Spartan Daily, November 14, 1990

Volume 95, Issue 52https://scholarworks.sjsu.edu/spartandaily/8051/thumbnail.jp

Expanding Eco-Visualization: Sculpting Corn Production

This dissertation expands upon the definition of eco-visualization artwork. EV was originally defined in 2006 by Tiffany Holmes as a way to display the real time consumption statistics of key environmental resources for the goal of promoting ecological literacy. I assert that the final forms of EV artworks are not necessarily dependent on technology, and can differ in terms of media used, in that they can be sculptural, video-based, or static two-dimensional forms that communicate interpreted environmental information. There are two main categories of EV: one that is predominantly screen-based and another that employs a variety of modes of representation to visualize environmental information. EVs are political acts, situated in a charged climate of rising awareness, operating within the context of environmentalism and sustainability. I discuss a variety of EV works within the frame of ecopsychology, including EcoArtTech’s Eclipse and Keith Deverell’s Building Run; Andrea Polli’s Cloud Car and Particle Falls; Nathalie Miebach’s series, The Sandy Rides; and Natalie Jeremijenko’s Mussel Choir. The range of EV works provided models for my creative project, Sculpting Corn Production, and a foundation from which I developed a creative methodology. Working to defeat my experience of solastalgia, Sculpting Corn Production is a series of discrete paper sculptures focusing on American industrial corn farming. This EV also functions as a way for me to understand our devastated monoculture landscapes and the politics, economics, and related areas of ecology of our food production

Spartan Daily, October 29, 1990

Volume 95, Issue 42https://scholarworks.sjsu.edu/spartandaily/8041/thumbnail.jp

SNEAKERS: A Concurrent Engineering Demonstration System

Concurrent Engineering (CE) has already initiated a cultural change in the design and manufacturing of new products. It is expected to lead to better engineered and faster built products. But, in order for a company to take advantage of the power of CE, the members of product development teams have to be educated in the CE method of product development and how decisions made about one aspect of a design can affect other aspects. They also have to be educated in the usefulness of the tools that can be used for CE. Those tools include intelligent agents which can be used to offer design suggestions and criticisms. The goal of this project is to build a computer system which will simulate a design environment and demonstrate the essential aspects of CE, in a way that they can be intuitively understood. It is supported by a grant from the Competitive Product Development Institute at the Digital Equipment Corporation

A Comparison of Readability in Science-Based Texts: Implications for Elementary Teachers

Science curriculum standards were mapped onto various texts (literacy readers, trade books, online articles). Statistical analyses highlighted the inconsistencies among readability formulae for Grades 2–6 levels of the standards. There was a lack of correlation among the readability measures, and also when comparing different text sources. Online texts were the most disparate with respect to text difficulty. These findings suggest implications for elementary teachers to support students who learn through reading online, science-based resources. As 21st-century learning through multi-modal literacies evolves, the readability of online, content-based text should be evaluated to ensure accessibility to all readers

Syntactic and Semantic Analysis and Visualization of Unstructured English Texts

People have complex thoughts, and they often express their thoughts with complex sentences using natural languages. This complexity may facilitate efficient communications among the audience with the same knowledge base. But on the other hand, for a different or new audience this composition becomes cumbersome to understand and analyze. Analysis of such compositions using syntactic or semantic measures is a challenging job and defines the base step for natural language processing. In this dissertation I explore and propose a number of new techniques to analyze and visualize the syntactic and semantic patterns of unstructured English texts. The syntactic analysis is done through a proposed visualization technique which categorizes and compares different English compositions based on their different reading complexity metrics. For the semantic analysis I use Latent Semantic Analysis (LSA) to analyze the hidden patterns in complex compositions. I have used this technique to analyze comments from a social visualization web site for detecting the irrelevant ones (e.g., spam). The patterns of collaborations are also studied through statistical analysis. Word sense disambiguation is used to figure out the correct sense of a word in a sentence or composition. Using textual similarity measure, based on the different word similarity measures and word sense disambiguation on collaborative text snippets from social collaborative environment, reveals a direction to untie the knots of complex hidden patterns of collaboration

