The evaluation of the dynamic security electrical power system after occurrence disturbances in network is one most important tools that control center uses to maintain a safe operating mode, as well prevent cases out and complete shutdown. With annual increase size its distribution over very wide geographical area, this led new challenge assess assessment (DSA), which dealing with huge varied ...

Neural language models predict the next token using a latent representation of the immediate token history. Recently, various methods for augmenting neural language models with an attention mechanism over a differentiable memory have been proposed. For predicting the next token, these models query information from a memory of the recent history which can facilitate learning midand long-range de...

One to one correspondences between entities are not always sufficient to describe the true relationship between related entities in diverse ontologies, and complex correspondences are needed instead. We demonstrate the types of complex correspondence occurring between two LOD sources and compare techniques for discovering these complex correspondences. 1 Motivation and Background Most alignment...

In this paper we discuss four kinds of missing attribute values: lost values (the values that were recorded but currently are unavailable), ”do not care” conditions (the original values were irrelevant), restricted ”do not care” conditions (similar to ordinary ”do not care” conditions but interpreted differently, these missing attribute values may occur when in the same data set there are lost ...

Because keeping two models synchronized in a multi-view modeling scenario is a tedious and error-prone task, bidirectional model transformation approaches have been developed to automatically ensure model consistency. Many existing approaches focus on the synchronization of structural aspects, i.e. creating and deleting corresponding meta class instances as well as creating, updating and deleti...

Grid systems, which are composed of autonomous domains, are open and dynamic. In such systems, there are usually a large number of users, the users are changeable, and different domains have their own policies. The traditional access control models that are identity based are closed and inflexible. The Attribute Based Access Control (ABAC) model, which makes decisions relying on attributes of r...

In this paper, a new framework is proposed for clothing style recognition in natural scenes. Clothing region is first detected through the fusion of super-pixel segmentation, saliency detection and Gaussian Mixture Model (GMM). Next, a group of fashion attribute detectors are trained to get the likelihood of each attribute in the clothing image. Finally, the correlation matrix between clothing ...