65 results about "TRADACOMS" patented technology

An improved system implements Fitness Gradient Consensus including hash distance and bucket consensus variations within a digital blockchain by calculating the highest fitness value competing blocks to resolve conflicts and allocate the rewards associated with building new blocks. The consensus system applies conflict resolution formulas to incentivize block-building nodes to share blocks generated, as it completes construction, to improve chances of a reward, resulting in enhanced speed and security of blockchain.The hash distance consensus utilizes a hash distance scalar value as part of its fitness metric, and the bucket consensus assigns tokens to buckets and calculates an aggregate value of the assigned tokens. A trust-but-verify variant increases transactional throughput and reduces linearity and computational constraints.The system also utilizes novel record types, such as token genesis, transfer, transaction, trade order, settlement, proposition, determination, and pattern linkage records to facilitate the automation of financial, commercial and legal processes.

Methods and systems for monitoring employee-customer conversations in commercial settings to identify participants, detect key events, and generate actionable insights into employee performance, customer sentiment, and operational efficiency are described. In some instances, for example the disclosed methods comprise capturing audio data for a transaction conversation at a transaction location within a commercial setting using at least one microphone positioned at the transaction location; generating a transaction conversation record based on the captured audio data; and processing the transaction conversation record using at least one machine learning model, where the at least one machine learning model is configured to process the transaction conversation record and detect a transaction event.

A system for a business entity is disclosed that is configured to execute an authorized countermeasure against a malicious actor via a smart contract in response to the system determining that the malicious actor has performed a malicious action. The system determines that a smart contract established between the business entity and an official agency defines an authorized countermeasure to be performed in the event of the malicious action. The system also determines that the malicious actor has performed the malicious action on the business entity. In response to the determination that the malicious actor has performed the malicious action, the system executes the authorized countermeasure with respect to the malicious actor, which may include one or more of a ransomware attack, a malware distribution, a beacon, a Distributed Denial of Service attack, a destruction of data, an encryption of data, a tokenization of data, or a scrambling of data.

The invention discloses a bidding and tendering information sharing method and system based on a block chain, and the method comprises the steps: obtaining an access request of a bidding and tendering party for a block chain network, and carrying out the identity verification of the access request; after the identity verification is passed, bidding and tendering information of the bidding and tendering party is obtained, the bidding and tendering information is analyzed, and the sensitivity degree of the bidding and tendering information is determined; determining an encryption means of the bidding and tendering information according to the sensitivity degree, and encrypting the bidding and tendering information according to the encryption means; performing security assessment on the encryption means, and determining the security level of the encrypted bidding and tendering information; and determining the sharing transparency of the bidding information on the block chain based on the security level, and performing sharing display of the bidding information according to the sharing transparency. According to the method, the corresponding encryption means is determined by analyzing the bidding and tendering information, different information is protected to different degrees, and necessary information disclosure can be provided while commercial confidentials are protected by setting different sharing transparencies.

An improved system implements Fitness Gradient Consensus including hash distance and bucket consensus variations within a digital blockchain by calculating the highest fitness value competing blocks to resolve conflicts and allocate the rewards associated with building new blocks. The consensus system applies conflict resolution formulas to incentivize block-building nodes to share blocks generated, as it completes construction, to improve chances of a reward, resulting in enhanced speed and security of blockchain.The hash distance consensus utilizes a hash distance scalar value as part of its fitness metric, and the bucket consensus assigns tokens to buckets and calculates an aggregate value of the assigned tokens. A trust-but-verify variant increases transactional throughput and reduces linearity and computational constraints.The system also utilizes novel record types, such as token genesis, transfer, transaction, trade order, settlement, proposition, determination, and pattern linkage records to facilitate the automation of financial, commercial and legal processes.

