709results about "Product appraisal" patented technology

The system enables one to securely recycle an electronic device in a publicly accessible location. In particular, the embodiment described may be used by a mobile phone owner to submit his / her mobile phone for recycling via an electronic kiosk and receive compensation in some form. The compensation might be dispersed via cash, voucher, credit or debit card, or other magnetic or electronic transaction methods.

Described is a system for a decentralized protocol for token-based resource allocation by receiving a real estate possession record for a real estate from a real estate possessor, identifying a value of the real estate, transmitting generated digital tokens to a digital token storage associated with the real estate possessor, and recording a lien on the real estate possession record. The system initiates a first digital token relocation for a real estate recipient, and periodically, during a real estate utilization period for a real estate user: receives an indication of a second digital token relocation from the real estate user, transmits the first portion of the second digital token relocation to the possessor, transmits a second portion to the real estate recipient, and records a record of the first and second portions being transmitted onto the distributed ledger of the blockchain.

Disclosed here are various embodiments to evaluate a device and present a price quote to the user by detecting a presence of a device in proximity to a wireless charger. The system can utilize a wireless charger to obtain information about the device while charging the device. The information can include the make of the device. The system can guide the user to navigate the device to provide additional information such as model, memory capacity, unique identifier, and carrier associated with the device. Based on the unique identifier, the system can determine whether device has been stolen. If the device has not been stolen, the system can determine a price based on information obtained from the device and can facilitate presenting the price to the user. If the user accepts the price, the system can facilitate purchase of the device.

Systems and methods for controlling rights related to digital knowledge are disclosed. A sample system may include an input system to receive digital knowledge from a user, a tokenization system to tokenize the digital knowledge and a ledger management system to create, manage, and store things on a distributed ledger and provide provable access to the digital knowledge. A smart contract system may create a smart contract including triggering action is and respond with a defined smart contract action on an occurrence of the triggering event. The smart contract system may also process commitments to the smart contract.

The inventors have developed technology to facilitate the inspection of vehicles, such as cars, for the presence of defects. The technology may be used to facilitate detection of any defects of one or more vehicle defects before, during, and / or after inspection of the vehicle. The technology includes software and trained machine learning models for performing analyses to determine likely vehicle defects prior to completion of a vehicle inspection, to determine whether any vehicle defects are present based on data acquired during the vehicle inspection, and / or to determine, after completion of the vehicle inspection, whether there are any discrepancies between any defects identified by an inspector during the vehicle inspection and defects automatically detected by analyzing data collected during the inspection of the vehicle.

Consumer operated kiosks for recycling electronic devices are disclosed herein. In some embodiments, the kiosk includes a rotatable inspection plate configured to receive an electronic device when the inspection plate is in a first position. The kiosk can include a camera having a field of view including at least a portion of the inspection plate. The kiosk can include a wired and / or wireless connectivity device configured to connect to the electronic device and one or more processors configured to: receive characteristic information about the electronic device via the wired and / or wireless connectivity device; cause the inspection plate to rotate to a second position; receive one or more images of the electronic device via the camera when the inspection plate is in the second position; and facilitate determination of an offer price for the electronic device based at least in part on the characteristic information and the one or more images.

Methods, apparatus, and systems for generating a price of a target device. An evaluator device obtains technical properties associated with the target device. The technical properties include a make and a model of the target device. Physical properties associated with the target device are obtained. The physical properties include information related to wear and tear of the target device. Obtaining the physical properties includes indicating to a user that the user should position the target device in multiple predetermined positions and that the evaluator device records an image of the target device in each of the multiple predetermined positions. A video of the target device is recorded while the target device is positioned in the multiple predetermined positions. The obtained physical properties are evaluated to generate a condition metric value of the target device. Based on the generated condition metric value, the price of the target device is determined.

