Dissertations / Theses on the topic 'Computer networks. Selective dissemination of information'

Thesis (Ph. D.)--West Virginia University, 2004.
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In this dissertation research we study and address the unique challenges involved in information sharing and dissemination of large-scale group communication applications. We focus on system architectures and various techniques for efficient and scalable information dissemination in distributed P2P environments. Our solutions are developed by targeting at utilizing three representative P2P overlay networks: structured P2P network based on consistent hashing techniques, unstructured Gnutella-like P2P network, and P2P GeoGrid based on geographical location and proximity of end nodes. We have made three unique contributions to the general field of large-scale information sharing and dissemination. First, we propose a landmark-based peer clustering techniques to grouping end-system nodes by their network proximity, and a communication management technique addresses load balancing and reliability of group communication applications in structured P2P network. Second, we develop a utility-based P2P group communication service middleware, consisting of a utility-based topology management and a utility-aware P2P routing, for providing scalable and efficient group communication services in an unstructured P2P overlay network of heterogeneous peers. Third, we propose an overlay network management protocol that is aware of the geographical location of end-system nodes and a set of routing and adaptation techniques, aiming at building decentralized information dissemination service networks to support location-based applications and services. Although different overlay networks require different system designs for building scalable and efficient information dissemination services, we have employed two common design philosophies: (1) exploiting end-system heterogeneity and (2) utilizing proximity information of end-system nodes to localize most of the communication traffic, and (3) using randomized shortcuts to accelerate long-distant communications. We have demonstrated our design philosophies and the performance improvements in the above three types of P2P overlay networks. Concretely, by assigning more workloads to more powerful peers, we can greatly increase the system scalability and reduce the variation of workload distribution. By clustering end-system nodes based on their IP-network proximity or their geographical proximity, and utilizing randomized shortcuts, we can reduce the end-to-end communication latency, balance peer workloads against service request hotspots across the overlay network, and significantly enhance the scalability and efficiency of large-scale decentralized information dissemination and group communication.

In public warning message systems, information dissemination across the network is a critical aspect that has to be addressed. Dissemination of warning messages should be such that it reaches as many nodes in the network in a short time. In communication networks those based on device to device interactions, dissemination of the information has lately picked up lot of interest and the need for self organization of the network has been brought up. Self organization leads to local behaviors and interactions that have global effects and helps in addressing scaling issues. The use of self organized features allows autonomous behavior with low memory usage. Some examples of self organization phenomenon that are observed in nature are Lateral Inhibition and Flocking. In order to provide self organized features to communication networks, insights from such naturally occurring phenomenon is used. Achieving small world properties is an attractive way to enhance information dissemination across the network. In small world model rewiring of links in the network is performed by altering the length and the direction of the existing links. In an autonomous wireless environment such organization can be achieved using self organized phenomenon like Lateral inhibition and Flocking and beamforming (a concept in communication). Towards this, we first use Lateral Inhibition, analogy to Flocking behavior and beamforming to show how dissemination of information can be enhanced. Lateral Inhibition is used to create virtual regions in the network. Then using the analogy of Flocking rules, beam properties of the nodes in the regions are set. We then prove that small world properties are achieved using average path length metric. However, the proposed algorithm is applicable to static networks and Flocking and Lateral Inhibition concepts, if used in a mobile scenario, will be highly complex in terms of computation and memory. In a mobile scenario such as human mobility aided networks, the network structure changes frequently. In such conditions dissemination of information is highly impacted as new connections are made and old ones are broken. We thus use stability concept in mobile networks with beamforming to show how information dissemination process can be enhanced. In the algorithm, we first predict the stability of a node in the mobile network using locally available information and then uses it to identify beamforming nodes. In the algorithm, the low stability nodes are allowed to beamform towards the nodes with high stability. The difference between high and low stability nodes is based on threshold value. The algorithm is developed such that it does not require any global knowledge about the network and works using only local information. The results are validated using how quickly more number of nodes receive the information and different state