scholarly journals The level of detail for 4D BIM modeling

2021 ◽  
Vol 1209 (1) ◽  
pp. 012002
Author(s):  
Y Nechyporchuk ◽  
R Baskova

Abstract 4D modeling has been actively developing over the past decade along with the progress of BIM implementation. 4D model can provide enhanced early decisions about the space-temporal criticality of work elements. This models is a collection of graphical and scheduling information about an object. These inputs can have different levels of detail (LOD). In creating and using BIM projects, the LOD of datasets is an important aspect. However, to date there is limited research thoroughly investigating the issue of LOD within 4D models. The article provides an overview of studies related to the level of detail for 4D models, and also describes the impact of LOD on the final 4D model.

2020 ◽  
Vol 10 (11) ◽  
pp. 3949 ◽  
Author(s):  
Donglian Gu ◽  
Zhe Zheng ◽  
Pengju Zhao ◽  
Linlin Xie ◽  
Zhen Xu ◽  
...  

The outbreak of COVID-19 resulted in severe pressure on the existing medical infrastructure in China. Several Chinese cities began to construct temporary hospitals for the centralized treatment of COVID-19 patients. The harmful exhaust air from the outlets of these hospitals may have a significant adverse impact on the fresh-air intakes and surrounding environment. Owing to the need to rapidly construct these hospitals within 6–10 days, just a few hours are allowed for the analysis of the impact of this exhaust air on the environment. To overcome this difficulty, a high-efficiency simulation framework is proposed in this study. Based on the open-source computational fluid dynamics software, FDS, the proposed framework is adaptive and incorporates building information with different levels of detail during various design phases of the hospital, and has been applied in the design of the Wuhan Huoshenshan Hospital, the first typical COVID-19 temporary hospital in China. According to the simulation results, neither the fresh-air intakes nor the surrounding buildings would be polluted by the harmful air discharged from the air outlets of the Huoshenshan hospital. The proposed simulation framework can provide a reference for the design and overall planning of similar hospitals in China and other affected countries.


Author(s):  
Sven H. Reese ◽  
Johannes Seichter ◽  
Dietmar Klucke

Consideration of environmentally assisted fatigue (EAF) is in discussion internationally. In German KTA Rules the effect is taken into account by means of so called attention thresholds. While the laboratory phenomena themselves are being accepted widely, numerical calculation procedures are revised continuously and transition from laboratory to real plant components is not clarified yet. Since NUREG/CR-6909, formulas for calculating the Fen factors have been modified several times. For example in ANL-LWRS47-2011 a new set of formulas was published and slightly revised by ANL in 2012. Various calculation procedures like the strain-integrated method and simplified approach have been published while each approach yields to different results. Beyond this, additional topics like weld factors or plasticity correction factors have to be taken into account. Calculation procedures depending on the level of detail and in the description of loads are yielding to significant variations in the results. Respecting these topics in context of different levels of detail in computational simulations, numerical cumulative usage factor (CUF) evaluation results are likely to differ, depending on the assumptions made. On the basis of a practical example, methods and approaches will be discussed and recommendations in terms of avoiding over-conservatism and misinterpretation will be presented.


Author(s):  
Richelle L. Winkler ◽  
Jaclyn L. Butler ◽  
Katherine J. Curtis ◽  
David Egan-Robertson

AbstractEach decade since the 1950s, demographers have generated high-quality net migration estimates by age, sex, and race for US counties using decennial census data as starting and ending populations. The estimates have been downloaded tens of thousands of times and widely used for planning, diverse applications, and research. Census 2020 should allow the series to extend through the 2010–2020 decade. The accuracy of new estimates, however, could be challenged by differentially private (DP) disclosure avoidance techniques in Census 2020 data products. This research brief estimates the impact of DP implementation on the accuracy of county-level net migration estimates. Using differentially private Census 2010 demonstration data, we construct a hypothetical set of DP migration estimates for 2000–2010 and compare them to published estimates, using common accuracy metrics and spatial analysis. Findings show that based on demonstration data released in 2020, net migration estimates by five-year age groups would only be accurate enough for use in about half of counties. Inaccuracies are larger in counties with populations less than 50,000, among age groups 65 and over, and among Hispanics. These problems are not fully resolved by grouping into broader age groups. Moreover, errors tend to cluster spatially in some regions of the country. Ultimately, the ability to generate accurate net migration estimates at the same level of detail as in the past will depend on the Census Bureau’s allocation of the privacy loss budget.


