scholarly journals TESTING THE IMPACT OF 2D GENERALISATION ON 3D MODELS – EXPLORING ANALYSIS OPTIONS WITH AN OFF-THE-SHELF SOFTWARE PACKAGE

2018 ◽  
Vol XLII-4/W10 ◽  
pp. 119-126
Author(s):  
E. Muñumer Herrero ◽  
C. Ellul ◽  
J. Morley
Keyword(s):  
3D Models ◽  
3D Analysis ◽  
Spatial Analyses ◽  
3D City Models ◽  
The Third ◽  
The Past ◽  
Processing Times ◽  
Third Dimension ◽  
The Impact ◽  
City Models

<p><strong>Abstract.</strong> Popularity and diverse use of 3D city models has increased exponentially in the past few years, providing a more realistic impression and understanding of cities. Often, 3D city models are created by elevating the buildings from a detailed 2D topographic base map and subsequently used in studies such as solar panel allocation, infrastructure remodelling, antenna installations or even tourist guide applications. However, the large amount of resulting data slows down rendering and visualisation of the 3D models, and can also impact the performance of any analysis. Generalisation enables a reduction in the amount of data – however the addition of the third dimension makes this process more complex, and the loss of detail resulting from the process will inevitably have an impact on the result of any subsequent analysis.</p><p>While a few 3D generalization algorithms do exist in a research context, these are not available commercially. However, GIS users can create the generalised 3D models by simplifying and aggregating the 2D dataset first and then extruding it to the third dimension. This approach offers a rapid generalization process to create a dataset to underpin the impact of using generalised data for analysis. Specifically, in this study, the line of sight from a tall building and the sun shadow that it creates are calculated and compared, in both original and generalised datasets. The results obtained after the generalisation process are significant: both the number of polygons and the number of nodes are minimized by around 83<span class="thinspace"></span>% and the volume of 3D buildings is reduced by 14.87<span class="thinspace"></span>%. As expected, the spatial analyses processing times are also reduced. The study demonstrates the impact of generalisation on analytical results – which is particularly relevant in situations where detailed data is not available and will help to guide the development of future 3D generalisation algorithms. It also highlights some issues with the overall maturity of 3D analysis tools, which could be one factor limiting uptake of 3D GIS.</p>

scholarly journals INTEGRATION OF SEMANTIC 3D CITY MODELS AND 3D MESH MODELS FOR ACCURACY IMPROVEMENTS OF SOLAR POTENTIAL ANALYSES

2018 ◽  
Vol XLII-4/W10 ◽  
pp. 223-230 ◽  
Author(s):  
B. Willenborg ◽  
M. Pültz ◽  
T. H. Kolbe
Keyword(s):  
Open Data ◽  
Region Growing ◽  
3D Models ◽  
Distance Measures ◽  
Data Set ◽  
3D Mesh ◽  
3D City Models ◽  
The Impact ◽  
Mesh Models ◽  
City Models

<p><strong>Abstract.</strong> High-resolution 3D mesh models are an inexpensive and increasingly available data source for 3D models of cities and landscapes of high visual quality and rich geometric detail. However, because of their simple data structure, their analytic capabilites are limited. Semantic 3D city model contain rich thematic information and are well suited for analytics due to their deeply structured semantic data model. In this work an approach for the integration of semantic 3D city models with 3D mesh models is presented. The method is based on geometric distance measures between mesh triangles and semantic surfaces and a region growing approach using plane fitting. The resulting semantic segmentation of mesh triangles is stored in a CityGML data set, to enrich the semantic model with an additional detailed geometric representation of its surfaces and a broad range of unrepresented features like technical building installations, balconies, dormers, chimneys, and vegetation. The potential of the approach is demonstrated on the example of a solar potential analysis, which estimation quality is significantly improved due to the mesh integration. The impact of the method is quantified on a case study using open data from the city of Helsinki.</p>

scholarly journals EXPLORING THE IMPACT OF VISUAL COMPLEXITY LEVELS IN 3D CITY MODELS ON THE ACCURACY OF INDIVIDUALS’ ORIENTATION AND COGNITIVE MAPS

2015 ◽  
Vol II-3/W5 ◽  
pp. 499-506 ◽  
Author(s):  
V. Rautenbach ◽  
A. Çöltekin ◽  
S. Coetzee
Keyword(s):  
Negative Impact ◽  
Visual Complexity ◽  
Cognitive Maps ◽  
Answer Sheet ◽  
Development Planning ◽  
Mental Maps ◽  
3D City Models ◽  
Levels Of Detail ◽  
The Impact ◽  
City Models