The invention discloses an enterprise data link management and value management method and system, and the method comprises the steps: carrying out the real-time capturing of multi-source heterogeneous data of all business systems in an enterprise through a distributed data collection engine, and recognizing the types of original data in different formats through a preset data source adapter; if structured data is detected, a relational database connector is adopted for extraction, and if the structured data is recognized as unstructured data, a document analysis module is started for content extraction, and an initial data set containing metadata tags is obtained; performing format conversion and field mapping on the initial data set according to a pre-established data standardization rule base, eliminating duplicate records and abnormal values through a data cleaning algorithm, performing automatic evaluation on a data quality grade by adopting a naive Bayes classifier, if a data quality score is lower than a preset threshold value, triggering a data recovery process, and if the data quality score is lower than the preset threshold value, performing data recovery. And standardized data meeting a unified standard is obtained. The normativity and value utilization efficiency of data management are effectively improved.

The invention discloses a digital collection full-life-cycle traceability tracking system based on a block chain, and the system comprises a digital identification module, a verification module, a packaging transfer module, a verification module, an integration module, and a system construction module, and achieves the full-life-cycle traceability tracking of a digital collection through the technologies of multi-dimensional feature extraction, watermark embedding, distributed storage, and zero-knowledge proof. And tracking and verification of the whole process from creation to transaction of the digital collections are realized. According to the system, the transaction authorization model is encapsulated by adopting the intelligent contract, so that safe transfer of ownership is ensured; a tamper-proof verification mechanism is constructed through multi-level integrity verification; different platform data are integrated by using a cross-chain technology to form a comprehensive traceability graph, so that key problems of authenticity verification, copyright protection, value evaluation and the like faced by a digital collection market are effectively solved. In addition, the system also establishes a scientific authenticity evaluation and value dynamic evaluation system, provides an objective basis for market pricing, and significantly improves the credibility and safety of the digital collections.

A system (100) and method for generating user-persona based geo-spatial insights and recommendations for assets is disclosed The system (100) receives a request for determining desired assets for an end user from a user device 102 and generates a user-specific persona code for the end user based on the predicted human emotion parameters. Further, the system (100) generates a spatial-temporal chromatic identifier for the end user based on at least one of the determined geo-spatial data and the spatial-temporal data. Further, the system (100) correlates the user-specific persona code with the generated spatial-temporal chromatic identifier using an artificial intelligence-based data orchestration model and predicts the desired assets and predicts dynamic pricing values for each of the predicted desired assets using an artificial-intelligence based pricing model. Furthermore, the system (100) outputs the desired assets and the predicted dynamic pricing values for each of the determined desired assets on a user interface.

The invention belongs to the field of automobile evaluation, and provides an automobile live risk evaluation system and method based on a large model, and the method comprises the steps: receiving voice input information of an evaluator in a vehicle on-site inspection process; extracting component state information of the target vehicle based on the structured check item text; acquiring historical maintenance record data of the target vehicle, and performing association fusion on the historical maintenance record data and the component state information; based on a large language model, performing joint reasoning on a currently input inspection label and the historical maintenance record, constructing a causal chain related to an accident risk, and generating at least one subsequent to-be-inspected item; generating voice guide content and feeding back the voice guide content to the evaluator so as to prompt the evaluator to continue to check the target item of the target vehicle; gradually perfecting the risk check path of the target vehicle until the risk chain closed loop is completed; and calling an estimation formula to calculate a residual estimation value of the target vehicle, and outputting a structured risk assessment report.

A system for an automated property evaluation based on property-related data, including a processor of a property evaluation server (PES) node configured to host a machine learning (ML) module coupled to a summarizer module and connected to at least one user-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire a user request comprising target property data from the at least one user-entity node; parse the user request to extract a plurality of key classifying features; activate a chatbot running on the PES node to acquire conversation data from the user; query a local database to retrieve local historical properties'-related data based on the plurality of key classifying features and the conversation data; generate at least one classifier vector based on the plurality of the key classifying features, the conversation data and the local historical properties'-related data; and provide the at least one classifier vector to the ML module configured to generate a predictive model for producing a set of property evaluation parameters for the summarizer module configured to generate a property evaluation report.

