nowadays, technologies are providing the mobile terminals with much more powerful computational abilities. Such improvement made it possible to run many complex applications on mobile devices. However, many of these new applications are also resources demanding. Lacking sufficient resources would cause performance failures and impact negatively on the users’ quality of experience. In order to i...

Climate adaptation requires large capital investments that could be provided not only by traditional sources like governments and banks, but also by derivatives markets. Such markets would allow two parties with different tolerances and expectations about climate risks to transact for their mutual benefit and, in so doing, finance climate adaptation. Here we calculate the price of a derivative ...

Transformation Sharing Strategies for MLLR Speaker Adaptation Arindam Mandal Chair of the Supervisory Committee: Professor Mari Ostendorf Electrical Engineering Maximum Likelihood Linear Regression (MLLR) estimates linear transformations of automatic speech recognition (ASR) parameters and has achieved significant performance improvements in speaker-independent ASR systems by adapting to target...

The central problem of creating interactive drama is structuring a media experience for participants such that a good story is presented while enabling a high degree of meaningful interactivity. This paper presents a new approach to interactive drama, where pre-authored storylines are made interactive by adapting them at run-time by applying strategies that react to unexpected user behavior. Th...

Multi-processor System-on-Chips (MPSoCs) have become increasingly popular over the past decade. They permit balancing performance and flexibility, the latter being a key feature that makes possible reusing the same silicon across several product lines or even generations. This popularity makes highlight on new challenges to deal with the increasing complexity of such systems. Programmability is...

Designing and implementing embedded computing systems is more challenging than non-embedded systems because of the need to interact closely with a changeable physical universe that operates in real time, and because of the extra constraints imposed by the packaging and environmental concerns for many embedded systems. In addition, the challenges posed by distributed systems architectures and co...

This paper puts forward two useful methods for self-adaptation of the mutation distribution - the concepts of derandomization and cumulation. Principle shortcomings of the concept of mutative strategy parameter control and two levels of derandomization are reviewed. Basic demands on the self-adaptation of arbitrary (normal) mutation distributions are developed. Applying arbitrary, normal mutati...

Online auctions play an important role in today’s e-commerce for procuring goods. The proliferation of online auctions has caused the increasing need of monitoring and tracking multiple bids in multiple auctions. This paper investigates the application of self adaptive genetic algorithms on a flexible and configurable heuristic decision making framework that can tackle the problem of bidding ac...

Climate change adaptation is a rapidly evolving field in conservation biology and includes a range of strategies from resisting to actively directing change on the landscape. The term 'climate change resilience,' frequently used to characterize adaptation strategies, deserves closer scrutiny because it is ambiguous, often misunderstood, and difficult to apply consistently across disciplines and...

A dynamic model with learning and adaptation captures the evolution in trader beliefs and trading strategies. Through a process of learning and observation, traders improve their understanding of the market. Traders also engage in a process of adaptation by switching between trading strategies based on past performance. The asymptotic properties are derived analytically, demonstrating that conv...