Author: claimsbot

1. A method of providing forecast of road transit times on roads of a monitored roads network, comprising:
receiving a forecasted road transit time indication calculated by a road traffic monitoring system in respect of at least one road of the monitored roads network;
correcting the received forecasted road transit time indication based on information obtained from a cellular mobile communications network, wherein said information includes information related to mobile terminals connected to the cellular mobile communications network and engaged in calls, and located in the neighborhood of the at least one road.
2. The method of claim 1, wherein said information includes at least one among:
an indication of a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of the at least one road; and
an indication of a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of the at least one road and engaged in calls.
3. The method of claim 2, wherein said correcting comprises:
altering the received forecasted road transit time indication in a first way in case said indication of a number of calls, or said indication of a number of successive positions, exceeds a first predetermined threshold;
altering the received forecasted road transit time indication in a second way, contrary to the first way, in case said indication of a number of calls, or said indication of a number of successive positions, is below a second predetermined threshold lower than the first predetermined threshold;
leaving the received forecasted road transit time indication essentially unaltered in case said indication of a number of calls, or said indication of a number of successive positions, falls amidst said first and second predetermined thresholds.
4. The method of claim 3, wherein said forecasted road transit time indication includes a forecasted average road transit speed, and said altering in the first way comprises decreasing the forecasted average road transit speed, whereas said altering in the second way comprises increasing the forecasted average road transit speed.
5. The method of claim 4, wherein an amount of said decreasing is related to a comparison between said indication of a number of calls, or said indication of a number of successive positions, and the first predetermined threshold.
6. The method of claim 4, wherein an amount of said increasing is related to a comparison between said indication of a number of calls, or said indication of a number of successive positions, and the second predetermined threshold.
7. The method of claim 4, wherein said increasing has an upper limit.
8. The method of claim 7, wherein said upper limit is related to a maximum allowed road transit speed on the at least one road.
9. The method of claim 1, comprising:
assigning to said at least one road a transit sense; and
in said information related to mobile terminals connected to the cellular mobile communications network and engaged in calls, and located in the neighborhood of the at least one road, considering mobile terminals that are moving congruently to the transit sense assigned to the road.
10. The method of claim 1, wherein said mobile terminals located in the neighborhood of the at least one road include mobile terminals that are located within a predetermined distance from the road.
11. The method of claim 3, wherein said first and second predetermined thresholds are calculated based on historical data derived from the cellular mobile communications network.
12. The method of claim 11, wherein said historical data include historical data related to a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of the considered at least one road, or historical data related to a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of the considered at least one road and engaged in calls.
13. The method of claim 11, wherein said historical data include historical data related to a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of a road of a same road type as the considered at least one road, or historical data related to a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of a road of the same type as the considered at least one road and engaged in calls.
14. The method of claim 13, wherein said road type is adapted to discriminate among urban streets, extraurban roads, highways, number of lanes of the road, environment of the road.
15. A system adapted to provide forecast of road transit times on roads of a monitored roads network, the system being in use adapted to:
receiving a forecasted road transit time indication calculated by a road traffic monitoring system in respect of at least one road of the monitored roads network;
correcting the received forecasted road transit time indication based on information obtained from a cellular mobile communications network, wherein said information includes information related to mobile terminals connected to the cellular mobile communications network and engaged in calls, and located in the neighborhood of the at least one road.
16. The system of claim 15, wherein said information includes at least one among:
an indication of a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of the at least one road; and
an indication of a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of the at least one road and engaged in calls.
17. The system of claim 16, wherein said correcting comprises:
altering the received forecasted road transit time indication in a first way in case said indication of a number of calls, or said indication of a number of successive positions, exceeds a first predetermined threshold;
altering the received forecasted road transit time indication in a second way, contrary to the first way, in case said indication of a number of calls, or said indication of a number of successive positions, is below a second predetermined threshold lower than the first predetermined threshold;
leaving the received forecasted road transit time indication essentially unaltered in case said indication of a number of calls, or said indication of a number of successive positions, falls amidst said first and second predetermined thresholds.
18. The system of claim 17, wherein said forecasted road transit time indication includes a forecasted average road transit speed, and said altering in the first way comprises decreasing the forecasted average road transit speed, whereas said altering in the second way comprises increasing the forecasted average road transit speed.
19. The system of claim 18, wherein an amount of said decreasing is related to a comparison between said indication of a number of calls, or said indication of a number of successive positions, and the first predetermined threshold.
20. The system of claim 18, wherein an amount of said increasing is related to a comparison between said indication of a number of calls, or said indication of a number of successive positions, and the second predetermined threshold.
21. The system of claim 18, wherein said increasing has an upper limit, and wherein said upper limit is related to a maximum allowed road transit speed on the at least one road.
