scholarly journals A Case Study of Participatory Data Transfer for Urban Temperature Monitoring

2011 ◽  
pp. 50-63
Author(s):  
Houtan Shirani-Mehr ◽  
Farnoush Banaei-Kashani ◽  
Cyrus Shahabi ◽  
Lin Zhang
Keyword(s):  
Data Transfer ◽  
Temperature Monitoring

scholarly journals BUILDING FACADE DOCUMENTATION USING LASER SCANNING AND PHOTOGRAMMETRY AND DATA IMPLEMENTATION INTO BIM

2016 ◽  
Vol XLI-B3 ◽  
pp. 215-220
Author(s):  
M. Faltýnová ◽  
E. Matoušková ◽  
J. Šedina ◽  
K. Pavelka
Keyword(s):  
Spatial Data ◽  
Laser Scanning ◽  
Data Transfer ◽  
Cost Savings ◽  
Cost Effective ◽  
Building Information Modelling ◽  
Building Facades ◽  
Building Information ◽  
Building Level

A project started last year called MORE-CONNECT, which focuses on the renovation of buildings (especially building facades) using prefabricated elements. The aim of this project is to create a competitive solution consisting of a technology and processes which enable fast, cost-effective renovation with minimal difficulties to inhabitants. Significant cost savings in renovation costs lies in the usage of prefabricated elements and the reduction of construction works on site. The precision of the prefabricated element depends on the precision of the construction, project and building documentation. This article offers an overview of the possible methods for building documentation and spatial data transfer into BIM (Building Information Modelling) software. The description of methods focuses on laser scanning and photogrammetry (including RPAS based), its advantages, disadvantages and limitations according to the documented building, level of renovation, situation on site etc. The next part involves spatial data transfer into BIM software. A proposed solution is tested in a case study.

scholarly journals WATER TEMPERATURE MONITORING IN EASTERN CANADA: A CASE STUDY FOR NETWORK OPTIMIZATION

2018 ◽  
Author(s):  
ANDRÉ ST-HILAIRE ◽  
CLAUDINE BOYER ◽  
NORMAND BERGERON ◽  
ANIK DAIGLE
Keyword(s):  
Water Temperature ◽  
Network Optimization ◽  
Temperature Monitoring ◽  
Eastern Canada

scholarly journals Online modelling of water distribution systems: a UK case study

2010 ◽  
Vol 3 (1) ◽  
pp. 21-27 ◽  
Author(s):  
J. Machell ◽  
S. R. Mounce ◽  
J. B. Boxall
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Data Transfer ◽  
Simulation Models ◽  
Distribution Networks ◽  
Water Supply Systems ◽  
Full Potential ◽  
Operational Conditions ◽  
The Impact

Abstract. Hydraulic simulation models of water distribution networks are routinely used for operational investigations and network design purposes. However, their full potential is often never realised because, in the majority of cases, they have been calibrated with data collected manually from the field during a single historic time period and, as such, reflect the network operational conditions that were prevalent at that time, and they are then applied as part of a reactive, desktop investigation. In order to use a hydraulic model to assist proactive distribution network management its element asset information must be up to date and it should be able to access current network information to drive simulations. Historically this advance has been restricted by the high cost of collecting and transferring the necessary field measurements. However, recent innovation and cost reductions associated with data transfer is resulting in collection of data from increasing numbers of sensors in water supply systems, and automatic transfer of the data to point of use. This means engineers potentially have access to a constant stream of current network data that enables a new era of "on-line" modelling that can be used to continually assess standards of service compliance for pressure and reduce the impact of network events, such as mains bursts, on customers. A case study is presented here that shows how an online modelling system can give timely warning of changes from normal network operation, providing capacity to minimise customer impact.

scholarly journals The Miiyupimatisiiun Research Data Archives Project

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Naomi Adelson ◽  
Samuel Mickelson ◽  
Joshua J. Kawapit
Keyword(s):  
Data Transfer ◽  
Research Data ◽  
First Nation ◽  
Full Control ◽  
Data Archives ◽  
Medical Anthropologist ◽  
History Of ◽  
The Relationship

The Miiyupimatisiiun Research Data Archives Project (MRDAP) is a digitization and data transfer initiative between medical anthropologist Naomi Adelson and the Whapmagoostui First Nation (FN) in the territory of Eeyou Istchee (in northern Quebec). This report provides an overview of phase one of the MRDAP from three distinct perspectives: the researcher, the archivist, and the community. The authors discuss the history of the relationship between Adelson and the Whapmagoostui FN, the digitization process, and the work that is required to transfer the digitized materials to the community for access and safekeeping. The report also foregrounds how the project team is working to ensure that the community has full control over how the data is managed, stored, accessed, and preserved over the long term. The report provides a case study on how Indigenous data sovereignty is being negotiated in the context of one community.

