Author: claimsbot

1. A polypropylene resin pre-expanded particle comprising as a base resin a polypropylene resin composition containing:
(A) a polypropylene resin and
(B) a compound having a triazine skeleton and molecular weight of at most 300 per triazine skeleton unit.
2. The polypropylene resin pre-expanded particle of claim 1, which further comprises hydrophilic polymer (C).
3. The polypropylene resin pre-expanded particle of claim 1 or 2, wherein said compound (B) having a triazine skeleton and molecular weight of at most 300 per triazine skeleton unit is contained in an amount of 0.05 to 6 parts by weight based on 100 parts by weight of said polypropylene resin (A).
4. The polypropylene resin pre-expanded particle of claim 2, wherein said hydrophilic polymer (C) is contained in an amount of 0.01 to 20 parts by weight based on 100 parts by weight of said polypropylene resin (A).
5. The polypropylene resin pre-expanded particle of claim 1 or 2, which further comprises inorganic filler (D).
6. The polypropylene resin pre-expanded particle of claim 5, wherein said inorganic filler (D) is contained in an amount of 0.005 to 10 parts by weight based on 100 parts by weight of said polypropylene resin (A).
7. The polypropylene resin pre-expanded particle of claim 1 or 2, wherein said polypropylene resin (A) is at least one member selected from the group consisting of ethylene-propylene random copolymer, propylene-butene-1 random copolymer and ethylene-propylene-butene-1 random copolymer.
8. The polypropylene resin pre-expanded particle of claim 1 or 2, wherein said compound (B) having a triazine skeleton and molecular weight of at most 300 per triazine skeleton unit is at least one member selected from the group consisting of melamine, isocyanuric acid and melamine isocyanurate.
9. The polypropylene resin pre-expanded particle of claim 2, wherein said hydrophilic polymer (C) is an ethylene ionomer resin obtained by crosslinking an ethylene-(meth)acrylic acid copolymer with an alkali metal ion.
10. The polypropylene resin pre-expanded particle of claim 1 or 2, which has two melting peaks in the DSC curve obtained by differential scanning calorimetry.
11. An in-mold expanded article comprising the polypropylene resin pre-expanded particle of claim 1 or 2.

