technological processes.
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Goloskokov, Konstantin and Korotkov, Vitaly
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INFORMATION modeling , *COMPUTER systems , *TELECOMMUNICATION systems , *INFORMATION processing , *RELIABILITY in engineering - Abstract
The purpose of the article is to reveal the possibilities of information modeling of technological processes of effective info communication systems, which makes it possible to improve the reliability and quality of systems. To achieve this goal, the following tasks were solved. As a rule, service order flows are assumed to be Poisson, which is not true in all cases; therefore, it is necessary to consider a modification of the Kolmogorov equation in order to obtain a system of equations that is valid for any dispersions, which will allow them to be used in any supply chains. It is shown that the information approach to modeling systems allows in real conditions to refine the algorithm or to simplify and speed up the procedure for finding a solution using the queuing chain method. Such chains can be associated with both purely production (technological) processes and information processing processes in telecommunications and computer systems. Therefore, the model developed in the article will allow changing the conditions for setting the task of upgrading the network and finding the optimal solution. The method is shown to be promising, since it is designed for the effective use of technical means in the construction of info communication systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
15. Transcolar Rural New Route Cost Calculation Software and Cost Analysis Tool
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Porto, Marcelo F., Silveira, Mateus A., Alves, Lucas V. R., Baracho, Renata‘M. A., Nunes, Nilson T. R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Alvaro, editor, Adeli, Hojjat, editor, Dzemyda, Gintautas, editor, Moreira, Fernando, editor, and Colla, Valentina, editor
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- 2024
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16. Methods of Allocation of Urban Centers
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Katynsus, Aleksandr, Shapovalenko, Ekaterina, Pavlova, Anna, Arseneva, Inna, Mityagin, Sergey, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Guarda, Teresa, editor, Portela, Filipe, editor, and Diaz-Nafria, Jose Maria, editor
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- 2024
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17. KPI Development Based on an Intelligent System
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Zelentsov, L. B., Mailyan, L. D., Meretukov, Z. A., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Klyuev, Sergey Vasil'yevich, editor, Vatin, Nikolai Ivanovich, editor, and Sabitov, Linar Salikhzanovich, editor
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- 2024
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18. Blockchain-Enabled City Information Modeling Framework for Urban Asset Management.
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Lawal, Oluwatoyin O. and Nawari, Nawari O.
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INFORMATION modeling , *CITIES & towns , *BLOCKCHAINS , *ASSET management , *DIGITAL asset management , *BUILDING information modeling , *URBAN planning , *CRYPTOCURRENCIES , *GEOGRAPHIC information systems - Abstract
Object-based modeling has become an integral and more preferred design approach as against two-dimensional (2D) design representation. This is evident in the increased use of building information modeling (BIM) for building design and city information modeling (CIM) for city planning and development. However, the development and management of object-based city models are often siloed and do not coexist in a virtual environment. Urban infrastructure is often designed in isolation, yet it forms part of an integrated network of assets in real life. Blockchain is one of several technologies that has been integrated with BIM because of its transparent and tamper-proof features. This research proposes a framework for the lifecycle management of buildings and other urban assets by integrating blockchain technology (BCT) into a heterogenous CIM of multiowned assets using a nested, multilevel data environment. First, the BIM is synchronized into a GIS scene for geospecificity, then the BIM metadata is written onto a blockchain protocol distributing the model information across a network of project collaborators using a common data environment (CDE). The resultant CIM is then shared through an outer layered city level CDE. Use case scenarios are presented to validate the functionality of the proposed approach, and research limitations are discussed. The framework enables the critical interproject or interasset communication which is otherwise impossible in traditional approaches where individual assets are designed as stand-alone models. Practical Applications: Nowadays, nearly every physical product pre-exists in digital form for purposes of design, testing, and optimizing the product before its creation. This research argues that the city can also exist in digital form beyond a mere representation of its geometry, but encompassing the intangible information flow that exists between physical assets in real cities. This study proposes using City Information Modeling (CIM) that is enabled through blockchain technology (BCT) to record all activities concerning physical assets throughout their lifecycle. This is achieved by harnessing the various digital models that predate the physical components of the city from their design stages. These records of activities are retrievable and easily visualized interactively. Such CIM models are useful to trace the origins of building parts for accurate asset valuation or to review the maintenance services carried out on an asset and its impact on the constituent parts. It also provides a real template to commence new design projects whereby existing surrounding features, which are only possible through a site visit, can now be considered. The study takes into consideration the multiple ownership structure of city assets by integrating various digital models. [ABSTRACT FROM AUTHOR]
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- 2024
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19. Coherent enterprise information modeling for 5G private network feasibility.
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Jairus, Tanel, Pilvik, Riivo, Kaare, Kati Korbe, Sadam, Arvi, and Kuhi, Kristjan
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PRIVATE networks , *5G networks , *INFORMATION modeling , *DIGITAL transformation , *WIRELESS communications , *DIGITAL communications , *DATA privacy - Abstract
In the era of Industry 4.0, the digital transformation of industrial systems necessitates advanced wireless communication solutions that are both agile and secure. Private 5G networks, characterized by their unparalleled bandwidth, reduced latency, and fortified security, have emerged as a beacon of innovation in this paradigm shift. This study explores the feasibility of deploying private 5G networks across diverse enterprises, underpinned by a robust methodological framework. Drawing from contemporary research, it is evident that while 5G promises transformative benefits for sectors like logistics, manufacturing, and autonomous vehicles, its adoption is riddled with challenges such as network oversaturation and frequency coordination. Analyzing 2006 companies, our findings reveal that only 103 enterprises align with the optimal criteria for private 5G network implementation, highlighting the intricate balance of spatial, economic, and regulatory considerations. This research not only offers a strategic roadmap for businesses and stakeholders but also positions private 5G networks as a pivotal tool for achieving operational excellence, enhanced data privacy, and seamless connectivity in the modern industrial landscape. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
