1. A method for training a knowledge base, the method comprising:
imaging at least a portion of a first object having a target portion to generate a first image;
analyzing the first image using a first series of algorithms to generate a first algorithm value cache;
removing the target portion from the first object to form a modified first object;
imaging at least a portion of the modified first object to generate a second image;
analyzing the second image using the first series of algorithms to generate a second algorithm value cache;
generating a transformed result using a subtraction process on the first algorithm value cache and the second algorithm value cache; and
storing the transformed result in a knowledge base.
2. The method of claim 1, wherein the first object includes a cadaver and the target portion includes a diseased portion.
3. The method of claim 1, wherein the first object includes an agricultural product and the target portion includes a contaminant.
4. The method of claim 1, wherein analyzing the first image comprises:
a) retrieving a first target data element in a data set corresponding to the first image;
b) processing the first series of algorithms on a target data area for the retrieved first target data element;
c) repeating a) and b) for a plurality of target data elements in the first data set; and
d) storing the results of the processed first series of algorithms to generate the first algorithm value cache.
5. The method of claim 1, further comprising analyzing an unknown sample using the stored transformed result.
6. A method for training a knowledge base, the method comprising:
imaging a test object formed of a benchmark material to generate a first image;
analyzing the first image using a first series of algorithms to generate a first algorithm value cache;
placing the test object in a cadaver to form a cadaver and test object combination;
imaging at least a portion of the cadaver and test object combination to generate a second image;
analyzing the second image using the first series of algorithms to generate a second algorithm value cache;
performing a subtraction process using the first and second algorithm value cache to generate a filter;
receiving a tissue sample containing a tumor;
imaging the tissue sample to generate a third image;
analyzing the third image using the first series of algorithms to generate a third algorithm value cache;
transforming the third algorithm value cache using the filter to generate a transformed result; and
storing the transformed result in a knowledgebase.
7. The method of claim 6, further comprising removing any normal tissue from the tissue sample before imaging the tissue sample.
8. The method of claim 6, wherein the benchmark material includes stainless steel.
9. The method of claim 6, wherein the benchmark material includes titanium.
10. The method of claim 6, wherein imaging the test object and the tissue sample includes ultrasound imaging.
11. The method of claim 6, further comprising analyzing an unknown sample using the stored transformed result.
12. A system for training a knowledge base comprising:
a processor;
a memory in data communication with the processor;
a user interface in data communication with the processor;
a software module for storage in the memory and operable by the processor, the software module configured to:
generate a first algorithm value cache using a first series of algorithms and previously generated diseased cadaver image data;
generate a second algorithm value cache using the first series of algorithms and previously generated cadaver with diseased portion removed image data;
generate a transformed result using a subtraction process on the first algorithm value cache and the second algorithm value cache; and
store the transformed result in a knowledgebase.
13. The system of claim 12, wherein the software module is further configured to analyze previously generated unknown sample image data using the transformed result.
14. A system for training a knowledge base comprising:
a processor;
a memory in data communication with the processor;
a user interface in data communication with the processor; and
a software module for storage in the memory and operable by the processor, the software module configured to:
generate a first algorithm value cache using a first series of algorithms and previously generated test object image data;
generate a second algorithm value cache using the first series of algorithms and previously generated cadaver with test object image data;
perform a subtraction process using the first algorithm value cache and the second algorithm value cache to generate a filter;
generate a third algorithm value cache using the first series of algorithms using previously generated tissue sample image data;
generate a transformed tissue sample result using the filter and the third algorithm value cache; and
store the transformed result in a knowledgebase.
15. The system of claim 14, wherein the test object image data was generated using a test object made of a benchmark material that includes stainless steel.
16. The system of claim 14, wherein the test object image data was generated using a test object made of a benchmark material that includes titanium.
17. The system of claim 14, wherein the test object image data and the tissue sample image data include ultrasound image data.
18. The system of claim 14, wherein the software module is further configured to analyze previously generated unknown sample image data using the transformed result.
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 passive solar tracker and concentrating system comprising
a. a two-axis gimbal system in which a pair of containers partially filled with a volatile fluid are affixed to two opposing sides of the frame attached to each of the two orthogonal axes, each of said pair being in fluidic communication by means of a connecting tube, and each of said containers being shielded by a shade, so that the equilibrium orientation of the gimbal system corresponds to that where the plane defined by the inner gimbal frame faces the sun normally as a result of each of said pairs of containers being equally irradiated by the sun;
b. a light concentrating element attached to said two-axis gimbal system, which focuses the incident solar radiation; and
c. a target which intercepts said focused solar radiation.
2. A passive solar tracker and concentrating system according to claim 1 wherein said containers holding said volatile fluid are segmented and each of the sub-chambers is in fluidic communication with the corresponding one on the opposite side of the associated axis by means of a connecting tube.
3. A passive solar tracker and concentrating system according to claim 2 wherein each of said sub-chambers is substantially filled with said volatile fluid.
4. A passive solar tracker and concentrating system according to claim 2 wherein said volatile fluid increases its vapor pressure by more than approximately 10 kPa per degree Celsius increase in its temperature.
5. A passive solar tracker and concentrating system according to claim 1 wherein said light concentrating element is a lens.
6. A passive solar tracker and concentrating system according to claim 5 wherein each significant mass element is balanced by an equal mass element positioned at a diametrically opposite location through the point where the two axes of the gimbal intersect.
7. A passive solar tracker and concentrating system according to claim 1 wherein said light concentrating element consists of a reflective dish and a mirror positioned in front of the focus of the dish.
8. A passive solar tracker and concentrating system according to claim 7 wherein the reflective dish has a parabolic shape.
9. A passive solar tracker and concentrating system according to claim 7 wherein each significant mass element is balanced by an equal mass element positioned at a diametrically opposite location through the point where the two axes of the gimbal intersect.
10. A passive solar tracker and concentrating system according to claim 1 wherein said target is an optical fiber or fiber bundle.
11. A passive solar tracker and concentrating system according to claim 1 wherein said target is a solar panel.
12. A passive solar tracker and concentrating system according to claim 1 wherein said target is a thermally driven engine such as a Stirling engine.