scholarly journals BIMcpd: A Combined Toolkit for Constraint Checking, Performance Evaluation and Data Management in Building Renovation Projects

Proceedings ◽  
2021 ◽  
Vol 65 (1) ◽  
pp. 32
Author(s):  
Brian O’Regan ◽  
Eoin O’Leidhin ◽  
Farah Tahir ◽  
Karen Mould ◽  
Stephen O’Donovan ◽  
...  

Effective and efficient building renovations require significant data management and analysis. The ability to store, analyse, and display this data in a user-friendly way can play an important role in easing the process. The tools developed by authors of this paper during their work in the BIM4EEB research project are contained in three distinct intuitive applications that will allow users to (a) find recommended positions for HVAC, lighting, and other devices; (b) analyse data from sensors, energy bills, and other sources (weather for example); and (c) manage the data that they have on the above and create new data sets that they can share with other tools.

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
B Vignesh Kumar ◽  
S Backiyarani ◽  
A Chandrasekar ◽  
S Saranya ◽  
D Ramajayam ◽  
...  

Abstract Improvement of edible bananas (a triploid and sterile crop) through conventional breeding is a challenging task owing to its recalcitrant nature for seed set, prolonged crop duration. In addition, the need of huge man power at different stages of progeny development and evaluation often leads to mislabeling, poor data management and loss of vital data. All this can be overcome by the application of advanced information technology source. This ensured secure and efficient data management such as storage, retrieval and data analysis and further could assist in tracking the breeding status in real time. Thus, a user-friendly web-based banana breeding tracker (BBT) has been developed using MySQL database with Hypertext Preprocessor (PHP). This BBT works on all operating systems with access to multiple users from anywhere at any time. Quick responsive (QR) code labels can be generated by the tracker, which can be decoded using QR scanner. Also for each and every updated progress in breeding stages, a new QR code can be generated, which in turn reduce labeling errors. Moreover, the tracker has additional tools to search, sort and filter the data from the data sets for efficient retrieval and analysis. This tracker is being upgraded with phenotypic and genotypic data that will be made available in the public domain for hastening the banana improvement program.


2015 ◽  
Vol 49 (4) ◽  
pp. 494-512 ◽  
Author(s):  
Constanze Curdt ◽  
Dirk Hoffmeister

Purpose – Research data management (RDM) comprises all processes, which ensure that research data are well-organized, documented, stored, backed up, accessible, and reusable. RDM systems form the technical framework. The purpose of this paper is to present the design and implementation of a RDM system for an interdisciplinary, collaborative, long-term research project with focus on Soil-Vegetation-Atmosphere data. Design/methodology/approach – The presented RDM system is based on a three-tier (client-server) architecture. This includes a file-based data storage, a database-based metadata storage, and a self-designed user-friendly web-interface. The system is designed in cooperation with the local computing centre, where it is also hosted. A self-designed interoperable, project-specific metadata schema ensures the accurate documentation of all data. Findings – A RDM system has to be designed and implemented according to requirements of the project participants. General challenges and problems of RDM should be considered. Thus, a close cooperation with the scientists obtains the acceptance and usage of the system. Originality/value – This paper provides evidence that the implementation of a RDM system in the provided and maintained infrastructure of a computing centre offers many advantages. Consequently, the designed system is independent of the project funding. In addition, access and re-use of all involved project data is ensured. A transferability of the presented approach to another interdisciplinary research project was already successful. Furthermore, the designed metadata schema can be expanded according to changing project requirements.


1980 ◽  
Vol 19 (01) ◽  
pp. 37-41
Author(s):  
R. F. Woolson ◽  
M. T. Tsuang ◽  
L. R. Urban

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.


Author(s):  
Florian Wieser ◽  
Sarah Stryeck ◽  
Konrad Lang ◽  
Christoph Hahn ◽  
Gerhard Thallinger ◽  
...  

1994 ◽  
Vol 33 (04) ◽  
pp. 390-396 ◽  
Author(s):  
J. G. Stewart ◽  
W. G. Cole

Abstract:Metaphor graphics are data displays designed to look like corresponding variables in the real world, but in a non-literal sense of “look like”. Evaluation of the impact of these graphics on human problem solving has twice been carried out, but with conflicting results. The present experiment attempted to clarify the discrepancies between these findings by using a complex task in which expert subjects interpreted respiratory data. The metaphor graphic display led to interpretations twice as fast as a tabular (flowsheet) format, suggesting that conflict between earlier studies is due either to differences in training or to differences in goodness of metaphor, Findings to date indicate that metaphor graphics work with complex as well as simple data sets, pattern detection as well as single number reporting tasks, and with expert as well as novice subjects.


2021 ◽  

Abstract The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analyzing and interpreting research can be overwhelming. Statistical Analysis System (SAS®) is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic insttutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book contains 21 chapters that covers experimental designs and data analysis protocols; is presented as a how-to guide with many examples; includes freely downloadable data sets; and examines key topics such as ANOVA, mean separation, non-parametric analysis and linear regression.


2018 ◽  
Vol 16 (1) ◽  
pp. 144-150
Author(s):  
Md Ashraful Alam ◽  
Anwar Hossen ◽  
AKM Saiful Islam ◽  
Monjurul Alam

Harvesting is one of the major labor intensive works in rice cultivation. Appropriate harvesting machinery is urgently needed to reduce labor and production costs. Production cost of rice becomes high due to labor shortage and high wage rate during harvesting time. Techno-economic performance of Korean self-propelled reaper (KR), China self-propelled reaper (CR) and BRRI reaper (BR) were evaluated in order to identify the field constrains and problems of the reapers at Mithapukur of Rangpur, Bangladesh during Aman season of 2013. The actual field capacities of the KR, CR and BR were found 0.18, 0.17 and 0.15 ha h–1with the corresponding field efficiency of 55, 68 and 56%, respectively. The variation of field capacity among the models was due to turning time losses, weight of the reaper and operator’s skill. The fuel consumption of the reapers was 4.11, 2.61 and 8.39 l ha–1 for KR, CR and BR, respectively. The shattering loss of paddy harvesting was 1.66, 1.50 and 1.45% for KR, CR and BR, respectively. The break-even area of the reapers was 9.15, 7.82 and 8.43 ha yr-1 for KR, CR and BR, respectively. It is evident that the reaper could be used successfully as labor saving and user friendly technology to eliminate post-harvest problems in Bangladesh.J. Bangladesh Agril. Univ. 16(1): 144-150, April 2018


Author(s):  
Norah Jean-Charles ◽  
Paola Spoletini

This research is being conducted to provide requirements analysts with a supportive tool to use during elicitation interviews. In these interviews that were conducted as part of the overall project, stakeholders were asked a series of questions while wearing the Empatica E4 wristband and being recorded through various voice recording platforms. As a part of an ongoing research project, stakeholders have been interviewed using voice recordings and the Empatica E4 wristband to gather biofeedback data. Requirements analyst need support during elicitation interviews because of the ambiguity that arises during communication making it harder to collect proper requirements. In order to provide features such as visualizing the biofeedback collected from the Empatica E4 wristband and the voice waves, questions such as how to create a user-friendly application and how to synchronize the biofeedback and voice data must be researched. In conclusion, creating this mobile application would to assist requirements analysts in carrying out assessments during elicitation interviews.


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