All The Claims

1. A communication device for updating current navigation contents stored in a navigation device, the communication device comprising:
a retrieving element for retrieving information indicating current navigation contents from the navigation device;
a transmitter for transmitting the information indicating the current navigation contents to a remote network device via a communication network;
a receiver for receiving updated navigation contents from the remote communication device; and
a processor for displaying information relating to the updated navigation contents or for installing the updated navigation contents on the navigation device.
2. The communication device according to claim 1, the retrieving element being further configured to retrieve information indicating device identification or user identification from the navigation device, the transmitter being further configured to transmit the device of user identification to the remote communication device.
3. The communication device according to claim 1, the transmitter being further configured to transmit the information indicating the current navigation contents as meta data or as a table of contents file.
4. The communication device according to claim 1, the retrieving element being configured to connect to the navigation device for obtaining current navigation contents from the navigation device.
5. A method for updating current navigation contents stored in a navigation device, the method comprising:
retrieving information indicating current navigation contents from the navigation device;
transmitting the information indicating the current navigation contents to a remote network device via a communication network;
receiving updated navigation contents from the remote communication device; and
displaying information relating to the updated navigation contents or installing the updated navigation contents on the navigation device.
6. The method according to claim 5, further comprising retrieving information indicating device identification or user identification from the navigation device or transmitting the device of user identification to the remote communication device.
7. The method according to claim 5, comprising transmitting the information indicating the current navigation contents as meta data or as a table of contents file.
8. The method according to claim 5, comprising verifying the entitlement of a user associated with the navigation device or verifying the entitlement of the navigation device for obtaining certain updated navigation contents.
9. The method according to claim 5, the navigation contents or the updated navigation contents comprising information indicating routing information or updated firmware or map information.
10. The method according to claim 5, the information indicating the updated navigation contents comprising priority information indicating that a certain navigation content has a higher priority than another navigation content.
11. A computer program for performing the method according to claim 5 when the computer program runs on a computer.

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. An image processing apparatus comprising:
a personal storage area provided for a user;
a group storage area shared with a plurality of users who are members of a group;
an identifier that identifies from one consolidated data that is made from user’s data created for one or more than one user of the group and inputted in the group storage area, a personal storage area(s) to which the user’s data are to be delivered; and
a transmitter that transmits the user’s data to the personal storage area(s) identified by the identifier.
2. The image processing apparatus as recited in claim 1, wherein:
the consolidated data includes user’s data created for users of a plurality of groups and group information indicating groups to which the user’s data belong, further comprising:
a data detector that detects from the consolidated data, the user’s data belonging to a group owning a group storage area in which the consolidated data is inputted, based on the group information.
3. The image processing apparatus as recited in claim 2, wherein:
the consolidated data further includes circulation information to transmit the consolidated data to a plurality of group storage areas in order,

further comprising:
a circulation information detector that detects the circulation information from the consolidated data inputted in the group storage area,

and wherein:
the transmitter transmits the consolidated data to another group storage area that is the following destination, according to the detected circulation information.
4. The image processing apparatus as recited in claim 3, further comprising:
a deleter that deletes from the consolidated data, the user’s data detected by the data detector, if the consolidated data is transmitted to another group storage area,

wherein:
the transmitter transmits the consolidated data from which the detected data is deleted by the deleter to another group storage area.
5. The image processing apparatus as recited in claim 3, wherein:
another group storage area that is a following destination exists in another image processing apparatus, and the transmitter transmits via a network the consolidated data to the group storage area.
6. The image processing apparatus as recited in claim 1, wherein:
the consolidated data is stored in one storage area,

further comprising:
a consolidated data obtainer that accesses the storage area on a periodic basis, obtains the consolidated data therefrom, and inputs the obtained consolidated data in the group storage area.
7. The image processing apparatus as recited in claim 6, wherein:
the storage area in which the consolidated data is stored exists in another image processing apparatus, and the consolidated data obtainer obtains via a network the consolidated data from the storage area.
8. The image processing apparatus as recited in claim 1, wherein:
the consolidated data includes user’s data created for users of a plurality of groups and group information indicating groups to which the user’s data belong, and the consolidated data is stored in one storage area,

further comprising:
a sorter that detects from the consolidated data stored in the storage area, the user’s data created for users of a plurality of groups, and sorts the user’s data by groups, and then transmits the user’s data to group storage areas owned by the groups, based on the group information.
9. The image processing apparatus as recited in claim 8, wherein:
the storage area in which the consolidated data is stored exists in another image processing apparatus,

