331 research outputs found
Flexible Patterns of Place for Function-based Search of Space (Short Paper)
No full textPlace is a human interpretation of space; it augments the latter with information related to human activities, services, emotions and so forth. Searching for places rather than traditional space-based search represents significant challenges. The most prevalent method of addressing place-related queries is based on placenames but has limited potential due to the vagueness of natural language and its tendency to lead to ambiguous interpretations. In previous work we proposed a system-oriented formalization of place that goes beyond placenames by introducing composition patterns of place. In this study, we introduce flexibility into these patterns in terms of what is necessarily or possibly included when describing the spatial composition of a place and propose a novel automated process of extracting these patterns relying on both theoretical and empirical knowledge. The proposed methodology is exemplified through the use case of locating all the shopping areas within London, UK
Assessment of reliability of multi-beam echo-sounder bathymetric uncertainty prediction models
No full textNowadays Multi-Beam Echo-Sounder (MBES) systems are used for obtaining information of the sea/river bed bathymetry and sediment composition. For the latter, use is usually made of the backscatter strength and depth derivatives, such as depth residuals. However, the depth derivatives are affected by the uncertainties inherent to the MBES varying with the sensors used, survey configuration and operational environment. Although models are available for the vertical uncertainty prediction, the question is how well these models can capture the estimated uncertainties of real observations. The present contribution addresses this issue by comparing the measured with modelled depth uncertainty accounting for the most recent insights of the error contributors. Data was acquired in water depths of around 2m, 10m and 30m with pulse lengths of 27 μs, 54 μs and 134 μs in the Oosterschelde estuary, the Netherlands, enabling the assessment of depth and pulse length dependence of the uncertainties. In general, the predicted and measured uncertainties are in the same order of magnitude. With increasing depth the discrepancy between the modelled and measured uncertainties increases. The effect of changing pulse length is found to be captured by the model, except for the angles close to nadir. The most dominant contributors to the vertical uncertainty are those induced by the angle of impact and range measurements. These contributors thus require further investigation to obtain a more realistic estimate of the vertical uncertainties.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Aircraft Noise and Climate Effect
Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference
No full textSearch-based test case generation approaches make use of static type information to determine which data types should be used for the creation of new test cases. Dynamically typed languages like JavaScript, however, do not have this type information. In this paper, we propose an unsupervised probabilistic type inference approach to infer data types within the test case generation process. We evaluated the proposed approach on a benchmark of 98~units under test (i.e., exported classes and functions) compared to random type sampling w.r.t. branch coverage. Our results show that our type inference approach achieves a statistically significant increase in 56% of the test files with up to 71% of branch coverage compared to the baseline.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Software Engineerin
Current Insights and Novel Cardiovascular Magnetic Resonance-Based Techniques in the Prognosis of Non-Ischemic Dilated Cardiomyopathy.
No full textCardiac magnetic resonance (CMR) imaging has an important emerging role in the evaluation and management of patients with cardiomyopathies, especially in patients with dilated cardiomyopathy (DCM). It allows a non-invasive characterization of myocardial tissue, thus assisting early diagnosis and precise phenotyping of the different cardiomyopathies, which is an essential step for early and individualized treatment of patients. Using imaging techniques such as late gadolinium enhancement (LGE), standard and advanced quantification as well as quantitative mapping parameters, CMR-based tissue characterization is useful in the differential diagnosis of DCM and risk stratification. The purpose of this article is to review the utility of CMR in the diagnosis and management of idiopathic DCM, as well as risk prediction and prognosis based on standard and emerging CMR contrast and non-contrast techniques. This is consistent with current evidence and guidance moving beyond traditional prognostic markers such as ejection fraction
Derrida and a Theory of Irony: Parabasis and Parataxis
