348 research outputs found
Masked aversion: Walking and staring behavior towards stigmatizing products
An encounter with a person using or wearing a potentially stigmatizing product is an impacting experience that is the result of the artifact itself, the individual experiencing the stigma, the observing bystanders and the cultural context in which the situation is set. Using or wearing a potentially stigmatizing product might stimulate bystanders to stereotype its user and arouse negative feelings or disgust, followed by avoidant behavior. Gaining insight in the causative factors of this process could help to create awareness amongst designers and assist them in overriding product related stigma. The experiment on which this paper reports is a first attempt to measure the staring and walking behavior of passers-by towards a research confederate who’s wearing a dust mask. Two categories of parameters were deduced. The first deals with two aspects of the staring behavior. The distance between a passer-by and the confederate on the moment of visual perception assessed the perception delay. Staring behavior was also measured by registering whether passers-by looked over their shoulders after passing the confederate. The second category, containing the most important measurement, deals with the registration of the closest interpersonal distance between the passer-by and the confederate. The research was conducted on a sample of 87 male and 82 female participants who were randomly assigned to three conditions, a no-mask reference condition and two distinct mask typologies. The results suggest that passers-by did notice the mask conditions significantly faster than the no-mask condition. The results also show a difference in the interpersonal distance for the three conditions; passers-by did maintain a significantly greater distance to the confederate with the dust mask. This research presents a first step towards the development of a tool that can be indicative of the potential ‘degree of stigmatization’ of product concepts in an early phase of the design process.Industrial DesignIndustrial Design Engineerin
Parametric Investigation on Simulated Staring FMCW Radar for Anti-Drone Swarms
This paper presents parametric investigation results on a staring FMCW radar system which targets drone swarms. The parametric investigation has been carried out by using the RAPID-SIM which facilitates system-level analysis of drone swarms' radar signatures. This paper explains concepts of the simulator's each module and also covers two parametric investigation results which deal with quantitative performance criteria for the design of the anti-drone swarms radar system.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.Microwave Sensing, Signals & System
From Caméra-Stylo to Photobook: On Chris Marker’s Staring Back
In this article, the author analyzes Chris Marker’s photography, in particular the project Staring Back (an exhibition and a book, published in 2007), which offers a synthesis in fixed images of the film career of this author who has always explored the blurred boundaries between the still and the moving image (for example in his 1962 cult movie La jetée, or in later photo-films such as Si j’avais quatre dromadaires, 1966, and Le souvenir d’un avenir, with Yannick Bellon, 2001). The author relies on Marker’s notion of the “superluminal” (which refers to a special way of selecting still images out of the flow of moving images) as well as on contemporary and historical discussions on intermediality (inside and outside the domain of film studies alone) and cinephilia (as a specific way of combining writing and filming), to propose a close reading of Staring Back. In this reading, the author places strong emphasis on the political issues around looking and the relationship between artist and model.Dans cet article, l’auteur propose une analyse des travaux photographiques de Chris Marker, plus particulièrement de son projet Staring Back (qui est à la fois une exposition et un livre publié en 2007). Cette oeuvre peut se lire comme une synthèse en images fixes de la carrière cinématographique d’un auteur qui s’est toujours efforcé d’explorer les limites instables entre image fixe et image mobile, comme dans son film-culte La jetée (1962) ou dans des productions telles que Si j’avais quatre dromadaires (1966) ou Le souvenir d’un avenir (avec Yannick Bellon, 2001). L’auteur appuie son analyse sur trois éléments : 1) le concept markérien de « superluminal », qui renvoie à une technique consistant à détacher certaines images fixes du flot d’images mobiles, 2) les débats plus ou moins récents sur l’intermédialité, à l’intérieur comme à l’extérieur des études du cinéma, et 3) la notion de cinéphilie, entendue ici comme une certaine façon de combiner écriture verbale et écriture filmique. Ces trois éléments l’aident à soutenir une lecture rapprochée de Staring Back, qui met fortement l’accent sur les enjeux politiques du regard, d’une part, et sur les rapports entre artiste et modèle, d’autre part
Fuzzy Face Clustering For Forensic Investigations
The amount of personal imagery kept on (mobile) devices is increasing by the day. Analysis and organization of these large collections of data are becoming increasingly important in the field of digital forensics, as they can aid in the search for legal evidence. The grouping of faces based on their identity is an important aspect as it provides an overview of the person in question and their connection with scenes, objects and other people. In this work, we propose a fuzzy approach to the hard partitioning problem of face clustering for the specific field of forensic investigations. We constructed a pipeline consisting of deep models for face detection and feature extraction, a method for transforming the resulting feature vectors to a graph representation and agraph-based clustering algorithm for the final partitioning. Focusing on the clustering step, we propose to assign face images to identity clusters using confidence values (rather than a hard cutoff) based on the average similarity with images present in the cluster relative to other clusters. Compared to existing methods, the approach is not only fuzzy but also embraces na¨ıve linking, and instead of transitively merging the links it uses a graph-based algorithm to produce the clusters. Furthermore, we propose an adapted version of the MaxMax algorithm because the original method only returned fuzzy results if weights were exactly equal. However, similarities between images are continuous, making it unsuitable for the case of face clustering. Evaluation of the performance on the Labeled Face in the Wild (LFW) dataset and the challenging IARPA JANUS Benchmark B (IJB-B) shows promising results comparable with state-ofthe-art face clustering algorithms
