40 results about "Product issues" patented technology

Fact collection for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Static facts may be collected into a fact repository. A fact collector may be used to collect facts not found in the fact repository but needed to execute checks on the knowledge automation engine.

A check for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts.

A check for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts.

A system for creating and editing checks for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a client of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a client address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Statistics on check execution results may be accumulated to provide additional information on products through their life cycle.

A system for creating and editing checks for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Checks may be created and edited using a standard interface.

A novel and non-obvious method, system and apparatus for tuning order configurator performance by dynamic integration of manufacturing and field feedback information. A method for dynamically tuning order configurator behavior by using product issue data can include collecting product issue data for a manufactured product, the product issue data including performance and attribute information of a part of the manufactured product, analyzing the collected product issue data to identify a problematic part, and, modifying the order configurator using the analyzed product issue data.

A knowledge automation engine used to detect product issues on products. A knowledge automation engine may evaluate a check against one or more facts to detect a product issue. Facts used by the knowledge automation engine may include product configuration facts. A check may include one or more rules and reference one or more product check matrixes of facts, such as, but not limited to, identifiers for product packages and patches to be used by a check. As packages and / or patches become available for a product, they may be added to a product check matrix for the product. The packages and patches may be added to the database using predefined associations. The check may use the product check matrix to update packages and / or patches (including adding new packages / patches and removing old packages / patches) on a product accessible by the knowledge automation engine.

Fact collection for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Static facts may be collected into a fact repository. A fact collector may be used to collect facts not found in the fact repository but needed to execute checks on the knowledge automation engine.

A system for creating and editing checks for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Checks may be created and edited using a standard interface.

The invention discloses an insurance product development method. The method includes the following steps: upon receiving a product development command, based on a selection command that is triggered by a user, acquiring a universal field and a configuration field template; upon receiving a field configuration command, configuring the configuration field template, acquiring a corresponding configuration field; based on the universal field and the configuration field, creating a product basic page, and upon receiving a page attribute setting command, based on the page attribute setting command,setting the attributes of the product basic page, acquiring a product issuing page; and associating the product issuing page and a corresponding issuing server, completing the development of an insurance product. The invention also discloses an insurance product development apparatus, and device and a computer readable storage medium. According to the invention, the method herein can design an insurance product that meets requirements in a faster and easier manner, can achieve the issuance of new insurance products without IT backend interference, and can increase publish efficiency of new products.

A database-aided circuit design system and method therefor is provided, which can be utilized to detect problems of the product in an early design stage through the early design stage error-detection function, by making use of an artificial intelligence simulation database, storing the determination criterions for the optimized circuits, searching for failure generating factors and correcting the errors relative to the problems generated, based on the post production stage error-diagnosis function, in cooperation with the records stored in the artificial intelligence simulation database after the product has been actually produced, thus achieving the reduction of the product design and development costs, shortening the product market delivery time, and raising the competitiveness of the product.

A database-aided circuit design system and method therefor is provided, which can be utilized to detect problems of the product in an early design stage through the early design stage error-detection function, by making use of an artificial intelligence simulation database, storing the determination criterions for the optimized circuits, searching for failure generating factors and correcting the errors relative to the problems generated, based on the post production stage error-diagnosis function, in cooperation with the records stored in the artificial intelligence simulation database after the product has been actually produced, thus achieving the reduction of the product design and development costs, shortening the product market delivery time, and raising the competitiveness of the product.

The invention discloses a loan product recommendation method, device and equipment and a storage medium, and the method comprises the steps of obtaining a loan product question according to a requesttype in a loan product recommendation request sent by a client, sending the loan product question to the client, and obtaining a target answer corresponding to the loan product question; analyzing andprocessing the target answer to obtain a product purchase demand corresponding to the target answer; matching the product purchase demand with product parameters in a preset multi-dimensional data table to obtain a to-be-recommended loan product corresponding to the successfully matched product parameters; obtaining a historical concerned product corresponding to the client identifier, counting the historical concerned product, obtaining product concerned information, and obtaining a target loan product based on the product concerned information and the to-be-recommended loan product; and obtaining the recommendation priority of the target loan product, and determining a final loan product according to the recommendation priority, so as to solve the problems of inaccurate loan product recommendation and low efficiency.