The invention relates to the technical field of data backup and storage, and discloses a universal chatting record backup and storage method and system.The universal chatting record backup and storage system comprises a multi-source data acquisition unit, an information storage unit, an operation recording unit and a supplementary acquisition unit. One-stop efficient acquisition is realized, and the data processing efficiency is improved; classified storage and structured processing are carried out according to data characteristics, original data storage and efficient query analysis are considered, and data structure changes are flexibly coped with; the operation recording unit completely records the whole operation process by using a screen recording and Hash algorithm, ensures that the operation record is tamper-proof, and provides authenticity guarantee for the chat record as evidence in scenes such as commercial disputes and lawsuit; the supplementary acquisition unit breaks through the limitation of a data interface by means of technologies such as screenshot and optical character recognition, realizes complete acquisition of chat records of a complex communication platform, and enhances the universality and adaptability of the system.

The invention discloses a method for constructing vTEE and certification in an AMD SEV environment, provides a refined communication and fusing sequence diagram for the vTEE for the first time, and defines a module interaction sequence under two scenes of normal task execution and anomaly detection. According to the method, a trusted cloud security management platform initiates a request, a protection component coordinates a calculation component to collect an SEV-SNP report and vTEE key data, signature combination and uploading verification are carried out, and finally, the platform compares with a reference value to determine whether the vTEE is trusted or not. According to the method, a double-layer certification mechanism of SEV hardware certification and vTEE equipment measurement is adopted, an SEV-SNP certification report proves that a hardware environment, a VM mirror image and a vTEE operation environment are not tampered, vTEE key data measurement supports complete trust chain verification of equipment firmware, instruction streams and strategy states, and end-to-end certification is achieved. Equipment-level measurement, strategy issuing, abnormal fusing and remote certification are realized through an external protection part, and the system has important commercial landing value and strong system expandability.

The invention discloses a block chain digital right management method and system, and the method and system achieve the efficient and safe circulation of polymorphic values through the construction of a dynamic anchoring engine and a space-time verification network. A legal clause coding technology is innovatively adopted, and laws and regulations such as a payment settlement method are embedded into an intelligent contract, so that the compliance is ensured while the commercial efficiency is improved. Through test verification, the system realizes 2000 + transaction processing capacity per second under a million-level user scale, and the abnormal transaction identification accuracy rate reaches 98.7%.

A fleet of all-electric, battery powered industrial or commercial mobile power units (MPUs) or equipment is provided. Systems and methods for managing the fleet of equipment is also provided. Observable data, such as i) equipment performance and health data, ii) electricity cost data, iii) telematic data, and iv) scheduling data, can be used by machine learning models to optimize fleet management and decision making. The machine learning model can be configured to generate suggested actions, commands, or decisions which are transmitted to fleet managers who are responsible for activities such as i) equipment charging and maintenance, ii) equipment delivery logistics, and iii) rental pricing strategy. Feedback data from the outcome of these decisions, or the completion of the related activities, can tracked and used to update the machine learning model. Interactive portals may also be utilized by customers to make reservations and managers to manage reservations, monitor the fleet of equipment and provide support to MPUs across the product lifecycle.

A dialogue-based artificial intelligence system for interaction management in digital commerce, consisting of: a housing that encloses an arrangement of interconnected printed circuit boards; a conversation processing unit arranged on a first circuit board, comprising a syntactic parsing processor for generating hierarchical parse structures from user input texts, a semantic embedding processor for generating high-dimensional semantic vectors from the parsed structures, and a dialogue state calculation circuit for managing a multi-level conversation memory using clocked recurrent memory buffers; a retrieval augmentation unit arranged on a second circuit board, comprising a vector indexing processor for storing and retrieving domain-specific embedding vectors, a similarity calculation processor for calculating cosine-based semantic distances between the semantic vectors and vectors stored in a knowledge store, and a document reconstruction structure for merging retrieved text segments into a unified context representation; a generative response unit arranged on a third circuit board, comprising a transformer execution processor for executing a quantized transformer architecture for natural language generation, a context fusion circuit for merging the unified context representation with the semantic vectors to generate response conditioning data, and a hallucination suppression circuit for comparing the generated text with retrieved text segments and attenuating content divergence beyond a predetermined semantic threshold; a domain integrity check unit that is communicatively connected to the generative response unit, wherein the domain integrity check unit includes a regulatory restriction store that stores domain-driven rules, and a conformance assessment processor configured to check generated responses for conformance with the domain-driven rules, blocking non-conforming segments or replacing them using verified text content from the retrieval extension unit; a knowledge storage array comprising at least one static domain repository for storing commercial specifications, regulatory guidelines, product descriptions, and domain documents, a dynamic interaction buffer for storing anonymized conversation state data, and a vector storage partition for storing embedding vectors that can be retrieved by the vector indexing processor; and a multi-interaction device consisting of a touchscreen panel, an array microphone, a speaker structure and a contactless communication interface, each configured to receive multimodal user inputs or generate multimodal system outputs.

