137 resultados para tutorials


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The research proposes a reflection on tutorial videos from Youtube, seen as a form of gift in modern society. Our reflection parts form a perspective of mutual exchange, which avoids the patterns of trade with current economic purposes. We present these video producers as craftsmen of cyberculture due to the skill and competence which they transmit their knowledge. The research is consisted by the observation of video tutorials on YouTube over the Linux operating system and its distributions. Analyzing the interactions between video producers, users and the website. The analysis is based on the classic Mauss (2003) and his reinterpretations of Caille (1998, 2001, 2002, 2006), Godbout (1992, 1998) assisted by Aime Cossetta (2010) and Sennett (2009) to help understand the idea of the craftsmen. The Internet as an open territory in expansion ables us to understand that the relationship in this medium also constitutes the reciprocal links pointed out by Mauss in the early twentieth century. The circulation of intangible property, in this case the knowledge beyond the establishment of social links, promotes a collaborative extent to produce the common in cyberspace.

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One of the most common forms of reuse is through API usage. However, one of the main challenges to effective usage is an accessible and easy to understand documentation. Several papers have proposed alternatives to make more understandable API documentation, or even more detailed. However, these studies have not taken into account the complexity of understanding of the examples to make these documentations adaptable to different levels of experience of developers. In this work we developed and evaluated four different methodologies to generate tutorials for APIs from the contents of Stack Overflow and organizing them according to the complexity of understanding. The methodologies were evaluated through tutorials generated for the Swing API. A survey was conducted to evaluate eight different features of the generated tutorials. The overall outcome of the tutorials was positive on several characteristics, showing the feasibility of the use of tutorials generated automatically. In addition, the use of criteria for presentation of tutorial elements in order of complexity, the separation of the tutorial in basic and advanced parts, the nature of tutorial to the selected posts and existence of didactic source had significantly different results regarding a chosen generation methodology. A second study compared the official documentation of the Android API and tutorial generated by the best methodology of the previous study. A controlled experiment was conducted with students who had a first contact with the Android development. In the experiment these students developed two tasks, one using the official documentation of Android and using the generated tutorial. The results of this experiment showed that in most cases, the students had the best performance in tasks when they used the tutorial proposed in this work. The main reasons for the poor performance of students in tasks using the official API documentation were due to lack of usage examples, as well as its difficult use.

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Bob Briscoe, Anna Brunstrom, Andreas Petlund, David Hayes, David Ros, Ing-Jyh Tsang, Stein Gjessing, Gorry Fairhurst, Carsten Griwodz, Michael Welzl

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Bob Briscoe, Anna Brunstrom, Andreas Petlund, David Hayes, David Ros, Ing-Jyh Tsang, Stein Gjessing, Gorry Fairhurst, Carsten Griwodz, Michael Welzl

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This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016. The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis.

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Localization is one of the key technologies in Wireless Sensor Networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints on cost and power consumption make it infeasible to equip each sensor node in the network with a Global Position System (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use mobile anchor nodes (MANs), which are equipped with GPS units moving among unknown nodes and periodically broadcasting their current locations to help nearby unknown nodes with localization. A considerable body of research has addressed the Mobile Anchor Node Assisted Localization (MANAL) problem. However to the best of our knowledge, no updated surveys on MAAL reflecting recent advances in the field have been presented in the past few years. This survey presents a review of the most successful MANAL algorithms, focusing on the achievements made in the past decade, and aims to become a starting point for researchers who are initiating their endeavors in MANAL research field. In addition, we seek to present a comprehensive review of the recent breakthroughs in the field, providing links to the most interesting and successful advances in this research field.

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Tendo em conta o cenário atual de aumento de população idosa e da esperança média de vida, de proliferação dos meios tecnológicos e da necessidade de permanecer ativo para a melhoria da qualidade de vida, a criação de produtos, que aliem a tecnologia ao exercício físico, mostra-se uma mais-valia. A presente dissertação possui quatro objetivos:I) Identificar as tipologias de exercícios adequados ao público-alvo II) planeamento de três vídeos tutoriais de exercício físico para apoio ao cidadão sénior; III) realização dos três vídeos tutoriais de exercício físico para apoio ao cidadão sénior; IV) avaliação dos três vídeos tutoriais junto a cidadãos seniores para compreender se as características presentes nos tutoriais são adequadas para o público. Para a concretização dos objetivos, anteriormente mencionados, foram utilizadas três diferentes fases metodológicas durante este projeto: Na primeira fase foi utilizada uma metodologia exploratória, isto é, foram estudados trabalhos anteriormente realizados relativos a esta temática, para auxiliar a construção dos tutoriais; Na segunda fase recorrendo à metodologia de investigação de desenvolvimento, foi concretizado um protótipo dos vídeos tutoriais, apresentados a um grupo de especialistas em ambiente de focus group, onde foram sugeridas alterações para melhor se adaptarem ao público-alvo, e posteriormente foi realizada uma versão final dos tutoriais. Por último, os tutoriais foram apresentados a cidadãos seniores para serem avaliados a nível de: vídeo, áudio, exercícios e texto, com o intuito de compreender se estes se encontravam adequados ao público sénior. Em suma, no final da presente investigação consegue-se responder à questão: quais as caraterísticas que devem possuir os tutoriais audiovisuais, de apoio à atividade física, destinados a um público sénior.