22. The system of claim 15, further adapted to:
assigning to said at least one road a transit sense; and
in said information related to mobile terminals connected to the cellular mobile communications network and engaged in calls, and located in the neighborhood of the at least one road, considering mobile terminals that are moving congruently to the transit sense assigned to the road.
23. The system of claim 15, wherein said mobile terminals located in the neighborhood of the at least one road include mobile terminals that are located within a predetermined distance from the road.
24. The system of claim 17, wherein said first and second predetermined thresholds are calculated based on historical data derived from the cellular mobile communications network, and wherein said historical data include:
either historical data related to a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of the considered at least one road, or historical data related to a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of the considered at least one road and engaged in calls,
or historical data related to a number of calls made by mobile terminals connected to the cellular mobile communications network and located in the neighborhood of a road of a same road type as the considered at least one road, or historical data related to a number of successive positions taken by the mobile terminals connected to the cellular mobile communications network, located in the neighborhood of a road of the same type as the considered at least one road and engaged in calls, wherein said road type is adapted to discriminate among urban streets, extraurban roads, highways, number of lanes of the road, environment of the road.
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 method for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, which comprises the following steps:
(i) amplifying the nucleic acid of the sample by real-time polymerase chain reaction (PCR) with suitable primers;
(ii) detecting fluorescence signals by means of probes labelled with a fluorescent label, following the amplification performed in step (i), and analysing the melting temperatures of the amplified nucleic acid sequences; and
(iii) comparing more than one signal detected in step (ii) with an experimentally-defined fluorescence pattern; said pattern having been established by means of an initial definition based on the theoretical comparison of the sequences of the probes in step (ii) with the sequences of the different locus B alleles, followed by a definitive definition based on experimentally determining which signals are actually positive for each melting temperature and which are actually negative for each melting temperature;
wherein steps (i), (ii) and (iii) are performed for each container in a battery of containers and the primers for said battery comprise the primers with sequences SEQ ID NO: 15-19.
2. A method according to claim 1, wherein the probes for the battery of containers comprise the probes with sequences SEQ ID NO: 36 and SEQ ID NO: 40-50.
3. A method according to claim 1, wherein the battery of containers additionally comprises one or more of the following second containers, each container comprising the specified primers:
container 1: primers with sequences SEQ ID NO: 1-3;
container 2: primers with sequences SEQ ID NO: 10-12;
container 3: primers with sequences SEQ ID NO: 13-14;
container 4: primers with sequences SEQ ID NO: 4-7;
container 5: primers with sequences SEQ ID NO: 22-23;
container 6: primers with sequences SEQ ID NO: 20-21.
4. A method according to claim 3, wherein each of said second containers additionally comprises the specified probes:
container 1: probes with sequences SEQ ID NO: 32-33, or
container 1: probes with sequences SEQ ID NO: 38-39;
container 2: probes with sequences SEQ ID NO: 40-41;
container 3: probes with sequences SEQ ID NO: 32-33;
container 4: probes with sequences SEQ ID NO: 34-35;
container 5: probes with sequences SEQ ID NO: 33 and SEQ ID NO: 51;
container 6: probes with sequences SEQ ID NO: 42-43.
5. A method according to claim 1, wherein the battery of containers additionally comprises one or more of the following third containers, each container comprising the specified primers:
container 7: primers with sequences SEQ ID NO: 8-9;
container 8: primers with sequences SEQ ID NO: 24-25;
container 9: primers with sequences SEQ ID NO: 26-27;
container 10: primers with sequences SEQ ID NO: 15 and SEQ ID NO: 27.
6. A method according to claim 5, wherein each of said third containers additionally comprises the specified probes:
container 7: probes with sequences SEQ ID NO: 36-37;
container 8: probes with sequences SEQ ID NO: 46-47;
container 9: probes with sequences SEQ ID NO: 36-37;
container 10: probes with sequences SEQ ID NO: 36 and SEQ ID NO: 50.
7. A method according to claim 1, wherein two primers for \u03b2-globin gene with SEQ ID NO: 28-29 are added as a control in step (i).
8. A method according to claim 7, wherein the probes with sequences SEQ ID NO: 52-53 are also added in order to detect the amplification of the \u03b2-globin gene.
9. A method according to claim 1, wherein two primers for SCYA4 gene with SEQ ID NO: 30-31 are added as a control in step (i).
10. A method according to claim 9, wherein the probes with sequences SEQ ID NO: 54-55 are also added in order to detect the amplification of the SCYA4 gene.
11. (canceled)
12. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern, the primers and the probes, as defined in claim 1.
