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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Modelo de estima??o de multid?es pra cen?rios de emerg?ncia

Testa, Estev?o Smania 15 March 2018 (has links)
Submitted by PPG Ci?ncia da Computa??o (ppgcc@pucrs.br) on 2018-09-13T13:02:14Z No. of bitstreams: 1 ESTEVAO SMANIA TESTA_DIS.pdf: 3237172 bytes, checksum: d5aadd66e71bcae6b9ef00c5c31e0e5a (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-09-14T19:04:09Z (GMT) No. of bitstreams: 1 ESTEVAO SMANIA TESTA_DIS.pdf: 3237172 bytes, checksum: d5aadd66e71bcae6b9ef00c5c31e0e5a (MD5) / Made available in DSpace on 2018-09-14T19:26:34Z (GMT). No. of bitstreams: 1 ESTEVAO SMANIA TESTA_DIS.pdf: 3237172 bytes, checksum: d5aadd66e71bcae6b9ef00c5c31e0e5a (MD5) Previous issue date: 2018-03-15 / Planos de evacua??o t?m sido historicamente usados como uma medida de seguran?a para a constru??o de edif?cios. Os simuladores existentes requerem ambientes 3D totalmente modelados e tempo suficiente para preparar e simular cen?rios. Uma vez que a quantidade de pessoas pode mudar ao longo do tempo, v?rias simula??es s?o frequentemente necess?rias para gerar um plano de evacua??o otimizado. Neste documento ? apresentado uma nova abordagem para estimar os dados resultantes de um dado cen?rio de evacua??o sem simula-lo de fato. Para tal o ambiente ? dividido o ambiente em salas modulares com configura??es diferentes, em um estilo divis?o e conquista. Em seguida, uma rede neural artificial ? treinada para estimar os dados desejados de uma sala sozinha. Ap?s coletar os dados estimados de cada sala, uma heur?stica capaz de agregar informa??es por sala ? desenvolvida para que o ambiente completo possa ser devidamente estimado. Esse m?todo apresenta erros dentro da margem de 30% quando comparado o tempo de evacua??o em um ambiente real e complexo. Al?m disso, n?o ? necess?rio modelar o ambiente 3D, aprender como configurar um simulador de multid?es e o tempo computacional para estimar ? instant?neo quando comparado ao melhor caso de um simulador de multid?es. / Evacuation plans have been historically used as a safety measure for the construction of buildings. The existing simulators require fully-modeled 3D environments and enough time to prepare and simulate scenarios. Since the amount of people in a given simulated scenario can change over time, several simulations are often required in order to generate an optimal evacuation plan. With that in mind, we present in this paper a novel approach to estimate the resulting data of a given evacuation scenario without actually simulating it. For such, we divide the environment into modular rooms with different configurations, in a divide-and-conquer fashion. Next, we train an artificial neural network to estimate all required data regarding the evacuation of a single room. After collecting the estimated data from each room, we developed a heuristic capable of aggregating per room information so the full environment can be properly evaluated. Our method presents errors within the 30% margin when compared to evacuation time in a real and complex environment. In addition, it is not necessary to model the 3D environment, learn how to use and configure a crowd simulator, and the computational time to estimate is instantaneous when compared to a best case real-time crowd simulator.
2

Multid?es conectadas: uma abordagem junguiana sobre eventos organizados pela internet / Crowds connected: A Jungian approach of events organized over the internet

