7 resultados para Olympic Games

em Digital Commons at Florida International University


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Brazilians greeted the long-awaited decision of making Rio de Janeiro the host of the 2016 Olympic Games with tremendous exhilaration. Although Rio’s fantastic natural beauty certainly added to its attraction in hosting the games, its alarming rates of urban crime and violence largely associated with drug trafficking immediately triggered worldwide criticism, and put at issue its ability to guarantee the security for the games. Brazilians have been vying for a position as an emerging global economy and understand the importance of the Games for international prestige. This makes the stakes very high when hosting the Olympic Games in the wake of the 2014 Soccer World Cup, which will also be held in Brazil. This paper explores these criticisms and assesses Rio’s ability to prepare for this important event. The paper further explores the consensus that Brazilians will be more equipped to address actions taken by organized crime capable of affecting the Olympic Games than to face a terrorist attack. Brazil – and Rio – does not figure in the “terrorism map” as a region particularly linked to terrorism. Aside from uncorroborated suspicions of activities by terrorist organizations on the Tri-Border region (Argentina, Brazil, and Paraguay), Brazil does not elicit many concerns regarding terrorism.1 Yet, there is no way to guarantee that terrorist organizations will not try to make use of the 2016 Rio Olympic Games to advance their agenda. This being in mind, Rio and Brazil in general face a long road ahead to prepare, prevent, protect and respond to a possible terrorist attack during the 2016 Olympics. It is clear that prevention and preparation towards potential threats to the Games must necessarily include cooperation and exchange of best practices with other countries. 1 U.S. Department of State has confirmed that this area may have been used to transport weapons and conduct financial affairs in the past. This type of activity has been made more difficult with the fortification of border controls in more recent times.

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In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

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Providing spectator food service for the Summer Olympic Games in Los Angeles was a massive and challenging undertaking. The author details the planning, recruitment, training, and sales considerations which the provider went through over a two-year period to be ready for the Games.

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In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

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Computer Game Playing has been an active area of research since Samuel’s first Checkers player (Samuel 1959). Recently interest beyond the classic games of Chess and Checkers has led to competitions such as the General Game Playing competition, in which players have no beforehand knowledge of the games they are to play, and the Computer Poker Competition which force players to reason about imperfect information under conditions of uncertainty. The purpose of this dissertation is to explore the area of General Game Playing both specifically and generally. On the specific side, we describe the design and implementation of our General Game Playing system OGRE. This system includes an innovative method for feature extraction that helped it to achieve second and fourth place in two international General Game Playing competitions. On the more general side, we also introduce the Regular Game Language, which goes beyond current works to provide support for both stochastic and imperfect information games as well as the more traditional games.

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This flyer promotes the event "The Dangerous Games of Fantasy, Lecture by Daína Chaviano", cosponsored by the FIU Modern Languages Department and the Cuban Research Institute.

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Computer Game Playing has been an active area of research since Samuel’s first Checkers player (Samuel 1959). Recently interest beyond the classic games of Chess and Checkers has led to competitions such as the General Game Playing competition, in which players have no beforehand knowledge of the games they are to play, and the Computer Poker Competition which force players to reason about imperfect information under conditions of uncertainty. The purpose of this dissertation is to explore the area of General Game Playing both specifically and generally. On the specific side, we describe the design and implementation of our General Game Playing system OGRE. This system includes an innovative method for feature extraction that helped it to achieve second and fourth place in two international General Game Playing competitions. On the more general side, we also introduce the Regular Game Language, which goes beyond current works to provide support for both stochastic and imperfect information games as well as the more traditional games.