Abstract: A computer-enabled method of learning the behavior of a program. A processor can execute a target program during a learning interval while varying a plurality of stimuli provided to the target program so as to produce a multiplicity of different sequences of events which differ in combinations of types of events in respective sequences, orders in which the types of events occur in respective sequences, or in the combinations and in the orders in which the types of events occur. The multiplicity of event sequences can be recorded, and a second program can be executed by a processor to: determine a plurality of clusters based on similarities between the event sequences in their entirety; and determine a plurality of signatures corresponding to the plurality of clusters. Each signature can be the longest common subsequence of all sequences in the respective cluster and thus representative of the cluster.

Abstract: A computer-enabled method of learning the behavior of a program. A processor can execute a target program during a learning interval while varying a plurality of stimuli provided to the target program so as to produce a multiplicity of different sequences of events which differ in combinations of types of events in respective sequences, orders in which the types of events occur in respective sequences, or in the combinations and in the orders in which the types of events occur. The multiplicity of event sequences can be recorded, and a second program can be executed by a processor to: determine a plurality of clusters based on similarities between the event sequences in their entirety; and determine a plurality of signatures corresponding to the plurality of clusters. Each signature can be the longest common subsequence of all sequences in the respective cluster and thus representative of the cluster.

Abstract: Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.

Abstract: A consensus-based knowledge validation and analysis system provides a way to increase use of collaboration tools among panels of experts by providing a system for analyzing and validating the responses of such experts to a set of questions. The system uses a set of response data input by a panel of experts with respect to a particular subject matter formatted in accordance with a data model as input. The response data set is used to estimate an empirical point estimate matrix indicative of the amount of agreement in the responses on all items between the panelists. The empirical point estimate matrix is used to estimate the saliency of the subject matter to panelists, the competency of each panelist and a consensus model of correct answers is based on the estimated competency of each panelist and the of responses for each item in the response data set. This consensus model is used to generate a knowledge map to aid visualization of the consensus data and encourage further collaboration and consensus building.

Abstract: The two forces used are gravity and the atmospheric pressure. Gravity initiates the power phase by causing the water to fall from the elevated sealed water tank 10 to turn the turbine 32. The water lowers to 33.95 feet above ground level within the sealed water tank 10. A vacuum forms above the water. The water flows from the turbine into the elevated open water tank 46 to the level whereby its water outlet valve 26B opens. This affords a passage back into the elevated sealed water tank 10, through the check valve 40 and the manual shut-off valve 42. This initiates the recovery phase. The atmospheric pressure of 14.7 psi on the elevated open water tank 46 forces the water back into the sealed water tank 10 to relieve the vacuum. This pressure is capable to move the water up to 33.95 feet. Here it has only to move it up to 26.95 feet, realizing a 20.6 percent reserve force. With the water level again attaining maximum height in the sealed water tank 10, it is again released to repeat the cycle.