Comunicação organizacional, informação e responsabilidade social: uma nova relação

Study on the Organizational Communication and the information from the perspective of the corporate social responsibility (CSR). Presumes that the CSR to be incorporated into a process of business management involves a transformation in the ways of communication and information management. The objective is to think about the essential function of the communication and information as strategic competences of socially responsible companies, in the knowledge generation, in the value creation and in the incorporation of awareness of ethical conduct and company’s corporate, as reflector of its organizational culture, reflected to its stakeholders.

Análise teórico-descritiva da competência em informação de gestores como fator de competitividade das indústrias de eletroeletrônicos da cidade de Garça/SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A gestão do fluxo das informações contábeis-financeiras como subsídio do processo de decisão: estudo de caso em uma instituição de ensino superior do terceiro setor

Pós-graduação em Ciência da Informação - FFC

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Vocabulário controlado para arquivos: análise de viabilidade e propostas

Pós-graduação em Ciência da Informação - FFC

Pedigree analysis and inbreeding depression on growth traits in Brazilian Marchigiana and Bonsmara breeds

The study of population structure by pedigree analysis is useful to identify important circumstances that affect the genetic history of populations. The intensive use of a small number of superior individuals may reduce the genetic diversity of populations. This situation is very common for the beef cattle breeds. Therefore, the objectives of the present study were to analyze the pedigree and possible inbreeding depression on traits of economic interest in the Marchigiana and Bonsmara breeds and to test the inclusion of the individual inbreeding coefficient (F-i) or individual increases in inbreeding coefficient (Delta F-i) in the genetic evaluation model for the quantification of inbreeding depression. The complete pedigree file of the Marchigiana breed included 29,411 animals born between 1950 and 2003. For the Bonsmara breed, the pedigree file included 18,695 animals born between 1988 and 2006. Only animals with at least 2 equivalent generations of known pedigree were kept in the analyses of inbreeding effect on birth weight, weaning weight measured at about 205 d, and BW at 14 mo in the Marchigiana breed, and on birth weight, weaning weight, and scro-tal circumference measured at 12 mo in the Bonsmara breed. The degree of pedigree knowledge was greater for Marchigiana than for Bonsmara animals. The average generation interval was 7.02 and 3.19 for the Marchigiana and Bonsmara breed, respectively. The average inbreeding coefficient was 1.33% for Marchigiana and 0.26% for Bonsmara. The number of ancestors explaining 50% of the gene pool and effective population size computed via individual increase in coancestry were 13 and 97.79 for Marchigiana and 41 and 54.57 for Bonsmara, respectively. These estimates indicate reduction in genetic variability in both breeds. Inbreeding depression was observed for most of the growth traits. The model including Delta F-i can be considered more adequate to quantify inbreeding depression. The inclusion of F-i or Delta F-i in the genetic evaluation model may not result in better fit to the data. A genetic evaluation with simultaneous estimation of inbreeding depression can be performed in Marchigiana and Bonsmara breeds, providing additional information to producers and breeders.

Processos dependentes de informação em empresas incubadas e graduadas de base tecnológica: um estudo comparativo de casos

A competitividade, atualmente, introduz novos comportamentos e leva empresas a uma situação de desconforto e, muitas vezes, a não adaptação às exigências ambientais. Percebe-se um crescente número de desafios associados com o controle de informação em organizações com atividades de engenharia, em particular os volumes crescentes de informação de natureza continuamente mutável. Pode-se afirmar que o desempenho inovador de uma organização é diretamente proporcional a sua capacidade de gerenciar informações. Desta forma, a importância da gestão da informação é reconhecida em detrimento da procura de meios mais competentes para atender demandas atuais. O artigo teve como propósito analisar doze processos dependentes de informação em empresas de base tecnológica, através das principais fases do processo de gerenciamento da informação. Optou-se pelo emprego do método comparativo de casos e pela pesquisa qualitativa, realizada em nove empresas de base tecnológica, as quais se encontravam incubadas ou que passaram recentemente pela fase de incubação no Parque Tecnológico da cidade de São Carlos, do estado de São Paulo. Entre os principais resultados, constatou-se que, nas empresas graduadas, a gestão da informação e seus procedimentos foram identificados de forma mais consciente e estruturados em relação às empresas incubadas.