The invention provides a memory hot plug control method for a server non-aware security container and electronic equipment, and the method comprises the steps: distributing a memory from a movable region based on CZone when a memory distribution request initiated by a container process is received; and when a function container distribution request is received, calling the CZone based on the RunD-V to carry out container longitudinal expansion. The invention provides an effective memory hot plug technology, the performance reduction in the dynamic memory allocation period is minimized, the additional memory overhead of the VM can be reduced through the longitudinal expansion of the multiple copy containers of the function in the single VM, the starting during operation is accelerated, and the performance of the VM is improved. According to the method, technical support can be provided for application of server non-perceptual computing to high-density deployment and high-concurrency starting, a server non-perceptual computing system which has commercial significance and is based on a hybrid resource extension technology can be constructed, and container efficient extension services are provided for cloud service providers.

Systems and method disclosed herein provide a digital asset system that interconnects the processing of digital assets and related physical products within an enterprise network. Digital assets may be generated and updated based on a number of factors including the interactions with the digital asset within the enterprise network and the physical and commercial attributes of the related physical products. Digital assets may be dynamically updated on real-world conditions and utilized to facilitate cross-system interaction between users, manufacturing, and user engagement systems.

Systems and methods for managing a fleet of all-electric, battery powered industrial or commercial mobile power units (MPUs) or equipment is provided. Observable data, such as i) equipment performance and health data, ii) electricity cost data, iii) telematic data, an iv) scheduling data, can be used by machine learning models to optimize fleet management and decision making and generate suggested actions, commands, or decisions which are transmitted to fleet managers who are responsible for activities such as i) equipment charging and maintenance, ii) equipment delivery logistics, and iii) rental pricing strategy. Interactive portals may also be 15 utilized by customers t make reservations and managers to manage reservations, monitor the fleet of equipment and provide support to MPUs across the product lifecycle

The invention provides a commercial satellite-oriented intelligent measurement and control responder and a multi-frequency-band measurement and control method thereof in order to solve the problems that a current measurement and control responder can only support a measurement and control task of a corresponding frequency band, so that frequency band selection flexibility is poor, and flexible measurement and control requirements cannot be met, and belongs to the technical field of spaceflight measurement and control. According to the invention, the architecture of the basic function module, the multi-band radio frequency front-end module and the multi-band measurement and control antenna is adopted, and the basic function module is integrated into a sharing platform with core functions of baseband processing, modulation and demodulation, intermediate frequency conversion and the like, so that an independent complete transceiving channel is prevented from being repeatedly designed for each band. Meanwhile, radio frequency front ends and antennas of multiple frequency bands such as KA, S and X are integrated, and the limitation that a traditional responder can only work in a single frequency band is broken through. An independent S frequency band measurement and control mode, an S + KA frequency band measurement and control mode, an S + X frequency band measurement and control mode and a KA + X frequency band measurement and control mode can be realized. The method is suitable for design of the measurement and control responder in aerospace constellation networking.

