scholarly journals Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada

2019 ◽  
Vol 19 (9) ◽  
pp. 2039-2051
Author(s):  
Maja Kucharczyk ◽  
Chris H. Hugenholtz
Keyword(s):  
British Columbia ◽  
Real Time ◽  
Urban Area ◽  
Building Collapse ◽  
Real Time Kinematic ◽  
Building Facades ◽  
Building Representation ◽  
Disaster Mapping

Abstract. We report a case study using drone-based imagery to develop a pre-disaster 3-D map of downtown Victoria, British Columbia, Canada. This represents the first drone mapping mission over an urban area approved by Canada's aviation authority. The goal was to assess the quality of the pre-disaster 3-D data in the context of geospatial accuracy and building representation. The images were acquired with a senseFly eBee Plus fixed-wing drone with real-time kinematic/post-processed kinematic functionality. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-gimbaled camera was insufficient for capturing building facades.

scholarly journals Pre-disaster mapping with drones: an urban case study in Victoria, BC, Canada

2018 ◽  
Author(s):  
Maja Kucharczyk ◽  
Chris H. Hugenholtz
Keyword(s):  
British Columbia ◽  
Real Time ◽  
Urban Area ◽  
Building Collapse ◽  
3D Data ◽  
Building Facades ◽  
Building Representation ◽  
Disaster Mapping

Abstract. We report a case study using drone-based imagery to develop a pre-disaster 3D map of downtown Victoria, British Columbia, Canada. This represents the first drone mapping mission over an urban area approved by Canada’s aviation authority. The goal was to assess the quality of the pre-disaster 3D data in the context of geospatial accuracy and building representation. The images were acquired with a senseFly eBee Plus fixed-wing drone with real-time kinematic/post-processed kinematic functionality. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-gimbaled camera was insufficient for capturing building facades.

THE SIGNIFICANCE OF NATURAL AND SERENE ENVIRONMENT TO IMPROVE THE QUALITY OF LIVING IN TINY HOMES

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Murni Zainal ◽  
Azhan Abdul Aziz
Keyword(s):  
Case Studies ◽  
Urban Area ◽  
Well Being ◽  
Prototype Model ◽  
Quantitative Methodology ◽  
Supportive Environment ◽  
Detached House ◽  
Quality Of Living

Tiny homes are defined as a small dwelling in the form of a moveable unit, cabin or detached house which is sized to meet its occupants’ needs. Besides affordability, sustainability and minimalist lifestyle, the occupants’ demand for a cosy environment with a window or porch overlooking a garden. The objectives of the study are to investigate the benefits of utilising nature and serenity in promoting a supportive environment to achieve user well-being. Quantitative methodology was applied in this study using three case studies (CS1 at Urban area: Prototype Model of Microhouse, CS2 at Sub urban area: The Cabin Boutique Resort and SC3 at Outskirts area: Meraki Tiny House). The tool, ``Perceived Sensory Dimensions “(PSDs)” was used for respondents to evaluate the surrounding environment of the case studies by showing photos of two sensory dimension models (PSDs Nature and Serene). Close-ended questionnaires were distributed to the 21 respondents from the millennials group, to rate each perception for each case study. The results have shown that a natural and serene environment for CS3 is most preferred because of the aspirational quality of its PSDs, followed by CS2 and CS1.

Monitoring of the Inorganic Pollutants in Built Indoor Environment

2017 ◽  
Vol 68 (1) ◽  
pp. 85-89
Author(s):  
Vasilica Vasile ◽  
Alina Dima ◽  
Mihaela Ion
Keyword(s):  
Nitric Oxide ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Real Time ◽  
Urban Area ◽  
Indoor Air ◽  
Indoor Environment ◽  
Gaseous Pollutants ◽  
Inorganic Pollutants

The paper presents the results of the monitoring of the inorganic gaseous pollutants such as nitric oxide (NO), sulfur dioxide (SO2), ozone (O3), carbon oxides (CO, CO2), from indoor air of four office spaces, located in urban area of Bucharest � Romania, by using the equipment that detected and recorded, in real time, the concentrations of the compounds. The study aimed to obtain useful information on air quality from office spaces, and for the awareness of acute necessity for action to improve the quality of the indoor environment in which we live and work.

scholarly journals On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy

2021 ◽  
Author(s):  
Tommaso Alberti ◽  
Davide Faranda
Keyword(s):  
Real Time ◽  
Asymptotic Distributions ◽  
Quality Of Data ◽  
Asymptomatic Patients ◽  
Italian Regions ◽  
Extreme Care ◽  
Linear Nature

<p>While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts of the epidemics pushes fits of dynamical and statistical models to available data beyond their capabilities. Here we focus on statistical predictions of COVID-19 infections performed by fitting asymptotic distributions to actual data. By taking as a case-study the epidemic evolution of total COVID-19 infections in Chinese provinces and Italian regions, we find that predictions are characterized by large uncertainties at the early stages of the epidemic growth. Those uncertainties significantly reduce after the epidemics peak is reached. Differences in the uncertainty of the forecasts at a regional level can be used to highlight the delay in the spread of the virus. Our results warn that long term extrapolation of epidemics counts must be handled with extreme care as they crucially depend not only on the quality of data, but also on the stage of the epidemics, due to the intrinsically non-linear nature of the underlying dynamics. These results suggest that real-time epidemiological projections should include wide uncertainty ranges and urge for the needs of compiling high-quality datasets of infections counts, including asymptomatic patients.</p><p>Alberti T. and Faranda D. (2020) <span>On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy. <em>Commun. Nonlin. Sci. Num. Sim.</em>, <strong>90</strong>, 105372.</span></p>

scholarly journals Pengaruh Persepsi Wajib Pajak atas Penerapan E-Filing dan Persepsi Wajib Pajak atas Kualitas Sistem E-Filing Terhadap Kepatuhan Pajak

2019 ◽  
Vol 3 (1) ◽  
pp. 208-216
Author(s):  
Anisa Widya Larasati ◽  
Dyah Probowulan ◽  
Achmad Syahfrudin
Keyword(s):  
Real Time ◽  
Quantitative Methods ◽  
Annual Report ◽  
Tax Compliance ◽  
Primary Data ◽  
System Quality ◽  
Filing System ◽  
Directorate General

E-Filing is a system for the achievement of annual report letters (SPT) which is done online and in real time to the Directorate General of Taxes through the official website of the Directorate General of Taxes. This study aims to examine the effect of perceptions of taxpayers on the application of E-filing and perceptions of taxpayers on the quality of e-filing systems for tax compliance in the Jember Pratama KPP case study. This research uses quantitative methods. The number of samples used is 100 taxpayers who use the e-Filing system. The data used in this study are primary data in the form of questionnaires distributed to taxpayer respondents. The results in this study indicate that taxpayer perceptions affect tax compliance and the quality of the e-Filing system has no effect on tax compliance. Keywords: E-Filling, Perception, E-Filing System Quality, Complaints

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