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Pre-Proceedings of the Cognitive Computation Symposium: Thinking Beyond Deep Learning (CoCoSym 2018) : Extended Abstracts/Speakers' Positions
A workshop on the gathering of information for problem formulation
Issued as Quarterly progress reports no. [1-5], Proceedings and Final contract report, Project no. G-36-651Papers presented at the Workshop/Symposium on Human Computer Interaction, March 26 and 27, 1981, Atlanta, G
User modeling In adaptive hypermedia educational systems
This document is a survey in the research area of User Modeling (UM) for the specific field of Adaptive
Learning. The aims of this document are: To define what it is a User Model; To present existing and well known
User Models; To analyze the existent standards related with UM; To compare existing systems. In the scientific
area of User Modeling (UM), numerous research and developed systems already seem to promise good results,
but some experimentation and implementation are still necessary to conclude about the utility of the UM. That
is, the experimentation and implementation of these systems are still very scarce to determine the utility of some
of the referred applications. At present, the Student Modeling research goes in the direction to make possible
reuse a student model in different systems. The standards are more and more relevant for this effect, allowing
systems communicate and to share data, components and structures, at syntax and semantic level, even if most
of them still only allow syntax integration
Digital image correlation (DIC) analysis of the 3 December 2013 Montescaglioso landslide (Basilicata, Southern Italy). Results from a multi-dataset investigation
Image correlation remote sensing monitoring techniques are becoming key tools for
providing effective qualitative and quantitative information suitable for natural hazard assessments,
specifically for landslide investigation and monitoring. In recent years, these techniques have
been successfully integrated and shown to be complementary and competitive with more standard
remote sensing techniques, such as satellite or terrestrial Synthetic Aperture Radar interferometry.
The objective of this article is to apply the proposed in-depth calibration and validation analysis,
referred to as the Digital Image Correlation technique, to measure landslide displacement.
The availability of a multi-dataset for the 3 December 2013 Montescaglioso landslide, characterized
by different types of imagery, such as LANDSAT 8 OLI (Operational Land Imager) and TIRS
(Thermal Infrared Sensor), high-resolution airborne optical orthophotos, Digital Terrain Models
and COSMO-SkyMed Synthetic Aperture Radar, allows for the retrieval of the actual landslide
displacement field at values ranging from a few meters (2–3 m in the north-eastern sector of the
landslide) to 20–21 m (local peaks on the central body of the landslide). Furthermore, comprehensive
sensitivity analyses and statistics-based processing approaches are used to identify the role of the
background noise that affects the whole dataset. This noise has a directly proportional relationship to
the different geometric and temporal resolutions of the processed imagery. Moreover, the accuracy
of the environmental-instrumental background noise evaluation allowed the actual displacement
measurements to be correctly calibrated and validated, thereby leading to a better definition of
the threshold values of the maximum Digital Image Correlation sub-pixel accuracy and reliability
(ranging from 1/10 to 8/10 pixel) for each processed dataset
A review and comparison of ontology-based approaches to robot autonomy
Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.Peer ReviewedPostprint (author's final draft
Retaining Knowledge Through Organizational Action
The main goal of this study is to contribute to the understanding of knowledge retention in organisations. Knowledge retention relates to the storage of knowledge within organisations. The word \u27storage\u27, however, gives an erroneous impression of the active and dynamic way in which knowledge is manifested and retained within the organisation. Knowledge may be retained via documents, databases or within the culture and structure of the organisation. Knowledge can be held in one individual head, or be synthesised by groups. This book gives an account of research that investigated development of knowledge retention structures, the communication of knowledge and the protection and management of knowledge in three different sites in one organisation.https://research.acer.edu.au/saier/1010/thumbnail.jp
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