Influence of Lorentz-violating terms on a two-level system

The influence of Lorentz- and CPT-violating terms of the extended Standard Model on a semi-classical two-level system is analyzed. It is shown that the Lorentz-violating background (when coupled with the fermion sector in a vector way) is able to induce modifications on the Rabi oscillation pattern, promoting sensitive modulations on the usual oscillations. As for the term involving the coefficient coupled in an axial vector way, it brings about oscillations both on energy states and on the spin states (implied by the background). It is also seen that such backgrounds are able to yield state oscillations even in the absence of the electromagnetic field. The foreseen effects are used to establish upper bounds on the Lorentz-violating coefficients.Comment: 13 pages, 6 figures, revtex style

Linear verrucous epidermal nevus with oral manifestations: report of two cases

Linear verrucous epidermal nevi (LVEN) are characterized by verrucous papules often coalescing into well-demarcated skin-colored or brown plaques following the lines of Blaschko. We present two new cases of LVEN with oral mucosa involvement and briefly discuss this very rare finding. In both cases, oral biopsies showed hyperkeratosis, acanthosis, and papillomatosis. Although several treatment modalities have been reported for the cutaneous lesions, there is no consensus for the management of oral lesions so far

A ineficácia na aplicabilidade da medida sócioeducativa de internação

A pesquisa tem por objetivo destacar quais são os principais fatores que fazem com que a medida sócioeducativa de internação não seja eficaz, fazendo assim com que não haja ressocialização e reeducação dos menores infratores, sendo esse o objetivo principal de tal medida. Demonstrados esses fatores, utiliza-se na pesquisa exemplos de sucesso em outros países onde existem a medida de internação similares ao que ocorre no Brasil, comprovando-se assim que existe a possibilidade de alcançar a eficácia na aplicação dessas medidas, bastando para tanto ajustes. Fora feita uma entrevista com funcionários da Unidade de Intenação do Plano Piloto para que assim fossem obtidos dados que comprovassem a ineficácia da medida sócioeducativa no Brasil, especificamente em Brasília e suas motivações. Com a entrevista foi possível ouvir de funcioários da área as possíveis soluções para que se alcançe o objetivo principal da pesquisa, que persiste na tentativa de buscar soluções para a eficácia na aplicação da medida sócioeducativa de internação. Por fim, foram propostas soluções que seriam o treinamento de funcionários dos estabelecimentos, melhoria nas estruturas dos estabelecimentos, criação de atividades que entretenham os internos, para que assim consigamos atinjir a eficácia na aplicabilidade da medida sócioeducativa de internação Brasil utilizando-se da atual legislação do Estatuto da Criança e do Adolescente

A Framework for negotiation of virtualized networks in the future Internet based on QoS classes

Orientador: Edmundo Roberto Mauro MadeiraDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Ao longo dos anos a Internet vem se tornando o principal meio de comunicação, onde muitas empresas e organizações a usam como base para os seus serviços, sendo que na maioria dos casos, estas empresas têm vários provedores de Internet (Modelo Multi- Provedor). Entretanto, a Internet atual não provê garantias de Qualidade de Serviço (Quality of Service - QoS). Para contornar esse problema, as empresas realizam um Acordo de Nível de Serviços (Service Level Agreement - SLA). Dentro desse contexto, esta dissertação de mestrado tem por objetivo desenvolver uma arquitetura para negociação de redes virtualizadas na Internet do Futuro utilizando técnicas de classificação de tráfegos para decidir, a partir dos dados coletados e das políticas de SLA, por qual ISP (Internet Service Provider) enviar os dados de acordo com a classe que os dados se enquadram. Espera-se assim atender aos requisitos de QoS de cada classe de tráfego, e diminuir os custos da empresa. Para realizar a validação da arquitetura proposta, foram efetuados experimentos baseados no protocolo OpenFlow e no emulador Mininet. Os resultados mostraram a eficiência do modelo desenvolvido, bem como a capacidade do mesmo de cumprir os objetivos definidosAbstract: Over the years the Internet has become the primary means of communication, where many companies and organizations use it as basis for their services, and in most cases, these companies have multiple Internet service providers (Multi-Provider Model). However, the current Internet does not guarantee Quality of Service (QoS), to circumvent this problem; the companies apply a Service Level Agreements (SLA). Within this context, this dissertation aims to develop architecture for traffic engineering based on traffic classification to decide, from the data collected and SLA policies, for which ISPs to send the data, according to the data class. It is expected to ensure QoS requirements of each traffic class, and reduce the costs of the company. To validate the proposed framework, experiments based on the OpenFlow protocol and on the Mininet emulator were performed. The results showed the efficiency of the framework, as well as its capacity to fulfill the desired requirementsMestradoCiência da ComputaçãoMestre em Ciência da Computaçã

Features-Aware DDoS Detection in Heterogeneous Smart Environments based on Fog and Cloud Computing

Nowadays, urban environments are deploying smart environments (SEs) to evolve infrastructures, resources, and services. SEs are composed of a huge amount of heterogeneous devices, i.e., the SEs have both personal devices (smartphones, notebooks, tablets, etc) and Internet of Things (IoT) devices (sensors, actuators, and others). One of the existing problems of the SEs is the detection of Distributed Denial of Service (DDoS) attacks, due to the vulnerabilities of IoT devices. In this way, it is necessary to deploy solutions that can detect DDoS in SEs, dealing with issues like scalability, adaptability, and heterogeneity (distinct protocols, hardware capacity, and running applications). Within this context, this article presents an Intelligent System for DDoS detection in SEs, applying Machine Learning (ML), Fog, and Cloud computing approaches. Additionally, the article presents a study about the most important traffic features for detecting DDoS in SEs, as well as a traffic segmentation approach to improve the accuracy of the system. The experiments performed, using real network traffic, suggest that the proposed system reaches 99% of accuracy, while reduces the volume of data exchanged and the detection time