Gestor web de recursos geoespaciales con tecnología Openlayers

[ES] El objetivo de este Trabajo Final de Grado (TFG) es la creación de un prototipo de aplicación web para la gestión de recursos geoespaciales. Esta propuesta surgió a partir de la necesidad de disponer de una herramienta que no tuviera que ser instalada en un dispositivo, sino servida por un servidor web, permitiendo su acceso desde cualquier parte y dispositivo. El resultado fue el Gestor Web de Recursos Geoespaciales con Tecnología OpenLayers, una aplicación que combina diversas herramientas (OpenLayers, GeoServer, PostgreSQL, jQuery…) – todas ellas basadas en Software Libre – para cumplir funcionalidades como la creación de primitivas vectoriales sobre un mapa, gestión y visualización de la información asociada, edición de estilos, modificación de coordenadas, etc. siendo todas éstas funcionalidades características de un Sistema de Información Geográfica (SIG) y ofreciendo una interfaz de uso cómoda y eficaz, que abstraiga al usuario de detalles internos y complejos. El material desarrollado dispone del potencial necesario para convertirse en una solución a las necesidades de gestión de información geoespacial de la ULPGC, especialmente en el campus de Tafira, sobre el que se ha ejemplificado su uso. Además, a diferencia de las herramientas ofertadas por empresas como Google o Microsoft, esta aplicación está por completo bajo una licencia GNU GPL v3, lo que permite que se pueda indagar dentro de su código, mejorarlo y añadir funcionalidades a cualquier persona interesada.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

La didattica della traduzione specializzata dallo spagnolo in italiano: competenza traduttiva, genere testuale e nuove tecnologie

Il progetto di ricerca che presentiamo nasce dalla virtuosa combinazione di teoria e prassi didattica nello spirito della ricerca-azione. Scopo del presente lavoro è elaborare un percorso didattico di formazione alla traduzione specializzata in ambito medico-scientifico, tecnico ed economico-giuridico per la combinazione linguistica spagnolo-italiano all’interno della cornice istituzionale concreta dell’università italiana oggi. La nostra proposta formativa si fonda su tre elementi: la ricognizione del mercato attuale della traduzione per la combinazione linguistica indicata, l’individuazione degli obiettivi formativi in base al modello di competenza traduttiva scelto, l’elaborazione del percorso didattico per competenze e basato sull’enfoque por tareas di traduzione. Nella progettazione delle modalità didattiche due sono gli aspetti che definiscono il percorso proposto: il concetto di genere testuale specializzato per la traduzione e la gestione delle informazioni mediante le nuove tecnologie (corpora, banche dati terminologiche e fraseologiche, memorie di traduzione, traduzione controllata). Il presente lavoro si articola in due parti: la prima parte (quattro capitoli) presenta l’inquadramento teorico all’interno del quale si sviluppa la riflessione intorno alla didattica della traduzione specializzata; la seconda parte (due capitoli) presenta l’inquadramento metodologico e analitico all’interno del quale si elabora la nostra proposta didattica. Nel primo capitolo si illustrano i rapporti fra traduzione e mondo professionale; nel secondo capitolo si presenta il concetto di competenza traduttiva come ponte tra la formazione e il mondo della traduzione professionale; nel terzo capitolo si ripercorrono le tappe principali dell’evoluzione della didattica della traduzione generale; nel quarto capitolo illustriamo alcune tra le più recenti e complete proposte didattiche per la traduzione specializzata in ambito tecnico, medico-scientifico ed economico-giuridico. Nel quinto capitolo si introduce il concetto di genere testuale specializzato per la traduzione e nel sesto capitolo si illustra la proposta didattica per la traduzione specializzata dallo spagnolo in italiano che ha motivato il presente lavoro.

