574 results about "Case base" patented technology

A document similarity detection and classification system is presented. The system employs a case-based method of classifying electronically distributed documents in which content chunks of an unclassified document are compared to the sets of content chunks comprising each of a set of previously classified sample documents in order to determine a highest level of resemblance between an unclassified document and any of a set of previously classified documents. The sample documents have been manually reviewed and annotated to distinguish document classifications and to distinguish significant content chunks from insignificant content chunks. These annotations are used in the similarity comparison process. If a significant resemblance level exceeding a predetermined threshold is detected, the classification of the most significantly resembling sample document is assigned to the unclassified document. Sample documents may be acquired to build and maintain a repository of sample documents by detecting unclassified documents that are similar to other unclassified documents and subjecting at least some similar documents to a manual review and classification process. In a preferred embodiment the invention may be used to classify email messages in support of a message filtering or classification objective.

A Software Fault Management (SFM) system for managing software faults in a managed mobile telecommunications network. The SFM system includes an Intelligent Management Information Base (I-MIB) comprising a Management Information Base (MIB) and a Knowledge Base (KB) having a functional model of the managed network and a trouble report/known faults (TR/KF) case base. The SFM system also includes an intelligent multi-agent portion having a plurality of agents which process the software faults utilizing the functional model from the I-MIB, case-based information, and other management information. The I-MIB and the intelligent multi-agent portion are compliant with Telecomunications Management Network (TMN) principles and framework. Fault management is both proactive and reactive. The SFM system is made independent of technology-specific implementations by representing the underlying switch design knowledge in a modular and changeable form which is then interpreted by the intelligent multi-agent portion. A clear separation is maintained between the generic procedural inference mechanisms and agents, and the specific and explicit models of the different network elements of a mobile telecommunications network.

There are many inventions described and illustrated herein. In one aspect, the present invention is directed to a technique of, and system for simulating, verifying, inspecting, characterizing, determining and/or evaluating the lithographic designs, techniques and/or systems, and/or individual functions performed thereby or components used therein. In one embodiment, the present invention is a system and method that accelerates lithography simulation, inspection, characterization and/or evaluation of the optical characteristics and/or properties, as well as the effects and/or interactions of lithographic systems and processing techniques. In this regard, in one embodiment, the present invention employs a lithography simulation system architecture, including application-specific hardware accelerators, and a processing technique to accelerate and facilitate verification, characterization and/or inspection of a mask design, for example, RET design, including detailed simulation and characterization of the entire lithography process to verify that the design achieves and/or provides the desired results on final wafer pattern. The system includes: (1) general purpose-type computing device(s) to perform the case-based logic having branches and inter-dependency in the data handling and (2) accelerator subsystems to perform a majority of the computation intensive tasks.

Corpus analysis methods have previously been applied to text, typically to annotated text. The invention shows how to apply corpus analysis methods to information captured in databases, where the database columns include a mixture of both structured domains and unstructured domains containing text. It uses case-based methods to automatically organize cases for periodic review. The invention can help to identify opportunities for increasing knowledge about databases. By organizing a database around common lexical, semantic, pragmatic and syntactic relationships, the invention can be used to increase the effectiveness of previous corpus analysis methods, and to apply them to a diversity of commercial applications. The invention applies contextual constraints to focus the application of linguistic methods. This invention can provide a component for medical records, enterprise databases, information retrieval, question answering systems, interactive robots, interactive appliances, linguistically competent speech recognition, speech understanding and many other useful devices and applications that require a high level of linguistic competence within operational contexts.

A carry case applied to a portable computer like a wrap. Thin straps of stretchable material hook around the front corners of a computer base section and the upper corners of a computer screen section. The case is comprised of a base section holding the computer base portion and a screen section holding the computer screen portion. An additional flap of material extends from the rear of the case base section and flips over and onto the exterior of the case screen section where it is attached with releasable fasteners. The carry case has a shoulder strap, handle and built-in typing stand.

A user-centered interface agent eases the problem of unfamiliar user interfaces on host computers. The agent operates by learning user preferences and typical behaviors and predicting the user's preferred user interface for different types of host computers. Most of the agent's learning is through observation, requiring minimal-initialization by the user. The interface agent consists of a learning program which operates on the user's primary computer, a shadow program which is installed on a Personal Digital Assistant (PDA), and a remote program which operates on host computers. The role of the PDA includes the transfer of data between the primary and remote machines, and the PDA can also be the user's primary computer. On the primary computer, the agent learns a user's preference by observing the user's actions. The user may run agent-training module or directly query and modify the agent's current state of knowledge, but the user is not forced to explicitly teach the agent. The learning algorithm may be statistical, rule-based, case-based, neural network, or employ any other technique for reasoning under uncertainty. The automated way of reaching a usable configuration has a particular advantage for individuals with disabilities who require configuration before they can use a new computer system.

