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Journal articles on the topic 'Building Model Generation'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Yastikli, N., and Z. Cetin. "AUTOMATIC 3D BUILDING MODEL GENERATIONS WITH AIRBORNE LiDAR DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 411–14. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-411-2017.

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LiDAR systems become more and more popular because of the potential use for obtaining the point clouds of vegetation and man-made objects on the earth surface in an accurate and quick way. Nowadays, these airborne systems have been frequently used in wide range of applications such as DEM/DSM generation, topographic mapping, object extraction, vegetation mapping, 3 dimensional (3D) modelling and simulation, change detection, engineering works, revision of maps, coastal management and bathymetry. The 3D building model generation is the one of the most prominent applications of LiDAR system, whi

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Pârvu, Iuliana Maria, F. Remondino, and E. Ozdemir. "LOD2 Building Generation Experiences and Comparisons." Journal of Applied Engineering Sciences 8, no. 2 (2018): 59–64. http://dx.doi.org/10.2478/jaes-2018-0019.

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Abstract The VOLTA project is a RISE Marie-Curie action designed to realize Research & Innovation (R&I) among intersectoral partners to exchange knowledge, methods and workflows in the geospatial field. To accomplish its objectives, the main R&I activities of VOLTA are divided in four interlinked Work Packages with two transversal ones responsible for knowledge transfer & training as well as dissemination of the project results. The research activities and knowledge transfer are performed with a series of secondments between partners. The consortium is composed of 13 partners f

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Asghari, Ali, Mohsen Kalantari, and Abbas Rajabifard. "Formative and Summative Validation of Building Information Model-Based Cadastral Data." Land 10, no. 8 (2021): 822. http://dx.doi.org/10.3390/land10080822.

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Among 3D models, Building Information Models (BIM) can potentially support the integrated management of buildings’ physical and legal aspects in cadastres. However, there is not a systematic approach to author the cadastral information into the BIM models. Moreover, the common approaches for data validation only check the final cadastral output, and they ignore the data generation steps as potential avenues for validation. Therefore, this study aims to develop the criteria and standards to check the spatial consistency and integrity of BIM-based cadastral data in the process of generating the

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Bulgakov, Alexey, Alexey Evgenov, and Cornell Weller. "Automation of 3D Building Model Generation Using Quadrotor." Procedia Engineering 123 (2015): 101–9. http://dx.doi.org/10.1016/j.proeng.2015.10.065.

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Gruen, A., S. Schubiger, R. Qin, et al. "SEMANTICALLY ENRICHED HIGH RESOLUTION LOD 3 BUILDING MODEL GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W15 (September 23, 2019): 11–18. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w15-11-2019.

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<p><strong>Abstract.</strong> This paper reports about an effort to generate LoD3 models of buildings semi-automatically, with the highest possible level of automation. It is work in progress. We use multi-sensor data like aerial images from a 5-head camera with a GSD of 10&amp;thinsp;cm, UAV images, and aerial and mobile LiDAR point clouds. We distinguish two cases: LoD2 models are available and they are not. We apply Multi-Photo Geometrically Constrained Least Squares Matching for different kind of point measurements. The regularity of many building fa&amp;ccedil;ad

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Nys, Gilles-Antoine, Florent Poux, and Roland Billen. "CityJSON Building Generation from Airborne LiDAR 3D Point Clouds." ISPRS International Journal of Geo-Information 9, no. 9 (2020): 521. http://dx.doi.org/10.3390/ijgi9090521.

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The relevant insights provided by 3D City models greatly improve Smart Cities and their management policies. In the urban built environment, buildings frequently represent the most studied and modeled features. CityJSON format proposes a lightweight and developer-friendly alternative to CityGML. This paper proposes an improvement to the usability of 3D models providing an automatic generation method in CityJSON, to ensure compactness, expressivity, and interoperability. In addition to a compliance rate in excess of 92% for geometry and topology, the generated model allows the handling of conte

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Zhu, Guangya, Tin-Tai Chow, and Norman Tse. "Short-term load forecasting coupled with weather profile generation methodology." Building Services Engineering Research and Technology 39, no. 3 (2017): 310–27. http://dx.doi.org/10.1177/0143624417740858.

