944 resultados para Smartphones -- Programming
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Given the growing demand for the development of mobile applications, driven by use increasingly common in smartphones and tablets grew in society the need for remote data access in full in the use of mobile application without connectivity environments where there is no provision network access at all times. Given this reality, this work proposes a framework that present main functions are the provision of a persistence mechanism, replication and data synchronization, contemplating the creation, deletion, update and display persisted or requested data, even though the mobile device without connectivity with the network. From the point of view of the architecture and programming practices, it reflected in defining strategies for the main functions of the framework are met. Through a controlled study was to validate the solution proposal, being found as the gains in reducing the number of lines code and the amount of time required to perform the development of an application without there being significant increase for the operations.
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A pesquisa considera a difusão de celulares e smartphones e as consequências deste fato em possibilidades para o ensino-aprendizagem. Aparatos de comunicação sempre estiveram ligados ao processo de ensino-aprendizagem. Entretanto, com o desenvolvimento mais intenso, nas últimas décadas, das Tecnologias de Informação e Comunicação (TIC), essa relação vem ganhando novos contornos. Surge a Internet, a evolução das máquinas computacionais e, recentemente, a explosão dos dispositivos móveis, fornecendo novos produtos e serviços convergentes. Nesse contexto, celulares e smartphones tem sido utilizados e recomendados para apoio e complemento do processo de ensino-aprendizagem: a chamada Aprendizagem Móvel. Esse ramo cresce devido à rápida expansão e barateamento dessas tecnologias na sociedade. Para verificar cientificamente essa relação foi realizada uma pesquisa de natureza qualitativa, do tipo exploratória, com dois projetos de Aprendizagem Móvel em andamento no Brasil, o Palma – Programa de Alfabetização na Língua Materna e o Escola Com Celular – ECC. Assim, a partir dos dados provenientes da pesquisa, identificamos alguns aspectos relacionados ao uso de celulares e smartphones para o processo de ensino-aprendizagem que contribuem na compreensão desse campo ainda em construção no Brasil. O uso desses dispositivos como suporte para processos de ensino-aprendizagem nos projetos estudados é delineado pelos aspectos tecnologia, dispositivo, público e contexto e novas tecnologias e Aprendizagem Móvel. O aspecto dispositivo desdobra-se em dimensões como disseminação, multifuncionalidade e acessibilidade que embasam os projetos, ainda favorece características apontadas como importantes para o processo de ensino-aprendizagem na atualidade, como mobilidade e portabilidade. Os projetos pesquisados demonstram potencial e metodologia adequada aos contextos para os quais foram criados e aplicados. Entretanto, a pesquisa indicou que ao mesmo tempo em que celulares e smartphones representam o ápice da convergência tecnológica e são considerados extremamente populares e acessíveis na sociedade contemporânea, com possibilidades concretas como nos projetos estudados, não conseguiram conquistar uma posição sólida como suporte para o ensino-aprendizagem. Tal indicação se deve, de acordo com o corpus, à carência de alguns fatores, como: fomento, as práticas se mostram extremamente dependentes da iniciativa pública ou privada para sua extensão e continuidade; sensibilização para o uso de tecnologias disponíveis, não consideram o aparelho dos próprios alunos e um planejamento que inclua, capacite e incentive o uso desses dispositivos. Além disso, a pesquisa também destaca a necessidade de uma visão crítica do uso e papel da tecnologia nesses processos.
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Postprint
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Acknowledgements Financial support for composing this article was obtained from the Agriculture and Horticulture Development Board (AHDB, Beef and Lamb), UK. Concept of review was also initiated from discussions originating from EU COST Action FA1201, Epiconcept: Epigenetics and Periconception Environment
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General note: Title and date provided by Bettye Lane.
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Nucleic Acid hairpins have been a subject of study for the last four decades. They are composed of single strand that is
hybridized to itself, and the central section forming an unhybridized loop. In nature, they stabilize single stranded RNA, serve as nucleation
sites for RNA folding, protein recognition signals, mRNA localization and regulation of mRNA degradation. On the other hand,
DNA hairpins in biological contexts have been studied with respect to forming cruciform structures that can regulate gene expression.
The use of DNA hairpins as fuel for synthetic molecular devices, including locomotion, was proposed and experimental demonstrated in 2003. They
were interesting because they bring to the table an on-demand energy/information supply mechanism.
The energy/information is hidden (from hybridization) in the hairpin’s loop, until required.
The energy/information is harnessed by opening the stem region, and exposing the single stranded loop section.
The loop region is now free for possible hybridization and help move the system into a thermodynamically favourable state.
The hidden energy and information coupled with
programmability provides another functionality, of selectively choosing what reactions to hide and
what reactions to allow to proceed, that helps develop a topological sequence of events.
Hairpins have been utilized as a source of fuel for many different DNA devices. In this thesis, we program four different
molecular devices using DNA hairpins, and experimentally validate them in the
laboratory. 1) The first device: A
novel enzyme-free autocatalytic self-replicating system composed entirely of DNA that operates isothermally. 2) The second
device: Time-Responsive Circuits using DNA have two properties: a) asynchronous: the final output is always correct
regardless of differences in the arrival time of different inputs.
b) renewable circuits which can be used multiple times without major degradation of the gate motifs
(so if the inputs change over time, the DNA-based circuit can re-compute the output correctly based on the new inputs).
