1. A Reactive Current Transformer (RCT) utilizing a reactive power component of electric energy and converting it into an active power with an output alternating current (AC) of a given frequency and voltage magnitude, comprising:
a source of electromagnetic radiation (SEMR) for emitting an exciting oscillations of power;
at least a first receiving inductive coil, positioned close to the SEMR; the inductive coil receiving a coil induced power in vicinity of said SEMR and producing an induced alternating current (AC); and
a collector intended for collecting the coil induced power from said receiving inductive coil and converting a collector induced AC into the output AC with the given frequency and voltage magnitude.
2. The RCT of claim 1, wherein the SEMR including an emitting oscillating resonant circuit (EORC) and a driving generator producing an electric current oscillations to make the EORC to emit the electromagnetic (EM) radiation.
3. The RCT of claim 2, wherein the driving generator is a spark gap, transistor or vacuum tube type.
4. The RCT of claim 3, wherein at least the first receiving inductive coil is loosely electromagnetically coupled in the absence of a ferromagnetic core with the EORC of the SEMR with a coupling coefficient k\u22660.48.
5. The RCT of claim 4, wherein at least the first receiving inductive coil is tuned to resonate at the same frequency as the EORC of the SEMR.
6. The RCT of claim 5, further comprising additional receiving inductive coils, as many as required to get a necessary capacity of the system, loosely electromagnetically coupled in the absence of a ferromagnetic core and tuned to resonate at the same frequency with the EORC of the SEMR, performing the same function as the first receiving inductive coil, all receiving inductive coils contributing to the RCT output.
7. The RCT of claim 6, wherein the receiving inductive coils are grounded.
8. The RCT of claim 7, wherein SEMR is a Tesla coil type transformer (TT) comprising the driving generator, a driving oscillating resonant circuit (DOC) and the EORC loosely electromagnetically coupled with the DOC in the absence of a ferromagnetic core.
9. The RCT of claim 8, further comprising an automatic frequency control to automatically keep the TT driving generator outputting AC frequency being tuned to a changing resonance in the TT EORC.
10. The RCT of claim 1, wherein the SEMR driving generator is being fed by initial electric power from a battery or an outer electric net.
11. The RCT of claim 10, further comprising a power feeding circuit from the system output, back to the SEMR input to produce a feedback source of electric power, intended for self-feeding the RCT with electric power.
12. The RCT of claim 1, wherein the collector comprises an additional inductive winding, mounted inside each said receiving inductive coil and electromagnetically coupled with it.
13. A method for producing an electrical current, said method comprising:
inductively transforming a reactive power into an active power with an output alternating current (AC) of a given frequency and voltage magnitudes.
14. The method of claim 13, wherein the transforming is performed by
loosely electromagnetically coupling inductive coils with a source of electromagnetic radiation (SEMR) in the absence of a ferromagnetic core; positioning inductive coils close to said SEMR;
tuning a resonance of said inductive coils and the SEMR to resonate at the same frequency;
receiving a coil induced power by said inductive coils in vicinity of said SEMR and producing an induced alternating current, which is collected from said inductive coils and converted to the AC output with the given frequency and voltage magnitude.
15. The method of claim 14, wherein
collecting is performed by an additional inductive winding, mounted inside each said receiving inductive coil and electromagnetically coupled with it.
16. The method of claim 14, wherein SEMR is a Tesla coil type transformer.
17. The method of claim 14, wherein SEMR is fed by initial electric power from a battery or an outer electric net.
18. The method of claim 14, wherein SEMR is additionally fed by RCT output power.
19. The method of claim 14, wherein the coupling coefficient k\u22660.48.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer implemented method for generating intelligent caching recommendations related to dynamic web content for use on a caching system, comprising:
extracting data associated with the dynamic content of interest in accordance with a predetermined data model;
analyzing the extracted data in accordance with plurality of certainty factors and a rules based expert system; and
generating a set of caching recommendations from the analyzed data suitable for use by the caching system.
2. The computer implemented method of claim 1 wherein the step of extracting the data comprises:
a dynamic content model in combination with dynamic content descriptors; and produces a plurality of entity-relationship data.
3. The computer implemented method of claim 1 wherein the step of analyzing the extracted data comprises:
obtaining an object dependency model;
obtaining a weighting scheme;
creating an enhanced object dependency graph model combined with cacheability data; and,
creating a cache advisor report.
4. The computer implemented method of claim 1 wherein, the step of generating a set of caching recommendations comprises:
obtaining a cache policy model for use with a generator; and
generating a cache policy.
5. The computer implemented method of claim 3, wherein the enhanced object dependency graph model combined with cacheability data and the cache advisor report may be optionally viewed through a visualizer.
6. The computer implemented method of claim 5, wherein optional viewing through the visualizer provides color-keyed output of the enhanced object dependency graph model combined with cacheability data designating the inherent relationships and properties of the enhanced object dependency model combined with cacheability data.
7. The computer implemented method of claim 1, wherein the steps of extracting data associated with the dynamic content of interest in accordance with a predetermined data model, the analyzing the extracted data in accordance with plurality of certainty factors and a rules based expert system and the generating a set of caching recommendations from the analyzed data suitable for the caching system and implementing the recommendations in the caching system are repeated iteratively, as in a loop, automatically generating intelligent caching recommendations related to the dynamic web content for use on the caching system.