Author: claimsbot

1. A coating method for a car body in which a color base coating material, a pearl base coating material and a clear coating material are applied on the car body by a 3 coat 1 bake system making use of a 2 coat 1 bake coating line in which applied are a base coating material in the first stage and a clear coating material in the second stage and then two layer coating films thus formed are heated and cured in the same time, wherein the color base coating material and the pearl base coating material are applied in the first stage, and then the clear coating material is applied in the second stage; and subsequently, three layer coating films thus formed are heated and cured at the same time.
2. The coating method for a car body as described in claim 1, wherein installed is each one reciprocating type automatic coating apparatus for coating horizontal parts and vertical parts of the car body equipped with two or more coating material-spraying nozzles; respectively sprayed and applied are the color base coating material from at least one spraying nozzle at a carrying-in side of the car body and the pearl base coating material from at least one spraying nozzle at a carrying-out side of the car body.
3. The coating method for a car body as described in claim 1, wherein the color base coating material has a solid content of 10 to 60 % by weight and a viscosity of 10 to 30 secondsFord cup 420 C.
4. The coating method for a car body as described in claim 1, wherein the color base coating material is applied in a thickness of 5 to 30 m in terms of a cured film thickness.
5. The coating method for a car body as described in claim 1, wherein the pearl base coating material has a solid content of 10 to 60 % by weight and a viscosity of 10 to 30 secondsFord cup 420 C.
6. The coating method for a car body as described in claim 1, wherein the pearl base coating material is applied in a thickness of 5 to 30 m in terms of a cured film thickness.
7. The coating method for a car body as described in claim 1, wherein the color base coating material and the pearl base coating material contain an organic solvent having a boiling point of about 80 to about 110 C.
8. The coating method for a car body as described in claim 1, wherein the color base coating material and the pearl base coating material are applied in the first stage; then, the clear coating material is applied on the horizontal parts and the vertical parts of the car body by means of the reciprocating type automatic coating apparatuses in the second stage; and the three layer coating films formed are heated and cured at the same time.
9. The coating method for a car body as described in claim 1, wherein the clear coating material has a solid content of 30 to 60% by weight and a viscosity of 10 to 30 secondsFord cup 420 C.
10. The coating method for a car body as described in claim 1, wherein the clear coating material is applied in a thickness of 20 to 60 m in terms of a cured film thickness.
11. The coating method for a car body as described in claim 1, wherein the three layer coating film formeds are heated at about 120 to about 170 C. and cured at the same time.
12. A car body coated by the method as described in claim 1.

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 system for processing language input comprising:
a natural language processor configured to convert a language input into a plurality of possible meanings and to assign a confidence value to each of said possible meanings; and
an anomaly detector configured to detect the occurrence of at least one irregularity within said language input using at least one relative delta computation, wherein each value of a relative delta computation uniquely corresponds to a type of irregularity within said language input such that values of relative delta computations vary depending on the corresponding type of irregularity, and wherein the anomaly detector is further configured to determine the corresponding type of the at least one irregularity based upon said at least one relative delta computation.
2. The system of claim 1, further comprising:
a training engine configured to generate thresholds used by said anomaly detector to detect said irregularities.
3. The system of claim 1, wherein said anomaly detector further comprises a relative delta score calculator configured to calculate relative delta computations.
4. The system of claim 1, wherein said anomaly detector further comprises a relative delta score interpreter configured to compare relative delta computations to threshold values to detect said irregularities.
5. The system of claim 1, wherein said anomaly detector further comprises a learning module configured to adjust threshold values base upon operational behavior.
6. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:
determining at least two possible meanings for a language input;
for each possible meaning, determining a probability that said possible meaning is a correct interpretation of said language input;
computing at least one relative delta computation based at least in part upon said probabilities, wherein each value of a relative delta computation uniquely corresponds to a type of irregularity within said language input such that values of relative delta computations vary depending on the corresponding type of irregularity;
detecting at least one irregularity within said language input and determining the corresponding type of the at least one irregularity based upon said relative delta computation; and
performing at least one programmatic action responsive to detecting said irregularity.
7. The machine-readable storage of claim 6, wherein said irregularity comprises mumble.
8. The machine-readable storage of claim 6, wherein said irregularity comprises ambiguous input.
9. The machine-readable storage of claim 6, wherein said irregularity comprises compound input.
10. The machine-readable storage of claim 4, wherein said at least one irregularity detected by said method comprises two or more irregularities, said method further comprises the step of:
differentiating between different ones of said irregularities such that different programmatic actions are performed responsive to detecting different irregularities.
