Author: claimsbot

What is claimed is:

1. An organism characteristic data acquiring apparatus, comprising:
a sampling section for sampling a partial image of a portion of an organism;
a detection section for detecting, every time a partial image is sampled by said sampling section, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, characteristic portion data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the characteristic portion data of the partial image extracted by said extraction section and characteristic portion data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
2. The organism characteristic data acquiring apparatus as claimed in claim 1, wherein said sampling section samples a partial image of a pattern formed from ridge of the portion of the organism.
3. The organism characteristic data acquiring apparatus as claimed in claim 2, wherein said extraction section extracts, as the characteristic portion data, information regarding a characteristic point of the ridge.
4. The organism characteristic data acquiring apparatus as claimed in claim 3, wherein said extraction section extracts, as the information regarding a characteristic point of the ridge, at least one of a position, a type and a direction of the characteristic point.
5. The organism characteristic data acquiring apparatus as claimed in claim 3, wherein said extraction section extracts, as the characteristic portion data, a position of a sweat gland which exists on the ridge.
6. The organism characteristic data acquiring apparatus as claimed in claim 3, wherein said extraction section extracts, as the characteristic portion data, a number of sweat glands which exist between the characteristic points on the ridge.
7. The organism characteristic data acquiring apparatus as claimed in claim 3, wherein said extraction section extracts, as the characteristic portion data, a position of a ridge end which is at an end of the partial image.
8. The organism characteristic data acquiring apparatus as claimed in claim 7, wherein said extraction section extracts, as the characteristic portion data, information of a connectional relationship between the characteristic point and the ridge end.
9. An organism characteristic data acquiring apparatus, comprising:
a sampling section for sampling a partial image of a pattern formed from a ridge on a portion of an organism;
a detection section for detecting, every time a partial image is sampled by said sampling section, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, ridge structure data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the ridge structure data of the partial image extracted by said extraction section and ridge structure data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
10. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said extraction section extracts, as the ridge structure data, a skeleton line image obtained by thinning the image of the ridge.
11. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said extraction section extracts, as the ridge structure data, a binary image obtained by binarizing the image of the ridge.
12. The organism characteristic data acquiring apparatus as claimed in claim 2, wherein said detection section detects, as the relative positional relationship, a positional relationship of superposition between the partial image and the other partial image such that ridges same as each other in the partial image and the other partial image are smoothly connected to each other.
13. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said detection section detects, as the relative positional relationship, a positional relationship of superposition between the partial image and the other partial image such that ridges same as each other in the partial image and the other partial image are smoothly connected to each other.
14. The organism characteristic data acquiring apparatus as claimed in claim 2, wherein said detection section detects, as the relative positional relationship, a corresponding relationship of the ridges same as each other in the partial image and the other partial image.
15. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said detection section detects, as the relative positional relationship, a corresponding relationship of the ridges same as each other in the partial image and the other partial image.
16. The organism characteristic data acquiring apparatus as claimed in claim 1, wherein said sampling section samples the partial image by replacing the organism portion on a sampling face by a plural number of times for sampling a partial image, and wherein
characteristic portion data regarding a partial image, having an area which has a side shared by or overlaps with at least one of the other partial images, from among a plurality of partial images sampled by said sampling section is used as an object of the synthesizing process by said synthesis section.
17. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said sampling section samples the partial image by replacing the organism portion on a sampling face by a plural number of times for sampling a partial image, and wherein
characteristic portion data regarding a partial image, having an area which has a side shared by or overlaps with at least one of the other partial images, from among a plurality of partial images sampled by said sampling section is used as an object of the synthesizing process by said synthesis section.
18. The organism characteristic data acquiring apparatus as claimed in claim 1, wherein said sampling section samples the partial image while the organism portion is relatively moved with respect to a sampling face for sampling a partial image, and wherein
characteristic portion data regarding a partial image, having an area which has a side shared by or overlaps with at least one of the other partial images, from among a plurality of partial images sampled by said sampling section is used as an object of the synthesizing process by said synthesis section.
19. The organism characteristic data acquiring apparatus as claimed in claim 9, wherein said sampling section samples the partial image while the organism portion is relatively moved with respect to a sampling face for sampling a partial image, and wherein
characteristic portion data regarding a partial image, having an area which has a side shared by or overlaps with at least one of the other partial images, from among a plurality of partial images sampled by said sampling section is used as an object of the synthesizing process by said synthesis section.