The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate / price discrepancies, full / partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

Assessments of guardrails of LLMs, whether used by an application or within an AI / LM stack, must be dynamic to protect against the ongoing engineering of jailbreaking prompts. An assessment framework has been created that facilitates assessment of language model guardrails. The assessment framework includes a prompt generator and has access to sensitive data (e.g., source code, trade secret, confidential documents, etc.) that occurs in training data of a model being assessed. The framework provides the prompt generator jailbreaking strategies and categories of the sensitive data (e.g., program code, trade secret, confidential document.). With the data categories and the strategies, the prompt generator generates different prompts and submits them to the AI-powered application or LM stack being assessed. The assessment framework then analyzes the outputs / responses from the AI-powered application or LM stack to determine whether guardrails have been subverted and any of the sensitive data has been exfiltrated.

The application relates to the technical field of sentiment analysis of mixed language reviews, and discloses a sentiment analysis method and device for mixed language reviews, electronic equipment and a medium, wherein the method comprises the following steps: through a multilingual pre-training model and an attention mechanism, accurate analysis of mixed language reviews is realized, different language segments are fused and understood in a preset semantic space, the sentiment recognition accuracy of mixed sentences is improved, and further through dynamic calling of a target language dictionary based on a language label, the sentiment weight of slang is corrected in a targeted manner, the sentiment polarity reversal is effectively avoided, and the misjudgment rate of regional market reviews is reduced.The application has the beneficial effects that while maintaining the processing efficiency, a high-accuracy and high-adaptability sentiment analysis solution is provided for application scenarios such as cross-border e-commerce and social media monitoring, and the accuracy and automation level of business decision-making are improved.

The invention relates to the technical field of information and communication suitable for supervision, in particular to a block chain-based transformer operation and maintenance data management system, which comprises the following steps of: analyzing a service level protocol into automatically executable commercial contract terms deployed on a chain in a smart contract form through a protocol analyzer; the commercial contract terms are automatically triggered to generate an operation and maintenance work order based on transformer real-time data monitored by an oracle machine; receiving and verifying a completion report, driving a multi-party collaborative acceptance process through commercial contract terms, and finally generating an acceptance voucher containing multi-party digital signatures; generating a verifiable digital certificate for the digital identity of the transformer according to the acceptance certificate, taking the verifiable digital certificate as a non-tampering historical record, and solidifying the verifiable digital certificate in a distributed ledger; according to the invention, high-credibility transformer operation and maintenance management is realized based on the block chain technology, and intelligentization of transformer operation and maintenance management is realized through the chain contract which can be automatically executed.

The invention discloses a trusted data circulation method and system based on a security sandbox in a trusted data space. According to the method, a security sandbox data controllable encryption mechanism is constructed, so that'available and invisible 'type sharing of power consumption data is realized. The method specifically comprises the steps of power utilization data encryption synchronization, data use application based on zero-trust dynamic multi-factor authentication, intelligent contract automatic approval, environment perception strategy execution, model training based on noise addition and homomorphic encryption, loan limit prediction and verification and the like. According to the method, a decentralized architecture, an integrated block chain, homomorphic encryption, noise addition, proxy re-encryption and other technologies are adopted, and it is ensured that data are encrypted in the whole process in the circulation process, the authority is controllable, and the process is traceable. According to the invention, the problems of privacy disclosure and commercial confidential protection when the power consumption data of the power enterprise is shared in a financial scene are effectively solved, and the security and credibility of data circulation are improved.

The invention provides a super high-rise commercial user-oriented power transaction scheduling device and method and a storage medium, and relates to the technical field of power transaction scheduling processing. According to the super high-rise commercial user-oriented power transaction scheduling device, the basic data layer collects equipment parameters to extract the total load response capability, and the circuit loss is combined to obtain the preliminary net load; the transaction data screening layer screens out tradable net loads according to user signing states and comfort constraints, the transaction decision-making layer calculates the operation and maintenance cost of a signing area and determines the optimal quotation, and the value distribution layer determines income distribution based on the optimal quotation and clarifies settlement results of cold overflow and hot overflow scenes. The method has the advantages that the decentralized function is modularly integrated, the problems of fuzzy load boundary and extensive scheduling of a traditional system are solved, link logic coherence is preserved by means of interlayer data linkage, a super high-rise complex scene is adapted, a clear framework is provided, and the overall collaboration and operability are improved.

