Spatial filtering in tone reproduction and vision

This thesis is concerned with spatial filtering. What is its utility in tone reproduction? Does it exist in vision, and if so, what constraints does it impose on the nervous system?

Tone reproduction is just the art and science of taking a picture and then displaying it. The sensors available to capture an image have a greater dynamic range than the media that may be used to display it. Conventionally, spatial filtering is used to boost contrast; it ameliorates the loss of contrast that results when the sensor signal range is scaled down to fit the display range. In this thesis, a type of nonlinear spatial filtering is discussed that results in direct range reduction without range scaling. This filtering process is instantiated in a real-time image processor built using analog CMOS VLSI.

Spatial filtering must be applied with care in both artificial and natural vision systems. It is argued that the nervous system does not simply filter linearly across an image. Rather, the way that we see things implies that the nervous system filters nonlinearly. Further, many models for color vision include a high-pass filtering step in which the DC information is lost. A real-time study of filtering in color space leads to the conclusion that the nervous system is not that simple, and that it maintains DC information by referencing to white.

Distributed optimization in power networks and general multi-agent systems

The dissertation studies the general area of complex networked systems that consist of interconnected and active heterogeneous components and usually operate in uncertain environments and with incomplete information. Problems associated with those systems are typically large-scale and computationally intractable, yet they are also very well-structured and have features that can be exploited by appropriate modeling and computational methods. The goal of this thesis is to develop foundational theories and tools to exploit those structures that can lead to computationally-efficient and distributed solutions, and apply them to improve systems operations and architecture.

Specifically, the thesis focuses on two concrete areas. The first one is to design distributed rules to manage distributed energy resources in the power network. The power network is undergoing a fundamental transformation. The future smart grid, especially on the distribution system, will be a large-scale network of distributed energy resources (DERs), each introducing random and rapid fluctuations in power supply, demand, voltage and frequency. These DERs provide a tremendous opportunity for sustainability, efficiency, and power reliability. However, there are daunting technical challenges in managing these DERs and optimizing their operation. The focus of this dissertation is to develop scalable, distributed, and real-time control and optimization to achieve system-wide efficiency, reliability, and robustness for the future power grid. In particular, we will present how to explore the power network structure to design efficient and distributed market and algorithms for the energy management. We will also show how to connect the algorithms with physical dynamics and existing control mechanisms for real-time control in power networks.

The second focus is to develop distributed optimization rules for general multi-agent engineering systems. A central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to the given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent’s control on the least amount of information possible. Our work focused on achieving this goal using the framework of game theory. In particular, we derived a systematic methodology for designing local agent objective functions that guarantees (i) an equivalence between the resulting game-theoretic equilibria and the system level design objective and (ii) that the resulting game possesses an inherent structure that can be exploited for distributed learning, e.g., potential games. The control design can then be completed by applying any distributed learning algorithm that guarantees convergence to the game-theoretic equilibrium. One main advantage of this game theoretic approach is that it provides a hierarchical decomposition between the decomposition of the systemic objective (game design) and the specific local decision rules (distributed learning algorithms). This decomposition provides the system designer with tremendous flexibility to meet the design objectives and constraints inherent in a broad class of multiagent systems. Furthermore, in many settings the resulting controllers will be inherently robust to a host of uncertainties including asynchronous clock rates, delays in information, and component failures.

The Art of Madness

The nineteenth century was not an entirely kind time for the female artist. Coming of age as the 1800’s bridged into its latter half, literary artists Elizabeth Stuart Phelps Ward, Charlotte Perkins Gilman, and Kate Chopin were all well aware of their uncharitable culture. Equipped with firm feminist bents and creative visions, each of three women produced a seminal work – The Story of Avis, “The Yellow Wallpaper,” and The Awakening, respectively – taking that atmosphere to task. In these stories, each of the three women produces a female protagonist who struggles for having been born simultaneously an artist and a woman. The writers pit their women’s desires against the restrictive latitude of their time and show how such conditions drive women to madness, as a result of which they are forced to either escape into the blind mind of insanity or deal daily with their pain and inescapable societal condemnation. In an age where “hysteria” was a frequent hit in the vernacular, Phelps, Gilman and Chopin use art and literature as mediums to show that, indeed, there is a method behind the madness.

