Acting and Ontology in Molière
Though counts the of actors French and seventeenth acting, a consistent century has feature left a is number their theoretiof accounts of actors and acting, a consistent feature is their theoretical underdevelopment. This underdevelopment may seem perplexing since a signal achievement of so-called classical France was the invention of theory itself in a specifically modern sense. We meet the self-consciously professional discipline Rene Descartes brought to the scientific "search for truth," imposing order on the rational pursuit of knowledge through close logical analysis of the conditions of possibility of rational thought as such. We get the systematic lessons in statecraft laid down in Cardinal Richelieu's posthumous Testament politique ( Political Testament) (1688) or Gabriel Naude's Considerations politiques sur les Coups d'Etat ( Political Reflections on Coups d'Etat) (1639), reducing government to a rigorous science grounded in unblinking scrutiny of the material interests that drive political agents. Boileau's L'Art poetique (The Art of Poetry) (1674) presents a synoptic system of literary forms based on the principle of rational self-possession that, for all the aweinspiring sublimity of its most telling effects, enables poets to say just and only what they mean to say as a function of the critical "idea" that governs poetic utterance. And we have the equally critical goal Pierre Corneille sets himself in the three discourses on dramatic art framing his collected Theâtre of 1660, deriving practical rules from
The Public Mirror: Moliere and the Social Commerce of Depiction
Though much beloved and widely produced, Moliere's satirical comedies pose a problem for those reading or staging his works today: how can a genre associated with biting caricature and castigation deliver engaging theatre? Instead of simply dismissing social satire as a foundation for Moliere's theatre, Larry F. Norman takes seriously Moliere's claim that his satires are first and foremost effective theatre. Pairing close readings of Moliere's comedies with accounts of French social history and aesthetics, Norman shows how Moliere perceived satire as a "public mirror" provoking dynamic exchange and conflict with audience members obsessed with their own images. Drawing on these tensions, Moliere portrays characters satirizing one another on stage, with their reactions providing dramatic conflict and propelling comic dialogue. By laying bare his society's system of imagining itself, Moliere's satires both enthralled and enraged his original audience and provide us with a crucial key to the classical culture of representation.
Application of SVM on satellite images to detect hotspots in Jharia coal field region of India
The present paper deals with the application of Support Vector Machine (SVM) and image analysis techniques on NOAA/AVHRR satellite image to detect hotspots on the Jharia coal field region of India. One of the major advantages of using these satellite data is that the data are free with very good temporal resolution; while, one drawback is that these have low spatial resolution (i.e., approximately 1.1 km at nadir). Therefore, it is important to do research by applying some efficient optimization techniques along with the image analysis techniques to rectify these drawbacks and use satellite images for efficient hotspot detection and monitoring. For this purpose, SVM and multi-threshold techniques are explored for hotspot detection. The multi-threshold algorithm is developed to remove the cloud coverage from the land coverage. This algorithm also highlights the hotspots or fire spots in the suspected regions. SVM has the advantage over multi-thresholding technique that it can learn patterns from the examples and therefore is used to optimize the performance by removing the false points which are highlighted in the threshold technique. Both approaches can be used separately or in combination depending on the size of the image. The RBF (Radial Basis Function) kernel is used in training of three sets of inputs: brightness temperature of channel 3, Normalized Difference Vegetation Index (NDVI) and Global Environment Monitoring Index (GEMI), respectively. This makes a classified image in the output that highlights the hotspot and non-hotspot pixels. The performance of the SVM is also compared with the performance obtained from the neural networks and SVM appears to detect hotspots more accurately (greater than 91% classification accuracy) with lesser false alarm rate. The results obtained are found to be in good agreement with the ground based observations of the hotspots. This type of work will be quite helpful in the near future to develop a hotspots monitoring system using these operational satellites data.