Monitoring the Assessment of Vernacular Buildings using an ICT Method

Nowadays, one of the main challenges in high levels of education, is to deal with ICT as a tool in teaching methodologies. This article aims to present some results of the use of an ICT platform as a tool in spatial analysis. It is focused on the study of vernacular architecture buildings, based on the case study of wooden house villages of Tagus river banks, in Portugal. This is the unique legacy in this country, of wooden vernacular architecture in areas submitted to regular floods. The main typology of these buildings refers to stilt-houses, which have their roots in the middle XIX century. Along the time, they have been subjected to a degradation process caused by the lack of repair actions, driving to an aggravation of their status of conservation, or caused by repair actions, driving to an aggravation of their distance to the vernacular architectural matrix. Consequently, there are less than one hundred buildings remaining in five villages. The used ICT tool refers to the software DECMAvi, which is an evaluation method of buildings, designed on purposes to analyse two criteria of these territories of vernacular architecture; the status of buildings conservation and their level of proximity to the vernacular architectural matrix. This method was tested firstly in 2014 and then in 2016, and the results are allowing to obtain results coming from a comparative analysis during this period of time, in order to know if the buildings are better, worst or in same condition, and from a spatial analysis in between the considered villages and their vernacular buildings.info:eu-repo/semantics/publishedVersio

Spatio-temporal adaptive sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner

In-line dimensional inspection of free form surfaces using robotic 3D-optical scanners provide an opportunity to reduce the mean-time-to-detection of product quality defects and has thus emerged as a critical enabler in Industry 4.0 to achieve near-zero defects. However, the time needed to inspect large industrial size sheet metal parts by 3D-optical scanners frequently exceeds the production cycle time (CT), consequently, limiting the application of in-line measurement systems for high production volume manufacturing processes such as those used in the automotive industry. This paper addresses the aforementioned challenge by developing the Spatio-Temporal Adaptive Sampling (STAS) methodology which has the capability for (i) estimation of whole part deviations based on partial measurement of a free form surface; and, (ii) adaptive selection of the next region to be measured in order to satisfy pre-defined measurement criterion. This is achieved by first, modelling spatio-temporal correlations in the high dimensional Cloud-of-Points measurement data by using a dimension reduced space-time Kalman filter; then, dynamically updating the model parameters during the inspection process by incorporating partial measurement data to predict entire part deviations and adaptively choose the next critical region of the part to be measured

Correlation methods for the analysis of X-ray polarimetric signals

X-ray polarimetric measurements are based on studying the distribution of the directions of scattered photons or photoelectrons and on the search of a sinusoidal modulation with a period of {\pi}. We developed two tools for investigating these angular distributions based on the correlations between counts in phase bins separated by fixed phase distances. In one case we use the correlation between data separated by half of the bin number (one period) which is expected to give a linear pattern. In the other case, the scatter plot obtained by shifting by 1/8 of the bin number (1/4 of period) transforms the sinusoid in a circular pattern whose radius is equal to the amplitude of the modulation. For unpolarized radiation these plots are reduced to a random point distribution centred at the mean count level. This new methods provide direct visual and simple statistical tools for evaluating the quality of polarization measurements and for estimating the polarization parameters. Furthermore they are useful for investigating distortions due to systematic effects

Guidelines for testing and release procedures

Guidelines and procedures are recommended for the testing and release of the types of computer software efforts commonly performed at NASA/Ames Research Center. All recommendations are based on the premise that testing and release activities must be specifically selected for the environment, size, and purpose of each individual software project. Guidelines are presented for building a Test Plan and using formal Test Plan and Test Care Inspections on it. Frequent references are made to NASA/Ames Guidelines for Software Inspections. Guidelines are presented for selecting an Overall Test Approach and for each of the four main phases of testing: (1) Unit Testing of Components, (2) Integration Testing of Components, (3) System Integration Testing, and (4) Acceptance Testing. Tools used for testing are listed, including those available from operating systems used at Ames, specialized tools which can be developed, unit test drivers, stub module generators, and the use of format test reporting schemes

Use of remote sensing for land use policy formulation

Uses of remote sensing imagery were investigated based on exploring and evaluating the capability and reliability of all kinds of imagery for improving decision making on issues of land use at all scales of governmental administration. Emphasis was placed on applications to solving immediate problems confronting public agencies and private organizations. Resulting applications of remote sensing use by public agencies, public organizations, and related private corporations are described

For multidisciplinary research on the application of remote sensing to water resources problems

Research on the application of remote sensing to problems of water resources was concentrated on sediments and associated nonpoint source pollutants in lakes. Further transfer of the technology of remote sensing and the refinement of equipment and programs for thermal scanning and the digital analysis of images were also addressed

Researching Across Two Cultures: Shifting Positionality

Embodied and creative research methods provoke honesty, emotion, and vulnerability in participants, which add to the richness of the stories they tell and are willing to share. The positionality of the researcher is less of “interviewer” and more “co-producer” or participant in a dialogue. Visual and creative approaches invite participants to share in ways in which they are not able or willing through words alone. The data and outputs they produce, with film, art, or objects, can in turn affect those who see it more than written text and need to be analysed and disseminated along with more traditional transcripts, articles, and presentations. In the context of investigating sensitive issues such as those around embodied identity, these methods, which use embodied methods to explore embodied research questions, may feel the most appropriate. These approaches lie along the boundary of therapy and research, asking much of researchers who are unlikely to have received therapeutic training or ongoing support. Due to this deficit, the researched may find that their experience is not held or contained in a way that the content would demand. Similarly, the data themselves lie on the boundary of art and research, in that they can be seen as more than a tool to facilitate reflection, but as artifacts in their own right. What are the implications in this scenario? Where should we position ourselves and our work along these boundaries? Who holds the space for the researcher and the researched if both are made vulnerable