20. A Constraint Programming approach to solve the clustering problem in open-pit mine planning.
- Author
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Valença Mariz, Jorge Luiz, de Lemos Peroni, Rodrigo, and de Abreu Silva, Ricardo Martins
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MINES & mineral resources , *INFORMATION modeling , *CLUSTERING of particles , *CONSTRAINT programming , *MIXED integer linear programming - Abstract
Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral deposit containing millions of blocks would require several million precedence arcs as constraints, making the solution time grow exponentially and making a direct approach unfeasible. Therefore, different strategies have been employed since the 1960s to reduce the size of this problem, such as determining the ultimate pit limit, subdividing it into phases, segmenting the production scheduling problem into long-, mid-, and short-term plans, as well as aggregating blocks into clusters, thus significantly reducing the number of precedence arcs. Different modeling and clustering strategies have already been employed in an attempt to reduce the size of the mine sequencing problem, such as layer modeling, re-blocking, bench-phase clustering, or polygon (mining cut) clustering based on a similarity function. The mining cut clustering problem has been solved lately by machine learning and heuristics techniques, and this approach can also introduce operational constraints to the mine sequencing problem, such as equipment size, minimum pit width, and preferential mining direction. In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the strengths and weaknesses of the Constraint Optimization Problem (COP) and Constraint Satisfaction Problem (CSP) techniques. Numerical experiments were carried out on the Bench 15 of the Newman1 dataset, demonstrating the superiority of the COP approach. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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21. A Systematic Literature Review on Construction Management Productivity Enhancement by utilizing Business Information Modeling.
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Khamees Saja, Abd Alrazaq and Sawsan, Rasheed Mohammed
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INFORMATION modeling ,CONSTRUCTION management ,EMPLOYEE motivation ,QUALITY of service ,MARKET value ,HIGH performance work systems - Abstract
The systematic review of Business Information Modeling (BIM) plays a crucial role in understanding its significance and impact. This review allows for a comprehensive examination of the existing literature, highlighting the benefits, challenges, and success factors associated with BIM. There is a scarcity of studies dealing with this subject, and so a question about the most important advantages that will be obtained by the construction industry, especially the construction companies, as a result of the BIM application arises. Relevant previous studies were reviewed and their quality was evaluated using a systematic methodology. The current study was characterized by the use of the SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis technique. As far as is known, the current study is the first of its kind in the field of Iraqi project management. The results suggest that the BIM benefits include firm's growth, organizational performance, enhanced market value, employee motivation, and service quality. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
22. Optimizing Urban Layout: A System Dynamics, Artificial Intelligence, and 3D Urban Information Model Approach for Active Management of City Complexity.
- Author
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Wang, Hanbin, Hijazi, Ihab, Donaubauer, Andreas, and Kolbe, Thomas H.
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ARTIFICIAL intelligence ,SYSTEM dynamics ,INFORMATION modeling ,URBANIZATION ,URBAN growth ,THREE-dimensional modeling - Abstract
This study focuses on the integration of System Dynamics (SD), Artificial Intelligence (AI) technology, and 3D Urban Information Modeling (CityGML) in the field of urban planning. It aims to optimize urban layout to cope with rapid urban growth, emphasizing resource allocation through a combination of greedy strategies and AI methods. The core contribution of this paper is to provide spatial allocation of feedback from simulation techniques i.e. SD using the application of genetic algorithms (GA) based on a greedy strategy. The methodology was implemented using a fictitious case study in Berlin, where new students' dorms are required according to the growth in the number of students. The SD tool is used to simulate the growth over 5 years and determine the number of new dorms required. A genetic algorithm is used to optimize the planning objectives of allocating 16 new dorms in 186 possible locations. The algorithm effectively handles the feedback from SD and applies complex multi-objective optimization problems, addressing the challenge of accommodating a growing student population. It proposes strategic dormitory allocations that balance factors such as cost efficiency, campus accessibility, and proximity to public transportation systems. We use CityGML data to simulate and predict future urban transformation, providing dynamic and realistic representations for urban planning decisions and updating the original city models. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
23. Informational Modeling of Cities: Method and Challenges for Institutional Implementation.
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Pereira, Augusto Pimentel and Prokopiuk, Mario
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URBAN renewal , *URBAN planning , *CITIES & towns , *INFORMATION modeling , *PUBLIC administration - Abstract
Although cities are increasingly permeated by information and communication technologies (ICTs), these urban centers still face theoretical and practical obstacles regarding the application of 3D technologies as a tool for urban planning and management. This study aims to ontologically structure an informational model as an urban management tool and assess the perceived challenges for implementing this model in the municipal public management of Curitiba, Brazil. The study was carried out through the collective subject discourse, the interviews' thematic saturation, and Delphi techniques. The results indicate that the technical capacity, technological infrastructure, and financial resources for the development of a city information modeling (CIM) exist, although its activation for such development depends on a more significant political and managerial entrepreneurship in the decision-making in arrangements of multilevel governance, and, consequently, there is a need to develop public policies for staff training to stimulate and promote advanced technological innovations for urban management and planning. Implementing a CIM in large cities seems to face more management and planning problems due to the lack of institutional ontologies than technological, infrastructural, or knowledge limitations. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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24. Built environment defect mapping, modeling, and management (D3M): A BIM-based integrated framework.
- Author
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Junjie Chen, Weisheng Lu, and Donghai Liu
- Subjects
INFRASTRUCTURE (Economics) ,BUILDING information modeling ,BUILT environment ,INFORMATION modeling ,ASSET management - Abstract
The built environment is subject to various defects as it ages. A well-maintained built environment depends on surveying activities to inspect, document, and rehabilitate the defects that occurred. The advancement of digital technologies paves the pathway towards (1) comprehensive defect inspection by systematic mapping, (2) their consistent documentation by digital modeling, and (3) timely retrofitting by proactive management. However, the three steps of defect mapping, modeling, and management (D3M) remain largely fragmented and have yet to be synergized. Exploiting the pivotal role of building information modeling (BIM) in built asset management, this paper puts forward a cohesive framework for integrated D3M. It leverages the rich geometric-semantic information in BIM to assist defect mapping and enriches the BIM by industry foundation classes (IFCs)-represented defect information. The defect-enriched BIM facilitates defect management in a data-driven manner. The framework was applied in multiple real-life infrastructure and civil works projects. It demonstrates how the BIM-based D3M framework can enhance the maintenance of those that have been built, and ultimately contribute to a safe and sustainable built environment. Future studies are called for to substantiate each of the 3Ms by leveraging BIM as both an enabler and a beneficiary. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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25. Application of BIM in conjunction with circular economy principles for sustainable construction.