11. The machine-readable storage of claim 6, wherein said programmatic action comprises the step of prompting a user for further input to resolve said irregularity.
12. The machine-readable storage of claim 6, said computing step further comprising the steps of:
computing a numerator by subtracting a probability of a second one of said meanings from the probability of a first one of said meanings;
setting a denominator to the probability of said first meaning; and
dividing said numerator by said denominator.
13. The machine-readable storage of claim 6, further comprising the step of receiving a top-n list of possible meanings for said language input, wherein said determining of possible meanings further comprises selecting at least two possible meanings contained within said top-n list.
14. The machine-readable storage of claim 13, wherein said possible meanings of said top-n list are each associated with a probability that said possible meaning is a correct interpretation of said language input, said selecting step further comprises the step of selecting said two possible meanings having the highest probabilities.
15. The machine-readable storage of claim 6, wherein said at least two possible meanings comprise at least three possible meanings, said method further comprises ordering said possible meanings according to said probabilities, wherein said computing step further comprises the steps of:
computing a first relative delta computation based upon two sequentially ordered ones of said possible meanings; and
computing a second relative delta computation based upon two different sequentially ordered ones of said ordered meanings, wherein said detecting of said irregularity is based upon said first relative delta computation and said second relative delta computation.
16. The machine-readable storage of claim 6, wherein said probability that each possible meaning is a correct interpretation is a confidence value; said method further comprising the steps of:
receiving a plurality of language inputs;
for each language input, determining at least two possible meanings and associated confidence values;
plotting at least a portion of said confidence values on a graph; and
determining at least one threshold from said graph, wherein said relative delta computation is compared against said threshold when detecting said irregularity.
17. The machine-readable storage of claim 16, further comprising the step of:
presenting said graph within a graphical user interface; and
automatically adjusting said threshold using controls of said graphical user interface.
18. A system for processing language input comprising the steps of:
means for determining at least two possible meanings for a language input;
means for determining a probability that said possible meaning is a correct interpretation of said language input for each possible meaning;
means for computing at least one relative delta computation based at least in part upon said probabilities, wherein each value of a relative delta computation uniquely corresponds to a type of irregularity within said language input such that values of relative delta computations vary depending on the corresponding type of irregularity;
means for detecting at least one irregularity within said language input and determining the corresponding type of the at least one irregularity based upon said relative delta computation; and
means for performing at least one programmatic action responsive to detecting said irregularity.

1. A method for controlling one or more of engine thrust cutback and engine thrust restoration, as related to aircraft environmental emissions abatement, said method comprising:
receiving aircraft location data, including at least latitude data and longitude data, from at least one navigational sensing system;
comparing the aircraft location data against location data, including at least latitude data and longitude data, identifying an environmental emissions abatement area; and
controlling at least one of thrust cutback and thrust restoration of the aircraft engines based on a comparison of aircraft location relative to a location of the environmental emissions abatement area.
2. A method according to claim 1 wherein receiving aircraft location data from at least one navigational sensing system comprises receiving aircraft location data from at least one of a global positioning system, an air data system, and an inertial reference system.
3. A method according to claim 1 wherein comparing the aircraft location data against location data identifying an environmental emissions abatement area comprises accessing a database relating to a location of an environmental emissions monitor.
4. A method according to claim 3 wherein accessing a database relating to a location of an environmental emissions monitor comprises accessing a latitude and longitude for one or more environmental emissions monitors.
5. A method according to claim 1 wherein controlling at least one of thrust cutback and thrust restoration of the aircraft engines comprises controlling at least one of thrust cutback and thrust restoration based on a lateral distance from one or more environmental emissions monitors.
6. A method according to claim 5 further comprising accessing one or more latitude and longitude locations identifying where aircraft engine thrust is to be cutback or restored.
7. A method according to claim 1 wherein controlling at least one of thrust cutback and thrust restoration comprises:
controlling thrust cutback based on the comparing of aircraft location to the location of the environmental emissions abatement area; and
controlling thrust restoration based on aircraft altitude.
8. A method according to claim 1 wherein controlling at least one of thrust cutback and thrust restoration comprises:
controlling thrust cutback based on aircraft altitude; and
controlling thrust restoration based on the comparing of aircraft location to the location of the environmental emissions abatement area.
9. A method according to claim 1 wherein environmental emissions abatement includes noise abatement.
10. A method according to claim 1 further comprising manually entering at least one of a thrust cutback location and a thrust restoration location through a control display unit.
