930 resultados para Information Technologies


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Multi-junction solar cells are widely used in high-concentration photovoltaic systems (HCPV) attaining the highest efficiencies in photovoltaic energy generation. This technology is more dependent on the spectral variations of the impinging Direct Normal Irradiance (DNI) than conventional photovoltaics based on silicon solar cells and consequently demands a deeper knowledge of the solar resource characteristics. This article explores the capabilities of spectral indexes, namely, spectral matching ratios (SMR), to spectrally characterize the annual irradiation reaching a particular location on the Earth and to provide the necessary information for the spectral optimization of a MJ solar cell in that location as a starting point for CPV module spectral tuning. Additionally, the relationship between such indexes and the atmosphere parameters, such as the aerosol optical depth (AOD), precipitable water (PW), and air mass (AM), is discussed using radiative transfer models such as SMARTS to generate the spectrally-resolved DNI. The network of ground-based sun and sky-scanning radiometers AERONET (AErosol RObotic NETwork) is exploited to obtain the atmosphere parameters for a selected bunch of 34 sites worldwide. Finally, the SMR indexes are obtained for every location, and a comparative analysis is carried out for four architectures of triple junction solar cells, covering both lattice match and metamorphic technologies. The differences found among cell technologies are much less significant than among locations.

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As the telecommunications industry evolves over the next decade to provide the products and services that people will desire, several key technologies will become commonplace. Two of these, automatic speech recognition and text-to-speech synthesis, will provide users with more freedom on when, where, and how they access information. While these technologies are currently in their infancy, their capabilities are rapidly increasing and their deployment in today's telephone network is expanding. The economic impact of just one application, the automation of operator services, is well over $100 million per year. Yet there still are many technical challenges that must be resolved before these technologies can be deployed ubiquitously in products and services throughout the worldwide telephone network. These challenges include: (i) High level of accuracy. The technology must be perceived by the user as highly accurate, robust, and reliable. (ii) Easy to use. Speech is only one of several possible input/output modalities for conveying information between a human and a machine, much like a computer terminal or Touch-Tone pad on a telephone. It is not the final product. Therefore, speech technologies must be hidden from the user. That is, the burden of using the technology must be on the technology itself. (iii) Quick prototyping and development of new products and services. The technology must support the creation of new products and services based on speech in an efficient and timely fashion. In this paper I present a vision of the voice-processing industry with a focus on the areas with the broadest base of user penetration: speech recognition, text-to-speech synthesis, natural language processing, and speaker recognition technologies. The current and future applications of these technologies in the telecommunications industry will be examined in terms of their strengths, limitations, and the degree to which user needs have been or have yet to be met. Although noteworthy gains have been made in areas with potentially small user bases and in the more mature speech-coding technologies, these subjects are outside the scope of this paper.

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The interaction between globally available information and public library users is a changing one. Global information is readily available yet provider and user struggle to find efficiencies of time and resources. As a primary resource of global information the Denver Public Library (DPL) is approaching this challenge by providing changing technology to a changing user and by providing a customized approach to immigrant populations. DPL provides global information to library users through collections, programs and Internet. Internet and collections global information usage cannot be directly measured due to privacy restrictions. Only 12.5% of general user programs focus on global information. Four percent of budget serves the immigrant users. This is greater than national averages.

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The goal of the project is to analyze, experiment, and develop intelligent, interactive and multilingual Text Mining technologies, as a key element of the next generation of search engines, systems with the capacity to find "the need behind the query". This new generation will provide specialized services and interfaces according to the search domain and type of information needed. Moreover, it will integrate textual search (websites) and multimedia search (images, audio, video), it will be able to find and organize information, rather than generating ranked lists of websites.

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The robotics is one of the most active areas. We also need to join a large number of disciplines to create robots. With these premises, one problem is the management of information from multiple heterogeneous sources. Each component, hardware or software, produces data with different nature: temporal frequencies, processing needs, size, type, etc. Nowadays, technologies and software engineering paradigms such as service-oriented architectures are applied to solve this problem in other areas. This paper proposes the use of these technologies to implement a robotic control system based on services. This type of system will allow integration and collaborative work of different elements that make up a robotic system.

