O desempenho terminológico dos descritores em Ciência da Informação do Vocabulário Controlado do SIBi/USP nos processos de indexação manual, automática e semi-automática

The terminological performance of the descriptors representing the Information Science domain in the SIBI/USP Controlled Vocabulary was evaluated in manual, automatic and semi-automatic indexing processes. It can be concluded that, in order to have a better performance (i.e., to adequately represent the content of the corpus), current Information Science descriptors of the SIBi/USP Controlled Vocabulary must be extended and put into context by means of terminological definitions so that information needs of users are fulfilled.

Um método semi-automatizado para elicitação de requisitos de acessibilidade Web

In the context of Software Engineering, web accessibility is gaining more room, establishing itself as an important quality attribute. This fact is due to initiatives of institutions such as the W3C (World Wide Web Consortium) and the introduction of norms and laws such as Section 508 that underlie the importance of developing accessible Web sites and applications. Despite these improvements, the lack of web accessibility is still a persistent problem, and could be related to the moment or phase in which this requirement is solved within the development process. From the moment when Web accessibility is generally regarded as a programming problem or treated when the application is already developed entirely. Thus, consider accessibility already during activities of analysis and requirements specification shows itself a strategy to facilitate project progress, avoiding rework in advanced phases of software development because of possible errors, or omissions in the elicitation. The objective of this research is to develop a method and a tool to support requirements elicitation of web accessibility. The strategy for the requirements elicitation of this method is grounded by the Goal-Oriented approach NFR Framework and the use of catalogs NFRs, created based on the guidelines contained in WCAG 2.0 (Web Content Accessibility Guideline) proposed by W3C

A study on automatic methods based on mathematical morphology for Martian dust devil tracks detection

This paper presents three methods for automatic detection of dust devils tracks in images of Mars. The methods are mainly based on Mathematical Morphology and results of their performance are analyzed and compared. A dataset of 21 images from the surface of Mars representative of the diversity of those track features were considered for developing, testing and evaluating our methods, confronting their outputs with ground truth images made manually. Methods 1 and 3, based on closing top-hat and path closing top-hat, respectively, showed similar mean accuracies around 90% but the time of processing was much greater for method 1 than for method 3. Method 2, based on radial closing, was the fastest but showed worse mean accuracy. Thus, this was the tiebreak factor. © 2011 Springer-Verlag.

The influence of subpixel measurement on digital camera calibration

The aim of this work is to evaluate the influence of point measurements in images, with subpixel accuracy, and its contribution in the calibration of digital cameras. Also, the effect of subpixel measurements in 3D coordinates of check points in the object space will be evaluated. With this purpose, an algorithm that allows subpixel accuracy was implemented for semi-automatic determination of points of interest, based on Fõrstner operator. Experiments were accomplished with a block of images acquired with the multispectral camera DuncanTech MS3100-CIR. The influence of subpixel measurements in the adjustment by Least Square Method (LSM) was evaluated by the comparison of estimated standard deviation of parameters in both situations, with manual measurement (pixel accuracy) and with subpixel estimation. Additionally, the influence of subpixel measurements in the 3D reconstruction was also analyzed. Based on the obtained results, i.e., on the quantification of the standard deviation reduction in the Inner Orientation Parameters (IOP) and also in the relative error of the 3D reconstruction, it was shown that measurements with subpixel accuracy are relevant for some tasks in Photogrammetry, mainly for those in which the metric quality is of great relevance, as Camera Calibration.

Detecção da área e extração do campo em imagens de impressão digital

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Extração semi-automática de rodovias no espaço-objeto: uso integrado de um estéreo par de imagens aéreas e um MDT

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Extração de rodovias utilizando SNAKES

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Extração semi-automática de edificações com análise do modelo numérico de elevações

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Comparative in vitro evaluation of forage legumes (prosopis, acacia, atriplex, and leucaena) on ruminal fermentation and methanogenesis

Two experiments in vitro were conducted to evaluate four Egyptian forage legume browses, i.e., leaves of prosopis (Prosopis juliflora), acacia (Acacia saligna), atriplex (A triplex halimus), and leucaena (Leucaena leucocephala), in comparison with Tifton (Cynodon sp.) grass hay for their gas production, methanogenic potential, and ruminal fermentation using a semi-automatic system for gas production (first experiment) and for ruminal and post ruminal protein degradability (second experiment). Acacia and leucaena showed pronounced methane inhibition compared with Tifton, while prosopis and leucaena decreased the acetate:propionate ratio (P<0.01). Acacia and leucaena presented a lower (P<0.01) ruminal NH3-N concentration associated with the decreasing (P<0.01) ruminal protein degradability. Leucaena, however, showed higher (P<0.01) intestinal protein digestibility than acacia. This study suggests that the potential methanogenic properties of leguminous browses may be related not only to tannin content, but also to other factors.

