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2658 results about "System identification" patented technology

The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction.

Correcting for changed client machine hardware when using a server-based operating system

Methods and systems for adjusting an operating system configuration according to changes in hardware components of a client computer. The adjusted operating system can boot on the client computer regardless of changes in the hardware configuration of the client computer since it was last connected to a network server. Before the operating system boots, a preliminary connection is established between the client computer and the server. During the preliminary connection, the system identifies hardware components that are new and that must be supported by the operating system for bootup to occur. In particular, the server sends information relating to the previous client hardware configuration to the client computer. The client computer compares its current hardware configuration to the previous hardware configuration information, thereby identifying its new hardware components. Information identifying the new hardware components is sent to the server. The server locates operating system components or device drivers that support the new hardware components and stores them in a specified repository at the server. The operating system, which is now reconfigured to support the current client hardware components, is downloaded to the client computer and boots thereon.
Owner:MICROSOFT TECH LICENSING LLC

Method and apparatus for automated selection, organization, and recommendation of items based on user preference topography

A computer system representing user preferences in an N-dimensional preference topography and making recommendations based on such topography. The preference topography depicts user ratings of products in a recommendation database. Each product is represented by a product vector associated with N objectively measurable characteristics. The user rating of a product, therefore, represents the user's preference for the particular combination of the N objectively measurable characteristics making up the product. In making a recommendation of products to the user, the system assigns a rating to each product in the recommendation database based on the preference topography. The system then selects a plurality of maximally unique choices from the rated products for recommendation to the user. These maximally unique choices are calculated to be as diverse from one another as possible but still to the user's liking. In another embodiment of the invention, the system identifies portions of the N-dimensional rating space for which the user has indicated a positive association (a positive preference cluster) or a negative association (a negative preference cluster). In making a recommendation of a potential product, the system determines the similarities of products that fall in the positive preference cluster with the potential product. The system also takes into account the products that fall in the nearest negative cluster and determines the similarities with such products and the potential product. In one particular aspect of the invention, the system presents a virtual character for making the usage of the system more user-friendly and interesting. The virtual character is programmed to interact with the user for obtaining user ratings of products and thus determining where the user preferences lie.
Owner:MUSICIP CORP

Controller for Non-Volatile Memories and Methods of Operating the Memory Controller

A non-volatile memory system (3) is proposed consisting of a first non-volatile flash memory (5) having a plurality of blocks, each block having a plurality of pages, each block being erasable and each page being programmable, and a second non-volatile random access memory (23) having a plurality of randomly accessible bytes. The second non-volatile memory (23) stores data for mapping logical blocks to physical blocks and status information of logical blocks. Each logical block has an associated physical page pointer stored in the second non-volatile memory (23) that identifies the next free physical page of the mapped physical block to be written. The page pointer is incremented after every page write to the physical block, allowing all physical pages to be fully utilized for page writes. Furthermore, a method of writing and reading data is disclosed whereby the most recently written physical page associated with a logical address is identifiable by the memory system without programming flags into superseded pages, or recording time stamp values in any physical page or block of the first non-volatile memory (5). Furthermore, a method is provided for a logical block to be mapped to two physical blocks instead of one to provide additional space for page writes, resulting in reduction in page copy operations, thereby increasing the performance of the system.
Owner:CHANG CHEE KENG

Method and apparatus for automated selection, organization, and recommendation of items based on user preference topography

A computer system representing user preferences in an N-dimensional preference topography and making recommendations based on such topography. The preference topography depicts user ratings of products in a recommendation database. Each product is represented by a product vector associated with N objectively measurable characteristics. The user rating of a product, therefore, represents the user's preference for the particular combination of the N objectively measurable characteristics making up the product. In making a recommendation of products to the user, the system assigns a rating to each product in the recommendation database based on the preference topography. The system then selects a plurality of maximally unique choices from the rated products for recommendation to the user. These maximally unique choices are calculated to be as diverse from one another as possible but still to the user's liking. In another embodiment of the invention, the system identifies portions of the N-dimensional rating space for which the user has indicated a positive association (a positive preference cluster) or a negative association (a negative preference cluster). In making a recommendation of a potential product, the system determines the similarities of products that fall in the positive preference cluster with the potential product. The system also takes into account the products that fall in the nearest negative cluster and determines the similarities with such products and the potential product. In one particular aspect of the invention, the system presents a virtual character for making the usage of the system more user-friendly and interesting. The virtual character is programmed to interact with the user for obtaining user ratings of products and thus determining where the user preferences lie.
Owner:MUSICIP CORP
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