Ouvir na pele o terceiro som: ficções experimentadas e transformações sensoriais

A pesquisa surgiu a partir de investigações e experiências próprias com a escuta, a produção de sonoridades, a criação de ambientes e a realização de derivas intersensoriais. A articulação se dá segundo uma perspectiva transdisciplinar e em relação a alguns trabalhos artísticos e textuais especialmente significativos. A construção do sensorial e das subjetividades e suas possibilidades de transformação e emancipação, através de uma arte vinculada à vida, são questões centrais. Os conceitos de fabulação, linhas, cartografias e desterritorializações desenvolvidos por Deleuze, a ecosofia de Félix Guattari e a noção de corpos vibráteis em Suely Rolnik são fundamentais, assim como as observações de Lygia Clark e Hélio Oiticica a respeito de suas próprias experiências. Estudos históricos e culturais dos sentidos, como os de Constance Classen e David Howes, além de observações de teóricos distintos como Karl Marx, Walter Benjamin, Michel Serres e Jacques Ranciére auxiliam a traçar um panorama inicial do constructo sensorial no Ocidente moderno e contemporâneo. Questões relativas a som, silêncio e ruído levaram à utilização de conceitos como escuta e ressonância em um sentido ampliado, que não se restringe a fenômenos sonoros ou físicos. A articulação entre escuta, intersensorialidade, imaginação e memória contribuiu para o desenvolvimento inicial do conceito de terceiro som aqui presente. A percepção do texto como ativador de sensações e devaneios, as relações entre conceito e concreto e o relato não-realista de acontecimentos levaram às ficções experimentadas. O ato da deriva relaciona-se ao desregramento de todos sentidos e implica a vivência de margens, desvios e extremos, fronteiras em dissolução, diásporas nos interstícios. Poéticas e políticas da alteridade, da diferença e do estranhamento fazem-se presentes em experiências de um ambiente-vivo, paisagem-corpo-outro. Tais questões atravessam meus trabalhos, que são realizados de diferentes maneiras, em cartografias e rituais que podem incluir sons, textos, desenhos, objetos, fotografia, vídeos, vestimentas, ações, situações, etc. A abordagem das questões presentes se dá através de algumas passagens por escritores como Rimbaud, Borges e Italo Calvino; teóricos de diferentes áreas, como Guy Brett, Douglas Kahn, De Certeau, Michel Onfray, James J.Gibson e Donna Haraway; e trabalhos e textos de diversos artistas fundamentais, como Marcel Duchamp, John Cage, Allan Kaprow, George Maciunas e o Fluxus, Yoko Ono, Laurie Anderson, Gordon-Matta-Clark, Robert Smithson, Bill Viola, Cildo Meireles e Lygia Pape, entre outros

Assessing trends in the density of Atlantic croaker (Micropogonias undulatus): a comparison of passive acoustic and trawl methods

Using data collected simultaneously from a trawl and a hydrophone, we found that temporal and spatial trends in densities of juvenile Atlantic croaker (Micropogonias undulatus) in the Neuse River estuary in North Carolina can be identified by monitoring their sound production. Multivariate analysis of covariance (MA NCOVA) revealed that catch per unit of effort (CPUE) of Atlantic croaker had a significant relationship with the dependent variables of sound level and peak frequency of Atlantic croaker calls. Tests of between-subject correspondence failed to detect relationships between CPUE and either of the call parameters, but statistical power was low. Williamson’s index of spatial overlap indicated that call detection rate (expressed by a 0–3 calling index) was correlated in time and space with Atlantic croaker CPUE. The correspondence between acoustic parameters and trawl catch rates varied by month and by habitat. In general, the calling index had a higher degree of overlap with this species’ density than did the received sound level of their calls. Classification and regression tree analysis identified calling index as the strongest correlate of CPUE. Passive acoustics has the potential to be an inexpensive means of identifying spatial and temporal trends in abundance for soniferous fish species.

