Feno de gramíneas: processo de produção passo a passo.

bitstream/item/52148/1/Midia-Feno-de-gramineas.pd

Sustentabilidade em ecossitemas de pastagem para a produçao de caprinos e ovinos.

bitstream/item/86467/1/Midia-Sustentabilidade-em-ecossitemas.pd

Aspectos biológicos de Brevipalpus obovatus Donnadieu (Acari: Tenuipalpidae) em maracujazeiro.

Considerando a ocorrência do ácaro Brevipalpus obovatus (Donnadieu, 1875) (Acari, Tenuipalpidae) em cultivos de maracujazeiro (Passiflora edulis Sims f. flavicarpa Deg. - Passifloraceae) no Estado da Bahia, a biologia dessa espécie foi estudada para avaliar o desenvolvimento e a reprodução em folhas de maracujá amarelo. O estudo foi conduzido em laboratório a 25 ± 1° C, 70 ± 10% de umidade relativa e 12 horas de fotofase. O período de ovo a adulto foi de 19,11 ± 0,16 dias, com sobrevivência de 86,11%. A longevidade média das fêmeas foi de 37,69 ± 3,06 dias e a oviposição média diária de 1,29 ± 0,05 ovos/fêmea. A razão intrínseca de aumento (rm) foi de 0,064, a razão finita de aumento (λ) de 1,066 fêmeas/fêmea/dia, a duração média de uma geração (T) de 38,94 dias e a taxa líquida de reprodução (Ro) de 12,13. Os resultados indicam que o maracujazeiro amarelo é um hospedeiro favorável ao desenvolvimento e reprodução de B. obovatus

Imperfect inspection of a system with unrevealed failure and an unrevealed defective state

This paper proposes a model of inspection of a protection system in which the inspection outcome provides imperfect information of the state of the system. The system itself is required to operate on demand typically in emergency situations. The purpose of inspection is to determine the functional state of the system and consequently whether the system requires replacement. The system state is modeled using the delay time concept in which the failed state is preceded by a defective state. Imperfect inspection is quantified by a set of probabilities that relate the system state to the outcome of the inspection. The paper studies the effect of these probabilities on the efficacy of inspection. The analysis indicates that preventive replacement mitigates low quality inspection and that inspection is cost-effective provided the imperfect-inspection probabilities are not too large. Some derivative policies in which replacement is “postponed” following a positive inspection are also studied. An isolation valve in a utility network motivates the modeling

Characterization of Vehicle Behavior with Information Theory

This work proposes the use of Information Theory for the characterization of vehicles behavior through their velocities. Three public data sets were used: i.Mobile Century data set collected on Highway I-880, near Union City, California; ii.Borl\"ange GPS data set collected in the Swedish city of Borl\"ange; and iii.Beijing taxicabs data set collected in Beijing, China, where each vehicle speed is stored as a time series. The Bandt-Pompe methodology combined with the Complexity-Entropy plane were used to identify different regimes and behaviors. The global velocity is compatible with a correlated noise with f^{-k} Power Spectrum with k >= 0. With this we identify traffic behaviors as, for instance, random velocities (k aprox. 0) when there is congestion, and more correlated velocities (k aprox. 3) in the presence of free traffic flow

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