30 results about "Process adaptation" patented technology

CAD (computer-aided decision) support systems, methods and tools for medical imaging are provided, which use machine learning classification for automated detection and marking of regions of interest in medical images. Machine learning methods are used for adapting / optimizing a CAD process by seamlessly incorporating physician knowledge into the CAD process using training data that is obtained during routine use of the CAD system.

Methods, systems, and computer program products for improving installation of software suites by including topological information pertaining to the run-time environment of products in the suite. A model and framework are described, where the objects of the data model include one or more preferred topologies. A template may be provided for each topology, with which an installer enters data values for customizing this topology. The approach disclosed herein enables more efficient and flexible software installation than is available in the prior art, by adapting the installation process for a particular topology of a destination run-time environment. Using the disclosed techniques, a solution builder is able for the first time to enforce or recommend the topology which is most efficient for this end solution. (For example, the solution builder may specify the types of machines which comprise a preferred run-time environment for the software products in the suite.)

In order to solve the problem that it is hard to obtain the optimized operating mode of the volatile kiln, which leads to the fluctuation of the economic index in the production process and the instability of the operation state, the invention provides a method for optimizing the operating mode of the volatile kiln by combining the least square support vector machine regression and the particle swarm optimization. The invention utilizes a multi-objective optimization method based on a particle swarm algorithm to find an optimal operation mode of a volatile kiln in order to optimize product quality, energy consumption and harmful gas emission process indexes of the volatile kiln. Aiming at the problem that the fitness value cannot be obtained in the process of optimization, according to theinput conditions and current state of the volatile kiln, the evaluation model of the working condition of the volatile kiln based on the least square support vector machine regression is establishedto predict the process index value of the volatile kiln, so as to obtain the corresponding fitness value. The method provided by the invention is favorable for improving the energy saving and emissionreduction level in the production process of the volatile kiln.

Method and apparatus for constructing an index that scales to a large number of records and provides a high transaction rate. New data structures and methods are provided to ensure that an indexing algorithm performs in a way that is natural (efficient) to the algorithm, while a non-uniform access memory device sees IO (input / output) traffic that is efficient for the memory device. One data structure, a translation table, is created that maps logical buckets as viewed by the indexing algorithm to physical buckets on the memory device. This mapping is such that write performance to non-uniform access SSD and flash devices is enhanced. Another data structure, an associative cache is used to collect buckets and write them out sequentially to the memory device as large sequential writes. Methods are used to populate the cache with buckets (of records) that are required by the indexing algorithm. Additional buckets may be read from the memory device to cache during a demand read, or by a scavenging process, to facilitate the generation of free erase blocks.

A process is defined for the rapid definition of new animation parameters for proprietary renderers. The process accommodates the peculiarities of proprietary models. In a first step, a proprietary model is animated in a standard modeler and the animated models are saved as VRML files. A converter is used to extract the meaning of a newly defined animation parameter by comparing two or more of the VRML files. Thus, the output of this process is the model and a table describing the new animation parameter. This information is read by the renderer and used whenever the animation parameter is required. The process can easily be used to generate new shapes from the original model.

In an information processor, a situation and operation storage section stores situation information, acquired by a situation acquiring section, about a situation in which an operation has been performed and operation information, received from an operation section, about the operation in an associated manner. A situation comparing section compares a current situation information piece with situation information pieces stored in the situation operation storage section. Based on situation information pieces stored in hierarchical structure in a situation hierarchy storage section, a broader concept common to two situation information pieces compared by the situation comparing section is searched for. If the broader concept of the current situation information piece agrees with that of a stored situation information piece, an operation adapting section adapts an operation procedure corresponding to stored operation information piece to the current situation, and a presentation selecting section executes the operation procedure.

The invention discloses a production line adaptation method and system based on industrial Internet of Things, and the method is realized based on a user platform, a service platform, a management platform, a sensor network platform and an object platform which interact in sequence, and the user platform generates a production line adaptation instruction according to the production line adaptation information input by a user; the service platform receives the production line adaptation instruction and sends the instruction to the management platform; the management platform disassembles the production line adaptation instruction into a plurality of production process adaptation instructions, matches the production process of the required production line with the production process of the idle production line, sends the production process adaptation instructions to the sensing network platform if the production process of the required production line is matched with the production process of the idle production line, and generates matching failure information and feeds back the matching failure information to the user platform if the production process of the required production line is not matched with the production process of the idle production line; the sensing network platform sends the production process adaptation instruction to an object platform; and the object platform receives the production process adaptation instruction to complete configuration. According to the invention, the requirement of controlling different production projects at the same time can be met, intelligent manufacturing production line deployment can be carried out according to the production projects, and the cost performance of the system can be obviously improved.

Disclosed are a vacuum pump air exhaust process simulating and testing method and a testing system. By means of a built simulating vacuum chamber, common elements in various dry-type vacuum pump application environments such as gas, liquid, electricity, magnetism, heat, dust, and corrosion are integrated, various sensors are used to perform feedback on a signal simultaneously having temperature, humidity, gas ingredient, real-time image, pressure, traffic and noise, and multiple control systems are used to perform monitoring, so as to check and improve dry-type vacuum pump air exhaust process adaptation situations. The testing system uses strict contaminant collecting and shuttling treatment, has a danger warning and automatic protecting function system, is characterized by being secure, intelligent, and green and environment-friendly, has good repeatability, and may simulate vacuum pump air exhaust process environments such as cleaning, mildly-polluted, intermediately-polluted and seriously-polluted vacuum environments comprising transfer, physical vapor deposition, chemical vapor deposition, etching, photolithography, chemical engineering, and pharmacy.

According to one aspect of the invention, it is possible to effectively prevent overheating of small parts by rapidly heating the objects to be brazed by reducing the initially large volume flow at a constant or elevated temperature. By utilizing the volume flow of the convection heater to control the effective heat transfer that takes place on the objects to be brazed, it is also possible to adapt the brazing process extremely flexibly to specific process requirements due to the regulation of the changed volume flow can be controlled very quickly and precisely.

The invention relates to a method and a system for corrective planning and optimization of processing and / or continuation of processing in technical production enterprises, in particular in the paper industry, wherein the system has a function for starting from a predetermined production plan by means of Means for processing characteristic parameters (13) and quality information (14) of at least one output product of a preceding production stage to carry out an optimization adapted to said further processing.