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Journal articles on the topic 'Floor plans'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Shekhawat, Krishnendra, and José P. Duarte. "Introduction to generic rectangular floor plans." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 3 (May 30, 2018): 331–50. http://dx.doi.org/10.1017/s0890060417000671.

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AbstractAn important task in the initial stages of most architectural design processes is the design of planar floor plans, that are composed of non-overlapping rooms divided from each other by walls while satisfying given topological and dimensional constraints. The work described in this paper is part of a larger research aimed at developing the mathematical theory for examining the feasibility of given topological constraints and providing a generic floor plan solution for all possible design briefs.In this paper, we mathematically describe universal (or generic) rectangular floor plans with n rooms, that is, the floor plans that topologically contain all possible rectangular floor plans with n rooms. Then, we present a graph-theoretical approach for enumerating generic rectangular floor plans upto nine rooms. At the end, we demonstrate the transformation of generic floor plans into a floor plan corresponding to a given graph.

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2

Antipov, Evgeny A., and Elena B. Pokryshevskaya. "Are buyers of apartments superstitious? Evidence from the Russian real estate market." Judgment and Decision Making 10, no. 6 (November 2015): 590–92. http://dx.doi.org/10.1017/s1930297500007026.

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AbstractWe study the influence of numerological superstitions on people’s buying behavior in the apartment market using unique actual sales data. Based on the dataset from Saint-Petersburg primary real estate market we compare the share of sold apartments on floor 7 with that on floors 6 and 8, whereas floor 13 is benchmarked to floors 12 and 14. As floor plans are absolutely identical we manage to isolate the effects of the “lucky” and “unlucky” floors. The data we use allows clean identification of superstition effects, while being publicly available. We have found a clear negative effect of the 13th floor on demand for apartments, and a significant effect of preference towards the 7th floor compared to the two neighboring floors. Possible applications of our approach to other areas of consumer research are discussed.

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3

Konde, A., H. Tauscher, F. Biljecki, and J. Crawford. "FLOOR PLANS IN CITYGML." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W6 (September 12, 2018): 25–32. http://dx.doi.org/10.5194/isprs-annals-iv-4-w6-25-2018.

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<p><strong>Abstract.</strong> This paper (1) discusses the modelling of floor plans in CityGML; (2) proposes a delineation of multiple variants of indoor LoD0 in line with the current proposal for CityGML 3.0; (3) demonstrates a method to generate CityGML datasets with included floor plans; and (4) explores their usability. The use of an Application Domain Extension (ADE) is being proposed in order to preserve potentially useful information found within detailed building information models (BIM), specifically Industry Foundation Class (IFC), that cannot be stored in CityGML natively. Our work follows the current developments of CityGML 3.0, and based on the discussions in the CityGML Standards Working Group (SWG) it showcases one of the first datasets consistent with the ongoing development of CityGML 3.0 and one that follows the proposals for a new LOD concept and new interior features.</p>

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4

Hamad, Arazu, and Husein Husein. "The types of spatial adaptability based on user preferences of low-income apartments in erbil city." Al-Qadisiyah Journal for Engineering Sciences 16, no. 2 (June 30, 2023): 133–44. http://dx.doi.org/10.30772/qjes.v16i2.932.

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Spatial adaptability is the ability of floor plans to adapt to families' changing needs and requirements over time. Apartment floor plans that are not designed according to the user's preferences cannot meet his or her changing needs over time. So, an adaptable apartment floor plan is considered a desirable alternative that can provide various solutions to households' changing spatial needs in the present and the future. Future low-income apartment designs will be more effective if users select the most appropriate types of floor plan adaptability for their needs and culture. The aim of this study is to identify user preferences for the types of adaptability of floor plans and assess the adaptability capacity of low-income apartment floor plans based on those preferences. Based on the research criteria, six low-income multi-family residential buildings in Erbil City were chosen as case studies. The questionnaire was conducted through face-to-face interviews with 363 participants. The study used mixed methodologies, including a quantitative questionnaire survey and a qualitative case study analysis method, to answer the research questions. This study concluded that users did not prefer all the types of spatial adaptability; they preferred the ones that most suited their needs, lifestyles, and preferences. Low-income apartment floor plans didn’t support user preferences, and residents of low-income apartments in Erbil City could not adapt their apartment floor plans according to their preferences. According to the findings of this study, there should be a greater emphasis on the future design of low-income apartment floor plans in order to meet the changing space needs and requirements of families. This study can help architects and policymakers improve housing quality in Erbil City by considering user preferences for space adaptation when designing low-income apartment floor plans in the future.

