71 results about "External validation" patented technology

Described herein is a transaction system (100) in which a transaction is authenticated using an external alias. When procuring an item from a supplier (120), a customer (110) needs to provide payment in some form or the other. Profiles relating to both the customer (110) and the supplier (120) are stored in an environment managed by a broker (130) and payment is effected by transfer of within that environment from a customer wallet to a supplier wallet. The customer (120) is represented as an alias as far as the supplier (120) is concerned, whereby the alias is provided by an external identity provider (140) such as a social network with which the customer (120) is associated. The anonymity of the customer (120) is maintained with respect to the supplier (120).

Systems, computer program products, and methods are described herein for a system for allowing external validation of data in a process data network. The present invention is configured to create a block chain of resource information based on at least aggregated information associated with past transfer of resources executed by an entity; receive an indication that the entity has executed a transfer of resources at a terminal; receive information associated with the transfer of resources based on at least receiving the indication that the entity has executed the transfer of resources; and update the block chain of transaction information with the transaction activity executed by the entity.

The invention pertains to a system for assessing the level of social responsibility of a business and for monitoring improvements using the assessed level as a baseline. The system includes a self-assessment testing method which establishes a score or “grade” indicative of the level of social responsibility of the business which can be used for comparative purposes internally or externally. In terms of a business entity, the invention provides for a self-assessment process to objectively determine the level of social responsibility of the company in a manner subject to outside verification. The process isolates components of social responsibility. The results permit precise decision making implementing change and reevaluation. The process results in a score or grade that is subject to verification or auditing by an outside agency in order that it will be a meaningful assessment outside of the confines of the company and in a broader community. It may be used for comparison to industry standards, universal standards, past performance, or the like. In broader terms, the invention provides a vehicle for a sponsoring agency or a collaboration of entities (“sponsor”) to provide the business community with a means of verifiable self-assessment of the level of social responsibility of businesses. This permits the sponsor to adopt standards for the purpose of comparison of one business to another, to an industry group, to other industries, or to past performance.

The SMART MEDIA GUIDE (“SMG”) implements a compact and portable digital media guide interfaced with smart interfaces. The SMG may include facilities for storing and reproducing digital content with or without any recording capability. The digital content stored in the SMG memory may or may not be changeable but access to the stored content may be selectively enabled or disabled based on external verification via one or more smart interfaces. In beacon-based systems, remote units may be triggered to initiate various functionalities based on satisfaction of a beacon's signal signal strength criterion.

The invention discloses a method for fast predicting organic pollutant n-caprylic alcohol/air distribution coefficient based on molecular structure, belonging to the technical field of quantifying structure/active relationship (QSAR) facing to the environmental risk evaluation. The method is characterized of comprising the steps of: adopting the molecular structure of atomic center fragment characterization compound; and screening the atomic center fragment combination by means of stepwise regression and partial least-squares regression, to build a group contribution model for predicting KOA.The internal authentication and the external authentication improves that the built KOA group contribution model has stability and predicting capability, and a range and distance method and a probability density method express the application domain of the group contribution model, thereby defining the application range of the model and guaranteeing the predict accuracy. The method has the effectsand benefits of being capable of fast predicting the KOA of the high flux compound, obtaining the KOA with low cost, being helpful for obtaining the high flux KOA data, and having a significant meaning for the environment supervision and the risk evaluation of chemicals.

The invention relates to a method for quick and non-destructive determination of content of amylase in corn single grains and application thereof. The method mainly comprises a step (1) of collecting corn single grain materials; a step (2) of collecting near infrared spectra of a sample; a step (3) of using a conventional chemical method to determine the content of amylase of the sample; a step (4) of preprocessing the obtained near infrared spectra and eliminating interference factors; a step (5) of establishing a calibration model between a chemical value of the content of amylase in the corn single grains and the near infrared spectra, and checking the model; a step (6) of externally verifying the model; and a step (7) of collecting near infrared spectra of a to-be-measured sample, and using the established near infrared model to perform quick and non-destructive determination of the content of amylase in the to-be-measured sample.

The invention discloses a method for rapidly detecting the amylose content in rice by near infrared spectrum and a visible light analyzer. The method comprises the following steps: S1: collecting rice samples; S2: determining the amylose content in rice by adopting a standard method; S3: collecting near infrared spectrum data of the samples by utilizing a near infrared spectroscopy; S4: pretreating the near infrared spectrum data; S5: correlating the near infrared spectrum data with an amylose value determined by the standard method, and establishing a near infrared calibration model; S6: carrying out external verification on the near infrared calibration model; S7: correlating the amylose value determined by the standard method with a color value determined by a visible light analyzer by utilizing a predicted value obtained by the near infrared calibration model, and establishing a comprehensive calibration model; and S8: carrying out external verification on the comprehensive verifying model. The method provided by the invention has the advantages of high analyzing speed, high efficiency, low cost, no pollution to the environment and the like, and the method can provide reliable basis for the rice quality analysis and rice quality control.

A secure credential validation compares stored and received modified credentials, e.g., biometric credentials, such that the validating system does not have access to the unmodified credentials. A capture system and a credential validation system are operatively coupled to a network (e.g., the Internet). The credential validation system is configured to store a set of modified stored credentials associated with the principal, receive a set of modified received credentials, and perform a credential validation procedure to validate the modified received credentials, wherein the credential validation procedure performs a one-way consistency test to compare the modified stored credentials and the modified received credentials: The credential validation procedure employs one or more similarity measures, e.g., a weighted quorum of exact matches, a discrete N-ball (or “N-shell”) intersection, or a client-based algorithm with encryption.