further comprising:
a receiver that receives via a network the user’s data, and inputs the received user’s data in a group storage area.
10. A data delivery method comprising:
identifying from one consolidated data that is made from user’s data created for one or more than one user of a group and inputted in a group storage area shared with a plurality of users that are members of the group, a personal storage area(s) to which the user’s data are to be delivered; and
transmitting the user’s data to the identified personal storage area(s).
11. The data delivery method as recited in claim 10, wherein:
the consolidated data includes user’s data created for users of a plurality of groups and group information indicating groups to which the user’s data belong,

further comprising the step of:
detecting from the consolidated data, the user’s data belonging to a group owning a group storage area in which the consolidated data is inputted, based on the group information.
12. A data delivery program stored in a computer readable recording medium in order to make a computer of an image processing apparatus execute:
identifying from one consolidated data that is made from user’s data created for one or more than one user of a group and inputted in a group storage area shared with a plurality of users that are members of the group, a personal storage area(s) to which the user’s data are to be delivered; and
transmitting the user’s data to the identified personal storage area(s).
13. The data delivery program as recited in claim 12, wherein:
the consolidated data includes user’s data created for users of a plurality of groups and group information indicating groups to which the user’s data belong, and

further making the computer execute:
detecting from the consolidated data, the user’s data belonging to a group owning a group storage area in which the consolidated data is inputted, based on the group information.
14. The data delivery program as recited in claim 13, wherein:
the consolidated data further includes circulation information to transmit the consolidated data to a plurality of group storage areas in order, and

further making the computer execute:
detecting the circulation information from the consolidated data inputted in the group storage area; and
transmitting the consolidated data to another group storage area that is the following destination, according to the detected circulation information.
15. The data delivery program as recited in claim 14, further making the computer execute:
erasing the user’s data detected from the consolidated data, if the consolidated data is transmitted to another group storage area; and
transmitting the consolidated data from which the detected data is deleted in the prior step, to another group storage area.
16. The data delivery program as recited in claim 15, wherein:
another group storage area that is a following destination exists in another image processing apparatus,

further making the computer execute:
transmitting the consolidated data via a network to another group storage area.
17. The data delivery program as recited in claim 12, wherein:
the consolidated data is stored in one storage area, and

further making the computer execute:
accessing the storage area on a periodic basis, obtaining the consolidated data therefrom, and transmitting the obtained consolidated data to the group storage area.
18. The data delivery program as recited in claim 17, wherein:
the storage area in which the consolidated data is stored exists in another image processing apparatus, and the consolidated data is obtained via a network from the storage area in the obtaining step.
19. The data delivery program as recited in claim 12, wherein:
the consolidated data includes user’s data created for users of a plurality of groups and group information indicating groups to which the user’s data belong, and the consolidated data is stored in one storage area, and

further making the computer execute:
detecting from the consolidated data stored in the storage area, the user’s data created for users of a plurality of groups, and sorting the user’s data by groups, and then transmitting the user’s data to group storage areas owned by the groups, based on the group information.
20. The data delivery program as recited in claim 19, wherein:
the storage area in which the consolidated data is stored exists in another image processing apparatus, and

further making the computer execute:
receiving via a network the user’s data, and inputting the received user’s data in group storage areas, respectively.

1. Ferritic stainless steel having a chemical composition containing, by mass %, C: 0.020% or less, Si: 3.0% or less, Mn: 3.0% or less, P: 0.040% or less, S: 0.030% or less, Cr: 10% to 25%, N: 0.020% or less, Nb: 0.005% to 0.15%, Al: 0.3% or more and less than 1.0% , Ti: 5\xd7(C %+N %) to 0.5%, Mo: 0.1% or less, W: 0.1% or less, Cu: 0.55% to 2.0%, B: 0.0002% to 0.0050%, Ni: 0.05% to 1.0%, and the balance being Fe and inevitable impurities, where C % and N % in the expression 5\xd7(C %+N %) respectively represent the contents (mass %) of the chemical elements C and N, wherein the ferritic stainless steel exhibits a weight gain by oxidation of less than 50 gm2.
2. The ferritic stainless steel according to claim 1, the steel having the chemical composition further containing, by mass %, one or more selected from the group consisting of REM: 0.001% to 0.08%, Zr: 0.01% to 0.5%, V: 0.01% to 0.5%, and Co: 0.01% to 0.5%.
3. The ferritic stainless steel according to claim 1, the steel having the chemical composition further containing, by mass %, one or more selected from the group consisting of Ca: 0.0005% to 0.0030% and Mg: 0.0002% to 0.0020%.
4. The ferritic stainless steel according to claim 2, the steel having the chemical composition further containing, by mass %, one or more selected from the group consisting of Ca: 0.0005% to 0.0030% and Mg: 0.0002% to 0.0020%.
5. The ferritic stainless steel according to claim 1, wherein the steel exhibits a thermal fatigue cycle number for failure of 900 or more.
6. The ferritic stainless steel according to claim 1, wherein the steel exhibits a cycle number for breakage in a high temperature fatigue test of more than 15\xd7105.

