27 research outputs found
From LIDAR data towards HBIM for energy analysis
No full textKnowledge about heritage buildings and structures is interesting for a wide variety of stakeholders,
ranging from architects to operators or the public administration. Such knowledge includes a large
variety of physical and functional characteristics of the building. Laser scanning allows efficient and
accurate 3D digitalization of heritage sites and subsequent data processing towards the creation of
geometrically and semantically rich models.
Parameterization and semantic enrichment of heritage building representations towards the creation
of Heritage Building Information Models (HBIM) generally involves the use of point clouds
and images as templates for manual mapping procedures in commercial software. Indeed, the information
to include in BIM models depends on the requirements of the application it is intended to
serve. In view of that, the applications presented in this chapter pertain to automated techniques
that were implemented to parameterize point clouds towards models suitable for energy analysis
purposes.
The challenge in automating the reconstruction of heritage buildings is to deal with their geometrical
complexity and irregularity, meaning that the methodologies selected should be robust and
efficient under these conditions. The resulting 3D semantically rich model enhances the knowledge
of the heritage building, complementing other representations of the facility such as point clouds or
handmade HBIM. The procedure is implemented and validated in a real case study: the Ducal Palace
in Guimarães (Portugal).The authors would like to thank the Ministerio de Economía y Competitividad (Gobierno de
España) for the financial support given through their human resources grant (FPU AP2010–2969,
ENE2013–48015-C3–1-R).
IACOBUS program and by FCT (Portuguese Foundation for Science and Technology), within
ISISE, project UID/ECI/04029/2013. The authors would also like to thank all the institutions and
companies that have been involved in supporting and contributing to the development of this study,
in particular, Isabel Fernandes and Flávio Vieira, director and staff member of Bragança Ducal Palace.
Research of the second and fourth author is supported by a National Priority Research Program
NPRP award (NPRP-06–1208–2–492) from the Qatar National Research Fund (a member of the
Qatar Foundation). The statements made herein are solely the responsibility of the authors.info:eu-repo/semantics/publishedVersio
Evaluation of dependability of MAC and routing protocols in personal networks
No full textIn this project we have investigated how to enable dependable routing inside personal network (PN )cluster.Dependable routing among different clusters is out of the scope of this thesis.In practice, personal network cluster is considered as mobile ad-hoc network (MANET) with heterogeneous radioaccess technologies and nodes with different capabilities(processingpower,batterylevel,etc.) Although a single proposal for dependable routing inside the personal networks cluster could span over all OSI layers, but we considered only the network and mediumaccess control (MAC)layrs.TelecommunicationsElectrical Engineering, Mathematics and Computer Scienc
Heritage Planning: Adaptation of the “Old & New Approach” Towards Estblishing Conservation Areas in Metropolitan Cities
No full textAbstractThe conservation of historic buildings and areas is important to enhance urban fabric, as the overall deterioration of the urban environment in old cities, is due to the decline of traditional activities, the deteriorated housing condition, and the emergence of metropolitan areas due to foreign influences. As a result, the sense of belonging is losing its basic source which is the image of the city, as modern cities cannot maintain a well-defined identity of their fabric, while historic buildings and sites should act as vivid tourist attractions. Consequently, a new approach has to emerge to deal with such chaotic status
Poetry as Spiritual Interpretation of Islamic Architecture & Ancient Egyptians Temples
No full textAbstractIn 1251i.e. before the Mathnavi was begun Mevlana's friend, the minister Jalaluddin Qaratay, founded the Qaratay madrasa, a small edifice which, in – Anne Marie Schemmile opinion, better reflects the character of the Mathnavi than any rational explanation could do.Erzen has proved that aesthetic consciousness at the ottoman culture and artistic product of art & architecture, miniature, painting, literature and music is a traditional product rather as a creation of art. (ERZEN, 1991)Jalāl ad-Dīn Muhammad Rūmī also known as Mevlânâ, Mevlevî (1207-1273) has often tried to solve the riddle of the relation between words and meaning, of experience and expression, in several ways returns to the feeling that words are merely dust on the mirror of “experience’, dust brought forth from the movement of the broom “tongue’, and the true meaning, the “soul of the story’
Prevalence of community acquired infections in down syndrome children: a single center study
No full textExpression of Fas (CD95) and Bcl-2 in peripheral blood mononuclear cells in patients with chronic HCV and schistosomiasis
No full textAbstractA high incidence of viral persistence and progression to chronic hepatitis are characteristic features of HCV infection. The aim of this case control study was to investigate the expression of the apoptosis related proteins Fas (CD95) and Bcl-2 in peripheral blood mononuclear cells (PBMCs) from patients with chronic HCV and schistosomiasis, and to evaluate their contribution in the development and maintenance of the different clinical forms of these diseases. The level of Fas and Bcl-2 expression in PBMCs was detected using flow cytometry in 85 cases in this study, including chronic HCV (40 patients) and schistosomiasis (25 patients) in addition to 20 healthy controls. Results showed that the increased apoptotic level correlated with increased Fas expression on the surface of PBMCs in chronic HCV patients (p = 0.001) which did not show increased expression of the anti-apoptotic factor Bcl-2 (p = 0.19). Apoptotic PBMCs in intestinal schistosomiasis patients showed increased expression of Fas (p = 0.001) but again did not exhibit a difference in Bcl-2 expression (p = 0.61) when compared to either hepatoplenic schistosomiasis or control patients. The Fas expression was highly significant in HCV > schistosomiasis > control (p < 0.002) while non-significant difference was found between the 3 groups as regards to Bcl-2 expression (p > 0.12). It was concluded that the detection of apoptosis of PBMCs in patients with chronic HCV was associated with increased expression of apoptotic markers in comparison with schistosomiasis patients, which may be an indicator of disease progression and severity. Modulation of this process may offer valuable methods of HCV therapy
