Informational Aesthetics Measures

The Birkhoff aesthetic measure of an object is the ratio between order and complexity. Informational aesthetics describes the interpretation of this measure from an information-theoretic perspective. From these ideas, the authors define a set of ratios based on information theory and Kolmogorov complexity that can help to quantify the aesthetic experience

Truth in complex adaptive systems models should be based on truth by constructive verification

It is argued that the truth status of emergent properties of complex adaptive systems models should be based on an epistemology of proof by constructive verification and therefore on the ontological axioms of a non-realist logical system such as constructivism or intuitionism. ‘Emergent’ properties of complex adaptive systems (CAS) models create particular epistemological and ontological challenges. These challenges bear directly on current debates in the philosophy of mathematics and in theoretical computer science. CAS research, with its emphasis on computer simulation, is heavily reliant on models which explore the entailments of Formal Axiomatic Systems (FAS). The incompleteness results of Gödel, the incomputability results of Turing, and the Algorithmic Information Theory results of Chaitin, undermine a realist (platonic) truth model of emergent properties. These same findings support the hegemony of epistemology over ontology and point to alternative truth models such as intuitionism, constructivism and quasi-empiricism.

Opportunistic cooperative diversity protocols for wireless networks

In this paper we consider a cooperative communication system where some a priori information of wireless channels is available at the transmitter. Several opportunistic relaying strategies are developed to fully utilize the available channel information. Then an explicit expression of the outage probability is developed for each proposed cooperative scheme as well as the diversity-multiplexing tradeoff by using order statistics. Our analytical results show that the more channel information available at the transmitter, the better performance a cooperative system can achieve. When the exact values of the source-relay channels are available, the performance loss at low SNR can be effectively suppressed. When the source node has the access to the source-relay and relay-destination channels, the full diversity can be achieved by costing only one extra channel used for relaying transmission, and an optimal diversity-multiplexing tradeoff can be achieved d(r) = (N + 1)(1 - 2r), where N is the number of all possible relaying nodes.

A camera based digit location and recognition system for garment tracking

Garment information tracking is required for clean room garment management. In this paper, we present a camera-based robust system with implementation of Optical Character Reconition (OCR) techniques to fulfill garment label recognition. In the system, a camera is used for image capturing; an adaptive thresholding algorithm is employed to generate binary images; Connected Component Labelling (CCL) is then adopted for object detection in the binary image as a part of finding the ROI (Region of Interest); Artificial Neural Networks (ANNs) with the BP (Back Propagation) learning algorithm are used for digit recognition; and finally the system is verified by a system database. The system has been tested. The results show that it is capable of coping with variance of lighting, digit twisting, background complexity, and font orientations. The system performance with association to the digit recognition rate has met the design requirement. It has achieved real-time and error-free garment information tracking during the testing.

Retrievals of sea surface temperature from infrared imagery: origin and form of systematic errors

We show that retrievals of sea surface temperature from satellite infrared imagery are prone to two forms of systematic error: prior error (familiar from the theory of atmospheric sounding) and error arising from nonlinearity. These errors have different complex geographical variations, related to the differing geographical distributions of the main geophysical variables that determine clear-sky brightness-temperatures over the oceans. We show that such errors arise as an intrinsic consequence of the form of the retrieval (rather than as a consequence of sub-optimally specified retrieval coefficients, as is often assumed) and that the pattern of observed errors can be simulated in detail using radiative-transfer modelling. The prior error has the linear form familiar from atmospheric sounding. A quadratic equation for nonlinearity error is derived, and it is verified that the nonlinearity error exhibits predominantly quadratic behaviour in this case.

Asynchronous distributed parallelization of mobile network optimization algorithms

It has been years since the introduction of the Dynamic Network Optimization (DNO) concept, yet the DNO development is still at its infant stage, largely due to a lack of breakthrough in minimizing the lengthy optimization runtime. Our previous work, a distributed parallel solution, has achieved a significant speed gain. To cater for the increased optimization complexity pressed by the uptake of smartphones and tablets, however, this paper examines the potential areas for further improvement and presents a novel asynchronous distributed parallel design that minimizes the inter-process communications. The new approach is implemented and applied to real-life projects whose results demonstrate an augmented acceleration of 7.5 times on a 16-core distributed system compared to 6.1 of our previous solution. Moreover, there is no degradation in the optimization outcome. This is a solid sprint towards the realization of DNO.

An entropy-based approach to automatic image segmentation of satellite images

An entropy-based image segmentation approach is introduced and applied to color images obtained from Google Earth. Segmentation refers to the process of partitioning a digital image in order to locate different objects and regions of interest. The application to satellite images paves the way to automated monitoring of ecological catastrophes, urban growth, agricultural activity, maritime pollution, climate changing and general surveillance. Regions representing aquatic, rural and urban areas are identified and the accuracy of the proposed segmentation methodology is evaluated. The comparison with gray level images revealed that the color information is fundamental to obtain an accurate segmentation. (C) 2010 Elsevier B.V. All rights reserved.

