An investigation of social dynamics in Cape buffalo and implications for disease transmission at wildlife/domestic interfaces in the Great Limpopo Transfrontier Conservation Area

In this work experimental analysis was carried out between incidence angle an Kerr signal intensity, that influences in the hystereteresis shape behavior, which establishes a direct relationship between both for longitudinal configuration on the Kerr Magnetometer. The results show a better behavior of the curve for the defined range from 10° to 60° of incident angle.En este trabajo se realiza un análisis experimental de la relación entre el ángulo de incidencia y la intensidad de la señal Kerr, que influye en la forma del ciclo de histéresis, planteándose una relación directa entre ambos para la configuración longitudinal en el magnetómetro Kerr. Los resultados obtenidos evidencian un mejor comportamiento de dicha curva para el rango comprendido entre 10° y 60 ° del ángulo de incidencia

Memory pattern identification for feedback tracking control in human-machine systems

Objective: The aim of this paper was to identify the characteristics of memory patterns with respect to a visual input, perceived by the human operator during a manual control task, which consisted in following a moving target on a display with a cursor.Background: Manual control tasks involve nondeclarative memory. The memory encodings of different motor skills have been referred to as procedural memories. The procedural memories have a pattern, which this paper sought to identify for the particular case of a onedimensional tracking task. Specifically, data recorded from human subjects controlling dynamical systems with different fractional order were investigated.Method: A Finite Impulse Response (FIR) controller was fitted to the data, and pattern analysis was performed to the fitted parameters. Then, the FIR model was further reduced to a lower order controller; from the simplified model, the stability analysis of the human-machine system in closedloop was conducted.Results: It is shown that the FIR model can be employed to identify and represent patterns in human procedural memories during manual control tasks. The obtained procedural memory pattern presents a time scale of about 650 ms before decay. Furthermore, the fitted controller is stable for systems with fractional order less or equal to 1.Conclusion: For systems of different fractional order, the proposed control scheme – based on a FIR model – can effectively characterize the linear properties of manual control in humans.Application: This research supports a biofidelic approach to human manual control modeling over feedback visual perceptions. Relevant applications of this research are: the development of shared-control systems, where a virtual human model assists the human during a control task, and human operator state monitoring.</div