No full textThis thesis presents a theory of structural irony gleaned from the irony theorised and performed in the texts of thinkers whose works operate on the border of the (non)propositional: Plato, Friedrich Schlegel, Maurice Blanchot, Paul de Man, Emmanuel Levinas and Jacques Derrida. While focusing on the irony performed in the texts of Jacques Derrida, and using his engagements with these thinkers as a frame, this is not a theory of “Derridean” irony, but an irony (primarily) elaborated through a deconstructive approach and vocabulary. Structural irony is seen to take the form of the transgressive step/counter-step of parabasis and the non-hierarchical disorder of parataxis. It is an anacoluthic force/weakness, and exhibits the conjunctive/disjunctive trait of hyphenation. It is neither of cynical, aesthetic distance nor humorous, parodic engagement, but is a productive movement of (impossible) negotiation between terms. Irony is an expression of the beyond, within, and this reworking of borders and limits is performed in the fragment/aphorism. The (ir)responsible step taken in Derrida’s texts is understood as a mode of structural irony, and it is proposed that the stylistic changes that occurred in Derrida’s “later” texts were in part due to the autoimmunity caused by an overexposure to the “laws of the interview”. Throughout the thesis styles that manipulate the unmasterable excesses of irony are investigated, and each chapter ends with a reading of one of Derrida’s more “literary” or “performative” texts, while recognising and playing with the falsity of such generic makers or divisions. Inscribing Derrida within a tradition of thinkers of the non-thetic both extends readings of that tradition and of irony itself, while affording a valuable way of approaching the “structures” within Derrida’s texts. Irony is not presented as the transcendental signifier of deconstruction, but as a profitable way of understanding deconstruction and its relation to other writers
Underwater Noise Generated By Offshore Pile Driving: A Pile-Soil-Water Vibroacoustic Model Based On A Mode Matching Method
No full textIn this paper, a pile-water-soil model is developed for the prediction of sound generated due to impact piling. The complete model consists of two modules: i) a near-source module aiming at the accurate description of the pile-water-soil interaction together with the sound generation and propagation in the vicinity of the pile; and ii) a far-from-source module aiming at the propagation of the wave field at larger distances. The input to the far-from-source module is provided by the near-source module through a boundary integral formulation.Offshore EngineeringDynamics of StructuresEngineering Structure
Seafloor sediment characterization using multibeam echosounders without grab sampling: Opportunities and challenges
No full textIn the last two decades, the use of multibeam echosounders has been growing for seafloor mapping and characterization. The former uses bathymetry data whereas the latter makes use of backscatter data. The use of backscatter data has been the subject of intensive research to gain insight into seafloor composition using either empirical or model-based methods. Model-based methods employ the available physical models for predicting the backscatter strength and determine the seafloor geoacoustic parameters in an inversion algorithm using optimization methods. These methods allow for direct coupling between the backscatter curve and sediment characteristics. But the methods usually suffer from a shortcoming associated to uncalibrated sonars, which is referred to as calibration curve. Grab samples at reference areas are required to estimate the calibration curve. A question may arise as to whether, or to what extent, the calibration curve can be estimated without grab sampling. Knowing that the calibration curve is an unknown function of incident angle, in principle, one can approximate it using the available estimation and optimization theories. This is elaborated in this paper and its opportunities and challenges will be addressed. The potential benefit is twofold. 1) The huge amount of MBES backscatter currently available in many hydrographic organizations can directly be used for seafloor characterization. 2) The available multiple-frequency MBESs can further improve the performance of the inversion process. There are also challenges to be addressed. 1) Estimation of the calibration curve is an unstable process because it is merely based on observed backscatter data without using grab samples. 2) The physical models, and component parts thereof, are not usually wellbehaved functions, possibly due to their discontinuities or discontinuity of their derivatives. These issues will be elaborated in this paper.Aircraft Noise and Climate Effect
Mental Health Diagnosis:A Case for Explainable Artificial Intelligence
No full textMental illnesses are becoming increasingly prevalent, in turn leading to an increased interest in exploring artificial intelligence (AI) solutions to facilitate and enhance healthcare processes ranging from diagnosis to monitoring and treatment. In contrast to application areas where black box systems may be acceptable, explainability in healthcare applications is essential, especially in the case of diagnosing complex and sensitive mental health issues. In this paper, we first summarize recent developments in AI research for mental health, followed by an overview of approaches to explainable AI and their potential benefits in healthcare settings. We then present a recent case study of applying explainable AI for ADHD diagnosis which is used as a basis to identify challenges in realizing explainable AI solutions for mental health diagnosis and potential future research directions to address these challenges.</p
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