903 resultados para memory-based networks


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While it is generally agreed that perception can occur without awareness, there continues to be debate about the type of representational content that is accessible when awareness is minimized or eliminated. Most investigations that have addressed this issue evaluate access to well-learned representations. Far fewer studies have evaluated whether or not associations encountered just once prior to testing might also be accessed and influence behavior. Here, eye movements were used to examine whether or not memory for studied relationships is evident following the presentation of subliminal cues. Participants (assigned to experimental or control groups) studied scene-face pairs and test trials evaluated implicit and explicit memory for these pairs. Each test trial began with a subliminal scene cue, followed by three visible studied faces. For experimental group participants, one face was the studied associate of the scene (implicit test); for controls none were a match. Subsequently, the Display containing a match was presented to both groups, but now it was preceded by a visible scene cue (explicit test). Eye movements were recorded and recognition Memory responses were made. Participants in the experimental group looked disproportionately at matching faces on implicit test trials and participants from both groups looked disproportionately at matching faces on explicit test trials, even when that face had not been successfully identified as the associate. Critically, implicit memory-based viewing effects seemed not to depend on residual awareness of subliminal scenes cues, as subjective and objective measures indicated that scenes were successfully masked from view. The reported outcomes indicate that memory for studied relationships can be expressed in eye movement behavior without awareness.

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Advertising investment and audience figures indicate that television continues to lead as a mass advertising medium. However, its effectiveness is questioned due to problems such as zapping, saturation and audience fragmentation. This has favoured the development of non-conventional advertising formats. This study provides empirical evidence for the theoretical development. This investigation analyzes the recall generated by four non-conventional advertising formats in a real environment: short programme (branded content), television sponsorship, internal and external telepromotion versus the more conventional spot. The methodology employed has integrated secondary data with primary data from computer assisted telephone interviewing (CATI) were performed ad-hoc on a sample of 2000 individuals, aged 16 to 65, representative of the total television audience. Our findings show that non-conventional advertising formats are more effective at a cognitive level, as they generate higher levels of both unaided and aided recall, in all analyzed formats when compared to the spot.

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Wireless sensor networks (WSNs) are the key enablers of the internet of things (IoT) paradigm. Traditionally, sensor network research has been to be unlike the internet, motivated by power and device constraints. The IETF 6LoWPAN draft standard changes this, defining how IPv6 packets can be efficiently transmitted over IEEE 802.15.4 radio links. Due to this 6LoWPAN technology, low power, low cost micro- controllers can be connected to the internet forming what is known as the wireless embedded internet. Another IETF recommendation, CoAP allows these devices to communicate interactively over the internet. The integration of such tiny, ubiquitous electronic devices to the internet enables interesting real-time applications. This thesis work attempts to evaluate the performance of a stack consisting of CoAP and 6LoWPAN over the IEEE 802.15.4 radio link using the Contiki OS and Cooja simulator, along with the CoAP framework Californium (Cf). Ultimately, the implementation of this stack on real hardware is carried out using a raspberry pi as a border router with T-mote sky sensors as slip radios and CoAP servers relaying temperature and humidity data. The reliability of the stack was also demonstrated during scalability analysis conducted on the physical deployment. The interoperability is ensured by connecting the WSN to the global internet using different hardware platforms supported by Contiki and without the use of specialized gateways commonly found in non IP based networks. This work therefore developed and demonstrated a heterogeneous wireless sensor network stack, which is IP based and conducted performance analysis of the stack, both in terms of simulations and real hardware.

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Os distúrbios psiquiátricos constituem um grave problema de saúde pública. Por muitos anos, a única terapêutica disponível ao portador de transtornos mentais era a internação em hospitais psiquiátricos. Hoje a Organização Mundial de Saúde recomenda os serviços de base comunitária como modelo de tratamento em saúde mental. Assim, o objetivo é descrever as características de uma rede de atenção à saúde mental de base comunitária no município de Santo André, SP. Foi realizado um estudo retrospectivo do tipo descritivo, em dados secundários do período de 1987 a 2006. O estudo incidiu sobre o histórico, a infra-estrutura, os recursos humanos, a produção, as práticas e processos de trabalho dos serviços de saúde mental de Santo André. Foram analisados documentos do Programa Municipal de Saúde Mental, da Secretaria Municipal de Saúde, da Prefeitura de Santo André, da Associação José Martins de Araújo Júnior-Organização Social De Volta Para Casa. A Secretaria Municipal de Saúde proveu meios para uma transformação dos serviços de saúde mental no período estudado, partindo de um atendimento exclusivamente manicomial para uma rede de serviços de saúde mental com modelo centrado na comunidade, focando a doença no aspecto psicossocial e com abordagem por equipe multiprofissional. Estas ações no município de Santo André foram corroborativas aos esforços da sociedade civil e o pleno desenvolvimento da mudança do modelo hospitalocêntrico

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Virtual and augmented reality (VR/AR) are increasingly being used in various business scenarios and are important driving forces in technology development. However the usage of these technologies in the home environment is restricted due to several factors including lack of low-cost (from the client point of view) highperformance solutions. In this paper we present a general client/server rendering architecture based on Real-Time concepts, including support for a wide range of client platforms and applications. The idea of focusing on the real-time behaviour of all components involved in distributed IP-based VR scenarios is new and has not been addressed before, except for simple sub-solutions. This is considered as “the most significant problem with the IP environment” [1]. Thus, the most important contribution of this research will be the holistic approach, in which networking, end-systems and rendering aspects are integrated into a cost-effective infrastructure for building distributed real-time VR applications on IP-based networks.