13. A method according to claim 2, wherein the probes are fluorescently labelled with fluorochromes of the donor label-acceptor label type, which lead to the FRET energy transfer phenomenon.
14. A method according to claim 4, wherein the probes are fluorescently labelled with fluorochromes of the donor label-acceptor label type, which lead to the FRET energy transfer phenomenon.
15. A method according to claim 6, wherein the probes are fluorescently labelled with fluorochromes of the donor label-acceptor label type, which lead to the FRET energy transfer phenomenon.
16. A method according to claim 3, wherein the battery of containers additionally comprises one or more of the following third containers, each container comprising the specified primers:
container 7: primers with sequences SEQ ID NO: 8-9;
container 8: primers with sequences SEQ ID NO: 24-25;
container 9: primers with sequences SEQ ID NO: 26-27;
container 10: primers with sequences SEQ ID NO: 15 and SEQ ID NO: 27.
17. A method according to claim 16, wherein each of said third containers additionally comprises the specified probes:
container 7: probes with sequences SEQ ID NO: 36-37;
container 8: probes with sequences SEQ ID NO: 46-47;
container 9: probes with sequences SEQ ID NO: 36-37;
container 10: probes with sequences SEQ ID NO: 36 and SEQ ID NO: 50.
18. A method according to claim 17, wherein the probes are fluorescently labelled with fluorochromes of the donor label-acceptor label type, which lead to the FRET energy transfer phenomenon.
19. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern as defined in claim 1 and wherein the battery of containers additionally comprises one or more of the following second containers, each container comprising the specified primers:
container 1: primers with sequences SEQ ID NO: 1-3;
container 2: primers with sequences SEQ ID NO: 10-12;
container 3: primers with sequences SEQ ID NO: 13-14;
container 4: primers with sequences SEQ ID NO: 4-7;
container 5: primers with sequences SEQ ID NO: 22-23;
container 6: primers with sequences SEQ ID NO: 20-21.
20. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern as defined in claim 1 and wherein the battery of containers additionally comprises one or more of the following third containers, each container comprising the specified primers:
container 7: primers with sequences SEQ ID NO: 8-9;
container 8: primers with sequences SEQ ID NO: 24-25;
container 9: primers with sequences SEQ ID NO: 26-27;
container 10: primers with sequences SEQ ID NO: 15 and SEQ ID NO: 27.
21. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern as defined in claim 1 and wherein the probes for the battery of containers comprise the probes with sequences SEQ ID NO: 36 and SEQ ID NO: 40-50.
22. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern as defined in claim 1 and wherein the battery of containers additionally comprises one or more of the following second containers, each container comprising the specified primers:
container 1: probes with sequences SEQ ID NO: 32-33, or
container 1: probes with sequences SEQ ID NO: 38-39;
container 2: probes with sequences SEQ ID NO: 40-41;
container 3: probes with sequences SEQ ID NO: 32-33;
container 4: probes with sequences SEQ ID NO: 34-35;
container 5: probes with sequences SEQ ID NO: 33 and SEQ ID NO: 51;
container 6: probes with sequences SEQ ID NO: 42-43.
23. A kit for genotyping the alleles of the human leukocyte antigen B locus (HLA-B) from a nucleic acid sample, by the method defined in claim 1, which comprises the fluorescence pattern as defined in claim 1 and wherein the battery of containers additionally comprises one or more of the following third containers, each container comprising the specified primers:
container 7: probes with sequences SEQ ID NO: 36-37;
container 8: probes with sequences SEQ ID NO: 46-47;
container 9: probes with sequences SEQ ID NO: 36-37;
container 10: probes with sequences SEQ ID NO: 36 and SEQ ID NO: 50.

What is claimed is:

1. A turbine bucket having a bucket airfoil shape in an envelope within 0.160 inches in a direction normal to any airfoil surface location wherein the airfoil has an uncoated nominal profile substantially in accordance with Cartesian coordinate values of X, Y and Z set forth in inches in Table I wherein Z is a perpendicular distance from a plane normal to a radius of the turbine centerline and containing the X and Y values with the Z value commencing at zero in the X, Y plane at a radially innermost aerodynamic section of the airfoil and X and Y are coordinate values defining the airfoil profile at each distance Z, the profiles at the Z distances being joined smoothly with one another to form the complete airfoil shape.
2. A turbine bucket according to claim 1 forming part of a fourth stage of a turbine.
3. A turbine bucket having an uncoated nominal airfoil profile substantially in accordance with Cartesian coordinate values of X, Y and Z set forth in inches in Table I wherein Z is a perpendicular distance from a plane normal to a radius of the turbine centerline and containing the X and Y values with the Z value commencing at zero in the X, Y plane at a radially innermost aerodynamic section of the airfoil and X and Y are coordinate values defining the airfoil profile at each distance Z, the profiles at the Z distances being joined smoothly with one another to form the complete airfoil bucket profile; the X, Y and Z values being scaled as a function of the same constant or number to provide a scaled-up or scaled-down bucket airfoil.
