35 results about "Explicit knowledge" patented technology

The present invention is a method for integrating a file system with a RAID array that exports precise information about the arrangement of data blocks in the RAID subsystem. The file system examines this information and uses it to optimize the location of blocks as they are written to the RAID system. Thus, the system uses explicit knowledge of the underlying RAID disk layout to schedule disk allocation. The present invention uses separate current-write location (CWL) pointers for each disk in the disk array where the pointers simply advance through the disks as writes occur. The algorithm used has two primary goals. The first goal is to keep the CWL pointers as close together as possible, thereby improving RAID efficiency by writing to multiple blocks in the stripe simultaneously. The second goal is to allocate adjacent blocks in a file on the same disk, thereby improving read back performance. The present invention satisfies the first goal by always writing on the disk with the lowest CWL pointer. For the second goal, a new disk is chosen only when the algorithm starts allocating space for a new file, or when it has allocated N blocks on the same disk for a single file. A sufficient number of blocks is defined as all the buffers in a chunk of N sequential buffers in a file. The result is that CWL pointers are never more than N blocks apart on different disks, and large files have N consecutive blocks on the same disk.

A method is disclosed for integrating a file system with a RAID array that exports precise information about the arrangement of data blocks in the RAID subsystem. The file system examines this information and uses it to optimize the location of blocks as they are written to the RAID system. Thus, the system uses explicit knowledge of the underlying RAID disk layout to schedule disk allocation. The method uses separate current-write location (CWL) pointers for each disk in the disk array where the pointers simply advance through the disks as writes occur. The algorithm used has two primary goals. The first goal is to keep the CWL pointers as close together as possible, thereby improving RAID efficiency by writing to multiple blocks in the stripe simultaneously. The second goal is to allocate adjacent blocks in a file on the same disk, thereby improving read back performance. The method satisfies the first goal by always writing on the disk with the lowest CWL pointer. For the second goal, a new disks chosen only when the algorithm starts allocating space for a new file, or when it has allocated N blocks on the same disk for a single file. A sufficient number of blocks is defined as all the buffers in a chunk of N sequential buffers in a file. The result is that CWL pointers are never more than N blocks apart on different disks, and large files have N consecutive blocks on the same disk.

A system and method for knowledge management in an organization. The system and method employs an intranet site whereby members of the organization can easily and efficiently access explicit knowledge and tacit knowledge relevant to complete processes in an organization. As members of an organization communicate and collaborate with each other using the present disclosure, new knowledge or ideas or best practices may form as a result of the collaboration which then should also be captured and codified as explicit knowledge.

This document describes a protocol for reliably synchronizing states of nodes in a distributed environment through use of a Scalable Atomic Multicast (SAM) Service that ensures both atomicity and total order among messages sent to a multicast group. In addition to possessing good scalability property, this fault-tolerant protocol does not require explicit knowledge of multicast group membership, allows for non-disturbing state synchronization, and supports asynchronous non-blocking communications. According to one aspect of this invention, a dedicated sequencer is responsible solely for assigning sequence numbers to the multicast messages. The sequencer does not multicast the messages. Another aspect of the invention is the use of receiver-driven negative acknowledgments. According to third aspect, the invention supports message consolidation and garbage collection.

In certain embodiments, an information obfuscation service may be incorporated directly into the main applications processor of a portable computing device such that the applications processor and its relevant storage peripherals may be securely shared via a virtualization firmware module, avoiding the use of specialized hardware or major modifications of the operating system. The virtualizing and obfuscating storage firmware module may enable a much higher level of assurance in information-at-rest protection while using only the memory protection and privilege mode facilities inherent in common portable device applications microprocessors. The virtualizing and obfuscating storage firmware may interpose storage accesses originating from the operating system. This interposition may be performed seamlessly, without explicit knowledge of the operating system.

