12 research outputs found
COST292 experimental framework for TRECVID 2006
In this paper we give an overview of the four TRECVID tasks submitted by COST292, European network of institutions in the area of semantic multimodal analysis and retrieval of digital video media. Initially, we present shot boundary evaluation method based on results merged using a confidence measure. The two SB detectors user here are presented, one of the Technical University of Delft and one of the LaBRI, University of Bordeaux 1, followed by the description of the merging algorithm. The high-level feature extraction task comprises three separate systems. The first system, developed by the National Technical University of Athens (NTUA) utilises a set of MPEG-7 low-level descriptors and Latent Semantic Analysis to detect the features. The second system, developed by Bilkent University, uses a Bayesian classifier trained with a "bag of subregions" for each keyframe. The third system by the Middle East Technical University (METU) exploits textual information in the video using character recognition methodology. The system submitted to the search task is an interactive retrieval application developed by Queen Mary, University of London, University of Zilina and ITI from Thessaloniki, combining basic retrieval functionalities in various modalities (i.e. visual, audio, textual) with a user interface supporting the submission of queries using any combination of the available retrieval tools and the accumulation of relevant retrieval results over all queries submitted by a single user during a specified time interval. Finally, the rushes task submission comprises a video summarisation and browsing system specifically designed to intuitively and efficiently presents rushes material in video production environment. This system is a result of joint work of University of Bristol, Technical University of Delft and LaBRI, University of Bordeaux 1
Carbon-Based Smart Materials
ΠΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Adobe AcrobatPresents technologies and key concepts to produce suitable smart materials and intelligent structures for sensing, information and communication technology, biomedical applications (drug delivery, hyperthermia therapy), self-healing, flexible memories and construction technologies. Novel developments of environmental friendly, cost-effective and scalable production processes are discussed by experts in the field.Smart materials react to changes in their environment, like compact, low-power sensors that can detect stimuli e.g. toxic chemicals, bio-hazards or radiationPromising applications in the textile industry, biomedicine, construction technologiesΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ Π΄Π»Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ² ΠΈ ΡΡΡΡΠΊΡΡΡ Π΄Π»Ρ ΡΠ΅Π½ΡΠΎΡΠΈΠΊΠΈ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΈ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, Π±ΠΈΠΎΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΉ (Π΄ΠΎΡΡΠ°Π²ΠΊΠ° Π»Π΅ΠΊΠ°ΡΡΡΠ², Π³ΠΈΠΏΠ΅ΡΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ), ΡΠ°ΠΌΠΎΠ²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ, Π³ΠΈΠ±ΠΊΠΎΠΉ ΠΏΠ°ΠΌΡΡΠΈ ΠΈ ΡΡΡΠΎΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. ΠΠΊΡΠΏΠ΅ΡΡΡ Π² ΡΡΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π°ΡΡ Π½ΠΎΠ²ΡΠ΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ ΡΠΈΡΡΡΡ
, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΡΠ΅ΠΌΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ².Π£ΠΌΠ½ΡΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΡΠ΅Π°Π³ΠΈΡΡΡΡ Π½Π° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² ΠΎΠΊΡΡΠΆΠ°ΡΡΠ΅ΠΉ ΡΡΠ΅Π΄Π΅, ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΡΠΌ Π΄Π°ΡΡΠΈΠΊΠ°ΠΌ ΠΌΠ°Π»ΠΎΠΉ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ ΠΎΠ±Π½Π°ΡΡΠΆΠΈΠ²Π°ΡΡ ΡΠ°Π·Π΄ΡΠ°ΠΆΠΈΡΠ΅Π»ΠΈ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ ΡΠΎΠΊΡΠΈΡΠ½ΡΠ΅ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²Π΅ΡΠ΅ΡΡΠ²Π°, Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈΠ»ΠΈ ΡΠ°Π΄ΠΈΠ°ΡΠΈΡΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² ΡΠ΅ΠΊΡΡΠΈΠ»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ, Π±ΠΈΠΎΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π΅, ΡΡΡΠΎΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ
Innovative Data Management in advanced characterization: Implications for materials design
This paper describes a novel methodology of data documentation in materials characterization, which has as starting point the creation and usage of any Data Management Plan (DMP) for scientific data in the field of materials science and engineering, followed by the development and exploitation of ontologies for the harnessing of data created through experimental techniques. The case study that is discussed here is nanoindentation, a widely used method for the experimental assessment of mechanical properties on a small scale.The new documentation structure for characterization data (CHADA) is based on the definition of (i) sample, (ii) method, (iii) raw data and (iv) data analysis as the main component of the metadata associated to any characterization experiment. In this way, the relevant information can be stored inside the metadata associated to the experiment. The same methodology can be applicable to a large number of techniques that produce big amount of raw data, while at the same time it can be invaluable tool for big data analysis and for the creation of an open innovation environment, where data can be accessed freely and efficiently.Other fundamental aspects are reviewed in the paper, including the taxonomy and curation of data, the creation of ontology and classification of characterization techniques, the harnessing of data in open innovation environments via database construction along with the retrieval of information via algorithms. The issues of harmonization and standardization of such novel approaches are also critically discussed. Finally, the possible implications for nanomaterial design and the potential industrial impact of the new approach are described and a critical outlook is given
Nanomechanical properties of plasma treated polylactic acid
