All The Claims

1. An antenna assembly, comprising:
a first antenna loop having a closed loop oriented in a first flat spatial plane;
a second antenna loop having a closed loop oriented in a second flat spatial plane, said first and second spatial planes in relative perpendicular orientation along a first axis; and
a third antenna loop having a closed loop oriented in a third flat spatial plane, said third spatial plane in relative perpendicular orientation to said first axis.
2. The antenna assembly of claim 1, wherein said first antenna loop, said second antenna loop and said third antenna loop each comprise a pair of semi-loop elements, with all said semi-loop elements being essentially identical.
3. The antenna assembly of claim 2 further comprising a mounting mast extending along said first axis from said first and second antenna loops and through a point defined by the geometrical center of said third antenna loop.
4. The antenna assembly of claim 3, further comprising a lightning rod extending along said first axis from said first and second antenna loops opposite to said mounting mast.
5. The antenna assembly of claim 4, further comprising a first matching network device attached to said mounting mast, said first antenna loop and said second antenna loop.
6. The antenna assembly of claim 5, further comprising a second matching network device attached to said third antenna loop between the semi-loop elements.
7. A method for receiving wireless electronic signals, comprising the steps of:
receiving incident wireless electronic signals at a triple-loop antenna assembly, said triple-loop antenna assembly comprising:
a first antenna loop having a closed loop oriented in a first flat spatial plane;
a second antenna loop having a closed loop oriented in a second flat spatial plane, said first and second spatial planes in relative perpendicular orientation along a first axis; and
a third antenna loop having a closed loop oriented in a third flat spatial plane, said third spatial plane in relative perpendicular orientation to said first axis.
8. The method of claim 7, further comprising:
transferring said received electronic signals to signal source processing devices, said receiving and said transferring being conducted without adjusting the amplitude of said received electronic signals.
9. The method of claim 8, wherein said first antenna loop, said second antenna loop and said third antenna loop of said triple-loop antenna assembly of said receiving step each comprise a pair of semi-loop elements, with all said semi-loop elements being essentially identical.
10. The method of claim 9, wherein said triple-loop antenna assembly of said receiving step comprises a mounting mast extending along said first axis from said first and second antenna loops and through a point defined by the geometrical center of said third antenna loop.
11. The method of claim 10, wherein said triple-loop antenna assembly of said receiving step comprises a lightning rod extending along said first axis from said first and second antenna loops opposite to said mounting mast.
12. The method of claim 11, wherein said triple-loop antenna assembly of said receiving step comprises a first matching network device attached to said mounting mast, said first antenna loop and said second antenna loop.
13. The method of claim 12, wherein said triple-loop antenna assembly of said receiving step comprises a second matching network device attached to said third antenna loop between the semi-loop elements.
14. An antenna assembly, comprising:
a first antenna loop, the shape of which defines a first loop profile;
a second antenna loop, the shape of which defines said first loop profile;
a third antenna loop, the shape of which defines said first loop profile; and
wherein said first, second and third antenna loops are oriented along a central axis.
15. The antenna assembly of claim 14, wherein said first loop profile defines a substantially planar orientation.
16. The antenna assembly of claim 15, wherein said first and second antenna loops intersect each other along said central axis.
17. The antenna assembly of claim 16, wherein said third antenna loop is attached to said assembly along said central axis such that its planar orientation is perpendicular to said central axis.

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 display system, said display system comprising:
a first modulation layer;
a second modulation layer;
wherein said first modulation layer capable of transmitting a first modulated light to said second modulation layer and wherein further said second modulation layer capable of transmitting a second modulated light;
wherein further said first modulation layer is offset from said second modulation layer by a first distance;
a controller, said controller capable of receiving input image data and sending intermediate signals to said first modulation layer and said second modulation layer; and
said controller capable of mapping said input image data into said intermediate signals as a function of said first distance.
2. The display system of claim 1 wherein said first distance comprises one of a group, said group comprising: a spatial offset between said first modulation layer and said second modulation layer, a rotational offset between said first modulation layer and said second modulation layer, a temporal offset between said first modulation layer and said second modulation layer and a spatialtemporal offset between said first modulation layer and said second modulation layer.
3. The display system of claim 1 wherein said first distance comprises a spatial offset of a half pixel in a desired direction between said first modulator layer and said modulator layer.
4. The display system of claim 1 wherein said first distance comprises a spatial offset of a half pixel in both vertical and horizontal directions between said first modulator layer and said modulator layer.
5. The display system of claim 4 wherein said input image data comprises a first resolution and each of said first modulation layer and said second modulation layer comprises a second resolution.
6. The display system of claim 5 wherein said first resolution comprises substantially 4096\xd72160 pixel resolution and said second resolution comprises substantially 2048\xd71080 pixel resolution.