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5

Marson, Fernando, and Soraia Raupp Musse. "Automatic Real-Time Generation of Floor Plans Based on Squarified Treemaps Algorithm." International Journal of Computer Games Technology 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/624817.

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A novel approach to generate house floor plans with semantic information is presented. The basis of this model is the squarified treemaps algorithm. Previously, this algorithm has been used to create graphical representations based on hierarchical information, such as, directory structures and organization structures. Adapted to floor plans generation, this model allows the creation of internal house structures with information about their features and functionalities. The main contributions are related to the robustness, flexibility, and simplicity of the proposed approach to create floor plans in real-time. Results show that different and realistic floor plans can be created by adjusting a few parameters.

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6

Shekhawat, Krishnendra. "Enumerating generic rectangular floor plans." Automation in Construction 92 (August 2018): 151–65. http://dx.doi.org/10.1016/j.autcon.2018.03.037.

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7

Milojević, M., V. Racic, M. Marjanović, and M. Nefovska-Danilović. "Vibration serviceability assessment of complex-shaped CLT floor." Journal of Physics: Conference Series 2647, no. 13 (June 1, 2024): 132002. http://dx.doi.org/10.1088/1742-6596/2647/13/132002.

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Abstract Cross-laminated timber (CLT) floors are typically an assembly of prefabricated panels connected together on the site. CLT offers a wide range of configuration possibilities, as it can be easily pre-cut into various shapes and sizes, making it suitable for use in different architectural design requirements. However, available CLT design guidelines do not apply to complex-shaped CLT floors, i.e. unconventional geometry of floor plans including concave polygons, arches and openings. This paper presents a numerical vibration analysis of such a floor with openings, which represents a standard floor structure for residential and commercial buildings. Influence of panel orientation and inter-panel connections on modal properties and vibration response induced by a single pedestrian walking is analysed and discussed.

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8

Mishra, Shashank, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, and Muhammad Zeshan Afzal. "Towards Robust Object Detection in Floor Plan Images: A Data Augmentation Approach." Applied Sciences 11, no. 23 (November 25, 2021): 11174. http://dx.doi.org/10.3390/app112311174.

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Object detection is one of the most critical tasks in the field of Computer vision. This task comprises identifying and localizing an object in the image. Architectural floor plans represent the layout of buildings and apartments. The floor plans consist of walls, windows, stairs, and other furniture objects. While recognizing floor plan objects is straightforward for humans, automatically processing floor plans and recognizing objects is challenging. In this work, we investigate the performance of the recently introduced Cascade Mask R-CNN network to solve object detection in floor plan images. Furthermore, we experimentally establish that deformable convolution works better than conventional convolutions in the proposed framework. Prior datasets for object detection in floor plan images are either publicly unavailable or contain few samples. We introduce SFPI, a novel synthetic floor plan dataset consisting of 10,000 images to address this issue. Our proposed method conveniently exceeds the previous state-of-the-art results on the SESYD dataset with an mAP of 98.1%. Moreover, it sets impressive baseline results on our novel SFPI dataset with an mAP of 99.8%. We believe that introducing the modern dataset enables the researcher to enhance the research in this domain.

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9

Hampel, Robert L. "Book Review: Floor Plans and Facades." Educational Researcher 40, no. 7 (October 2011): 338–39. http://dx.doi.org/10.3102/0013189x11423911.

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10

Galle, P. "A Language of Abstract Floor Plans." Environment and Planning B: Planning and Design 17, no. 2 (June 1990): 173–204. http://dx.doi.org/10.1068/b170173.

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11

Smith, Debbi A. "Creating Stack Floor Plans and Signage." Technical Services Quarterly 24, no. 3 (May 7, 2007): 29–39. http://dx.doi.org/10.1300/j124v24n03_03.