Methodologische Untersuchungen zur Veränderung sahelischer Überschwemmungsgebiete mittels Fernerkundung - Fallbeispiel Nigerbinnendelta (Mali) -

ZUSAMMENFASSUNG Langzeitbeobachtungsstudien zur Landschaftsdynamik inSahelländern stehen generell einem defizitären Angebot anquantitativen Rauminformationen gegenüber. Der in Malivorgefundene lokal- bis regionalräumliche Datenmangelführte zu einer methodologischen Studie, die die Entwicklungvon Verfahren zur multi-temporalen Erfassung und Analyse vonLandschaftsveränderungsdaten beinhaltet. Für den RaumWestafrika existiert in großer Flächenüberdeckunghistorisches Fernerkundungsmaterial in Form hochauflösenderLuftbilder ab den 50er Jahren und erste erdbeobachtendeSatellitendaten von Landsat-MSS ab den 70er Jahren.Multitemporale Langzeitanalysen verlangen zur digitalenReproduzierbarkeit, zur Datenvergleich- undObjekterfaßbarkeit die a priori-Betrachtung derDatenbeschaffenheit und -qualität. Zwei, ohne verfügbare, noch rekonstruierbareBodenkontrolldaten entwickelte Methodenansätze zeigen nichtnur die Möglichkeiten, sondern auch die Grenzen eindeutigerradiometrischer und morphometrischerBildinformationsgewinnung. Innerhalb desÜberschwemmungsgunstraums des Nigerbinnendeltas im ZentrumMalis stellen sich zwei Teilstudien zur Extraktion vonquantitativen Sahelvegetationsdaten den radiometrischen undatmosphärischen Problemen:1. Präprozessierende Homogenisierung von multitemporalenMSS-Archivdaten mit Simulationen zur Wirksamkeitatmosphärischer und sensorbedingter Effekte2. Entwicklung einer Methode zur semi-automatischenErfassung und Quantifizierung der Dynamik derGehölzbedeckungsdichte auf panchromatischenArchiv-Luftbildern Die erste Teilstudie stellt historischeLandsat-MSS-Satellitenbilddaten für multi-temporale Analysender Landschaftsdynamik als unbrauchbar heraus. In derzweiten Teilstudie wird der eigens, mittelsmorphomathematischer Filteroperationen für die automatischeMusterkennung und Quantifizierung von Sahelgehölzobjektenentwickelte Methodenansatz präsentiert. Abschließend wird die Forderung nach kosten- undzeiteffizienten Methodenstandards hinsichtlich ihrerRepräsentativität für die Langzeitbeobachtung desRessourceninventars semi-arider Räume sowie deroperationellen Transferierbarkeit auf Datenmaterial modernerFernerkundungssensoren diskutiert.

Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration

In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates are proven to provide a reliable source of information for achieving an accurate characterization of biological tissues through the ultrasound echo. The second topic involves the definition of a semi automatic algorithm for myocardium segmentation in 2D echocardiographic images. The results show that the proposed method can reduce inter- and intra observer variability in myocardial contours delineation and is feasible and accurate even on clinical data.

Eisströme und Schelfeise an der Küste der Amundsen See (West-Antarktis), beobachtet mit ERS-SAR /// Es stehen 2 Dateien zur Auswahl: pdf-Datei Abbildungen nur schwarz-weiss, zip-Datei Abbildungen farbig

In der vorliegenden Diplomarbeit erfolgte die Beobachtung von Eisströmen und Schelfeisen an der Küste der Amundsen See in der West-Antarktis, unter Verwendung von ERS-SAR-Amplitudenbildprodukten. Bestandteile dieser Beobachtung waren die Erstellung eines Gletscherinventares, die Erstellung von Multitemporalbildern, die Auswertung von Veränderungen der Eisfronpositionen und - schwerpunktmäßig - die Bestimmung von Eisfließgeschwindigkeiten und deren räumlicher und zeitlicher Vergleich.

