4 resultados para Solving Problems for Evidence
em Universidad de Alicante
Resumo:
El objetivo de este trabajo es caracterizar la flexibilidad, entendida como habilidad para modificar la estrategia de resolución de un problema cuando se modifica la demanda de la tarea, de estudiantes de educación secundaria (12-16 años) en problemas de reconocimiento de patrones con varios apartados. Se utiliza una metodología de tipo cualitativo analizando las respuestas de los estudiantes en base a dos criterios: corrección de las respuestas y estrategias de resolución, y agrupando las que presentan características semejantes. Los resultados indican tres perfiles de estudiantes en relación a la flexibilidad en el uso de estrategias y el éxito alcanzado. El primero agrupa a los estudiantes que usan sólo la estrategia recursiva; la mayor parte de ellos se bloquea al aumentar la demanda cognitiva de la tarea; predominan los estudiantes de 12-13 años. El segundo perfil corresponde a los que cambian de una estrategia recursiva a una aproximación proporcional dando un resultado incorrecto; es más frecuente en los estudiantes de 13-14 años. Finalmente, el tercer perfil agrupa a los estudiantes que al aumentar la demanda cognitiva de la tarea cambian con éxito de una estrategia recursiva a una funcional; su frecuencia aumenta con la edad. Se concluye que la flexibilidad necesaria para identificar patrones cuando se incrementa la demanda de la tarea está relacionada con los conocimientos de los estudiantes y con el control y la regulación del proceso de resolución. Por otra parte, los estudiantes más jóvenes manifestaron menor grado de flexibilidad que los más mayores.
Resumo:
Sensing techniques are important for solving problems of uncertainty inherent to intelligent grasping tasks. The main goal here is to present a visual sensing system based on range imaging technology for robot manipulation of non-rigid objects. Our proposal provides a suitable visual perception system of complex grasping tasks to support a robot controller when other sensor systems, such as tactile and force, are not able to obtain useful data relevant to the grasping manipulation task. In particular, a new visual approach based on RGBD data was implemented to help a robot controller carry out intelligent manipulation tasks with flexible objects. The proposed method supervises the interaction between the grasped object and the robot hand in order to avoid poor contact between the fingertips and an object when there is neither force nor pressure data. This new approach is also used to measure changes to the shape of an object’s surfaces and so allows us to find deformations caused by inappropriate pressure being applied by the hand’s fingers. Test was carried out for grasping tasks involving several flexible household objects with a multi-fingered robot hand working in real time. Our approach generates pulses from the deformation detection method and sends an event message to the robot controller when surface deformation is detected. In comparison with other methods, the obtained results reveal that our visual pipeline does not use deformations models of objects and materials, as well as the approach works well both planar and 3D household objects in real time. In addition, our method does not depend on the pose of the robot hand because the location of the reference system is computed from a recognition process of a pattern located place at the robot forearm. The presented experiments demonstrate that the proposed method accomplishes a good monitoring of grasping task with several objects and different grasping configurations in indoor environments.
Resumo:
We present an extension of the logic outer-approximation algorithm for dealing with disjunctive discrete-continuous optimal control problems whose dynamic behavior is modeled in terms of differential-algebraic equations. Although the proposed algorithm can be applied to a wide variety of discrete-continuous optimal control problems, we are mainly interested in problems where disjunctions are also present. Disjunctions are included to take into account only certain parts of the underlying model which become relevant under some processing conditions. By doing so the numerical robustness of the optimization algorithm improves since those parts of the model that are not active are discarded leading to a reduced size problem and avoiding potential model singularities. We test the proposed algorithm using three examples of different complex dynamic behavior. In all the case studies the number of iterations and the computational effort required to obtain the optimal solutions is modest and the solutions are relatively easy to find.
Resumo:
Background: in both Spain and Italy the number of immigrants has strongly increased in the last 20 years, currently representing more than the 10% of workforce in each country. The segregation of immigrants into unskilled or risky jobs brings negative consequences for their health. The objective of this study is to compare prevalence of work-related health problems between immigrants and native workers in Italy and Spain. Methods: data come from the Italian Labour Force Survey (n=65 779) and Spanish Working Conditions Survey (n=11 019), both conducted in 2007. We analyzed merged datasets to evaluate whether interviewees, both natives and migrants, judge their health being affected by their work conditions and, if so, which specific diseases. For migrants, we considered those coming from countries with a value of the Human Development Index lower than 0.85. Logistic regression models were used, including gender, age, and education as adjusting factors. Results: migrants reported skin diseases (Mantel-Haenszel pooled OR=1.49; 95%CI: 0.59-3.74) and musculoskeletal problems among those employed in agricultural sector (Mantel-Haenszel pooled OR=1.16; 95%CI: 0.69-1.96) more frequently than natives; country-specific analysis showed higher risks of musculoskeletal problems among migrants compared to the non-migrant population in Italy (OR=1.17; 95% CI: 0.48-1.59) and of respiratory problems in Spain (OR=2.02; 95%CI: 1.02-4.0). In both countries the risk of psychological stress was predominant among national workers. Conclusions: this collaborative study allows to strength the evidence concerning the health of migrant workers in Southern European countries.