of the art algorithms. We also show the effect of various parameters such as number of sources, number of packets, mobility parameters and antenna parameters etc. on the information dissemination process in the network. In realistic scenarios however, the dynamicity in the network is not only related to mobility. Dynamic conditions also arise due to change in density of nodes at a given time. To address effect of such scenario on the dissemination of information related to public safety in a metapopulation, we use the concepts of epidemic model, beamforming and the countrywide mobility pattern extracted from the $D4D$ dataset. Here, we also propose the addition of three latent states to the existing epidemic model ($SIR$ model). We study the transient states towards the evolution of the number of devices having the information and the difference in the number of devices having the information when compared with different cases to evaluate the results. Through the results we show that enhancements in the dissemination process can be achieved in the addressed scenario

While knowledge is one of an organization’s greatest assets, it remains a challenge to facilitate knowledge transfer between people within an organization. Social influence has been studied in its role of facilitating information diffusion, which is necessary for knowledge transfer to occur. Among this research, tie strength, a quantifiable characteristic of a social network that determines the link between two nodes, has been measured to determine the impact of social influence on knowledge transfer and information dissemination within a social network. Current research that explores the impact of social influence on information diffusion has been conducted within public social networks due to the availability of data that can be gathered from public social online network systems, such as Facebook. With the emergence of collaboration technologies that exist in online social network tools being utilized within organizations, there is an opportunity to digitally collect information regarding information dissemination within a collaborative network. This study captured data from an online social network, specifically a unified communication tool, being used within a collaborative social network at a mid-sized South Central corporation. A content analysis of Lync messages for 1,749 connections was performed to quantitatively measure the influence of tie strength on information dissemination within a collaborative social network. The results demonstrated that tie strength had a significant impact on information dissemination using a collaborative system. Multivariate analysis of variance showed that tie strength had the largest impact on information dissemination using the instant messaging modality of a collaboration system.

ICT has furthered the social and economic development of societies but, rural African communities have lagged behind due to issues such as sparse population, low household income, a lack of electricity and other basic infrastructure that make it unattractive for telecommunication service providers to extend service provision. Where the service is available, ubiquitous service coverage has not translated into ubiquitous access for individuals because of the associated costs. A community-wide WMN offering VoIP using fixed telephone handsets has been deployed as a viable alternative to the cellular service provider. The effectiveness of this WMN VoIP service springs from the mobile phone usage statistics which showed that the majority of calls made are intra-community. This dissertation has been an effort towards improved communication and access to information for the under-served communities. Key contributions include, mobile VoIP support, translation gateway deployment to make textual information accessible in voice form via the phone, IP-based radio for community information dissemination. The lack of electricity has been mitigated by the use of low-power devices. In order to circumvent the computational challenges posed by the processing and storage limitations of these devices, a decentralised system architecture whereby the processing and storage load are distributed across the mesh nodes has been proposed. High-performance equipment can be stationed at the closest possible place with electricity in the area and connectivity extended to the non-electrified areas using low-power mesh networking devices. Implementation techniques were investigated and performance parameters measured. The quality of service experienced by the user was assessed using objective methods and QoS correlation models. A MOS value of 4.29, i.e. very good, was achieved for the mobile VoIP call quality, with the underlying hardware supporting up to 15 point-to-point simultaneous calls using SIP and the G.711 based codec. Using the PEAQ algorithm to evaluate the IP-based radio, a PEAQ value of 4.15, i.e. good, was achieved. Streaming audio across the network reduces the available bandwidth by 8Kbps per client due to the unicast nature of streaming. Therefore, a multicast approach has been proposed for efficient bandwidth utilization. The quality of the text-to-voice service rendered by the translation gateway had a PESQ score of 1.6 i.e. poor. The poor performance can be attributed to the TTS engine implementation and also to the lack of robustness in the time-alignment module of the PESQ algorithm. The dissertation also proposes the use of the WMN infrastructure as a back-haul to isles of WSNs deployed in areas of interest to provide access to information about environmental variables useful in decision making.

Thesis (MPhil (General Linguistics))--University of Stellenbosch, 2011.