The invention provides an online education product transaction method, which comprises the following steps of: 1, establishing an online education product transaction platform; 2, making a provider perform online courseware making, online live broadcast or online education product issuing by using the online education product transaction platform; and 3, making a user perform online purchase, online payment and online use of the education product on the online education product transaction platform. The invention further provides an online education product transaction platform. According to the online education product transaction method and platform provided by the invention, the quantity of service objects of the transaction platform is not limited, the production difficulty and selling cost of the online education product are lowered, two parties of the education product are allowed to perform free transaction and online payment, the effectiveness and reality of the education product and service are more real, and the purchasing experience of a user is enhanced.

A system for creating and editing checks for a knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a client of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a client address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts. Statistics on check execution results may be accumulated to provide additional information on products through their life cycle.

A method, computer program product, and system for collecting technical support data associated with at least one of a plurality of products, thus generating collected technical support data. The collected technical support data is analyzed to identify one or more product issues within the collected data. One or more product recommendations is generated concerning potential solutions to the one or more identified issues in response to the analysis of the collected technical data.

The invention discloses an automatic printing and managing system for a bar code. The automatic printing and managing system is characterized by comprising a database server, a terminal computer in data connection with the database server, a program burner in data connection with the terminal computer and a bar code printer in data connection with the program burner. After the burning program of the program burner is ended, the bar code printer can automatically print a version bar code corresponding to the program; the terminal computer is provided with a bar code creating module; and the created bar code can integrally display material information. The automatic printing and managing system disclosed by the invention has the benefits that the bar code printer is connected with a board card burner and can automatically print the bar code after the burning program is ended, so that the error rate of the manual bar code printing is greatly reduced and the production efficiency is improved; the material information is complete by using the integrated relationship between the bar code and warehouse management as well as material creation and maintenance; and material retrieval can be realized according to bar codes and names of products, a software version number and attribution places and facilitates the trace about the problems of the product.

The invention discloses a terminal shopping guide intelligent incentive method comprising one or two of the consumer incentive step and the shopping guide incentive step. The shopping guide incentivestep comprises the steps that S11. the merchant and the shopping guide are registered in a terminal shopping guide incentive system; S12. a unique incentive two-dimensional code is set for each product of the merchant or the unique incentive two-dimensional code and a unique shopping guide two-dimensional code correlated to the incentive two-dimensional code are set; S13. if the product is only provided with the incentive two-dimensional code, the shopping guide marks the incentive two-dimensional code; or the shopping guide marks the shopping guide two-dimensional code; and S14. if the incentive two-dimensional code marked by the shopping guide or the incentive two-dimensional code corresponding to the shopping guide two-dimensional code marked by the shopping guide is scanned by the consumer, the merchant corresponding to the product issues the incentive to the shopping guide through the terminal shopping guide incentive system. The merchant is enabled to directly and timely issue the incentive to the shopping guide so that the enthusiasm of the shopping guide for product marketing can be enhanced.

A method and system for cost effectively converting a feedstock using thermal plasma, or other styles of gassifiers, into to a feedwater energy transfer system. The feedstock can be any organic material, or fossil fuel. The energy transferred in the feedwater is converted into steam which is then injected into the low turbine of a combined cycle power plant. Heat is extracted from gas product issued by a gassifier and delivered to a power plant via its feedwater system. The gassifier is a plasma gassifier and the gas product is syngas. In a further embodiment, prior to performing the step of extracting heat energy, there is provided the further step of combusting the syngas in an afterburner. An air flow, and / or EGR flow is provided to the afterburner at a rate that is varied in response to an operating characteristic of the afterburner. The air flow to the afterburner is heated.

A method and arrangement for assisting in correct diagnosis of a problem exhibited by a product having at least one component couples a database to various organizations within an entity responsible for design, manufacture and / or distribution of the product. An observed problem with the product is associated with a component part of the product and a description of the problem and a proposed hint for diagnosing and correcting the problem is forwarded to the database. The database then distributes the hint to a team of component specialists who may refine the hint. An approved hint file is then downloaded to parts ordering and catalog systems such that the hint is displayed whenever the component part is ordered and / or catalog inquired.

A method and system for converting a feedstock using thermal plasma or other gassifier, into a feedwater or make up water energy transfer system. Feedstock is any organic material or fossil fuel. The energy transferred in the feedwater or make N up water is used in any Rankine or other steam process, or any process that requires heat. Heat is extracted from a gas product issued by a gassifier and is delivered to a power plant via its feedwater system or make up water system. Preferably, the gassifier is a plasma gassifier and the gas product is syngas that is combusted in an afterburner. A heated air flow and / or EGR flow is provided the afterburner at a variable flow rate that is responsive an operating characteristic of the afterburner.