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Short-term building load forecasting is indispensable in daily operation of future intelligent/green buildings, particularly in formulating system control strategies and assessing the associated environmental impacts. Most previous research works have been focused on studying the advancement in forecasting techniques, but not as much on evaluating the availability of influential factors like the predicted weather profile in the coming hours. This article proposes an improved procedure to predict the building load 24 hours ahead, together with a backup weather profile generating method. The qua

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Viglione, Alberto, Magdalena Rogger, Herbert Pirkl, Juraj Parajka, and Günter Blöschl. "Conceptual model building inspired by field-mapped runoff generation mechanisms." Journal of Hydrology and Hydromechanics 66, no. 3 (2018): 303–15. http://dx.doi.org/10.2478/johh-2018-0010.

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Abstract Since the beginning of hydrological research hydrologists have developed models that reflect their perception about how the catchments work and make use of the available information in the most efficient way. In this paper we develop hydrologic models based on field-mapped runoff generation mechanisms as identified by a geologist. For four different catchments in Austria, we identify four different lumped model structures and constrain their parameters based on the field-mapped information. In order to understand the usefulness of geologic information, we test their capability to pred

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Allen, James, Ari Halberstadt, John Powers, and Nael H. El-Farra. "An Optimization-Based Supervisory Control and Coordination Approach for Solar-Load Balancing in Building Energy Management." Mathematics 8, no. 8 (2020): 1215. http://dx.doi.org/10.3390/math8081215.

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This work considers the problem of reducing the cost of electricity to a grid-connected commercial building that integrates on-site solar energy generation, while at the same time reducing the impact of the building loads on the grid. This is achieved through local management of the building’s energy generation-load balance in an effort to increase the feasibility of wide-scale deployment and integration of solar power generation into commercial buildings. To realize this goal, a simulated building model that accounts for on-site solar energy generation, battery storage, electrical vehicle (EV

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Li, Xiao Yong, and Zhi Gang Zhang. "Generation of the 3D CAD Model of Construction Building." Advanced Materials Research 346 (September 2011): 83–89. http://dx.doi.org/10.4028/www.scientific.net/amr.346.83.

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Project teams face ever increasing pressure to deliver projects as quickly as possible. To meet these demands, contractors are faced with the need to explore various construction strategies in order to meet delivery dates, and to assure themselves as to the achievability and quality of construction building. Various visual representations of construction building, i.e. 3D CAD, can assist with these tasks of identifying effective construction program. Such visual representations aid communication amongst project staff and facilitate brain-storming, and, implemented well they can provide clear,

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Han, Ji-Ho, Dong-Chul Park, Dong-Min Woo, Tai-Kyeong Jeong, Yun-Sik Lee, and Soo-Young Min. "Hierarchical Grouping of Line Segments for Building Model Generation." Journal of IKEEE 16, no. 2 (2012): 95–101. http://dx.doi.org/10.7471/ikeee.2012.16.2.095.

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Nagalli, André, and Karina Querne de Carvalho. "Model for estimating construction waste generation in masonry building." Proceedings of the Institution of Civil Engineers - Waste and Resource Management 172, no. 1 (2019): 28–36. http://dx.doi.org/10.1680/jwarm.18.00016.

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SUGIHARA, Kenichi, and Yoshitugu HAYASHI. "GIS-based automatic generation of 3-D building model from building polygons filtered." Theory and Applications of GIS 12, no. 2 (2004): 187–95. http://dx.doi.org/10.5638/thagis.12.187.

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Jeon, Byung-Ki, and Eui-Jong Kim. "LSTM-Based Model Predictive Control for Optimal Temperature Set-Point Planning." Sustainability 13, no. 2 (2021): 894. http://dx.doi.org/10.3390/su13020894.

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The growing interest in saving building energy has increasingly motivated studies on model predictive control (MPC), where system operation proceeds according to a planned operation strategy. Data-driven models that perform learning using past operation data of buildings are favorable for MPC applications owing to their fast computation speed. However, it is difficult to apply MPC to buildings with insufficient operation data, as the prediction accuracy varies depending on the data used for learning. To address this, we propose a method that involves generating data through a detailed building

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Vacca, G., G. Furfaro, and A. Dessì. "THE USE OF THE UAV IMAGES FOR THE BUILDING 3D MODEL GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8 (July 11, 2018): 217–23. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w8-217-2018.