From fall-risk assessment to fall detection: inertial sensors in the clinical routine and daily life

Falls are caused by complex interaction between multiple risk factors which may be modified by age, disease and environment. A variety of methods and tools for fall risk assessment have been proposed, but none of which is universally accepted. Existing tools are generally not capable of providing a quantitative predictive assessment of fall risk. The need for objective, cost-effective and clinically applicable methods would enable quantitative assessment of fall risk on a subject-specific basis. Tracking objectively falls risk could provide timely feedback about the effectiveness of administered interventions enabling intervention strategies to be modified or changed if found to be ineffective. Moreover, some of the fundamental factors leading to falls and what actually happens during a fall remain unclear. Objectively documented and measured falls are needed to improve knowledge of fall in order to develop more effective prevention strategies and prolong independent living. In the last decade, several research groups have developed sensor-based automatic or semi-automatic fall risk assessment tools using wearable inertial sensors. This approach may also serve to detect falls. At the moment, i) several fall-risk assessment studies based on inertial sensors, even if promising, lack of a biomechanical model-based approach which could provide accurate and more detailed measurements of interests (e.g., joint moments, forces) and ii) the number of published real-world fall data of older people in a real-world environment is minimal since most authors have used simulations with healthy volunteers as a surrogate for real-world falls. With these limitations in mind, this thesis aims i) to suggest a novel method for the kinematics and dynamics evaluation of functional motor tasks, often used in clinics for the fall-risk evaluation, through a body sensor network and a biomechanical approach and ii) to define the guidelines for a fall detection algorithm based on a real-world fall database availability.

Automatic risk evaluation in elderly patients based on Autonomic Nervous System assessment

Dysfunction of Autonomic Nervous System (ANS) is a typical feature of chronic heart failure and other cardiovascular disease. As a simple non-invasive technology, heart rate variability (HRV) analysis provides reliable information on autonomic modulation of heart rate. The aim of this thesis was to research and develop automatic methods based on ANS assessment for evaluation of risk in cardiac patients. Several features selection and machine learning algorithms have been combined to achieve the goals. Automatic assessment of disease severity in Congestive Heart Failure (CHF) patients: a completely automatic method, based on long-term HRV was proposed in order to automatically assess the severity of CHF, achieving a sensitivity rate of 93% and a specificity rate of 64% in discriminating severe versus mild patients. Automatic identification of hypertensive patients at high risk of vascular events: a completely automatic system was proposed in order to identify hypertensive patients at higher risk to develop vascular events in the 12 months following the electrocardiographic recordings, achieving a sensitivity rate of 71% and a specificity rate of 86% in identifying high-risk subjects among hypertensive patients. Automatic identification of hypertensive patients with history of fall: it was explored whether an automatic identification of fallers among hypertensive patients based on HRV was feasible. The results obtained in this thesis could have implications both in clinical practice and in clinical research. The system has been designed and developed in order to be clinically feasible. Moreover, since 5-minute ECG recording is inexpensive, easy to assess, and non-invasive, future research will focus on the clinical applicability of the system as a screening tool in non-specialized ambulatories, in order to identify high-risk patients to be shortlisted for more complex investigations.

Validity of an automatic measure protocol in distal femur for allograft selection from a three-dimensional virtual bone bank system

Osteoarticular allograft is one possible treatment in wide surgical resections with large defects. Performing best osteoarticular allograft selection is of great relevance for optimal exploitation of the bone databank, good surgery outcome and patient’s recovery. Current approaches are, however, very time consuming hindering these points in practice. We present a validation study of a software able to perform automatic bone measurements used to automatically assess the distal femur sizes across a databank. 170 distal femur surfaces were reconstructed from CT data and measured manually using a size measure protocol taking into account the transepicondyler distance (A), anterior-posterior distance in medial condyle (B) and anterior-posterior distance in lateral condyle (C). Intra- and inter-observer studies were conducted and regarded as ground truth measurements. Manual and automatic measures were compared. For the automatic measurements, the correlation coefficients between observer one and automatic method, were of 0.99 for A measure and 0.96 for B and C measures. The average time needed to perform the measurements was of 16 h for both manual measurements, and of 3 min for the automatic method. Results demonstrate the high reliability and, most importantly, high repeatability of the proposed approach, and considerable speed-up on the planning.