All The Claims

1. A method for upgrading location-related data, the method comprising:
reading data, by a processor, from at least two data sources, wherein on a basis of the data of each of the at least two data sources sets of coordinates of real locations relevant for a respective aspect can be determined;
defining, by the processor, an area based on a set of coordinates for each of the real locations for each of the at least two data sources, and determining at least one value assigned to the area;
for each of the at least two data sources, aggregating overlapping areas defined for the data source so as to obtain non-overlapping areas with at least one assigned value for each of the at least two data sources; and
superposing, by the processor, the non-overlapping areas with the assigned values, which are based on the data from the at least two data sources, so as to obtain a value distribution, which reflects an overall situation with regard to at least two aspects in a real region, wherein the at least two aspects relate to at least one of safety and mobility.
2. The method according to claim 1, wherein the area defined for a respective set of coordinates for the at least two data sources is a square, a circle, or a polygon.
3. The method according to claim 1, wherein a size andor the at least one value of the area defined for a respective set of coordinates for the at least two data sources has at least one predetermined value, andor is based on information in the data read from the at least two data sources.
4. The method according to claim 1, wherein the at least one value, which is assigned to an area defined for a respective set of coordinates, for the at least two the data sources
is a uniform value for the area, or
is a value that varies over the area, or
comprises a maximum value, which is assigned to at least one center of the area corresponding to the set of coordinates, and further values, which are assigned to the area such that the further values become smaller with increasing distance from the center of the area, either continuously or in stages, or
comprises a plurality of values, which are assigned to the area such that with increasing distance from the real location defined by the set of coordinates, the values become larger either continuously or in stages at least up to a maximum value.
5. The method according to claim 1, wherein a point in time is assigned to at least one of the sets of coordinates that can be determined from the data of the at least two data sources, and wherein a size andor the assigned value of the area for the at least one set of coordinates is determined as a function of the point in time indicated for the at least one set of coordinates.
6. The method according to claim 1, wherein in the course of the aggregation of the areas for at least one of the at least two data sources a uniform value is assigned to all non-overlapping areas.
7. The method according to claim 1, wherein in the course of the aggregation of the areas for at least one of the at least two data sources the values assigned to the defined areas are accumulated in overlapping parts of the defined areas.
8. The method according to claim 1, wherein for at least one of the data sources for each set of coordinates an area with an assigned value is defined, which area has a hole around the location defined by the set of coordinates, and wherein the aggregation for the at least one of the data sources results in a non-overlapping area with holes around all locations defined by the sets of coordinates.
9. The method according to claim 1, further comprising:
detecting a user input, which specifies a weighting for the at least two data sources; and
using the specified weightings for an adjustment of an influence of the at least two data sources on the value distribution.
10. The method according to claim 9, wherein a use of the specified weightings for the adjustment of the influence of the at least two data sources on the value distribution comprises:
weighting the values assigned to the non-overlapping areas for each of the at least two data sources in accordance with the specified weighting before the superposition of the non-overlapping areas; or
determining the values of the defined areas for each of the at least two data sources taking into account the specified weighting.
11. The method according to claim 1, furthermore comprising storing data relating to the non-overlapping areas and the assigned values for the at least two data sources as a basis for a repeated superposition.
12. The method according to claim 1, wherein the at least two data sources comprise at least one of the following:
a data source, which provides data, from which sets of coordinates can be determined for locations relating to a least one type of event or incident;
a data source, which provides data, from which sets of coordinates can be determined for locations relating to at least one type of local circumstance;
a data source, which provides data, from which sets of coordinates can be determined for locations of at least one type of local situation; and
a data source, which provides data, from which sets of coordinates can be determined for a particular type of facility.
13. The method according to claim 1, further comprising at least one of the following steps:
presenting a three-dimensional profile illustrating the value distribution by means of a display unit;
presenting a three-dimensional profile illustrating the value distribution together with a road network by means of a display unit;
providing the value distribution for a route computation; and
carrying out a route computation taking into account the value distribution.