Generated Prediction Data of COVID-19's Daily Infections in Brazil
No full textVersion 3 important changes:- Added a compressed file for all files and folders.- Change in license.Dataset general description:• This dataset reports 4195 recurrent neural network models, their settings, and their generated prediction csv files, graphs, and metadata files, for predicting COVID-19's daily infections in Brazil by training on limited raw data (30 time-steps and 40 time-steps alternatives). The used code is developed by the author and located in the following online data repository link:http://dx.doi.org/10.17632/yp4d95pk7n.1Dataset content: • Models, Graphs, and csv predictions files: 1. Deterministic mode (DM): includes 1194 generated models' files (30 time-steps), and their generated 2835 graphs and 2835 predictions files. Similarly, this mode includes 1976 generated models' files (40 time-steps), and their generated 7301 graphs and 7301 predictions files. 2. Non-deterministic mode (NDM): includes 20 generated models' files (30 time-steps), and their generated 53 graphs and 53 predictions files. 3. Technical validation mode (TVM): includes 1001 generated models' files (30 time-steps), and their generated 3619 graphs and 3619 predictions files for 349 models (out of a 358 sample but 9 models didn't achieve the accuracy threshold), which are a sample of 1001 models. Also, 1 model in control group for India. 4. 1 graph and 1 prediction files for each of DM and NDM, reporting evaluation till 2020-07-11.• Settings and metadata for the above 3 categories: 1. Used settings in json files for reproducibility. 2. Metadata about training and prediction setup and accuracy in csv files.Raw data source that was used to train the models:• The used raw data [1] for training the models is from: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University) : https://github.com/CSSEGISandData/COVID-19 (accessed 2020-07-20)• The models were trained on these versions of the raw data: 1. till 2020-06-29 (accessed 2020-07-08):https://github.com/CSSEGISandData/COVID-19/raw/78d91b2dbc2a26eb2b2101fa499c6798aa22fca8/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv 2. till 2020-06-13 (accessed 2020-07-08):https://github.com/CSSEGISandData/COVID-19/raw/02ea750a263f6d8b8945fdd3253b35d3fd9b1bee/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv References: 1- Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
The Eastern Necropolis in Cairo and its Buffer Zone (Towards a Sustainable Conservation Strategy)
No full textAbstractThe Eastern Necropolis is part of the World Heritage property of Historic Cairo in the URHC 2010-2012. It underlies a diversity of forces that lead to urban informality and ruins the sky line of Old Historic Cairo. Applying a sustainable conservation strategy will supposedly stop further slum formation and achieve urban equality. The research is divided into: 1)Pilot study, 2) Field Work and Survey; Evaluation for the study zone and creating a Base Map for the Eastern Necropolis, 3) Documentary studies; Conservation of heritage areas as an approach to regional planning, 4)Research results and final conclusion
Generated Prediction Data of COVID-19's Daily Infections in Brazil
No full textDataset general description:• This dataset reports 4200 recurrent neural network models, their settings, and their relevant generated files (including prediction csv files, graphs, and metadata files, as applicable), for predicting COVID-19's daily infections in Brazil by training on limited raw data (30 and 40 time-steps). The used code is developed by the author and located in the following online data repository link:http://dx.doi.org/10.17632/yp4d95pk7n.3Dataset content: • Models, Graphs, and csv predictions files: 1. Deterministic mode (DM): includes 1197 generated models' files (30 time-steps), and their generated 2835 graphs and 2835 predictions files. Similarly, this mode includes 1976 generated models' files (40 time-steps), and their generated 7301 graphs and 7301 predictions files. 2. Non-deterministic mode (NDM): includes 20 generated models' files (30 time-steps), and their generated 53 graphs and 53 predictions files. 3. Technical validation mode (TVM): includes 1001 generated models' files (30 time-steps), and their generated 3619 graphs and 3619 predictions files for 349 models (out of a 358 sample but 9 models didn't achieve the accuracy threshold), which are a sample of 1001 models. Also, all data of the control group - India (1 model). 4. 1 graph and 1 prediction files for each of DM and NDM, reporting evaluation till 2020-07-11. 5. The evaluation of performance for 10, 20, 30, 40, and 50 time-steps alternatives (5 models).• Settings and metadata for the above 3 categories: 1. Used settings during the training session in json files. 2. Metadata: training / prediction setup and accuracy in csv files.Raw data source used to train the models:• The used raw data [1] for training the models is from: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University) : https://github.com/CSSEGISandData/COVID-19 (accessed 2020-07-20)• The following raw data links were used (both accessed 2020-07-08): 1. till 2020-06-29:https://github.com/CSSEGISandData/COVID-19/raw/78d91b2dbc2a26eb2b2101fa499c6798aa22fca8/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv 2. till 2020-06-13:https://github.com/CSSEGISandData/COVID-19/raw/02ea750a263f6d8b8945fdd3253b35d3fd9b1bee/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv References: 1- Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