The invention discloses a trusted data resource and tradable data asset construction system, method and equipment, and relates to the technical field of data element and data governance, the construction system comprises a network communication module, a data right visa module, a data strategy module and a data storage module; the data strategy module comprises a permission distributor, a strategy configurator and a data wrapper; the data evidence storage module comprises a working area, an evidence storage bucket, an asset bucket and a transaction bucket; the authority distributor, the strategy configurator and the data wrapper are respectively connected with the data strategy module; the working area, the evidence storage bucket, the asset bucket and the transaction bucket are respectively connected with the data evidence storage module; the system has the beneficial effects that a user remotely collects business data, automatically stores data resources, autonomously constructs data assets, and is in butt joint with various law evidence platforms and commercial service platforms in a national data governance system; five basic standards of data security and tampering prevention, data source traceability, evidence storage completeness and confidence, packaging specification circulation and data weight definition and verifiability are achieved.

The invention discloses an AI intention shunting recommendation method and system based on user re-purchase behavior recognition, and is applied to a take-out service platform. According to the method, a re-purchase frequency N is established by tracking historical order placing times of a user to a service provider, and a page type currently accessed by the user is combined as a technical signal to judge whether the user is in an efficiency scene or an exploration scene. In an efficiency scene, the system generates a service list arranged in a descending order according to a re-purchase frequency, and provides a quick entry of'one-order-again '; in an exploration scene, the system generates an initial candidate set based on multi-dimensional behavior preference, and applies negative weight adjustment to a high-frequency re-purchase service provider according to a re-purchase frequency N or a time-weighted re-purchase frequency N ', a weight reduction coefficient alpha = max (0, 1-k. (N-1)) or alpha = max (0, 1-k. (N'-1)), and when N is greater than or equal to S, direct shielding is performed. And after adjustment, performing diversity filtering, and setting a commercial cooperation weight factor to zero to generate a pure exploration recommendation list. According to the invention, through a set of quantitative AI-driven shunting and counterbalance mechanism, two opposite demands of exploration and re-purchase are met. An A / B test verifies that the exposure click rate of a new service provider in an exploration scene is increased by about 25%, and the average operation path of a user in a re-purchase scene is shortened to about two times of click.

To provide a digital asset system that interconnects digital asset processes and associated physical products within an enterprise network.SOLUTION: Digital assets may be created and updated based on some factors, including interactions with the digital assets within an enterprise network, as well as the physical and commercial attributes of associated physical products. The digital assets may be dynamically updated based on real-world conditions, and utilized to facilitate system-to-system interactions between users, manufacturing, and user-involvement systems.SELECTED DRAWING: Figure 1

The application discloses a social media tag multi-target combination recommendation method and system, and relates to the technical field of data processing.The video record including the parent tag, the sub-tag and the video attribute data is read, the video record is divided according to the parent tag to obtain an analysis unit, the affinity degree of the parent tag and the sub-tag in the analysis unit is statistically analyzed, and the affinity level is generated, the sub-tags in the same analysis unit are combined two by two, the co-occurrence number of the tags and the appearance number of the single tag are counted, the tag correlation weight is calculated, and the tag correlation matrix is constructed; the trend intensity, the commercial concentration and the stability of the play quantity of the sub-tag are calculated according to the video attribute data, the comprehensive recommendation score is obtained in combination with the affinity score; the number of the recommended tags, the grade ratio constraint, the internal correlation constraint and the approximate tag constraint are set, the candidate sub-tags are selected according to the comprehensive recommendation score, and the candidate sub-tags meeting the constraint are taken as the recommended tags, so that the accuracy and the applicability of the tag combination recommendation are improved.