Modern Italy ◽  
2009 ◽  
Vol 14 (2) ◽  
pp. 167-181 ◽  
Author(s):  
Guido Legnante ◽  
Paolo Segatti

This article is focused on one of the most relevant novelties in the Italian electoral market of the past decade: the emerging phenomenon of intermittent abstentionism. Rather than an increase in overall abstentionism rates, aggregate and survey data show a clear increase in the number of floating voters who swing between voting and non-voting. After a description of the characteristics of intermittent abstensionists, the article discusses the relationship between different electoral systems at different levels of government and territorial differentiation as far as voting participation is concerned. It then discusses the impact of intermittent abstentionism on the results of the 2006 general election where the parties’ electoral campaigns appear to have been aimed at mobilising intermittent abstensionists. The article concludes with some considerations of the Italian electoral cycle, particularly in relation to the changes generated by the run-up to the 2008 elections.


Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 302
Author(s):  
Liam McNabb ◽  
Robert S. Laramee

Maps are one of the most conventional types of visualization used when conveying information to both inexperienced users and advanced analysts. However, the multivariate representation of data on maps is still considered an unsolved problem. We present a multivariate map that uses geo-space to guide the position of multivariate glyphs and enable users to interact with the map and glyphs, conveying meaningful data at different levels of detail. We develop an algorithm pipeline for this process and demonstrate how the user can adjust the level-of-detail of the resulting imagery. The algorithm features a unique combination of guided glyph placement, level-of-detail, dynamic zooming, and smooth transitions. We present a selection of user options to facilitate the exploration process and provide case studies to support how the application can be used. We also compare our placement algorithm with previous geo-spatial glyph placement algorithms. The result is a novel glyph placement solution to support multi-variate maps.


Author(s):  
Hamid Sharifi ◽  
Yunes Jahani ◽  
Ali Mirzazadeh ◽  
Milad Ahmadi Gohari ◽  
Mehran Nakhaeizadeh ◽  
...  

AbstractBackgroundIran is one of the countries that has been overwhelmed with COVID-19. We aimed to estimate the total number of COVID-19 related infections, deaths, and hospitalizations in Iran under different physical distancing and isolation scenarios.MethodsWe developed a Susceptible-Exposed-Infected-Removed (SEIR) model, parameterized to the COVID-19 pandemic in Iran. We used the model to quantify the magnitude of the outbreak in Iran and assess the effectiveness of isolation and physical distancing under five different scenarios (A: 0% isolation, through E: 40% isolation of all infected cases). We used Monte-Carlo simulation to calculate the 95% uncertainty intervals (UI).FindingsUnder scenario A, we estimated 5,196,000 (UI 1,753,000 - 10,220,000) infections to happen till mid-June with 966,000 (UI 467,800 - 1,702,000) hospitalizations and 111,000 (UI 53,400 - 200,000) deaths. Successful implantation of scenario E would reduce the number of infections by 90% (i.e. 550,000) and change the epidemic peak from 66,000 on June 9th to 9,400 on March 1st. Scenario E also reduces the hospitalizations by 92% (i.e. 74,500), and deaths by 93% (i.e. 7,800).InterpretationWith no approved vaccination or therapy, we found physical distancing and isolation that includes public awareness and case-finding/isolation of 40% of infected people can reduce the burden of COVID-19 in Iran by 90% by mid-June.FundingWe received no funding for this work.Research in contextEvidence before this studyIran has been heavily impacted by the COVID-19 outbreak, and the virus has now spread to all of its provinces. Iran has been implementing different levels of partial physical distancing and isolation policies in the past few months. We searched PubMed and preprint archives for articles published up to April 15, 2020 that included information about control measures against COVID-19 in Iran using the following terms: (“coronavirus” OR “2019-nCoV” OR “COVID-19”) AND “Iran” AND (“intervention” OR “prevention” OR “physical distancing” OR “social distancing”). We found no studies that had quantified the impact of policies in Iran.Added value of this studyGiven the scarcity of evidence on the magnitude of the outbreak and the burden of COVID-19 in Iran, we used multiple sources of data to estimate the number of COVID-19 infections, hospitalizations, and deaths under different physical distancing and isolation scenarios until mid-June. We showed that implementing no control measures could lead to over five million infections in Iran; ∼19% of whom would be hospitalized, and ∼2% would die. However, under our most optimistic scenario, these estimates could be reduced by ∼90%.Implications of all the available evidenceWith no effective vaccination or treatment, advocating and enforcing physical distancing and isolation along with public education on prevention measures could significantly reduce the burden of COVID-19 in Iran. Nonetheless, even under the most optimistic scenario, the burden of COVID-19 would be substantial and well beyond the current capacity of the healthcare system in Iran.