20. An authentication apparatus, comprising:
a sampling section for sampling a partial image of a portion of an organism of an object person of authentication;
a detection section for detecting, every time a partial image is sampled by said sampling section, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, characteristic portion data including characteristic information unique to the organism portion from the partial image;
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the characteristic portion data of the partial image extracted by said extraction section and characteristic portion data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism; and
a collation section for executing a collation process using the organism characteristic data from said synthesis section in order to perform personal identification of the object person of authentication.
21. An authentication apparatus, comprising:
a sampling section for sampling a partial image of a pattern formed from a ridge on a portion of an organism of an object person of authentication;
a detection section for detecting, every time a partial image is sampled by said sampling section, a relative positional relationship between the partial image and one of other partial images sampled already;
a ridge structure data extraction section for extracting, every time a partial image is sampled by said sampling section, ridge structure data including characteristic information unique to the organism portion from the partial image;
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the ridge structure data of the partial image extracted by said ridge structure data extraction section and ridge structure data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis;
a characteristic data extraction section for extracting characteristic data unique to the organism portion from the result of the synthesis outputted from said synthesis section; and
a collation section for executing a collation process using the characteristic data extracted by said characteristic data extraction section in order to perform personal identification of the object person of authentication.
22. An organism characteristic data acquiring method, comprising:
a sampling step of sampling a partial image of a portion of an organism;
a detection step of detecting, every time a partial image is sampled at the sampling step, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction step of extracting, every time a partial image is sampled at the sampling step, characteristic portion data including characteristic information unique to the organism portion from the partial image; and
a synthesis step of synthesizing, every time a partial image is sampled at the sampling step, the characteristic portion data of the partial image extracted at the extraction step and characteristic portion data of the other partial image based on the relative positional relationship of the partial image detected at the detection step and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
23. An organism characteristic data acquiring method, comprising:
a sampling step of sampling a partial image of a pattern formed from a ridge on a portion of an organism;
a detection step of detecting, every time a partial image is sampled at the sampling step, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction step of extracting, every time a partial image is sampled at the sampling step, ridge structure data including characteristic information unique to the organism portion from the partial image; and
a synthesis step of synthesizing, every time a partial image is sampled at the sampling step, the ridge structure data of the partial image extracted at the extraction step and ridge structure data of the other partial image based on the relative positional relationship of the partial image detected at the detection step and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
24. An organism characteristic data acquiring program which causes a computer to function as:
a detection section for detecting, every time a partial image is sampled by a sampling section for sampling a partial image of a portion of an organism, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, characteristic portion data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the characteristic portion data of the partial image extracted by said extraction section and characteristic portion data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
25. An organism characteristic data acquiring program which causes a computer to function as:
a detection section for detecting, every time a partial image is sampled by a sampling section for sampling a partial image of a pattern formed from a ridge on a portion of an organism, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, ridge structure data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the ridge structure data of the partial image extracted by said extraction section and ridge structure data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
26. A computer-readable recording medium on which an organism characteristic data acquiring program is recorded, said program causing a computer to function as:
a detection section for detecting, every time a partial image is sampled by a sampling section for sampling a partial image of a portion of an organism, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, characteristic portion data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the characteristic portion data of the partial image extracted by said extraction section and characteristic portion data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.
27. A computer-readable recording medium on which an organism characteristic data acquiring program is recorded, said program causing a computer to function as:
a detection section for detecting, every time a partial image is sampled by a sampling section for sampling a partial image of a pattern formed from a ridge on a portion of an organism, a relative positional relationship between the partial image and one of other partial images sampled already;
an extraction section for extracting, every time a partial image is sampled by said sampling section, ridge structure data including characteristic information unique to the organism portion from the partial image; and
a synthesis section for synthesizing, every time a partial image is sampled by said sampling section, the ridge structure data of the partial image extracted by said extraction section and ridge structure data of the other partial image based on the relative positional relationship of the partial image detected by said detection section and outputting a result of the synthesis as organism characteristic data of the portion of the organism.

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. A flexible window-based auditing method which is used in the internal and external of enterprises for managing the auditing process, comprising:
defining the types of an auditing events;
the auditing event occurring;
generating items of the auditing event;
configuring the items of the auditing event;
executing the items of the auditing event; and
deleting the items of the auditing event.
2. The method of claim 1, wherein the steps of defining the types of the auditing events comprises:
selecting the type of the auditing event to be defined;
defining the content of the main window;
defining the content of the sub window; and
finishing the definition.
3. The method of claim 2, wherein defining the content of the main window is to define the relationship between the main and sub windows, and configure the persons in charge of the main window.
4. The method of claim 2, wherein defining the content of the sub windows is to configure at least one person in charge of the sub windows.
5. The method of claim 1, wherein executing the items of the auditing event comprise:
sending notifications to the specified members of the items of the auditing event;
storing the messages according to the configuration of the hints of the items of the auditing event;
the member logging on the system;
displaying the messages of hints;
the members processing the auditing; and
finishing all processes and terminating.
