The schematic diagram of the CVCR setup with optical measurement equipment consisting of Photron SA-X2 high-speed camera and LaVision image doubler is shown in Figure 1.
To perform the flame temperature study of HVO under specified testing conditions in both the CVCR and OACIC, two-color pyrometry was applied.
In order to be able to record the reacting spray through the optical window of CVCR and to be able to detect a difference in the combustion process between the studied fuels, an ambient temperature of 920 K for CVCR and OACIC was chosen.
In the case of CVCR, where operation requires chemical preheating, the total experimental uncertainty includes uncertainty that comes from the pre-combustion phase since this defines the gas composition inside the CVCR during the fuel injection event.
CVCR shows a community's community structure change degree between consecutive time slices.
If the community [C.sup.q.sub.t] on time slice t inherits from the community [C.sup.p.sub.t-1] on time slice t - 1, then CVCR can be calculated as follows:
If the community [C.sup.q.sub.t] on time slice t is a newly created community, then CVCR can be calculated as
Figures 4 and 5 shows the change process of all communities' CV and CVCR during their lifecycle.
In this section, we introduce the method of value covered classifier; this method is called CVCR (Classification based on Value Covered Rules).
CVCR finds a set of values which can cover all the training set.
First, CVCR sorts all literals according to the information gain in a descending order and selects several best attribute values [v.sub.1], [v.sub.2], ..., [v.sub.i] which can just cover the training set T.
Since 1995 CVCR
has provided radio training to over 150 people and run a number of educational projects with schools and local groups.