MUCCIOLO, Daniel Costa Vianna 27 March 2015 (has links)
Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2017-04-19T20:27:51Z No. of bitstreams: 1 2015 - Daniel Costa Vianna Mucciolo.pdf: 1524669 bytes, checksum: eaaed0afe87a7d70c8a557be17b8a2df (MD5) / Made available in DSpace on 2017-04-19T20:27:51Z (GMT). No. of bitstreams: 1 2015 - Daniel Costa Vianna Mucciolo.pdf: 1524669 bytes, checksum: eaaed0afe87a7d70c8a557be17b8a2df (MD5) Previous issue date: 2015-03-27 / CAPES / This research uses symbolic interpretation through the theory and practice of Carl Gustav Jung?s analytical psychology to study the dynamics and function of agglomerations of people organized through the internet. When such events occur they alter the dynamics of public and private spaces of large cities. To understand this phenomenon, the works of authors who discuss crowds, urban public spaces and cyberculture has been reviewed. Both destructive and positive traits were found on the various studies of crowds. Studying public spaces is justified because they are the backdrops for events and influence the public life of its citizens. The association with cyberculture is also essential to understand these social events, it is the means by which new information and communication technologies become instruments in the organization of events, quickly reaching a large number of participants, thanks to the speed of propagation of the information. The events studied are flash mobs; Brazilian protests of June 2013; "rolezinhos (little strolls)", and "isoporzinhos (icebox parties)". To support the study, books, articles and reports on the subject are used. For Carl Gustav Jung, collectivity is endowed with a psyche that is governed by elements very similar to the structure of our individual psyche. Empathy with events, invitations to act symbolically and trigger emotions that are already part of our cultural subconscious, are reasons that mobilize participants to express their claims emotionally (individually and collectively), such as the protests of 2013, or to create more recreational dimensions, such as the case of flash mobs, an alternative to escape the routine of large cities. / A presente pesquisa realiza uma leitura simb?lica para estudar as din?micas de funcionamento das aglomera??es de pessoas organizadas pela internet, atrav?s do referencial te?rico e pr?tico da psicologia anal?tica de Carl Gustav Jung. Tais eventos quando ocorrem alteram a din?mica dos espa?os p?blicos e privados das grandes cidades. Para compreender esses fen?menos, realiza-se uma revis?o bibliogr?fica de autores que discorrem sobre o tema das multid?es de pessoas, nos espa?os p?blicos urbanos e na cibercultura. Sobre as aglomera??es de pessoas, encontramos correntes que enfatizam o aspecto destrutivo e, outras enfatizam, o lado positivo da colabora??o em massa. Estudar os espa?os p?blicos justifica-se por ser o cen?rio dos eventos e por ele influenciar na vida p?blica dos cidad?os. A aproxima??o com a cibercultura tamb?m ? fundamental para entender todos os acontecimentos sociais, visto que, ? atrav?s dela que as novas tecnologias da informa??o e da comunica??o se tornam instrumentos na organiza??o dos eventos; atingindo um grande n?mero de participantes: gra?as ? velocidade de propaga??o da informa??o nesse ve?culo. Os eventos estudados s?o os flash mobs; protestos brasileiros de junho de 2013; ?rolezinhos?, e ?isoporzinhos?. Para embasar o estudo, s?o utilizados livros, artigos e reportagens sobre o assunto. Para Carl Gustav Jung, a coletividade ? dotada de uma psique pr?pria que ? regida por elementos bem parecidos com a estrutura da psique individual. A empatia com os eventos, os convites para atuar como agente simb?lico e ativar emo??es que est?o na camada do inconsciente cultural, s?o raz?es para mobilizar os participantes a expressar emo??es (individuais e coletivas) de reinvindica??es, como nos protestos de 2013 ou viver uma dimens?o l?dica, no caso dos flash mobs para fugir da rotina das grandes cidades.
3

Giving emotional contagion ability to virtual agents in Crowds

Fortes Neto, Amyr Borges 09 March 2017 (has links)
Submitted by PPG Ci?ncia da Computa??o (ppgcc@pucrs.br) on 2017-11-13T21:43:46Z No. of bitstreams: 1 AMYR_BORGES_FORTES_NETO_TES.pdf: 2509779 bytes, checksum: 3513c7b9db941d3f24cfdc672eac46f9 (MD5) / Rejected by Caroline Xavier (caroline.xavier@pucrs.br), reason: Devolvido devido ? falta da folha de rosto (p?gina com as principais informa??es) no arquivo PDF, passando direto da capa para a ficha catalogr?fica. on 2017-11-21T12:48:40Z (GMT) / Submitted by PPG Ci?ncia da Computa??o (ppgcc@pucrs.br) on 2017-12-11T16:15:52Z No. of bitstreams: 1 AMYR_BORGES_FORTES_NETO_TES.pdf: 2507882 bytes, checksum: 0ef0935814ab8c8fd102985b55b443f6 (MD5) / Approved for entry into archive by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-12-18T13:19:03Z (GMT) No. of bitstreams: 1 AMYR_BORGES_FORTES_NETO_TES.pdf: 2507882 bytes, checksum: 0ef0935814ab8c8fd102985b55b443f6 (MD5) / Made available in DSpace on 2017-12-18T13:24:43Z (GMT). No. of bitstreams: 1 AMYR_BORGES_FORTES_NETO_TES.pdf: 2507882 bytes, checksum: 0ef0935814ab8c8fd102985b55b443f6 (MD5) Previous issue date: 2017-03-09 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / Modelos de simula??o de multid?es t?m tido um papel importante em ci?ncias da computa??o j? h? algumas d?cadas desde os trabalhos pioneiros. No in?cio, agentes simulados em multid?es comportavam-se todos da mesma maneira, e tal comportamento era controlado pelas mesmas regras em todos os agentes. Com o tempo, os modelos de simula??o evoluiram, e come?aram a agregar uma maior variedade de comportamentos nos agentes. Modelos de simula??o de multid?es que implementam diferentes comportamentos nos agentes s?o chamados modelos de Multid?es Heterog?neas, em oposi??o aos modelos de Multid?es Homog?neas precedentes. Modelos de simula??o de multid?es que buscam criar agentes com comportamentos humanos realistas exploram heterogeneidade nos comportamentos dos agentes, na tentativa de atingir tal realismo. Em geral, estudos em psicologia e comportamento humano s?o usados como conhecimento de base, e os comportamentos observados nestes estudos s?o simulados em agentes virtuais. Nesta dire??o, trabalhos recentes em simula??o de multid?es exploram caracter?sticas de personalidade e modelos de emo??es. No campo de emo??es em agentes virtuais, pesquisadores est?o tentando recriar fen?menos de cont?gio de emo??es em pequenos grupos de agentes, ou mesmo estudar o impacto de cont?gio de emo??o entre agentes virtuais e participantes humanos. Sob a cren?a de que cont?gio de emo??o em agentes virtuais possa levar a comportamentos mais realistas em multi?es, este trabalho foca em recriar modelos computacionais de cont?gio de emo??es destinados a pequenos grupos de agentes, adaptando estes modelos para um contexto de simula??o de multid?es. / Crowd simulation models have been playing an important role in computer sciences for a few decades now, since pioneer works. At the beginning, agents simulated on crowds behaved all the same way, such behaviour being controlled by the same set of rules. In time, simulation models evolved and began to incorporate greater variety of behaviours. Crowd simulation models that implement different agent behaviours are so-called Heterogeneous Crowd models, opposing to former Homogeneous Crowd models. Advances in crowd simulation models that attempt to make agents with more realistic human-like behaviours explore heterogeneity of agent behaviours in order to achieve overall simulation realism. In general, human behavioural and psychological studies are used as base of knowledge to simulate observed human behaviours within virtual agents. Toward this direction, later crowd simulation works explore personality traits and emotion models. Some other work in the field of emotional virtual agents, researchers are attempting to recreate emotion contagion phenomena in small groups of agents, and even studying emotion contagion impact between virtual agents and human participants. Under the belief that emotion contagion in virtual agents might lead to more realistic behaviours on crowds, this work is focused on recreating emotion contagion computational models designed for small groups of agents, and adapting it for crowd simulation context.
4