The invention discloses a fine-grained action detection method of a convolutional neural network based on multistage condition influence. The method comprises the steps of: establishing a convolutional neural network influenced by multistage conditions; fusing the explicit knowledge added in the visual scene with the multi-level visual features; enabling the multi-level conditional influence convolutional neural network MLCNet to take a conditional influence multi-branch convolutional neural network structure as a main trunk, generating multi-level visual features, encoding additional spatialsemantic information of human body structure and object context information as a condition, dynamically influencing feature extraction of a CNN through affine transformation and an attention mechanism, and finally fusing and modulating multi-mode features to distinguish various interactive actions; and carrying out model training on the convolutional neural network influenced by the multi-level condition, and outputting a fine-grained action detection result by the obtained model. According to the method, the proposed method is evaluated on the basis of two most common references, namely HICO-DET and V-COCO, and experimental results show that the method is superior to the existing method.

The present invention defines a mechanism for automatic synchronization of scripting variables in an action tag extension facility. Attached to each action, there is a TagExtraInfo class that describes the action. The TagExtraInfo class knows the attributes of the class, including the names of the scripting variables introduced or modified by the action. At translation time, a tag handler accesses the information from the TagExtraInfo class for each tag in a page. At run time, a pageContext object is created containing a mapping of scripting variables to values. The values are visible to the scripting code, and the scripting code can modify the values. Also, the values are accessible by the action code. The action code can modify the values or create new values and assign the values to scripting variables so that the scripting code can modify them later. Thus, the present invention allows action tags to be created without explicit knowledge of the scripting language used to create a page.

The invention relates to an ANN and ES integration-based substation alarm information analysis and decision-making system and method. The system includes a database, a reasoning module, an explanation module, an implicit knowledge extraction module, a knowledge base and a man-machine interface module, wherein the database is used for storing real-time alarm information and equipment static configuration data which are received by the system, the reasoning module coordinates and controls the reasoning process of the alarm information, the explanation module explains the reasoning result of the reasoning module, the implicit knowledge extraction module is used for explicitly expressing knowledge expressed by numerical values, the knowledge base is used for storing explicit knowledge rules and implicit knowledge contained in connection weights, and the man-machine interface module is used for converting information outputted by the explanation module and the implicit knowledge extraction module into a form which can be understood by a user and outputting the form. According to the system of the invention, numerical value operation-based reasoning in an ANN is introduced into an ES system, so that single symbol-based expression of a traditional ES can be replaced, and therefore, the implementation efficiency of the ES can be improved; different analysis strategies are taken according to different faults; and therefore, the maintainability and fault-tolerance of a whole system can be improved, and the diagnosis range of the alarm information analysis and decision-making system can be also extended.

The invention discloses a short text classification method based on multiple weak supervision integration, and the method comprises the steps: obtaining an original data set and a knowledge base, andcarrying out the data preprocessing; carrying out knowledge extraction on the preprocessed data; representing the extracted knowledge as an annotation function, and using the annotation function for data annotation; carrying out label integration through a conditional independent model; training a classification model based on a full-connection neural network; evaluating and optimizing the classification model to obtain an optimal model; and performing short text classification by utilizing the optimal model. According to the short text classification method based on multiple weak supervisionintegration, explicit knowledge and implicit knowledge are completely expressed in a mode of combining keyword matching, regular expression and remote supervision clustering; by means of probability labels generated by a label integration mechanism, automatic labeling of label-free data is achieved, the problem of data sparsity of short texts is relieved, and the problem of unbalanced classification of the short texts is effectively solved.