The invention relates to the technical field of data resource management, in particular to an online evaluation method for data resource value, which comprises the following steps of: constructing a multi-dimensional evaluation index set, and acquiring metadata and market dynamic information of to-be-evaluated data in real time through a distributed interface; carrying out weight distribution on the index set based on a dynamic weighting algorithm, generating a weight coefficient set and constructing a value calculation model; performing standardized preprocessing on the collected original data, inputting the data into the model, and calculating an initial estimated value; and dynamically correcting the initial value estimation value based on the timeliness attenuation factor and the data scarcity factor, and generating a final value estimation value and an estimation report. Through multi-dimensional index construction, a dynamic weighting algorithm, standardized preprocessing and two-factor correction, automatic evaluation of the data value is realized, the problems of single dimension, static weight and neglect of timeliness scarcity of a traditional method are solved, the real-time performance and scientificity are improved, and a quantitative decision basis is provided for data capitalization.

Described is a system for token-based asset reevaluation by receiving a physical asset registry record for a physical asset from a physical asset possessor, identifying a value of the physical asset, generating a number of physical asset digital ledger coins corresponding to the value of the physical asset, and transmitting the generated physical asset digital ledger coins to a physical asset digital ledger coin repository associated with the physical asset possessor. The system then identifies a change in one or more parameters associated with the physical asset that impacts the value of the physical asset, reassesses the value of the physical asset, generates an updated physical asset registry record reflecting the reassessment, records the updated physical asset registry record to a digital ledger, and modifies the physical asset digital ledger coins corresponding to the physical asset based on the reassessment.

Methods for monitoring parameters of a battery pack are disclosed. The battery pack include a trace unit, which includes one or more sensor to monitor various parameters of the battery pack. The monitored parameters may include current conditions, resale history, and / or use history of the battery pack. The monitored parameters are transmitted from the trace unit to a remote server and may be used to calculate a residual value of the battery pack. The trace unit may periodically transmit data related to parameters of the battery pack to the server. The data transmission frequency may be determined based on a command sent from the remote server to the trace unit. Data related to parameters of the battery pack may be written on a traceability chain. Each data entry of the traceability chain includes information related to the battery pack at a certain point of time.

The invention relates to the field of cross-border trade, in particular to a cross-border trade full-chain risk identification and management model and method. The model comprises a data access module, a score calculation module, an auditing and judging module and a result output module, multi-dimensional data such as enterprise basic information, commodity declaration information, path transportation information and historical trade behaviors are integrated by means of a unified data interface structure, and an expert weight evaluation (AHP) method and a machine learning algorithm are combined to obtain a comprehensive evaluation result. And performing multi-dimensional risk scoring on the enterprises and the declaration receipts, and automatically judging whether the enterprises and the declaration receipts have exceptions or supervision requirements or not. The system introduces a scoring code system, a price list auditing state code and an AHP weight code to construct a standardized evaluation logic, so that the risk control efficiency and the judgment transparency are improved. The model has good expandability and application universality, is suitable for various business scenes such as cross-border supervision, credit assessment, customs affair auditing and the like, can realize pre-warning and process controllability of risks, and remarkably improves the compliance level and management intelligence degree of cross-border trade.

A device may receive first information associated with one or more properties, and second information associated with one or more properties, where the first information is of a different information type than the second information. The device may generate a first graph network based on the first information, and a second graph network based on the second information. The device may combine the first graph network and the second graph network to generate a combined network including a portion of the first information and a portion of the second information. The device may generate an embedding based on the combined graph network. The device may apply the feature embedding as input to a housing model to generate an output.

