Defining Bonferroni means over lattices

In the face of mass amounts of information and the need for transparent and fair decision processes, aggregation functions are essential for summarizing data and providing overall evaluations. Although families such as weighted means and medians have been well studied, there are still applications for which no existing aggregation functions can capture the decision makers' preferences. Furthermore, extensions of aggregation functions to lattices are often needed to model operations on L-fuzzy sets, interval-valued and intuitionistic fuzzy sets. In such cases, the aggregation properties need to be considered in light of the lattice structure, as otherwise counterintuitive or unreliable behavior may result. The Bonferroni mean has recently received attention in the fuzzy sets and decision making community as it is able to model useful notions such as mandatory requirements. Here, we consider its associated penalty function to extend the generalized Bonferroni mean to lattices. We show that different notions of dissimilarity on lattices can lead to alternative expressions.

Learning to think, learning to learn : super teaching for super success

The early childhood years are a busy, exciting time. New discoveries, skills and competencies are a regular part of life for a young child. Early childhood teachers have the opportunity to optimise these amazing and important years. In this paper, I will discuss teaching strategies that can turn children’s possibilities into realities. The practices that will be discussed involve expanding thinking, problem-solving and developing hypotheses. These teaching strategies can build on children’s learning dispositions and their strengths and interests to put the ‘wow factor’ into learning.

Negations generated by bounded lattices t-norms

From the birth of fuzzy sets theory, several extensions have been proposed changing the possible membership values. Since fuzzy connectives such as t-norms and negations have an important role in theoretical as well as applied fuzzy logics, these connectives have been adapted for these generalized frameworks. Perhaps, an extension of fuzzy logic which generalizes the remaining extensions, proposed by Joseph Goguen in 1967, is to consider arbitrary bounded lattices for the values of the membership degrees. In this paper we extend the usual way of constructing fuzzy negations from t-norms for the bounded lattice t-norms and prove some properties of this construction.

Super-resolution of a 3-dimensional scene from novel viewpoints

Super-resolution is a method of post-processing image enhancement that increases the spatial resolution of video or images. Existing super-resolution techniques apply only to images captured of a planar scene. This paper aims to extend super-resolution concepts from the 2D domain to the 3D domain, drawing on ideas from both superresolution and multi-view geometry, two fields of research that until now have predominantly been studied in isolation. 2D super-resolution methods are not without their complexities and limitations. However, once multiple views of a scene are considered within a super-resolution framework, a new range of issues arise that must also be resolved. For example, when input images of a scene with variation in depth are considered, it is no longer clear how and where the images should be registered. This paper describes the use of sparse 3D reconstruction in order to ‘register’ the input images, which are then transferred to a novel image plane and combined to increase the perceived detail in the scene. Experimental results using real images captured from generally positioned input cameras are presented.

Performance evaluation of multi-frame super-resolution algorithms

Multi-frame super-resolution algorithms aim to increase spatial resolution by fusing information from several low-resolution perspectives of a scene. While a wide array of super-resolution algorithms now exist, the comparative capability of these techniques in practical scenarios has not been adequately explored. In addition, a standard quantitative method for assessing the relative merit of super-resolution algorithms is required. This paper presents a comprehensive practical comparison of existing super-resolution techniques using a shared platform and 4 common greyscale reference images. In total, 13 different super-resolution algorithms are evaluated, and as accurate alignment is critical to the super-resolution process, 6 registration algorithms are also included in the analysis. Pixel-based visual information fidelity (VIFP) is selected from the 12 image quality metrics reviewed as the measure most suited to the appraisal of super-resolved images. Experimental results show that Bayesian super-resolution methods utilizing the simultaneous autoregressive (SAR) prior produce the highest quality images when combined with generalized stochastic Lucas-Kanade optical flow registration.