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 semiconductor failure analysis apparatus for performing a failure analysis by means of a thermal image of a semiconductor device, comprising:
voltage applying means applying a bias voltage to a semiconductor device to serve as an analysis object;
imaging means acquiring an image of the semiconductor device; and
image processing means performing image processing necessary for a failure analysis of the semiconductor device for an image acquired by the imaging means, wherein
the imaging means acquires a plurality of analysis images each including a thermal image in a state where the bias voltage is applied to the semiconductor device and a plurality of background images in a state where the bias voltage is not applied thereto, and
the image processing means includes:
imaging position calculating means calculating, for each of the plurality of analysis images and the plurality of background images, an imaging position thereof;
image classifying means preparing, for the imaging position of each of the plurality of analysis images and the plurality of background images, a region division unit set with reference to a position frequency distribution of the imaging positions, and classifying the plurality of analysis images and the plurality of background images into N image groups (N is an integer not less than 2) according to which of the N regions divided in accordance with the region division unit the imaging position belongs to; and
difference image generating means generating a difference image between the analysis image and the background image to be used for a failure analysis, individually for the classified N image groups.
2. The semiconductor failure analysis apparatus according to claim 1, wherein the image classifying means obtains the position frequency distribution of the imaging positions of each set of the plurality of analysis images and the plurality of background images, and sets the region division unit based on an average position \u03bc1 and a distribution width w1 in the position frequency distribution of the plurality of analysis images and an average position \u03bc2 and a distribution width w2 in the position frequency distribution of the plurality of background images.
3. The semiconductor failure analysis apparatus according to claim 2, wherein the image classifying means sets an adjustment factor \u03b1 to adjust the region division unit, determines a region unit \u03bc1\xb1\u03b1\xd7w1 for the plurality of analysis images and a region unit \u03bc2\xb1\u03b1\xd7w2 for the plurality of background images, and sets a common range of the region units as the region division unit.
4. The semiconductor failure analysis apparatus according to claim 3, wherein the image classifying means sets the adjustment factor \u03b1 based on a factor value input by an operator.
5. The semiconductor failure analysis apparatus according to claim 3, wherein the image classifying means determines each of the distribution width w1 in the position frequency distribution of the plurality of analysis images and the distribution width w2 in the position frequency distribution of the plurality of background images by a standard deviation \u03c3, and sets the adjustment factor \u03b1 within a range satisfying a condition of 1\u2266\u03b1\u22662.
6. The semiconductor failure analysis apparatus according to claim 1, wherein the difference image generating means performs, for the N difference images obtained respectively for the N image groups, weighting based on the numbers of images belonging to the respective image groups to thereby generate a difference image to be used for a failure analysis.
7. The semiconductor failure analysis apparatus according to claim 1, wherein the difference image generating means selects, from the N difference images obtained respectively for the N image groups, based on the numbers of images belonging to the respective image groups, a difference image to be used for a failure analysis.
8. The semiconductor failure analysis apparatus according to claim 1, wherein the difference image generating means is configured to be switchable between a first analysis mode of performing, for the N difference images obtained respectively for the N image groups, weighting based on the numbers of images belonging to the respective image groups to thereby generate a difference image to be used for a failure analysis, and a second analysis mode of selecting, based on the numbers of images belonging to the respective image groups, a difference image to be used for a failure analysis.
9. A semiconductor failure analysis method for performing a failure analysis by means of a thermal image of a semiconductor device, comprising:
a voltage applying step of applying a bias voltage to a semiconductor device to serve as an analysis object;
an imaging step of acquiring an image of the semiconductor device; and
an image processing step of performing image processing necessary for a failure analysis of the semiconductor device for an image acquired by the imaging step, wherein
the imaging step acquires a plurality of analysis images each including a thermal image in a state where the bias voltage is applied to the semiconductor device and a plurality of background images in a state where the bias voltage is not applied thereto, and
the image processing step includes:
an imaging position calculating step of calculating, for each of the plurality of analysis images and the plurality of background images, an imaging position thereof;
an image classifying step of preparing, for the imaging position of each of the plurality of analysis images and the plurality of background images, a region division unit set with reference to a position frequency distribution of the imaging positions, and classifying the plurality of analysis images and the plurality of background images into N image groups (N is an integer not less than 2) according to which of the N regions divided in accordance with the region division unit the imaging position belongs to; and
a difference image generating step of generating a difference image between the analysis image and the background image to be used for a failure analysis, individually for the classified N image groups.
10. The semiconductor failure analysis method according to claim 9, wherein the image classifying step obtains the position frequency distribution of the imaging positions of each set of the plurality of analysis images and the plurality of background images, and sets the region division unit based on an average position \u03bc1 and a distribution width w1 in the position frequency distribution of the plurality of analysis images and an average position \u03bc2 and a distribution width w2 in the position frequency distribution of the plurality of background images.
11. The semiconductor failure analysis method according to claim 10, wherein the image classifying step sets an adjustment factor \u03b1 to adjust the region division unit, determines a region unit \u03bc1\xb1\u03b1\xd7w1 for the plurality of analysis images and a region unit \u03bc2\xb1\u03b1\xd7w2 for the plurality of background images, and sets a common range of the region units as the region division unit.
12. The semiconductor failure analysis method according to claim 11, wherein the image classifying step sets the adjustment factor \u03b1 based on a factor value input by an operator.
13. The semiconductor failure analysis method according to claim 11, wherein the image classifying step determines each of the distribution width w1 in the position frequency distribution of the plurality of analysis images and the distribution width w2 in the position frequency distribution of the plurality of background images by a standard deviation \u03c3, and sets the adjustment factor \u03b1 within a range satisfying a condition of 1\u2266\u03b1\u22662.
14. The semiconductor failure analysis method according to claim 9, wherein the difference image generating step performs, for the N difference images obtained respectively for the N image groups, weighting based on the numbers of images belonging to the respective image groups to thereby generate a difference image to be used for a failure analysis.
15. The semiconductor failure analysis method according to claim 9, wherein the difference image generating step selects, from the N difference images obtained respectively for the N image groups, based on the numbers of images belonging to the respective image groups, a difference image to be used for a failure analysis.
16. The semiconductor failure analysis method according to claim 9, wherein the difference image generating step is configured to be switchable between a first analysis mode of performing, for the N difference images obtained respectively for the N image groups, weighting based on the numbers of images belonging to the respective image groups to thereby generate a difference image to be used for a failure analysis, and a second analysis mode of selecting, based on the numbers of images belonging to the respective image groups, a difference image to be used for a failure analysis.