Port capacity expansion under real options approach: a case study in Brazil

Investments in port container terminals are sensitive to uncertainties. Public investments in infrastructure have been significantly reduced in the last decade in developing countries. The Brazilian government infrastructure investment was only 1.85 % of GDP in 2019, representing the lowest level in the last fifty years. Nonetheless, the regulatory framework of the port sector in Brazil has undergone significant changes over time, increasing the number of private port container terminal leases. The expansion capacity of the private port facilities is strongly linked to the demand uncertainty, which impacts the financial return to the long run. In this scenario, the uncertainty of global cargo transportation can discourage infrastructure investments in this class of project in Brazil. To overcome these issues, the financial modelling applying real options approach is better suited than the traditional valuation methods based on Discounted Cash Flow (DCF) analysis. The present study aims to value flexibilities of anticipating, or postponing, or interrupting investments of an existing operational port terminal in Brazil with expansion capacity under the demand uncertainty. The financial decision to invest in a port expansion is modeled by an American option. The results demonstrate that the investor adds significant value to the project by having the possibility to postpone investments. The proposed model presents the contribution of optimizing the decision of sequential expansions of capacity in port terminals, at any time and according to scenarios' revelation. In addition, the model allows the government authorities to review lease contracts, considering the relevance of timing to invest in project expansion decisions. The proposed model can also be extended to other infrastructure projects in emerging economies

Natural durability of five tropical wood species in field decay tests

Measuring the natural resistance of wood is fundamental for proper use. The natural durability of five tropical wood species was investigated by field decay testing during exposure for 360 days. Wood logs (length of 0,5 m; diameter of 8 cm - 12 cm) were used in this study. The mass loss and decay index were calculated and visual analysis during the exposure time was performed for all samples. The samples presented evidence of two different groups concerning natural durability. The species in the first group (Mimosa caesalpiniifolia, Mimosa ophthalmocentra, and Mimosa tenuiflora) showed the highest resistance to biodeterioration, better or similar performance compared to treated eucalyptus wood (as control). The other group (Aspidosperma pyrifolium and Cordia oncocalyx) had lower natural resistance in outdoor service, being more susceptible to decay. In general, the wood of the first group is indicated for outdoor uses that require medium or prolonged exposure, such as timber stakes and fence posts

Different limestone particle sizes for soil acidity correction, Ca and Mg supply and corn yield

The aim of this study was to evaluate the soil acidity correction and the grain yield responses for the lime application in different granulometric particles. The limestone particle sizes incorporated into the distroferric red Oxisol were: 0.20 mm to 0.30 mm; 0.30 mm to 0.56 mm; 0.56 mm to 0.82 mm and 0.82 mm to 2.00 mm, at doses of 1.3 t ha-1; 2.6 t ha-1; 3.9 t ha-1 and 6.6 t ha-1 respectively, and a control respectively, and a control (no lime incorporation in the soil). The soil chemical characteristics pH, H+Al3+, Al3+, Ca2+ e Mg2+ were evaluated at 6 months and 18 months after the lime application. The corn yields were evaluated during the 2008/2009 and 2009/2010 crop years. Higher limestone contents and lower particle size resulted in the same effect on soil acidity correction, reducing Al3+ and increasing Ca2+ and Mg2+ in the soil when the 0.30 mm limestone was incorporated, with residual effect at 18 months. Highest corn yield was obtained when the 0.82 mm to 2.00 mm particle size was incorporated in the first crop year, when compared to the lowest limestone particle size used.The aim of this study was to evaluate the soil acidity correction and the grain yield responses for the lime application in different granulometric particles. The limestone particle sizes incorporated into the distroferric red Oxisol were: 0.20 mm to 0.30 mm; 0.30 mm to 0.56 mm; 0.56 mm to 0.82 mm and 0.82 mm to 2.00 mm, at doses of 1.3 t ha-1; 2.6 t ha-1; 3.9 t ha-1 and 6.6 t ha-1 respectively, and a control respectively, and a control (no lime incorporation in the soil). The soil chemical characteristics pH, H+Al3+, Al3+, Ca2+ e Mg2+ were evaluated at 6 months and 18 months after the lime application. The corn yields were evaluated during the 2008/2009 and 2009/2010 crop years. Higher limestone contents and lower particle size resulted in the same effect on soil acidity correction, reducing Al3+ and increasing Ca2+ and Mg2+ in the soil when the 0.30 mm limestone was incorporated, with residual effect at 18 months. Highest corn yield was obtained when the 0.82 mm to 2.00 mm particle size was incorporated in the first crop year, when compared to the lowest limestone particle size used

DIMI: Detecção Inteligente de Botnets Mirai em Redes IoT

The emerging usage of Internet of Things (IoT) paradigm brings,together with new services, new threats to Information Security.Among these threats, we have the Mirai Botnet that performed severalDistributed Denial of Service (DDoS) cyberattacks, exploringthe vulnerabilites of IoT devices. Within this context, this paperpresents a mechanism for detecting Mirai botnet attacks on IoTnetworks using ML techniques and comparing different approaches.The mechanism was evaluated using a set of traffic data from realIoT devices, achieving results with 99 % precision in detecting MiraiBotnet attacks