The invention discloses an auction item value dynamic evaluation and precise pricing model construction system of a shared auction platform, and relates to the technical field of auction. Comprising a data acquisition module, an index analysis module, a dynamic evaluation module, a pricing model construction module, a strategy execution module, an application monitoring module, a service management module, an auction management module and an interaction feedback module. According to the auction item value dynamic evaluation and precise pricing model construction system of the shared auction platform, the auction item value can be dynamically evaluated based on real-time data, the timeliness and the accuracy of an evaluation result are ensured, the auction platform can capture market changes in time, and a reliable basis is provided for auction item pricing; and a precise pricing model is constructed based on the dynamic evaluation result, so that real-time precise pricing is performed on the auction items according to the auction item value dynamic evaluation result, subjectivity and uncertainty of manual pricing are reduced, and better auction experience and service are provided for sellers and buyers.

Disclosed is a battery service providing system and method. In the battery service providing system, a battery service server is configured to collect diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device; and provide update information of a charging / discharging control logic of the battery according to the degree of degradation determined from the diagnostic analysis data to the electric vehicle control device, determine a residual value or a usage fee of the battery based on the determined degree of degradation, transmit the usage fee or the residual value of the battery to an external server, or set a warranty flag for the battery whose charging and discharging is controlled according to the update information of the charging / discharging control logic.

The present application relates to the technical field of project management, and discloses an integrated management system and method for a large-scale project. The system comprises: a budget subsystem, used for obtaining target project information, and carrying out multi-level classification processing and coding processing on the target project information to obtain budget codes; a contract management subsystem, used for decomposing the target project information, generating a plurality of project contracts and associating the plurality of project contracts with the budget codes; a construction management and control subsystem, used for splitting the project contracts to obtain unit projects, encoding the unit projects to obtain unit codes, and associating quantity data corresponding to the unit projects with a preset construction drawing list; and a joint control subsystem, used for carrying out joint control on the project cost, the project progress and the project quality on the basis of a measurement visa so as to carry out integrated management on a large-scale project. The present application realizes integrated management of large-scale project construction.

A facility for estimating the value of a distinguished home is described. The facility trains a forest of decision trees to estimate valuations for homes within the geographic area where the distinguished home is located using data including both previous home sale transaction prices and synthetic sale transaction prices based on listing prices. The facility accesses information about the distinguished home's attributes and applies each decision tree in the forest to that information, generating a number of estimated valuations. The facility determines an overall valuation for the distinguished home based on the valuations generated by the decision trees.

The disclosure discloses a technique for more accurately evaluating a residual value of a secondary battery. For this reason, the disclosure proposes a battery residual value management system that manages a residual value of a battery, the battery residual value management system including: at least one storage device configured to store information about a multi-dimensional vector space formed by at least three indexes for evaluating the residual value of the battery, the multi-dimensional vector space including a plurality of regions for determining a residual value rank of the battery, each of the regions being defined by one or more threshold values set for each index in the multi-dimensional vector space; and at least one processor configured to acquire the information about the multi-dimensional vector space from the storage device and determine, based on the at least three indexes of the battery that is a residual value assessment target, to which of the plurality of regions in the multi-dimensional vector space the battery being the residual value assessment target belongs, thereby determining the residual value rank of the battery that is the residual value assessment target (see FIG. 2A).

The invention discloses a real estate evaluation method based on Bayesian optimization and machine learning, and the method comprises the steps: collecting data, and constructing a real estate evaluation index system; the collected data are preprocessed; using feature engineering to convert each feature variable in the preprocessed data into data capable of being trained, and generating a modeling sample set; carrying out normalization on the data, and carrying out dimensionless standardization processing on the original data; building a real estate evaluation model based on an XGBoost algorithm in machine learning; a Bayesian optimization algorithm is used to optimize hyper-parameters of the real estate evaluation model, and an optimal hyper-parameter combination is found; training the optimized real estate evaluation model, and testing; and according to the basic information of the house, outputting an evaluation price of the house through a house property evaluation model. According to the method, the value of the house can be evaluated scientifically and accurately through the combination of technical means such as building of the house property evaluation index system, building of the house property evaluation model and Bayesian optimization of hyper-parameters.