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Sudarsan, J. S. and Gavali, Hindavi
- Subjects
CIRCULAR economy ,SUSTAINABLE construction ,SUSTAINABILITY ,ENVIRONMENTAL economics ,INFORMATION modeling ,ENVIRONMENTAL impact analysis - Abstract
With the rising population and urbanization in developing countries, the building sector must contribute to sustainable construction. To achieve this, it must consider suitable design methodology, circular financial models, and holistic processes like information modeling, as collaboration is the fundamental tool for producing better outcomes. In the present study, different design alternatives, one conventional and the other with the proposed materials and methods were analyzed computationally for their cost and environmental impacts with the help of a residential building case. The results show that sustainable construction practices, such as low cost and less carbon-emitting materials reduced the overall cost by 25% and carbon emissions by 20%. Moreover, vital practices are recommended to meet the circular economy's objectives in building construction. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
26. Cost Efficiency of Retrofitting Green Chemical Industrial Buildings.
- Author
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Husin, Albert Eddy, Sinaga, Lastarida, Amin, Mawardi, Kristiyanto, Arif, Eka Juni, Kussumardianadewi, Bernadette D., and Ator, Wyllem T.
- Subjects
INDUSTRIAL buildings ,RETROFITTING ,BUILDING information modeling ,BLOCKCHAINS ,INFORMATION modeling ,PUBLIC works - Abstract
Climate change is a threat and crisis that hit the world today. The green industry is widely implemented in the manufacturing sector as an effort to reduce negative impacts on the environment. The implementation of the green industry is influenced by various factors. The Chemical Industry is one sector that faces challenges in implementing green industry practices. The objective of this paper is to create an innovative conceptual framework that combines blockchain technology and building information modeling. This research examines the concept of green retrofitting in the chemical industry using an assessment based on the Ministry of Public Works and Housing Regulation No. 21 of 2021. The study was conducted in a chemical industry located in Cilegon, Banten, Indonesia. The research method combines Blockchain-Building Information Modeling (BIM) to analyze the cost efficiency of green retrofitting and Structural Equation Modeling-Partial Least Squares (SEM-PLS) as a tool to process data from questionnaires and identify influential factors. The results indicate that the use of Blockchain-BIM can reduce retrofitting costs by 4.42% for low-level, 4.45% for medium-level, and 4.40% for high-level categories. This demonstrates that Blockchain-BIM has a significant impact on improving cost performance in the retrofitting process. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
27. Segmenting Urban Scene Imagery in Real Time Using an Efficient UNet-like Transformer.
- Author
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Xu, Haiqing, Yu, Mingyang, Zhou, Fangliang, and Yin, Hongling
- Subjects
TRANSFORMER models ,CONVOLUTIONAL neural networks ,IMAGE segmentation ,INFORMATION modeling ,REMOTE sensing ,SUSTAINABLE development ,ENVIRONMENTAL protection ,SUSTAINABLE urban development - Abstract
Semantic segmentation of high-resolution remote sensing urban images is widely used in many fields, such as environmental protection, urban management, and sustainable development. For many years, convolutional neural networks (CNNs) have been a prevalent method in the field, but the convolution operations are deficient in modeling global information due to their local nature. In recent years, the Transformer-based methods have demonstrated their advantages in many domains due to the powerful ability to model global information, such as semantic segmentation, instance segmentation, and object detection. Despite the above advantages, Transformer-based architectures tend to incur significant computational costs, limiting the model's real-time application potential. To address this problem, we propose a U-shaped network with Transformer as the decoder and CNN as the encoder to segment remote sensing urban scene images. For efficient segmentation, we design a window-based, multi-head, focused linear self-attention (WMFSA) mechanism and further propose the global–local information modeling module (GLIM), which can capture both global and local contexts through a dual-branch structure. Experimenting on four challenging datasets, we demonstrate that our model not only achieves a higher segmentation accuracy compared with other methods but also can obtain competitive speeds to enhance the model's real-time application potential. Specifically, the mIoU of our method is 68.2% and 52.8% on the UAVid and LoveDA datasets, respectively, while the speed is 114 FPS, with a 1024 × 1024 input on a single 3090 GPU. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
28. An Improved CREAM Model Based on DS Evidence Theory and DEMATEL.
- Author
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Zhihui Xu, Shuwen Shang, Yuntong Pu, Xiaoyan Su, Hong Qian, and Xiaolei Pan
- Subjects
INFORMATION modeling ,FAILURE (Psychology) ,DEMPSTER-Shafer theory ,INFORMATION processing - Abstract
Cognitive Reliability and Error Analysis Method (CREAM) is widely used in human reliability analysis (HRA). It defines nine common performance conditions (CPCs), which represent the factors that may affect human reliability and are used to modify the cognitive failure probability (CFP). However, the levels of CPCs are usually determined by domain experts, which may be subjective and uncertain. What's more, the classic CREAM assumes that the CPCs are independent, which is unrealistic. Ignoring the dependence among CPCs will result in repeated calculations of the influence of the CPCs on CFP and lead to unreasonable reliability evaluation. To address the issue of uncertain information modeling and processing, this paper introduces evidence theory to evaluate the CPC levels in specific scenarios. To address the issue of dependence modeling, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to process the dependence among CPCs and calculate the relative weights of each CPC, thus modifying the multiplier of the CPCs. The detailed process of the proposed method is illustrated in this paper and the CFP estimated by the proposed method is more reasonable. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
29. Improving the system of training the specialists for designers of construction BIM-technologies in the higher professional school for transport and industrial-civil construction (on the example of Ural State University of Railway Transport).
- Author
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Bystrov, N. S. and Demidov, A. S.