3) The third device: Activatable tiles are a theoretical extension to the Tile assembly model that enhances
its robustness by protecting the sticky sides of tiles until a tile is partially incorporated into a growing assembly.
4) The fourth device: Controlled Amplification of DNA catalytic system: a device such that the amplification
of the system does not run uncontrollably until the system runs out of fuel, but instead achieves a finite
amount of gain.
Nucleic acid circuits with the ability
to perform complex logic operations have many potential practical applications, for example the ability to achieve point of care diagnostics.
We discuss the designs of our DNA Hairpin molecular devices, the results we have obtained, and the challenges we have overcome
to make these truly functional.
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People go through their life making all kinds of decisions, and some of these decisions affect their demand for transportation, for example, their choices of where to live and where to work, how and when to travel and which route to take. Transport related choices are typically time dependent and characterized by large number of alternatives that can be spatially correlated. This thesis deals with models that can be used to analyze and predict discrete choices in large-scale networks. The proposed models and methods are highly relevant for, but not limited to, transport applications. We model decisions as sequences of choices within the dynamic discrete choice framework, also known as parametric Markov decision processes. Such models are known to be difficult to estimate and to apply to make predictions because dynamic programming problems need to be solved in order to compute choice probabilities. In this thesis we show that it is possible to explore the network structure and the flexibility of dynamic programming so that the dynamic discrete choice modeling approach is not only useful to model time dependent choices, but also makes it easier to model large-scale static choices. The thesis consists of seven articles containing a number of models and methods for estimating, applying and testing large-scale discrete choice models. In the following we group the contributions under three themes: route choice modeling, large-scale multivariate extreme value (MEV) model estimation and nonlinear optimization algorithms. Five articles are related to route choice modeling. We propose different dynamic discrete choice models that allow paths to be correlated based on the MEV and mixed logit models. The resulting route choice models become expensive to estimate and we deal with this challenge by proposing innovative methods that allow to reduce the estimation cost. For example, we propose a decomposition method that not only opens up for possibility of mixing, but also speeds up the estimation for simple logit models, which has implications also for traffic simulation. Moreover, we compare the utility maximization and regret minimization decision rules, and we propose a misspecification test for logit-based route choice models. The second theme is related to the estimation of static discrete choice models with large choice sets. We establish that a class of MEV models can be reformulated as dynamic discrete choice models on the networks of correlation structures. These dynamic models can then be estimated quickly using dynamic programming techniques and an efficient nonlinear optimization algorithm. Finally, the third theme focuses on structured quasi-Newton techniques for estimating discrete choice models by maximum likelihood. We examine and adapt switching methods that can be easily integrated into usual optimization algorithms (line search and trust region) to accelerate the estimation process. The proposed dynamic discrete choice models and estimation methods can be used in various discrete choice applications. In the area of big data analytics, models that can deal with large choice sets and sequential choices are important. Our research can therefore be of interest in various demand analysis applications (predictive analytics) or can be integrated with optimization models (prescriptive analytics). Furthermore, our studies indicate the potential of dynamic programming techniques in this context, even for static models, which opens up a variety of future research directions.
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Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.
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Smartphones have undergone a remarkable evolution over the last few years, from simple calling devices to full fledged computing devices where multiple services and applications run concurrently. Unfortunately, battery capacity increases at much slower pace, resulting as a main bottleneck for Internet connected smartphones. Several software-based techniques have been proposed in the literature for improving the battery life. Most common techniques include data compression, packet aggregation or batch scheduling, offloading partial computations to cloud, switching OFF interfaces (e.g., WiFi or 3G/4G) periodically for short intervals etc. However, there has been no focus on eliminating the energy waste of background applications that extensively utilize smartphone resources such as CPU, memory, GPS, WiFi, 3G/4G data connection etc. In this paper, we propose an Application State Proxy (ASP) that suppresses/stops the applications on smartphones and maintains their presence on any other network device. The applications are resumed/restarted on smartphones only in case of any event, such as a new message arrival. In this paper, we present the key requirements for the ASP service and different possible architectural designs. In short, the ASP concept can significantly improve the battery life of smartphones, by reducing to maximum extent the usage of its resources due to background applications.
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The Commercial and Industrial Network improvement and programming policy reflected in this summary report was adopted for use in future highway programming by the Transportation Commission on November 5, 1991. The Iowa Department of Transportation, as directed by the Legislature, has established a 2,331-mile network of commercial and industrial highways and is directing a significant amount of primary construction funding resources toward improvements to this network. This summary outlines the technical needs assessment for improvements on the Commercial and Industrial Network for the next 20-year period. The portions of the network which require four-lane capacity, as well as major improvements to the two-lane sections, are graphically displayed. Detailed improvement needs and costs are listed in tabular form for the first two five-year periods (1992-1996 and 1997-2001). It is essential to note that these improvement needs are the result of a technical assessment and do not imply any funding commitment.