In this paper we report results from a qualitative user experiment (n=107) designed to contribute to understanding the impact of various levels of complexity (mainly based on levels of detail, i.e., LoD) in 3D city models, specifically on the participants’ orientation and cognitive (mental) maps. The experiment consisted of a number of tasks motivated by spatial cognition theory where participants (among other things) were given orientation tasks, and in one case also produced sketches of a path they ‘travelled’ in a virtual environment. The experiments were conducted in groups, where individuals provided responses on an answer sheet. The preliminary results based on descriptive statistics and qualitative sketch analyses suggest that very little information (i.e., a low LoD model of a smaller area) might have a negative impact on the accuracy of cognitive maps constructed based on a virtual experience. Building an accurate cognitive map is an inherently desired effect of the visualizations in planning tasks, thus the findings are important for understanding how to develop better-suited 3D visualizations such as 3D city models. In this study, we specifically discuss the suitability of different levels of visual complexity for development planning (urban planning), one of the domains where 3D city models are most relevant.

scholarly journals INVESTIGATING INTEROPERABILITY CAPABILITIES BETWEEN IFC AND CITYGML LOD 4 – RETAINING SEMANTIC INFORMATION

2018 ◽  
Vol XLII-4/W10 ◽  
pp. 33-40 ◽  
Author(s):  
G. S. Floros ◽  
C. Ellul ◽  
E. Dimopoulou
Keyword(s):  
Semantic Information ◽  
Open Data ◽  
3D Models ◽  
Solar Panels ◽  
3D City Models ◽  
Information Models ◽  
Building Information ◽  
Consistent Manner ◽  
3D Information ◽  
City Models

<p><strong>Abstract.</strong> Applications of 3D City Models range from assessing the potential output of solar panels across a city to determining the best location for 5G mobile phone masts. While in the past these models were not readily available, the rapid increase of available data from sources such as Open Data (e.g. OpenStreetMap), National Mapping and Cadastral Agencies and increasingly Building Information Models facilitates the implementation of increasingly detailed 3D Models. However, these sources also generate integration challenges relating to heterogeneity, storage and efficient management and visualization. CityGML and IFC (Industry Foundation Classes) are two standards that serve different application domains (GIS and BIM) and are commonly used to store and share 3D information. The ability to convert data from IFC to CityGML in a consistent manner could generate 3D City Models able to represent an entire city, but that also include detailed geometric and semantic information regarding its elements. However, CityGML and IFC present major differences in their schemas, rendering interoperability a challenging task, particularly when details of a building’s internal structure are considered (Level of Detail 4 in CityGML). The aim of this paper is to investigate interoperability options between the aforementioned standards, by converting IFC models to CityGML LoD 4 Models. The CityGML Models are then semantically enriched and the proposed methodology is assessed in terms of model’s geometric validity and capability to preserve semantics.</p>

scholarly journals The Foucault Effect in Organization Studies

2017 ◽  
Vol 40 (2) ◽  
pp. 155-182 ◽  
Author(s):  
Sverre Raffnsøe ◽  
Andrea Mennicken ◽  
Peter Miller
Keyword(s):  
Twentieth Century ◽  
The Self ◽  
Third Wave ◽  
Organization Studies ◽  
Linguistic Turn ◽  
The Third ◽  
The Past ◽  
Organizational Scholarship ◽  
The Impact ◽  
Second Wave

Since the establishment of Organization Studies in 1980, Michel Foucault’s oeuvre has had a remarkable and continuing influence on its field. This article traces the different ways in which organizational scholars have engaged with Foucault’s writings over the past thirty years or so. We identify four overlapping waves of influence. Drawing on Foucault’s Discipline and Punish, the first wave focused on the impact of discipline, and techniques of surveillance and subjugation, on organizational practices and power relations. Part of a much wider ‘linguistic’ turn in the second half of the twentieth century, the second wave led to a focus on discourses as intermediaries that condition ways of viewing and acting. This wave drew mainly on Foucault’s early writings on language and discourse. The third wave was inspired by Foucault’s seminal lectures on governmentality towards the end of the 1970s. Here, an important body of international research investigating governmental technologies operating on subjects as free persons in sites such as education, accounting, medicine and psychiatry emerged. The fourth and last wave arose out of a critical engagement with earlier Foucauldian organizational scholarship and sought to develop a more positive conception of subjectivity. This wave draws in particular on Foucault’s work on asceticism and techniques of the self towards the end of his life. Drawing on Deleuze and Butler, the article conceives the Foucault effect in organization studies as an immanent cause and a performative effect. We argue for the need to move beyond the tired dichotomies between discipline and autonomy, compliance and resistance, power and freedom that, at least to some extent, still hamper organization studies. We seek to overcome such dichotomies by further pursuing newly emerging lines of Foucauldian research that investigate processes of organizing, calculating and economizing characterized by a differential structuring of freedom, performative and indirect agency.