The invention discloses an automatic question answering method, an automatic question answering system and a method for constructing a question answering case base. The automatic question answering method mainly includes vectorizing questions submitted by users by using the question answering case base which stores question answering cases in a vector mode to generate question vectors, searching answer knowledge point IDs with satisfactory similarities by using the question vectors and the question answering case base containing case vectors, and obtaining answer content output to users from a knowledge point document case by using the answer knowledge point IDs. According to the system and the methods, the cost can be reduced, and the working efficiency can be improved.

A radio-frequency device includes a PAA processing portion configured to control a directivity of reception of a receiver antenna device, a received-signal-strength detecting portion configured to detect a strength of the received signal received by the receiver antenna device, and a direction detecting portion configured to detect the direction toward the communication object, on the basis of a direction in which a higher one of two strength values of the received signal respectively detected in first and second maximum-reception-directivity directions of a predetermined angular difference established by the PAA processing portion is minimal. The direction detecting portion is operated based on a fact that the received signal strength is minimal at the bottom of a gain existing in an area of overlapping of two main lobes extending in the respective two directivity directions of the predetermined angular difference, so that the resolution of detection can be made higher than in the case based on the main lobe direction in which the sensitivity of communication with the radio-frequency tag is maximum. Accordingly, the direction toward the radio-frequency tag can be suitably detected.

The invention discloses a case legal regulation recommending method. The method comprises the steps of 1, obtaining judgment document information and basic case deciding legal regulation information,and processing sensitive information involved in a judgment document; 2, preprocessing the obtained judgment document to obtain structuralized information and non-structuralized information; 3, vectorizing the structuralized information, conducting sentence splitting and word splitting on the non-structuralized information, afterwards vectorizing the non-structuralized information, and jointly coding the vectorized structuralized information and the vectorized non-structuralized information to form judgment document vectors; 4, inputting the judgment document vectors to a criminal type prediction model to obtain a detailed type of a corresponding case and a legal regulation applied in the type of the case; 5, predicting a criminal type of the case to obtain a relevancy matrix of a legal provision, calculating legal regulation confidence coefficient applied in a similar case, and finally putting forward a legal provision recommending combination applied in the case based on the criminaltype and the similar case.

Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

The present invention discloses a natural language-based robot deep interacting and reasoning method and device. The method comprises 1) a speech identification step of receiving the user speech input, and processing an input signal to obtain the text information; 2) a case attribute obtaining step of carrying out the participle processing on the text obtained in the step 1), and then carrying out the similarity matching on the text after participle and the cases in a case base to extract the attributes of the cases; 3) a deep dialogue and three dimensional scene interaction step of if the intention of the user obtained according to the case attributes extracted in the step 2) is not complete, repeatedly guiding a user by combining a real-time map file obtained by a Kinect sensor until the complete intention is obtained, and then generating a solution scheme aiming at a working task of the user complete intention; a speech synthesis step of displaying the obtained solution scheme in a text format, synthesizing the speech, and feeding back to the user via a sound device. During an interaction process of the present invention, a robot and the user both use a natural language.

Embodiments of the use case-based management system enable non-technical users to manage complex integrated systems based on familiar languages and workflows, and thus reduce the costs of installing and managing these integrated systems. The dynamic use cases respond to the users' input as well as the continuous feedback of system status and health. Based on these input and feedback, the use case-based management system then subscribes to and authorizes services, manages services and resources, and configures and provisions services, resources, and devices.

In a first exemplary media implementation, one or more processor-accessible media include processor-executable instructions that, when executed, direct a device to perform actions including: comparing an accuracy indicator to at least one threshold, the accuracy indicator corresponding to a reference macroblock selected for a target macroblock; ascertaining a refinement case from multiple refinement cases based on the comparing, each refinement case of the multiple refinement cases defining multiple test points in relation to the reference macroblock; and analyzing the ascertained refinement case with regard to the target macroblock. In a second exemplary media implementation, one or more media include processor-executable instructions that, when executed, direct a device to perform actions including: determining if two chrominance sums have magnitudes that are each less than a first product and four luminance sums have magnitudes that are each less than a second product; and if so, forwarding all zero values for a macroblock.

The embodiment of the invention provides a method and a system for diagnosing fault. The method for diagnosing fault comprises the following steps: obtaining the fault data of each service; generating a fault case base according to the fault data of the service; diagnosing an monitored system on line according to the fault case which is obtained from the fault case base and corresponds to the abnormal operation of the monitored system when the monitored system being subjected to the abnormality, wherein the abnormality of the monitored system refers to the fault or the potential fault of the monitored system. The invention solves the problem existing in the prior art that the network management system for the mobile service operation support system can not monitor the mobile service processing level. The invention does not need the manual fault diagnosing and can realize the accurate positioning of the fault and improve the fault diagnosing speed and efficiency.

