30 results about "TRADACOMS" patented technology

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.

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 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.

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 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.

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.

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.

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.

The invention provides a method for native compilation and deployment of a time sequence interference radar processing tool chain ISCE2 and MintPy on a domestic ARM architecture. Aiming at three bottlenecks of poor compilation compatibility, difficulty in dependency library collaboration and huge virtualization computing power loss faced by migration from x86 to ARM architecture, the method eliminates nonstandard path hard coding errors through a dynamic path repair mechanism, establishes a hybrid dependency scheduling system, solves symbol conflicts and ABI incompatibility, and deeply optimizes an instruction set to realize performance maximization. Through strict verification, the compiling success rate is remarkably improved to 100% from less than 50%, the computing power utilization rate reaches 100%, the global first set of full-function ARM time sequence InSAR processing system is successfully constructed, and the performance approaches or even exceeds that of an x86 platform under the same hardware scale. The method is completely based on an open source scientific calculation library, the commercial authorization cost is avoided, a full-stack localization technical chain from a chip, an operating system to application software is realized, and important localization technical support and diversified selection are provided for satellite remote sensing deformation monitoring and geological disaster early warning.

A system (100) for automated account, call and sample reconciliation in commercial life sciences operations, the system comprising: an agent-based AI orchestration engine (1) configured to independently initiate, sequence, and manage voting workflows across multiple data sources; a relational data warehousing and lineage layer (2) configured to ingest, normalize, correlate and store structured operational data associated with accounts, calls and samples; an MDM synchronization and golden record management module (3) configured to synchronize master data entities and generate consistent golden records across different platforms; an engine for reconciling accounts, calls and samples (4) configured to compare related records across the synchronized records and to identify mismatches, missing links, duplicate records and transaction inconsistencies; a module for compliance rules, exception notifications and policy validation (5) that is configured to validate reconciled data against predefined business, regulatory and sample responsibility rules; a human-in-the-loop workflow, recommendation, and resolution console (6) configured to present detected exceptions along with corrective suggestions and to enable user-assisted or automated resolution; and a module (7) for audit analysis, continuous learning and reporting, configured to generate audit trails, reconciliation summaries, performance analyses and adaptive learning updates based on historical exception resolution results.

The application discloses a kind of contract and commercial text's auditing method and system based on multi-model fusion, it is related to computer information processing technical field, it solves the problems that only risk can be identified in prior art, cannot provide correction suggestion, poor multi-scene adaptability, auditing rule timeliness is insufficient and lack of traceability capability, the method comprises: constructing compliance risk atlas and knowledge base and updating data in real time, pre-processing is carried out on the file to be audited, multi-model fusion strategy is used to analyze the pre-processed file to be audited to obtain text analysis result, multi-dimensional auditing and risk determination are carried out on text analysis result to obtain auditing result and risk point and its corresponding risk level, based on compliance risk atlas and knowledge base, generate the auditing report containing legal basis and correction suggestion, can greatly improve auditing efficiency and risk identification accuracy, realize whole-process closed loop, compliance risk caused by rule lag is avoided simultaneously.

The invention discloses a titanium forging full life cycle production data traceability management system based on a block chain, and relates to the technical field of data traceability. A model presetting module; a parameter acquisition module; a state mapping module; a business rule engine module; and a traceability management module. By comparing the real-time processing parameters with the material physical response logic, the physical authenticity of the production data is verified, the data counterfeiting is effectively prevented, the tampering-free evidence chain covering the whole life cycle is constructed by using the distributed account book technology, and the transparency and traceability of the supply chain data are ensured. In addition, through statistical analysis of process stability, early warning and management and control of quality risks are realized.

This invention relates to the field of intelligent business operation technology, and discloses a method for implementing a meta-business district with a multi-agent architecture. By collecting geographical and IoT data of the business district, a digital twin foundation is constructed through spatiotemporal alignment and fusion. Based on this, a lightweight model containing autonomous decision-making sub-agents is deployed across three layers: edge, cloud, and endpoint. By constructing a spatiotemporally heterogeneous graph representation and utilizing graph attention convolutional networks for learning, the system can output hierarchical embedding vectors and a lightweight inference model. This, combined with a hierarchical communication protocol based on an attention mechanism, enables efficient collaborative negotiation. By integrating hierarchical reinforcement learning, adversary modeling, and curriculum learning techniques, the decision-making strategies of parent and child agents are further optimized, and simulation verification and closed-loop deployment are completed in a digital twin environment. This method ultimately achieves intelligent collaborative operation and adaptive optimization of the business district, and supports autonomous decision-making and customized configuration of sub-agents within each agent.

The application provides a non-regular topology NoC single-multicast forwarding and deadlock avoidance method and system, and the method comprises the following steps: adopting a routing table form to perform communication data routing forwarding under a non-regular topology; adopting a regular internal fixed forwarding release method to perform deadlock avoidance and destroy a ring data flow leading to deadlock generation; constructing a NoC interconnection system according to non-regular topology information, a routing table and a release path table and configuring various routing parameters; inputting single-multicast data flow of a specific task after completion of the configuration, performing data flow forwarding and summarizing and evaluating performance. Through efficient path searching and regular data release, the application ensures that the NoC system will not be affected by potential deadlock performance caused by complex environment and increased flow under the condition of ensuring short path and low delay, solves the difficulty of routing under a non-regular topology, and has important application value and commercial potential.

