Presentation by Charles Powell, director of the Elcano Royal Institute at the Seminar 'The European Union: What Kind of Global Actor? held from 25 to 26 February 2013 in Madrid (Spain) and organised by the institute. / Presentación de Charles Powell, director del Real Instituto Elcano, en el Seminario "The European Union: What Kind of Global Actor?", organizado por el instituto del 25 al 26 de Febrero de 2013 en Madrid (España).
Moseda Technologies Company Presentation, November 2015GeoInvesting LLC
Moseda Technologies Inc. primarily engages in the development and operation of mobile device management software systems that allow the management to tracking of assets using mobile devices. It develops SmartCare, a mobile health solution for accessing, tracking, and managing patient health records securely from the Web, smartphone, or tablet; for automatic vital tracking; and for healthcare providers to manage staff and tasks. The company also provides SmartCare@Home, a telemedicine solution that utilizes the mobile, wearables, and SaaS technology to allow for remote patient monitoring. In addition, it offers SmartFleet, a fleet and asset tracking software for businesses that operate mobile and vehicle fleets. The company is headquartered in Vancouver, Canada.
Presentation by Charles Powell, director of the Elcano Royal Institute at the Seminar 'The European Union: What Kind of Global Actor? held from 25 to 26 February 2013 in Madrid (Spain) and organised by the institute. / Presentación de Charles Powell, director del Real Instituto Elcano, en el Seminario "The European Union: What Kind of Global Actor?", organizado por el instituto del 25 al 26 de Febrero de 2013 en Madrid (España).
Moseda Technologies Company Presentation, November 2015GeoInvesting LLC
Moseda Technologies Inc. primarily engages in the development and operation of mobile device management software systems that allow the management to tracking of assets using mobile devices. It develops SmartCare, a mobile health solution for accessing, tracking, and managing patient health records securely from the Web, smartphone, or tablet; for automatic vital tracking; and for healthcare providers to manage staff and tasks. The company also provides SmartCare@Home, a telemedicine solution that utilizes the mobile, wearables, and SaaS technology to allow for remote patient monitoring. In addition, it offers SmartFleet, a fleet and asset tracking software for businesses that operate mobile and vehicle fleets. The company is headquartered in Vancouver, Canada.
Moseda Technologies Inc. primarily engages in the development and operation of mobile device management software systems that allow the management to tracking of assets using mobile devices. It develops SmartCare, a mobile health solution for accessing, tracking, and managing patient health records securely from the Web, smartphone, or tablet; for automatic vital tracking; and for healthcare providers to manage staff and tasks. The company also provides SmartCare@Home, a telemedicine solution that utilizes the mobile, wearables, and SaaS technology to allow for remote patient monitoring. In addition, it offers SmartFleet, a fleet and asset tracking software for businesses that operate mobile and vehicle fleets. The company is headquartered in Vancouver, Canada.
Image Contrast Enhancement for Brightness Preservation Based on Dynamic Stret...CSCJournals
Histogram equalization is an efficient process often employed in consumer electronic systems for image contrast enhancement. In addition to an increase in contrast, it is also required to preserve the mean brightness of an image in order to convey the true scene information to the viewer. A conventional approach is to separate the image into sub-images and then process independently by histogram equalization towards a modified profile. However, due to the variations in image contents, the histogram separation threshold greatly influences the level of shift in mean brightness with respect to the uniform histogram in the equalization process. Therefore, the choice of a proper threshold, to separate the input image into sub-images, is very critical in order to preserve the mean brightness of the output image. In this research work, a dynamic range stretching approach is adopted to reduce the shift in output image mean brightness. Moreover, the computationally efficient golden section search algorithm is applied to obtain a proper separation into sub-images to preserve the mean brightness. Experiments were carried out on a large number of color images of natural scenes. Results, as compared to current available approaches, showed that the proposed method performed satisfactorily in terms of mean brightness preservation and enhancement in image contrast.