7. The display system of claim 1 wherein said first distance comprises a temporal offset of substantially one half of the refreshing period between said first modulator layer and said modulator layer.
8. The display system of claim 7 wherein the final rendered image is displayed at twice the temporal resolution of said input image data.
9. The display system of claim 1 wherein said first modulator layer and said second modulator layer comprise liquid crystal displays and said display system further comprises a field sequential backlight.
10. The display system of claim 9 wherein said first distance comprises a spatial offset.
11. The display system of claim 9 wherein said first distance comprises a rotational offset.
12. The display system of claim 1 wherein said first modulator layer and said second modulator layer comprise liquid crystal displays and said controller splits said input image data and subpixel renders intermediate signals to said first and said second modulator layers.
13. The display system of claim 12 wherein said subpixel layout of said first modulator layer comprises one of a group, said group comprising: stripe, quad and Pentile subpixel layouts.
14. The display system of claim 1 wherein said first distance comprises one of a group, said group comprising: a spatial offset optimized on a tradeoff of spatial and temporal resolution for a particular frame in a video sequence and a temporal offset optimized on a tradeoff of spatial and temporal resolution for a particular frame in a video sequence.
15. The display system of claim 1 wherein said first modulator layer and said second modulator layer, respectively, are one of a group, said group comprising: a first LCD panel and a second LCD panel, a first DMD and a second DMD, a first digital projector and a second digital projector and a LED array and a LCD panel.
16. A projector, comprising:
a light source configured to illuminate a first reflective modulator configured to modulate light from the light source and illuminate a second reflective modulator wherein said first reflective modulator is optically offset from said second reflective modulator; and
a controller configured to receive input image data and send intermediate signals to said first modulation layer and said second modulation layer based on an amount of said offset.
17. The projector according to claim 16, wherein said first and second modulator are replicated for each of a series of color channels within the projector such that each color channel includes 2 optically offset reflective modulators.
18. The projector according to claim 16, wherein series of color channels comprise a red channel, a green channel, and a blue channel.
19. The projector according to claim 16, wherein the light source comprises a plurality of laser light sources.
20. The projector according to any of claim 16, wherein the controller is further configured to energize the modulators according to 3D image data.

1. A method for migrating a world wide name from a first host bus adaptor to a second host bus adaptor comprising:
said first host bus adaptor receiving IO operations from a host computer by a SCSI command and transferring the command to a storage controller coupled to a storage device, said first host bus adaptor associated with said world wide name and a MAC address;
relocating said world wide name from said first host bus adaptor to said second host bus adaptor;
determining whether or not said MAC address associated with said first host bus adaptor can be relocated to said second host bus adaptor in response to said relocating of said world wide name;
relocating said MAC address from said first host bus adaptor to said second host bus adaptor if said determining is positive; and
said second host bus adaptor receiving IO operations from a host computer by a SCSI command and transferring the command to a storage controller coupled to a storage device, after said second host bus adaptor is associated with said world wide name and said MAC address.
2. The method according to claim 1,
wherein said determining is performed by whether said MAC address is shared by other services.
3. The method according to claim 1,
wherein said determining is performed by referring to a table including an information of whether the MAC address is included in a consistency group.
4. The method according to claim 1, further comprising:
establishing MAC layer connection after said relocating said MAC address from said first host bus adaptor to said second host bus adaptor;
wherein said determining is performed by whether said MAC address is shared by other services.
5. The method according to claim 4, wherein said storage devices are Hard Disk Drives and said storage controller configures said storage devices in a RAID array.
6. The method according to claim 2, wherein said world wide name and said MAC address are both unique identifiers.
7. The method according to claim 6, wherein said first and second host bus adaptor handles network operations performed under Fibre Channel protocol and Ethernet protocol, and said relocating of said world wide name is performed by NPIV technology.

