As-built building information modeling (BIM) currently is regarded as a tool with the potential to manage buildings efficiently in the operation and maintenance phases. However, as-built BIM modeling is a labor-intens...
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As-built building information modeling (BIM) currently is regarded as a tool with the potential to manage buildings efficiently in the operation and maintenance phases. However, as-built BIM modeling is a labor-intensive process that requires considerable cost and time in modeling existing buildings. Although active research on scan-to-BIM automation has addressed this issue, previous studies modeled only major objects such as walls, floors, and ceilings, consequently requiring modeling other objects in indoor spaces. In addition, there was a limitation in modeling objects located in the occluded areas of scanned point clouds. Therefore, this study extracted various indoor objects from a point cloud based on deep-learning, and compensated for incomplete object information from occluded point clouds for automating the process of scan-to-BIM. The number of object classes extracted from the semantic segmentation of a deep learning network was increased to 13, and spatial relationships between objects were defined to improve the accuracy of bounding boxes extracted from point clouds. Furthermore, a parametric algorithm was developed to match the bounding boxes and objects in a BIM library to generate BIM models automatically. In a case study involving an office room, the accuracy of the bounding boxes of some object classes improved by as much as 53.33%. The study verified the feasibility of the proposed method of scan-to-BIM automation for the three-dimensional (3D) reality capture of existing buildings.
Quantitative analysis of fibre orientation in a random fibrous network (RFN) is important to understand their microstructure, properties and performance. 2D fibre orientation distribution presents an in-plane fibre or...
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Quantitative analysis of fibre orientation in a random fibrous network (RFN) is important to understand their microstructure, properties and performance. 2D fibre orientation distribution presents an in-plane fibre orientation without any information on fibre orientation in thickness direction. This research introduces a fully parametric algorithm for computing 3D fibre orientation as thickness is important for high-density or thick fibrous networks. The algorithm is tested for 3 major classes of nonwoven fabrics called low- (L), medium- (M) and high-density (H) ones. H fabric density is 6-8 times larger than the L fabric density. M fabric density (traditional intermediate fabric density) is 3-4 times larger than the L fabric density. Voxel models of experimental nonwoven webs were generated by an X-ray micro-CT (mu CT) system and evaluated with the algorithm. Statistical results showed that a fraction of fibres orientated along the thickness direction increases as fibre density grows. To validate the accuracy of findings, deterministic voxelated virtual fibrous structures, created using mathematical functions were used. This novel algorithm is able to produce a 3D orientation distribution function (ODF) for any RFN including, models of nonwovens produced with various manufacturing parameters, experimentally verified and validated with X-ray mu CT. Also, it can compute 2D ODFs of various types of RFNs to evaluate 2D behaviour of fibrous structures. The obtained results are useful for applications in many fields including finite element analysis, computational fluid dynamics, additive manufacturing, etc.
In addition to the thermal comfort, the quality of daylight in the buildings are of exceptional importance in the early stages of the project. The building envelope therefore plays an important mediator, whether as cl...
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In addition to the thermal comfort, the quality of daylight in the buildings are of exceptional importance in the early stages of the project. The building envelope therefore plays an important mediator, whether as climate change perceived or as cultural patrimony intangible, between the building and its surrounding conditions. Nowadays, the countries of the hot desert are introducing policy based on completely glazed constructions with neglecting their climate change as applied for the United Arab Emirates (UAE). This results in poor building efficiency and identity crises. Therefore, any attempt seeks to decrease excess sun exposure and make efficient sunlight availability. This leads to climate change adaptation and the happiness of the inhabitants as a sustainable development technique, decreasing buildings ’ energy consumption, which is an effective way to eliminate emissions of carbon dioxide (CO 2 ). In this context, this paper presents the assessment principles for daylight performance in the case-study. This lays out approaches for optimizing daylight and energy efficiency in hot-arid climates by comparing different scenarios for building with international style at Ajman University – UAE, in order to reach to the best solution, that through the best use of performance simulation analysis and parametric generic algorithm software (Revit - Insight 360 plugin). Three phases of the methodology are taken: (1) the daylight and energy efficiency are analyzed for the case-study, (2) the results are assessed and compared to the hot-arid climate, (3) the optimum solutions and recommendations are determined. The study provides a new building performance optimization method, which can enable architects to predict the optimal energy performance and daylight strategies by creating suitable climatic design options and to recognize the connection between design demands and daylight efficiency metrics, which are estimated to improve the entire environment.
This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and su...
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This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and suppliers causes disagreements because it involves multiple vague factors that are difficult to quantify. This paper aims to develop the AITOD-Intelligent Decision-making Support system, based on Paraconsistent Annotated Evidential Logic Et. This system aims to contribute to the decision-making process of managers. Such methodology has as a precept the materialization of artefacts derived from concepts. The AITOD product has achieved significant improvements in the process of mitigating project recounts. Through the AITOD system, it was verified that 46 projects would result in approval of 28.57% of the projects, 50 projects would result in approval of 64.10% of the projects. With these results, companies would avoid unnecessary expenses and rework. In the scope of the innovative project, the results achieved on the reduction of values spent on project recounting stands out, being proved the viability of the AITOD product. (C) 2019 The Authors. Published by Elsevier Ltd.
This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and su...