A system and method for handling missed video calls by allowing a receiver to create a personalized video, voice, or no message to be played when they are unable to answer a call. The system determines the receiver's availability and, if unavailable, retrieves and streams the prerecorded message to the caller. After the message, the caller is given the option to leave a video voicemail message or hang up. If a video voicemail is left, the system stores the message and notifies the receiver. The invention enhances the communication experience by providing a more engaging and personalized way to handle missed video calls, with messages tailored for business or personal purposes. The system can be implemented using various technologies, such as video conferencing software, mobile applications, or web-based platforms.

This application relates to the field of data security verification technology, specifically to a method for verifying the security of commodity supply chain data based on blockchain technology. The method includes: determining a comprehensive reputation value based on the difference in data deviation between successful and failed block verifications of each authoritative node within a rotation cycle, the number of successful block verifications, and an initial reputation score; determining a reputation value by analyzing the confidence levels of various supply chain data between each applicant node and any authoritative node at the current moment, and combining this with the comprehensive reputation value; and rotating the authoritative nodes in the current blockchain network based on the comprehensive reputation value and the reputation value. This application solves the problem of data tampering or incorrect on-chain uploads caused by fixed nodes, improving the transparency and trustworthiness of data security verification throughout the entire commercial supply chain.

The application discloses an execution method and device of a smart contract, and relates to the technical field of digital currency. A specific implementation of the method comprises the following steps: in response to a smart contract execution request, calling an application layer contract to execute business logic processing, and constructing fund layer contract parameters required for fund layer contract execution; and according to the business logic and the fund layer contract parameters, calling the fund layer contract through the application layer contract to execute fund processing. The implementation can separate the application logic processing from the fund processing in a commercial scenario, and the contract responsibility is clear and the logic processing is simple; and the complex contract can be realized by combining simple contracts through the calling between the smart contracts, so that the implementation is suitable for more commercial application scenarios.

A system and method for handling missed video calls by allowing a receiver to create a personalized video, voice, or no message to be played when they are unable to answer a call. The system determines the receiver's availability and, if unavailable, retrieves and streams the prerecorded message to the caller. After the message, the caller is given the option to leave a video voicemail message or hang up. If a video voicemail is left, the system stores the message and notifies the receiver. The invention enhances the communication experience by providing a more engaging and personalized way to handle missed video calls, with messages tailored for business or personal purposes. The system can be implemented using various technologies, such as video conferencing software, mobile applications, or web-based platforms.

This invention discloses a method and system for batch content remixing based on encapsulated style assets, belonging to the field of artificial intelligence content generation technology. The method includes: receiving and encrypting a style asset package uploaded by a creator, containing guiding prompts, sample examples, and style parameter configurations, generating a style asset identifier set; receiving the original content input by the user and the selected target style asset identifier; the server decrypts the corresponding asset package according to the identifier, semantically integrates it with the original input, and generates remixing prompts; calling a content generation model to generate stylized content output; recording the number of calls and automatically distributing revenue to the creator according to a preset ratio. This invention decouples style from prompts into independently manageable, tradable, and measurable digital assets. Through server-side black-box integration and encryption protection, it achieves a closed loop of batch, high-quality production of stylized content and sustainable commercial returns while ensuring the security of the creator's core assets.

1. Name of the product in this design: Financial POS Terminal (T8L). 2. Application of this design: for data collection, financial card payment terminals, commercial retail terminals, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

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 provides a product marketing method, device and equipment for realizing an agent based on robot process automation RPA, artificial intelligence AI and a large language model LLM, and a storage medium. The product marketing method comprises the steps that key features related to commercial cooperation are extracted from trade related data of potential customers, the cooperation value of the potential customers is determined based on the key features, and the key features comprise the number of product orders, the amount of transaction and / or the number of imports and exits; the potential customers with the cooperation values meeting the requirements serve as to-be-mined customers, and product promotion content matched with the to-be-mined customers is generated; sending the product promotion content to the corresponding to-be-mined customer; feedback content of the customer to be mined about the product promotion content is identified to determine a cooperation intention. Through adoption of the technical scheme, the problem of low efficiency of manual follow-up of the potential customers is solved, and the follow-up efficiency and the cooperation success rate of the potential customers are effectively improved.

The application discloses a counterfeiting point tracing method based on big data and anti-reuse labels, relates to the technical field of anti-counterfeiting and tracing, and comprises the following steps: reading the anti-reuse label, sequentially completing warehouse entry matching, warehouse exit screening, case binding and logistics handover binding, generating a to-be-read code set, an anti-reuse state and a commercial node sequence; comparing the actually read code set with the to-be-read code set, extracting a missing code set and a newly added code set, and forming an abnormal record set; generating a batch abnormal collection record, calling the commercial node sequence, generating a commercial boundary set, generating an interval abnormal record, determining a minimum commercial boundary set, and generating a candidate node record; solidifying a commercial handover chain, generating a counterfeiting point tracing record, limiting the business action of an abnormal chip identity code, and updating the associated commercial handover batch to-be-read code set; and realizing continuous connection between abnormal identification, commercial boundary positioning, business action limitation and newly added abnormal backflow, and forming a closed-loop counterfeiting point tracing process.