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 computerized method for customer relationship capacity planning by a financial services entity, the method comprising:
receiving, by a computing device, (i) financial plan attribute data associated with a financial plan of each of a plurality of potential customers and a plurality of newly-acquired customers, wherein the financial plan attribute data relates to scope of assets and feature set of the financial plan, and (ii) personality characteristic data associated with the customer, wherein the personality characteristic data relates to a level of interaction requested by the customer and a structure of the customer’s employees;
aggregating, by the computing device, the financial plan attribute data for the plurality of potential customers and the plurality of newly-acquired customers into a binned memory structure comprising a plurality of bin storage locations, wherein the plurality of potential customers and the plurality of newly-acquired customers are grouped by at least a financial plan asset value before being allocated to a bin storage location and wherein each bin storage location contains data for customers with similar financial plan asset values;
assigning, by the computing device, an average number of hours spent in a previous time period to service existing customers having similar financial plan attribute data to the financial plan attribute data for the customers in the binned memory structure;
determining, by the computing device, a relationship complexity score associated with each of the potential customers and the plurality of newly-acquired customers based upon the financial plan attribute data, the personality characteristic data for each customer, and the average number of hours assigned to the customer’s bin storage location;
determining, by the computing device, a current workload value for a customer service manager of the financial services entity based upon the relationship complexity scores for each of a plurality of existing customers already allocated to the customer service manager, the current workload value representing a level of effort from the customer service manager to provide service to the plurality of existing customers already allocated to the customer service manager;
determining, by the computing device, a target workload value for the customer service manager based upon relationship complexity scores for each of the existing customers of the financial services entity and a past number of relationship service hours spent in a previous time period to service each of the existing customers;
allocating, by the computing device, a portion of the potential customers and the newly-acquired customers to the customer service manager based upon the current workload value and the target workload value for the customer service manager, including
determining, by the computing device, a customer satisfaction value for each existing customer already assigned to the customer service manager,
aggregating, by the computing device, the customer satisfaction value for each existing customer into a customer satisfaction score for the customer service manager,
displaying, by the computing device, a graph of a comparison between current workload values for a plurality of customer service managers and customer satisfaction scores for the plurality of customer service managers including placing one or more visual indicators on the graph to isolate data points corresponding to one or more customer service managers that have a customer satisfaction score greater than a predetermined threshold and a current workload value that is less than or equal to the target workload value, and
allocating, by the computing device, the portion of the potential customers and the newly-acquired customers to the customer service manager if the data point corresponding to the customer service manager is within one of the visual indicators on the graph; and
updating, by the computing device, an allocation table that contains information relating to the allocation of customers to customer service managers.
2. The method of claim 1, wherein the step of determining a relationship complexity score further comprises assigning, by the computing device, the customer to a cluster based upon the financial plan attribute data including the scope of assets and the feature set of the financial plan.
3. The method of claim 2, further comprising analyzing, by the computing device, the financial plan attribute data associated with each of the customers in the cluster to identify similarities among the customers.
4. The method of claim 1, wherein the step of determining a relationship complexity score further comprises assigning, by the computing device, a weight value to each of the financial plan attribute data and the personality characteristic data.
5. The method of claim 1, wherein the past number of relationship service hours is associated with a predetermined service period.
6-7. (canceled)
8. The method of claim 1, further comprising:
determining, by the computing device, a tolerance associated with the target workload value; and
allocating, by the computing device, the portion of the potential customers and the newly-acquired customers to the customer service manager if (i) the relationship complexity scores for the portion of the potential customers and the newly-acquired customers are greater than the difference between the current workload value for the customer service manager and the target workload value for the customer service manager and (ii) the difference between the current workload value for the customer service manager and the target workload value for the customer service manager is less than or equal to the tolerance.
9. (canceled)
10. The method of claim 1, further comprising determining, by the computing device, a manager performance metric based upon the customer satisfaction score for the customer service manager, the target workload value for the customer service manager, and the current workload value for the customer service manager.
11. The method of claim 1, wherein the personality characteristic data is based upon survey responses from the customer.
12. A system for customer relationship capacity planning by a financial services entity, the system comprising a computing device configured to:
receive (i) financial plan attributes associated with a financial plan of each of a plurality of potential customers and a plurality of newly-acquired customers, wherein the financial plan attributes relate to scope of assets and feature set of the financial plan, and (ii) personality characteristics associated with the customer, wherein the personality characteristics relate to a level of interaction requested by the customer and a structure of the customer’s employees;
aggregate the financial plan attribute data for the plurality of potential customers and the plurality of newly-acquired customers into a binned memory structure comprising a plurality of bin storage locations, wherein the plurality of potential customers and the plurality of newly-acquired customers are grouped by at least a financial plan asset value before being allocated to a bin storage location and wherein each bin storage location contains data for customers with similar financial plan asset values;
assign an average number of hours spent in a previous time period to service existing customers having similar financial plan attribute data to the financial plan attribute data for the customers in the binned memory structure;
determine a relationship complexity score associated with each of the potential customers and the plurality of newly-acquired customers based upon the financial plan attribute data, the personality characteristic data for each customer, and the average number of hours assigned to the customer’s bin storage location;
determine a current workload value for a customer service manager of the financial services entity based upon the relationship complexity scores for each of a plurality of existing customers already allocated to the customer service manager, the current workload value representing a level of effort from the customer service manager to provide service to the plurality of existing customers already allocated to the customer service manager;
determine a target workload value for the customer service manager based upon relationship complexity scores for each of the existing customers of the financial services entity and a past number of relationship service hours spent in a previous time period to service each of the existing customers;
allocate a portion of the potential customers and the newly-acquired customers to the customer service manager based upon the current workload value and the target workload value for the customer service manager, including
determining a customer satisfaction value for each existing customer already assigned to the customer service manager,
aggregating the customer satisfaction value for each existing customer into a customer satisfaction score for the customer service manager,
displaying a graph of a comparison between current workload values for a plurality of customer service managers and customer satisfaction scores for the plurality of customer service managers including placing one or more visual indicators on the graph to isolate data points corresponding to one or more customer service managers that have a customer satisfaction score greater than a predetermined threshold and a current workload value that is less than or equal to the target workload value, and
allocating the portion of the potential customers and the newly-acquired customers to the customer service manager if the data point corresponding to the customer service manager is within one of the visual indicators on the graph; and

update an allocation table that contains information relating to the allocation of customers to customer service managers.