3D City Modeling and Visualization for Smart Phone Applications

2012 ◽  
pp. 254-296
Author(s):  
Juha Hyyppä ◽  
Lingli Zhu ◽  
Zhengjun Liu ◽  
Harri Kaartinen ◽  
Anttoni Jaakkola
Keyword(s):  
Data Acquisition ◽  
Laser Scanning ◽  
3D Models ◽  
Image Capture ◽  
3D City Models ◽  
Central Computer ◽  
3D Data ◽  
Open Operation ◽  
City Modeling ◽  
City Models

Smartphones with larger screens, powerful processors, abundant memory, and an open operation system provide many possibilities for 3D city or photorealistic model applications. 3D city or photorealistic models can be used by the users to locate themselves in the 3D world, or they can be used as methods for visualizing the surrounding environment once a smartphone has already located the phone by other means, e.g. by using GNSS, and then to provide an interface in the form of a 3D model for the location-based services. In principle, 3D models can be also used for positioning purposes. For example, matching of images exported from the smartphone and then registering them in the existing 3D photorealistic world provides the position of the image capture. In that process, the central computer can do a similar image matching task when the users locate themselves interactively into the 3D world. As the benefits of 3D city models are obvious, this chapter demonstrates the technology used to provide photorealistic 3D city models and focus on 3D data acquisition and the methods available in 3D city modeling, and the development of 3D display technology for smartphone applications. Currently, global geoinformatic data providers, such as Google, Nokia (NAVTEQ), and TomTom (Tele Atlas), are expanding their products from 2D to 3D. This chapter is a presentation of a case study of 3D data acquisition, modeling and mapping, and visualization for a smartphone, including an example based on data collected by mobile laser scanning data from the Tapiola (Espoo, Finland) test field.

scholarly journals STATE-OF-THE-ART OF 3D NATIONAL MAPPING IN 2016

2016 ◽  
Vol XLI-B4 ◽  
pp. 653-660 ◽  
Author(s):  
Jantien Stoter ◽  
Bruno Vallet ◽  
Thomas Lithen ◽  
Maria Pla ◽  
Piotr Wozniak ◽  
...  
Keyword(s):  
Spatial Data ◽  
State Of The Art ◽  
3D Mapping ◽  
Experimental Phase ◽  
The Third ◽  
Topographic Data ◽  
The Past ◽  
3D Data ◽  
Ongoing Work ◽  
Third Dimension

Techniques for 3D mapping are maturing. At the same time the need for 3D data is increasing. This has pushed national (and regional) mapping agencies (NMAs) to consider extending their traditional task of providing topographic data into the third dimension. To show how research results in 3D mapping obtained over the past twenty years have been adopted by practice, this paper presents the ongoing work on 3D mapping within seven NMAs, all member of the 3D Special Interest Group of European Spatial Data Research (EuroSDR). The paper shows that some NMAs are still in the initial (experimental) phase of 3D mapping, while others have already built solid databases to maintain 2.5D and 3D topographic data covering their whole country.

scholarly journals A combined pipeline for quantitative analysis of human brain cytoarchitecture

2020 ◽  
Author(s):  
Irene Costantini ◽  
Giacomo Mazzamuto ◽  
Matteo Roffilli ◽  
Annunziatina Laurino ◽  
Filippo Maria Castelli ◽  
...  
Keyword(s):  
Human Brain ◽  
Structural Organization ◽  
3D Analysis ◽  
Human Brain Tissue ◽  
The Third ◽  
Cellular Resolution ◽  
The Mean ◽  
Third Dimension ◽  
Histopathological Studies ◽  
The Brain

AbstractThe 3D analysis of the human brain architecture at cellular resolution is still a big challenge. In this work, we propose a pipeline that solves the problem of performing neuronal mapping in large human brain samples at micrometer resolution. First, we introduce the SWITCH/TDE protocol: a robust methodology to clear and label human brain tissue. Then, we implement the 2.5D method based on a Convolutional Neural Network, to automatically detect and segment all neurons. Our method proved to be highly versatile and was applied successfully on specimens from different areas of the cortex originating from different subjects (young, adult and elderly, both healthy and pathological). We quantitatively evaluate the density and, more importantly, the mean volume of the thousands of neurons identified within the specimens. In conclusion, our pipeline makes it possible to study the structural organization of the brain and expands the histopathological studies to the third dimension.

scholarly journals PLASTIC SURGERY FOR 3D CITY MODELS: A PIPELINE FOR AUTOMATIC GEOMETRY REFINEMENT AND SEMANTIC ENRICHMENT