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This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and suppliers causes disagreements because it involves multiple vague factors that are difficult to quantify. This paper aims to develop the AITOD- Intelligent Decision-making Support system, based on Paraconsistent Annotated Evidential Logic Eτ. This system aims to contribute to the decision-making process of managers. Such methodology has as a precept the materialization of artefacts derived from concepts. The AITOD product has achieved significant improvements in the process of mitigating project recounts. Through the AITOD system, it was verified that 46 projects would result in approval of 28.57% of the projects, 50 projects would result in approval of 64.10% of the projects. With these results, companies would avoid unnecessary expenses and rework. In the scope of the innovative project, the results achieved on the reduction of values spent on project recounting stands out, being proved the viability of the AITOD product.
Reaching satisfactory daylighting levels is an obligatory assignment in arid regions, which are normally described by year-long clear skies. Sun-breakers are normally utilized to control sun powered infiltration, acco...
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Reaching satisfactory daylighting levels is an obligatory assignment in arid regions, which are normally described by year-long clear skies. Sun-breakers are normally utilized to control sun powered infiltration, accordingly enhancing illuminance circulation and diminishing visual uneasiness. This paper goes for characterizing the principle attributes of the slats that could be utilized to control solar access into office rooms of administrative building under clear-sky conditions. The study tended to office room plans with WWR 100% confronting south in Cairo, Egypt. The attention was on the effect of the slat position (whether indoor or outdoor) after research for the optimum inclination angle for each season of the year. The major objective was to guarantee sufficient Daylighting performance. parametric recreation runs were performed utilizing Grasshopper, DIVA 4-for-Rhino. The results of this work distinguished the scope of slats as sun-breaker and their relation to enhance daylighting performance for the deep-office space. (C) 2018 The Authors. Published by Elsevier Ltd.
Reaching satisfactory daylighting levels is an obligatory assignment in arid regions, which are normally described by year-long clear skies. Sun-breakers are normally utilized to control sun powered infiltration, acco...
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Reaching satisfactory daylighting levels is an obligatory assignment in arid regions, which are normally described by year-long clear skies. Sun-breakers are normally utilized to control sun powered infiltration, accordingly enhancing illuminance circulation and diminishing visual uneasiness. This paper goes for characterizing the principle attributes of the slats that could be utilized to control solar access into office rooms of administrative building under clear-sky conditions. The study tended to office room plans with WWR 100% confronting south in Cairo, Egypt. The attention was on the effect of the slat position (whether indoor or outdoor) after research for the optimum inclination angle for each season of the year. The major objective was to guarantee sufficient Daylighting performance. parametric recreation runs were performed utilizing Grasshopper, DIVA 4-for-Rhino. The results of this work distinguished the scope of slats as sun-breaker and their relation to enhance daylighting performance for the deep-office space.
The multiobjective shortest path problem arises in many transportation and logistics applications, either as a stand-alone network routing problem or a subroutine of a more complex multiobjective network optimization ...
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The multiobjective shortest path problem arises in many transportation and logistics applications, either as a stand-alone network routing problem or a subroutine of a more complex multiobjective network optimization problem. It has been addressed by different solution strategies, including labeling methods, ranking methods, constraint methods, and parametric methods. Increasing attention has been paid to parametric methods in recent years, partially because of its simple algorithmic logic and its flexibility of being used in different user-preference decision-making environments. The core idea of a parametric algorithm is scalarization, by which a multiobjective shortest path problem can be tackled by repeatedly solving a single-objective subproblem. However, existing parametric algorithms suffer two notorious deficiencies, which considerably limit its further applications: first, typical subroutines for the single-objective subproblem in general cannot capture nonextreme Pareto-optimal paths;second, parametric algorithms for biobjective problems cannot be directly extended to solving multiobjective problems. This paper provides some algorithmic improvements that can partially overcome these deficiencies. In particular, the contribution of this work is twofold: first, in the biobjective parametric solution framework, we propose an approximate label-setting algorithm for the parameterized, constrained single-objective subproblem, which is capable of identifying all extreme paths and a large percentage (i.e., 85-100%) of nonextreme paths;second, we suggest a general projection scheme that can decompose a multiobjective problem into a number of biobjective problems. The approximate parametric algorithm runs in polynomial time. The algorithmic design and solution performance of the algorithm for multiobjective shortest path problems are illustrated, and numerically evaluated and compared with a benchmark algorithm in terms of solution completeness and efficiency. (C) 2
We consider the following problem: given an undirected weighted graph G=(V,E,c) with nonnegative weights, minimize function c(delta(I ))-lambda|I | for all values of parameter lambda. Here I is a partition of the set ...
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We consider the following problem: given an undirected weighted graph G=(V,E,c) with nonnegative weights, minimize function c(delta(I ))-lambda|I | for all values of parameter lambda. Here I is a partition of the set of nodes, the first term is the cost of edges whose endpoints belong to different components of the partition, and |I | is the number of components. The current best known algorithm for this problem has complexity O(|V|(2)) maximum flow computations. We improve it to |V| parametric maximum flow computations. We observe that the complexity can be improved further for families of graphs which admit a good separator, e.g. for planar graphs.
Suppose we are given a capacitated bipartite network G with node sets S and T. In network G, the arc capacities are not fixed values but are functions of a single parameter lambda, where lambda is a continuous real va...
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Suppose we are given a capacitated bipartite network G with node sets S and T. In network G, the arc capacities are not fixed values but are functions of a single parameter lambda, where lambda is a continuous real variable. Our problem is to determine the minimum value of lambda such that the maximum flow value in the corresponding network equals a given threshold. For this problem, an algorithm of time complexity O(nm(2) log(m/n)) is presented, where n is the number of nodes in S, m is the number of nodes in T and n less than or equal to m. Examples are then given to show how to use this parametric algorithm to solve practical problems.
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