Myelin Imaging in Brain using Inhomogeneous Magnetization Transfer(ihMT) at 3T and 7T
Demyelination is described as loss of myelin sheath in neurons which could lead to disruption in signal transmission in nervous system. Inhomogeneous Magnetization Transfer(ihMT) is a novel MRI technique used to image myelin. It uses the dipolar coupling between methyl chains in lipid layers of myelin to acquire myelin specific information. In this study, we investigated the feasibility of ihMT at 7T. Based on phantom experiments and Bloch simulations, the influence of off-resonance frequency , RF field strength and RF pulse proprieties on ihMTR are studied and optimized. For in-vivo imaging, the experiments are conducted on healthy volunteers. Since inhomogeneties are prevalent at higher fields, an optimized protocol is devised to achieve maximum ihMT effect at 7T. A comparison of 3T and 7T for the off-resonance frequency, RF field strength and pulse proprieties is presented to emphasize the impact of parameters at both the field strengths.Electrical Engineering | Signals and System
U-space field trials results for drone discrimination with a staring radar
Non-cooperative surveillance of drones is an important consideration in the EU SESAR vision for the provision of U-SPACE services. Aveillant Gamekeeper multiple staring radar utilises extended dwell to be able to detect small drones at the range of several kilometres. However, target discrimination is necessary with such surveillance system as the increased detection sensitivity against low RCS targets extenuates the problem of false reports of targets such as birds and surface objects such as vehicles etc. Machine learning classifiers are used to remove confuser targets such as birds to provide real-time tracks of drones. Field trials from live drone flights against a number of test scenarios for U-Space are used to train and test a decision tree classifier working on both trajectory and micro-doppler features. Results show that a high level of classifier accuracy is achieved across a range of flight profiles for a rotary wing drone
Interbed demultiple using Marchenko redatuming on 3D field data of the Santos basin
We apply Marchenko redatuming using an adaptive double-focusing method to 3D field data of the Santos basin, Brazil. This method was already successfully applied to 2D field data and we now study the acquisition geometry and preprocessing requirements in 3D. We start from 3D synthetic data modeled on a dense grid of colocated sources and receivers and decimate down to a realistic NAZ streamer acquisition. The synthetic tests show that the sail line spacing and the missing outer cables are the acquisition parameters with the strongest effect on Marchenko redatuming. We can interpolate for the sail line spacing and the near offsets, but the missing outer cables are unfortunately a limitation of the acquisition. After applying the proposed interpolation to 3D field data, interbed multiples are successfully predicted and subtracted from the target area, resulting in a significant improvement in the geological interpretation. Naturally, the pre-processing requirements and challenges strongly depend on the acquisition geometry and the geology of the area under investigation (e.g. water depth, shape of the overburden, maximum dip). Hence, these tests only give a general idea about the limitations of 3D Marchenko redatumingAccepted author manuscriptApplied Geophysics and PetrophysicsImPhys/Acoustical Wavefield Imagin
An inhomogeneous multi-resolution regularization concept for discontinuity preserving image registration
Sliding organs pose challenges in the registration of dynamic medical images because the smoothness criterion which is commonly assumed over the whole image domain does not apply at the sliding interfaces. In this case, image registration methods have to cope with local discontinuities in the correspondence map. We present a new registration methodology based on a multi-resolution transformation model which is defined as a directed acyclic graph. The graph’s edges connect consecutive resolution levels enabling to inhomogeneously pass displacements through to higher levels. Thus, they are well suited to cope with local discontinuities while aiming at smooth correspondence maps. We introduce three regularization terms which operate on the graph. A total variation term ensuring discontinuity preserving smoothness, a sparsity term on zero edge-weights to prevent trivial solutions and a term which prefers transformations which are explained in lower resolution levels. For an early proof of concept we analyze the registration performance of our method on synthetic 2D data and on a 2D slice of the POPI model
Virtual seismology: from hydrocarbon reservoir imaging to induced earthquake monitoring
Recent developments in exploration seismology have enabled the creation of virtual sources and/or virtual receivers in the subsurface from reflection measurements at the earth's surface. Unlike in seismic interferometry, no physical instrument (receiver or source) is needed at the position of the virtual source or receiver. Moreover, no detailed knowledge of the subsurface parameters and structures is required: a smooth velocity model suffices. Yet, the responses to the virtual sources, observed by the virtual receivers, fully account for multiple scattering. This new methodology, which we call virtual seismology, has led to a breakthrough in hydrocarbon reservoir imaging, as is demonstrated in a companion paper (Staring et al., Marchenko redatuming for multiple prediction and removal in situations with a complex overburden). The aim of the present paper is to discuss applications of virtual seismology beyond exploration seismology, in particular induced earthquake monitoring, and to highlight the connections between these applications. The ability to retrieve the entire wave field between (virtual or real) sources and receivers anywhere in the subsurface, without needing a detailed subsurface model, has large potential for monitoring induced seismicity, characterizing the source properties (such as the moment tensor of extended sources along a fault plane), and forecasting the response to potential future induced earthquakes. This will be demonstrated with numerical models and preliminary real-data results.Abstract S53A-03 presented at 2018 Fall Meeting, AGU, Washington, D.C., 10-14 Dec. Session: S53A On the Symbiosis Between Fundamental and Exploration Geophysics IImPhys/Acoustical Wavefield ImagingApplied Geophysics and Petrophysic
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