Bibliography
ENGLISH ABSTRACT: This thesis is interested in textual features of websites which cover the same kind of content, but represent different organisations and address different kinds of audiences. Specifically, it investigates how information on HIV/AIDS is multimodally represented on the webpages of two non-governmental organisations (NGOs) and two governmental organisations. First, the websites of the national Department of Health and of a provincial Department of Health (Western Province) are scrutinised. Second, the websites of the Treatment Action Campaign (TAC) and Avert, NGOs with a special interest in the prevention and treatment of HIV/AIDS in southern Africa, are investigated. The aim of the research is to consider aspects of layout, the use of multimodality, and the introduction of selected themes and concerns foregrounded in the selected websites. The focus of the thesis is on the transmission of information, particularly through the electronic media, by investigating multimodal elements (language, images, sound, colours) and the layouts of websites, in order to identify possible interpretations which the intended audiences may afford the various texts. The analysis of the sites relies theoretically on the metafunctions developed by Halliday (1985) in his systemic functional linguistic framework. It also refers to an extension of Halliday’s work developed to allow multimodal discourse analysis that considers aspects of visual design and placement, developed by Kress and van Leeuwen (1996, 1998) and Kress (2003, 2005). These approaches focus on text, multimodal elements, the placements thereof on a page as well as the coherence between design of layouts and communicative modes that intend to send a convincing and meaningful message. The thesis also refers to Critical Discourse Analysis in that it considers matters of language and power in internet based communication. It seems that the governmental sites are set up with an audience in mind who needs to be informed on policy matters, while the NGO sites are set up with a more vulnerable audience in mind. One kind of web-communication is likely to alienate the exact people who should be receiving state support and treatment in the face of HIV/AIDS. Another is aimed more at supporting activism against the perceived lethargy of the state. A third supports various charities that reach out to communities where HIV-infection rates are particularly high. The interpretation of multimodal pages requires knowledge of website design for educational purposes as well as information on usage of the internet to get sufficient information. Further, access of the intended audience to electronic communication needs to be considered as this will determine whether the seriousness of the illness and possible prevention or treatment, is well communicated, especially to those who have been identified as most vulnerable to new infection. The thesis finds that electronic communication cannot be the first step to circulating information related to HIV/AIDS. Non-governmental and governmental institutions are still dependent on other forms of media than websites, thus on the printed media, radio and television, and on campaigns or community based projects to communicate with particular audiences. Electronic communication is complex in that it works with various modes (visual, verbal, audial) and requires some technical sophistication from producers and receivers of texts. Theories of communication and discourse analytic methodologies can assist in our understanding of how the internet succeeds or fails in circulating critical health care information. However, to gain a reliable understanding of how the internet functions in transmitting HIV-information to all interest groups, received knowledge of other areas of scholarly interest in health care communication, such as multilingualism, sociology, anthropology, behavioural sciences, cognitive psychology or brain research elaborations, would eventually have to be considered as well.
AFRIKAANSE OPSOMMING: Hierdie tesis stel belang in tekstuele kenmerke van webwerwe wat dieselfde tipe inhoud weergee, maar verskillende organisasies verteenwoordig en verskillende tipes gehore aanspreek. Dit ondersoek spesifiek hoe inligting oor MIV/Vigs multimodaal op die webbladsye van twee nie-regeringsorganisasies (NRO’s) en twee regeringsorganisasies aangebied word. Die webwerwe van die Nasionale Departement van Gesondheid en die Provinsiale Departement van Gesondheid (Wes-Kaap) word eerstens noukeurig ondersoek. Tweedens word die webwerwe van die Treatment Action Campaign (TAC) en Avert, NRO’s met spesiale belang in die voorkoming en behandeling van MIV/Vigs in suidelike Afrika, ondersoek. Die doel van hierdie navorsing is om oor aspekte van uitleg, die gebruik van multimodaliteit en die invoering van spesifieke temas en sake wat op die geselekteerde webwerwe beklemtoon word, na te dink. Die tesis se fokus in op die oordrag van inligting, veral deur die elektroniese media, deur multimodale elemente (taal, beelde, klank, kleur) en die uitleg van webwerwe te ondersoek, om sodoende verskillende moontlike interpretasies wat die bestemde gehoor aan die verskeie tekste mag heg, te identifiseer. Die analise van die webwerwe steun teoreties op die metafunksies wat deur Halliday (1985) ontwikkel is in sy grammatikale raamwerk, Systemic Functional Grammar. Dit verwys ook na ’n uitbreiding op Halliday se werk, wat deur Kress en Van Leeuwen (1996, 2005, 1998) en Kress (2003) ontwikkel is om multimodale diskoersanalise toe te laat