Novel arithmetic implementations using cellular neural network arrays.

The primary goal of this research is to explore the use of arrays of analog self-synchronized cells---the cellular neural network (CNN) paradigm---in the implementation of novel digital arithmetic architectures. In exploring this paradigm we also discover that the implementation of these CNN arrays produces very low system noise; that is, noise generated by the rapid switching of current through power supply die connections---so called di/dt noise. With the migration to sub 100 nanometer process technology, signal integrity is becoming a critical issue when integrating analog and digital components onto the same chip, and so the CNN architectural paradigm offers a potential solution to this problem. A typical example is the replacement of conventional digital circuitry adjacent to sensitive bio-sensors in a SoC Bio-Platform. The focus of this research is therefore to discover novel approaches to building low-noise digital arithmetic circuits using analog cellular neural networks, essentially implementing asynchronous digital logic but with the same circuit components as used in analog circuit design. We address our exploration by first improving upon previous research into CNN binary arithmetic arrays. The second phase of our research introduces a logical extension of the binary arithmetic method to implement binary signed-digit (BSD) arithmetic. To this end, a new class of CNNs that has three stable states is introduced, and is used to implement arithmetic circuits that use binary inputs and outputs but internally uses the BSD number representation. Finally, we develop CNN arrays for a 2-dimensional number representation (the Double-base Number System - DBNS). A novel adder architecture is described in detail, that performs the addition as well as reducing the representation for further processing; the design incorporates an innovative self-programmable array. Extensive simulations have shown that our new architectures can reduce system noise by almost 70dB and crosstalk by more than 23dB over standard digital implementations.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .I27. Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6159. Thesis (Ph.D.)--University of Windsor (Canada), 2005

The Superfluousness of Big Brother: Charting the Evolution of Surveillance in Twentieth and Twenty First Century American and Global Anglophone Literature and Television

This dissertation charts the evolution of surveillance as presented in twentieth and twenty-first century American and Global Anglophone literature and television. It analyzes six exemplary works: 1984, The Circle, Black Mirror, Purity, The Reluctant Fundamentalist, and The Lowland. It seeks to move beyond the scope of Benthamite and Foucauldian approaches to surveillance studies in order to examine the post-panoptic structures of the synopticon and the banopticon. To this end, this dissertation argues the six illustrative works mentioned above help underscore the shift from the few watching the many to the many watching the few. It seeks to explain the paradox whereby the televisual capabilities have never been more powerful yet the need for them has been rendered superfluous by an attitudinal, paradigmatic shift in western society. Finally, this dissertation endeavors to explain how literature productively complicates the issue of watching and how, paradoxically, we have never been better connected while simultaneously never been more alone. It posits another paradox as a solution: that we can know someone better by reading their words than by connecting with them through “social media.

NASA Tech Briefs, February 1995

No abstract availabl

Robotics, AI, and Humanity

This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated

High-Tech Trash

High-Tech Trash: Glitch, Noise, and Aesthetic Failure maps an archaeology of failure in a culture seemingly ill-equipped to deal with it. To better understand failure, Kane argues, we must abstract from our subjective, personal disappointments and see them as meaningful symbols of a broader human struggle. By connecting twenty-first century digital aesthetics to critical issues in the history of high-tech, the book elucidates what it means to be an error-prone, fallible human in an age of hyper technology; to fail again and again without recourse to anything but repetition

High-Tech Trash

High-Tech Trash analyzes creative strategies in glitch, noise, and error to chart the development of an aesthetic paradigm rooted in failure. Carolyn L. Kane explores how technologically influenced creative practices, primarily from the second half of the twentieth and first quarter of the twenty-first centuries, critically offset a broader culture of pervasive risk and discontent. In so doing, she questions how we continue onward, striving to do better and acquire more, despite inevitable disappointment. High-Tech Trash speaks to a paradox in contemporary society in which failure is disavowed yet necessary for technological innovation.  “Leonard Cohen sang ‘There’s a crack in everything…that’s how the light gets in.’ Here, Carolyn Kane teaches us how to see that light, one crack at a time.” FRED TURNER, author of The Democratic Surround: Multimedia and American Liberalism from World War II to the Psychedelic Sixties  “Kane profiles art practices and media discourses that exploit and celebrate, rather than filter or suppress, all kinds of errors and noises. A welcome intervention in a number of discursive fields.” PETER KRAPP, author of Noise Channels: Glitch and Error in Digital Culture  “An original work of scholarship that addresses some of the most pervasive phenomena and foundational questions in the contemporary media environment.” ROBERT HARIMAN, coauthor of The Public Image: Photography and Civic Spectatorship  CAROLYN L. KANE is Associate Professor of Communication at Ryerson University and author of Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics after Code

