Dw Associates, LLC

Lsi Logic Corporation

Lsi Corporation

Other

Netapp, Inc.

Manu Rehani

Warren L Wolf

David A Abercrombie

Kevin Cota

Robert Madge

Ramon Gonzales

Bruce Joseph Whitefield

John A Knoch

Ramkumar Vaidyanathan

A system and method for storage and retrieval of pervasive and mobile content is provided. System may be comprised of a controller and a plurality of storage devices. Plurality of storage devices may include a first storage device located in a first geographic location and a second storage device located in a second geographic location. The controller may be operably connected to each storage device. The controller may also be capable of locating a first storage device containing data and transferring the data between the first storage device and a second storage device. The second storage device may be capable of transferring data to a host, which may be operably connected to the second storage.

Storage system for pervasive and mobile content

A system can receive content. The content can be analyzed to determine the invested interest of an object in a network, and to determine the strength of a relationship in the network, the network pertaining to a particular setting. The network can then be graphed, and the information produced can be output for later use.

Real-time autonomous organization

A content is divided into tokens. Tokens can represent sounds, symbols, letters, words, sentences, paragraphs, or documents, among other possibilities. Probable measures of meaning (PMMs) are determined for each token. Given a target token, a proximity function for other tokens can be calculated, which in turn can be used to modify the PMMs for the other tokens. These modified PMMs for the other tokens can then be used in conjunction with the PMM for the target token to generate a relative measure of meaning (RMM) for the target token.

Methods and systems for measuring semantics in communications

A system can receive text. The text can be divided into various portions. One or more significance indicators can be associated with each portion of text: these significance indicators can also be received by the system. The system can then display a portion of text and the associated significance indicators to the user.

Format for displaying text analytics results

Words can be identified in text. Membership numerical values for the words can be determined in categories, or in communication types generated using those categories. The membership numerical values for the words can then be used to generate a signature. The signature can then be used to identify documents with a similar attitude.

Taxonomy and application of language analysis and processing

An enactive perception device includes the ability to receive information. The information received can be either sensory information or other data. The received information can then be converted into sensory information, which can then be provided to the user.

Enactive perception device

A method and system for optimizing the level of engagement of components within a defined ecosystem or context includes defining an initial ecosystem or context 'A' in structural, functional, operational, and conceptual terms. One or more components are identified in the defined ecosystem or context 'A'. It is determined whether all identified components account for all of the structural, functional, operational, and conceptual terms of the initial ecosystem or context &#x2018;A&#x2019;. If so, levels of disengagement and engagement are quantified for each of the identified components. For each of the identified components, one or more gaps are measured between a current component engagement level and a potential component engagement level. A report associated with the one or more identified components and the one or more measured gaps is produced and output. The report includes an organizational structure of the one or more components within a new ecosystem or context &#x2018;B&#x2019;.

Methods and systems for identifying, quantifying, analyzing, and optimizing the level of engagement of components within a defined ecosystem or context

A method and system for selectively identifying reliability risk die based on characteristics of local regions on a wafer by computing particle sensitive yield and using the particle sensitive yield to identify reliability risk die. Specifically, a bin characteristics database which identifies hard and soft bins that are sensitive to different failure mechanisms is maintained, and the bin characteristics database is used to compute particle sensitive yield. It is determined whether the particle sensitive yield of the local region around the current die is less than a pre-set threshold, and the die is downgraded if the particle sensitive yield of the local region around the current die is less than the pre-set threshold. If the particle sensitive yield of the local region around the current die is not less than the pre-set threshold, the die is not downgraded.

Method to selectively identify reliability risk die based on characteristics of local regions on the wafer

A method and system of selectively identifying at risk die based on location within the reticle. Reticle and stepping information is stored in a database. All reticle shots in a wafer and in a lot are overlaid on top of each other. The reticle and stepping information is used to calculate pass/fail or specific bin yield of reticle fields. It is determined if the yield of some reticle locations is below a statistical measure by a pre-determined threshold, and if so, all the die in that location are downgraded. The statistical value to compare against does not have to be based on the reticle alone. It can be a wafer of lot level statistic. The process can be applied at a lot or wafer level, or both.

Method to selectively identify at risk die based on location within the reticle

A method for adaptively providing parametric limits to identify defective die quantizes the die into a plurality of groups according to statistical distributions, such as intrinsic speed in one embodiment. For each quantization level, an intrinsic distribution of the parameter is derived. Adaptive screening limits are then set as a function of the intrinsic distribution. Dies are then screened according to their parametric values with respect to the adaptive limits.

Adaptive off tester screening method based on intrinsic die parametric measurements

A method for determining an effective fatal defect count based on defects in a plurality of inspected integrated circuits includes acquiring defect information related to defects in the integrated circuits, and assigning defect weight values to each of the defects based on the defect information. The defect weight values are in N number of defect weight value ranges, including a lowest and a highest defect weight value range. For each integrated circuit, a heaviest defect is determined, where the heaviest defect is the defect on each integrated circuit having a highest defect weight value. For each of the N number of defect weight value ranges, a total number T(n) of the heaviest defects having a defect weight value within a defect weight value range n is determined, where n equals one to N. A weighted total defect count T (n) is determined by weighting the total number T(n) for each of the defect weight value ranges according to a weighting function FP(n) which approaches zero at the lowest defect weight value range and approaches one at the highest defect weight value range. The effective fatal defect count is determined by summing the values of T (n) for the N number of defect weight value ranges. The defect weight values are preferably assigned to each of the defects based on defect size, where the smallest defects are in the lowest defect weight value range, and the largest defects are in the highest defect weight value range. Since the heaviest only weighting gives more weight to large defects, the effective fatal defect count is weighted more heavily toward larger defects.

Heaviest only fail potential

A computerized system for analyzing information associated with a process unit. A database contains historical information relating to previously compiled information. A secure input receives criteria from a restricted source. A computer mathematically determines a limit based upon the criteria. An open input receives the information associated with the process unit from multiple test locations. A compiler selectively adds to the database of historical information the information. The computer also selects at least a portion of the information based upon selection criteria. In addition, the computer manipulates the selected information based upon manipulation criteria. The manipulated information is compared against the limit. An output indicates a first disposition of the process unit when the manipulated information violates the limit. The output indicates a second disposition of the process unit when the manipulated information does not violate the limit.

Growing community of inventors

Portland, OR, United States of America

Manu Rehani