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. An interface between a data tier and a client tier of a computing system, comprising:
an interface software component; and
a set of services associated with a data source in the data tier, the services and data source being automatically determined a user of the client tier by the interface component from the user’s identity.
2. The interface of claim 1, wherein the interface software component includes:
a plurality of master data pages; and
an artificial intelligence, including:
a rules base; and
an inferencing engine capable operating on the rules base to perform the automatic determination.
3. The interface of claim 1, wherein the interface software component includes:
a plurality of master data pages; and
a plurality of lookup tables.
4. The interface of claim 1, wherein the interface comprises a service oriented architecture.
5. The interface of claim 1, wherein the interface software component comprises a plurality of master data pages through which the user interacts.
6. A computer-implemented method for interfacing a data tier and a client tier of a computing system, comprising:
identifying the user of a client;
automatically determining from the user identity a data source and a set of services associated with the data source; and
associating the client with the automatically determined data source and services.
7. The computer-implemented method of claim 6, wherein the automatic determination includes inferencing on a plurality of rules to determine the data source and services.
8. The computer-implemented method of claim 6, wherein the automatic determination includes consulting a look-up table to determine the data source and services.
9. A computer-readable, program storage device encoded with instructions that, when executed by a processor, perform a method for interfacing a data tier and a client tier of a computing system, the method comprising:
identifying the user of a client;
automatically determining from the user identity a data source and a set of services associated with the data source; and
associating the client with the automatically determined data source and services.
10. The computer-readable, program storage device of claim 9, wherein the automatic determination includes inferencing on a plurality of rules to determine the data source and services.
11. The computer-readable, program storage device of claim 9, wherein the automatic determination includes consulting a look-up table to determine the data source and services.
12. A computing system, comprising:
a processor;
a bus system;
a storage, in which resides:
a client that may communicate over the bus system;
a plurality of data sources accessible over the bus system;
a plurality of services that may be invoked and operate over the bus system; and
an interface software component that, when invoked by the processor over the bus system, performs a method including:
identifying the user of a client;
automatically determining from the user identity a data source and a set of services associated with the data source; and
associating the client with the automatically determined data source and services.
13. The computing system of claim 12, wherein the interface software component includes:
an interface component; and
a set of services associated with a data source in the data tier, the services and data source being automatically determined a user of the client tier by the interface component from the user’s identity.
14. The computing system of claim 12, wherein the interface software component further includes:
a plurality of master data pages; and
an artificial intelligence, including:
a rules base; and
an inferencing engine capable operating on the rules base to perform the automatic determination.
15. The computing system of claim 12, wherein the interface software component further includes:
a plurality of master data pages; and
a plurality of lookup tables.
16. The computing system of claim 12, wherein the automatic determination includes inferencing on a plurality of rules to determine the data source and services.
17. The computing system of claim 12, wherein the automatic determination includes consulting a look-up table to determine the data source and services.
18. A computing system, comprising:
a plurality of data sources;
a plurality of clients;
a plurality of services; and
an interface between the data sources and the clients capable of:
identifying the user of a client;
automatically determining from the user identity a data source and a set of services associated with the data source; and
associating the client with the automatically determined data source and services.
19. The computing system of claim 18, wherein the interface software component includes:
an interface component; and
a set of services associated with a data source in the data tier, the services and data source being automatically determined a user of the client tier by the interface component from the user’s identity.
20. The computing system of claim 18, wherein the interface software component further includes:
a plurality of master data pages; and
an artificial intelligence, including:
a rules base; and
an inferencing engine capable operating on the rules base to perform the automatic determination.
21. The computing system of claim 18, wherein the interface software component further includes:
a plurality of master data pages; and
a plurality of lookup tables.
22. The computing system of claim 18, wherein the automatic determination includes inferencing on a plurality of rules to determine the data source and services.
23. The computing system of claim 18, wherein the automatic determination includes consulting a look-up table to determine the data source and services.