1. An apparatus for housing and accessing an electrical device, the apparatus comprising:
an equipment drawer configured with a compartment; and
a mounting frame situated within the equipment drawer, the mounting frame configured to transition between a plurality of functional positions, including a loading position for receiving an electrical device and an operational position for the operation of the electrical device.
2. The apparatus of claim 1, wherein the mounting frame comprises:
a plate having a distal end and a proximal end;
a hinge configured to connect the distal end of the plate to the equipment drawer;
a mounting rail attached to a face of the plate oriented towards the equipment drawer, the mounting rail further configured to mount the electrical device; and
an electrical connector adapted to receive a corresponding electrical connector on the electrical device.
3. The apparatus of claim 2, wherein the mounting frame swivels on the hinge, the mounting frame transitioning between the operational position in which the mounting frame is flush with the exterior surface of the equipment drawer and the loading position in which the mounting frame is disposed at an angle to the equipment drawer.
4. The apparatus of claim 3, wherein the mounting frame in the loading position is configured to receive the electrical device on the mounting rail, the electrical device engaging the mounting rail near the proximal end of the plate and sliding along the mounting rail to connect with the mounting frame electrical connector.
5. The apparatus of claim 1, wherein the equipment drawer is further configured to receive a plurality of mounting frames.
6. The apparatus of claim 1, further comprising a connector attached to the mounting frame, the connector configured to provide electrical connectivity to the electrical device.
7. The apparatus of claim 6, wherein the connector is further configured to facilitate hot swapping of the electrical device.
8. The apparatus of claim 1, wherein the mounting frame is further configured with hardware for mounting the electrical device.
9. The apparatus of claim 1, further comprising a backplane panel rigidly attached to the mounting frame.
10. The apparatus of claim 6, wherein the connector is disposed on the backplane panel.
11. A hot swapping mounting assembly for placement in an equipment drawer, the mounting assembly comprising:
a mounting frame situated within an equipment drawer, the mounting frame configured to transition between a loading position and an operational position; and
a mounting rail attached to the mounting frame, the mounting rail configured to receive a mounting guide of an electrical device.
12. The mounting assembly of claim 11, further comprising a connector attached to the mounting frame, the connector configured to provide electrical connectivity to the electrical device.
13. The mounting assembly of claim 11, wherein the mounting frame is further configured to retract within the equipment drawer.
14. An apparatus for housing and accessing an electrical device, the apparatus comprising:
means for mounting an electrical device;
means for transitioning the mounting means between a loading position and an operational position; and
means for connecting to the electrical device.
15. The apparatus of claim 14, further comprising means for connecting the electrical device.
16. A system for housing and accessing an electrical device, the system comprising:
a computer equipment cabinet;
an equipment drawer; and
a mounting frame disposed within the equipment drawer and configured to transition between a loading position for receiving an electrical device and an operational position.
17. The system of claim 16, further comprising a connector configured to provide a connection.
18. The system of claim 16, wherein the mounting frame is further configured to retract within the equipment drawer.
19. The system of claim 16, wherein the mounting frame is further configured to allow hot swapping of the electrical device.
20. The system of claim 16, wherein the mounting frame is further configured with a mounting rail for attaching the electrical device.
21. The system of claim 16, wherein the mounting frame is further configured with a backplane panel.
22. A method for accessing an electrical device within a computer equipment cabinet, the method comprising:
moving a mounting frame to a loading position;
connecting an electrical device to a connector connected with the mounting frame; and retracting the mounting frame and the electrical device to an operational position.
23. The method of claim 22, further comprising removing the electrical device while maintaining the operation of other electrical devices.
24. The method of claim 22, wherein connecting the electrical device is conducted while maintaining the operation of other electrical devices.
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 system comprising:
a hybrid network comprising a plurality of members; and
a social prosthetic system monitor monitoring communications between the members of the hybrid network and triggering an estimation of an intent of one or more members of the hybrid network, estimating the intent and determining a confidence level of the intent, and triggering an action based on the confidence level.
2. The system of claim 1, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability.
3. The system of claim 2, wherein the at least one user interfaces with the hybrid network via a communications device.
4. The system of claim 2, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent.
5. A method of inferring intent in a hybrid network comprising:
monitoring communications in the hybrid network between a plurality of members;
triggering an estimation of an intent of one or more members of the hybrid network;
estimating the intent;
determining a confidence level of the intent; and
triggering an action based on the confidence level.
6. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user.
7. The method of claim 6, wherein the at least one user interfaces with the hybrid network via a communications device.
8. The method of claim 6, further comprising predicting an output of the at least one artificial intelligence agent by a social prosthetic system monitor, wherein the action is the prediction.
9. The method of claim 5, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent.
10. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a degree to which members of the hybrid network affect one another.
11. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a connection within a hyrbid network between the members.
12. The method of claim 5, wherein the estimation of intent includes an analysis of a social network to which one or more of the members belongs, the analysis determining one or more of a degree centrality, a between-ness centrality, a closeness, an eigenvalue, a hub and authority.
13. The method of claim 5, wherein the triggered action includes one or more of a report, an alert, and an advice.
14. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
identifying the at least one user as a customer, wherein the intent is the intent of the customer’s intent; and
updating a business practice using the intent of the customer.
15. A computer program product for inferring intent in a hybrid network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:
monitoring communications in the hybrid network between a plurality of members;
triggering an estimation of an intent of one or more members of the hybrid network;
estimating the intent;
estimating the intent;
determining a confidence level of the intent; and
triggering an action based on the confidence level.
16. The computer program product of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user.
17. The method of claim 16, further comprising predicting an output of the at least one artificial intelligence agent by a social prosthetic system monitor, wherein the action is the prediction.
18. The method of claim 15, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent.
19. The method of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a degree to which members of the hybrid network affect one another.
20. The method of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising:
monitoring a query made by the at least one user to the at least one artificial intelligence agent; and
triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a connection within a hyrbid network between the members.