The invention concerns a system for producing. specific field distributions in a defined volume or region. The system comprises an array of electromagnetic field generating elements each with an integrated sensor for measuring the phase and amplitude of the current flowing in a metallic element (antenna or coil) or field in a slot based element, a measurement device to enable measurement of both phase and amplitude of the electrical signals from the sensors with sufficient dynamic range for quantification of the signal, a multi channel radio frequency power source with individually controllable amplitude and phase to excite each of the electromagnetic field generating elements, and a feedback controller enabling controlled adjustment of the amplitude and phase of the radio frequency power source based on the signals from the sensors. The system controls the outputs of a multi channel radio frequency power source such that the current in a metallic or the field in a slot based electromagnetic field generating elements provide the desired electromagnetic field values and the superposition of the fields produced by each electromagnetic field generating element produces said specific electromagnetic field distribution in said defined volume or region. As the signal picked up by each sensor is directly related to the phase and amplitude of the current or field in the associated electromagnetic field generating element and hence the electromagnetic field generated by the array elements, where the current or field measured is the sum of both the applied (from the radio frequency power source) and secondary excitations from mutual coupling and reflections hence the measured value represents the ideal excitation in the absence of mutual coupling, reflections and mismatch. The feedback controller modifies the direct excitation such that the total excitation is the ideal array excitation without coupling or mismatch. The invention implicitly corrects for the coupling and mismatch without explicit knowledge of, and calculation based on, the mutual coupling and mismatch, termed the coupling matrix, such that changes in the coupling matrix due to presence of objects or changes thereof are inherently taken into account. Additionally, by sequentially exciting each element in turn the invention can directly determine the exact mutual coupling matrix of the array even in the presence of variations in source impedance and undefined cable lengths such that initial excitation amplitudes and phases can be calculated to allow rapid adjustment to the desired values. A particular application of interest is in radio frequency hyperthermia applicator systems.

The invention provides a knowledge discovery method applicable to a power grid management system. The knowledge discovery method applicable to the power grid management system comprises the steps of selecting a decision event on which knowledge discovery is carried out, extracting data relevant to the decision event, converting the data relevant to the decision event into typical examples corresponding to a classification problem, training a decision tree classification model, and extracting knowledge corresponding to the decision event. According to the knowledge discovery method applicable to the power grid management system, implicit knowledge contained in the power grid management system is converted into explicit knowledge which can be analyzed by the system, and therefore the operation efficiency of a power system is improved and the integral intellectualization level of a power grid is improved.

The invention discloses a body based sub assembly identification method. A body knowledge framework is constructed for complex assembling by utilizing the body, implicit knowledge is inferred according to explicit knowledge, an assembling information knowledge base is developed, and a sub assembly is identified aimed at a rigid connection structure by combining a language rule base of semantic network rules. According to the invention, the consistent knowledge description framework in the assembling field is provided between heterogeneous systems, the assembling structure in the sub assembly identification level is structured, the scale of plan problems of the assembling sequence is reduced, and the assembling and manufacturing efficiency is improved.

The invention discloses a cultural relic field body construction and analysis method for smart tourism. The method comprises the following steps of using an body modeling tool Protege for constructing a cultural relic field body knowledge database of scenic spots; in the Protege, through DL-based ontology consistency detection, guaranteeing that knowledge contained in the body is not contradictory; constructing implicit attributes and reasoning rules in an cultural relic entity by adopting a semantic rule language SWRL; and finally, according to the constructed inference rule, using a Pellletinference machine to infer implicit entity attributes and relationships in the constructed cultural relic domain body knowledge database, and perfecting the cultural relic domain body knowledge database. The invention is used for smart tourism, supports construction of an improved related cultural relic body knowledge database for scenic spots. Explicit knowledge is present in original culturalrelic data. Implicit cultural relic knowledge is obtained through reasoning analysis. The invention is can be applied to a tourism search or recommendation system, and improves the intelligence of a tourism platform.

The invention discloses a natural environment effect knowledge reasoning method based on hybrid reasoning. Through the method, implicit knowledge mining can be performed on structured explicit knowledge (e.g., an ontology model), the natural environment effect and reliability design analysis form dynamic connection, and natural environment effect relevant knowledge can be applied to actual reliability design analysis work. The method comprises the steps that 1, case reasoning of the natural environment effect knowledge is constructed, including case library construction based on feature vectors and a case reasoning method based on property similarity measurement; 2, rule reasoning of the natural environment effect knowledge is constructed; and 3, hybrid reasoning rules of the natural environment effect knowledge are designed.