wat aspekte van visuele ontwerp en plasing oorweeg. Hierdie benaderings fokus op teks, multimodale elemente, die plasing daarvan op ‘n bladsy en die koherensie tussen die ontwerp, uitleg en kommunikatiewe modusse. Dit kyk na hoe hierdie elemente saamwerk om ’n oortuigende en betekenisvolle boodskap uit te stuur. Hierdie tesis verwys ook na aspekte van Kritiese Diskoersanalise wat betrekking het op kwessies van taal en mag in internetgebaseerde kommunikasie. Dit kom voor asof die regeringswebwerwe ontwerp is met ’n gehoor in gedagte wat oor beleidskwessies ingelig moet word, terwyl die NRO-webwerwe ontwerp is met ’n meer weerlose gehoor in gedagte. Lg. gehoor word ingelig oor die siekte en behandelingsmoontlikhede eerder as beleid. Een soort web-kommunikasie sal waarskynlik dié mense wat juis regeringsondersteuning teen MIV/Vigs behoort te ontvang, vervreem. ’n Ander soort is meer daarop gerig om aktivisme teen die staat se vermeende traagheid te ondersteun. ’n Derde soort kommunikasie ondersteun verskeie liefdadigheidsorganisasies wat uitreik na gemeenskappe waar MIV-infeksiekoerse besonder hoog is. Die interpretasie van multimodale webwerwe vereis kennis van webwerf-ontwerp vir opvoedkundige doeleindes asook inligting oor die gebruik van die internet om voldoende inligting te bekom. Verder moet die bestemde gehoor se toegang tot elektroniese kommunikasie in ag geneem word, aangesien dít sal bepaal of die erns van die siekte en moontlike voorkoming of behandeling, goed weergegee word, veral aan dié wat s besonder blootgestel is en dus hoë risiko loop vir nuwe infeksie. Die tesis bevind dat elektroniese kommunikasie nie die eerste stap kan wees in die proses om inligting oor MIV/Vigs te sirkuleer nie. Nie-regerings- en regeringsorganisasies is steeds afhanklik van ander media as webwerwe, soos drukmedia, radio, televisie en veldtogte of gemeenskapsgebaseerde projekte, om met bepaalde gehore te kommunikeer. Elektroniese kommunikasie is kompleks omdat dit met verskeie modusse (visueel, verbaal, oudio) werk en tegniese sofistikasie van vervaardigers en ontvangers van tekste vereis. Teorieë van kommunikasie en diskoersanalise-metodologieë kan ons insig in hoe die internet daarin slaag (of nie) om belangrike gesondheidsorginligting te versprei. Om egter ’n betroubare begrip vir die werking van die internet as verspreider van MIV-inligting aan alle belange-groepe te verkry, moet kennis van ander areas van belangstelling in gesondheidsorg-kommunikasie, soos veeltaligheid, sosiologie, antropologie, gedragswetenskappe, kognitiewe psigologie of brein-navorsing, ook uiteindelik oorweeg word.

Mobile Delay Tolerant Networks (MDTNs) are wireless mobile networks in which a complete routing path between two nodes that wish to communicate cannot be guaranteed. A number of networking scenarios have been categorized as MDTNs, such as vehicular ad hoc networks, pocket switched networks, etc. The network asynchrony, coupled with the limited resources of mobile devices make message dissemination (also called routing) one of the fundamental challenges in MDTNs. In the literature, a large body of work has been done to deal with routing in MDTNs. However, most of the existing routing protocols are based on at least one of the following three assumptions: (1) all messages can be routed by relying on a single mobility property; (2) all messages can be routed using a single message allocation strategy; (3) users are willing to disclose their mobility information and relationships to others in order to improve the quality of the routing. We argue that the above three assumptions are not realistic because: (1) users can exhibit various social behaviors and consequently various mobility properties (e.g., they can have regular movements during week-days and exhibit non-predictable movements during week-ends); (2) some messages might need more or less copies to be delivered according to the localization of the source and the destination and to the urgency of the message; and (3) users mobility data can disclose sensitive information about the users. In this thesis, we relieve MDTN routing from the above three restrictive assumptions. Firstly, we propose an adaptive routing protocol for mobile delay tolerant networks. The proposed protocol can dynamically learn the social properties of nodes based on their mobility patterns, and exploit the most appropriate routing strategy each time an intermediate node is encountered. Simulations performed on real mobility traces show that our protocol achieves a better delivery ratio than existing state-of-the-art routing protocols that rely on a single mobility property. Secondly, we present a delay and cost balancing protocol for efficient routing in mobile delay tolerant networks. The presented protocol reasons on the remaining time-to-live of a message to dynamically allocate the minimum number of copies that are necessary to achieve a given delivery probability. Evaluation results show that the protocol can achieve a good balance between message delivery delay and delivery cost, compared with most of the existing routing protocols in the literature. Lastly, we propose an efficient privacy preserving prediction-based routing protocol for mobile delay tolerant networks. This protocol preserves the mobility patterns of a node from being disclosed by exploiting the mobility pattern of communities that node belongs to. Evaluation results demonstrate that this protocol can obtain comparable routing performance to prediction-based protocols while preserving the mobility pattern of nodes.