- Subjects
- *
PROFESSIONAL schools , *STATE universities & colleges , *EDUCATIONAL planning , *INFORMATION modeling , *CIVIL engineering , *EDUCATIONAL technology , *EMAIL systems - Abstract
This article is devoted to the problems of training specialists in BIM design for industrial, civil and transport construction. This article reflects the features of development of national educational technologies related to BIM design and the stages of their implementation on the example of the Faculty of Civil Engineering of the Ural State Transport University. The stages and degree of integration of information modeling (design) processes in the educational process of Ural State Transport University are described. The key issues that determine the concept of development of educational processes aimed at implementation of the training the graduates-builders with modern and promising knowledge are considered. The article also highlights the possibilities and prospects for development of a training system for the construction industry of the Russian Federation. The ways of improving the existing systems of interaction between the university and a potential employer are outlined. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
30. TOTEs and trauma: a cybernetic, extended recursion schematic for hyper vigilance.
- Author
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Patterson, Kip Errett
- Subjects
- *
CYBERNETICS , *POST-traumatic stress disorder , *SOCIAL impact , *INFORMATION modeling - Abstract
Purpose: This conceptual article presents a schematic for use with extended cybernetic recursion in living systems and applies it to the issue of hyper vigilance as a demonstration of its utility. Design/methodology/approach: The test-operate-test-exit (TOTE) schematic of Miller et al. (1960) is critically evaluated along with other schematics, including those of ordered cybernetics, and a new schematic is proposed, a recursive test-operate-test (rTOT), which emphasizes teleological purpose and hierarchical structure. The background psychophysiology of trauma is reviewed and then rTOT is applied to hyper vigilance, a cardinal component of post-traumatic stress disorder (PTSD). Findings: Once the schematic was developed, it was applied to the behavior of hyper vigilance. Other applications are suggested. Research limitations/implications: As demonstrated, the rTOT schematic has potentially wide application because of its pragmatic and detailed structure. Practical implications: The rTOT requires careful consideration of teleological purposes for its application and is simple enough, but also complex enough, for relevant utilization. Its compact nature and adjustable hierarchy scope are good mini-max complexity solutions for cybernetic, information modeling schematics. Social implications: The revealed teleological purpose of the trauma adaptation of hyper vigilance presents significant alternative formulation options for prevention and intervention. Originality/value: While the rTOT schematic is derived from previous schematics, it is original in its emphasis on information processing, the teleological aspects of extended recursion and on the provision of a hierarchical structure for those recursions. It is considerably more compact than other schematics associated with the ordered cybernetics literature. The explication of the adaptation model for post-trauma consequences is significantly enhanced by the rTOT application. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
31. A novel uncertain information modeling method based on cosine similarity and cross entropy under spherical uncertain linguistic fuzzy set.
- Author
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Ma, Qianxia, Zhu, Xiaomin, Bai, Kaiyuan, Pu, Qian, and Zhang, Runtong
- Subjects
- *
INFORMATION modeling , *FUZZY sets , *DECISION theory , *FUZZY integrals , *GROUP decision making - Abstract
Multi-attribute group decision-making (MAGDM) is one of the research hotspots in human cognitive and decision-making theory. However, there are still challenges to the existing MAGDM methods in modeling uncertain linguistics of decision-makers' (DMs') cognitive information and objectively obtaining weights. Therefore, this paper aims to develop a new MAGDM method considering incomplete known weight information under spherical uncertain linguistic sets (SULSs) to model uncertain information in MAGDM problems. The method mainly includes the following aspects. Firstly, a new concept, which enables an intuitive evaluation of neutral membership and hesitancy degrees at the linguistic evaluation, has been is first developed for capturing the more uncertain information. Secondly, the cosine similarity measure (CSM) and cross-entropy measure (CEM) are widely used to measure ambiguous information because of their robustness of measurement results. The CSM and CEM are extended to SULSs to calculate the DMs' and attributes weights quantitively, respectively. Thirdly, in terms of effective integration of fuzzy information to obtain more accurate decision results, the Hamy mean (HM) and dual Hamy mean (DHM) operators are valued due to their consideration of the interrelationships between inputs. Two extension operators, named spherical fuzzy uncertain linguistic weight HM and DHM, are proposed to integrate spherical fuzzy uncertain linguistic information in the third stage. In the experiment, a decision case is presented to illustrate the applicability of the proposed method, and results show the effectiveness, flexibility and advantages of the proposed method are demonstrated by numerical examples and comparative analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
32. Remaining useful life prediction using the similarity-based integrations of multi-sensors data.
- Author
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Baharshahi, Mohammad, Seyedhosseini, S. Mohammad, and Limon, Shah M
- Subjects
REMAINING useful life ,ARTIFICIAL intelligence ,DATA fusion (Statistics) ,DEMPSTER-Shafer theory ,MULTISENSOR data fusion ,INFORMATION modeling - Abstract
In prognostics and health management, the system's degradation condition assessment and corresponding remaining useful life prediction are the most important tasks. Both of these processes are heavily dependent on information gathered by multiple sensors, which eventually causes data fusion-related complex problems. Typically, sensor information contains the speed, pressure, temperature, and similar other types of various system data. These systems' data obtained through sensors can be utilized as a part of the evidence in the evidence-based estimation method. In this work, an artificial intelligence-based novel framework for estimating the remaining useful life using data fusion has been presented. The Dempster–Shafer extended theory is adopted for sensor information modeling and data fusion. Besides, two different scenarios are introduced to determine the similarity between the studied system and the available evidence. As a case study, the turbofan dataset is demonstrated to assess the proposed method. Based on the results, our integrated proposed method performs very competitively compared with the existing methods based on standard scores and performance criteria. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