The invention discloses a system for middle and primary school education resource application, which is an education cloud resource sharing platform and comprises a user management unit and a resourcemanagement unit, the user management unit comprises a teacher unit, a student unit, a parent unit and a background management unit. Wherein the teacher unit, the student unit and the parent unit acquire learning resources through the resource management unit, a teacher uploads courseware through the teacher unit, the courseware comprises a method for converting implicit knowledge into explicit knowledge, and an administrator performs auditing, recommendation, offline and deletion management on the learning resources of the cloud resource sharing platform through the background management unit; and a message leaving unit and an integral unit are arranged on the resource management unit. The method for converting the implicit knowledge of the teachers into the explicit knowledge has the advantages that the teachers can share high-quality teaching resources on the sharing platform conveniently, excellent teaching experience of the teachers can be popularized conveniently, and more teachers and students are benefited.

Circuitry may monitor a processor supply voltage and pull power from the processor supply on a temporary basis when the supply voltage rises above predetermined levels. In some embodiments this may be done without explicit knowledge of a commanded supply voltage level for the processor.

The invention discloses a catalog and subject service business collaboration method based on a pre-press catalog. The catalog and subject service business collaboration method based on the pre-press catalog includes steps that (1) using a primary classification center and a secondary classification center of a pre-press catalog organization to decompose subject service tasks and judge the subject service task characteristics; (2) using a pre-press catalog working process to correspondingly match sub-tasks with a secondary subject catalog center; (3) enabling a secondary subject cataloger to confirm subject service types (explicit knowledge service or implicit knowledge service) according to subject service characteristics; (4) enabling the secondary subject cataloger to use the subject speciality to synergistically provide explicit knowledge service or implicit knowledge service according to the subject service types, wherein the service related to interdisciplinary knowledge needs to build a virtual service team; (5) enabling a superior classification department to use the pre-press catalog organization to synthesize the secondary subject service content; (6) cooperating with workers of a subject service center organization to evaluate the service content and create a catalog database for the similar subject users for referencing. The catalog and subject service business collaboration method based on the pre-press catalog smartly uses the subject characteristics to cooperate the catalogs with the subject service business.

Dedicated circuitry may monitor a processor supply voltage and provide additional power on a temporary nano-second scale basis to the processor when the supply voltage drops below predetermined levels. This may be done without explicit knowledge of a commanded supply voltage level for the processor.

An explicit knowledge conversion assistance apparatus 100 includes: a table acquisition unit 10 that acquires a table in which, for each agricultural task for a specific crop, an influence degree indicating influence that the agricultural task has on an outcome, a type of skill required for the agricultural task, and a level of a worker required for the agricultural task are defined by numerical values; an evaluation value calculation unit 20 that, for each agricultural task, calculates an evaluation value based on the values for the influence degree, the type of skill, and the level, using the table; and a priority rank setting unit 30 that sets a priority rank for each agricultural task based on the calculated evaluation value.

The invention relates to the technical field of cooperative processing, and discloses a knowledge engineering method and device based on cooperative processing, and the method comprises the following steps: S1, carrying out the collection management and classification of materials, and obtaining a quantifiable knowledge source high-efficiency management material; s2, automatically allocating tasks of the same level according to the background of the knowledge engineer, wherein the knowledge engineer of the same level cooperates to complete corresponding tasks in task management; s3, automatically extracting knowledge, and converting the implicit knowledge into explicit knowledge. According to the method and device, by adding material management, task management implementation and knowledge extraction implementation, the problems that knowledge sources are difficult to classify, knowledge engineer backgrounds are different, consequently, knowledge quality is poor, multi-place cooperation is difficult to focus on, a verification mechanism does not exist, knowledge quality is poor, knowledge management is difficult, knowledge conversion has the problems of conversion from implicit to explicit, no labeling process, monitoring of quantitative indexes and the like are effectively solved..

The invention discloses a knowledge classification and tacit knowledge explicit system in the field of knowledge management technology, including a knowledge base, on the basis of the knowledge base combined with external stimuli to generate conceptual knowledge, and to judge whether the conceptual knowledge can pass Language or written expression enables conceptual knowledge to be expressed. If conceptual knowledge can be expressed through language or writing, then conceptual knowledge is classified as explicit knowledge. If conceptual knowledge cannot be expressed through language or writing, then conceptual knowledge is classified as explicit knowledge. It is classified as tacit knowledge; the present invention classifies knowledge first by combining knowledge classification with the explicitization of tacit knowledge, which effectively shortens the learning time, enhances learning efficiency, promotes the rapid explicitation of tacit knowledge, and facilitates the establishment of transmission tacit knowledge. The platform of sexual knowledge disseminates tacit knowledge, which helps to strengthen knowledge sharing and strengthen internal cooperation.