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Hassaan, Mohab, Philip Alexander Ott, Ann-Kristin Dugstad, Miguel A. Vega Torres, and André Borrmann. "Emergency Floor Plan Digitization Using Machine Learning." Sensors 23, no. 19 (October 9, 2023): 8344. http://dx.doi.org/10.3390/s23198344.

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An increasing number of special-use and high-rise buildings have presented challenges for efficient evacuations, particularly in fire emergencies. At the same time, however, the use of autonomous vehicles within indoor environments has received only limited attention for emergency scenarios. To address these issues, we developed a method that classifies emergency symbols and determines their location on emergency floor plans. The method incorporates color filtering, clustering and object detection techniques to extract walls, which were used in combination to generate clean, digitized plans. By integrating the geometric and semantic data digitized with our method, existing building information modeling (BIM) based evacuation tools can be enhanced, improving their capabilities for path planning and decision making. We collected a dataset of 403 German emergency floor plans and created a synthetic dataset comprising 5000 plans. Both datasets were used to train two distinct faster region-based convolutional neural networks (Faster R-CNNs). The models were evaluated and compared using 83 floor plan images. The results show that the synthetic model outperformed the standard model for rare symbols, correctly identifying symbol classes that were not detected by the standard model. The presented framework offers a valuable tool for digitizing emergency floor plans and enhancing digital evacuation applications.

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Kim, Hyunjung. "Evaluation of Deep Learning-Based Automatic Floor Plan Analysis Technology: An AHP-Based Assessment." Applied Sciences 11, no. 11 (May 21, 2021): 4727. http://dx.doi.org/10.3390/app11114727.

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This study proposes a technology that allows automatic extraction of vectorized indoor spatial information from raster images of floor plans. Automatic reconstruction of indoor spaces from floor plans is based on a deep learning algorithm, which trains on scanned floor plan images and extracts critical indoor elements such as room structures, junctions, walls, and openings. The newly developed technology proposed herein can handle complicated floor plans which could not be automatically extracted by previous studies because of its complexity and difficulty in being trained in deep learning. Such complicated reconstruction solely from a floor plan image can be digitized and vectorized either through manual drawing or with the help of newly developed deep learning-based automatic extraction. This study proposes an evaluation framework for assessing this newly developed technology against manual digitization. Using the analytical hierarchy process, the hierarchical aspects of technology value and their relative importance are systematically quantified. The analysis suggested that the automatic technology using a deep learning algorithm had predominant criteria followed by, substitutability, completeness, and supply and demand. In this study, the technology value of automatic floor plan analysis compared with that of traditional manual edits is compared systemically and assessed qualitatively, which had not been done in existing studies. Consequently, this study determines the effectiveness and usefulness of automatic floor plan analysis as a reasonable technology for acquiring indoor spatial information.

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Wickramasinghe, Vathsala, and G. L. D. Wickramasinghe. "Variable pay and job performance of shop-floor workers in lean production." Journal of Manufacturing Technology Management 27, no. 2 (March 7, 2016): 287–311. http://dx.doi.org/10.1108/jmtm-12-2014-0130.

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Purpose – The purpose of this paper is to investigate design features of variable pay plans adopted for shop-floor workers engaged in manufacturing firms that had implemented lean production systems, and the effects of design features on their job performance. Design/methodology/approach – In total, 892 shop-floor workers attached to lean implemented manufacturing firms in Sri Lanka responded for the study. Structural equation modelling was used for the data analysis. Findings – It was found that the performance evaluation-base for variable payments, variable pay calculation-base and goal setting for variable pay significantly predict job performance of the shop-floor workers. Originality/value – It could be expected that the academics and practitioners alike are motivated by their desire to clearly apprehend the contribution of variable pay plans on job performance of the shop-floor workers engaged in lean production systems. This demands more investigations to better understand the design features of variable pay plans.

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Carta, Silvio, Stephanie St. Loe, Tommaso Turchi, and Joel Simon. "Self-Organising Floor Plans in Care Homes." Sustainability 12, no. 11 (May 27, 2020): 4393. http://dx.doi.org/10.3390/su12114393.

