O Sistema ALIS (Atmospheric Limb Imaging System), do Instituto Nacional de Pesquisas Espaciais (INPE) em São José dos Campos, a bordo do satélite EQUARS (Equatorial Atmosphere Research Satellite), tem como objetivo observar três fenômenos ópticos da atmosfera na direção horizontal (Limb) do satélite em órbita: a aeroluminescência, os relâmpagos e os sprites. Os sprites são fenômenos luminosos verticais que ocorrem na mesosfera e ionosfera inferior de coloração vermelho-alaranjada e o seu estudo é de grande importância devido à influência que exerce sobre o clima terrestre, juntamente com demais fenômenos. O objetivo deste projeto é a criação de um software capaz de identificar relâmpagos e sprites capturados por meio de um CCD e, através desta identificação, decidir quais imagens devem ser guardadas para posterior envio e quais devem ser descartadas. Estudos preliminares demonstram que por meio de técnicas de segmentação de imagem utilizando-se contorno ativo (que poderiam ser empregados em uma posterior análise de formas) e compactação por meio de wavelets é possível reconhecer, localizar e guardar aqueles fenômenos que forem de interesse. / THe Atmospheric Limb Imaging System (ALIS), from Brazilian National Institute for Space Research (INPE), embedded in the Equatorial Atmosphere Research Satellite (EQUARS) aims at searching for three optical phenomena along the Earth’s Limb: airglow, lightning and sprites. Sprites are vertical luminous phenomena that occur in the mesosphere and inferior ionosphere of red-orange coloration. The gathering of knowledge on sprites is of great importance do to their influence over the terrestrial climate, together with the other phenomena. The objective of this project is to create a software tool capable of identifying lightnings and sprites captured by a CCD camera. From this identification the tool can decide which images should be kept for subsequent upload and which should be discarded. Preliminary studies have demonstrated that through image segmentation techniques with active contour (that could be employed in a subsequent shape analysis process) and wavelet-based compression methods it is possible to recognize, locate and preserv those phenomena of interest.

O Sistema ALIS (Atmospheric Limb Imaging System), do Instituto Nacional de Pesquisas Espaciais (INPE) em São José dos Campos, a bordo do satélite EQUARS (Equatorial Atmosphere Research Satellite), tem como objetivo observar três fenômenos ópticos da atmosfera na direção horizontal (Limb) do satélite em órbita: a aeroluminescência, os relâmpagos e os sprites. Os sprites são fenômenos luminosos verticais que ocorrem na mesosfera e ionosfera inferior de coloração vermelho-alaranjada e o seu estudo é de grande importância devido à influência que exerce sobre o clima terrestre, juntamente com demais fenômenos. O objetivo deste projeto é a criação de um software capaz de identificar relâmpagos e sprites capturados por meio de um CCD e, através desta identificação, decidir quais imagens devem ser guardadas para posterior envio e quais devem ser descartadas. Estudos preliminares demonstram que por meio de técnicas de segmentação de imagem utilizando-se contorno ativo (que poderiam ser empregados em uma posterior análise de formas) e compactação por meio de wavelets é possível reconhecer, localizar e guardar aqueles fenômenos que forem de interesse. / THe Atmospheric Limb Imaging System (ALIS), from Brazilian National Institute for Space Research (INPE), embedded in the Equatorial Atmosphere Research Satellite (EQUARS) aims at searching for three optical phenomena along the Earth’s Limb: airglow, lightning and sprites. Sprites are vertical luminous phenomena that occur in the mesosphere and inferior ionosphere of red-orange coloration. The gathering of knowledge on sprites is of great importance do to their influence over the terrestrial climate, together with the other phenomena. The objective of this project is to create a software tool capable of identifying lightnings and sprites captured by a CCD camera. From this identification the tool can decide which images should be kept for subsequent upload and which should be discarded. Preliminary studies have demonstrated that through image segmentation techniques with active contour (that could be employed in a subsequent shape analysis process) and wavelet-based compression methods it is possible to recognize, locate and preserv those phenomena of interest.

Approved for public release; distribution is unlimited / Each inventory manager at the Aviation Supply Office Philadelphia, PA is presently required to manage approximately 700 line items. To allow the inventory manager a more efficient method of reviewing and using the data and reports from the Uniform Inventory Control Point (UICP) computer system, a distributed computer system is necessary. By downloading the the appropriate inventory data from UICP to a local computer system, a decision support system (DSS) can be be implemented using existing off the shelf hardware and software. The ability to replace the present copious paper reports with concise computerized information and import that data into electronic spreadsheets for further analysis can greatly improve the inventory manager's effectiveness. To this end, this thesis provides inventory managers at ASO with access to the following functions: Interactive access to the main UICP database. The ability to use UICP data with a decision support system. A user interface that is easy to understand and learn. A local data base which supports working group requirements. Basic office automation. This thesis will cover the selection of the hardware and software, data identification and management and DSS development. A prototype system called the IM Workstation was developed for this thesis and used to produce the thesis document. COBOL and ALIS ELF macro program listings are provided. / http://archive.org/details/inventorymanager00mare / Lieutenant, United States Navy