This application relates to the technical field of data processing suitable for economic and financial purposes in the Internet industry, and specifically relates to a text data processing method, device, computer equipment and storage medium. The method includes: constructing an explicit knowledge graph, the edge weights of the explicit knowledge graph are equal; acquiring user behavior data; constructing a tacit knowledge graph based on the user's behavior data and the explicit knowledge graph; The explicit knowledge graph and the implicit knowledge graph are used to generate a target knowledge graph. By implementing the embodiment of the present application, the accuracy and efficiency of variable generation can be improved.

This application discloses a method for constructing a knowledge base of Guangcai porcelain based on semantic ontology, including: performing semantic analysis on Guangcai porcelain elements according to the pattern of Guangcai porcelain, and constructing a modeling metalanguage of semantic ontology; according to the management principle of knowledge Obtain explicit knowledge and implicit knowledge of Guangcai porcelain knowledge; divide the library corresponding to explicit knowledge and implicit knowledge into general knowledge ontology, dynamic knowledge ontology, and domain knowledge ontology; divide general knowledge ontology, dynamic knowledge ontology, and domain knowledge The ontology is fused into the Guangcai Porcelain knowledge model; based on the Guangcai Porcelain knowledge model, a semantic retrieval model is constructed for personalized learning. This application combines the semantic analysis of Guangcai porcelain elements with the modeling metalanguage of ontology, and builds a multi-dimensional semantic ontology knowledge model and semantic retrieval model of Guangcai porcelain from the perspective of knowledge application, which enhances the practicability and effectiveness of the Guangcai porcelain knowledge base. ease of use.

The invention discloses a knowledge extraction method fusing a genetic algorithm and a decision tree algorithm, and relates to the fields of classification, data mining and the like based on remote sensing images. The method comprises the steps of preparing a remote sensing classification result and classification feature data; randomly extracting a training sample set in a layered manner; initializing a genetic algorithm, constructing a decision tree through randomly generated gene combinations and samples, and simulating random features and random sample features of a random forest; screening a rule chain of an interested category for any constructed decision tree, and obtaining a classification result according to a rule; comparing the screened classification result with the existing classification result, calculating an error rate as the fitness of an evaluation function, and recording a rule chain and a corresponding error rate; and iterating the genetic algorithm to a specified number of times or meeting a convergence condition, sorting a series of rules in an ascending order according to error rates, and taking the rule with the minimum error rate as explicit knowledge. According to the method, implicit knowledge can be effectively converted into understandable explicit knowledge, and certain repeatability and robustness are achieved.

The invention discloses an unstructured equipment fault knowledge classification and knowledge extraction method. The method comprises the following steps: acquiring fault diagnosis knowledge of to-be-diagnosed equipment and classifying the fault diagnosis knowledge; based on classification of fault diagnosis knowledge, establishing a corresponding knowledge extraction method, performing first knowledge extraction, and extracting concepts, attributes and association relationships among different concept attributes to form local knowledge; and performing second knowledge extraction on the local knowledge, integrating the obtained shallow knowledge and deep knowledge into composite knowledge, forming a global knowledge base, and realizing integration and fusion of multi-source information. The method effectively solves the problem that the experience and resource reuse rate is low in the field of current equipment fault diagnosis, a large amount of unstructured fault data and experience knowledge are converted into diagnosis maintenance knowledge capable of being processed by a machine, implicit knowledge dominance and dominant knowledge standardization in fault diagnosis are achieved, and the fault diagnosis efficiency is improved. The method has the advantages of completeness, good consistency and accuracy, so that the subsequent diagnosis accuracy and the maintenance decision efficiency are improved.