117,328 research outputs found
Development of digital twin models supporting ambient assisted living
No full textWorld population aging requires finding solutions to
improve independent living options. Ambient Assisted
Living (AAL) is making step forward developing services
supporting the elderly, but the implementation of
predictive environments is still far away.
Besides, the emerging Digital Twin (DT) concept has
begun to shape the first cognitive environments that
integrate users into assessments, improving efficiency,
prevention, and prediction of likely events through realtime
AI computing.
This paper aims to provide a prototype of a Cognitive
Building framework based on DT models that develop
high-level knowledge to achieve real-time Scenario
Awareness and offer appropriate AAL services once
anomalies are detected
Development of augmented BIM models for built environment management
No full textTraditional surveys in the built environment are time-consuming and usually result in enormous amounts of data, that are difficult to manage and contains bias. Therefore, BIM modeling of both geometries and related information leads to inconsistent, incomplete, or the other way around highly detailed models that need to be reworked afterwards, slowing the design process. The proposed methodology combines point cloud surveying technique, photogrammetry, and BIM within a game engine platform to define a workflow for an incremental model semantic enrichment that leads to an augmented BIM environment. The case study prototype allows stepwise accurate integration of detailed BIM objects by easing positioning them in the scene in accordance with the overlapped aligned images, giving the possibility of model enrichment only when it is required
Daily fluctuations of malate content and phospho-enolpyruvate carboxylase activity in stem chlorenchyma of cissus quadrangularis l
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Detection of phytoplasma infection in seed-bearing cabbage (Brassica oleracea var. capitata) in Marche region, Italy
No full textSquare Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
CDKN2A novel mutation in a patient from a melanoma-prone family
No full textCDKN2A Is thought to be the main candidate gene for melanoma susceptibility. Deletion or mutations in the CDKN2A gene may produce an imbalance between functional p16 and cyclin D, causing abnormal cell growth. We here describe a novel mutation consisting of a 1 bp deletion at nucleotide position 201 (codon 67) (CACGGcGCG) resulting in a truncated protein (stop codon 145). The patient, a female subject from a melanoma-prone family, presented at the age of 47 years with a superficial spreading melanoma of the trunk. Her father had colon cancer at the age of 43 years and melanoma at 63 years, her uncle suffered from gastric cancer, and her grandfather had laryngeal cancer. (C) 2001 Lippincott Williams & Wilkins
Seamless Augmented Reality Registration Supporting Facility Management Operations in Unprepared Environments
No full textDespite its great potential, Augmented Reality (AR) still struggles to be widely used in real processes in the construction industry. This is mainly due to limitations associated with current AR registration methodologies, including the lack of continuity between different scenarios, drifts over distances, and the need to prepare the scene in advance with alignment infrastructures and to resort to manual registration procedures. In addition, users may not be skilled enough or allowed to prepare the considered environment, since this is a task that requires a significant amount of measurement and calibration. To promote the application of AR in Facility Management (FM), which typically involves both complex indoor and outdoor environments, an automatic localization method is needed, thus providing accurate AR registration in mixed and unprepared environments. In order to fill this gap, a system implementing a markerless approach for seamless indoor-outdoor AR registration has been developed by integrating multiple AR registration engines with a cloud platform. These engines, primarily relying on Global Navigation Satellite Systems Real-Time Kinematic (GNSS-RTK) and Computer Vision (CV) technologies, are managed by an additional system component that automatically assigns priority depending on the current scenario. The system proposed in this study is tested on site on an FM use case related to a university campus for qualitative assessment. Furthermore, a quantitative assessment of the system’s accuracy is also performed. In both evaluations, the system shows very promising results in terms of (i) applicability for FM operations, and (ii) accuracy. Specifically, BIM holograms are automatically superimposed to their real counterparts seamlessly, in mixed indoor-outdoor scenarios, without manual procedures, demonstrating applicability of the proposed approach in unprepared environments. In terms of accuracy, the AR overlaying discrepancies in outdoor and indoor scenarios (D_(L-SQ)) result equals 0.090 m and 0.082 m with a maximum among all the analyzed scenes (D_M) of 0.075 m and 0.071 m, respectively. Given these results, the work presented in this paper provides a substantial contribution to the dissemination of AR technologies in the FM field and to the support of FM activities in terms of better coordination, visualization, communication and on-field access to high-quality information. This paper extends the work presented at the 23rd International Conference on Construction Applications of Virtual Reality (CONVR 2023)
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