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Multi-standard mobile devices are allowing users to enjoy higher data rates with ubiquitous connectivity. However, the benefits gained from multiple interfaces come at an expense—that being higher energy consumption in an era where mobile devices need to be energy compliant. One promising solution is the usage of short-range cooperative communication as an overlay for infrastructure-based networks taking advantage of its context information. However, the node discovery mechanism, which is pivotal to the bearer establishment process, still represents a major burden in terms of the total energy budget. In this paper, we propose a technology agnostic approach towards enhancing the MAC energy ratings by presenting a context-aware node discovery (CANDi) algorithm, which provides a priori knowledge towards the node discovery mechanism by allowing it to search nodes in the near vicinity at the ‘right time and at the right place’. We describe the different beacons required for establishing the cooperation, as well as the context information required, including battery level, modes, location and so on. CANDi uses the long-range network (WiMAX and WiFi) to distribute the context information about cooperative clusters (Ultra-wideband-based) in the vicinity. The searching nodes can use this context in locating the cooperative clusters/nodes, which facilitates the establishing of short-range connections. Analytical and simulation results are obtained, and the energy saving gains are further demonstrated in the laboratory using a customised testbed. CANDi saves up to 50% energy during the node discovery process, while the demonstrative testbed shows up to 75% savings in the total energy budget, thus validating the algorithm, as well as providing viable evidence to support the usage of short-range cooperative communications for energy savings.

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Dissertation presented to obtain the PhD degree in Electrical and Computer Engineering - Electronics

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In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

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As the complexity of markets and the dynamicity of systems evolve, the need for interoperable systems capable of strengthening enterprise communication effectiveness increases. This is particularly significant when it comes to collaborative enterprise networks, like manufacturing supply chains, where several companies work, communicate, and depend on each other, in order to achieve a specific goal. Once interoperability is achieved, that is once all network parties are able to communicate with and understand each other, organisations are able to exchange information along a stable environment that follows agreed laws. However, as markets adapt to new requirements and demands, an evolutionary behaviour is triggered giving space to interoperability problems, thus disrupting the sustainability of interoperability and raising the need to develop monitoring activities capable of detecting and preventing unexpected behaviour. This work seeks to contribute to the development of monitoring techniques for interoperable SOA-based enterprise networks. It focuses on the automatic detection of harmonisation breaking events during real-time communications, and strives to develop and propose a methodological approach to handle these disruptions with minimal or no human intervention, hence providing existing service-based networks with the ability to detect and promptly react to interoperability issues.

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Studies in Computational Intelligence, 616

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IP based networks still do not have the required degree of reliability required by new multimedia services, achieving such reliability will be crucial in the success or failure of the new Internet generation. Most of existing schemes for QoS routing do not take into consideration parameters concerning the quality of the protection, such as packet loss or restoration time. In this paper, we define a new paradigm to develop new protection strategies for building reliable MPLS networks, based on what we have called the network protection degree (NPD). This NPD consists of an a priori evaluation, the failure sensibility degree (FSD), which provides the failure probability and an a posteriori evaluation, the failure impact degree (FID), to determine the impact on the network in case of failure. Having mathematical formulated these components, we point out the most relevant components. Experimental results demonstrate the benefits of the utilization of the NPD, when used to enhance some current QoS routing algorithms to offer a certain degree of protection

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INTRODUCTION: Interindividual variations in regional structural properties covary across the brain, thus forming networks that change as a result of aging and accompanying neurological conditions. The alterations of superficial white matter (SWM) in Alzheimer's disease (AD) are of special interest, since they follow the AD-specific pattern characterized by the strongest neurodegeneration of the medial temporal lobe and association cortices. METHODS: Here, we present an SWM network analysis in comparison with SWM topography based on the myelin content quantified with magnetization transfer ratio (MTR) for 39 areas in each hemisphere in 15 AD patients and 15 controls. The networks are represented by graphs, in which nodes correspond to the areas, and edges denote statistical associations between them. RESULTS: In both groups, the networks were characterized by asymmetrically distributed edges (predominantly in the left hemisphere). The AD-related differences were also leftward. The edges lost due to AD tended to connect nodes in the temporal lobe to other lobes or nodes within or between the latter lobes. The newly gained edges were mostly confined to the temporal and paralimbic regions, which manifest demyelination of SWM already in mild AD. CONCLUSION: This pattern suggests that the AD pathological process coordinates SWM demyelination in the temporal and paralimbic regions, but not elsewhere. A comparison of the MTR maps with MTR-based networks shows that although, in general, the changes in network architecture in AD recapitulate the topography of (de)myelination, some aspects of structural covariance (including the interhemispheric asymmetry of networks) have no immediate reflection in the myelination pattern.