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This paper presents and discusses an optimisation approach applied to spatial layouts in care home building design. With this study, we introduce a method for increasing the floor plan efficiency using a self-organising genetic algorithm, thus reducing energy consumption, improving the wellbeing of residents and having an implicit impact on the costs of energy and health care. In order to find an optimal spatial configuration, we elaborated and tested a number of design criteria based on existing literature reviews and interpreted through initial considerations of care home layouts. These are used as objectives in a Genetic Algorithm (GA) to evaluate the best design solution. The self-organised floor plan is then used to run a final simulation to observe how residents could use the optimised spaces and to measure the improved efficiency of the new plans. The paper concludes with the discussion of the results and some considerations for future studies and experiments using emergence behaviour models to improve sustainable development in design.

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Dong, Shuai, Wei Wang, Wensheng Li, and Kun Zou. "Vectorization of Floor Plans Based on EdgeGAN." Information 12, no. 5 (May 12, 2021): 206. http://dx.doi.org/10.3390/info12050206.

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A 2D floor plan (FP) often contains structural, decorative, and functional elements and annotations. Vectorization of floor plans (VFP) is an object detection task that involves the localization and recognition of different structural primitives in 2D FPs. The detection results can be used to generate 3D models directly. The conventional pipeline of VFP often consists of a series of carefully designed complex algorithms with insufficient generalization ability and suffer from low computing speed. Considering the VFP is not suitable for deep learning-based object detection frameworks, this paper proposed a new VFP framework to solve this problem based on a generative adversarial network (GAN). First, a private dataset called ZSCVFP is established. Unlike current public datasets that only own not more than 5000 black and white samples, ZSCVFP contains 10,800 colorful samples disturbed by decorative textures in different styles. Second, a new edge-extracting GAN (EdgeGAN) is designed for the new task by formulating the VFP task as an image translation task innovatively that involves the projection of the original 2D FPs into a primitive space. The output of EdgeGAN is a primitive feature map, each channel of which only contains one category of the detected primitives in the form of lines. A self-supervising term is introduced to the generative loss of EdgeGAN to ensure the quality of generated images. EdgeGAN is faster than the conventional and object-detection-framework-based pipeline with minimal performance loss. Lastly, two inspection modules that are also suitable for conventional pipelines are proposed to check the connectivity and consistency of PFM based on the subspace connective graph (SCG). The first module contains four criteria that correspond to the sufficient conditions of a fully connected graph. The second module that classifies the category of all subspaces via one single graph neural network (GNN) should be consistent with the text annotations in the original FP (if available). The reason is that GNN treats the adjacent matrix of SCG as weights directly. Thus, GNN can utilize the global layout information and achieve higher accuracy than other common classifying methods. Experimental results are given to illustrate the efficiency of the proposed EdgeGAN and inspection approaches.

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Allen, Richard. "Phantom stages: floor plans as affect machines." Theatre and Performance Design 5, no. 3-4 (October 2, 2019): 267–73. http://dx.doi.org/10.1080/23322551.2019.1693810.

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18

Mubin, Mu'inul, Mohamad Zenurianto, and Sugiharti Sugiharti. "PERENCANAAN SISTEM DISTRIBUSI AIR BERSIH DAN PENGOLAHAN AIR BUANGAN PADA PEMBANGUNAN TOWER A APARTEMEN TAMANSARI EMERALD SURABAYA." Jurnal JOS-MRK 2, no. 3 (September 20, 2021): 30–35. http://dx.doi.org/10.55404/jos-mrk.2021.02.03.30-35.

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Plumbing installation planning is one of the most important things in building constructions. The planning of clean water distribution network in the Tamansari Emerald Surabaya Apartment building is designed to serve the clean water needs of residents and customers. Plans are made in accordance with standards and regulations regarding the provision of clean water in the apartment. The Tamansari Emerald Surabaya Apartment is a building with 48 floors consisting of 1 basement floor, 1 commercial floor, 13 parking floors, and 33 residential floors. Clean water needs are calculated based on the number of residents and room types with a total building water requirement of 312. m³ / day. The diameter of vertical clean water pipe used is 4 inches,meanwhile the diameter for distribution pipes range of ¾ inch to 1 ½ inch. The clean water distribution system uses a ground water tank and roof tank, which those volumes are 120 m3 using 2 units tanks of 60 m3 and 20.8 m³using FRP-tank.

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Meng, Chuize, Shan Jiang, Mengning Wu, Xuan Xiao, Dan Tao, and Ruipeng Gao. "Smartphone-Based Indoor Floor Plan Construction via Acoustic Ranging and Inertial Tracking." Machines 11, no. 2 (February 1, 2023): 205. http://dx.doi.org/10.3390/machines11020205.

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The lack of indoor floor plans is one of the major obstacles to ubiquitous indoor location-based services. Dedicated mobile robots with high-precision sensors can measure and produce accurate indoor maps, but the deployment remains low for the public. Computer vision techniques are adopted by some existing smartphone-based methods to build the 3D point cloud, which have the cost of a quantity of the efforts of image collection and the risk of privacy issues. In this paper, we propose BatMapper-Plus which adopt acoustic ranging and inertial tracking to construct precise and complete indoor floor plans on smartphones. It emits acoustic signals to measure the distance from the smartphone to a neighbouring wall segment, and produces accessible areas by surrounding the building during walking. It also refines the constructed indoor floor plan to eliminate scattered segments, and identifies connection areas, including stairs and elevators among different floors. In addition, we propose an LSTM-based dead-reckoning model which is trained by outdoor IMU readings and GPS records, and use it to infer the step length during indoor walking, thereby improving the floor plan quality. We also elaborate how to use the constructed map for indoor navigation, i.e., a Dynamic Time Warping algorithm which automatically matches current inertial readings and historical sensory data during map construction to produce fine-grained walking guidance. To show our effectiveness compared with the state-of-the-art, we carry out extensive experiments in a teaching building and a residential building. It proves that our method is efficient without any privacy concerns and texture/illumination limitations.

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20

Tamura, Junko, and Kent Fang. "Quality of Public Housing in Singapore: Spatial Properties of Dwellings and Domestic Lives." Architecture 2, no. 1 (January 25, 2022): 18–30. http://dx.doi.org/10.3390/architecture2010002.

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Singapore’s public housing policies are widely known for their success in providing housing for over 80% of the residential population, with most owning homes. Extensive housing schemes generally offer a set of fixed housing layouts; yet, at the microscale of an individual dwelling, alterations to the units can be made by rearranging the floor plans to reflect the usage patterns of the household, thus adding diversity to the fixed configuration. The aim of this paper is to identify associations among a housing unit’s spatial properties by analysing fixed configurations and altered floor plans as well as determining the spatial preferences of the inhabitants. The research methodology applied in this paper has been divided into two parts: spatial network analysis and survey analysis. In the spatial network analysis, the configurations of individual housing units and altered units were compared by translating floor plans into graphs. The survey functions as a qualitative analysis to relate the lifestyle patterns of contemporary society to housing configurations.

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Tsai, G. J., Y. L. Chen, K. W. Chiang, and Y. C. Lai. "THE GENERATION OF BUILDING FLOOR PLANS USING PORTABLE AND UNMANNED AERIAL VEHICLE MAPPING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 331–37. http://dx.doi.org/10.5194/isprs-archives-xli-b4-331-2016.

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Indoor navigation or positioning systems have been widely developed for Location-Based Services (LBS) applications and they come along with a keen demand of indoor floor plans for displaying results even improving the positioning performance. Generally, the floor plans produced by robot mapping focus on perceiving the environment to avoid obstacles and using the feature landmarks to update the robot position in the relative coordinate frame. These maps are not accurate enough to incorporate to the indoor positioning system. This study aims at developing Indoor Mobile Mapping System (Indoor MMS) and concentrates on generating the highly accurate floor plans based on the robot mapping technique using the portable, robot and Unmanned Aerial Vehicles (UAV) platform. The proposed portable mapping system prototype can be used in the chest package and the handheld approach. In order to evaluate and correct the generated floor plans from robot mapping techniques, this study builds the testing and calibration field using the outdoor control survey method implemented in the indoor environments. Based on control points and check points from control survey, this study presents the map rectification method that uses the affine transformation to solve the scale and deformation problems and also transfer the local coordinate system into world standard coordinate system. The preliminary results illustrate that the final version of the building floor plan reach 1 meter absolute positioning accuracy using the proposed mapping systems that combines with the novel map rectification approach proposed. These maps are well geo-referenced with world coordinate system thus it can be applied for future seamless navigation applications including indoor and outdoor scenarios.

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Tsai, G. J., Y. L. Chen, K. W. Chiang, and Y. C. Lai. "THE GENERATION OF BUILDING FLOOR PLANS USING PORTABLE AND UNMANNED AERIAL VEHICLE MAPPING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 331–37. http://dx.doi.org/10.5194/isprsarchives-xli-b4-331-2016.

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Indoor navigation or positioning systems have been widely developed for Location-Based Services (LBS) applications and they come along with a keen demand of indoor floor plans for displaying results even improving the positioning performance. Generally, the floor plans produced by robot mapping focus on perceiving the environment to avoid obstacles and using the feature landmarks to update the robot position in the relative coordinate frame. These maps are not accurate enough to incorporate to the indoor positioning system. This study aims at developing Indoor Mobile Mapping System (Indoor MMS) and concentrates on generating the highly accurate floor plans based on the robot mapping technique using the portable, robot and Unmanned Aerial Vehicles (UAV) platform. The proposed portable mapping system prototype can be used in the chest package and the handheld approach. In order to evaluate and correct the generated floor plans from robot mapping techniques, this study builds the testing and calibration field using the outdoor control survey method implemented in the indoor environments. Based on control points and check points from control survey, this study presents the map rectification method that uses the affine transformation to solve the scale and deformation problems and also transfer the local coordinate system into world standard coordinate system. The preliminary results illustrate that the final version of the building floor plan reach 1 meter absolute positioning accuracy using the proposed mapping systems that combines with the novel map rectification approach proposed. These maps are well geo-referenced with world coordinate system thus it can be applied for future seamless navigation applications including indoor and outdoor scenarios.

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23

Park, Jin-Ho, and Lionel March. "Space architecture: Schindler's 1930 Braxton-Shore project." Architectural Research Quarterly 7, no. 1 (March 2003): 51–62. http://dx.doi.org/10.1017/s1359135503001982.

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Rudolph Michael Schindler (1887–1953) designed a beach house for Henry Braxton and Viola Brothers Shore in 1930. The house was to have been sited on Ocean Front Walk, Venice, Los Angeles [1]. It was never built, but remains a paper project. In the architectural drawings archives at University of California, Santa Barbara, there are both sketch plans and detailed plans for four levels: the ground floor, the main floor, the balcony floor and the roof level. There are drawings for each of the four elevations as well as sections. Constructional details are provided on five sheets. All told there are 13 extant drawings. In his signature upper case, Schindler typed a brief written description of the house [Table 1].

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Babacan, K., J. Jung, A. Wichmann, B. A. Jahromi, M. Shahbazi, G. Sohn, and M. Kada. "TOWARDS OBJECT DRIVEN FLOOR PLAN EXTRACTION FROM LASER POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 3–10. http://dx.doi.org/10.5194/isprs-archives-xli-b3-3-2016.

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During the last years, the demand for indoor models has increased for various purposes. As a provisional step to proceed towards higher dimensional indoor models, powerful and flexible floor plans can be utilised. Therefore, several methods have been proposed that provide automatically generated floor plans from laser point clouds. The prevailing methodology seeks to attain semantic enhancement of a model (e.g. the identification and labelling of its components) built upon already reconstructed (a priori) geometry. In contrast, this paper demonstrates preliminary research on the possibility to directly incorporate semantic knowledge, which is itself derived from the raw data during the extraction, into the geometric modelling process. In this regard, we propose a new method to automatically extract floor plans from raw point clouds. It is based on a hierarchical space partitioning of the data, integrated with primitive selection actuated by object detection. First, planar primitives corresponding to vertical architectural structures are extracted using M-estimator SAmple and Consensus (MSAC). The set of the resulting line segments are refined by a selection process through a novel door detection algorithm, considering optimization of prior information and fitness to the data. The selected lines are used as hyperlines to partition the space into enclosed areas. Finally, a floor plan is extracted from these partitions by Minimum Description Length (MDL) hypothesis ranking. The algorithm is applied on a real mobile laser scanner dataset and the results are evaluated both in terms of door detection and consecutive floor plan extraction.

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Babacan, K., J. Jung, A. Wichmann, B. A. Jahromi, M. Shahbazi, G. Sohn, and M. Kada. "TOWARDS OBJECT DRIVEN FLOOR PLAN EXTRACTION FROM LASER POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 3–10. http://dx.doi.org/10.5194/isprsarchives-xli-b3-3-2016.

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During the last years, the demand for indoor models has increased for various purposes. As a provisional step to proceed towards higher dimensional indoor models, powerful and flexible floor plans can be utilised. Therefore, several methods have been proposed that provide automatically generated floor plans from laser point clouds. The prevailing methodology seeks to attain semantic enhancement of a model (e.g. the identification and labelling of its components) built upon already reconstructed (a priori) geometry. In contrast, this paper demonstrates preliminary research on the possibility to directly incorporate semantic knowledge, which is itself derived from the raw data during the extraction, into the geometric modelling process. In this regard, we propose a new method to automatically extract floor plans from raw point clouds. It is based on a hierarchical space partitioning of the data, integrated with primitive selection actuated by object detection. First, planar primitives corresponding to vertical architectural structures are extracted using M-estimator SAmple and Consensus (MSAC). The set of the resulting line segments are refined by a selection process through a novel door detection algorithm, considering optimization of prior information and fitness to the data. The selected lines are used as hyperlines to partition the space into enclosed areas. Finally, a floor plan is extracted from these partitions by Minimum Description Length (MDL) hypothesis ranking. The algorithm is applied on a real mobile laser scanner dataset and the results are evaluated both in terms of door detection and consecutive floor plan extraction.

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Shin, Dongik, Hyeongmin Ryu, Jeeyeop Kim, and Jinyoung Kim. "Evaluation of Data Extracted from Floor Plans for Apartment Complex Remodeling." Advances in Civil Engineering 2022 (November 8, 2022): 1–23. http://dx.doi.org/10.1155/2022/9376886.

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South Korea has witnessed an increasing social demand for housing supply due to rapid urban population growth from the 1950s through the 1970s. At least two million houses have been in use for 30 years or more since the implementation of policies related to the mass production of apartment houses 20–30 years ago. Methods for improving the aging of domestic apartment houses and their living environment are reconstruction and remodeling, and the government has been encouraging remodeling by easing laws and regulations related to it. During the early stages of a typical remodeling project, many candidate floor plans arise in the process of finalizing the floor plan, resulting in significant time consumption in the iterative process for reviews and revisions. Extracting quantitative indicators by comparing floor plans before and after remodeling at the initial design stage and comparing the indicators of the target complex with the existing case can facilitate a more time-efficient and economical decision-making process. In this study, quantitative indicators were extracted from floor plans by applying a structural evaluation program for remodeling of apartment housing at five existing domestic apartment complexes (nine buildings in total), and a detailed comparative analysis was conducted. Evaluated indices included variations of floor area, load-bearing wall, nonbearing wall, slab, weight, area moment of inertia, torsional resistance, and visualization of removed, remaining, and new bearing walls. The proposed method can continuously accumulate data from domestic apartment house remodeling projects and accelerate the process by shortening the time required for final decision-making in future remodeling projects.

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Yadav, Abhay, and Devesh Ojha. "Architectural Drawing of G+10 Building By 3ds Max+V-Ray Lumion." Journal of Mechanical and Construction Engineering (JMCE) 1, no. 2 (November 5, 2021): 1–11. http://dx.doi.org/10.54060/jmce/001.02.004.

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This work aims to complete the planning and architectural drawing of the G+10 building. The planning is carried out in AutoCAD followed by architectural drawing in Auto-desk 3DS MAX 2015. The rendering of this work has been done in LUMION 10. The building design is a multi-story residential building i.e., G+10. The building is rectangular in shape. The ground floor is left as a parking space for 40 flats of the building. Every floor has 4 flats, two 2bhk and two 3bhk. Plans for all the floors are identical. The orientation of the building is in such a way that the front is facing towards the south. The building has been designed as an RCC framed structure and the type of wall is a brick wall.

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Sato, Yusuke, and Kiyoshi Shingu. "Characteristics Analysis of Two-Dimensional Configuration Using Modified Box-Count Method." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 3 (May 20, 2005): 337–42. http://dx.doi.org/10.20965/jaciii.2005.p0337.

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An architectural floor plan includes elements that determine movement of people within the architectural space and that play an important role in relating people and architecture. Especially since modern times, various shapes that deviate and escape from a floor plan by means of right-angled constitution have arisen and have been used as elements of architecture. Therefore, it is necessary to consider "a floor plan". We propose an index that classifies floor plans from a person's view, analyzing them by the modified box-count method comparing results, and proposing consideration.

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"FLOOR PLANS." Journal of the American Geriatrics Society 41, S1 (November 1993): viii. http://dx.doi.org/10.1111/j.1532-5415.1993.tb07366.x.

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30

"Floor Plans." Endocrine Journal 57, Suppl.2 (2010): S188—S189. http://dx.doi.org/10.1507/endocrj.57.s188.

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"Floor Plans." Endocrine Journal 57, Suppl.3 (2011): S781—S782. http://dx.doi.org/10.1507/endocrj.57.s781.

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32

"Floor Plans." Neurology 50, Issue 3, Supplement 2 (March 1, 1998): 62–65. http://dx.doi.org/10.1212/wnl.50.3_suppl_2.62.

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33

"Floor Plans." Chemical & Engineering News 80, no. 14b (April 7, 2002): 296–312. http://dx.doi.org/10.1021/cen-v080n014b.p296.

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34

"Floor Plans." European Journal of Cancer Supplements 8, no. 5 (June 2010): xx. http://dx.doi.org/10.1016/s1359-6349(10)70804-1.

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35

"Floor Plans." European Journal of Cancer 48 (July 2012): xx—xxi. http://dx.doi.org/10.1016/s0959-8049(12)70699-8.

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"HOTEL FLOOR PLANS." LASER THERAPY 15, no. 2 (2006): 67–68. http://dx.doi.org/10.5978/islsm.15.67.

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37

"Hotel Floor Plans." Journal of the Society for Gynecologic Investigation 12, S2 (February 2005): vi. http://dx.doi.org/10.1177/1933719105012s206.

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38

"Loews Floor Plans." GSA Today 16, no. 9 (2006): 44. http://dx.doi.org/10.1130/1052-5173(2006)16[44:lfp]2.0.co;2.

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"Marriott Floor Plans." GSA Today 16, no. 9 (2006): 46. http://dx.doi.org/10.1130/1052-5173(2006)16[46:mfp]2.0.co;2.

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"Hotel floor plans." Journal of the Society for Gynecologic Investigation 11, no. 2 (February 2004): vii—ix. http://dx.doi.org/10.1016/j.jsgi.2004.01.007.

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"Hotel floor plans." American Journal of Obstetrics and Gynecology 195, no. 6 (December 2006): 22. http://dx.doi.org/10.1016/s0002-9378(06)02257-5.

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42

"Hotel Floor Plans." PS: Political Science & Politics 33, S1 (September 2000): 14–20. http://dx.doi.org/10.1017/s104909650005575x.

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"Hotel floor plans." Journal of the Society for Gynecologic Investigation 10, no. 2 (February 2003): vii—ix. http://dx.doi.org/10.1016/s1071-5576(03)00032-7.

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"Conference floor plans." Bone and Mineral 17 (April 1992): x—xi. http://dx.doi.org/10.1016/0169-6009(92)91633-t.

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"Hotel Floor Plans." PS: Political Science & Politics 32, S1 (September 1999): 14–23. http://dx.doi.org/10.1017/s104909650005040x.

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"Hotel Floor Plans." PS: Political Science & Politics 31, S1 (September 1998): 34–37. http://dx.doi.org/10.1017/s1049096500053981.

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"Meeting Room Floor Plans." Annals of Behavioral Medicine 15, Supplement (March 10, 1993): S10. http://dx.doi.org/10.1093/abm/15.supplement.abm0s10.

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"Hyatt Embarcadero Floor Plans." Annals of Behavioral Medicine 19, Supplement (April 16, 1997): S008—S009. http://dx.doi.org/10.1093/abm/19.supplement.abms008.

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"Meeting Room Floor Plans." Annals of Behavioral Medicine 16, Supplement (April 13, 1993): S010—S011. http://dx.doi.org/10.1093/abm/16.supplement.abms010.

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"Meeting Room Floor Plans." Annals of Behavioral Medicine 17, Supplement (March 22, 1995): S009. http://dx.doi.org/10.1093/abm/17.supplement.abms009.

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