Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer includes a taxonomy, mapping grammatical patterns to qualities. A scanner on the computer can scan content to identify phrases that correspond to the grammatical patterns in the taxonomy. The computer can then calculate percentages of occurrences for the grammatical patterns, and also for combinations of grammatical patterns. The calculated percentages of occurrences can then be output.

Abstract: To assist student learning, an educational goal of the student can be identified and validated by a teacher. Educational landmarks that need to be reached can be identified. Educational materials relating to the educational landmarks can be processed to identify language patterns, which can then be used to classify the student and teacher into stages of the learning process and guide the student and teacher through the stages of the learning process.

Abstract: Embodiments of the invention include a system to manage software and protect it from reverse engineering and intrusion prevention. A security server stores server-side software and server-side keys for various software products. Client-side software can request the server-side software and server-side key from the security server. The security server can transmit the server-side software and server-side key to the client-side software, which can then determine whether or not to assemble and execute the complete software.

Abstract: This is a process for the production of specialty electric steel, particularly grain oriented electrical steel, and more particularly, grain oriented silicon electrical steel. The steel can be formed starting from a thin slab. The process can relate to a product formation route which enables efficient production with better yield and wider process control tolerance. The method can be employed for producing specialty electrical steel utilizes cheaper inputs, less energy, combines and overlaps production process steps, improves yields and product uniformity. This can be accomplished by making it more tolerant to a wider range of process parameters.

Abstract: 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 ‘A’. 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 ‘B’.

Abstract: 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.

Abstract: A relationship analysis engine includes a controller and a data miner to mine relationship information on a network. Sender nodes can be determined by the data miner or otherwise manually defined. Recipient nodes can be determined by the data miner or otherwise manually defined. An actionable analytics section analyzes messages that are transmitted between the sender nodes and the recipient nodes. The actionable analytics section produces historical analytics, real-time analytics, and predictive analytics associated with at least one relationship based on the analyzed transmitted messages and the mined relationship information. A relationship indicator is produced and displayed to represent the past, present, and predictive quality of relationship values associated with a relationship. The quality of relationship value can be determined, in part, by scores associated with waypoints in transitions between one quality of relationship value to another.

Abstract: 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 ‘A’. 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 ‘B’.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.