66 results about "Reference process" patented technology

Printing image data is converted into image data for a proofer through a print condition conversion process for converting CMYK for printing into L*a*b*, a spot color reference process for converting a spot color name into L*a*b*, a printer condition conversion process for converting L*a*b* into RGB for proof, and a composition process for synthesizing a process color with a spot color.

An apparatus and a method for automated semantic annotation of a process model having model elements named by natural language expressions, wherein said apparatus comprises at least one semantic pattern analyser which analyses the textual structure of each natural language expression on the basis of predefined semantic pattern descriptions to establish a semantic linkage between each model element to classes and instances of a reference process ontology for generating a semantically annotated process model.

Methods for configuring Channel State Information (CSI) feedback signalings, feeding back CSI, configuring data demodulation, data demodulating, configuring antenna port information, obtaining antenna port information, base stations and terminals are disclosed. The method for configuring CSI feedback signalings includes: the base station configuring N CSI measurement processes for measuring and feeding back CSI for the terminal, each of them being independently configured with one or more of the following through terminal dedicated higher layer signaling: codebook subset restriction, PMI-RI-Report, PMI feedback-enabled, RI feedback-enabled, RI feedback-enabled according to reference process, PMI feedback-enabled according to reference process, sub-band feedback-enabled according to reference process, feedback mode, resource location fed back by PUCCH corresponding to CSI measurement process, subframe offset and cycle fed back by PUCCH corresponding to CSI measurement process, and initialization sequence ID of PUCCH corresponding to CSI measurement process; the base station sending the N CSI measurement processes to the terminal.

A system and method for analyzing enterprise applications driven by business processes is provided. The method for analyzing business processes comprises the steps of obtaining process data, serializing the process data, identifying patterns in the serialized process data, creating analyzed process data based on the identified patterns, and publishing the analyzed process data. In addition, the patterns can be identified using one or more of user-defined algorithms, rules, and reference process models, and the user-defined algorithms can be plug-ins. Also, information regarding the analyzed process data can be displayed.

The invention discloses a method and a system for translating integral patent documents. The method includes acquiring phrases by a template-based or rule process or a weight process; modifying the phrases by a phrase frequency process or a modified phrase frequency process or a memory reference process or the like to finally obtain recognized noun phrases RNP; marking RNP information for the recognized noun phrases in a full text, translating the recognized noun phrases RNP and storing relevant information in a phrase memory; translating the full text sentence by sentence and directly fetching translated texts from the phrase memory without spreading phrases marked with the RNP information; sequentially outputting the translated texts according to title information of the original text after the full text is completely translated. The method and the system have the advantages that commonly used complicated noun phrases in the patent documents can be acquired, so that analysis time for sentences containing the commonly used complicated noun phrases can be shortened, the translation speed can be increased, and the translation consistency of the commonly used complicated noun phrases can be guaranteed.

The invention relates to a business process management system. The business process management system comprises an event management device, a change management device, a task scheduling device, a problem management device, a release management device and a knowledge base management device; the event management device is used for distinguishing events in a business process into corresponding processing levels according to an event preference strategy, recording processing data and event field data, and continuously storing the data in corresponding process support databases; the change management device is used for changing an event process according to a standardization strategy, testing the event process to form corresponding configuration data, and continuously storing the event process and the configuration data in the corresponding process support databases; and the problem management device is used for forming a problem simulation process according to the event field data, tracking errors, providing an event solving reference process, and continuously storing the simulation process and the result data in the corresponding process support databases. Because resources are pre-arranged and reasonably scheduled, various resources required in an operation and maintenance operation can be prepared in advance and deployed reasonably.

The invention provides a big data classification rule optimization method and device, and solves the technical problem that an existing rule customization process is lack of effective multiplexing andimprovement. The method comprises the steps of establishing a data structure of storage rules; forming a rule set for determining a theme through the data structure; and performing scene classification on the source data according to the rule set. A complete topological structure of theme classification and scene classification is formed by utilizing a data structure; parameters of different classification processes are configured in order; the complex parameter reference process of the big data classification model forms a structured classification system; classification iteration parameterdata, key enumeration data and classification process threshold adjustment intervals in the classification model can be effectively managed and reasonably configured; therefore, the big data classification model has a technical means for moderately adjusting the characteristic change of the source data, frequent adjustment of a training set and a learning process for evolution of an objective scene of a source data forming process is avoided, and the time cost and the labor cost of big data classification are reduced.