1. A method for operating a gas turbine engine including a combustor assembly, said method comprising:
channeling a first fluid through a plurality of first nozzles into the combustor assembly;
igniting the first fluid within the combustor assembly downstream from the plurality of first nozzles;
increasing the operating speed of the gas turbine engine and attaining a first predetermined percentage of a baseload by channeling the first fluid only through the plurality of first nozzles;
channeling a second fluid through a second nozzle into the combustor assembly when the gas turbine engine attains the first predetermined percentage of the baseload;
igniting the second fluid within the combustor assembly downstream from the second nozzle;
channeling the second fluid to the plurality of first nozzles when the gas turbine engine attains a second predetermined percentage of the baseload, wherein the second predetermined percentage of the baseload is greater than the first predetermined percentage of the baseload;
terminating a flow of the first fluid through the plurality of first nozzles; and
channeling the second fluid to a plurality of third nozzles when the gas turbine engine attains a third predetermined percentage of the baseload, wherein each of the plurality of third nozzles extends radially inward from a combustor assembly casing.
2. A method in accordance with claim 1 wherein channeling a first fluid through a plurality of first nozzles into the combustor assembly comprises channeling at least one of a liquid fuel, a gaseous fuel, and a solid fuel through the plurality of first nozzles.
3. A method in accordance with claim 1 wherein channeling a second fluid through a second nozzle into the combustor assembly occurs when the gas turbine engine is operating at substantially 30% of a the baseload or greater than substantially 30% of the baseload.
4. A method in accordance with claim 1 wherein channeling a second fluid through a second nozzle into the combustor assembly comprises channeling at least one of a liquid fuel, a gaseous fuel, and a solid fuel that has been mixed with air through the second nozzle.
5. A method in accordance with claim 1 wherein terminating a flow of the first fluid through the plurality of first nozzles comprises decreasing the amount of the first fluid supplied through the plurality of first nozzles as the load of the gas turbine engine increases between a second predetermined percentage of the baseload and a third predetermined percentage of the baseload.
6. A method in accordance with claim 5 wherein terminating the flow of first fluid to the plurality of first nozzles further comprises terminating the flow of first fluid to the plurality of first nozzles when the gas turbine engine attains the third predetermined percentage of the baseload, the third predetermined percentage of the baseload being greater than the second predetermined percentage of the baseload.
7. A method of assembling a combustor for use with a gas turbine, said method comprising:
providing a combustor casing that defines a casing centerline extending longitudinally therethrough;
forming a plurality of nozzle bodies, each defining a nozzle body centerline extending longitudinally therethrough and substantially parallel to the casing centerline, said forming the plurality of nozzle bodies comprising:
defining a plurality of first vane passageways therein and extending therethrough;
defining a first passageway therein and extending therethrough along the nozzle body centerline; and
defining a second passageway therein and extending therethrough, wherein the second passageway substantially circumscribes at least a portion of the first passageway;

extending the plurality of nozzle bodies longitudinally through the combustor casing substantially parallel to the casing centerline;
forming a plurality of nozzle tips, wherein each nozzle tip defines a downstream face and a center and forms an outer surface, with a radius defined between the center and outer surface, said forming the plurality of nozzle tips comprising:
defining a plurality of outlet passageways therein and extending therethrough;
defining a first outlet passageway extending through the downstream face, the first outlet passageway in flow communication with the first passageway; and
defining a plurality of second outlet passageways extending through the downstream face, wherein each of the second outlet passageways defines an opening and is in flow communication with the second passageway, wherein each opening defines respective X-, Y-, and Z-axes with respect to a tangent line, the radius, and the nozzle body centerline, each of the outlet passageways is oriented at a discharge angle value between approximately 30\xb0 and approximately 45\xb0 measured with respect to the respective Z-axis in a respective X-Z plane;

coupling each of the nozzle tips to each of the nozzle bodies such that each nozzle tip is coupled in flow communication with a downstream end of the first passageway and to the second passageway;
coupling the plurality of outlet passageways to a first fuel source; and
coupling the plurality of first vane passageways to a second fuel source.
8. A method in accordance with claim 7 further comprising defining a third passageway extending through nozzle body such that the third passageway substantially circumscribes at least a portion of the first passageway and the second passageway.
9. A method in accordance with claim 8 further comprising forming a plurality of vanes extending radially outward from the nozzle body comprising:
coupling at least one vane passageway in flow communication with the third passageway; and
defining a plurality of apertures extending from each vane passageway through a respective vane.
10. A method in accordance with claim 7 wherein defining each second outlet passageway opening comprises sizing a diameter larger than approximately 0.110 inches.
11. A method in accordance with claim 10 wherein defining each second outlet passageway opening comprises sizing a diameter approximately equal to 0.126 inches.
12. A method in accordance with claim 7 wherein coupling the plurality of outlet passageways to a first fuel source and coupling the plurality of first vane passageways to a second fuel source comprises coupling the plurality of outlet passageways and the plurality of first vane passageways to at least one of a liquid fuel source, a gaseous fuel source, and a solid fuel source.
13. A method for operating a gas turbine engine including a combustor assembly, said method comprising:
channeling a first fluid through a plurality of first nozzles into the combustor assembly, wherein channeling a first fluid through a plurality of first nozzles into the combustor assembly comprises discharging the first fluid from the plurality of first nozzles at a discharge angle of between approximately 30\xb0 and approximately 45\xb0 measured with respect to a Z-axis in an X-Z plane, wherein the X-, Y-, and Z-axes are defined with respect to a tangent line, a radius, and a centerline of each of the plurality of first nozzles;
igniting the first fluid within the combustor assembly downstream from the plurality of first nozzles;
increasing the operating speed of the gas turbine engine and attaining a first predetermined percentage of a baseload by channeling the first fluid only through the plurality of first nozzles;
channeling a second fluid through a second nozzle into the combustor assembly when the gas turbine engine attains the first predetermined percentage of the baseload;
igniting the second fluid within the combustor assembly downstream from the second nozzle;
channeling the second fluid to the plurality of first nozzles when the gas turbine engine attains a second predetermined percentage of the baseload, wherein the second predetermined percentage of the baseload is greater than the first predetermined percentage of the baseload; and
terminating a flow of the first fluid through the plurality of first nozzles.