Generating segmented meshes from textured color images

This paper presents a new framework for generating triangular meshes from textured color images. The proposed framework combines a texture classification technique, called W-operator, with Imesh, a method originally conceived to generate simplicial meshes from gray scale images. An extension of W-operators to handle textured color images is proposed, which employs a combination of RGB and HSV channels and Sequential Floating Forward Search guided by mean conditional entropy criterion to extract features from the training data. The W-operator is built into the local error estimation used by Imesh to choose the mesh vertices. Furthermore, the W-operator also enables to assign a label to the triangles during the mesh construction, thus allowing to obtain a segmented mesh at the end of the process. The presented results show that the combination of W-operators with Imesh gives rise to a texture classification-based triangle mesh generation framework that outperforms pixel based methods. Crown Copyright (C) 2009 Published by Elsevier Inc. All rights reserved.

Quantified Analysis of the Leakage of Confidential Data

Basic information theory is used to analyse the amount of confidential information which may be leaked by programs written in a very simple imperative language. In particular, a detailed analysis is given of the possible leakage due to equality tests and if statements. The analysis is presented as a set of syntax-directed inference rules and can readily be automated.

Nota fiscal eletrônica reduz custos para o contribuinte?

O presente trabalho tem por objetivo investigar se a adoção de documentos eletrônicos, uma realidade cuja obrigatoriedade é crescente no Brasil, é acompanhada por uma redução nos custos de conformidade das empresas. O autor buscou o referencial teórico em várias áreas do conhecimento: no Direito Tributário e no Direito Civil, na Matemática Aplicada, na Tecnologia da Informação e, por fim, na Contabilidade. Do Direito Civil vieram os conceitos de documento, que juntamente com conceitos de Matemática e de Teoria da Informação permitem construir a noção de Documento Eletrônico. Do Direito Tributário vieram as noções relativas aos tributos no ordenamento brasileiro, e as suas obrigações associadas (principal e acessórias). Da Contabilidade buscaram-se as definições de custos de conformidade e de transação, de forma que se pudesse avaliar quanto custa para uma empresa ser conforme com as obrigações tributárias acessórias brasileiras, especialmente no que tange ao uso de documentos fiscais eletrônicos. O estudo foi circunscrito na Nota Fiscal Eletrônica, que no Brasil deve ser utilizada em operações de circulação de mercadorias em substituição à Nota Fiscal Modelo 1 ou 1-A, documento tradicional que existe há décadas no Brasil. Buscaram-se informações quantitativas com empresas brasileiras, e a conclusão final é que existem evidências que justificam a afirmação de que o uso de documentos eletrônicos é mais barato que o uso de documentos em papel, mediante a comparação entre os custos de transação associados com a Nota Fiscal Modelo 1 ou 1-A e com a Nota Fiscal Eletrônica.

Informação e organização: um modelo de diagnostico e intervenção na administração da universidade

Este trabalho, concebido dentro de uma perspectiva humanista, propõe-se a elaborar e testar um modelo de Diagnóstico e Intervenção Organizacional. A abordagem sistêmica permitiu a aplicação de conceitos da Teoria da Informação, tendo em vista a ideia de se elaborar uma sistemática de tratamento de dados coleta dos, que possibilite uma nova forma de Descrição de Cargos e consequente Especificações de Trabalho. O objetivo de tal colocação visa minorar as principais falhas existentes na passagem ' dos requisitos de Trabalho às Especificações decorrentes, tornando este "salto" menos subjetivo, mais operacional e melhor quantificável. Por outro lado, o tratamento de dados à luz da Teoria da Informação, permite a elaboração de novas categorizações e avaliações para fins psicológicos. Além de se obter uma classificação objetiva, operacional e dinâmica em termos de análise de trabalho, são formulados novos recursos com vista s a uma seleção adequada, um tratamento útil e específico, fundamentados nos elementos discriminantes de cada cargo. Finalmente, através de uma análise da estrutura e da dinâmica de uma organização específica, fundamentada em processos de análise de trabalho e de avaliação de pessoal, baseadas na teoria da, informação é também possível planejar-se mudanças organizacionais - com perspectivas ergonômicas - na área considera da crítica, para minimizar a eficiência dos recursos humanos de uma organização, isto é, a adaptação do trabalho ao Homem.

The effect of using claim confirming product cues on the product claim credibility: is seeing believing?

The Cue Utilization Theory establishes that all products are made of multiples cues that may be seen as surrogates for the intangible attributes that make up any given product. However, the results of many years of research have yet yielded little consensus as to the impact generated by the use of such cues. This research aims to contribute to the discussion about the importance of intrinsic cues by investigating the effects that the use of product cues that confirm the product claim may have on Claim Credibility (measured through Ad Credibility), and also on consumers’ Purchase Intention and Perceived Risk toward the product. An experiment was designed to test such effects and the results suggest the effects of the use of Claim Confirming Product Cues depend on consumer’s level of awareness about such cue, and that when consumers are aware of it, Ad Credibility and Purchase Intention increase, as Perceived Risk decreases. Such results may have implications to academicians and practitioners, as well as may provide insights for future research.