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This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.

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New technologies have transformed teaching processes and enabled new ways of study and learning. In these activities, it is suspected that the students don't make good use of new available technologies or, in the best case, they are underused. The analysis of this issue with the design of strategies to correct any defects found is the motivation that supports the development of this work and the main purpose of it. Evaluate information search habits used by the student and analyse their deduct synthesis and processing capabilities of the results found. The researchers of this study are university teachers of first year subjects, which allows them to know the information search performances by students.

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The objective of this thesis is to understand the impact of satisfaction with innovative benefits on the intention to stay of the information and communications technology industry (ICT) workers. In order to investigate this question, a general research hypothesis was presented based on a literature review and on Blau’s social exchange theory (1964) and Maslow’s theory of needs (1943). The general research hypothesis states that satisfaction with innovative benefits increases intention to stay through time. The data used in this thesis were collected as part of a larger research on the relationships between compensation, training and skills development and attracting and retaining key employees. The longitudinal data come from an office located in Montreal of a major international company from the ICT sector. The study population consists of workers newly hired between April 1st, 2009 and September 30th, 2010. The results confirm the research hypothesis showing that satisfaction with innovative benefits increase intention to stay through time. Among the various innovative benefits studied, the results indicate that it is the satisfaction with the gym at work that best predicts intention to stay of workers. Other innovative benefits significantly related to intention to stay are the games library, the lounge, the medical clinic and the library in the workplace. Also, longitudinal analyses reveal that it is mainly the differences between the individual characteristics of the employees who best explain intention to stay than the differences across time of the same worker. This thesis concludes by discussing the best way for industrial relations managers to use the results in order to retain their employees. Then, the limits of the study and some directions for further research are also presented.

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In order to increase the use of information and communication technologies (ICT) in the European Union Member States, the European Commission, on the initiative of Commissioner E. Liikannen, launched in December 1999 a bold programme called “eEurope”. Soon after its creation, the eEurope programme was integrated into the so- called Lisbon agenda for Europe to become the “most advanced knowledge based economy” in the world. We try to assess if the programme is successful in achieving its stated objective of promoting a knowledge based economy through the development of an “information society for all”. First, we conclude that eEurope, due to its origins and its procedures, has intrinsic limits both as regards its scope and effectiveness. Second, we show how Member States have adopted different trajectories towards the “knowledge based society”. To identify these heterogeneous paths of growth, we have selected a set of variables that, combined together, represent the institutional arrangements specific to a country or a group of countries. We found sharp differences between two advanced models that we label, respectively, as Scandinavian and Anglo-Saxon. Without asserting the superiority of a model, we propose policy orientations to help Europe overcome those gaps hindering the move towards knowledge economies where information society technologies are widely diffused.

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The objective of this thesis is to understand the impact of satisfaction with innovative benefits on the intention to stay of the information and communications technology industry (ICT) workers. In order to investigate this question, a general research hypothesis was presented based on a literature review and on Blau’s social exchange theory (1964) and Maslow’s theory of needs (1943). The general research hypothesis states that satisfaction with innovative benefits increases intention to stay through time. The data used in this thesis were collected as part of a larger research on the relationships between compensation, training and skills development and attracting and retaining key employees. The longitudinal data come from an office located in Montreal of a major international company from the ICT sector. The study population consists of workers newly hired between April 1st, 2009 and September 30th, 2010. The results confirm the research hypothesis showing that satisfaction with innovative benefits increase intention to stay through time. Among the various innovative benefits studied, the results indicate that it is the satisfaction with the gym at work that best predicts intention to stay of workers. Other innovative benefits significantly related to intention to stay are the games library, the lounge, the medical clinic and the library in the workplace. Also, longitudinal analyses reveal that it is mainly the differences between the individual characteristics of the employees who best explain intention to stay than the differences across time of the same worker. This thesis concludes by discussing the best way for industrial relations managers to use the results in order to retain their employees. Then, the limits of the study and some directions for further research are also presented.

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Mode of access: Internet.

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Mode of access: Internet.