3 resultados para binary to multi-class classifiers
em CUNY Academic Works
Resumo:
TOC: Life at LaGuardia…3/ LaGuardia At Work…11/College-Wide Activities…20/Mayor LaGuardia…26/Martin Luther King…28/Statue of Liberty…30/Activities and Trips…33/Recreation…52/Student Government and Clubs…56/Faculty and Staff…64/Letters to Graduates…83/Class ’85…87/Class ’86…115/Dedication to the Challenger…156/Boosters and Ads…158 Yearbook Committee: Project Director, VINCENT BANREY; Asst. Project Director, CATHY WHAN; Editor-in-Chief, MARGARET NEISS; Layout Editor, HORACIO OWENS; Asst. Layout Editor, MARICRUZ SAUNDERS; Copy Editor/Captain Editor, UMOJA KWANGUVU; Typesetter, EDWARD HOLLINS; Cover Artist, DAVID VAZQUEZ; End Sheets Photo, YOUNG BAEK CHOI; Finance Manager, GEORGE BERMUDEZ; Photographers: HORACIO OWENS, MARINA DIAZ, MARGARET NEISS, LORI GEORGE, RANDY FADER SMITH, UMOJA KWANGUVU, JUAN SEGARRA, PETER ABBATE, CLASSIC STUDIO; Production Staff: HORACIO OWENS, MARGARET NEISS, MARINA DIAZ, UMOJA KWANGUVU, MARICRUZ SAUNDERS, IRENE LEBRON, ARLENE BANREY, QUAALAN SAMUELS, MAYRA ALDONADO, CATHY WHAN, RAVI RAMDASS, GEORGE BERMUDEZ, BLANCA ARBITO, EDWARD HOLLINS, BRIDGET DAVIS; Feature Writers: YVONNE CANNON AND HARRIET ASCHOFF ("LaGuardia at Work"); GEORGE BERMUDEZ ("Mayor LaGuardia, A Civil Rights Political Leader"); SCOTT ENGEL ("Statue Of Liberty"); JEFFREY DAVIS ("Tribute to Ron Miller"); MARICRUZ SAUNDERS ("Challengers"); CASSANDRA WILLIAMS ("King: The Vision and the Fulfillment").
Resumo:
When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.
Resumo:
This talk will describe a study designed to assess if clicker technology during a lesson can improve learning relative to traditional lecture alone. A control group was exposed to the stages of prenatal development via traditional lecture, and an experimental group was exposed to the material via an exercise that used clickers. A pretest showed no difference before the intervention. A posttest showed that the clicker group had significant gains indicating clickers may facilitate learning of science-based material.