Adaptation of a component-based system can be achieved in the coordination modelling language Paradigm through the special component McPal. McPal regulates the propagation of new behaviour and guides the changes in the components and in their coordination. Here we show how McPal may delegate part of its control to local adaptation managers, created on-the-fly, allowing for distribution of the a...

the main purpose of this research was to study the variables and factors that affect adaptation of university to external environment and to develop a model for assessment of tehran public universities adaptation to external environment. a mixed method research approach involving a three-round delphi study was used to record responses to the closed-questions and open-ended-questions. other data...

We study the event detection problem using convolutional neural networks (CNNs) that overcome the two fundamental limitations of the traditional feature-based approaches to this task: complicated feature engineering for rich feature sets and error propagation from the preceding stages which generate these features. The experimental results show that the CNNs outperform the best reported feature...

Adaptive Coding and Modulation (ACM) is a feature incorporated into the DVB-S2 satellite specification, allowing real-time adaptation of transmission parameters according to the link conditions. Although ACM was originally designed for optimizing unicast services, this article discusses the expansion of its usage to broadcasting streams as well. For this purpose, a general crosslayer adaptation...

Currently, the back-propagation is the most widely applied neural network algorithm at present. However, its slow learning speed and local minima problem are often cited as the major weakness of the algorithm. In this paper, described are an adaptive training algorithm based on selective retraining of patterns through error analysis, and dynamic adaptation of learning rate and momentum through ...

Basic definitions concerning the multi-layer feed-forward neural networks are given. The back-propagation training algorithm is explained. Partial derivatives of the objective function with respect to the weight and threshold coefficients are derived. These derivatives are valuable for an adaptation process of the considered neural network. Training and generalisation of multi-layer feed-forwar...

The quality of search performed by a search engine can be improved by letting the user specify conditions on the information structure associated with document content. Some centralised search engines have implemented structure-aware search. However, in a distributed heterogeneous search system, structured search is more difficult. The difficulties are associated with the different structural o...