One of the fundamental challenges in building Peer-to-Peer (P2P) applications is to locate resources across a dynamic set of nodes without centralised servers. Structured overlay networks solve this challenge by proving a key-based routing (KBR) layer that maps keys to nodes. The performance of KBR is strongly influenced by the dynamic and unpredictable conditions of P2P environments. To cope with such conditions a node must maintain its routing state. Routing state maintenance directly influences both lookup latency and bandwidth consumption. The more vigorously that state information is disseminated between nodes, the greater the accuracy and completeness of the routing state and the lower the lookup latency, but the more bandwidth that is consumed. Existing structured P2P overlays provide a set of configuration parameters that can be used to tune the trade-off between lookup latency and bandwidth consumption. However, the scale and complexity of the configuration space makes the overlays difficult to optimise. Further, it is increasingly difficult to design adaptive overlays that can cope with the ever increasing complexity of P2P environments. This thesis is motivated by the vision that adaptive P2P systems of tomorrow, would not only optimise their own parameters, but also generate and adapt their own design. This thesis studies the effects of using an adaptive technique to automatically adapt state dissemination cost and lookup latency in structured overlays under churn. In contrast to previous adaptive approaches, this work investigates the algorithmic adaptation of the fundamental data dissemination protocol rather than tuning the parameter values of a protocol with fixed design. This work illustrates that such a technique can be used to design parameter-free structured overlays that outperform other structured overlays with fixed design such as Chord in terms of lookup latency, bandwidth consumption and lookup correctness. A large amount of experimentation was performed, more than the space allows to report. This thesis presents a set of key findings. The full set of experiments and data is available online at: http://trombone.cs.st-andrews.ac.uk/thesis/analysis.

As computers become pervasive and better connected, the popularity of peer-to-peer computing has grown immensely. The sharing of unused resources at peers is desirable and practically important because they can collectively comprise a powerful system. The potential benefit, however, can be undermined by uncooperative behavior of some peers because they are managed individually and hence may not follow the expected protocols. To build robust systems, we must incorporate proper trust and incentive mechanisms so that peers would rather cooperate. In this dissertation, we demonstrate that building robust peer-to-peer information dissemination systems is important and viable, using four concrete cases. First, we investigate the incentive mechanism of BitTorrent, an exchange-based file distribution protocol. Our framework based on iterated prisoner's dilemma provides an insight into users' tension between eagerness to download and unwillingness to upload. By using both analytical and experimental approaches, we show that the current incentive mechanism of BitTorrent is susceptible to free riding. We propose an improved mechanism that punishes free riders effectively. Second, we present a trust-aware overlay multicast system that performs well in the presence of uncooperative nodes, which may block, delay, fabricate, or forge the messages they forward. We develop (1) a set of protocols that detect uncooperative behavior, (2) a scheme of trust value assignment according to the behavior of nodes, and (3) an algorithm that adapts the multicast tree based on trust values, all of which allows the system to remain stable and responsive over time. Third, we propose an alternative news feed dissemination system, called FeedEx, in which feed subscribers mesh into a network and exchange news feeds with neighbors. The collaborative exchange in FeedEx, with the help of the incentive-compatible design using the pair-wise fairness principle, reduces the server load and hence increases the scalability. Fourth, we introduce a new concept of peer-to-peer computing, that is, continual service using ephemeral servers. To this end, we develop a system model for the concept and implement a discrete-time simulator to find the conditions and the system support for eliciting cooperation. All four cases are substantiated by experimental results.