2021 ◽  
Vol V-4-2021 ◽  
pp. 17-24
Author(s):  
O. Wysocki ◽  
B. Schwab ◽  
L. Hoegner ◽  
T. H. Kolbe ◽  
U. Stilla
Keyword(s):  
Point Clouds ◽  
3D Models ◽  
Data Types ◽  
Automated Driving ◽  
3D City Models ◽  
Semantic Enrichment ◽  
Simulation Engine ◽  
Global Accuracy ◽  
Model Database ◽  
City Models

Abstract. Nowadays, the number of connected devices providing unstructured data is rapidly rising. These devices acquire data with a temporal and spatial resolution at an unprecedented level creating an influx of geoinformation which, however, lacks semantic information. Simultaneously, structured datasets like semantic 3D city models are widely available and assure rich semantics and high global accuracy but are represented by rather coarse geometries. While the mentioned downsides curb the usability of these data types for nowadays’ applications, the fusion of both shall maximize their potential. Since testing and developing automated driving functions stands at the forefront of the challenges, we propose a pipeline fusing structured (CityGML and HD Map datasets) and unstructured datasets (MLS point clouds) to maximize their advantages in the automatic 3D road space models reconstruction domain. The pipeline is a parameterized end-to-end solution that integrates segmentation, reconstruction, and modeling tasks while ensuring geometric and semantic validity of models. Firstly, the segmentation of point clouds is supported by the transfer of semantics from a structured to an unstructured dataset. The distinction between horizontal- and vertical-like point cloud subsets enforces a further segmentation or an immediate refinement while only adequately depicted models by point clouds are allowed. Then, based on the classified and filtered point clouds the input 3D model geometries are refined. Building upon the refinement, the semantic enrichment of the 3D models is presented. The deployment of a simulation engine for automated driving research and a city model database tool underlines the versatility of possible application areas.

scholarly journals A Preliminary 1D-3D Analysis of the Darmstadt Research Engine Under Motored Condition

2020 ◽  
Vol 197 ◽  
pp. 06006
Author(s):  
Clara Iacovano ◽  
Fabio Berni ◽  
Alessio Barbato ◽  
Stefano Fontanesi
Keyword(s):  
Heat Transfer ◽  
Compression Ratio ◽  
Ad Hoc ◽  
Slight Modification ◽  
3D Models ◽  
Research Unit ◽  
Heat Fluxes ◽  
3D Analysis ◽  
Cfd Models ◽  
The Impact

In the present paper, 1D and 3D CFD models of the Darmstadt research engine undergo a preliminary validation against the available experimental dataset at motored condition. The Darmstadt engine is a single-cylinder optical research unit and the chosen operating point is characterized by a revving speed equal to 800 rpm with intake temperature and pressure of 24 °C and 0.95 bar, respectively. Experimental data are available from the TU Darmstadt engine research group. Several aspects of the engine are analyzed, such as crevice modeling, blow-by, heat transfer and compression ratio, with the aim to minimize numerical uncertainties. On the one hand, a GT-Power model of the engine is used to investigate the impact of blow-by and crevices modeling during compression and expansion strokes. Moreover, it provides boundary conditions for the following 3D CFD simulations. On the other hand, the latter, carried out in a RANS framework with both highand low-Reynolds wall treatments, allow a deeper investigation of the boundary layer phenomena and, thus, of the gas-to-wall heat transfer. A detailed modeling of the crevice, along with an ad hoc tuning of both blow-by and heat fluxes lead to a remarkable improvement of the results. However, in order to adequately match the experimental mean in-cylinder pressure, a slight modification of the compression ratio from the nominal value is accounted for, based on the uncertainty which usually characterizes such geometrical parameter. The present preliminary study aims at providing reliable numerical setups for 1D and 3D models to be adopted in future detailed investigations on the Darmstadt research engine.

The influence of Sino-American cooperative relations on Korean security

1986 ◽  
Vol 1 (0) ◽  
pp. 145-152
Author(s):  
Jin Sam Lee
Keyword(s):  
Developmental Process ◽  
Initial Period ◽  
Economic Cooperation ◽  
Limiting Factor ◽  
Military Cooperation ◽  
The Third ◽  
The Past ◽  
Formal Relations ◽  
Northeast Asian ◽  
The Impact

The purpose of this study is to analyze the developmental process in Sino-American relations and then to examine the impact of these relations upon Korean security. Recent changes in the Northeast Asian international situation represent the most critical variables for Korean security. The Sino-American relationship has undergone many apparent and some subtle changes during the past decade. During the initial period both governments sought ways to establish formal relations in two parties. During the next period formal and economic cooperation was emphasized. And, the third is the period of military cooperation. The atmosphere of growing Sino-Soviet reconciliation during the 1980's in particular serves as a limiting factor on Sino-American relations and reveals China's importance as a variable in the Northeast Asian stability.

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