4. A turbine bucket according to claim 3 forming part of a fourth stage of a turbine.
5. A turbine comprising a turbine wheel having a plurality of buckets, each of said buckets having an airfoil shape in an envelope within 0.160 inches in a direction normal to any bucket airfoil surface location wherein the airfoil has an uncoated nominal profile substantially in accordance with Cartesian coordinate values of X, Y and Z set forth in inches in Table I wherein Z is a perpendicular distance from a plane normal to a radius of the turbine centerline and containing the X and Y values with the Z value commencing at zero in the X, Y plane at a radially innermost aerodynamic section of the airfoil and X and Y are coordinate values defining the airfoil profile at each distance Z, the profiles at the Z distances being joined smoothly with one another to form the complete airfoil shape.
6. A turbine according to claim 5 wherein the turbine wheel comprises the fourth stage of the turbine.
7. A turbine according to claim 5 wherein the turbine wheel has eighty-eight buckets and the Y direction represents a distance parallel to a rotary axis of the turbine wheel.
8. A turbine comprising a turbine wheel having a plurality of buckets, each of said buckets having an uncoated nominal airfoil profile substantially in accordance with Cartesian coordinate values of X, Y and Z set forth in inches in Table I wherein Z is a perpendicular distance from a plane normal to a radius of the turbine centerline and containing the X and Y values with the Z value commencing at zero in an X, Y plane at the radially innermost aerodynamic section of the airfoil and X and Y are coordinate values defining the airfoil profile at each distance Z, the profiles at the Z distances being joined smoothly with one another to form the complete airfoil shape;
the X, Y and Z values being scaled as a function of the same constant or number to provide a scaled-up or scaled-down bucket airfoil.
9. A turbine according to claim 8 wherein the turbine wheel comprises the fourth stage of the turbine.
10. A turbine according to claim 8 wherein the turbine wheel has eighty-eight buckets and the Y direction represents a distance parallel to a rotary axis of the turbine wheel.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

What is claimed is:

1. An optical spectrum monitoring system, comprising:
a tunable filter that filters an optical signal;
a signal detector that detects a filtered optical signal from the tunable filter;
a logarithmic amplifier that amplifies the output of the signal detector;
an analog to digital converter for converting the output of the logarithmic amplifier spectrum into sample data; and
a data processing subsystem that analyzes the sample data.
2. An optical spectrum monitoring system as claimed in claim 1, further comprising:
a package;
an optical bench installed within the package, the tunable filter and the detector being connected to optical bench;
a temperature detector for detecting a temperature within the package; and
a thermoelectric cooler for controlling a temperature of the package.
3. An optical spectrum monitoring system as claimed in claim 2, wherein the log amplifier is installed within the package.
4. An optical spectrum monitoring system as claimed in claim 2, wherein the logarithmic amplifier is installed on the optical bench.
5. An optical spectrum monitoring system as claimed in claim 1, wherein the tunable filter is a microelectromechanical tunable filter.
6. An optical spectrum monitoring system as claimed in claim 1, wherein the tunable filter has a Lorentzian pass band and the data processing subsystem deconvolves the Lorentzian pass band from the sample data.
7. An optical spectrum monitoring system as claimed in claim 1, wherein the data processing subsystem detects peaks in the spectrum using the sample data and uploads peak information to a host computer before performing processing to determine the shape of the peaks andor noise information for the optical signal.
8. An optical spectrum monitoring system as claimed in claim 1, wherein the data processing subsystem detect spectral locations of the peaks in a spectrum.
9. An optical spectrum monitoring system as claimed in claim 1, wherein the data processing subsystem uploads the sample data to a host computer before uploading peak information to the host computer.
10. An optical spectrum monitoring system as claimed in claim 1, wherein the data processing subsystem begins detecting the peaks before completion of the conversion of the spectrum into the sample data.
11. A method for capturing spectrum information in an optical spectrum monitoring system, the method comprising:
filtering an optical signal;
detecting a filtered optical signal;
logarithmically amplifying the detected signal;
an analog to digitally converting the logarithmically amplified signal to generate sample data.
12. A method as claimed in claim 11, further comprising calibrating the sample data in response to calibration information.
13. A method as claimed in claim 11, further comprising uploading the sample data to the host computer before uploading peak information to the host computer.
14. A method as claimed in claim 11, further comprising beginning the step of detecting the spectral locations of peaks before completion of the step of converting the logarithmically amplified signal into the sample data.