The invention provides a three-box modeling process for medium thin-wall frame castings. The process comprises the following steps: lower box modeling: lower sand box sample plates are modeled; one part of pouring systems needing embedment are placed; the lower sand box sample plates are taken out after sand loading; and two sample plates are adopted for drawing and modeling from two sides; and upper box modeling: upper sand box sample plates are modeled; paint is coated on the modeled sand boxes and sand cores; and pouring is prepared after core unloading, box closing, box pressing and box clamping. The process uses precise-positioned sample plates for modeling, so that the box overturning times and the sample taking process through box opening after modeling are reduced, meanwhile, the middle box modeling process is simplified, the number of the sand cores is reduced, in particular, the more prominent effect is achieved in a casting process of large and medium castings, and a reference process is provided for three-box modeling of the large and medium castings.

A software-based initialization method allows a user to initialize a speaker amplifier system panel rapidly and reliably. An inventive routine uses a personal computer to generate the command sequences required for a master system panel and any number of satellite and extended satellite system panels configured at user option, allowing previously determined features of the speaker amplifier system to be accommodated without reference to procedure charts or lookup tables. The improved method reduces training time and avoids error-prone manual initialization procedures.

One or more motion vectors is specified in ascending order of a difference between a pixel value at a position C in I₁ [lv] and a pixel value at a position separated, in accordance with a corresponding motion vector, from the position C in I₂ [lv] among motion vectors at a plurality of positions with reference to the position C in flow′ [lv+1]. A flow [lv] is generated using flow″[lv+1] including, as an element at the position C, one motion vector based on the one or more motion vectors, I₁ [lv], and I₂ [lv].

There is described a method for managing information to actively support the definition of new process flows, in particular in the field of micro- and nanotechnology devices typically developed in cleanroom laboratories where one or more production batches can be executed according to one reference process flow. With the use of this method it is possible to store information suited to trace the reliability and the evolution of technological recipes used into one or more production batches based on a given reference process flow. Thanks to these storing and tracing capabilities, the method addresses the selection of appropriate and reliable recipes while designing new process flows, thus favoring the definition of highly reliable new processes. The method is general and transparent with respect to different recipe types, recipe structures and technologies.

This invention relates to one electricity photo outer difference detection circuit to realize underwater sound communication, which comprises first detector, second one, first high pass filter, second filter, local oscillator, first mixture device, second device, third one, fourth one, ninety displacement device, first low pass filter, second one, third one, fourth one, data collection card, wave display device to form signal process circuit and reference process circuit.

Improvement projects in large organizations are often driven by process engineers with different backgrounds and different experiences. In such an environment is useful to support the process engineers by an effective knowledge management. Typically process knowledge of an organization is represented by a reference process having tables containing process objects with descriptions for e.g. roles, tasks and work products. By assigning annotations containing experiences gained from performed counseling projects to the respective objects of the tables, experiences made by consultants performing these projects can be added to the reference process in a formal way. This improves the reusability of knowledge and experience inherent in an organization.

The intelligent control system for the concentration of Chinese herbal medicine extracts can realize the automatic control of the concentrated processing production process of Chinese herbal medicineextracts, and ensure the stability of the process parameters in the concentrated production process. The system comprises: a master station server, a device PLC control module, a process parameter detection module and an operation control terminal; the master station server is configured to receive real-time process parameters obtained by the process parameter detection module and compare the real-time process parameters with the reference process parameters, through the device The PLC control module receives the field parameters and sends the action instruction, and the command device performs the action according to the process requirement; the process parameter detection module is used to obtain the real-time process parameters in the concentration process through the detection device disposed on the device; the operation control terminal is used according to the Chinese herbal medicine The nature of the extract sets the baseline process parameters and the corresponding equipment PLC control instructions.