14. An apparatus for upgrading location-related data comprising a non-transitory computer-readable storage medium having instructions therein, that when executed by a computing device, cause the computing device to perform the following:
read data from at least two data sources, wherein on a basis of the data of each of the at least two data sources sets of coordinates of real locations relevant for a respective aspect can be determined;
define an area based on a set of coordinates for each of the real locations for each of the at least two data sources, and determining at least one value assigned to the area;
for each of the at least two data sources, aggregate overlapping areas defined for a data source so as to obtain non-overlapping areas with at least one assigned value for each of the at least two data sources; and
superpose the non-overlapping areas with the assigned values, which are based on the data from the at least two data sources, so as to obtain a value distribution, which reflects an overall situation with regard to at least two aspects in a real region, wherein the at least two aspects relate to at least one of safety and mobility.
15. The apparatus according to claim 14, wherein the area defined for a respective set of coordinates for at least one of the data sources is a square, a circle, or a polygon.
16. The apparatus according to claim 14, wherein a size andor the at least one assigned value of the area defined for the respective set of coordinates for the at least two data sources has at least one predetermined value, andor is based on information in the data read from the at least two data sources.
17. The apparatus according to claim 14, wherein the at least one assigned value, which is assigned to an area defined for a respective set of coordinates, for the at least two data sources:
is a uniform value for the area, or
is a value that varies over the area, or
comprises a maximum value, which is assigned to at least one center of the area corresponding to the set of coordinates, and further values, which are assigned to the area such that the further values become smaller with increasing distance from the at least one center of the area, either continuously or in stages, or
comprises a plurality of values, which are assigned to the area such that with increasing distance from the real location defined by the set of coordinates, the values become larger either continuously or in stages at least up to a maximum value.
18. The apparatus according to claim 14, wherein the apparatus assigns a point in time to at least one of the sets of coordinates that can be determined from the data of the at least two data sources, wherein a size andor the assigned value of the area for the at least one set of coordinates is determined as a function of the point in time indicated for the at least one set of coordinates.
19. The apparatus according to claim 14, wherein the apparatus, in a course of the aggregation of the areas for at least one of the at least two data sources, assigns a uniform value to all non-overlapping areas.
20. The apparatus according to claim 14, wherein the at least one memory and the at least one program are configured, together with the at least one processor, to cause the apparatus to, in the course of the aggregation of the areas for at least one of the at least two data sources, accumulate the values assigned to the defined areas in overlapping parts of the defined areas.
21. The apparatus according to claim 14, wherein the apparatus defines the at least two data sources for each set of coordinates a respective area with an assigned value, which the area has a hole around the real location defined by the sets of coordinates, and wherein the aggregation for the at least one of the two data sources results in a non-overlapping area with holes around the real locations defined by the sets of coordinates.
22. The apparatus according to claim 14, wherein the apparatus further performs the following:
detect a user input, which specifies a weighting for the at least two data sources; and
use the specified weightings for an adjustment of an influence of the at least two data sources on the value distribution.
23. The apparatus according to claim 22, wherein the use of the specified weightings for the adjustment of the influence of the at least two data sources on the value distribution comprises:
weighting the values assigned to the non-overlapping areas for each of the at least two data sources in accordance with the specified weighting before the superposition of the non-overlapping areas; or
determining the values of the defined areas for each of the at least two data sources taking into account the specified weighting.
24. The apparatus according to claim 14, wherein the at least one memory and the at least one program are furthermore configured, together with the at least one processor, to cause the apparatus to store data relating to the non-overlapping areas and the assigned values for the at least two data sources as a basis for a repeated superposition.
25. The apparatus according to claim 14, wherein the at least two data sources comprise at least one of the following:
a data source, which provides data, from which sets of coordinates can be determined for locations relating to a least one type of event or incident;
a data source, which provides data, from which sets of coordinates can be determined for locations relating to at least one type of local circumstance;
a data source, which provides data, from which sets of coordinates can be determined for locations of at least one type of local situation; and
a data source, which provides data, from which sets of coordinates can be determined for a particular type of facility.
