Abstraction data and the flow split
Data Abstraction and Hierarchy
... Another difference between CLU and Smalltalk is found in the semantics of data objects. In Smalltalk, the operations are part of the object and can access the instance variables that make up the object's rep since ...
18
General theory for flow optimisation of split-flow thin fractionation
... magnetic split-flow thin (SPLITT) fractionation has been developed to separate macromolecules, colloids, cells and ...the flow transit regimes at both inlet and ...optimising flow rates for ...
16
Techniques for data pattern selection and abstraction
... Three additional reduction methods that involve partition of the data space, hence, their name Reduction by Space Partition (RSP1), (RSP2) and (RSP3), were proposed in [San04]. The first proposed technique, RSP1, ...
125
CiteSeerX — Data Abstraction for CSP-OZ
... The translation preserves the clear separation between data and behaviour. The CSP part of the CSP-OZ speci cation remains unchanged while the Z part has to be translated into CSP. Intuitively, the behaviour of ...
20
On Understanding Types, Data Abstraction, and Polymorphism
... The typed X-calculus is augmented by universal quantification to model generic functions with type parameters, existential quantification and packaging (information h[r] ...
52
On Understanding Types, Data Abstraction, and Polymorphism
... In the λ-calculus, everything is (or is meant to represent) a function. Numbers, data structures and even bit strings can be represented by appropriate functions. Yet there is only one type: the type of functions ...
42
Extraction of Abstraction Invariants for Data Refinement
... 6 Conclusion In this paper, we are interested in an existing approach which combines CSP processes and B descriptions. A tool allows us to generate automatically from this combination B abstract machines or their ...
20
Data Accuracy in Medical Record Abstraction
... We applied the distributed cognition framework12 and adapted Gong’s information search model11 to medical record abstraction, and applied them through a representational analysis to perf[r] ...
92
Data Abstraction Architecture for Spacecraft Autonomy
... remove data elements from a ...new data elements, building up not only an output value but a processing ...manage data over/under ...reduces data values in the individual message sections into ...
12
Data Cleaning: An Abstraction-based Approach
... A. Motivations and Contributions The data cleaning approach by Bertossi et al. in [2] is based on the matching dependences (MDs) and matching functions. Application of single MD on tuples generates a set of clean ...
7
Part II All About Data Data Abstraction
... At the dataset level, it is how these data types are combined into a larger structure such as a table, a tree, a field of values.8. Data and Dataset: 2/5.[r] ...
47
Temporal Abstraction and Data Mining with Visualization of Laboratory Data
... temporal abstraction approach to data mining the temporal hepatitis ...laboratory data change, so it might be true when we cannot obtain any new findings from this data ...tient data ...
5
Data Abstraction Best Practices with Cisco Data Virtualization
... Cisco Data Virtualization Data Abstraction Architecture Implements Gartner Discipline of Data Integration Gartner says data integration includes the practices, architectural techniques, ...
9
Inter-flow consistency: novel SDN update abstraction for supporting inter-flow constraints
... a flow has certain reliability require- ments (it carries control messages in a power grid substation) then sharing links on its path with another flow that carries, say debugging or engineering traffic, ...
50
Verification and abstraction of flow graph programs with pointers and computed jumps
... 2 This approach does not allow reasoning about the undefined values (as the approach of Barringer et al., 1984 does) but is sufficient for the expressions of L which will be considered here. Note that because the labels ...
50
Importance of Data Abstraction, Data Virtualization, and Data Services Page 1
... Leveraging Data Abstraction and Virtualization for the Corporation While the government needs data abstraction and virtualization technology, as we discussed previously, there is also need in ...
11
Data Abstraction for Visualizing Large Time Series
... an abstraction algorithm is often called a model in data min- ing ...different abstraction methods for differ- ent zoom levels, or choose such a method where the level of detail of the output can be ...
23
Measuring Data Abstraction Quality in Multiresolution Visualizations
... multivariate data sets ...form data and hierarchically clustered data, namely scatterplots, star glyphs, parallel coordinates, dimensional stacking and pixel-oriented ...screen, data, and ...
77
Abstraction for Conflict-Free Replicated Data Types
... ecution of a CRDT set on the right, it is easy to tell what the final state is: it must contain 0 for add-wins sets, but mustn’t for remove-wins sets. Knowing the con- crete implementation mechanism, the result can be ...
15
Data Organization and Abstraction for Distributed Intrusion Detection
... 6. Future Work Currently, the upgrade tool does not provide a complete Digital Rosetta Stone. It uses any version of IDMEF XML file as input, processes the data contained within the XML file through structures ...
106