Constitutional Challenges in the Algorithmic Society

The law struggles to address the constitutional challenges of the algorithmic society. This book is for scholars and lawyers interested in the intersections of law and technology. It addresses the challenges for fundamental rights and democracy, the role of policy and regulation, and the responsibilities of private actors

Algorithms for colour image processing based on neurological models

373 p. : il., gráf., fot., tablasColour image processing is nowadays mostly achieved through the extrapolation of algorithms developed for images in grey levels into three colour planes, either RGB or some transformed planes, such as HSI, CIELAB... These techniques provide reliable solutions only in simple situations. As colour is a perception and not a characteristic inherent to objects, this thesis has developed new bioinspired algorithms for colour image processing. The work of this thesis has joined elements in colour theory and processing undertaken in the human visual system. A new functional model of the retina has been developed where each cell type has been characterised according to its connections, distribution and size. A retina architecture has been created which provides detailed information about its cell elements and organisation. This has allowed the creation of a retina model that generates a set of parallel output channels as happens in the human retina. The level of detail provided in the model has allowed the characterisation of each of the pathways with a precision that is not present in existing models described in scientific publications. The development of a colour processing model requires the combination of a functional retina model with colour appearance models. This union has achieved a new algorithm for colour image processing that provides colour attributes, such as: hue, lightness, brightness, saturation, chroma, colourfulness as well as edge detection components both in chromatic as well as achromatic components. The results provided by this model have been compared with CIECAM02 model's ones and have obtained noticeably better results in the "ab" plane and in the attributes calculated on Munsell colour samples. The colour processing model is backed by its results and has allowed identifying output channels of the retina that make up the usual "a", "b" and "A" channels in colour appearance models. This model entails a step forward on colour processing techniques that shall be of great use for image segmentation, characterisation and object identification. Key Words Colour image processing, neuroinspired models, computational modelling, colour appearance models. Colour image processing is nowadays mostly achieved through the extrapolation of algorithms developed for images in grey levels into three colour planes, either RGB or some transformed planes, such as HSI, CIELAB... These techniques provide reliable solutions only in simple situations. As colour is a perception and not a characteristic inherent to objects, this thesis has developed new bioinspired algorithms for colour image processing. The work of this thesis has joined elements in colour theory and processing undertaken in the human visual system. A new functional model of the retina has been developed where each cell type has been characterised according to its connections, distribution and size. A retina architecture has been created which provides detailed information about its cell elements and organisation. This has allowed the creation of a retina model that generates a set of parallel output channels as happens in the human retina. The level of detail provided in the model has allowed the characterisation of each of the pathways with a precision that is not present in existing models described in scientific publications. The development of a colour processing model requires the combination of a functional retina model with colour appearance models. This union has achieved a new algorithm for colour image processing that provides colour attributes, such as: hue, lightness, brightness, saturation, chroma, colourfulness as well as edge detection components both in chromatic as well as achromatic components. The results provided by this model have been compared with CIECAM02 model's ones and have obtained noticeably better results in the "ab" plane and in the attributes calculated on Munsell colour samples. The colour processing model is backed by its results and has allowed identifying output channels of the retina that make up the usual "a", "b" and "A" channels in colour appearance models. This model entails a step forward on colour processing techniques that shall be of great use for image segmentation, characterisation and object identification. Key Words - Colour image processing, neuroinspired models, computational modelling, colour appearance models.El Gobierno Vasco ha proporcionado apoyo financiero a través del programa ETORTEK, para las estancias en el Instituto Técnico de Massachusetts (MIT) y en la Universidad de Cambridge

The Longer Term Effects of Federal Subsidies on Firm Commercialization and Survival:Evidence from the Advanced Technology Program

The goal of this dissertation is to determine the longer term (5-10 year) causal impact of federal R&D subsidies on firms’ survival outcomes and commercialization behavior. The data are small firms which applied to the 1998-2000 Advanced Technology Program (ATP) competitions. A variant of the research design pioneered by Heckman (1979) allows for inherent pre-award differences between awarded and non-awarded firms to be taken into account. This dissertation finds that receiving an ATP award has a positive and significant causal impact on a firm’s survival chances and new product announcements, but not on the more general likelihood of it commercializing any of its research.Doctor of Philosoph