Scope Project

2019 ◽  
pp. 617-619
Keyword(s):  
Scope Project

scholarly journals Microclimate Analysis as a Design Driver of Architecture

Climate ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 72 ◽  
Author(s):  
Jonathan Graham ◽  
Umberto Berardi ◽  
Geoffrey Turnbull ◽  
Robert McKaye
Keyword(s):  
Thermal Comfort ◽  
Architectural Design ◽  
Global Climate ◽  
Outdoor Thermal Comfort ◽  
Climate Index ◽  
Design Office ◽  
Scope Project ◽  
Thermal Climate ◽  
Design Options ◽  
Indoor And Outdoor

In the context of global climate change, it is increasingly important for architects to understand the effects of their interventions on indoor and outdoor thermal comfort. New microclimate analysis tools which are gaining appreciation among architects enable the assessment of different design options in terms of biometeorological parameters, such as the Universal Thermal Climate Index (UTCI) and the Outdoor Thermal Comfort Autonomy. This paper reflects on some recent experiences of an architectural design office attempting to incorporate local climatic considerations as a design driver in projects. The investigation shows that most of the available tools for advanced climatic modelling have been developed for research purposes and are not optimized for architectural and urban design; consequently, they require adaptations and modifications to extend their functionality or to achieve interoperability with software commonly used by architects. For this scope, project-specific Python scripts used to extract design-consequential information from simulation results, as well as to construct meteorological boundary conditions for microclimate simulations, are presented. This study describes the obstacles encountered while implementing microclimate analysis in an architectural office and the measures taken to overcome them. Finally, the benefits of this form of analysis are discussed.

MO-F-134-02: Project-Based Learning - Expanding Course Content with a Broad-Scope Project

2013 ◽  
Vol 40 (6Part25) ◽  
pp. 413-413
Author(s):  
R Howell ◽  
S Kry ◽  
U Titt
Keyword(s):  
Project Based Learning ◽  
Course Content ◽  
Broad Scope ◽  
Scope Project

The Determination of Relevant Contextual Factors for the Interpretation of Intervention Studies: a Stepwise Approach with Online Information (Preprint)

2020 ◽  
Author(s):  
Michael Van der Elst ◽  
Birgitte Schoenmakers ◽  
Eva Dierckx ◽  
Liesbeth De Donder ◽  
Ellen De Roeck ◽  
...  
Keyword(s):  
Intervention Studies ◽  
Contextual Factors ◽  
Local Context ◽  
Future Research ◽  
Online Information ◽  
Web Based ◽  
Stepwise Approach ◽  
Scope Project ◽  
Set Up ◽  
Public Datasets

BACKGROUND The role of the context within intervention studies is often ignored. To consider the context in future research, one needs to know whether enough information is available, and a uniform methodology to study the local context in a standardized way is desirable. Through the World Wide Web, a lot of information is nowadays available. OBJECTIVE The present study aims to test the feasibility of studying the local context with online information and to provide a stepwise approach how to detect these relevant contextual factors which might moderate the effect of an intervention. METHODS The present study is framed within the D-SCOPE project, where a complex intervention by means of home visits was set up to improve the access to tailored care in 3 municipalities (Ghent, Knokke-Heist and Tienen). A case study of these three municipalities was performed to determine which contextual factors could influence the D-SCOPE intervention, a five-step approach was designed and tested: (1) a theoretical/conceptual discussion of relevant contextual factor domains was held; (2) a search was done to find appropriate web-based public datasets which covered these topics with standardized information (e.g., official statistics); (3) a list of all identified contextual factors was made (inventory); (4) a concise list with the assumedly most relevant contextual factors was made by two independent reviewers to reduce the long list of contextual factors+; and (5) a Nominal Grouping Technique was applied. RESULTS Based on the aims of the D-SCOPE intervention, the research team decided that the datasets should cover sociodemographic contextual factors, socioeconomic contextual factors, contextual factors related to care supply/availability or care use and contextual factors related to the local government. The team also decided to use only standardized data. Three public web-based datasets were found resulting in an inventory of 157 contextual factors. After the selection by two independent reviewers, 41 contextual factors were left over and presented in the Nominal Grouping Technique. According to the Nominal Grouping Technique, contextual factors such as: dependency ratio (65+/20-64y), availability of a community center, percentage of people aged 65 or more living alone, and the total resources of the community social security system were considered as most decisive. CONCLUSIONS The present study shows that the five-step approach is feasible to determine relevant contextual factors that might affect the results of an intervention study. Such information may be used to correct for in the statistical analyses and for interpretation of the outcomes of intervention studies. CLINICALTRIAL none

