Ética ambiental y turismo: relación responsable hombre-naturaleza

La ética tiene que ver con la acción humana, con lo que es justo y bueno, porque la humanidad tiene la responsabilidad y la libertad para hacer cambios en las comunidades y en su entorno. Una de estas acciones es el uso y el trato que se le da a la naturaleza, si bien ha sido discutible si ésta tiene o no derechos equiparables a los del hombre. La ética ambiental reconoce que los animales y plantas pueden ser sujetos morales que requieren consideración a sus derechos. Relacionamos la ética ambiental con el turismo, pues éste usa el entorno natural como marco para la realización de actividades recreacionales de las personas; no obstante se ha evidenciado que existen impactos negativos ocasionados por un inadecuado uso de los recursos naturales, por lo que el papel de la ética ambiental debe promover una relación más armónica entre el hombre y la naturaleza

Transfer learning or design a custom CNN for tactile object recognition

International Workshop on Robotac: New Progress in Tactile Perception and Learning in RoboticsNovel tactile sensors allow treating pressure lectures as standard images due to its highresolution. Therefore, computer vision algorithms such as Convolutional Neural Networks (CNNs) can be used to identify objects in contact. In this work, a high-resolution tactile sensor has been attached to a robotic end-effector to identify objects in contact. Moreover, two CNNs-based approaches have been tested in an experiment of classification of pressure images. These methods include a transfer learning approach using a pre-trained CNN on an RGB images dataset and a custom-made CNN trained from scratch with tactile information. A comparative study of performance between them has been carried out.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Spanish project DPI2015-65186-R, the European Commission under grant agreement BES-2016-078237, the educational project PIE-118 of the University of Malag

Kilo-instruction processors: overcoming the memory wall

Historically, advances in integrated circuit technology have driven improvements in processor microarchitecture and led to todays microprocessors with sophisticated pipelines operating at very high clock frequencies. However, performance improvements achievable by high-frequency microprocessors have become seriously limited by main-memory access latencies because main-memory speeds have improved at a much slower pace than microprocessor speeds. Its crucial to deal with this performance disparity, commonly known as the memory wall, to enable future high-frequency microprocessors to achieve their performance potential. To overcome the memory wall, we propose kilo-instruction processors-superscalar processors that can maintain a thousand or more simultaneous in-flight instructions. Doing so means designing key hardware structures so that the processor can satisfy the high resource requirements without significantly decreasing processor efficiency or increasing energy consumption.Peer ReviewedPostprint (published version

Grass-Legume Mixtures Under Grazing

Nine grass-legume mixtures were evaluated during their first year. A factorial experiment was carried out using a complete block design. Herbage on offer and residual herbage were estimated allowing calculation of net herbage production, herbage accumulation rate and grazing efficiency. The mixture of alfalfa (Medicago sativa L.) and orchard grass (Dactylis glomerata L.) with a net herbage production of 22 407 kg dry matter (DM) per ha outyielded white clover (Trifolium repens L.) mixtures. Substitution of alfalfa by white clover in the mixtures resulted in reduction of herbage accumulation rate by 19 kg DM ha-1 day-1 . Net herbage production of mixtures including orchard grass was 2800 kg DM higher than that of mixtures including perennial ryegrass (Lolium perenne L.). Net herbage production of mixtures including tall fescue (Festuca arundinacea Schreb) was similar to that of mixtures including orchard grass or perennial ryegrass