Browsing by Author Silva, Wellington Clay Porcino.
Showing results 1 to 6 of 6
Issue Date | Title | Resume | Author(s) |
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2015-01 | Análise espaço-temporal dos roubos de veículos ocorridos durante o ano de 2013 nas regiões das Áreas de Segurança Pública Integrada 4 e 6 no Rio de Janeiro | O presente trabalho procurará analisar as características espaciais e temporais dos roubos de veículos ocorridos nas regiões das áreas de segurança pública integradas (AISP) 4 (São Cristóvão e parte da Zona Portuária) e 6 (Região da Grande Tijuca) na cidade do Rio de Janeiro, de modo a determinar a frequência espacial e temporal de tais fatos, como forma de permitir aos gestores policiais um emprego mais eficiente de seus meios humanos e materiais. | Silva, Wellington Clay Porcino. |
2016-07 | Empregando o policiamento preditivo: construção de um modelo de risco do terreno para crimes contra o patrimônio dos Correios | O presente artigo tem como objetivo apresentar um caso de emprego da técnica de análise conhecida como Policiamento Preditivo, através da construção de um modelo de risco do terreno, cujo resultado é apresentado na forma de um mapa de risco, tendo como base os dados referentes aos crimes contra o patrimônio dos Correios no estado do Piauí no ano de 2013. | Silva, Wellington Clay Porcino. |
2015-07 | O Estabelecimento de Indicadores para a Polícia Judiciária | No presente artigo, buscar-se-á demonstrar o impacto dos novos conceitos gerenciais para a Administração Pública sobre a atividade de Polícia Judiciária, bem como, tendo por base os conceitos mencionados, apresentar sugestões de indicadores para o acompanhamento e avaliação dos resultados obtidos por tais órgãos de Segurança Pública. | Silva, Wellington Clay Porcino. |
2023-01 | Interview with Spencer Chainey: results of the Intelligence-Oriented Policing Project | Interview given by Professor Spencer Chainey,Professor of Security and Criminal Science at University College London, to Federal Police Chief Wellington Clay Porcino Silva, through the Teams platform, on September 16, 2022, detailing the relationship be-tween Prof. Doctor Spencer Chainey and the Revista Brasileira de Ciências Policiais, as well as the researcher's research and relationship with the Federal Police and the results of the Intelligence-Oriented Policing Project, carried out with support from the IADB and the Brazilian Federal Police. | Silva, Wellington Clay Porcino. |
2022-05 | Using a classification model to proper deploy police patrol to face bank robbery in northeast Brazil | This article proposes a new approach to help police officers fight bank robberies, espe-cially a violent type of crime named, in Brazil, “Novo Cangaço.” Bank robber y is a massive problem in small towns all over Brazil and, particularly, in the Northeast. In this context, police managers face a complex challenge in deploying their patrols to cover huge areas. To cope with this problem, we propose a new approach using classification algorithms that use the probability of a bank robber y event based on territorial characteristics to deploy more police officers efficiently. We will also analyze geographical features to understand our model, explaining how they impact bank robberies events, using feature importance functions. | Silva, Wellington Clay Porcino.; Macedo, José Antônio Fernandes de.; Queiroz Neto, José Florêncio de. |
2022-03 | Using intelligence led policing to fight bank robberies in Rio Grande do Norte, Brazil | Bank Robberies is one of the greatest challenges faced by police in Brazil, especially its most violent type, known as “Novo Cangaço”. This type of crime occurs when a gang of many criminals heavily armed attacks a small town, using violence and intimidation as weapons to assault all banks that there are in that town. This problem is even bigger in Northeast Region of Brazil. During this paper we are going to show how Intelligence Led Policing, one of the most modern police management techniques was employed by federal and state polices to reduce bank robberies in Rio Grande do Norte, one of the states located in Northeast Region in Brazil. We are also going to present how we could use a Machine Learning technique to help police decisions makers to select the best op-tions to maximize impact. | Silva, Wellington Clay Porcino. |