Making visible the invisible act of doping

This paper describes the construction of the visual space of surveillance by the global anti-doping apparatus, it is a space inhabited daily by professional cyclists. Two principal mechanisms of this apparatus will be discussed—the Whereabouts System and the Biological Passport; in order to illustrate how this space is constructed and how it visualises the invisible act of doping. These mechanisms act to supervise and govern the professional cyclist and work to classify them as either clean or dirty in terms of the use of prohibited doping substances or methods. Contrary to the analysis of liberal anti-doping scholars such as Hanstad, Loland and Møller this paper argues that Foucault’s Panopticon paradigm is a useful tool for the analysis of this apparatus. The Whereabouts System and Biological Passport are the instruments by which the anti-doping apparatus intensifies the construction of the space of surveillance in professional sport. This space of surveillance not only locates and makes visible the physical location of each individual cyclist, but it also makes visible their internal bodily functions, in this case the composition and the fluctuations of the composition of their blood. In making the cyclist visible the instruments do not allow the cause of doping, or the event of doping to be known or observed. Rather what they do is cast the body in terms of abnormalities of time, place or blood. In the case of an abnormality of the cyclist’s blood, the cause itself cannot be identified with any certainty, all that is made visible is a suggestion, or a probability, that doping may have occurred. The ultimate effects are twofold—an internalisation and continual monitoring of one’s self as well as by the authorities, and a radical change in the nature and the definition of the offence of doping. No longer is it positive evidence of doping that is punishable, but what becomes punishable is an abnormality, in the cyclist’s location, or their body, which suggests a probability that the invisible act of doping may have occurred. In the course of this process accepted manners of proving an offence by the use of scientific evidence and expert commentary are transformed. The Whereabouts System and the Biological Passport open up a new manner in which the invisible can be visualised. Through the discourse and the attendant commentary of the expert a new alliance between doping and the law is constructed. The result is a redistribution of the way in which the law visualises and treats the symptoms (the signifier) and the signified act of doping. The Whereabouts System and Biological Passport are the instruments by which the anti-doping apparatus intensifies the construction of the space of surveillance in professional sport. This space of surveillance not only locates and makes visible the physical location of each individual cyclist, but it also makes visible their internal bodily functions, in this case the composition and the fluctuations of the composition of their blood. In making the cyclist visible the instruments do not allow the cause of doping, or the event of doping to be known or observed. Rather what they do is cast the body in terms of abnormalities of time, place or blood. In the case of an abnormality of the cyclists’s blood, the cause itself cannot be identified with any certainty, all that is made visible is a suggestion, or a probability, that doping may have occurred. The ultimate effects are twofold—an internalisation and continual monitoring of one’s self as well as by the authorities, and a radical change in the nature and the definition of the offence of doping. No longer is it positive evidence of doping that is punishable, but what becomes punishable is an abnormality, in the cyclist’s location, or their body, which suggests a probability that the invisible act of doping may have occurred. In the course of this process accepted manners of proving an offence by the use of scientific evidence and expert commentary are transformed. The Whereabouts System and the Biological Passport open up a new manner in which the invisible can be visualised. Through the discourse and the attendant commentary of the expert a new alliance between doping and the law is constructed. The result is a redistribution of the way in which the law visualises and treats the symptoms (the signifier) and the signified act of doping.

Durable self-healing super-liquid-repellent fabrics

In this study, fabrics having a superhydrophobic and superoleophobic surface were prepared by a wet-chemistry coating technique using a coating solution containing hydrolyzed fluorinated alkyl silane and fluorinated-alkyl polyhedral oligomeric silsesquioxane. The coating shows remarkable self-healing superhydrophobic and superoleophobic properties and excellent durability against UV light, acid, repeated machine washes, and severe abrasion.

(S,N)-implications on bounded lattices

Since the birth of the fuzzy sets theory several extensions have been proposed. For these extensions, different sets of membership functions were considered. Since fuzzy connectives, such as conjunctions, negations and implications, play an important role in the theory and applications of fuzzy logics, these connectives have also been extended. An extension of fuzzy logic, which generalizes the ones considered up to the present, was proposed by Joseph Goguen in 1967. In this extension, the membership values are drawn from arbitrary bounded lattices. The simplest and best studied class of fuzzy implications is the class of (S,N)-implications, and in this chapter we provide an extension of (S,N)-implications in the context of bounded lattice valued fuzzy logic, and we show that several properties of this class are preserved in this more general framework.

A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution

We consider the problem of matching a face in a low resolution query video sequence against a set of higher quality gallery sequences. This problem is of interest in many applications, such as law enforcement. Our main contribution is an extension of the recently proposed Generic Shape-Illumination Manifold (gSIM) framework. Specifically, (i) we show how super-resolution across pose and scale can be achieved implicitly, by off-line learning of subsampling artefacts; (ii) we use this result to propose an extension to the statistical model of the gSIM by compounding it with a hierarchy of subsampling models at multiple scales; and (iii) we describe an extensive empirical evaluation of the method on over 1300 video sequences – we first measure the degradation in performance of the original gSIM algorithm as query sequence resolution is decreased and then show that the proposed extension produces an error reduction in the mean recognition rate of over 50%.