26. The apparatus according to claim 14, wherein the non-transitory computer-readable storage medium having instructions therein, that when executed by a computing device, cause the computing device to additionally execute at least one of the following:
present a three-dimensional profile illustrating the value distribution by means of a display unit;
present a three-dimensional profile illustrating the value distribution together with a road network by means of a display unit;
provide the value distribution for a route computation; and
carry out a route computation taking into account the value distribution.
27. A non-transitory computer-readable storage medium having instructions therein, that when executed by a computing device, cause the computing device to perform the following:
read data from at least two data sources, wherein on a basis of the data of each of the at least two data sources sets of coordinates of real locations relevant for a respective aspect can be determined;
define an area based on a set of coordinates for each of the real locations for each of the at least two data sources, and determining at least one value assigned to the area;
for each of the at least two data sources, aggregate overlapping areas defined for the data source so as to obtain non-overlapping areas with at least one assigned value for each of the at least two data sources; and
superpose the non-overlapping areas with the assigned values, which are based on the data from the at least two data sources, so as to obtain a value distribution, which reflects an overall situation with regard to the at least two aspects in a region, wherein the at least two aspects relate to at least one of safety and mobility.

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 apparatus comprising a processor operable to:
receive a hard token comprising a device identifier that identifies a device;
receive a subject token indicating that a user is a high priority user, wherein the subject token includes a user identifier associated with the high priority user;
correlate the hard token with the subject token to indicate that the device is associated with the high priority user;
apply a token-based rule that facilitates packet prioritization in response to receiving the subject token indicating a high priority user;
in response to applying the token-based rule, communicate a notification token to at least one network component, wherein the notification token includes the user identifier associated with the high priority user, the device identifier associated with the device associated with the high priority user, and instructions to prioritize any packet communications associated with the user identifier or the device identifier; and
communicate at least one token to facilitate the provisioning of a container to the device associated with the high priority user.
2. The apparatus of claim 1, wherein a plurality of packets that are communicated to provision the container to the device associated with the high priority user are prioritized over other packets in response to the notification token.
3. The apparatus of claim 1, the processor further operable to communicate to at least one network server a session token that includes the user identifier and the device identifier such that a process that runs during a session associated with the high priority user will be prioritized over other processes.
4. The apparatus of claim 3, wherein the session token is designated as high priority.
5. The apparatus of claim 3, wherein the at least one network server comprises a secure token server.
6. The apparatus of claim 1, wherein the network components comprises one of a router, a switch, and a gateway.
7. The apparatus of claim 1, wherein the container comprises a virtual machine associated with the device.
8. A method for implementing token-based prioritization of packets, comprising:
receiving a hard token comprising a device identifier that identifies a device;
receiving a subject token indicating that a user is a high priority user, wherein the subject token includes a user identifier associated with the high priority user;
correlating the hard token with the subject token to indicate that the device is associated with the high priority user;
applying a token-based rule that facilitates packet prioritization in response to receiving the subject token indicating a high priority user;
in response to applying the token-based rule, communicating a notification token to at least one network component, wherein the notification token includes the user identifier associated with the high priority user, the device identifier associated with the device associated with the high priority user, and instructions to prioritize any packet communications associated with the user identifier or the device identifier; and
communicating at least one token to facilitate the provisioning of a container to the device associated with the high priority user.
9. The method of claim 8, wherein a plurality of packets that are communicated to provision the container to the device associated with the high priority user are prioritized over other packets in response to the notification token.
10. The method of claim 8, further comprising communicating to at least one network server a session token that includes the user identifier and the device identifier such that a process that runs during a session associated with the high priority user will be prioritized over other processes.
