Proposta de um método para escolha de software de automação de bibliotecas

Apresenta um método para avaliação e seleção de softwares de automação de bibliotecas. Consiste na atribuição de critérios e cálculos estatísticos em uma lista elaborada para a seleção e avaliação deste tipo de software. Este método pretender servir como instrumento de apoio à tomada de decisão no processo de escolha do software mais adequado às necessidades de cada instituição. Este trabalho foi motivado por uma demanda do Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) para automatizar a sua biblioteca.

Coisas velhas em coisas novas: novas "velhas tecnologias"

A intenção é oferecer discussão atualizada em torno das espetaculares inovações tecnológicas, realçando tanto rompimento quanto continuidades. Assim como se defende que as tecnologias demonstram um sentido de convergência, também demonstram continuidades. Os hackers e outros defensores do software livre pregam liberdade e libertação, imaginando computador e internet como arenas da liberdade. Apenas em parte isto parece correto, também porque os mesmos hackers que se proclamam libertários se submetem a estruturas tacanhas de poder (chefes autocráticos, por exemplo). Ao mesmo tempo, a internet acaba subordinando-se ao poder dos Estados (ao contrário de sua pretensa vocação "globalizante"), porque ainda são a instância jurídica de ordenamento. A França impôs mudanças em conteúdos de sites e é notória a resistência da China e de outros regimes (mais fechados) ao fluxo desimpedido da informação. Aquela aura inicial de liberdade, consagrada na estrutura do computador de ser customizado e formatado na linha final, está sendo fortemente contestada, seja por conta de fluxos ilegais e imorais, seja pela invasão de spams e marketing, seja pela contaminação de vírus. A assim dita "internet generativa" vai cedendo, sob pressão também de usuários que querem produtos acabados, garantidos e mais fáceis de manipular,premida pelos abusos da liberdade. É notório o caso da Wikipédia: constantes guerras de edição conturbam seu ambiente (ainda que isto não impeça a produção de uma enciclopédia de grande interesse e originalidade).

Marketing da informação: abordagem inovadora para entender o mercado e o negócio da informação

Mostra o marketing da informação como abordagem inovadora da gestão da informação e do conhecimento em unidades de informação, a partir do entendimento do mercado e do negócio da informação na área em que atuam suas organizações mantenedoras, estejam elas inseridas no setor com fins de lucro ou não. Destaca que, diante dos novos temas e da mudança de paradigmas, o marketing da informação reflete tanto a natureza mutável dos serviços de informação como as perspectivas teóricas e práticas do marketing, principalmente após o surgimento da Internet e da Web. Conclui que é importante estudar, pesquisar e desenvolver estudos sobre marketing na ciência da informação para evidenciar os benefícios da apropriação conceitual do marketing nesta área do conhecimento e dar visibilidade ao papel desempenhado pelas unidades e profissionais da informação como agentes sociais capazes de contribuir para o desenvolvimento da sociedade.

Social reciprocity measures based on dyadic discrepancies: Methodological review and software development

This paper examines statistical analysis of social reciprocity at group, dyadic, and individual levels. Given that testing statistical hypotheses regarding social reciprocity can be also of interest, a statistical procedure based on Monte Carlo sampling has been developed and implemented in R in order to allow social researchers to describe groups and make statistical decisions.

Calculation of wood volume and stem taper using terrestrial single-image close-range photogrammetry and contemporary software tools

Abstract

Three essays on major trends in a slow clockspeed industry : the case of industrial automation

The motivation for this research initiated from the abrupt rise and fall of minicomputers which were initially used both for industrial automation and business applications due to their significantly lower cost than their predecessors, the mainframes. Later industrial automation developed its own vertically integrated hardware and software to address the application needs of uninterrupted operations, real-time control and resilience to harsh environmental conditions. This has led to the creation of an independent industry, namely industrial automation used in PLC, DCS, SCADA and robot control systems. This industry employs today over 200'000 people in a profitable slow clockspeed context in contrast to the two mainstream computing industries of information technology (IT) focused on business applications and telecommunications focused on communications networks and hand-held devices. Already in 1990s it was foreseen that IT and communication would merge into one Information and communication industry (ICT). The fundamental question of the thesis is: Could industrial automation leverage a common technology platform with the newly formed ICT industry? Computer systems dominated by complex instruction set computers (CISC) were challenged during 1990s with higher performance reduced instruction set computers (RISC). RISC started to evolve parallel to the constant advancement of Moore's law. These developments created the high performance and low energy consumption System-on-Chip architecture (SoC). Unlike to the CISC processors RISC processor architecture is a separate industry from the RISC chip manufacturing industry. It also has several hardware independent software platforms consisting of integrated operating system, development environment, user interface and application market which enables customers to have more choices due to hardware independent real time capable software applications. An architecture disruption merged and the smartphone and tablet market were formed with new rules and new key players in the ICT industry. Today there are more RISC computer systems running Linux (or other Unix variants) than any other computer system. The astonishing rise of SoC based technologies and related software platforms in smartphones created in unit terms the largest installed base ever seen in the history of computers and is now being further extended by tablets. An underlying additional element of this transition is the increasing role of open source technologies both in software and hardware. This has driven the microprocessor based personal computer industry with few dominating closed operating system platforms into a steep decline. A significant factor in this process has been the separation of processor architecture and processor chip production and operating systems and application development platforms merger into integrated software platforms with proprietary application markets. Furthermore the pay-by-click marketing has changed the way applications development is compensated: Three essays on major trends in a slow clockspeed industry: The case of industrial automation 2014 freeware, ad based or licensed - all at a lower price and used by a wider customer base than ever before. Moreover, the concept of software maintenance contract is very remote in the app world. However, as a slow clockspeed industry, industrial automation has remained intact during the disruptions based on SoC and related software platforms in the ICT industries. Industrial automation incumbents continue to supply systems based on vertically integrated systems consisting of proprietary software and proprietary mainly microprocessor based hardware. They enjoy admirable profitability levels on a very narrow customer base due to strong technology-enabled customer lock-in and customers' high risk leverage as their production is dependent on fault-free operation of the industrial automation systems. When will this balance of power be disrupted? The thesis suggests how industrial automation could join the mainstream ICT industry and create an information, communication and automation (ICAT) industry. Lately the Internet of Things (loT) and weightless networks, a new standard leveraging frequency channels earlier occupied by TV broadcasting, have gradually started to change the rigid world of Machine to Machine (M2M) interaction. It is foreseeable that enough momentum will be created that the industrial automation market will in due course face an architecture disruption empowered by these new trends. This thesis examines the current state of industrial automation subject to the competition between the incumbents firstly through a research on cost competitiveness efforts in captive outsourcing of engineering, research and development and secondly researching process re- engineering in the case of complex system global software support. Thirdly we investigate the industry actors', namely customers, incumbents and newcomers, views on the future direction of industrial automation and conclude with our assessments of the possible routes industrial automation could advance taking into account the looming rise of the Internet of Things (loT) and weightless networks. Industrial automation is an industry dominated by a handful of global players each of them focusing on maintaining their own proprietary solutions. The rise of de facto standards like IBM PC, Unix and Linux and SoC leveraged by IBM, Compaq, Dell, HP, ARM, Apple, Google, Samsung and others have created new markets of personal computers, smartphone and tablets and will eventually also impact industrial automation through game changing commoditization and related control point and business model changes. This trend will inevitably continue, but the transition to a commoditized industrial automation will not happen in the near future.

Machine learning for spatial environmental data. Theory, applications and software

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.