33. Printing Information Modeling (PIM) for Additive Manufacturing of Concrete Structures.
- Author
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Peralta Abadia, Patricia, Ahmad, Muhammad E., and Smarsly, Kay
- Subjects
INFORMATION modeling ,CONCRETE additives ,ONTOLOGIES (Information retrieval) ,MANUFACTURING processes ,SOFTWARE development tools - Abstract
In the context of Industry 4.0, construction processes are shifting towards automation by implementing additive manufacturing (AM) of concrete structures, also referred to as concrete printing. Adapting concrete as a printing material entails complex material–process interactions between concrete and manufacturing processes that require specialized data modeling. However, data modeling for the AM of concrete structures has not kept up with concrete printing research and development. Aiming to enhance data modeling for the AM of concrete structures, this paper proposes a semantic modeling approach, referred to as "printing information modeling" (PIM). The PIM approach defines input parameters and material–process interaction in a generic printing information model for designing and planning concrete printing projects. Exchange requirements for concrete printing are identified and evaluated, serving as the basis for the printing information model. The printing information model, as a semantic (or meta) model, is conceptualized using object-oriented modeling concepts, formalized as an ontology, verified as an instantiable semantic model, and validated with a software tool developed as a plug-in for BIM platforms. As a result, a printing information model is developed to serve as a generally valid semantic model for the AM of concrete structures and has the potential to improve data modeling concepts currently deployed for concrete printing. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
34. Conceptual issues of abandoned construction projects' revival based on building and information modeling (BIM technologies).
- Author
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Bashkirov, Genadij, Kotlyar, Mykola, and Dzhalalov, Makhmudzhan
- Subjects
- *
CONSTRUCTION projects , *BUILDING information modeling , *REHABILITATION technology , *ENVIRONMENTAL degradation , *INFORMATION modeling , *LAND resource - Abstract
The article concerns scientific approaches to solving the problem of revival of abandoned (desolate) construction projects, a significant number of which exists in our country and abroad. The presence of abandoned (unused) facilities leads to both inefficient use of land resources and environmental damage, damage to the state and the owners of such facilities. The urgency of the problem also lies in the insufficient state policy on the issues of abandoned projects' revival and in the practical absence of a scientific and methodological base that solves (or approaches to solving) the problem. An attempt has been made to develop a general concept and an enlarged algorithm for revival of abandoned construction projects, considering the entire life cycle of the revival with possible alternatives: from liquidation to the selection and implementation of the most effective use based on the idea of construction information modeling (BIM technologies). [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
35. Features of the formation of the organizational and technological platform for the activities of the project manager.
- Author
-
Lapidus, Azariy and Kuzmina, Тatiana
- Subjects
- *
PROJECT managers , *DIGITAL technology , *INFORMATION modeling , *CONSTRUCTION projects , *SYSTEMS engineering , *PROJECT management , *BUILDING repair - Abstract
Currently, there is no platform that combines the technological and organizational aspects of the project manager, although they are the most significant figures in the implementation of large-scale investment projects. The article discusses the features of the formation of the organizational and technological platform for the manager activities of a large-scale construction project. It is viewed as a complex system and the study is carried out from a systems engineering perspective. The successful implementation of a large-scale project depends on the desire of the participants involved in its implementation to achieve a common goal. The organizational and technological platform is considered as a set of goals and objectives in the management of a large-scale project using modern material resources, skilled workers using information modeling and data protection technologies. The basic goal of the project manager is the implementation of a large-scale construction project on time and within the limits of the labor and financial resources. The life cycle of a large-scale construction project is considered as a set of goals at the following main stages: pre-project preparation, survey and design, construction, and facility commissioning. The development of organizational and technological platforms in construction starts to develop actively due to the active introduction of digital technologies in the industry, but at present there is no formation of organizational and technological platforms for the activities of the project manager. Along with this, the development of an organizational and technological platform for the project manager will ensure the stability of his activities, will plan the costs of the formation, development and maintenance of the organizational and technical structure of this service, and will improve the quality of project management in general and in relation to information modeling conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
36. International experience in the application of building information modeling at the life cycle of a building.
- Author
-
Adamtsevich, Liubov, Shilov, Leonid, and Ginzburg, Evgeniia
- Subjects
- *
BUILDING information modeling , *INFORMATION modeling , *WASTE management , *DATABASES - Abstract
The purpose of the article is to analyze international experience in the application of information modeling technologies at various stages of the construction object life cycle to identify promising areas for further research. To achieve this goal, a sample of publications presented in the international Scopus database in the period from 2017-2021 was collected, the most cited publications of 2022 were analyzed. As a result of the research, it was revealed that the largest number of publications addresses issues related to the use of information modeling technologies at the stages of design and construction, at the same time, issues related to the use of information modeling technologies at the stage of decommissioning a construction object and during its demolition remain poorly understood. At the same time, the most promising area of research, in the opinion of the authors, are issues related to the disposal and processing of waste generated during the demolition of an object using information modeling technologies, since the process of disposal and processing of such waste is long and resource intensive. To plan in advance the disposal of waste, as well as the need for the composition and capacity of equipment, an information model for managing the data flow for the management of waste generated during the demolition of a building will help. At the same time, it is necessary to consider the purpose of the demolished object, since the scheme for the disposal and recycling of waste will be different. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
37. Integration of the engineering and technical preparation of construction model into the digital model of an industrial facility.
- Author
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Mukhambetzhan, Z. Y., Mukhametzyanov, Z. R., Yeskaliyev, M. Z., and Davletshin, E. G.
- Subjects
- *
INFORMATION modeling , *CONSTRUCTION costs , *INFORMATION organization , *INDUSTRIAL costs , *CONSTRUCTION industry , *CONSTRUCTION projects - Abstract
The current state of the construction industry is characterized by a complex composition and conditions for the development of organizational and technological solutions aimed at the interaction of the main categories of participants. An insufficient level of construction preparation can lead to untimely completion and commissioning of construction projects, a significant increase in the cost and prime cost of construction production, and a decrease in indicators of the functional quality of construction products. The purpose of the research in this article is to analyze the factors that influence the composition of organizational and technological solutions for the preparation of the construction of industrial facilities. The main result of the study is the development of an algorithm for the development and integration of a model of organizational and technological solutions for the preparation of construction into a global digital model of an industrial facility. The article analyzes the features of the processes of organization and development of the information modeling environment of properties and states (global digital model) of the main stages of the life cycle of industrial facilities. It has been established that the vast majority of modern information technologies are focused on the development and solutions of design (architectural and construction, constructive, functional and technological) tasks. Accordingly, the formation of digital models for subsequent stages of the life cycle (including the modeling of organizational and technological solutions for construction preparation) seems to be a promising direction in the development of information technologies and the potential of a global digital model that reflects the features of the properties and states of a particular industrial facility. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
38. Information modeling of quality control of construction and installation works.
- Author
-
Kabanov, Vadim N.
- Subjects
- *
INFORMATION modeling , *QUALITY control standards , *QUALITY control , *BUILDING information modeling , *MANUFACTURING processes , *MEASURING instruments - Abstract
As a result of the study of national standards used for quality control in construction, the conclusion is substantiated that in relation to the production processes of construction and installation works, the standards do not regulate quantitative characteristics, as well as tools and methods of their measurement. This conclusion confirms the relevance of the research topic, the high potential for increasing knowledge and practical application of the published results. The purpose of the study was to study the published results of the study and build a fundamental information model designed to assess the quality of the construction process. Based on the results of the analysis of open sources of information, the results are presented in the form of a structure that consists of a description of the principles of construction and requirements for an information model, a system of controlled parameters of technological processes, measuring instruments, as well as models of interaction of participants in the construction control of technological processes of construction and installation works. The result of the study is presented in the form of writing a flowchart of an information model of construction control of technological processes in construction. The conclusions provide limitations on the scope of the model, as well as prospects for further research. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
39. Synthesis of parameters for modeling construction production lines at building infrastructural facilities in urban area.
- Author
-
Bobrova, T., Kodentseva, Yu., and Schneider, V.
- Subjects
- *
ASSEMBLY line methods , *BUILDING sites , *INFORMATION technology , *SCHOOL facilities , *INFORMATION modeling , *OFFICES - Abstract
The authors provide the peculiarities of the organization of the infrastructure facilities' construction by means of the line production method in the constraint urban environment. The authors analyze the experience and advantages of the application of integrated computer offices to optimize organization and technological solutions at the stage of construction scheduling. The authors provide a rationale and developed the algorithms for the information modeling of construction production line systems with the use of structural¶metric synthesis methods. To implement the method at the first stage (level), the authors stipulate for the calculation and optimization of partial production line parameters during the process operations at certain structured facility components in the automated mode. The basis for resource regulation at the stage are the flowsheets of operational sequences. To form a schedule of a complex production line at the second stage, the authors used design characteristics for partial production lines to set resource and front ties between process operations at various facility structural components. The proposed method implementation was illustrated by two urban facilities: the embankment in Tyumen and the quay in Omsk. The convergence of simulation and information technology in combination with the process visualization at the construction site allows optimizing the construction term as well as synchronizing all control types and logistic and maintenance support with the works completion schedule. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
40. BIM modeling technologies in motorway life cycle control systems.
- Author
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Kodentseva, J., Gerlein, A., Andreeva, V., and Koroleva, V.
- Subjects
- *
LIFE cycles (Biology) , *INFORMATION modeling , *ROAD maintenance , *EXPRESS highways - Abstract
This study discusses the application of BIM modeling technologies for all life cycle stages of civil construction objects. Main trends of modern construction are identified. BIM modeling effectiveness is analyzed in the fields of design, construction, and operation of civil construction objects. Domestic and foreign experience in the implementation of information modeling technologies is highlighted. The main modeling stages are described that are used to model an object life cycle control system. 6d and 7d modeling for a civil construction object is discussed including its structure and specific aspects. The project implementation is analyzed according to the concept of information modeling in the life cycle management system. The need to use information modeling is substantiated to facilitate winter road maintenance. A possible way to improve winter road maintenance using BIM modeling technology is considered. The structure of the winter road maintenance management model is presented. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
41. Information Acquisition Under Resource Limitations in a Noisy Environment.
- Author
-
SOLOVIEV, MATVEY and HALPERN, JOSEPH Y.
- Subjects
INFORMATION modeling ,CONCEPT learning - Abstract
We introduce a theoretical model of information acquisition under resource limitations in a noisy environment. An agent must guess the truth value of a given Boolean formula f after performing a bounded number of noisy tests of the truth values of variables in the formula. We observe that, in general, the problem of finding an optimal testing strategy for f is hard, but we suggest a useful heuristic. The techniques we use also give insight into two apparently unrelated but well-studied problems: (1) rational inattention, that is, when it is rational to ignore pertinent information (the optimal strategy may involve hardly ever testing variables that are clearly relevant to f), and (2) what makes a formula hard to learn/remember. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
42. Graph network based deep learning of bandgaps.
- Author
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Li, Xiang-Guo, Blaiszik, Ben, Schwarting, Marcus Emory, Jacobs, Ryan, Scourtas, Aristana, Schmidt, K. J., Voyles, Paul M., and Morgan, Dane
- Subjects
- *
MACHINE learning , *CRYSTAL symmetry , *DENSITY functional theory , *DEEP learning , *INFORMATION modeling , *DATA structures , *PREDICTION models - Abstract
Recent machine learning models for bandgap prediction that explicitly encode the structure information to the model feature set significantly improve the model accuracy compared to both traditional machine learning and non-graph-based deep learning methods. The ongoing rapid growth of open-access bandgap databases can benefit such model construction not only by expanding their domain of applicability but also by requiring constant updating of the model. Here, we build a new state-of-the-art multi-fidelity graph network model for bandgap prediction of crystalline compounds from a large bandgap database of experimental and density functional theory (DFT) computed bandgaps with over 806 600 entries (1500 experimental, 775 700 low-fidelity DFT, and 29 400 high-fidelity DFT). The model predicts bandgaps with a 0.23 eV mean absolute error in cross validation for high-fidelity data, and including the mixed data from all different fidelities improves the prediction of the high-fidelity data. The prediction error is smaller for high-symmetry crystals than for low symmetry crystals. Our data are published through a new cloud-based computing environment, called the "Foundry," which supports easy creation and revision of standardized data structures and will enable cloud accessible containerized models, allowing for continuous model development and data accumulation in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
43. Siamese transformer RGBT tracking.
- Author
-
Wang, Futian, Wang, Wenqi, Liu, Lei, Li, Chenglong, and Tang, Jing
- Subjects
FEATURE extraction ,ARTIFICIAL satellite tracking ,DATA mining ,INFORMATION modeling - Abstract
Siamese-based RGBT trackers have attracted wide attention because of their high efficiency. However, there is a lack of an effective multimodal fusion module and information interaction between the search area and template area, which leads to poor performance of these siamese-based RGBT trackers. To solve this problem, inspire by the global information modeling capability of the transformer, we construct a siamese-based transformer RGBT tracker consisting of a single unified transformer module. Specifically, we propose a unified transformer fusion module to achieve feature extraction and global information interaction in the siamese RGBT tracker, i.e., the interaction between the search area and template area, the interaction between different modalities. It consists of self-attention and cross-attention, which are used to extract features and information interaction respectively. In addition, to alleviate the impact of multimodal fusion on the efficiency of template update in the tracking stage, we propose a feature-level template update strategy, which effectively improves tracking efficiency. To verify the effectiveness of our tracker, we evaluate it on five benchmark datasets including GTOT, RGBT210, RGBT234, LasHeR and VTUAV, and the results show that our tracker achieves excellent performance compared to the state-of-the-art methods. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
44. Semantic Context Information Modeling With Neural Networks in Customer Order Behavior Classification.
- Author
-
Ulrich, Philipp, Ramzy, Nour, and Ratusny, Marco
- Subjects
- *
INFORMATION modeling , *CONVOLUTIONAL neural networks , *CONSUMERS , *KNOWLEDGE graphs , *IMAGE recognition (Computer vision) , *HOPFIELD networks , *ONTOLOGIES (Information retrieval) - Abstract
Demand planning in the semiconductor industry can be complicated due to challenges such as extended cycle times, rapid innovation cycles, and the Bullwhip Effect. Approaches that provide a deeper understanding of customer orders and their associated demand are crucial to enhance demand planning accuracy. Previous studies have employed convolutional neural networks (CNNs) on heat map representations of customer order transactions to effectively classify customer order behaviors (COBs), leading to improved insights into customer behavior. However, these approaches have primarily focused on analyzing customer order patterns without considering contextual information, such as financial or market-related data, which can benefit the classification process. Therefore, we propose a Semantic Context Information Modeling methodology for Neural Networks (SCIM-NN) based on ontologies, knowledge graph embeddings, and multi-stream neural networks to include context information for a classification task. We show the application of SCIM-NN on a use case in the domain of COB and evaluate the performance of the context-aware model on customer data of Infineon Technologies AG. Results indicate that including context information improves the overall classification performance compared to a benchmark CNN. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
45. A dual-view network for fault diagnosis in rotating machinery using unbalanced data.
- Author
-
Chen, Zixu, Yu, Wennian, Kong, Chengcheng, Zeng, Qiang, Wang, Liming, and Shao, Yimin
- Subjects
FAULT diagnosis ,ROTATING machinery ,FEATURE extraction ,INFORMATION modeling ,GAUSSIAN distribution - Abstract
Data-driven intelligent methods have demonstrated their effectiveness in the area of fault diagnosis. However, most existing studies are based on the assumption that the distributions of normal and faulty samples are balanced during the diagnostic process. This assumption significantly decreases the application range of a diagnostic model as the samples in most real-world scenarios are highly unbalanced. To cope with the limitations caused by unbalanced data, this paper proposed an original dual-view network (DVN). Firstly, an interactive graph modeling strategy is introduced for relationship information modeling of multi-sensor data. Meanwhile, the graph convolution operation is used as the baseline for feature extraction of the constructed interactive graph to mine for fault representations. Secondly, an original dual-view classifier consisting of a binary classifier and a multi-class classifier is proposed, which divides fault diagnosis into two stages. Specifically, in the first stage, the binary classifier performs the binary inference from the view of fault detection. In the second stage, the multi-class classifier performs the full-state inference from the view of fine-grained fault classification. Then, based on the dual-view classifier, a weight activation module is designed to alleviate training bias toward majority classes by sample-level re-weighting. Finally, the diagnosis results can be obtained according to the output of the multi-class classifier. Fault diagnosis experiments using two different datasets with varying data unbalance ratios were conducted to validate the effectiveness of the proposed method. The superiority of the proposed DVN is verified through comparisons with state-of-the-art methods. The effectiveness of the DVN is further validated through ablation studies with some ablative models. The DVN code is available at: https://github.com/CQU-ZixuChen/DualViewNetwork. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
46. A Bridge Information Modeling (BrIM) Framework for Inspection and Maintenance Intervention in Reinforced Concrete Bridges.
- Author
-
Mohamed, Ahmed Gouda, Khaled, Ahmed, and Abotaleb, Ibrahim S.
- Subjects
REINFORCED concrete ,INFORMATION modeling ,CONCRETE bridges ,BRIDGE inspection ,BRIDGE maintenance & repair ,INFRASTRUCTURE (Economics) ,BRIDGES - Abstract
Reinforced concrete bridges (RCBs) are essential elements of transportation infrastructure, necessitating ongoing inspection and maintenance to guarantee their durability and structural integrity. This research aims to develop an integrated framework for inspection and maintenance intervention in reinforced concrete bridges (RCB), leveraging the potential of as-is Bridge Information Modeling (BrIM). The methodology begins by converting 2D drawings into a 3D as-is BrIM model, facilitating a more accurate representation of the bridge's current state. This is followed by creating a comprehensive bridge inventory, allowing for meticulous tracking of vital components and their condition. Subsequently, inspection data are acquired using advanced sensing technologies, enabling real-time data collection and analysis. Structural defects are modeled on the as-is BrIM model to enhance diagnostic capabilities, providing a visual representation of areas requiring intervention. The framework also makes it easier to create reports, ensuring that important information is efficiently shared with the right people. A thorough case study using a concrete bridge is used to show the effectiveness of the created framework. The BrIM framework's potential to improve the bridge inspection and maintenance process was demonstrated by integrating inspection reporting with BrIM, which produced encouraging results. The research contribution to the body of knowledge is significant as the developed framework considerably enhances the administration of bridge inspection and maintenance procedures, resulting in greater efficacy by offering a thorough and clear picture of the bridge's current state. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
47. Information model of low-voltage distribution IoT monitoring terminal based on IEC 61850.
- Author
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Huang, Guozheng, Wang, Jinghua, Huang, Mengzhe, Wu, Hongbo, Zhan, Yijia, and Cai, Ziheng
- Subjects
- *
INFORMATION modeling , *INTERNET of things , *POWER resources , *ELECTRICITY safety , *MICROGRIDS , *ELECTRIC lines - Abstract
Low-voltage distribution lines lack efficient monitoring. With the massive proliferation of distributed energy resource supply, it is necessary to establish an effective monitoring system for low-voltage distribution lines to ensure the electrical safety and continuity of power supply services. This paper proposes monitoring system for low-voltage distribution lines based on the Internet of things (IoT) technology. An IoT based monitoring system contains a large number of low-voltage monitoring terminals, different manufacturers, and different types of terminal equipment to solve the interconnection problem of information interaction. This paper first analyzes the terminal functional communication requirements based on IEC 61850 standards. Further, the information models required by the electrical volume collection and non-electric quantity collection functions are studied. The information modeling for different types of monitoring terminal equipment is presented and thus provide the configuration suggestions. The monitoring terminal based on the information model developed in this paper is applied in a university campus to realize the monitoring of low-voltage lines and distributed power supply. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
48. An Information Algorithm: Advancing Financial Intelligence Management for Economic Security.
- Author
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Khrushch, Nila, Grytsyshen, Dymytrii, Baranovska, Tetiana, Hrabchuk, Iryna, and Shevchuk, Oleksandr
- Subjects
ECONOMIC security ,FINANCIAL management ,FINANCIAL security ,INFORMATION modeling ,ECONOMIC systems ,INFORMATION technology security - Abstract
This research aims to establish an optimized information foundation to bolster the effectiveness of financial intelligence management within the system of economic security. The chief scientific objective is to introduce an information algorithm, specifically designed for the management of financial intelligence, to fortify the economic security framework. The focal point of the research is the information support system pertaining to financial intelligence management. The research methodology is anchored in the application of contemporary information modeling methods, supplemented by functional algorithmization of processes. A modern graphic method is employed to enhance comprehensibility and accessibility. As an outcome of the study, a model of an information algorithm is presented, tailored to manage financial intelligence within the economic security system. However, the study acknowledges its limitations and does not incorporate all the elements of economic security assurance. Future research is recommended to delve into the specifics of information security within the financial intelligence management system. A distinct advantage of the proposed information algorithm lies in its graphic representation, enhancing the accessibility of the financial intelligence management system. The research scope is regional, indicating a limitation in the study. Future work should aim to expand the geographic applicability of these findings, enhancing the generalizability and relevance of the study. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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49. Modeling of Traffic Information and Services for the Traffic Control Center in Autonomous Vehicle-Mixed Traffic Situations.
- Author
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Yang, Dong-Hyuk, Choi, Sung-Soo, and Kang, Yong-Shin
- Subjects
TRAFFIC engineering ,CONTROL rooms ,INFORMATION modeling ,INFORMATION services ,REAL-time control ,AUTONOMOUS vehicles ,DRIVERLESS cars - Abstract
Achieving fully autonomous driving requires seamless collaboration between advanced autonomous driving and road infrastructure technologies. As the proportion of autonomous vehicles (AVs) increases, challenges may arise from their insufficient knowledge of the behavior of traffic objects and inability to effectively drive short distances. Therefore, traffic control centers that can proactively control these issues in real time are essential. In this study, first, the terminology is defined and the types of AV-mixed Traffic Information that a traffic control center needs to efficiently collect, store, and analyze to accommodate the coexistence of AVs and conventional vehicles are identified. Second, a generic notation for an AV-mixed Traffic Information model is defined and the results of modeling each AV-mixed Traffic Information type are presented. Third, an AV-mixed Traffic Information services model that included the names, operations, input/output messages, and relationships of all services is suggested. Finally, the importance of the service functionalities is evaluated through a survey. This study will serve as an initial guideline for the design, construction, and operation of traffic control centers and will help proactively address issues that may arise from the interaction between AVs and conventional vehicles on the road. Moreover, it contributes to identifying the types of traffic information and services that traffic control centers must provide in the era of AV-mixed traffic and suggests future directions for analysis and utilization of traffic information. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
50. Ensemble Model for Spindle Thermal Displacement Prediction of Machine Tools.
- Author
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Ping-Huan Kuo, Ssu-Chi Chen, Chia-Ho Lee, Po-Chien Luan, and Her-Terng Yau
- Subjects
SPINDLES (Machine tools) ,MACHINE tools ,MACHINE learning ,TEMPERATURE sensors ,PREDICTION models ,INFORMATION modeling - Abstract
Numerous factors affect the increased temperature of amachine tool, including prolonged and high-intensity usage, tool-workpiece interaction, mechanical friction, and elevated ambient temperatures, among others. Consequently, spindle thermal displacement occurs, and machining precision suffers. To prevent the errors caused by the temperature rise of the Spindle fromaffecting the accuracy during the machining process, typically, the factory will warm up themachine before themanufacturing process. However, if there is noway to understand the tool spindle's thermal deformation, the machining quality will be greatly affected. In order to solve the above problem, this study aims to predict the thermal displacement of the machine tool by using intelligent algorithms. In the practical application, only a few temperature sensors are used to input the information into the prediction model for realtime thermal displacement prediction. This approach has greatly improved the quality of tool processing. However, each algorithm has different performances in different environments. In this study, an ensemble model is used to integrate Long Short-TermMemory (LSTM) with Support VectorMachine (SVM). The experimental results show that the prediction performance of LSTM-SVM is higher than that of other machine learning algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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