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IP-verkko asettaa uusia vaatimuksia palveluntarjoajille multimedianeu-vottelupalvelujen toteuttamisessa. Samalla kuitenkin mahdollistuu myös ominaisuuksia, joita ei ole aikaisemmin voitu toteuttaa. Keskeinen elementti IP-pohjaisille on H.323-suosituk-seen pohjautuva MCU. Tässä työssä esitellään ja vertaillaan multimedianeuvottelupalveluissa ennen ja nykyään käytettyä tekniikkaa. Huomiota kiinnitetään myös neuvottelukulttuuriin ja multimedianeuvotteluissa tarvittaviin rooleihin. Työn käytännön osuudessa toteutettiin prototyyppi neuvottelupalvelusta, joka hyödyntää IP-maailman mahdollistamia uusia ominaisuuksia. Toteutuksen suunnitteluun, määrittelyyn ja dokumentointiin käytettiin UML-kieltä. Ohjelmointikielenä käytettiin Javaa.

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Soneran IP-viestintäverkko on monipuolisia viestintäpalveluita asiakkaille tarjoava palvelualusta. Palveluihin kuuluvat ITU-T:n H.323-suosituksen mukaiset ääni- ja videopuhelut. Työssä toteutettiin viestintäverkkoon kokonaisuus, joka tarjoaa verkon käyttäjille puheluiden kytkennän ja reitityksen sekä useita älykkäitä palveluita. Kokonaisuus koostuu kahdesta komponentista. Puheluiden kytkemisen ja reitityksen sekä signaloinnin hoitaa H.323-suosituksen mukainen yhteyspalvelin Sonera Gatekeeper. Palvelujen toteuttamiseen tarvittavat tiedot säilytetään LDAP-hakemistossa. Työssä esitellään yleisimpiä suosituksia, joita käytetään äänen, videokuvan ja muun median siirtämiseen tietoverkoissa. Tarkimmin käsitellään H.323-suositusta ja muita työssä käytettyjä suosituksia. Lisäksi tarkastellaan työssä hyödynnettyjä ohjelmointirajapintoja ja vertaillaan toteutettua IP-pohjaista älykkäiden palvelujen toteutustapaa tavallisen puhelinverkon asiakkaille vastaavia palveluita tarjoavaan älyverkkoon. Lopuksi esitellään toteutettujen ohjelmistojen rakennetta.

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Alueellinen yrityskeskittymä sisältää monenlaisia yhteistyöverkostoja siinä toimivien yritysten välillä. Olemassa olevien verkosto- ja tietojohtamisteorioiden pohjalta yhteistyöverkostot jaettiin niiden perustehtävän mukaan kolmeen eri päätyyppiin, jotka ovat tuottaja-, kehittäjä- ja innovaatioverkosto. Tutkimusongelmana oli määrittää, voidaanko verkostoja eritellä niiden perustehtävän mukaan ja näkyykö perustehtävän erilaisuus niiden organisoitumis- ja kommunikointitavassa. Tutkimuskohteena oli kasvava puualan keskittymä, Imatran Seudun Koivukeskus. Tutkimusmenetelmänä käytettiin tapaustutkimusta ja aineistonkeruumenetelmänä teemahaastattelua. Aineistoa käsiteltiin käyttämällä menetelmänä profilointia ja teemoittelua. Tutkimuksen perusteella voitiin alueelta erottaa selvästi kolme verkostojen päätyyppiä, jotka toimivat alueella tietoa luovana, välittävänä ja soveltavana tasona. Päätyyppien välillä havaittiin eroja, kun kriteereinä käytettiin verkostojen suhteita, osaamista, tiedonkulkua ja johtajuutta. Koivukeskukselle erityisen tärkeänä verkostotyyppinä pidettiin kehittäjäverkostoa, sillä se toimii alueen sosiaalisen pääoman kasvualustana ja täten auttaa muiden verkostotyyppien kehittymistä. Mikäli kaikki päätyypit saadaan toimi-maan tehokkaasti, alueen innovaatioverkostossa syntyvät uudet prosessi- ja tuoteinnovaatiot ovat välittömästi siirrettävissä tehostamaan tuotantoa. Alueellinen yrityskeskittymä sisältää kaikkia edellä mainittuja verkostotyyppejä, ja yksittäinen toimija voi kuulua samanaikaisesti kaikkiin verkostotyyppeihin. Johtopäätöksenä esitettiin, että alueellisen yrityskeskittymän kilpailuetu syntyy alueen sisälle muodostuvien tuottaja-, kehittäjä- ja innovaatioverkoston kautta. Alueellisen yrityskeskittymän verkostopohjaisen kehittämisen avuksi kehitettiin yksinkertainen työkalu.