Spartan Daily, October 26, 1990

Volume 95, Issue 41https://scholarworks.sjsu.edu/spartandaily/8040/thumbnail.jp

Interactive visualisation for low literacy users

Sixteen percent (5.2 million) of the UK population possess low levels of literacy. The Government and other non-profit organisations, due to funding reforms, are forced to reduce the provision of face-to-face advice, and therefore, are pushing advice services via telephone or internet. As a consequence, low literacy users are experiencing difficulties finding the information they need to solve their day to day problems online. This thesis evaluates how walk in clients of a local Citizens Advice Bureau (CAB) who come to get social service information, obtain information online using the Adviceguide website. The thesis presents two challenges: (i) knowing the users in a way that can help consider design solutions that are probably not in a typical designer’s standard repertoire of design patterns, and (ii) knowing what is the problem that needs to be addressed. It is not simply an issue of usability or the need for simpler language, but understanding that these low literacy users are very different from the high literacy users. These low literacy users need this information to solve their day-to-day problems and are likely to be less successful in doing so. By providing an information architecture that permits them of a reasoning space and context, while supporting less abstract skills by visualized information in an unconventional way. The above challenges leave us with these research questions to address: what is the basis of such a design, how can these designs be incorporated into existing non-traditional interface proof of concept and finally how can these designs be evaluated

Applications in GNSS water vapor tomography

Algebraic reconstruction algorithms are iterative algorithms that are used in many area including medicine, seismology or meteorology. These algorithms are known to be highly computational intensive. This may be especially troublesome for real-time applications or when processed by conventional low-cost personnel computers. One of these real time applications is the reconstruction of water vapor images from Global Navigation Satellite System (GNSS) observations. The parallelization of algebraic reconstruction algorithms has the potential to diminish signi cantly the required resources permitting to obtain valid solutions in time to be used for nowcasting and forecasting weather models. The main objective of this dissertation was to present and analyse diverse shared memory libraries and techniques in CPU and GPU for algebraic reconstruction algorithms. It was concluded that the parallelization compensates over sequential implementations. Overall the GPU implementations were found to be only slightly faster than the CPU implementations, depending on the size of the problem being studied. A secondary objective was to develop a software to perform the GNSS water vapor reconstruction using the implemented parallel algorithms. This software has been developed with success and diverse tests were made namely with synthetic and real data, the preliminary results shown to be satisfactory. This dissertation was written in the Space & Earth Geodetic Analysis Laboratory (SEGAL) and was carried out in the framework of the Structure of Moist convection in high-resolution GNSS observations and models (SMOG) (PTDC/CTE-ATM/119922/2010) project funded by FCT.Algoritmos de reconstrução algébrica são algoritmos iterativos que são usados em muitas áreas incluindo medicina, sismologia ou meteorologia. Estes algoritmos são conhecidos por serem bastante exigentes computacionalmente. Isto pode ser especialmente complicado para aplicações de tempo real ou quando processados por computadores pessoais de baixo custo. Uma destas aplicações de tempo real é a reconstrução de imagens de vapor de água a partir de observações de sistemas globais de navegação por satélite. A paralelização dos algoritmos de reconstrução algébrica permite que se reduza significativamente os requisitos computacionais permitindo obter soluções válidas para previsão meteorológica num curto espaço de tempo. O principal objectivo desta dissertação é apresentar e analisar diversas bibliotecas e técnicas multithreading para a reconstrução algébrica em CPU e GPU. Foi concluído que a paralelização compensa sobre a implementações sequenciais. De um modo geral as implementações GPU obtiveram resultados relativamente melhores que implementações em CPU, isto dependendo do tamanho do problema a ser estudado. Um objectivo secundário era desenvolver uma aplicação que realizasse a reconstrução de imagem de vapor de água através de sistemas globais de navegação por satélite de uma forma paralela. Este software tem sido desenvolvido com sucesso e diversos testes foram realizados com dados sintéticos e dados reais, os resultados preliminares foram satisfatórios. Esta dissertação foi escrita no Space & Earth Geodetic Analysis Laboratory (SEGAL) e foi realizada de acordo com o projecto Structure 01' Moist convection in high-resolution GNSS observations and models (SMOG) (PTDC / CTE-ATM/ 11992212010) financiado pelo FCT.Fundação para a Ciência e a Tecnologia (FCT