11. The method of claim 10, wherein the session token is designated as high priority.
12. The method of claim 10, wherein the at least one network server comprises a secure token server.
13. The method of claim 8, wherein the network components comprises one of a router, a switch, and a gateway.
14. The method of claim 8, wherein the container comprises a virtual machine associated with the device.
15. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
receive a hard token comprising a device identifier that identifies a device;
receive a subject token indicating that a user is a high priority user, wherein the subject token includes a user identifier associated with the high priority user;
correlate the hard token with the subject token to indicate that the device is associated with the high priority user;
apply a token-based rule that facilitates packet prioritization in response to receiving the subject token indicating a high priority user;
in response to applying the token-based rule, communicate a notification token to at least one network component, wherein the notification token includes the user identifier associated with the high priority user, the device identifier associated with the device associated with the high priority user, and instructions to prioritize any packet communications associated with the user identifier or the device identifier; and
communicate at least one token to facilitate the provisioning of a container to the device associated with the high priority user.
16. The media of claim 15, wherein a plurality of packets that are communicated to provision the container to the device associated with the high priority user are prioritized over other packets in response to the notification token.
17. The media of claim 15 embodying software further operable when executed to communicate to at least one network server a session token that includes the user identifier and the device identifier such that a process that runs during a session associated with the high priority user will be prioritized over other processes.
18. The media of claim 17, wherein the session token is designated as high
19. The media of claim 17, wherein the at least one network server comprises a secure token server.
20. The media of claim 15, wherein the network components comprises one of a router, a switch, and a gateway.
21. The media of claim 15, wherein the container comprises a virtual machine associated with the device.

What is claimed is:

1. A swivel snap hook of synthetic resin including: a hook body having a hook extended from a base portion of the hook body; and a stopper piece having a front-end outside engaging face to be engaged with a front-end inside engaging face of a curved portion of the hook body, the front-end outside engaging face being extended up to the front-end inside engaging face, said stopper piece being elastically deformable with respect to a base end thereof as a fulcrum, wherein at least the front-end inside engaging face of the curved portion has a protrusion having a minute protruding height and protruded toward the front-end outside engaging face of the stopper piece.
2. A swivel snap hook of synthetic resin according to claim 1, wherein a minute portion of a tip end of the protrusion is molded integrally with the front-end outside engaging face of the stopper piece.
3. A swivel snap hook of synthetic resin including: a hook body having a hook extended from a base portion of the hook body; and a stopper piece having a front-end outside engaging face to be engaged with a front-end inside engaging face of a curved portion of the hook body, the front-end outside engaging face being extended up to the front-end inside engaging face, said stopper piece being elastically deformable with respect to a base end thereof as a fulcrum, wherein at least the front-end outside engaging face of the stopper piece has a protrusion having a minute height and protruded toward the front-end inside engaging face of the curved portion.
4. A swivel snap hook of synthetic resin according to claim 3, wherein a minute portion of a tip end of the protrusion on the front-end outside engaging face of the stopper piece is integrally molded with the front-end inside engaging face of the curved portion.
5. A swivel snap hook of synthetic resin according to claim 1 or 3, further including a rib-like protrusion provided below the front-end inside engaging face of the curved portion, the rib-like protrusion having an inside end face on an extension of a front-end inside face of the stopper piece.
6. A swivel snap hook of synthetic resin according to claim 5, wherein a height of the rib-like protrusion is slightly shorter than a gap between the stopper piece and the bottom face of the hook body.
7. A swivel snap hook of synthetic resin according to claim 5, wherein the rib-like protrusion is connected to the protrusion having a minute protruding height and protruded from the inside engaging face of the curved portion.

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 of recording data to an information storage medium comprising,
obtaining an optimal recording condition using an optimal power control area in a first information storage layer andor a second information storage layer; and
recording data to the first andor second information storage layers according to the obtained optimal recording condition, wherein:
the first information storage layer is adjacent to the second information storage layer,
the first information storage layer comprises a first optimal power control area and a first reserved area adjacent to the first optimal power control area,
the second information storage layer comprises a second optimal power control area and a second reserved area adjacent to the second optimal power control area,
a beginning or an end of the first optimal power control area of the first information storage layer is aligned with a beginning or an end of the second reserved area of the second information storage layer, and
a beginning or an end of the second optimal power control area of the second information storage layer is aligned with a beginning or an end of the first reserved area of the first information storage layer.
2. The method of claim 1, wherein the first and second optimal power control areas are recorded in opposite directions.