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Case study on differentiated learning for accounting technicians and apprentices using online video tutorials

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Problem This dissertation presents a literature-based framework for communication in science (with the elements partners, purposes, message, and channel), which it then applies in and amends through an empirical study of how geoscientists use two social computing technologies (SCTs), blogging and Twitter (both general use and tweeting from conferences). How are these technologies used and what value do scientists derive from them? Method The empirical part used a two-pronged qualitative study, using (1) purposive samples of ~400 blog posts and ~1000 tweets and (2) a purposive sample of 8 geoscientist interviews. Blog posts, tweets, and interviews were coded using the framework, adding new codes as needed. The results were aggregated into 8 geoscientist case studies, and general patterns were derived through cross-case analysis. Results A detailed picture of how geoscientists use blogs and twitter emerged, including a number of new functions not served by traditional channels. Some highlights: Geoscientists use SCTs for communication among themselves as well as with the public. Blogs serve persuasion and personal knowledge management; Twitter often amplifies the signal of traditional communications such as journal articles. Blogs include tutorials for peers, reviews of basic science concepts, and book reviews. Twitter includes links to readings, requests for assistance, and discussions of politics and religion. Twitter at conferences provides live coverage of sessions. Conclusions Both blogs and Twitter are routine parts of scientists' communication toolbox, blogs for in-depth, well-prepared essays, Twitter for faster and broader interactions. Both have important roles in supporting community building, mentoring, and learning and teaching. The Framework of Communication in Science was a useful tool in studying these two SCTs in this domain. The results should encourage science administrators to facilitate SCT use of scientists in their organization and information providers to search SCT documents as an important source of information.

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The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.

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The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years. A novel computational intelligence technique, inspired by immunology, has emerged, called Artificial Immune Systems. Several concepts from the immune have been extracted and applied for solution to real world science and engineering problems. In this tutorial, we briefly describe the immune system metaphors that are relevant to existing Artificial Immune Systems methods. We will then show illustrative real-world problems suitable for Artificial Immune Systems and give a step-by-step algorithm walkthrough for one such problem. A comparison of the Artificial Immune Systems to other well-known algorithms, areas for future work, tips & tricks and a list of resources will round this tutorial off. It should be noted that as Artificial Immune Systems is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from time to time and from those examples given here.

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Dissertação de Mestrado, Gestão Empresarial, Faculdade de Economia, Universidade do Algarve, 2016

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Esta investigación buscó, recolectó, analizó y sistematizó información, en español, sobre estudios empíricos delas Tics aplicadas a la enseñanza de las matemáticas. Se utilizó el método de la revisión sistemática; las unidades de estudio fueron los artículos y tesis de maestría publicados en los últimos 5 años,a los que se pudo acceder a través de repositorios digitales de la Universidad de Cuenca: EBSCO, SCOPUS y COBUEC;de los 219 estudiosencontrados, en base a los criterios de inclusión y exclusión, se seleccionaron 13 con el objetivo de integrar sistemáticamente la información, determinar el estado del arte, impacto, aportaciones y limitaciones en la enseñanza de las matemáticas. Los resultados más importantes queobtuvieron de esta investigación son:Es escasa la información en español sobre las Tics en la enseñanza de las matemáticas realizadas en estudios empíricos;en el Ecuador la mayoría de las tesis de maestría sobre esta temática son propuestas metodológicas o guías didácticas. En los estudios analizados,el software Geogebra es el más utilizado y los temas más abordados son función lineal y ecuaciones lineales y se veque todos los estudios generan aportaciones y limitaciones en los estudiantes durante las intervenciones con las Tics en el proceso de enseñanza aprendizaje. Se puede concluir que utilizar adecuadamente las Tics en la enseñanza de las matemáticas puede ayudar a mejorar aspectos motivacionales, actitudinales y académicos en los estudiantes, aunque todavía queda abierto un gran campo por estudiar sobre esta temática, tanto en el nivel básico, secundario y superior.