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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Professor Faramarz Fekri; Committee Member: Professor Christopher Heil; Committee Member: Professor Ian F. Akyildiz; Committee Member: Professor James H. McClellan; Committee Member: Professor Steven W. McLaughlin. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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A System for Selective Dissemination of Information is a type of information system that aims to harness new intellectual products, from any source, for environments where the probability of interest is high. The inherent challenge is to establish a computational model that maps specific information needs, to a large audience, in a personalized way. Therefore, it is necessary to mediate informational structure of unit, so that includes a plurality of attributes to be considered by process of content selection. In recent publications, systems are proposed based on text markup data (meta-data models), so that treatment of manifest information between computing semi-structured data and inference mechanisms on meta-models. Such approaches only use the data structure associated with the profile of interest. To improve this characteristic, this paper proposes construction of a system for selective dissemination of information based on analysis of multiple discourses through automatic generation of conceptual graphs from texts, introduced in solution also unstructured data (text). The proposed model is motivated by Cross-Document Structure Theory, introduced in area of Natural Language Processing, focusing on automatic generation of summaries. The model aims to establish correlations between semantic of discourse, for example, if there are identical information, additional or contradictory between multiple texts. Thus, an aspects discussed in this dissertation is that these correlations can be used in process of content selection, which had already been shown in other related work. Additionally, the algorithm of the original model is revised in order to make it easy to apply
Um Sistema de Disseminação Seletiva da Informação é um tipo de Sistema de Informação que visa canalizar novas produções intelectuais, provenientes de quaisquer fontes, para ambientes onde a probabilidade de interesse seja alta. O desafio computacional inerente é estabelecer um modelo que mapeie as necessidades específicas de informação, para um grande público, de modo personalizado. Para tanto, é necessário mediar à estruturação da unidade informacional, de maneira que contemple a pluralidade de atributos a serem considerados pelo processo de seleção de conteúdo. Em recentes publicações acadêmicas, são propostos sistemas baseados em marcação de dados sobre textos (modelos de meta-dados), de forma que o tratamento da informação manifesta-se entre computação de dados semi-estruturados e mecanismos de inferência sobre meta-modelos. Tais abordagens utilizam-se apenas da associação da estrutura de dados com o perfil de interesse. Para aperfeiçoar tal característica, este trabalho propõe a construção de um sistema de disseminação seletiva da informação baseado em análise de múltiplos discursos por meio da geração automática de grafos conceituais a partir de textos, concernindo à solução também os dados não estruturados (textos). A proposta é motivada pelo modelo Cross-Document Structure Theory, recentemente difundido na área de Processamento de Língua Natural, voltado para geração automática de resumos. O modelo visa estabelecer correlações de natureza semântica entre discursos, por exemplo, se existem informações idênticas, adicionais ou contraditórias entre múltiplos textos. Desse modo, um dos aspectos discutidos nesta dissertação é que essas correlações podem ser usadas no processo de seleção de conteúdo, o que já fora evidenciado em outros trabalhos correlatos. Adicionalmente, o algoritmo do modelo original é revisado, a fim de torná-lo de fácil aplicabilidade

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O progresso de projetos anteriores salientou a necessidade de tratar o problema dos softwares para detecção, a partir de bases de dados de publicações científicas, de tendências emergentes de pesquisa e desenvolvimento. Evidenciou-se a carência de aplicações computacionais eficientes dedicadas a este propósito, que são artigos de grande utilidade para um melhor planejamento de programas de pesquisa e desenvolvimento em instituições. Foi realizada, então, uma revisão dos softwares atualmente disponíveis, para poder-se delinear claramente a oportunidade de desenvolver novas ferramentas. Como resultado, implementou-se um aplicativo chamado Citesnake, projetado especialmente para auxiliar a detecção e o estudo de tendências emergentes a partir da análise de redes de vários tipos, extraídas das bases de dados científicas. Através desta ferramenta computacional robusta e eficaz, foram conduzidas análises de frentes emergentes de pesquisa e desenvolvimento na área de Sistemas Geradores de Energia Nuclear de Geração IV, de forma que se pudesse evidenciar, dentre os tipos de reatores selecionados como os mais promissores pelo GIF - Generation IV International Forum, aqueles que mais se desenvolveram nos últimos dez anos e que se apresentam, atualmente, como os mais capazes de cumprir as promessas realizadas sobre os seus conceitos inovadores.
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP