Investigating the impact of combining handwritten signature and keyboard keystroke dynamics for gender prediction

© 2019 IEEE. The use of soft-biometric data as an auxiliary tool on user identification is already well known. Gender, handorientation and emotional state are some examples which can be called soft-biometrics. These soft-biometric data can be predicted directly from the biometric templates. It is very common to find researches using physiological modalities for soft-biometric prediction, but behavioural biometric is often not well explored for this context. Among the behavioural biometric modalities, keystroke dynamics and handwriting signature have been widely explored for user identification, including some soft-biometric predictions. However, in these modalities, the soft-biometric prediction is usually done in an individual way. In order to fill this space, this study aims to investigate whether the combination of those two biometric modalities can impact the performance of a soft-biometric data, gender prediction. The main aim is to assess the impact of combining data from two different biometric sources in gender prediction. Our findings indicated gains in terms of performance for gender prediction when combining these two biometric modalities, when compared to the individual ones

Decision support system for accessing costs and risks of connected and autonomous vehicles as mobility service in urban contexts

A predicted increase of connected autonomous vehicles (CAVs) in our roads paved the way for new opportunities and challenges towards the promotion of sustainable mobility. However, the impacts of CAVs on the road environment and its implications are widely dependent on technological choices and public policy [1,2]. Therefore, this research (PhD Workplan) intends to assess whether CAVs could be effective mobility solutions for improving social, economic and environmental efficiency [4]. This question will be addressed by developing a decision support tool driven by comprehensive data analysis and modelling processes. The outputs achieved will integrate a tool that will support transport system’s planning and the implementation of urban strategies to introduce CAVs [3,5]. Thus, the research’s main focus encompasses the development of a model-driven decision support system (DSS) that allows assessing the costs and risks of implementing CAVs in urban context [3,4]. Three specific research objectives are assumed: I) Predicting impacts of CAVs operation in urban contexts, by analyzing cost-efficiency, transportation demand and mobility patterns considering market penetration scenarios of CAVs in Portugal; II) Conceiving a hybrid transport planning tool to assess possible restrictions to CAVs on different types of links through field data testing and simulating scenarios using a microscopic traffic model. Data will support the development of a macroscopic model for a full network assessment performance; III) Developing a multidimensional decision tool directed to a wide range of stakeholders, both from public or private sectors, to compute the benefits, costs, constraints and risks of implementing CAVs on urban mobility systems. Preliminary results from different urban arterials indicate that CAVs can have negative or negligible impacts in some urban contexts. However, if the impact on the traffic flow’s energy performance is considered into the internal car following algorithm, global energy savings of up to 12% can be achieved.publishe

Alternativas tecnológicas para o controle de pragas do fruto da gravioleira.

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Estratégias para o controle de pragas do fruto da gravioleira.

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Levantamento e identificação das principais pragas do sapotizeiro.

Este trabalho objetiva preliminarmente, levantar, identificar e conhecer o grau de severidade de dano, bem como a epoca de ocorrencia das principais pragas e insetos beneficos associados ao sapotizeiro e, a partir dai, tracar estrategias ...bitstream/CNPAT-2010/5384/1/Pa-073.pd

Porque as algas e bactérias não são amplamente reconhecidas como seres fotossintetizantes?

Com a intenção de valorizar um conhecimento que nos permita olhar para o mundo de modo global para compreender a nossa realidade, destinamos para esse estudo indicar que as algas e bactérias não são valorizadas como organismos fotossintetizantes em alguns artigos acadêmicos. Uma das possibilidades para que esses seres não sejam contemplados, no ensino, é o fato de tentarmos fragmentar os conhecimentos tendo como finalidade simplificar a aprendizagem. Porém, isso acaba por acarretar a descontextualização e consequentemente a ausência de sentido

Pragas associadas à aceroleira.

A incidencia de algumas pragas de maior ou menor interesse economica tem sido observada com frequencia em areas irrigadas, destacando-se os pulgoes como a de maior severidade. Esss insetos atacam geralmente a extremidade tenra dos ramos, causando murchamento e morte, o que forca a emitir brotacoes laterais.bitstream/item/33820/1/Ct-038.pd

Ocorrência e grau de severidade de dano das principais pragas da aceroleira.

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Integrating environmental impacts in an intercity corridor level pricing scheme

A significant part of the transport sector externalities occurs in intercity corridors, which account for 65% of the total of the kilometers travelled in for example, Portugal (for 2017). A thorough analysis of intercity corridors characteristics has been receiving less attention compared to urban roads. The objective of this work is to propose a methodology to tackle intercity corridors issues with respect to environmental impacts. It will focus on suggesting smart and dynamic toll systems, integration of impacts in pricing schemes, and optimization of public transport fares, coupled with a scheme based on the “polluter pays” principle. This vision paper presents the main objectives and methodology of an ongoing research in which the final objective is to lead to a more efficient usage of the infrastructures. The optimization is mainly focused on an environmental perspective, which can be important for decision-makers to improve specific intercity corridor measures/policies.publishe

Exploring new ways to charge intercity mobility: impact on road traffic externalities

Around 70% of transport-related emissions in the EU (European Union) came from road transportation. A major contribution to the transport-related emission externalities comes from all the passenger car trips generated in intercity corridors. In Portugal, these trips represent 65% of the kilometers travelled and more than 55% of CO2 and NOx emissions. Portugal is the second worst country withing EU, only followed by Luxembourg, in terms of the relationship between external costs of transport and the country GDP (Gross Domestic Product)., the external costs of transport account for 7.2% of the country GDP. This work intends to assess how generalized GPS-based toll systems can reduce emissions compared with a flat-electronic collection system. The model for estimating network demand and traffic assignment is PTV VISUM. Emissions are estimated using a macroscopic methodology. The variables under study are the CO2 and NOx emissions, emissions-related external costs, total revenue, user costs. A trade-off will be performed to discuss the best strategy for different periods under study (peak and off-peak hours). Previous research efforts related to GPS-based toll collection systems do not refer to the environmental impacts of the application. These research gaps are addressed in this work by proposing a methodology focused on innovative road pricing emission-based tolls (e.g. GPS-based tolls) in intercity corridors. Simulation experiment results on a case study in Portugal comprising alternative routes of approximately 60km show that two different strategies are recommended for the peak and off-peak hours period. A GPS-based toll collection is only applicable on the Motorway for peak hours, and a GPS-based toll collection is applied in both road options off-peak hours. This strategy in a 24-hour span would allow a total decrease in emissions-related externalities (-1.4%) with only a small decrease of the total revenue without sacrificing the cost each user would pay to travel through this intercity corridor. Bearing in mind the residual emission reductions and the level on uncertainty associated with the model, these results are promising in that they suggest that it is plausible to implement a system that internalizes emission costs more directly as a function of demand, driving conditions and speed.publishe