2020 ◽  
Vol 1 ◽  
pp. 1-20
Author(s):  
Michel Krämer ◽  
Ralf Gutbell ◽  
Hendrik M. Würz ◽  
Jannis Weil

Abstract. We present a cloud-based approach to transform arbitrarily large terrain data to a hierarchical level-of-detail structure that is optimized for web visualization. Our approach is based on a divide-and-conquer strategy. The input data is split into tiles that are distributed to individual workers in the cloud. These workers apply a Delaunay triangulation with a maximum number of points and a maximum geometric error. They merge the results and triangulate them again to generate less detailed tiles. The process repeats until a hierarchical tree of different levels of detail has been created. This tree can be used to stream the data to the web browser. We have implemented this approach in the frameworks Apache Spark and GeoTrellis. Our paper includes an evaluation of our approach and the implementation. We focus on scalability and runtime but also investigate bottlenecks, possible reasons for them, as well as options for mitigation. The results of our evaluation show that our approach and implementation are scalable and that we are able to process massive terrain data.


2018 ◽  
Vol 15 (3) ◽  
pp. 58-60 ◽  
Author(s):  
Constanza Caneo ◽  
Jorge Calderón

Over the past few decades, the emergence of evidence-based practice medicine (EBP) has allowed a change in the integration of knowledge with policy making and health service development, and Chile has been influenced by EBP with no exemption. In this paper, we will describe the impact of the EBP model at different levels of the Chilean health system, including the development of national clinical guidelines, medical training and in-patient involvement in health awareness.


When GST was implemented in India in the year 2017, there was a sea of change in the way in which tax was collected. In the Distribution process where there was different levels of partners involved there was collection of taxes in different stages which was followed till the implementation of GST. In this case study in order to familiarize the students with the evolution of the GST system and the impact of it on the channel partners we are looking at the case of Mr.Kumar , he had started his distribution agency Pitambar Distributors in 1986 the tax structure for a distributor in India had - value added tax, octroi and service tax .In 2006 the first step towards the implementation of GST - Goods and Services Tax was taken which became a reality and came into being by July 2017.The Post GST Scenario changed the playing field for FMCG companies which automatically reflected on their channel members namely distributers like Pitamber Industries. In this context with the data available from Pitambar agencies in the past year Mr.Kumar has to now rethink his strategies and decide whether to continue in the same business or not. This case can be used to identify the impact of GST on The FMCG Sector, Chart the progress of GST till date, to familiarize students regarding distribution processes and the implication of GST on the same, to identify impact on sales of different category of FMCG products after the implementation of GST


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