Plurimidialidade e arte

Esta dissertação tem por objetivo o estudo e a realização de procedimentos artísticos singulares que se abrem após o modernismo em diferenças flagrantes, levando a formas contemporâneas de organização do sensível em que as fronteiras entre as especificidades artísticas são cada vez mais diluídas. Conceitos como, dentre outros, o de campo expandido ou campo ampliado, de Rosalind Krauss, de arte inespecífica, de Florencia Garramuño, de intermídia, de Dick Higgins, de quase-cinema, de Hélio Oiticica, de Mistura, de Ricardo Basbaum são de grande importância para a pesquisa, constituindo-se como alvo do trabalho a ser realizado. Por serem constituídos de, ao menos, três mídias distintas (sons, palavras e imagens), que, montadas, se fundem, criando uma obra de múltiplos meios entre as mídias, os vídeos ou os arranjos audiovisuais que apresento nesta dissertação têm como característica central a plurimidialidade

Absorption of sound in cellular foams

To further enhance the sound absorption of metal foams via combining the high sound absorption and good heat conductivity of the cellular foam metals, the use and acoustic modeling of these materials are reviewed. The predictions made by three viscous models developed by the authors for the propagation of sound through open-cell metal foams are compared with an experiment both for the metal foams and for the polymer substrates used to manufacture the foam. All models are valid in the limit of low Reynold's number which is valid for the typical cell dimensions found in metal foams provided the amplitude of the waves is below 160 dB. The first model considers the drag experienced by acoustic waves as they propagate passing rigid cylinders parallel to their axes, the second considers the propagation normal to their axes, and the third considers the propagation passing the spherical joints. All three are combined together to give a general model of the acoustic behavior of the foams. In particular, the sound absorption is found to be significant and well predicted by the combined model. In addition, a post-processing technique is described for the experiment used to extract the fundamental wave propagation characteristics of the material.

Understanding jet noise.

Jets are one of the most fascinating topics in fluid mechanics. For aeronautics, turbulent jet-noise modelling is particularly challenging, not only because of the poor understanding of high Reynolds number turbulence, but also because of the extremely low acoustic efficiency of high-speed jets. Turbulent jet-noise models starting from the classical Lighthill acoustic analogy to state-of-the art models were considered. No attempt was made to present any complete overview of jet-noise theories. Instead, the aim was to emphasize the importance of sound generation and mean-flow propagation effects, as well as their interference, for the understanding and prediction of jet noise.

Once again on the importance of propagation effects for jet noise modelling

Several turbulent jet noise models starting from the classical Lighthill acoustic analogy to state-of-the art models are considered. No attempt is made to present any complete overview of jet noise theories. Instead, the aim is to emphasise the importance of sound generation and meanflow effects for the understanding and prediction of jet noise. For a recent acoustic analogy model, the consequences of jet flow simplification on the predicted sound spectra shape and the effective noise source location in the jet are discussed. © 2010 by the American Institute of Aeronautics and Astronautics, Inc.

Numerical analysis of shallow foundations under combined horizontal and torsional loading

Foundations of subsea infrastructure in deep water subjected to asymmetric environmental loads have underscored the importance of combined torsional and horizontal loading effects on the bearing capacity of rectangular shallow foundations. The purpose of this study is to investigate the undrained sliding and torsional bearing capacity of rectangular and square shallow foundations together with the interaction response under combined loading using three-dimensional finite element (3D-FE) analysis. Upper bound plastic limit analysis is employed to establish a reference value for horizontal and torsional bearing capacity, and an interaction relationship for the combined loading condition. Satisfactory agreement of plastic limit analysis (PLA) and 3D-FE results for ultimate capacity and interaction curves ensures that simple PLA solution could be used to evaluate the bearing capacity problem of foundation under combined sliding and torsion.

Many-Valued Logic and Qualitative Modelling of Electrical Circuits

Lee M.H., Many-Valued Logic and Qualitative Modelling of Electrical Circuits, in Proc. QR?2000, 14th Int. Workshop on Qualitative Reasoning, Morelia, Mexico June 3rd - 7th 2000.

Rough sets, their extensions and applications

Q. Shen and R. Jensen, 'Rough sets, their extensions and applications,' International Journal of Automation and Computing (IJAC), vol. 4, no. 3, pp. 217-218, 2007.