In this work, a radio frequency discharged plasma generated in air atmosphere by pressure has been used to modify polylactic acid (PLA) surface. The results were evaluated through nanoindentation testing. Contact angle measurements revealed a gradual transition to a more hydrophilic state with increasing polarity after plasma treatment, while partial recovery to their untreated state during 10 day storage in air was evidenced. The results were evaluated through nanoindentation testing. All PLA samples exhibited an almost hard-like surface area where hardness and elastic modulus are enhanced. The activity of the plasma creates a higher cross-linking density within the material in the surface region. For higher displacements, both H and E tend to reach pristine PLA's values. Hardness values reveal surface hardening due to plasma treatment except for 180 s etching time, where hardness is slightly decreased possibly due to surface deformation. The change of H/E slope reveals the strengthening of oxygen plasma etched PLA with 180 s of etching time with increasing displacement.Scopu
Metrology and nano-mechanical tests for nano-manufacturing and nano-bio interface: challenges & future perspectives
Nanometrology refers to measurement techniques that assess materials properties at the nanoscale. Laboratorybased
characterisation of nanomaterials has been the key enabler in the growth of nanotechnology and nanoenabled
products. Due to the small size involved, dimensional measurements has dominated such characterisation
underpinned by a tremendous development in stand-alone electron/ion microscopes and scanning probe
microscopes.
However, the scope of nanometrology extends far beyond off-site, laboratory-based measurements of dimensions
only, and is expected to have a tremendous impact on design of nano-enabled materials and devices.
In this article, we discuss some of the available techniques for laboratory-based characterisation of mechanical
and interfacial properties for nanometrology. We also provide a deep insight into the emerging techniques in
measuring these properties, keeping in view the need in advanced manufacturing and nanobio-interactions to
developmultifunctional instrumentation, traceable and standardizedmethods, andmodelling tools for unambiguous
data interpretation.
We also discuss the evaluation of nanomechanical properties and surface/interface response of materials, within
the purview of manufacturing processes and standardization
COST292 experimental framework for TRECVID 2006
In this paper we give an overview of the four TRECVID tasks submitted by COST292, European network of institutions in the area of semantic multimodal analysis and retrieval of digital video media. Initially, we present shot boundary evaluation method based on results merged using a confidence measure. The two SB detectors user here are presented, one of the Technical University of Delft and one of the LaBRI, University of Bordeaux 1, followed by the description of the merging algorithm. The high-level feature extraction task comprises three separate systems. The first system, developed by the National Technical University of Athens (NTUA) utilises a set of MPEG-7 low-level descriptors and Latent Semantic Analysis to detect the features. The second system, developed by Bilkent University, uses a Bayesian classifier trained with a "bag of subregions" for each keyframe. The third system by the Middle East Technical University (METU) exploits textual information in the video using character recognition methodology. The system submitted to the search task is an interactive retrieval application developed by Queen Mary, University of London, University of Zilina and ITI from Thessaloniki, combining basic retrieval functionalities in various modalities (i.e. visual, audio, textual) with a user interface supporting the submission of queries using any combination of the available retrieval tools and the accumulation of relevant retrieval results over all queries submitted by a single user during a specified time interval. Finally, the rushes task submission comprises a video summarisation and browsing system specifically designed to intuitively and efficiently presents rushes material in video production environment. This system is a result of joint work of University of Bristol, Technical University of Delft and LaBRI, University of Bordeaux 1
Reinforcement effects of multiwall carbon nanotubes and graphene oxide on PDMS marine coatings
Poly (dimethyl siloxane) (PDMS) is a model silicon elastomer used as marine fouling-release coating, because it meets the fouling-release zone conditions of the Baier curve. However, weak mechanical properties limit its use. In this aspect, incorporation of carbon nanoparticles into PDMS is a common method for improving its mechanical properties. Since effective dispersion of nanofillers into polymer matrices is a challenge, a major aim of this study was to examine the PDMS mechanical reinforcement by developing different dispersing methods of pristine MWCNTs into PDMS matrix. SEM images of nanocomposites prepared using dispersion methods 1 and 2 revealed the formation of aggregates which subsequently affected the overall mechanical performance of the samples. Also, the effect of p-MWCNTs content and nanoparticle type [carboxyl-functionalized-MWCNTs, graphene oxide (GO)] on the mechanical properties of the nanocomposites was evaluated. Incorporation of p-MWCNTs did not alter drastically the critical surface energy value of neat PDMS, which subsequently influenced antifouling and cleaning performance of nanoreinforced coatings. To evaluate antifouling and cleaning performance of the nanocomposite coatings, seawater immersion tests were conducted. In conclusion, MWCNTs and GO increased the mechanical strength of the matrix, whereas they contributed to a small extent to the improvement in antifouling and cleaning performance of the composites
Abstract
In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated in two tasks, highlevel feature extraction and search. We present our approaches for each of these activities and provide a brie