The invention discloses a fusion reasoning system and a fusion reasoning method for intelligent tags of news programs, relates to the technical field of news program tags. the intelligent news programtag identification system comprises an intelligent identification actuator, a historical tag library, an internal knowledge base, an internal case library and an analysis reasoner; the intelligent identification actuator executes identification tasks of various news program materials, and basic tag extraction is conducted on video images, voice and text information; Wherein the historical tag library stores materials, metadata and tags; The internal knowledge base is used for supplementing an intelligent recognition result and providing more information for subsequent analysis and reasoning;Wherein the internal case library is a case set established based on a historical tag library; According to the news program tag automatic fusion reasoning system and method, the intelligent recognition method is comprehensively utilized, the internal knowledge base and the internal case base are established based on the historical tag base, automatic fusion reasoning of news program tags is completed, and classification is accurate and efficient.

The invention discloses a heart disease intelligent diagnostic method based on case reasoning. The heart disease intelligent diagnostic method based on case reasoning is characterized in that: using various check indexes of a patient as a case to conduct searching in a case base, fining out a record which is most similar to the case as a diagnostic result; and meanwhile using water filling theory to obtain an allocation scheme of various characteristic attribute weights of the case, and rejecting redundant attributes according to the attribute weights, and thereby improving accuracy and speed of the heart disease diagnostic result. The heart disease intelligent diagnostic method comprises the following steps: defining a case expression form; constructing a history case set; using the water filling theory to conduct allocation of the characteristic attribute weights; extracting characteristic attributes according to the allocation result of the attribute weights; calculating similarity of cases; reusing the matched cases; and amending the cases. The heart disease intelligent diagnostic method based on case reasoning improves searching strategies of the case reasoning, conducts attribute reduction link through optimal allocation of the characteristic attribute weights of the cases, and ensures diagnosis accuracy and speed.

The invention relates to a method and a system based on a test case generated automatically by a unified modeling language activity diagram, wherein, the method comprises steps as follows: the unified modeling language activity diagram is converted to a set consisting of a node set and an edge set; the unified modeling language activity diagram is used to describe the operating procedure of a software to be tested; a path from a start node to a leaf node is extracted from the node set to get a path set; and the edge node and the path node in the set are used as the test case. The system comprises a converting module, an extracting module and a generating module. By adopting the scheme, the operation procedure of the software to be tested is shown by the UML activity diagram, the UML activity diagram is converted to the set, and the test case is generated by the combination of the scheme and a scene, therefore, the problem that the test case can't be generated through the combination of the prior art and the scene is solved.

The invention discloses an anti-bump carrying case based on a computer main. The anti-bump carrying case comprises a shell; the bottom of the inner wall of the shell is fixedly connected with support legs; a vibration reducing device is fixedly connected to the top ends of the support legs; two sides of the bottom of the inner wall of the shell are fixedly connected with buffer devices; a cover is movably connected to the top of the shell; a handle is fixedly connected to the top of the cover; the bottom of the cover is slidingly connected with a fixing device; the buffer devices comprise sleeves; and the bottom ends of the sleeves are fixedly connected with the bottom of the inner wall of the shell. The anti-bump carrying case relates to the technical field of computers. The anti-bump carrying case based on the computer main changes the problem of part fall caused by bump in the main transportation process due to complicated internal structure of the main and most tiny precise parts in the main, guarantees the performances of the computers, prevents damage to the main, and guarantees the safety protection of the main in the carrying process.

The invention relates to an intelligent dispatching system and method for a multi-AGV (Automatic Guided Vehicle) of an automatic container terminal. The two-stage distribution control dispatching mode of an operation plan and dispatching decoupling separation is realized through a container terminal management information system and an AGV group intelligent dispatching system. A knowledge learning method is used; an AGV dispatching knowledge management module is built; an AGV task case base, a path case base and a knowledge base are continuously enriched and optimized; and the AGV self learning, self organization and self decision capability are improved. Through the rolling prediction on traffic flow in a road network space of the automatic container terminal and the calling of the knowledge base, the AGV task case base and the path case base, the collaborative optimization is performed on the task dispatching and the path planning of AGVs. The invention provides an AGV path planning strategy including the optional path and free path mode; the path plan in the conventional task can be ensured; and the fast response measures can also be provided for emergency tasks.

The invention discloses a data flow based car fault diagnosis method which comprises the steps of: analyzing real-time car fault data deeply by a data flow arithmetic to obtain useful information in a car fault data flow and storing the analyzed results in a temporary car fault case base to be used as the sources of a car fault knowledge base; updating the car fault knowledge base by using the temporary car fault case base and realizing the timely update of the car fault knowledge base by a similarity matching computation; and aiming at the characteristics of a new problem, acquiring information of which the characteristics are most similar to the characteristics of the new car fault problem by searching information or cases in the car fault knowledge base or the temporary car fault case base so as to solve and diagnose the problem.