E-Learning 2.0 in hydraulic engineering education

In this contribution the experiences with e-Learning 2.0 applications by using a Wiki for the education in hydraulic engineering are shown. Up to now important information for the students has been prepared by the instructor. For this project the students were asked to collaborate and search on their own for the information they needed. Therefore a Wiki-system was used. For the engineering practice a self dependent realisation of tasks is an important requirement which students should be prepared for. With the help of online communication there should be shown the possibilities for students for working together in an interdisciplinary team. The positive experiences as well as the results of the evaluation of this project plead for a continuation of the application of e-Learning 2.0 for education. The comparison of results of tests without using Wiki and with using Wiki shows a qualitative tendency of better marks. In this contribution we present the application of Wiki in hydraulic engineering but the results can also be used for other engineering disciplines.

Integriertes Informationsmanagement für Bildungseinrichtungen

Der CampusSource Workshop fand vom 10. bis 12. Oktober 2006 an der Westfälischen Wilhelms Universität (WWU) in Münster statt. Kernpunkte der Veranstaltung waren die Entwicklung einer Engine zur Verknüpfung von e-Learning Anwendungen mit Systemen der HIS GmbH und die Erstellung von Lehr- und Lerninhalten mit dem Ziel der Wiederverwendung. Im zweiten Kapitel sind Vorträge der Veranstaltung im Adobe Flash Format zusammengetragen. Zur Betrachtung der Vorträge ist der Adobe Flash Player, mindestens in der Version 6 erforderlich

Stud.IP

Dieser Beitrag beschreibt die Konzeption, den Funktionsumfang und Erfahrungswerte der Open-Source-eLearning-Plattform Stud.IP. Der Funktionsumfang umfasst für jede einzelne Veranstaltung Ablaufpläne, das Hochladen von Hausarbeiten, Diskussionsforen, persönliche Homepages, Chaträume u.v.a. Ziel ist es hierbei, eine Infrastruktur des Lehrens und Lernens anzubieten, die dem Stand der Technik entspricht. Wissenschaftliche Einrichtungen finden zudem eine leistungsstarke Umgebung zur Verwaltung ihres Personals, Pflege ihrer Webseiten und der automatischer Erstellung von Veranstaltungs- oder Personallisten vor. Betreiber können auf ein verlässliches Supportsystem zugreifen, dass sie an der Weiterentwicklung durch die Entwickler- und Betreiber-Community teilhaben lässt.

Distributed Repositories for Educational Content

As education providers increasingly integrate digital learning media into their education processes, the need for the systematic management of learning materials and learning arrangements becomes clearer. Digital repositories, often called Learning Object Repositories (LOR), promise to provide an answer to this challenge. This article is composed of two parts. In this part, we derive technological and pedagogical requirements for LORs from a concretization of information quality criteria for e-learning technology. We review the evolution of learning object repositories and discuss their core features in the context of pedagogical requirements, information quality demands, and e-learning technology standards. We conclude with an outlook in Part 2, which presents concrete technical solutions, in particular networked repository architectures.

IT-KompetenzBarometer

Die kurzen Technologiezyklen in der IT-Industrie stellen Unternehmen vor das Problem, Mitarbeiter zeit- und themenadäquat weiter zu qualifizieren. Für Bildungsanbieter erwächst damit die Herausforderung, relevante Bildungsthemen möglichst frühzeitig zu identifizieren, ökonomisch zu bewerten und ausgewählte Themen in Form geeigneter Bildungsangebote zur Marktreife zu bringen. Zur Handhabung dieser Problematik wurde an der Hochschule für Telekommunikation Leipzig (HfTL), die sich in Trägerschaft der Deutsche Telekom AG befindet, ein innovatives Analyseinstrument entwickelt. Mit diesem Instrument, dem IT-KompetenzBarometer, werden Stellenanzeigen, die in Jobportalen online publiziert werden, ausgelesen und mithilfe von Text Mining-Methoden untersucht. Auf diese Weise können Informationen gewonnen werden, die differenzierte Auskunft über die qualitativen Kompetenzanforderungen zentraler Berufsbilder des IT-Sektors liefern. Dieser Beitrag stellt Ergebnisse vor, die durch Analyse von mehr als 40.000 Stellenanzeigen für IT-Fachkräfte aus Jobportalen im Zeitraum von Juni-September 2012 gewonnen werden konnten. Diese Ergebnisse liefern eine Informationsgrundlage, um marktrelevante Bildungsthemen zu identifizieren, sodass Bildungsangebote erfolgreich gestaltet und weiterentwickelt werden können.