Liping Zhang

A method and system for true product word recognition using a computing device. The method includes: obtaining title words from titles of products; determining word vectors based on a word matrix, where the word matrix is constructed based on a number of cooccurrence of each of the title words and all the other title words; determining title vectors based on a title matrix, where the title matrix is constructed based on the number of cooccurrence of each of the title words and all the other… Show more

A method and system for true product word recognition using a computing device. The method includes: obtaining title words from titles of products; determining word vectors based on a word matrix, where the word matrix is constructed based on a number of cooccurrence of each of the title words and all the other title words; determining title vectors based on a title matrix, where the title matrix is constructed based on the number of cooccurrence of each of the title words and all the other title words, and the title words in each of the titles; calculating scores for the title words in corresponding one of the titles based on the corresponding word vector and title vector; and recognizing true product words of the corresponding one of the titles based on the scores. Show less

The method and system that true product word identifies is carried out using equipment is calculated.This method comprises: obtaining heading from product title；Word-based matrix determines term vector, and wherein word matrix is constructed based on the number of each heading and every other heading occurred jointly；Title vector is determined based on title matrix, and wherein title matrix is the heading in the number occurred jointly based on each heading and every other heading and each… Show more

The method and system that true product word identifies is carried out using equipment is calculated.This method comprises: obtaining heading from product title；Word-based matrix determines term vector, and wherein word matrix is constructed based on the number of each heading and every other heading occurred jointly；Title vector is determined based on title matrix, and wherein title matrix is the heading in the number occurred jointly based on each heading and every other heading and each title to construct；Based on corresponding term vector and title vector, the score of the heading in corresponding title is calculated；And it is based on the score, identify the true product word of the corresponding title. Show less

A method, system, and/or computer program product provides cluster management for a shared nothing cluster, wherein the shared nothing cluster comprises one or more data nodes each having an operating system and applications running thereon, and wherein the data nodes in the shared nothing cluster do not share data storage devices. One or more processors collects cluster configuration information associated with the data nodes. A tabulation image is obtained based on the collected cluster… Show more

A method, system, and/or computer program product provides cluster management for a shared nothing cluster, wherein the shared nothing cluster comprises one or more data nodes each having an operating system and applications running thereon, and wherein the data nodes in the shared nothing cluster do not share data storage devices. One or more processors collects cluster configuration information associated with the data nodes. A tabulation image is obtained based on the collected cluster configuration information. In response to determining that operating system breakdowns occurred on one or more of the data nodes, the obtained tabulation image is sent to faulted data nodes to enable the recovery of their operating systems. Show less

Embodiments of apparatuses and methods for scaling up cluster nodes are described. In some embodiments, an apparatus may include a detector to detect hardware information of a node to be added to a domain of a computing cluster and a domain application configurator to generate a delta domain template for the node from a common domain template of the computing cluster and information of the domain. In some embodiments, the delta domain template may include information to provision applications… Show more

Embodiments of apparatuses and methods for scaling up cluster nodes are described. In some embodiments, an apparatus may include a detector to detect hardware information of a node to be added to a domain of a computing cluster and a domain application configurator to generate a delta domain template for the node from a common domain template of the computing cluster and information of the domain. In some embodiments, the delta domain template may include information to provision applications required by the domain to the node. Other embodiments may be described and/or claimed. Show less

The invention provides a cluster management method and equipment for a shared-nothing cluster. The shared-nothing cluster comprises one or more data nodes running an operating system and applications. The cluster management method includes: collecting cluster configuration information related to the data nodes; acquiring a tabulation image based on the collected cluster configuration information; responding to determining that the operating system on the data nodes fails, and sending the… Show more

The invention provides a cluster management method and equipment for a shared-nothing cluster. The shared-nothing cluster comprises one or more data nodes running an operating system and applications. The cluster management method includes: collecting cluster configuration information related to the data nodes; acquiring a tabulation image based on the collected cluster configuration information; responding to determining that the operating system on the data nodes fails, and sending the acquired tabulation image to the data nodes at failure so as to restore the operating system. By the aid of the method and equipment, the failure data nodes in the shared-nothing cluster can be restored quickly and effectively without interrupting the cluster applications or rebalancing cluster data. Show less

The invention relates to a built-in integration development environment technique, in particular to a conversion method which realizes the conversion from a UML model to an SmartC model. The conversion method of the invention from the UML model to the SmartC model comprises the steps as follows: (1) object pictures and state pictures in the UML model are analysed and OSEK standard API in executable codes of state and transfer conditions in the UML model state pictures is extracted; (2)… Show more

The invention relates to a built-in integration development environment technique, in particular to a conversion method which realizes the conversion from a UML model to an SmartC model. The conversion method of the invention from the UML model to the SmartC model comprises the steps as follows: (1) object pictures and state pictures in the UML model are analysed and OSEK standard API in executable codes of state and transfer conditions in the UML model state pictures is extracted; (2) functions in the OSEK standard API which relates to the interaction between different entities are analysed and taken as a standard; the UML state picture is converted into the SmartC model which supports the OSEK standard. The conversion method of the invention analyses the total characteristic of the UML model, extracts two models: the object picture and the state picture out of all model pictures so as to carry out the model conversion and does not need to analyse all models in the UML. As the SmartCis good at describing the automobile electron field and the UML language is good at describing the general modelling process, the appearance of the model conversion strategy solves the problem of filed refinement of the modelling process in the automobile electron field. Show less

The invention discloses an intelligent extraction method on the basis of model information. The invention aims at SmartC four-layer layering modelled models in the SmartOSEK IDE integration development environment, intelligently extracts the SmartC model information and the SmartC model layering logic structure information, and automatically generates a file. The intelligent extraction method mainly comprises the following steps: the intelligent extraction of the model picture information, the… Show more

The invention discloses an intelligent extraction method on the basis of model information. The invention aims at SmartC four-layer layering modelled models in the SmartOSEK IDE integration development environment, intelligently extracts the SmartC model information and the SmartC model layering logic structure information, and automatically generates a file. The intelligent extraction method mainly comprises the following steps: the intelligent extraction of the model picture information, the intelligent extraction of the model description information, the intelligent extraction of the modelproperty information, intelligent extraction of substrate model algorithmic function information, the intelligent extraction of the model layering logic structure information and positioning and embedding of the model information file, generation of the model information file, etc. The intelligent extraction method of the invention can sufficiently describe the meaning of SmartC four-layer modelling and the design contents of each layer. The generated file has standard structure and clear contents, expresses the layering relationship of the model better and effectively improves the high-effectiveness and automation characteristic of the file compiling. Show less

Registered Computer Software Copyright as 1st author

Registered Computer Software Copyright as 1st author

The invention discloses a code automatic converting method for converting the layering system description language SmartC to C code. The method comprise the following steps of: analyzing SmartC code according to a specific analytical method to generate a layering intermediate data structure; and then generating the C code from the intermediate data structure according to the specific generating method. The invention sets the layering intermediate data structure to separate the analyzing stage… Show more

The invention discloses a code automatic converting method for converting the layering system description language SmartC to C code. The method comprise the following steps of: analyzing SmartC code according to a specific analytical method to generate a layering intermediate data structure; and then generating the C code from the intermediate data structure according to the specific generating method. The invention sets the layering intermediate data structure to separate the analyzing stage from the generating stage according to the modules and increase the module reuse rate; the provided analyzing method and the generating method fit for converting other layering languages to the C code. The automatic converting mechanism makes SmartC language into a real programming language, which can greatly simplify the software development in the automobile electronic field. Show less

Registered Computer Software Copyright as 1st author