In SNOMED CT, a given kind of attribute relationship is defined between two hierarchies, a source and a target. Certain hierarchies (or subhierarchies) serve only as targets, with no outgoing relationships of their own. However, converse relationships-those pointing in a direction opposite to the defined relationships-while not explicitly represented in SNOMED's inferred view, can be utilized i...

This paper presents a new model for sensor networks, Shared Distribution Map (SDMap). One challenge for sensor networks from the perspective of a network architecture is the way the recipients of sensor data handle them. Instead of a socket-type interface, we provide a twodimensional map of data distribution that is visible to all receiving nodes. SDMap has several features: automatic elaborati...

Software-Defined Network (SDN) is expected to have a significant impact on future networking. Although exciting progress has been made toward realizing SDN, application of this new networking paradigm in the future Internet to support end-to-end QoS provisioning faces some new challenges. The autonomous network domains coexisting in the Internet and the diverse user applications deployed upon t...

An abstraction network is an auxiliary network of nodes and links that provides a compact, high-level view of an ontology. Such a view lends support to ontology orientation, comprehension, and quality-assurance efforts. A methodology is presented for deriving a kind of abstraction network, called a partial-area taxonomy, for the Ontology of Clinical Research (OCRe). OCRe was selected as a repre...

In this paper we propose a method to automatically find useful abstractions of the fMRI data using a new neural network clustering technique. The purpose of these data abstractions is to alleviate the computational burden by reducing dimensionality, to minimize the risk of overfitting by reducing the number of free model parameters, and to uncover what relationships among voxels can help explai...

Datagrams and virtual circuits are not disjoint conceptual models for data communication, but rather inhabitants of a wide design space containing many other viable networking solutions. Many design choices often closely associated with these two communication styles can be decoupled from the datagram and virtual circuit abstractions, and combined to form new and effective network implementatio...

Different levels of abstraction for I/O modeling are used depending on the codesign step. However, manually changing the abstraction level of I/O models at each design step is laborious. Moreover, the designer may want to mix the level of abstraction between the I/O models and the simulation. Thus, it is very desirable to make the I/O modeling retargettable and configurable. In this paper we pr...

ion. Abstraction is essential for reasoning about reactive systems that involve data. It is based on the observation that specifications of systems usually involve simple relationships among data values. For example, verifying a program may depend on simple arithmetical relationships (predicate abstraction). In such situations abstraction can be used to reduce the complexity of Model Checking. ...

Compounds are very common in many kinds of language. Most of the research in this field is from the view of morphology, while artificial neural network is seldom concerned. Based on Hopfield model, we create a novel neural network to simulate the recognition process of compounds in English and Chinese. Our model is composed of two layers: abstraction layer and recognition layer. The first layer...