11. A method according to claim 1 wherein controlling at least one of thrust cutback and thrust restoration of the aircraft engines comprises providing at least one of thrust cutback and thrust restoration commands to at least one of an autopilotflight director system and an automatic throttle control system from a flight management computer.
12. A flight management system for an aircraft comprising:
a flight management computer;
at least one sensor system configured to provide a location, including at least latitude data and longitude data, of the aircraft to said flight management computer;
at least one unit configured to provide said flight management computer with data relating to a position of one or more environmental emissions monitors, the data including at least latitude data and longitude data; and
a thrust management system communicatively coupled to said flight management computer, said flight management computer operable to control operation of said thrust management system for meeting environmental emissions abatement standards, at least one of thrust cutback and thrust restoration based upon a comparison of aircraft location relative to a location of the environmental emissions monitor position.
13. A flight management system according to claim 12 wherein said at least one sensor system comprises at least one of a global positioning system, an air data system, and an inertial reference system.
14. A flight management system according to claim 12 wherein said at least one unit comprises a database of environmental emissions monitor locations.
15. A flight management system according to claim 12 wherein said at least one unit comprises a database of aircraft engine thrust cutback and thrust restoration locations.
16. A flight management system according to claim 12 wherein said flight management computer is configured to cause thrust management system to control at least one of thrust cutback and thrust restoration based on a lateral distance from one or more environmental emissions monitors.
17. A flight management system according to claim 12 wherein said flight management computer is configured to:
utilize said thrust management system to control thrust cutback based on a comparison of aircraft location and a location of an environmental emissions abatement area, the abatement area defined by the location of one or more of the environmental emissions monitors; and
utilize said thrust management system to control thrust restoration based on aircraft altitude.
18. A flight management system according to claim 12 wherein said flight management computer is configured to:
utilize said thrust management system to control thrust cutback based on aircraft altitude; and
utilize said thrust management system to control thrust restoration based on a comparison of aircraft location and a location of an environmental emissions abatement area.
19. A flight management system according to claim 12 further comprising at least one control display unit, said flight management system configured for manual entry of at least one of a thrust cutback location and a thrust restoration location through a said control display unit.
20. A flight management system according to claim 12 wherein said thrust management system comprises at least one of an autopilotflight director system and an automatic throttle control system.

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 process of synthesizing a composite colloidal polymer-inorganic material, comprising the steps of:
a) synthesizing a dispersion of polymer microparticles in a liquid;
b) treating said dispersion of polymer microparticles to modify an outer surface of the polymer microparticles to provide an effective concentration of ligands on the outer surface of the polymer microparticles, the ligands being selected to form a complex with atoms of a metal, ions of the metal, or molecular moieties containing the metal at the surface of the polymer microparticle;
c) adding atoms of the metal, ions of the metal, or molecular moieties containing the metal to the dispersion of polymer microparticles under conditions suitable to facilitate formation of a complex between the ligands and the atoms of the metal, ions of the metal, or molecular moieties at the surface of the polymer microparticles; and
d) exposing the dispersion of polymer microparticles to an effective agent which interacts with the atoms of the metal, ions of the metal, or molecular moieties containing the metal to form nanoparticles on the outer surface of the polymer microparticles, the nanoparticles being comprised of at least the metal, the effective concentration of ligands being selected to give nanoparticles with specified material properties.
2. The process according to claim 1 including encapsulating the polymer microparticles with the nanoparticles on the outer surface thereof in a polymeric shell, and annealing the encapsulated polymer microparticles with the nanoparticles on the outer surface thereof together to form a periodic array of polymer microparticles.
3. The process according to claim 1 wherein the specified material properties include size, morphology and crystallinity of the nanoparticles which permit control over optical, electronic and magnetic properties of the nanoparticles.
4. The process according to claim 1 wherein the step of treating said dispersion of polymer microparticles to modify an outer surface of the polymer microparticles provides electrically charged ligands which facilitate formation of an electrical double layer into which ions of opposite electrical charge are incorporated.
5. The process according to claim 4 wherein the electrically charged ligands are negatively charged, and wherein the ions of opposite electrical charge are cations of the metal.
6. The process according to claim 4 wherein the electrically charged ligands are positively charged, including adding a selected anion to the dispersion wherein the anions coordinate with the positively charged ligands to form a negatively charged ligand-anion complex, and wherein cations of the metal are incorporated into an electrical double layer produced by the negatively charged ligand-anion complex.
7. The process according to claim 6 wherein the cations of the metal are added to the dispersion in a salt of the metal, and wherein the effective agent is a reducing agent, and wherein the nanoparticles comprise the selected metal by itself.
