1. A magnetic recording medium comprising:
a ferromagnetic recording layer with a first anisotropy for magnetic recording;
a coupling layer under the recording layer; and
an orthogonal anisotropy layer with a second anisotropy orthogonal to the first anisotropy and exchange coupled to the recording layer, the orthogonal anisotropy layer is ferromagnetic over a first timescale and has negligible remanent magnetization over a second timescale that is longer than the first timescale.
2. The magnetic recording medium of claim 1 further comprising:
a spacer layer under the orthogonal anisotropy layer; and
a magnetically soft underlayer under the spacer layer.
3. The magnetic recording medium of claim 1 wherein the orthogonal anisotropy layer has a small KuVkT such that it is ferromagnetic over a timescale of microseconds or less and is superparamagnetic with negligible remanent magnetization for times greater than microseconds.
4. The magnetic recording medium of claim 1 wherein the orthogonal anisotropy layer has an in-plane anisotropy in a radial, cross-track direction.
5. The magnetic recording medium of claim 1 for use in longitudinal recording wherein the first anisotropy is an easy axis in a plane of the recording medium and the second anisotropy is an easy axis perpendicular to the plane of the recording medium.
6. The magnetic recording medium of claim 1 wherein the orthogonal anisotropy layer has a property of saturating in a predetermined magnetic field that does not saturate the recording layer.
7. The magnetic recording medium of claim 1 for use in perpendicular recording wherein the first anisotropy is an easy axis perpendicular to a plane of the recording medium and the second anisotropy is an easy axis in the plane of the recording medium.
8. The magnetic recording medium of claim 1 wherein the orthogonal anisotropy layer and the recording layer are antiferromagnetically coupled.
9. The magnetic recording medium of claim 1 wherein the orthogonal anisotropy layer and the recording layer are ferromagnetically coupled.
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 computer-implemented method of optimizing at least one of a design, testing, manufacturing, and delivery process for a product in a mass manufacturing process, the method comprising:
collecting error data comprising a symptom relating to the product;
mapping the symptom to a revealing condition of the product;
mapping the revealing condition to a test type;
mapping a scope of a fix to phases of error injection mapping; and
recommending modifications to an end user for at least one of the design, testing, manufacture, and delivery of the product based on the scope of the fix.
2. The method of claim 1 wherein the steps of collecting, mapping the symptom, mapping the revealing condition, mapping the scope, and recommending modification are performed at regular intervals are performed at scheduled intervals.
3. The method of claim 1 wherein the steps of collecting, mapping the symptom, mapping the revealing condition, mapping the scope, and recommending modification are performed at regular intervals are performed for every subsequent version of the product.
4. The method of claim 1 wherein mapping the symptom comprises classifying the symptom into at least one attribute selected from a group consisting of: phase when found, vehicle identification, unique identifier, open data, close data, customer impact, ownership duration, product impact, non-product impact, scope of fix, corrective action, responsible agent, part history, part hierarchy, part number, number of hits affected, and complexity level.
5. The method of claim 4 wherein the classifying is derived automatically.
6. The method of claim 5 wherein the classifying is based on at least one of: a scope of fix, action, and a duration of ownership, and a phase of error injection.
7. A computer node in a network, said computer node comprising:
a central processing unit;
a network interface coupled with the central processing unit for enabling communication with other computer nodes in the network;
a storage device;
a database; and
a memory comprising logic for:
receiving an http request;
determining which handler among a plurality of handlers to invoke in order to process the request; and
invoking the handler;
wherein the plurality of handlers comprise:
an error data collection handler for collecting error data comprising a symptom relating to the product, and storing the error data in the database;
an error data classification handler for classifying the error data and storing results of the classifying in the database;
an analysis handler for using the classified error data stored in the database for: mapping the symptom to a revealing condition; mapping the revealing condition to a test type; and mapping a scope of a fix to phases of error injection mapping; and
a suggested actions report handler for recommending modifications to an end user for at least one of the design, testing, manufacture, and delivery of the product.
8. The computer node of claim 7 wherein said computer node is an HTTP server.
9. The computer node of claim 7 wherein the handlers are embodied as logic within the memory and executing on the computer node.
10. The computer node of claim 7 wherein the database comprises a PSEC server database.
11. The computer node of claim 10 wherein the memory further comprises:
a PSEC client handler; and
a PSEC client interface servlet.
12. A computer readable storage medium comprising computer program instructions for enabling a computer to optimize at least one of a design, testing, manufacturing, and delivery process for a product in a mass manufacturing process, wherein said computer program instructions cause the computer to execute steps of:
collecting error data comprising a symptom relating to the product;
mapping the symptom to a revealing condition;
mapping the revealing condition to a test type;
mapping a scope of a fix to phases of error injection mapping; and
recommending modifications to an end user for at least one of the design, testing, manufacture, and delivery of the product based on the scope of the fix.
13. The computer readable storage medium of claim 12 wherein the steps of collecting, mapping the symptom, mapping the revealing condition, mapping the scope, and recommending modification are performed at scheduled intervals.
14. The computer readable storage medium of claim 12 wherein the steps of collecting, mapping the symptom, mapping the revealing condition, mapping the scope, and recommending modification are performed for every subsequent version of the product.
15. The computer readable storage medium of claim 12 wherein the symptom comprises at least one attribute selected from a group consisting of: phase when found, vehicle identification, unique identifier, open data, close data, customer impact, ownership duration, product impact, non-product impact, scope of fix, corrective action, responsible agent, part history, part hierarchy, part number, number of hits affected, and complexity level.