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 security system worn by an individual for monitoring an adjacent area, comprising:
a transparent display;
a camera to capture an image;
an audio device to input audio information associated with the image, wherein the audio information includes a priority associated with an individual in the image;
a mobile device in communication with the camera and the audio device and the transparent display, wherein the transparent display is configured to display images captured via other mobile devices and information associated with the images captured via the other mobile devices, wherein at least some of the information is retrieved from an external database based on an analysis of individuals in the images using facial recognition software and a comparison of the individuals in the images to images stored in the external database, and wherein the mobile device is configured to:
read, via a radio frequency identification (RFID) tag reader, an RFID tag associated with a tangible item,
determine information associated with the RFID tag, wherein the information comprises at least one of an owner and a purchaser of the tangible item,
output the information associated with the RFID tag to at least one of the audio device and the transparent display,
identify an item of interest to a user of the mobile device via the transparent display based on the information associated with the RFID tag, and
identify another, different item of interest based on comments input via the audio device; and

a location engine associated with the mobile device, wherein the location engine is configured to determine a location of the mobile device.
2. The security system of claim 1, wherein the audio device is further configured to output information associated with images captured via other mobile devices.
3. The security system of claim 1, wherein the transparent display comprises a user wearable lens and a projector to project images on the lens.
4. The security system of claim 1, wherein the mobile device is further configured to promote speech recognition to convert information to text.
5. The security system of claim 1, wherein the location engine determines the location of the mobile device using at least one of a radio frequency identification technology, a global positioning system technology, a forward link triangulation technology, or a motion detector technology.
6. The security system of claim 1, wherein the mobile device further comprises a gestures engine, wherein the gestures engine executes a gesture recognition application, and wherein the gesture recognition application recognizes images of gestures captured by the camera.
7. The security system of claim 1, further comprising a motion detector associated with the mobile device, wherein the motion detector is configured to input location information associated with the image.
8. The security system of claim 1, further comprising at least one of a pointer or a keyboard to input information associated with the image.
9. The security system of claim 1, further comprising a digital compass to determine an orientation of the mobile device.
10. The security system of claim 1, further comprising a server in communication with the mobile device, wherein the server is configured to access a database of information associated with images.
11. The security system of claim 1, wherein the mobile device is configured to display images in response to at least one of a request input by a user of the mobile device or a geographic location of one or more of the other mobile devices.
12. The security system of claim 1, wherein the information further comprises at least one of information input by a user of the mobile device or a location of an item shown in the image.
13. The security system of claim 1, wherein the mobile device is further configured to receive additional information associated with the RFID tag, and wherein the additional information is input via at least one of the audio device, a pointer, or a camera associated with the mobile device.
14. The security system of claim 1, wherein the mobile device is further configured to output the information associated with the RFID tag to at least one of an audio device or a transparent display associated with another mobile device.
15. The security system of claim 1, wherein the mobile device is further configured to partition a view into sections, the audio device is configured to receive a verbal selection of at least one of the sections by the user of the mobile device, and the camera is configured to capture an image of the at least one of the sections in response to the verbal selection by the user, wherein the mobile device is further configured to associate information with the image of the at least one of the sections.
16. The security system of claim 15, wherein at least some of the information associated with the image of the at least one of the sections is retrieved from an external database based on an analysis of an individual in the image using facial recognition software and a comparison of the individual in the image to images stored in the external database.
17. The security system of claim 16, wherein at least some of the information associated with the image of the at least one of the sections is audio information input via the audio device that includes a priority associated with the individual in the image.
18. The security system of claim 17, wherein the mobile device is further configured to output the information associated with the image of the at least one of the sections and the image of the at least one of the sections to at least one of a transparent display or an audio device associated with another mobile device.