scholarly journals Fast computation of the iteration-based simulation method - case study of non-coherent ask with shadowing

2017 ◽  
Vol 14 (3) ◽  
pp. 415-431 ◽  
Author(s):  
Vladimir Mladenovic ◽  
Sergey Makov ◽  
Yigang Cen ◽  
Miroslav Lutovac
Keyword(s):  
Numerical Methods ◽  
Probability Density ◽  
Communication Systems ◽  
Data Transfer ◽  
Joint Probability ◽  
Simulation Method ◽  
Wireless Communication Systems ◽  
Closed Form Solutions ◽  
The Impact

This article presents a new method of fast symbolic computations of very complex calculations, which are necessary for the analysis, simulation, and design of wireless communication systems using CAS (Computer Algebra System). CAS is applied to formulate hypotheses and define joint probability density functions of certain modulation technique. This is used to prepare for the semi-symbolic calculation to complete specify wireless system by using CAS. We have developed an iteration-based simulation method that aids to solve semisymbolic expressions and gives closed form solutions (with some parameters specified as numbers and some as symbols). So far, they are solved by numerical methods. Students can perform performance analysis and understand the processes in the data transfer. Engineers and researchers may have a better insight into the impact of the important parameters necessary to properly transmit and detect information unlike traditional numerical methods. The main contribution is to obtain solutions for the probability density function, and outage probability where no solution can be obtained using numerical methods. A strong emphasis is placed on very fast calculations that significantly save the time of analysis, simulation, and design.

scholarly journals A Privacy-Oriented Local Web Learning Analytics JavaScript Library with a Configurable Schema to Analyze Any Edtech Log: Moodle’s Case Study

2021 ◽  
Vol 13 (9) ◽  
pp. 5085
Author(s):  
Daniel Amo ◽  
Sandra Cea ◽  
Nicole Marie Jimenez ◽  
Pablo Gómez ◽  
David Fonseca
Keyword(s):  
Data Analysis ◽  
Data Transfer ◽  
Third Party ◽  
Educational Institutions ◽  
Student Identity ◽  
Privacy Concerns ◽  
Front End ◽  
Educational Role ◽  
And Storage

Educational institutions are transferring analytics computing to the cloud to reduce costs. Any data transfer and storage outside institutions involve serious privacy concerns, such as student identity exposure, rising untrusted and unnecessary third-party actors, data misuse, and data leakage. Institutions that adopt a “local first” approach instead of a “cloud computing first” approach can minimize these problems. The work aims to foster the use of local analytics computing by offering adequate nonexistent tools. Results are useful for any educational role, even investigators, to conduct data analysis locally. The novelty results are twofold: an open-source JavaScript library to analyze locally any educational log schema from any LMS; a front-end to analyze Moodle logs as proof of work of the library with different educational metrics and indicator visualizations. Nielsen heuristics user experience is executed to reduce possible users’ data literacy barrier. Visualizations are validated by surveying teachers with Likert and open-ended questions, which consider them to be of interest, but more different data sources can be added to improve indicators. The work reinforces that local educational data analysis is feasible, opens up new ways of analyzing data without data transfer to third parties while generating debate around the “local technologies first” approach adoption.

scholarly journals Adapting data management education to support clinical research projects in an academic medical center

2019 ◽  
Vol 107 (1) ◽  
Author(s):  
Kevin B. Read
Keyword(s):  
Best Practices ◽  
Clinical Research ◽  
Data Management ◽  
Data Transfer ◽  
Medical Center ◽  
Academic Medical Center ◽  
Research Process ◽  
Academic Medical ◽  
Collaborative Training

Background: Librarians and researchers alike have long identified research data management (RDM) training as a need in biomedical research. Despite the wealth of libraries offering RDM education to their communities, clinical research is an area that has not been targeted. Clinical RDM (CRDM) is seen by its community as an essential part of the research process where established guidelines exist, yet educational initiatives in this area are unknown.Case Presentation: Leveraging the author’s academic library’s experience supporting CRDM through informationist grants and REDCap training in our medical center, we developed a 1.5 hour CRDM workshop. This workshop was designed to use established CRDM guidelines in clinical research and address common questions asked by our community through the library’s existing data support program. The workshop was offered to the entire medical center 4 times between November 2017 and July 2018. This case study describes the development, implementation, and evaluation of this workshop.Conclusions: The 4 workshops were well attended and well received by the medical center community, with 99% stating that they would recommend the class to others and 98% stating that they would use what they learned in their work. Attendees also articulated how they would implement the main competencies they learned from the workshop into their work. For the library, the effort to support CRDM has led to the coordination of a larger institutional collaborative training series to educate researchers on best practices with data, as well as the formation of institution-wide policy groups to address researcher challenges with CRDM, data transfer, and data sharing.

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