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Transaction execution in mobile environments needs to be flexible, not only to support typical mobile computing characteristics, like movement, disconnections and limited resources, but also to support the variety of transactional properties that might be required by different applications. Existing models for mobile transaction management solve different aspects of transaction execution, but are not flexible enough to solve all required aspects. Instead of designing a new transaction model, we propose a middleware (MobileTSe) which utilize existing transaction models to handle various requirements for mobile transaction execution. This paper presents an approach for flexible transaction processing in mobile applications, and describes how MobileTSe makes transaction services with different properties available on mobile units. We suggest a solution with transaction service discovery and control using UPnP.

Transaction execution in mobile environments needs to be flexible, not only to support typical mobile computing characteristics, like movement, disconnections and limited resources, but also to support the variety of transactional properties that might be required by different applications. This paper presents an approach for flexible transaction processing in mobile applications, and describes an adaptive middleware for mobile transaction services (MobileTSe), that makes transaction services with different properties available on the mobile unit. We suggest a solution with transaction service discovery and control using UPnP.

This paper reports on advances in mathematical models of observer-ensemble performance in narrow-field- of-view visual search and target discrimination for ground vehicles in natural terrain. Three developments are presented. We show that the distribution of search time follows a log normal distribution. We show that search outcome is the result of a race between scene parsing and target detection. Scene parsing guides and focuses search, but also leads to quitting without detection. Quitting is not simply the consequence of having exhausted the supply of suspect locations. We present a refined target signature metric and computational method that emulates human perceptual organization of the target into component regions. This is significant not only because it improves the ease-of-use and reduces subjective user input, but also because it is potentially applicable to thermal images. The refined metric provides reasonably accurate prediction of probability of detection for cued detection and uncued search experiments., Presented at the Ground Target Modeling and Validation Conference (13th) held in Houghton, MI on 5-8 Aug 2002. Published in the Proceedings of the Ground Target Modeling and Validation Conference (13th), 247-256, 2002. This article is from ADA459530 Proceedings of the Ground Target Modeling and Validation Conference (13th) Held in Houghton, MI on 5-8 August 2002