ASTRONOMY: Europe Joins Forces in Push for Monster Scope Project

Science ◽  
2005 ◽  
Vol 309 (5734) ◽  
pp. 553-553 ◽  
Author(s):  
G. Schilling
Keyword(s):  
Scope Project

scholarly journals A Lossless Compression Approach Based on Delta Encoding and T-RLE in WSNs

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Abdeldjalil Saidani ◽  
Xiang Jianwen ◽  
Deloula Mansouri
Keyword(s):  
Data Compression ◽  
Power Saving ◽  
Data Communication ◽  
Lossless Compression ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Limited Capacity ◽  
Wireless Sensor Nodes ◽  
Scope Project ◽  
Capacity Data

The sending/receiving of data (data communication) is the most power consuming in wireless sensor networks (WSN) since the sensor nodes are depending on batteries not generally rechargeable characterized by limited capacity. Data compression is among the techniques that can help to reduce the amount of the exchanged data between wireless sensor nodes resulting in power saving. Nevertheless, there is a lack of effective methods to improve the efficiency of data compression algorithms and to increase nodes’ energy efficiency. In this paper, we proposed a novel lossless compression approach based on delta encoding and two occurrences character solving (T-RLE) algorithms. T-RLE is an optimization of the RLE algorithm, which aims to improve the compression ratio. This method will lead to less storage cost and less bandwidth to transmit the data, which positively affects the sensor nodes’ lifetime and the network lifetime in general. We used real deployment data (temperature and humidity) from the sensor scope project to evaluate the performance of our approach. The results showed a significant improvement compared with some traditional algorithms.

scholarly journals THE IMPORTANCE OF LOW SOCIAL LONELINESS FOR MAINTAINING GOOD WELL-BEING

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S578-S578
Author(s):  
Lise Switsers ◽  
Liesbeth De Donder ◽  
Eva Dierckx ◽  
Sarah Dury
Keyword(s):  
Older People ◽  
Life Events ◽  
Negative Relationship ◽  
Well Being ◽  
Community Dwelling ◽  
Subjective Well Being ◽  
Age Related ◽  
Scope Project ◽  
Loss Experience ◽  
Social Loneliness

Abstract Older people are often confronted with dependence, death of spouse and other loss experience. Nevertheless, older adults generally experience a good well-being. This lack of age-related decline of subjective well-being has been named the ‘paradox of ageing’. One possible explanation for this paradox can be found in the socio-emotional selectivity theory of Carstensen. Thus, we hypothesize that low emotional and/or low social loneliness can act as a buffer for the negative relationship between negative life events and well-being. We use data of the D-SCOPE project that includes 869 older community-dwelling adults at risk of frailty residing in Flanders. By means of regression moderating analyses the research gains insights into the relationships between older people and well-being where the absence of social loneliness is detected as a possible buffer against negative outcomes. The discussion develops the argument that the absence of loneliness is a crucial facet for maintaining a good well-being.

scholarly journals Airborne lidar reflectance measurements at 1.57 μm in support of the A-SCOPE mission for atmospheric CO<sub>2</sub>

2009 ◽  
Vol 2 (2) ◽  
pp. 755-772 ◽  
Author(s):  
A. Amediek ◽  
A. Fix ◽  
G. Ehret ◽  
J. Caron ◽  
Y. Durand
Keyword(s):  
Land Surface ◽  
Atmospheric Carbon Dioxide ◽  
Western Europe ◽  
Signal To Noise Ratio ◽  
Spatial Scales ◽  
Airborne Lidar ◽  
Measurement Sensitivity ◽  
Airborne Measurements ◽  
Wide Range ◽  
Scope Project

Abstract. The characteristics of the lidar reflectance of the Earth's surface is an important issue for the IPDA lidar technique (integrated path differential absorption lidar) which is the proposed method for the spaceborne measurement of atmospheric carbon dioxide within the framework of ESA's A-SCOPE project. Both, the absolute reflectance of the ground and its variations have an impact on the measurement sensitivity. The first aspect influences the instrument's signal to noise ratio, the second one can lead to retrieval errors, if the ground reflectance changes are strong on small scales. The investigation of the latter is the main purpose of this study. Airborne measurements of the lidar ground reflectance at 1.57 μm wavelength were performed in Central and Western Europe, including many typical land surface coverages as well as the open sea. The analyses of the data show, that the lidar ground reflectance is highly variable on a wide range of spatial scales. However, by means of the assumption of laser footprints in the order of several tens of meters, as planned for spaceborne systems, and by means of an averaging of the data it was shown, that this specific retrieval error is well below 1 ppm (CO2 column mixing ratio), and so compatible with the sensitivity requirements of spaceborne CO2 measurements. Several approaches for upscaling the data in terms of the consideration of larger laser footprints, compared to the one used here, are shown and discussed. Furthermore, the collected data are compared to MODIS ground reflectance data.

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