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Novel roughness-controlled mannitol/LB Agar microcarriers with nanorod-covered surface were synthesized by polymorphic transformation and self-assembly method using hexane as the polymorphic transformation reagent and spray-dried mannitol/LB Agar microparticles as the starting material. With the size and amount of nanorods increasing, the surface roughness of the microparticles increase. An increase...
Adaptation of LTE femtocell transmission power levels in a distributed architecture to meet performance requirements is crucial for successful femtocell network deployment. System stability, scalability, robustness, and controllability must be addressed before large scale deployment. This paper proposes and analyzes a new method for dynamically adjusting LTE femtocell power levels to mitigate interference...
Analyzing and managing large amounts of unstructured information is a high priority task for many companies. For implementing content management solutions, companies need a comprehensive view of their unstructured data. In order to provide a new level of intelligence and control over data resident within the enterprise, one needs to build a chain of tools and automated processes that enable the evaluation,...
The benefits of Global Positioning System (GPS) are recognized in numerous military as well as civilian applications. In many situations, however, GPS signals are simply not available or, at best, intermittently observable. This paper describes a novel location tracking system, called self-correcting adaptive tracking system (SATS), which focuses on solving group location problem when GPS is not available...
Cognitive Adaptive Radio Teams (CART) is a new platform developed by our group in support of collaborative data collection and dissemination in a radio- challenged setting. The target scenario is characterized by a harsh ad-hoc radio environment with many-to-many multicast applications. In this paper we proposed a special data structure called demand-driven prioritized data structure (DDPDS) that...
Ongoing efforts at adaptive statistical language modeling are described. To extract information from the document history, trigger pairs are used as the basic information-bearing elements. To combine statistical evidence from multiple triggers, the principle of maximum entropy (ME) is used. To combine the trigger-based model with the static model, the latter is absorbed into the ME formalism. Given...
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