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TABLE 27 Data entered for a user-defined alternative Data input Field type Description

in unknown title
by unknown authors

Table 2.2. Mapping specification for user-defined data types UML entity to

in Specifications for Mapping UML Models to XML Schemas
by Krish Narayanan

Tables 2.1 and 2.2, represent mapping specification for built-in and user-defined data types.

in Specifications for Mapping UML Models to XML Schemas
by Krish Narayanan

Table 1: The user-defined parameters of G-TERD.

in Generating Dynamic Raster Data
by Theodoros Tzouramanis, Michael Vassilakopoulos, Yannis Manolopoulos
"... In PAGE 3: ... 3 The operation of G-TERD 3.1 User-Defined Parameters and Distributions In G-TERD several parameters may be user-defined in order to let the user control the behavior of the generator ( Table1 ). The appropriate definition of these parameters is the simplest technique to control the properties of the resulting data sets.... In PAGE 5: ... 3.4 The Main Routine The input of the algorithm consists of the values and statistical distributions of all the parameters and variables that appear in Table1 and Table 2, respectively. During the scene initialization phase at time slot t = 0, a user- defined number of live objects is created and located in the workspace.... ..."
Cited by 1

Table 1: The user-defined parameters of G-TERD.

in Associate Editors
by Amdb A Design, Tool Access, Methods Marcel Kornacker, Mehul Shah, Joseph M. Hellerstein, Michael Cammert, Christoph Heinz, Jürgen Krämer, Martin Schneider, Bernhard Seeger, Real Spatiotemporal, A. Nascimento, Dieter Pfoser, Yannis Theodoridis, Generating Dynamic, Raster Data, Theodoros Tzouramanis, Michael Vassilakopoulos, Yannis Manolopoulos, Thanaa M. Ghanem, Walid G. Aref, David B. Lomet, Umeshwar Dayal, Johannes Gehrke, Christian S. Jensen, Renée J. Miller
"... In PAGE 37: ... 3 The operation of G-TERD 3.1 User-Defined Parameters and Distributions In G-TERD several parameters may be user-defined in order to let the user control the behavior of the generator ( Table1 ). The appropriate definition of these parameters is the simplest technique to control the properties of the resulting data sets.... In PAGE 39: ... 3.4 The Main Routine The input of the algorithm consists of the values and statistical distributions of all the parameters and variables that appear in Table1 and Table 2, respectively. During the scene initialization phase at time slot t =0, a user- defined number of live objects is created and located in the workspace.... ..."

TABLE VI NUMBER OF OPERATIONS AND USER-DEFINED TYPES IN STANDARD OMG SERVICES

in Techniques for Optimizing CORBA Middleware for Distributed Embedded Systems
by Aniruddha Gokhale, Douglas C. Schmidt

TABLE XVIII NUMBER OF OPERATIONS AND USER-DEFINED TYPES IN STANDARD OMG SERVICES

in Optimizing a CORBA Inter-ORB Protocol (IIOP) Engine for Minimal Footprint Embedded Multimedia Systems
by Aniruddha Gokhale, Douglas C. Schmidt

Table2: Simulation Performance

in A Practical Approach for Bus Architecture Optimization at Transaction Level
by Osamu Ogawa, Sylvain Bayon, Noyer Pascal, Chauvet Katsuya Shinohara, Yoshiharu Watanabe, Hiroshi Niizuma, Takayuki Sasaki, Yuji Takai 2003
"... In PAGE 5: ... As for the operation rate of ARM, we calculated it using the number of iterations of Dhrystone. As for the operation rate of GE/DCU, we calculated the simulation cycle counts in Table2 which GE and DCU required in order to process data of one frame size. In this way, we could find out the quantitative performance of thirteen different architectures for one of the candidates of hardware/software partitioning by changing the number of bus layers, arbitration scheme, memory location as a software strategy or adding a memory for GE and DCU.... In PAGE 6: ...4GHz, RDRAM 512MB, LINUX) for this measurement. We show the results in Table2 . In Table 2, Simulation Cycle Count is the number of cycles that GE and DCU require to process data of one frame size, and Simulation Time is CPU time, which the simulation requires.... ..."
Cited by 4

Table 3 Methods for asking users to define information requirements

in
by unknown authors
"... In PAGE 11: ...methods listed in Table3 can also be used in conjunction with other strategies. Deriving from an existing information system Existing information systems that have been implemented and have an operational history can be used to derive requirements for a proposed information system for the same type of organization or for the same type of application.... ..."

Table I User-defined weights

in
by Manas A. Pathak, Vivek, S. Thakre 2006
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