8. The process according to claim 5 wherein the cations of the metal are added to the dispersion in a salt of the metal, and wherein the effective agent is a reducing agent, and wherein the nanoparticles comprise the selected metal by itself.
9. The process according to claim 5 wherein the effective agent includes anions which react with the metal cations to form a compound, the nanoparticles being comprised of the compound.
10. The process according to claim 9 wherein the compound is one of a semiconductor, metal hydroxide and metal oxide.
11. The process according to claim 9 wherein the metal ion is Cd+2, and the anion is S\u22122, and wherein the compound is a semiconductor CdS.
12. The process according to claim 10 wherein the semiconductor is selected from the group consisting of CdS, PbS, CdSe and CdTe.
13. The process according to claim 8 wherein the metal is silver and the metal salt is a silver salt, and wherein the nanoparticles are silver nanoparticles.
14. The process according to claim 13 wherein the silver salt is AgNO3 contained in an aqueous solution, and wherein the reducing agent is NaBH4 contained in a solution mixed with the dispersion of core polymer microparticles.
15. The process according to claim 7 wherein the metal is selected from the group consisting of Ag, Au, Co, Ni, Fe, Ag, Au, Co, Mn, Ni, Fe, Pt, Ta, W, Cu, Si, Mo, Zn, Cd, Nb, Y, Ge, Sn, Pb, Al, Ga, In and Ti.
16. The process according to claim 8 wherein the metal is selected from the group consisting of Ag, Au, Co, Ni, Fe, Ag, Au, Co, Mn, Ni, Fe, Pt, Ta, W, Cu, Si, Mo, Zn, Cd, Nb, Y, Ge, Sn, Pb, Al, Ga, In and Ti.
17. The process according to claim 5 wherein the wherein the cations of the metal are added to the dispersion in a salt of the metal, and wherein the effective agent includes oxide anions which react with the metal cations to form a metal oxide, the nanoparticles being comprised of the metal oxide.
18. The process according to claim 17 wherein the metal is selected from the group consisting of Ag, Au, Co, Ni, Fe, Ag, Au, Co, Mn, Ni, Fe, Pt, Ta, W, Cu, Si, Mo, Zn, Cd, Nb, Y, Ge, Sn, Pb, Al, Ga, In and Ti.
19. The process according to claim 1 wherein the polymer microparticles are selected from the group consisting of poly(methyl methacrylate-methacrylic acid) (PMMA-PMAA) latex, and crosslinked poly(styrene-acrylic acid) (PS-PAA) latexes.
20. The process according to claim 1 wherein the step of synthesizing a dispersion of polymer microparticles includes synthesizing the polymer microparticles containing carboxyl (COOH) groups, and wherein the step of treating the dispersion of polymer microparticles to modify an outer surface of the polymer microparticles includes deprotonation of the COOH groups to produce charged COO\u2212 groups on the surface of the polymer microparticles which contribute to formation of the electrical double layer.
21. The process according to claim 20 wherein deprotonation of the COOH groups is achieved by mixing a solution containing KOH with the dispersion of polymer microparticles.
22. The process according to claim 20 wherein the dispersion is synthesized with the polymer microparticles present in an amount of about 20 wt % of the dispersion.
23. The process according to claim 20 wherein the step of encapsulating the polymer microparticles with the nanoparticles on the outer surface thereof in a polymeric shell includes surfactant-free emulsion polymerization of a selected shell-forming polymer on the surface of the polymer microparticles containing the nanoparticles on the surfaces thereof.
24. The process according to claim 23 wherein the selected shell-forming polymer is polystyrene-poly(methyl methacrylate)-polyacrylic acid-poly(butyl methacrylate) copolymer with a weight ratio of about 2.51012.5, respectively.
25. The process according to claim 1 wherein the polymer microparticles are microspheres synthesized with a diameter in a range from about 20 nm to about 200 microns.
26. The process according to claim 1 wherein the polymer microparticles are substantially monodisperse microspheres.
27. The process according to claim 1 to 26 wherein the polymer microparticles are synthesized with at least two polymer constituents in pre-selected ratios to each other, the pre-selected ratios of the various polymer constituents being selected to give nanoparticles having pre-selected properties.
28. The process according to claim 1 wherein the polymer microparticles are synthesized from a polymer material having at least one functional group which can be selectively ionized during the step of treating said dispersion of polymer microparticles to modify an outer surface of the polymer microparticles provides electrically charged ligands.
29. The process according to claim 28 wherein said at least one functional group is carboxyl (COON).