A computer-implemented innovation automation and education platform comprises a multi-stage processing system managing innovation workflows from idea input through deliverable output. The platform includes a collation stage receiving multimodal input data via customizable forms, automatically parsing uploaded documents to extract relevant information fields, validating data integrity and completeness, and normalizing diverse input types into canonical representations with policy-aware routing capabilities. An intelligence layer implements claim-aware option generation, producing constrained and unconstrained idea variants while evaluating patentability and freedom-to- operate considerations through analogical mapping and recombination engines. The system incorporates an innovation corridor with policy -contract compilation that automatically translates organizational policies into executable contract representations, implements programmable royalty frameworks for automated revenue sharing, and processes settlements based on verified commercial outcomes. An agentic coaching module provides Al-driven learning task recommendations with cryptographic audit trails and human mentor escalation capabilities, enabling organizations to systematically process innovations while maintaining comprehensive compliance verification.

Aspects of the disclosure relate to providing commercial and / or spam messaging detection and enforcement. A computing platform may receive a plurality of text messages from a sender. It may then tokenize the plurality of text messages to yield a plurality of tokens. The computing platform may then match one or more tokens of the plurality of tokens in the plurality of text messages to one or more bulk string tokens. Next, it may detect one or more homoglyphs in the plurality of text messages, and then detect one or more URLs in the plurality of text messages. The computing platform may flag the sender based at least on the one or more matching tokens, the one or more detected homoglyphs, and the one or more detected URLs. Based on flagging the sender, the computing platform may block one or more messages from the sender.

Methods and systems including one or more entropically configured distinct physical features (an “identropy”) that serve as unique identifiers for a physical item, such as a product or device, particularly products and / or devices in commerce, documents, packaging, etc. are described herein. The identropy makes it possible to uniquely distinguish one item from the other. In one embodiment, the identropy needs to be converted into a digital entity which can be done through a challenge-response interaction, in which a physical challenge acts upon the identropy, and in which the identropy as a reaction to the challenge will provide a physical response. In some embodiments, the response(s) described above is encrypted. In some embodiments, the resulting decrypted and optionally decompressed code can be compared to the digital response that was retrieved upon the challenge by the authentication device to estimate a trust score, such as a trust quotient.

The invention provides a three-party data automatic charging method and system based on a large model and electronic equipment, and the method comprises the steps: automatically reading and understanding charging rules and terms in a contract, and converting the charging rules and terms in the contract into structured data, including: cleaning contract documents and transaction data; training an NLP model by using the labeled contract data set, so that the NLP model can understand contract terms; calculating cost according to contract rules, and dynamically adjusting a charging strategy; recording the detailed process and basis of each charging, and providing a report; providing an interface to monitor a charging state, adjusting a charging rule, and checking a charging result; multiple layers of security measures including data encryption, access control and anomaly detection are implemented, security of sensitive data is ensured, and unauthorized access and data are prevented. According to the invention, an advanced artificial intelligence technology, especially a large-scale language model, is utilized to process and analyze a complex commercial contract text, so that charging rules are automatically identified and applied to third-party data.

This invention belongs to the interdisciplinary field of information technology, fintech, and distributed systems, specifically relating to a privacy-preserving multi-party collaborative reconciliation method and system based on value codes. More specifically, this invention relates to a trusted reconciliation scheme that utilizes programmable "value codes" as the core reconciliation carrier. It aims to solve problems such as inconsistencies in transaction records among multiple participants, cumbersome reconciliation processes, excessive manual intervention, difficulties in dispute resolution, and data privacy leaks by constructing a distributed, auditable, highly transparent, and privacy-preserving reconciliation infrastructure. This solution is applicable to various business scenarios requiring efficient, accurate, and trusted reconciliation, such as cross-institutional transaction clearing, supply chain collaborative reconciliation, multi-party profit sharing verification in platform-based economies, and cross-border business transaction reconciliation. This invention breaks through the limitations of traditional ledgers, inventing value codes as a measure of human value, and constructing a trusted reconciliation axiomatic system based on information economics and game theory. The core algorithm of the system integrates: a transaction energy level mapping operator based on log-normal distribution, a reconciliation utility evaluation model based on Milgrom's information value equation, and a non-cooperative game-theoretic collaborative engine based on Nash algorithm.