The invention relates to a product quality prediction method and system in a production and manufacturing process, a medium and equipment. The method comprises the following steps: carrying out data preprocessing on acquired sample data; determining a key process; creating a key process prediction model for the key process; training and correcting the key process prediction model; performing key process prediction by utilizing the key process prediction model to obtain a prediction result of the key process; creating a whole-process prediction model of the whole process according to the prediction result of the key process; training and correcting the whole process prediction model; and predicting the product quality by using the whole-process prediction model. According to the method, thekey process in the product manufacturing process is predicted, and the prediction result of the key process is used as an input quantity for predicting the overall product quality, so that the accuracy of product quality prediction is improved, and the production and manufacturing process is controllable; and the product problem source can be traced conveniently, so that the technological processis improved.

A knowledge automation engine to use in detecting product issues on products. A knowledge automation engine may evaluate a check against a fact to detect a product issue on a product and provide a user of the product remediation information. A check may contain a product issue description, a rule to evaluate against a fact in order to detect the product issue, and remediation information to help a user address the product issue if the product issue is detected on the product. Product issues may include product installation validation and known product bugs. Facts used by the knowledge automation engine may include product configuration facts.

A novel and non-obvious method, system and apparatus for tuning order configurator performance by dynamic integration of manufacturing and field feedback information. A method for dynamically tuning order configurator behavior by using product issue data can include collecting product issue data for a manufactured product, the product issue data including performance and attribute information of a part of the manufactured product, analyzing the collected product issue data to identify a problematic part, and, modifying the order configurator using the analyzed product issue data.

Aiming at a defect that the insufficient consideration to the particularity of a local environment causes a problem that predicted data is liable to have an error in a conventional precipitation prediction method, the invention provides a precipitation meteorological message data error correction method, and the method is used for correcting the precipitation message data Ym, issued by a meteorological station to the public, of a prediction day on a prediction start day, and obtaining a precipitation correction value Yj of the prediction data. The invention also provides a glaze landscape prediction method which is implemented through the above method, and the glaze landscape prediction method is used for predicting on the prediction start day the probability that glaze happens on the prediction day, and correcting a temperature value in the prediction method. The glaze landscape prediction method provided by the invention can be used in a tourism attraction of the Mount Emei. The methods provided by the invention take the meteorological prediction products issued by the meteorological station as the data basis, achieve the prediction of the probability of a meteorological landscape in a given region through the meteorological prediction products issued by the meteorological station, can achieve the effective use of the public service data, and are higher in practicality.

The invention discloses a product problem analysis method and system based on user comments of an e-commerce platform, which can quickly analyze product problems mentioned by users through text classification and sentiment analysis algorithms on the basis of natural language processing and deep learning.

The invention relates to the field of information technology, in particular to a product upgrading method and device. The method comprises the following steps of 1, receiving verification information for verifying the version of a product issued by a server; 2, displaying a verification result on the product to wait for user confirmation; 3, verifying the version of the product according to the verification information; 4, downloading an upgrade package for upgrading the version of the product according to the verification result. Through the method and the device, misguide of upgrading due to insufficient verification in relevant techniques is avoided, wrong version upgrade when a user is fond of or pleased to a certain product is prevented, and the user has the right of choice, so that the upgrading quality is enhanced.

The invention relates to an in-digital product fingerprint constructing and verifying method, and the constructing method obtains purchase secret information from a purchaser, and uses a copyright server to construct an evidence fingerprint unable to be forged, and then uses a copyright issuing server to construct an ID fingerprint with license issued by the copyright server and sale information, and finally adopts fusion technique to construct a fingerprint-containing copy. And the verifying method extracts the ID fingerprint stored in the digital product to check the product license and identify the ID of the purchaser, and then checks and confirms the belonging relation by comparability of the evidence fingerprint. Correspondingly, the invention provides a digital product issuing system, comprising purchasing device, copyright issuing server and copyright server. And it provides a user-friendly and simple-to-apply method, largely improving safety and extendibility of the existing system.

To provide a system for providing information that allows operators who orally answer questions about certain products from users to deal with the users quickly and effectively. The level of information disclosure is specified for each electronic information to be used for customer support in an information server. In response to the reception of a request for information from an operator terminal, knowledge levels of the user and the operator are determined. The associated electronic information is edited according to rules of providing information that are determined according to the specified knowledge level. The edited version of the electronic information is supplied to the operator terminal. The extent to which information will be disclosed varies according to the level of the knowledge of the user or the operator for a certain product.