A method for managing valuation of an asset includes: inferring, by an engine and using a trained model, a future rent and asset sale price (FRASP) value of an asset based on an inferencing dataset received from an analyzer; upon receiving the FRASP value, appending, by the analyzer, the FRASP value to the inferencing dataset to generate an inferred FRASP value output; generating, by the analyzer, an asset valuation value for the asset based on the FRASP value and a net present value (NPV) of a known cash flow; and initiating, by the analyzer, notification of an administrator about the asset valuation value for the asset using a graphical user interface (GUI).

The invention relates to the technical field of data processing, and discloses a model dimension-based new energy vehicle value retention rate evaluation method and system, and the method comprises the steps: constructing three-table data, and carrying out the preprocessing; and fusing the static features and the time sequence features according to the type identifier to generate a feature sequence. And inputting the static features into a static feature sub-network to obtain a static representation, inputting the time sequence features into a time sequence feature sub-network to obtain a hidden representation of each time step, and obtaining a time sequence representation based on attention weighting. And performing drift detection on the input distribution and the model residual distribution. And splicing the static representation and the time sequence representation, inputting the spliced representation into a quantile prediction sub-network, outputting two value retention rate prediction results of different quantiles, and obtaining a value retention rate quantile set. And obtaining an insurance amount evaluation suggestion value based on the value retention rate quantile set and the new vehicle purchase price. According to the method, fine-grained description of different type feature differences is ensured, and the accuracy and reliability of a prediction result are improved.

Methods and systems for automatically mitigating risks of water damage to a property caused by insurance-related events are provided. A smart home controller and / or insurance provider remote processor may analyze data received from a smart device disposed on, within, or proximate to a property associated with monitoring water flow, as well as data received from an insurance provider. If it is determined that an actual or potential risk of water leakage exists, the smart home controller or remote processor may automatically issue commands to the smart device to take actions that mitigate the risk of water damage. The smart home controller may transmit information about the actual or potential water leakage risks and any mitigative actions to an insurance provider. The insurance provider remote processor may interpret the transmitted data and perform insurance activities, such as providing a discount or premium, and / or adjusting an insurance policy associated with the property.

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify the part of the vehicle that has sustained damage. Damage data on an extent of the damage in the identified part of the vehicle is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified generic part of the vehicle is used to obtain a corresponding Part ID Code by using a parts dictionary. Part Qualifier information obtained using VIN information is then used in conjunction with the Part ID to obtain the OEM-specific part and then generate one or more repair lines for the repair estimate.

The invention relates to the technical field of financial science and technology and artificial intelligence crossing, and particularly discloses a personal loan unfavorable asset intelligent evaluation and pricing method based on a graph neural network, and the method comprises the steps: obtaining original data in real time, extracting multi-modal feature data based on the original data, and fusing the multi-modal feature data; establishing a debtor associated network atlas based on the debtor information, and performing risk assessment based on the debtor associated network atlas and the fused multi-modal feature data; the asset recovery rate is predicted, and the uncertainty is quantified; the asset package combination is optimized based on a Markov decision process model; pricing is carried out based on a risk assessment result, an asset recovery rate prediction result and an optimization strategy, by means of the deep fusion technology of multi-modal data and the strong nonlinear fitting capability of a deep learning model, the system can more fully mine value information contained in the data, and by constructing and analyzing a debtor association map, a debtor evaluation result is obtained. And investors are helped to avoid potential major investment risks.

An approach is provided for trading card platform. The approach involves, for example, initiating a reading of a machine readable code from a trading card to determine a card identifier. The approach also involves querying for one or more attribute data records associated with the trading card based on the card identifier. The approach further involves computing a value metric based on the one or more attribute data records and presenting a user interface displaying a digital representation of the trading card, the one or more sponsorship data records, the value metric, or a combination thereof.