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The 1999 international conference on Information Processing in Medical Imaging (IPMI ’99) was the sixteenth in the series of biennial meetings and followed the successful meeting in Poultney, Vermont, in 1997. This year, for the rst time, the conference was held in central Europe, in the historical Hungarian town of Visegr ad, one of the most beautiful spots not only on the Danube Bend but in all Hungary. The place has many historical connections, both national and international. The castle was once a royal palace of King Matthias. In the middle ages, the Hungarian, Czech, and Polish kings met here. Recently, after the summit meeting of reestablished democracies in the area, it became a symbol for the cooperation between central European countries as they approached the European Union. It was thus also symbolic to bring IPMI, in the year of the 30th anniversary of its foundation, to this place, and organize the meeting with the close cooperation of local and traditional western organizers. It also provided a good opportunity to summarize brie?y a history of IPMI for those who were new to the IPMI conference. This year we received 82 full paper submissions from all over the world. Of these, 24 were accepted as oral presentations. These were divided into 6 sessions. In spite of our e orts, it was found to be impossible to make these sessions fully balanced and homogeneous.
A modern treatment of both direct and inverse problems applicable to the remote sensing of earth from space or from the air. Starting from a physical description of the process, the authors develop innovative mathematical models, fundamental mathematics for the analysis of these models, and methods for obtaining computational solutions. They also include the results of recent research using this approach, such as invariant imbedding techniques, associative memory artificial neural networks, and the automatic evaluation of derivatives. With its coverage of uniform parallel illumination, internal sources, and incident spotlight beams, this book is indispensable for researchers working to reduce the atmospheric distortion of remotely sensed terrestrial images.
A supply chain is the process of all parties involved in fulfilling a customer request, while a value chain is a set of interrelated activities a company uses to create value and a competitive advantage. In Strategic Value Chain Management the authors bring together a variety of disciplines, showing how to move from traditional supply chain management to value chain management. Research from the (ISM) International School of Management, Germany, originating from a network of companies in a range of sectors, is integrated with case studies to demonstrate particular concepts. Strategic Value Chain Management brings together theory and practice and presents tangible ways of creating competitiveness in a changing world through the use of effective models and frameworks. Challenging the traditional Porters Five Forces Model, the authors introduce the important academic disciplines of cybernetics and systems sciences as essential drivers of strategy within the supply chain, supported by case studies illustrating their implementation.