Johnny's in the Basement: Keats, Bob Dylan and Influence

Marggraf Turley, Richard, 'Johnny's in the Basement: Keats, Bob Dylan and Influence', In: 'The Monstrous Debt: Modalities of Romantic Influence in Twentieth Century Literature', (Detroit, MI: Wayne State University Press), pp.181-204, 2006 RAE2008

Herod Wielki i „nowa” Jerozolima

Summary: Herod the Great (73-4 B.C.E.) was a Roman client king of the small Jewish state Judaea in the last three decades before the common era. An essential aspect of Herod's reign was his role as a builder. Remarkably innovative, he created an astonishing record of architectural achievement, not only in Judaea but also throughout Greece and the Roman East. Herod’s own inclinations caused him to engage in a building program that paralleled that of his patron, Augustus. The most famous and ambitious project was the expansion of Jerusalem and rebuilding of the Second Temple. Josephus Flavius, a 1st-century Jewish historian, in his descriptions of the visual structure of Jerusalem delivers the picture of the Jewish society in the latter Second Temple Judaea, who were fundamentally antagonistic toward images. For Josephus, Roman iconography, such as Herod’s eagle from the Jerusalem Temple, represents not only political domination but also an unambiguous religious abomination. Visual conservatism in the public realm finds important verification in the excavated remains of Jerusalem’s Temple Mount and the Herodian Quarter (Upper City). Geometric patterns and forms predominate on the floor mosaic, stone furniture, in architectural detail and funerary remains. No human imagery is present in the Jewish context. However, Herodian structures in Jerusalem reflect the architectural and visual vocabulary of their time which contains popular elements of Roman domination in the ancient world.

Fuzzy ART

Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART and supervised fuzzy ARTMAP synthesize fuzzy logic and ART networks by exploiting the formal similarity between the computations of fuzzy subsethood and the dynamics of ART category choice, search, and learning. Fuzzy ART self-organizes stable recognition categories in response to arbitrary sequences of analog or binary input patterns. It generalizes the binary ART 1 model, replacing the set-theoretic: intersection (∩) with the fuzzy intersection (∧), or component-wise minimum. A normalization procedure called complement coding leads to a symmetric: theory in which the fuzzy inter:>ec:tion and the fuzzy union (∨), or component-wise maximum, play complementary roles. Complement coding preserves individual feature amplitudes while normalizing the input vector, and prevents a potential category proliferation problem. Adaptive weights :otart equal to one and can only decrease in time. A geometric interpretation of fuzzy AHT represents each category as a box that increases in size as weights decrease. A matching criterion controls search, determining how close an input and a learned representation must be for a category to accept the input as a new exemplar. A vigilance parameter (p) sets the matching criterion and determines how finely or coarsely an ART system will partition inputs. High vigilance creates fine categories, represented by small boxes. Learning stops when boxes cover the input space. With fast learning, fixed vigilance, and an arbitrary input set, learning stabilizes after just one presentation of each input. A fast-commit slow-recode option allows rapid learning of rare events yet buffers memories against recoding by noisy inputs. Fuzzy ARTMAP unites two fuzzy ART networks to solve supervised learning and prediction problems. A Minimax Learning Rule controls ARTMAP category structure, conjointly minimizing predictive error and maximizing code compression. Low vigilance maximizes compression but may therefore cause very different inputs to make the same prediction. When this coarse grouping strategy causes a predictive error, an internal match tracking control process increases vigilance just enough to correct the error. ARTMAP automatically constructs a minimal number of recognition categories, or "hidden units," to meet accuracy criteria. An ARTMAP voting strategy improves prediction by training the system several times using different orderings of the input set. Voting assigns confidence estimates to competing predictions given small, noisy, or incomplete training sets. ARPA benchmark simulations illustrate fuzzy ARTMAP dynamics. The chapter also compares fuzzy ARTMAP to Salzberg's Nested Generalized Exemplar (NGE) and to Simpson's Fuzzy Min-Max Classifier (FMMC); and concludes with a summary of ART and ARTMAP applications.