An image forming apparatus is disclosed that is configured to receive user authentication information and perform image formation based on an image formation request and is connected to an external authentication server which performs authentication based on the user authentication information. The image forming apparatus comprises an authentication querying unit that queries the external authentication server for the authentication based on the user authentication information; an authentication result receiving unit that receives a result of the authentication performed by the external authentication server; an authentication result storage unit that stores the result of the authentication received by the authentication result receiving unit; and a control unit that controls the authentication querying unit, the authentication result receiving unit, and the authentication result storage unit. When the image forming apparatus receives the user authentication information, the control unit performs the authentication based on the result of the authentication stored in the authentication result storage unit.

A refinement verification engine authenticates a user submitting a subject tax return. The user is associated with an initial taxpayer identity confidence score in an intermediate range, such that the authenticity of the user is uncertain. The refinement verification engine is configured to perform the following steps: receiving tax information associated with the subject tax return for a subject taxpayer; acquiring an initial taxpayer identity confidence score that is indicative of a likelihood that the user is genuine; determining that the initial taxpayer identity confidence score falls into a predetermined range; identifying a verifiable data set within the taxpayer information; accessing an external data store containing information related to the verifiable data set; and determining whether information indicative of the verifiable data set is present in the external data store.

The invention discloses a combined diagnosis marker for predicting small hepatocellular carcinoma relapse. Based on an LASSO Cox regression model, the inventor confirms and establishes a small hepatocellular carcinoma relapse prediction model based on 6 gene signatures (including CD147, IL-7, Ki67, MIF, P97 and PD-L1) through analyzing a large number of cases; the risk ratio, defined by a 6 gene signature classifier, of a high relapse risk crowd to a low relapse risk crowd is 2.721 (95% CI: 1.633-4.532; P is smaller than 0.0001); the analysis of an internal validation group and an external validation group has the same result. The experiment proves that the classifier based on the 6 gene signatures can effectively predict different relapse risks of patients suffering from small hepatocellular carcinoma, the traditional diagnosis accuracy rate, predicted through clinicopathological parameters, of small hepatocellular carcinoma relapse is increased, the relapse risk of AFP-negative patients suffering from small hepatocellular carcinoma can be well judged, and the combined diagnosis marker has potential clinical value in the individualized treatment of small hepatocellular carcinoma.

A tool for credential validation using multiple computing devices. The tool selects at least one challenge question. The tool selects one or more user owned devices, wherein selecting the one or more user owned devices includes querying a database for each user owned device associated with a user account. The tool selects at least one device order, based, at least in part, on a level of security desired in credential validation. The tool presents the at least one challenge question to the one or more user owned devices, wherein the at least one challenge question includes the at least one device order for returning at least one response. The tools determines whether the at least one response received from the one or more user owned devices is a correct response relative to the at least one challenge question and the at least one device order.

The invention provides a method for distinguishing production places of flat tea based on stable isotope proportion difference. The method is characterized by mainly comprising the following steps: (1) collecting samples and establishing a modeling sample set; (2) detecting stable isotopes, wherein determined indexes are 13C/12C, 15N/14N, 18O/16O, D/1H, 111Cd/113Cd, 206Pb/207Pb, 207Pb/208Pb and 88Sr/86Sr; (3) carrying out data standard processing and sample assignment to obtain variables Z(C), Z(N), Z(O), Z(D), Z(Cd), Z(206Pb/207Pb), Z(207Pb/208Pb) and Z(Sr); (4) establishing a decision-making tree analyzing model; (5) judging unknown samples. With the adoption of the method provided by the invention, the quality safety of tea leaves can be met, and the faking of the tea leaves can be effectively prevented; the production places are distinguished through decision-making tree analysis, the accurate distinguishing rate of a return test reaches 91.35 percent, the accuracy of an external test reaches 92 percent, and the model is reliable.

The invention discloses a method for determining oxide component content of cement raw meal by near infrared diffuse reflection spectrum. The method comprises the following steps of: determining the main oxide component content of the collected cement raw meal sample by adopting an X-ray fluorescence method to obtain the standard of each sample component; dividing the whole cement raw meal sampleinto a calibration set and a verification set to obtain the near infrared diffuse reflection spectrum thereof; performing smoothing processing on the near infrared diffuse reflection spectrum, establishing a calibration model by adopting a cooperation interval partial least square method, and determining the relation between the each sample content and the near infrared diffuse reflection spectrum; and performing external verification on the calibration model by using the verification set sample, comprehensively judging the model performance based on the calibration set correlation coefficient, the cross validation root mean square error, the verification set correlation coefficient, and the predicted root mean square error, and analyzing the correlation between a predicted value and a real value.

The invention discloses a method for rapidly detecting the nutrient composition of barley straw. The method comprises the following steps: (1) chemical analysis of the nutrient composition of barley straw; (2) near infrared spectrum data collection for a barley straw sample; (3) original spectrum preprocessing; (4) building standard sample screening; (5) calibration model establishment; (6) determination of an optimal model; and (7) model external verification. MPLS is used for improving least square method regression technology matched and combined with different spectrum processing methods and parameters, and establishment for a barley straw near infrared external model is established; three indexes such as 1-VR, SECV and SEC are used for determining the optimal model; and an independent sample set without participating a model calibration process is adopted for carrying out external verification on the optimal model. An NIRS calibration model is established for the nutrient composition in the barley straw sample by using the NIRS technology, corresponding external verification is carried out on the model, the feasibility of the main composition of barley straw predicted by the model is determined, and a method for rapidly predicting the nutrient composition of barley straw is provided in the production process.