6. The method of claim 5, wherein the notifications are sent to the members by E-mail.
7. The method of claim 5, wherein the content of the hints comprises the hints of registration and the functional items.

What is claimed is:

1. A stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the stand-off device comprising:
a sleeve adapted to fit around a tubular, the sleeve having an outer surface; and
blades extending along the outer surface of the sleeve, wherein each blade has a bearing surface, and wherein each bearing surface is curved longitudinally.
2. The stand-off device of claim 1, wherein the stand-off device is made of a suitable material, and wherein the suitable material comprises metal.
3. The stand-off device of claim 1, wherein the stand-off device is made of a suitable material, and wherein the suitable material comprises rubber.
4. The spherical stand-off device of claim 1, wherein the stand-off device is made of a suitable material, and wherein the suitable material comprises phenolic.
5. The spherical stand-off device of claim 1, wherein the stand-off device is made of a suitable material, and wherein the suitable material comprises plastic.
6. The stand-off device of claim 1, wherein the stand-off device is made of a suitable material, and wherein the suitable material comprises a polyurethane.
7. The stand-off device of claim 1, wherein the blades comprise a spiral configuration.
8. The stand-off device of claim 1, wherein the blades comprise a slanted configuration.
9. The stand-off device of claim 1, wherein the stand-off device is formed by injection mold.
10. The stand-off device of claim 2, further comprising a coating over the bearing surface.
11. The stand-off device of claim 2, wherein the metal comprises aluminum.
12. The stand-off device of claim 2, wherein the metal comprises steel.
13. The stand-off device of claim 10, wherein the coating comprises nylon.
14. The stand-off device of claim 10, wherein the coating comprises ceramic.
15. The stand-off device of claim 10, wherein the metal comprises aluminum.
16. The stand-off device of claim 10, wherein the metal comprises steel.
17. The stand-off device of claim 10, wherein the metal comprises aluminum.
18. A stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the device comprising:
a sleeve adapted to fit around tubulars, the sleeve comprising an outer surface; and
blades extending along the outer surface of the sleeve, each blade comprising a bearing surface, wherein substantially all of the bearing surface of each blade comprises curvature greater than zero.
19. A stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the device comprising:
a sleeve adapted to fit around tubulars, the sleeve comprising an outer surface; and
blades extending along the outer surface of the sleeve, the blades comprising a bearing surface, wherein the bearing surface of the blades comprises substantially spherical curvature.
20. A method for making a stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the method comprising:
providing a sleeve adapted to fit around a tubular, the sleeve comprising an outer surface; and
providing blades extending along the outer surface of the sleeve, wherein each blade comprises a bearing surface, and wherein each bearing surface is curved longitudinally.
21. A method for making a metal stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the method comprising:
providing a sleeve adapted to fit around a tubular, the sleeve comprising an outer surface;
providing blades extending along the outer surface of the sleeve, wherein each blade comprises a bearing surface, and wherein each bearing surface is curved longitudinally;
exposing the outer surface of the sleeve and the bearing surface of the blades to nylon powder; and
melting the nylon powder, whereby the melted nylon adheres to the metal outer surfaces of the stand-off device to provide a protective coating to the stand-off device.
22. A method for making a metal stand-off device to prevent a tubular from contacting the side of a well bore or the side of an outer tubular, the method comprising:
providing a sleeve adapted to fit around a tubular, the sleeve comprising an outer surface;
providing blades extending along the outer surface of the sleeve, wherein each blade comprises a bearing surface, and wherein each bearing surface is curved longitudinally;
applying an initially fluid mixture of ceramic particles and epoxy to the outer surface of the sleeve and the bearing surface of the blades; and
curing the mixture to form a solid, whereby the solid adheres to the metal outer surfaces of the stand-off device to provide a protective coating to the stand-off device.

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 dedicated back channel communications for communicating error samples in a Digital Subscriber Line (DSL) system comprising: measuring errors in downstream data communicated on the DSL; forming error samples corresponding to the measured errors; reserving a plurality of bins from among a total number of bins available for upstream communication over the DSL for the dedicated back channel communications; encoding the error samples onto the plurality of bins; and simultaneously transmitting upstream the error samples using the plurality of reserved bins over the DSL and transmitting encoded user data using bins not reserved for the dedicated back channel communications from a customer premises equipment (CPE), wherein the error samples enable Far-End Crosstalk (FEXT) pre-coder coefficients to be derived.
2. The method of claim 1, wherein the error samples are measured in a downstream sync symbol and the error samples are transmitted over an upstream back channel message block corresponding to the downstream sync symbol.
3. The method of claim 1, wherein the reserving the plurality of bins comprises allocating a number of bits per bin for each bin in the plurality of bins wherein the allocating uses an additional signal to noise ratio (SNR) margin over a margin used in bins not reserved for the dedicated back channel communications.
4. The method of claim 3, wherein the additional SNR margin is 6 dB or 12 dB.
5. The method of claim 1, wherein the reserving the plurality of bins comprises allocating a number of bits per bin for each bin in the plurality of bins wherein the allocating uses a bit loading profile and allocates bits based on the number of bits specified for a bin in the bit loading profile.
6. The method of claim 1, wherein each bin has a SNR and the reserving the plurality of bins comprises selecting the bins with the highest SNR.
7. The method of claim 1, wherein the errors are measured between received sync symbols and the constellation points corresponding to the received symbols.
8. A Digital Subscriber Line (DSL) modem comprising: a processor; a line driver; and a memory comprising instructions wherein the instructions cause the processor to: receive an orthogonal pilot sequence during downstream sync symbols; measure an error sample based on the received orthogonal pilot sequence; format the error sample into a message block; encode the message block onto a plurality of bins from among a total number of bins available for communication over the DSL, the plurality of bins reserved for dedicated back channel communications for communicating error samples; and simultaneously cause the line driver to transmit upstream the message block using the plurality of bins over the DSL and to transmit encoded user data using bins not reserved for the dedicated back channel communications from a customer premises equipment (CPE), wherein the error samples enable Far-End Crosstalk (FEXT) pre-coder coefficients to be derived.
9. The DSL modem of claim 8, wherein the instructions further cause the processor to process the reception of a command relating to the error samples; and add acknowledgement information into the message block.
10. The DSL modem of claim 9, wherein the command specifies a resolution of each error sample, or specifies a bin group for error measurement or combination thereof.
11. The DSL modem of claim 10, wherein the acknowledgement information specifies the resolution of the error samples that the DSL modem is capable of transmitting.
12. The DSL modem of claim 9 wherein the message block comprises error detection data.
13. The DSL modem of claim 12 wherein the error detection data is a cyclic redundancy code.
14. The DSL modem of claim 8, wherein the DSL modem is a vectoring enabled Very High Speed Digital Subscriber Line (VDSL) modem.
15. The DSL modem of claim 8, wherein the instructions further cause the processor to measure the error sample based on received orthogonal pilot sequence and its corresponding constellation point.
16. A method of measuring downstream errors comprising: transmitting a first orthogonal pilot sequence downstream to a first customer premises equipment (CPE) during a first downstream sync symbol; receiving a first back channel message block corresponding to the first downstream sync symbol from the first CPE, said first back channel message block encoded on a plurality of bins from among a total number of bins available for upstream communication over a Digital Subscriber Line (DSL), the plurality of bins reserved for dedicated back channel communications for simultaneously communicating error samples derived from the first orthogonal pilot sequence while communicating encoded user data using bins not reserved for the dedicated back channel communications; extracting the error samples from the first back channel message block; and deriving pre-coder coefficients using the extracted error samples, wherein the pre-coder coefficients comprise Far-End Crosstalk (FEXT) pre-coder coefficients.
17. The method of claim 16 further comprising:
transmitting a second orthogonal pilot sequence that is orthogonal to the first orthogonal sequence to a second CPE during a second downstream sync symbol which is synchronized to the first downstream sync symbol;
receiving a second back channel message block corresponding to the first downstream sync symbol from the second CPE, said second back channel message block encoded on a second plurality of bins from among the total number of bins available for communication over the DSL subscriber line, the second plurality of bins reserved for the dedicated back channel communications; and
extracting error samples from the second back channel message block.
18. The method of claim 16 further comprising transmitting a command specifying a bin group for error measurement, where the command comprises a unique identifier associated with the bin group.
19. The method of claim 16 further comprising transmitting a command specifying the resolution for the error samples.
20. The method of claim 16 wherein each bin in the plurality of bins has an associated number of bits, wherein the associated number of bits is allocated using an additional signal to noise ratio (SNR) margin over a margin used in bins not reserved for the dedicated back channel communications.
21. The method of claim 16 wherein each bin in the plurality of bins has an associated number of bits, wherein the associated number of bits is derived from an existing bit loading profile.
22. The method of claim 16, wherein each bin has a SNR and the plurality of bins is selected from the bins with the highest SNR.
23. The method of claim 16 further comprising deriving the error samples from the first orthogonal pilot sequence and the constellation points corresponding to the first orthogonal pilot sequence.