13. The system of claim 12, wherein the step of determining a relationship complexity score further comprises assigning the customer to a cluster based upon the financial plan attribute data including the scope of assets and the feature set of the financial plan.
14. The system of claim 13, further comprising analyzing the financial plan attribute data associated with each of the customers in the cluster to identify similarities among the customers.
15. The system of claim 12, wherein the step of determining a relationship complexity score further comprises assigning a weight value to each of the financial plan attribute data and the personality characteristic data.
16. The system of claim 12, wherein the past number of relationship service hours is associated with a predetermined service period.
17-18. (canceled)
19. The system of claim 12, further comprising:
determining a tolerance associated with the target workload value; and
allocating the portion of the potential customers and the newly-acquired customers to the customer service manager if (i) the relationship complexity scores for the portion of the potential customers and the newly-acquired customers are greater than the difference between the current workload value for the customer service manager and the target workload value for the customer service manager and (ii) the difference between the current workload value for the customer service manager and the target workload value for the customer service manager is less than or equal to the tolerance.
20. (canceled)
21. The system of claim 12, further comprising determining a manager performance metric based upon the customer satisfaction score for the customer service manager, the target workload value for the customer service manager, and the current workload value for the customer service manager.
22. The system of claim 12, wherein the personality characteristic data is based upon survey responses from the customer.
23. A computer program product, tangibly embodied in a non-transitory computer readable storage medium, for customer relationship capacity planning by a financial services entity, the computer program product including instructions that, when executed by a processor of a computing device, cause the computing device to:
receive (i) financial plan attributes associated with a financial plan of each of a plurality of potential customers and a plurality of newly-acquired customers, wherein the financial plan attributes relate to scope of assets and feature set of the financial plan, and (ii) personality characteristics associated with the customer, wherein the personality characteristics relate to a level of interaction requested by the customer and a structure of the customer’s employees;
aggregate the financial plan attribute data for the plurality of potential customers and the plurality of newly-acquired customers into a binned memory structure comprising a plurality of bin storage locations, wherein the plurality of potential customers and the plurality of newly-acquired customers are grouped by at least a financial plan asset value before being allocated to a bin storage location and wherein each bin storage location contains data for customers with similar financial plan asset values;
assign an average number of hours spent in a previous time period to service existing customers having similar financial plan attribute data to the financial plan attribute data for the customers in the binned memory structure;
determine a relationship complexity score associated with each of the potential customers and the plurality of newly-acquired customers based upon the financial plan attribute data, the personality characteristic data for each customer, and the average number of hours assigned to the customer’s bin storage location;
determine a current workload value for a customer service manager of the financial services entity based upon the relationship complexity scores for each of a plurality of existing customers already allocated to the customer service manager, the current workload value representing a level of effort from the customer service manager to provide service to the plurality of existing customers already allocated to the customer service manager;
determine a target workload value for the customer service manager based upon relationship complexity scores for each of the existing customers of the financial services entity and a past number of relationship service hours spent in a previous time period to service each of the existing customers;
allocate a portion of the potential customers and the newly-acquired customers to the customer service manager based upon the current workload value and the target workload value for the customer service manager, including
determining a customer satisfaction value for each existing customer already assigned to the customer service manager,
aggregating the customer satisfaction value for each existing customer into a customer satisfaction score for the customer service manager,
displaying a graph of a comparison between current workload values for a plurality of customer service managers and customer satisfaction scores for the plurality of customer service managers including placing one or more visual indicators on the graph to isolate data points corresponding to one or more customer service managers that have a customer satisfaction score greater than a predetermined threshold and a current workload value that is less than or equal to the target workload value, and
allocating the portion of the potential customers and the newly-acquired customers to the customer service manager if the data point corresponding to the customer service manager is within one of the visual indicators on the graph; and

update an allocation table that contains information relating to the allocation of customers to customer service managers.