Simulating Behavior Diversity in BioCrowds

Knob, Paulo Ricardo 22 August 2018 (has links)
Submitted by PPG Ci?ncia da Computa??o (ppgcc@pucrs.br) on 2018-10-04T19:48:28Z No. of bitstreams: 1 Paulo_Ricardo_Knob_dis.pdf: 15412485 bytes, checksum: d5fc868fa02ec06b2e29e6848c4b37ae (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-10-08T14:18:54Z (GMT) No. of bitstreams: 1 Paulo_Ricardo_Knob_dis.pdf: 15412485 bytes, checksum: d5fc868fa02ec06b2e29e6848c4b37ae (MD5) / Made available in DSpace on 2018-10-08T14:37:58Z (GMT). No. of bitstreams: 1 Paulo_Ricardo_Knob_dis.pdf: 15412485 bytes, checksum: d5fc868fa02ec06b2e29e6848c4b37ae (MD5) Previous issue date: 2018-08-22 / A maioria das t?cnicas dispon?veis hoje em dia para simula??o de multid?es est? focada em uma situa??o espec?fica, por exemplo, evacua??o em eventos perigosos. Poucas t?cnicas consideram os aspectos culturais e de personalidade presentes em uma sociedade para determinar o comportamento dos agentes. Portanto, este trabalho tem como objetivo construir um framework capaz de lidar com diferentes teorias culturais e de personalidade como input, traduzindo-as em uma parametriza??o de grupo, que vai determinar o comportamento de grupos e multid?es em ambientes virtuais. Al?m disso, inclu?mos no BioCrowds uma resposta de conforto para os agentes, em termos de densidade e caracter?sticas t?rmicas do ambiente. Os resultados indicam que os mapeamentos culturais / psicol?gicos parecem promissores, uma vez que os agentes foram capazes de se comportar conforme o esperado. Al?m disso, os agentes foram capazes de reagir devido ao conforto t?rmico e de densidade, melhorando sua capacidade de reagir ?s mudan?as do ambiente. / Most of the techniques available nowadays for crowd simulation are focused on a specific situation, e.g. evacuation in hazardous events. Very few of them consider the cultural and personality aspects present in a society to determine the behavior of agents. Therefore, this work aims to build a framework able to deal with different cultural and personality theories as input, and translate them into a group parametrization, which is going to determine the behavior of groups and crowds in virtual environments. Also, we include in BioCrowds a comfort response for agents, in terms of density and thermal characteristics of the environment. Results indicate that the cultural/psychological mappings seem promising, since agents were able to perform as intended. Additionally, agents were able to react due to thermal and density comfort, improving their ability to react to environmental changes.

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