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<p><strong>Abstract.</strong> The growing interest in recent years in Unmanned Aerial Vehicles (UAVs) by the scientific community, software developers, and geomatics professionals, has led these systems to be used more and more widely, in different fields of engineering and architecture. This is thanks, above all, to their flexibility of use and low cost compared to traditional photogrammetric flights using expensive metric digital cameras or LiDAR sensors. In recent years, UAVs have also been used in the field of monitoring and inspection of public or private buildings that

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Apte, Uday M., and Mark M. Davis. "Sharing Economy Services: Business Model Generation." California Management Review 61, no. 2 (2019): 104–31. http://dx.doi.org/10.1177/0008125619826025.

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The emerging growth of the sharing economy demonstrates the need to understand the factors driving this growth and the business models and practices of sharing economy service (SES) companies. Using case vignettes as the research method, this article analyzes the operations of a large number of these companies and presents a set of building blocks that are useful for generating the business models of SES companies. An examination of the successes and failures in the practices of SES companies provides a number of managerial recommendations.

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Li, Shutao, Jorg Isele, and Georg Bretthauer. "Proposed methodology for generation of building information model with laserscanning." Tsinghua Science and Technology 13, S1 (2008): 138–44. http://dx.doi.org/10.1016/s1007-0214(08)70140-8.

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Choi, Seung-Joon, Ki-Yong Cho, and Ki-Youn Kwon. "Development of 3D Geological Model Generation System for Building Foundation." Korean Journal of Computational Design and Engineering 22, no. 4 (2017): 455–62. http://dx.doi.org/10.7315/cde.2017.455.

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Aglan, Heshmat A. "Predictive model for CO2 generation and decay in building envelopes." Journal of Applied Physics 93, no. 2 (2003): 1287–90. http://dx.doi.org/10.1063/1.1529992.

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Ploennigs, Joern, Mario Neugebauer, and Klaus Kabitzsch. "Automated model generation for performance engineering of building automation networks." International Journal on Software Tools for Technology Transfer 8, no. 6 (2006): 607–20. http://dx.doi.org/10.1007/s10009-006-0016-8.

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21

Cho, In Ho, and Keith Porter. "Modeling Building Classes Using Moment Matching." Earthquake Spectra 32, no. 1 (2016): 285–301. http://dx.doi.org/10.1193/071712eqs239m.

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Large-scale earthquake risk assessment necessitates models of the seismic performance of building classes. This work addresses how to depict a class with only a few (index) buildings whose designs span the attributes that most impact the seismic behavior of the class. We propose a general numerical moment matching (MM) technique to represent those seismic attributes of index buildings, which can then be individually analyzed by second-generation performance-based earthquake engineering methods (PBEE-2). The results probabilistically combined to model the class behavior as a whole. Thereby, the

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Bianco, Giovanni, Stefano Bracco, Federico Delfino, Lorenzo Gambelli, Michela Robba, and Mansueto Rossi. "A Building Energy Management System Based on an Equivalent Electric Circuit Model." Energies 13, no. 7 (2020): 1689. http://dx.doi.org/10.3390/en13071689.

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In recent decades, many EU and national regulations have been issued in order to increase the energy efficiency in different sectors and, consequently, to reduce environmental pollution. In the building sector, energy efficiency interventions are usually based on the use of innovative insulated materials and on the installation of cogeneration and tri-generation units, as well as solar technologies. New and retrofitted buildings are more and more commonly being called “smart buildings”, since they are characterized by the installation of electric and thermal power generation units, energy stor

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Kim, Janghyun, Stephen Frank, James E. Braun, and David Goldwasser. "Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development." Buildings 9, no. 11 (2019): 233. http://dx.doi.org/10.3390/buildings9110233.

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Small commercial buildings (those with less than approximately 1000 m2 of total floor area) often do not have access to cost-effective automated fault detection and diagnosis (AFDD) tools for maintaining efficient building operations. AFDD tools based on machine-learning algorithms hold promise for lowering cost barriers for AFDD in small commercial buildings; however, such algorithms require access to high-quality training data that is often difficult to obtain. To fill the gap in this research area, this study covers the development (Part I) and validation (Part II) of fault models that can

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Chhatkuli, S., T. Satoh, and K. Tachibana. "MULTI SENSOR DATA INTEGRATION FOR AN ACCURATE 3D MODEL GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (May 11, 2015): 103–6. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-103-2015.

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The aim of this paper is to introduce a novel technique of data integration between two different data sets, i.e. laser scanned RGB point cloud and oblique imageries derived 3D model, to create a 3D model with more details and better accuracy. In general, aerial imageries are used to create a 3D city model. Aerial imageries produce an overall decent 3D city models and generally suit to generate 3D model of building roof and some non-complex terrain. However, the automatically generated 3D model, from aerial imageries, generally suffers from the lack of accuracy in deriving the 3D model of road

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Gankhuyag, Uuganbayar, and Ji-Hyeong Han. "Automatic 2D Floorplan CAD Generation from 3D Point Clouds." Applied Sciences 10, no. 8 (2020): 2817. http://dx.doi.org/10.3390/app10082817.

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In the architecture, engineering, and construction (AEC) industry, creating an indoor model of existing buildings has been a challenging task since the introduction of building information modeling (BIM). Because the process of BIM is primarily manual and implies a high possibility of error, the automated creation of indoor models remains an ongoing research. In this paper, we propose a fully automated method to generate 2D floorplan computer-aided designs (CADs) from 3D point clouds. The proposed method consists of two main parts. The first is to detect planes in buildings, such as walls, flo

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Barabash, Мaria S., and Maryna A. Romashkina. "LIRA-SAPR PROGRAM FOR GENERATING DESIGN MODELS OF RECONSTRUCTED BUILDINGS." International Journal for Computational Civil and Structural Engineering 14, no. 4 (2018): 70–80. http://dx.doi.org/10.22337/2587-9618-2018-14-4-70-80.

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The paper deals with technique of simulation for buildings at maintenance stage with account of changes in structural model during reconstruction. The authours suggest algorithm for linear and nonlinear analysis of structures in LIRA-SAPR program with account of erection process. Generation of design models for reconstructed buildings are illustrated with real examples from design practice (reconstruction of 3-storey office building with overstorey; reconstruction of 5-storey hostel with built-in nonresidential premises when floor slabs are changed; reconstruction of building with account of d

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Chaidas, K., G. Tataris, and N. Soulakellis. "POST-EARTHQUAKE 3D BUILDING MODEL (LOD2) GENERATION FROM UAS IMAGERY: THE CASE OF VRISA TRADITIONAL SETTLEMENT, LESVOS, GREECE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W3-2020 (November 23, 2020): 165–72. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w3-2020-165-2020.

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Abstract. In recent years 3D building modelling techniques are commonly used in various domains such as navigation, urban planning and disaster management, mostly confined to visualization purposes. The 3D building models are produced at various Levels of Detail (LOD) in the CityGML standard, that not only visualize complex urban environment but also allows queries and analysis. The aim of this paper is to present the methodology and the results of the comparison among two scenarios of LOD2 building models, which have been generated by the derivate UAS data acquired from two flight campaigns i

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Lundström, Lukas, Jan Akander, and Jesús Zambrano. "Development of a Space Heating Model Suitable for the Automated Model Generation of Existing Multifamily Buildings—A Case Study in Nordic Climate." Energies 12, no. 3 (2019): 485. http://dx.doi.org/10.3390/en12030485.

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Building energy performance modeling is essential for energy planning, management, and efficiency. This paper presents a space heating model suitable for auto-generating baseline models of existing multifamily buildings. Required data and parameter input are kept within such a level of detail that baseline models can be auto-generated from, and calibrated by, publicly accessible data sources. The proposed modeling framework consists of a thermal network, a typical hydronic radiator heating system, a simulation procedure, and data handling procedures. The thermal network is a lumped and simplif

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Yang, Fangshu, and Jianwei Ma. "Deep-learning inversion: A next-generation seismic velocity model building method." GEOPHYSICS 84, no. 4 (2019): R583—R599. http://dx.doi.org/10.1190/geo2018-0249.1.

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Seismic velocity is one of the most important parameters used in seismic exploration. Accurate velocity models are the key prerequisites for reverse time migration and other high-resolution seismic imaging techniques. Such velocity information has traditionally been derived by tomography or full-waveform inversion (FWI), which are time consuming and computationally expensive, and they rely heavily on human interaction and quality control. We have investigated a novel method based on the supervised deep fully convolutional neural network for velocity-model building directly from raw seismograms

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Yumoto, Masaki, Takahiro Yamasaki, Takenao Ohkawa, Norihisa Komoda, and Fusachika Miyasaka. "Stochastic Qualitative Model Generation for Diagnosis for Building Air Conditioning Systems." IEEJ Transactions on Electronics, Information and Systems 118, no. 3 (1998): 434–41. http://dx.doi.org/10.1541/ieejeiss1987.118.3_434.

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Wang, F., K. M. Lam, G. B. Zu, and L. Cheng. "Coherent structures and wind force generation of square-section building model." Journal of Wind Engineering and Industrial Aerodynamics 188 (May 2019): 175–93. http://dx.doi.org/10.1016/j.jweia.2019.02.019.

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Hu, L. J., and D. C. Flanagan. "Towards new-generation soil erosion modeling: Building a unified omnivorous model." Journal of Soil and Water Conservation 68, no. 4 (2013): 100A—103A. http://dx.doi.org/10.2489/jswc.68.4.100a.

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Buckley, Niall, Gerald Mills, Samuel Letellier-Duchesne, and Khadija Benis. "Designing an Energy-Resilient Neighbourhood Using an Urban Building Energy Model." Energies 14, no. 15 (2021): 4445. http://dx.doi.org/10.3390/en14154445.

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A climate resilient city, perforce, has an efficient and robust energy infrastructure that can harvest local energy resources and match energy sources and sinks that vary over space and time. This paper explores the use of an urban building energy model (UBEM) to examine the potential for creating a near-zero carbon neighbourhood in Dublin (Ireland) that is characterised by diverse land-uses and old and new building stock. UBEMs are a relatively new tool that allows the simulation of building energy demand across an urbanised landscape and can account for building layout, including the effects

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González, Vicente Gutiérrez, Lissette Álvarez Colmenares, Jesús Fernando López Fidalgo, Germán Ramos Ruiz, and Carlos Fernández Bandera. "Uncertainy’s Indices Assessment for Calibrated Energy Models." Energies 12, no. 11 (2019): 2096. http://dx.doi.org/10.3390/en12112096.

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Building Energy Models (BEMs) are a key element of the Energy Performance of Buildings Directive (EPBD), and they are at the basis of Energy Performance Certificates (EPCs). The main goal of BEMs is to provide information for building stakeholders; they can be a powerful market tool to increase demand for energy efficiency solutions in buildings without affecting the comfort of users, as well as providing other benefits. The next generation of BEMs should value buildings in a holistic and cost-effective manner across several complementary dimensions: envelope performances, system performances,

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Bittner, Ksenia, Pablo d’Angelo, Marco Körner, and Peter Reinartz. "DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement." Remote Sensing 10, no. 12 (2018): 1926. http://dx.doi.org/10.3390/rs10121926.

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A digital surface model (DSM) provides the geometry and structure of an urban environment with buildings being the most prominent objects in it. Built-up areas change with time due to the rapid expansion of cities. New buildings are being built, existing ones are expanded, and old buildings are torn down. As a result, 3D surface models can increase the understanding and explanation of complex urban scenarios. They are very useful in numerous fields of remote sensing applications, in tasks related to 3D reconstruction and city modeling, planning, visualization, disaster management, navigation,

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Vaisi, Salah, Saleh Mohammadi, Benedetto Nastasi, and Kavan Javanroodi. "A New Generation of Thermal Energy Benchmarks for University Buildings." Energies 13, no. 24 (2020): 6606. http://dx.doi.org/10.3390/en13246606.

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In 2008, the Chartered Institution of Building Services Engineers (CIBSE TM46 UC) presented an annual-fixed thermal energy benchmark of 240 kWh/m2/yr for university campus (UC) buildings as an attempt to reduce energy consumption in public buildings. However, the CIBSE TM46 UC benchmark fails to consider the difference between energy demand in warm and cold months, as the thermal performance of buildings largely depends on the ambient temperature. This paper presents a new generation of monthly thermal energy benchmarks (MTEBs) using two computational methods including mixed-use model and conv

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Widyaningrum, E., R. C. Lindenbergh, B. G. H. Gorte, and K. Zhou. "EXTRACTION OF BUILDING ROOF EDGES FROM LIDAR DATA TO OPTIMIZE THE DIGITAL SURFACE MODEL FOR TRUE ORTHOPHOTO GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 1199–205. http://dx.doi.org/10.5194/isprs-archives-xlii-2-1199-2018.

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Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data. In urban scenes, DSM data may fail to deliver sharp and straight building roof edges. This will affect the quality of the resulting orthophotos. Therefore, it is necessary to incorporate good quality building outlines as breaklines during DSM interpolation. This study proposes a data-driven approach to construct build

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Sahu, M., and A. Ohri. "VECTOR MAP GENERATION FROM AERIAL IMAGERY USING DEEP LEARNING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 157–62. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-157-2019.

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<p><strong>Abstract.</strong> We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image. The result obtained is fed into proposed post-processing pipeline for separating connected binary blobs of buildings and converting it into GIS layer for further analysis as well as for generating 3D b

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Luo, Heng, Biao He, Renzhong Guo, et al. "Urban Building Extraction and Modeling Using GF-7 DLC and MUX Images." Remote Sensing 13, no. 17 (2021): 3414. http://dx.doi.org/10.3390/rs13173414.

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Urban modeling and visualization are highly useful in the development of smart cities. Buildings are the most prominent features in the urban environment, and are necessary for urban decision support; thus, buildings should be modeled effectively and efficiently in three dimensions (3D). In this study, with the help of Gaofen-7 (GF-7) high-resolution stereo mapping satellite double-line camera (DLC) images and multispectral (MUX) images, the boundary of a building is segmented via a multilevel features fusion network (MFFN). A digital surface model (DSM) is generated to obtain the elevation of

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Nguatem, W., M. Drauschke, and H. Mayer. "AUTOMATIC GENERATION OF BUILDING MODELS WITH LEVELS OF DETAIL 1-3." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 649–54. http://dx.doi.org/10.5194/isprsarchives-xli-b3-649-2016.

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We present a workflow for the automatic generation of building models with levels of detail (LOD) 1 to 3 according to the CityGML standard (Gröger et al., 2012). We start with orienting unsorted image sets employing (Mayer et al., 2012), we compute depth maps using semi-global matching (SGM) (Hirschmüller, 2008), and fuse these depth maps to reconstruct dense 3D point clouds (Kuhn et al., 2014). Based on planes segmented from these point clouds, we have developed a stochastic method for roof model selection (Nguatem et al., 2013) and window model selection (Nguatem et al., 2014). We demonstrat

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Nguatem, W., M. Drauschke, and H. Mayer. "AUTOMATIC GENERATION OF BUILDING MODELS WITH LEVELS OF DETAIL 1-3." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 649–54. http://dx.doi.org/10.5194/isprs-archives-xli-b3-649-2016.

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We present a workflow for the automatic generation of building models with levels of detail (LOD) 1 to 3 according to the CityGML standard (Gröger et al., 2012). We start with orienting unsorted image sets employing (Mayer et al., 2012), we compute depth maps using semi-global matching (SGM) (Hirschmüller, 2008), and fuse these depth maps to reconstruct dense 3D point clouds (Kuhn et al., 2014). Based on planes segmented from these point clouds, we have developed a stochastic method for roof model selection (Nguatem et al., 2013) and window model selection (Nguatem et al., 2014). We demonstrat

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Xie, Pin Jie, Jian Chao Hou, and Quan Sheng Shi. "Novel Bidding Decision Model for Generation Company Based on CVaR Model." Advanced Materials Research 732-733 (August 2013): 1438–43. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1438.

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It is an urgent problem to solve for generation companies that how to find the optimal bidding strategy to obtain the highest profits and to decrease the risk to the lowest level. This paper presented a new bidding decision model with risk management for generation companies based on the conditional value at risk (CVaR). In the process of building the optimal bidding decision models, three situations are considered separately, including only consider maximize the expected return or the CVaR value of benefit, and considering the benefit and risk (CVaR). By this method, the generation companies

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43

Sun, Y., M. Shahzad, and X. Zhu. "FIRST PRISMATIC BUILDING MODEL RECONSTRUCTION FROM TOMOSAR POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 381–86. http://dx.doi.org/10.5194/isprsarchives-xli-b3-381-2016.

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This paper demonstrates for the first time the potential of explicitly modelling the individual roof surfaces to reconstruct 3-D prismatic building models using spaceborne tomographic synthetic aperture radar (TomoSAR) point clouds. The proposed approach is modular and works as follows: it first extracts the buildings via DSM generation and cutting-off the ground terrain. The DSM is smoothed using BM3D denoising method proposed in (Dabov et al., 2007) and a gradient map of the smoothed DSM is generated based on height jumps. Watershed segmentation is then adopted to oversegment the DSM into di

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Sun, Y., M. Shahzad, and X. Zhu. "FIRST PRISMATIC BUILDING MODEL RECONSTRUCTION FROM TOMOSAR POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 381–86. http://dx.doi.org/10.5194/isprs-archives-xli-b3-381-2016.

