Simulation Parameters Component Parameter Zipf parameter ([theta]) Server Data item
size Transaction length (# of operations) Read operation probability (for update transactions) Read-only to update transactions ratio Mobile Transaction Mean inter-operation delay Mean inter-transaction delay The number of mobile transactions Component Range 0.0-1.0 Server 8000 bits 8 0.5 0.7 Mobile Transaction 65,536 bit-times (exponentially distributed) 131,072 bit-times (exponentially distributed) 100-1000
Property Description Type MEA number The number of each MEA culture Char dish Culture date The date when neurons were seeded Date time onto the MEA dish Recording date The date when recording was made Date time DIV (days in vitro) The age of the culture Integer Is Raw True = raw data Boolean Is Spk True = spike data Boolean Drug ID If available, specifies the name Foreign key of the drug applied to the culture Stimulation ID If available, specifies the name Foreign key of the stimulation protocol Operator Specifies the person who conducted Char the experiment Filename Original filename Char Memo Other descriptions Char Table 2: Permission codes of data items
. Users in the Roles Owner same group All users Permission code RWDX| | |RWDX| | |RWDX R: read; W: write; D: delete; X: execute.
In each sensor node, the collected data items
and the received bit maps are encrypted together.
Let us assume that the FPGA can sort L blocks and each block contains up to N data items
Figure 3 shows all the steps of accommodating input data items
in the major block of Fig.
Similarly, we can define [der.sub.p] : protocol [right arrow] [eta] to complete mapping from the protocol to the cost-effectiveness ratio and define [der.sub.d] : data [right arrow] [eta] to complete mapping from the data item
to the cost-effectiveness ratio.
On the other hand, since each data item
[D.sub.i] has its own access probability Pr([D.sub.i]), the average data-access time can be expressed as a weighted summation of the average access time of all data items
In this paper, we try to improve the routing performance by resorting to an efficient data item
selection mechanism in MONs.
The query process continuously generates location-dependent queries for different data items
. After the current query is completed, the client waits for an exponentially distributed time period with a mean of QueryInterval before the next query is issued.
Our role is to recommend changes to definitions for perinatal data items
where necessary and to submit new data items
to the Health Data Standards Committee (HDSC) for inclusion in the Australian Institute of Health and Welfare's metadata online registry METeOR, and to the Statistical Information Management Committee (SIMC) for inclusion in the Perinatal National Minimum Data Set.
The out-of-compliance percentage for a data item