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This paper demonstrates for the first time the potential of explicitly modelling the individual roof surfaces to reconstruct 3-D prismatic building models using spaceborne tomographic synthetic aperture radar (TomoSAR) point clouds. The proposed approach is modular and works as follows: it first extracts the buildings via DSM generation and cutting-off the ground terrain. The DSM is smoothed using BM3D denoising method proposed in (Dabov et al., 2007) and a gradient map of the smoothed DSM is generated based on height jumps. Watershed segmentation is then adopted to oversegment the DSM into di

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Mohd Nasir, N. H., and K. N. Tahar. "3D MODEL GENERATION FROM UAV: HISTORICAL MOSQUE (MASJID LAMA NILAI)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 24, 2017): 251–55. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-251-2017.

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Preserving cultural heritage and historic sites is an important issue. These sites are subjected to erosion and vandalism, and, as long-lived artifacts, they have gone through many phases of construction, damage and repair. It is important to keep an accurate record of these sites using the 3-D model building technology as they currently are, so that preservationists can track changes, foresee structural problems, and allow a wider audience to “virtually” see and tour these sites. Due to the complexity of these sites, building 3-D models is time consuming and difficult, usually involving much

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Boyer, H., A. P. Lauret, L. Adelard, and T. A. Mara. "Building ventilation: a pressure airflow model computer generation and elements of validation." Energy and Buildings 29, no. 3 (1999): 283–92. http://dx.doi.org/10.1016/s0378-7788(98)00068-1.

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Micic, Aca, and Biljana Djordjevic. "Building 3D model of the mobile object using image pair." Facta universitatis - series: Electronics and Energetics 23, no. 2 (2010): 245–55. http://dx.doi.org/10.2298/fuee1002245m.

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This paper deals with building 3D model of a mobile object based on one or more images obtaining from single CCD camera with fixed position. Some existing methods of analysis and measurements are applied and combined to obtain system for automatic generation of a 3D wired model suitable for application in adequate software packages.

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Fell, David A., Mark G. Poolman, and Albert Gevorgyan. "Building and analysing genome-scale metabolic models." Biochemical Society Transactions 38, no. 5 (2010): 1197–201. http://dx.doi.org/10.1042/bst0381197.

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Reconstructing a model of the metabolic network of an organism from its annotated genome sequence would seem, at first sight, to be one of the most straightforward tasks in functional genomics, even if the various data sources required were never designed with this application in mind. The number of genome-scale metabolic models is, however, lagging far behind the number of sequenced genomes and is likely to continue to do so unless the model-building process can be accelerated. Two aspects that could usefully be improved are the ability to find the sources of error in a nascent model rapidly,

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Du, Qiang, Huan Fang Zhang, Nan Liu, and Xu Sheng Yin. "Comprehensive Life-Cycle Assessment of SIP Building." Applied Mechanics and Materials 353-356 (August 2013): 2808–12. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2808.

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Structural Insulated Panels (SIPs) are high performance load-bearing panels, which are considered to be the next generation construction material. Based on the results of the previous studies on SIP building, combined with the theory of life-cycle assessment, this paper constructs a dual-index evaluation model of economical efficiency and carbon emission in life cycle. By adopting the data of previous research, comparisons were conducted between SIP building and traditional masonry-concrete house, which suggests significant advantages of SIP building. The results implicate that SIPs would have

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Girindran, Renoy, Doreen S. Boyd, Julian Rosser, Dhanya Vijayan, Gavin Long, and Darren Robinson. "On the Reliable Generation of 3D City Models from Open Data." Urban Science 4, no. 4 (2020): 47. http://dx.doi.org/10.3390/urbansci4040047.

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A 3D model communicates more effectively than a 2D model, hence the applications of 3D city models are rapidly gaining significance in urban studies. However, presently, there is a dearth of free of cost, high-resolution 3D city models available for use. This paper offers potential solutions to this problem by providing a globally replicable methodology to generate low-cost 3D city models from open source 2D building data in conjunction with open satellite-based elevation datasets. Two geographically and morphologically different case studies were used to develop and test this methodology: the

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