277 results about "Dummy data" patented technology

The invention belongs to the technical field of federated learning, and particularly relates to a self-adaptive bilateral distillation personalized federated learning method based on a diffusion model. According to the method, a guidance mechanism is designed, so that mutual distillation is carried out between a global model and a local model, efficient transmission of knowledge is realized, and the adaptability of a personalized model to specific data distribution of a client is enhanced. Meanwhile, a conditional diffusion model is introduced to generate high-quality pseudo data, and the aggregated global model is finely adjusted by using the pseudo data. The process not only effectively makes up global information possibly lost in the local-global mutual distillation process, but also further optimizes the performance of the global model. By combining the mutual distillation and conditional diffusion fine tuning technology, the data privacy is protected, meanwhile, the balance between the personalized performance and the global generalization ability is achieved, and the method is suitable for a multi-client cooperation scene in a non-independent identically-distributed non-IID data environment.

Apparatuses, systems, and techniques to perform a cryptographic operation using multiple iterations, wherein each iteration includes two or more stages operating in parallel on inputs derived from a common value, one of the stages computing real data and other stages computing dummy data.

Non-transitory computer readable storage mediums have instructions executed by processors to convert a first list at a first server into a first encrypted, permuted list with first dummy data elements and form a first encrypted linked list of pointers to locations in the first encrypted, permuted list. A second list at a second server is converted into a second encrypted, permuted list with second dummy data elements and a second encrypted linked list is formed of pointers to locations in the second encrypted, permuted list. Elements of the first encrypted, permuted list are combined with elements of the second encrypted, permuted list into a merged, sorted list of secret sharings, where the merged, sorted list of secret sharings is formed solely utilizing local computations at the first server, local computations at the second server and communications solely between the first server and the second server.

A system may receive request electronic data messages and counter-request electronic data messages from various network participant nodes within a defined time interval. The system may extract data from the electronic data messages to generate input codes including indicators that characterize execution values and imputed variability levels for the electronic data messages and / or characterize the message types of the electronic data messages. The input codes are used to generate a time-interval-specific support vector machine for the defined time interval. The system may then generate dummy data including execution value and imputed variability level tuples. The dummy data is used to map boundary levels from the time-interval-specific support vector machine versus execution values.

The invention discloses a network intrusion detection method based on a self-attention residual generative adversarial network, which belongs to the technical field of network intrusion detection and comprises the following steps: collecting network flow data, and preprocessing the network flow data to obtain real training data; a FARD-WGAN-GP model is constructed and trained, and hybrid pseudo data is generated based on the trained FARD-WGAN-GP model; constructing a time sequence attention detection model; training a time sequence attention detection model based on the real training data and the pseudo data; network intrusion real-time detection is carried out based on the trained time sequence attention detection model; on the basis of the real-time detection result, optimizing the FARD-WGAN-GP model, and on the basis of the optimized FARD-WGAN-GP model, optimizing the time sequence attention detection model; and carrying out network intrusion detection based on the optimized time sequence attention detection model. According to the method, the quality of the generated data is improved, and the detection accuracy is improved.

Methods for transmitting asynchronous event data via synchronous communications interfaces (and associated imaging systems) are disclosed herein. In one embodiment, an imager comprises an array of event vision pixels, a synchronous communications transmitter configured to transmit frames of data to a synchronous communications receiver, and a timer configured to indicate when a threshold amount of time has elapsed. The pixels can generate event data based on activity within an external scene. The imager can be configured to insert available event data into a payload of the current frame during a first time period before the frame timer indicates that the threshold amount of time has elapsed, pad the payload with dummy data during a second time period after the frame timer indicates that the threshold amount of time has elapsed, and transmit (using the synchronous communications transmitter) the current frame of data to the synchronous communications receiver.

The invention discloses a logistics freight vehicle transportation supervision system and method based on the Internet of Things, and relates to the technical field of vehicle transportation supervision, the supervision system is constructed based on multi-source data fusion and hierarchical anomaly detection, and the problems of false data and signal interference which are difficult to identify in traditional supervision can be effectively solved; through multi-level comparison and block chain evidence storage, supervision blind areas caused by manual tampering or equipment faults are greatly reduced; meanwhile, the self-learning analysis module dynamically recognizes repeated or regular pseudo data, and by iteratively updating a threshold value and improving an early warning level, false alarms can be remarkably reduced, and accurate positioning of potential anomalies can be enhanced; the real-time performance and traceability of freight vehicle transportation supervision are improved, and the method has significant improvement value for the traditional mode which depends on a single data source and lacks a rapid verification mechanism.

The invention discloses a visual question-answering system based on multi-modal knowledge autonomous learning and a construction method, and belongs to the technical field of artificial intelligence. The invention provides a visual question and answer model construction method fusing image information, natural language questions and external knowledge. A knowledge dynamic screening and replacement strategy is constructed by introducing an autonomous evolution mechanism, and whether knowledge is inserted or updated can be judged according to a current training state and knowledge similarity, so that the problem that a traditional static knowledge base cannot adapt to task changes is solved. According to the method, through pseudo data construction and multi-modal triple extraction, structured and high-association-degree'image-question-answer 'knowledge representation is established, so that knowledge has better semantic expression ability, and redundancy and noise are effectively reduced. According to the method, rapid retrieval and active calling of knowledge are achieved by means of the vector indexing technology, key support information can still be obtained in a complex scene, and the expression of the model in a visual question-answer task based on knowledge is remarkably improved.

A first ECU and a plurality of second ECUs are connected to a communication bus. The first ECU repeatedly transmits a beacon signal through the communication bus. Each of the first ECU and the plurality of second ECUs transmits data according to an order set in advance when the beacon signal is transmitted. The first ECU or the second ECU transmits dummy data whose transmission destination is different from the remaining ECUs when there is no transmission data to be transmitted to one of the remaining ECUs other than itself.

The invention discloses a dam safety detection method and system based on multi-source detection data, and relates to the technical field of dam safety detection, and the method comprises the steps: cooperatively collecting dam multi-source data through multiple platforms and multiple sensors; the collected multi-source data are preprocessed; constructing a multi-scale teacher network, and performing high-precision feature learning and risk quantification by using labeled multi-source data; teacher network knowledge migration is carried out through a knowledge distillation technology, and a lightweight student network is trained in combination with cross-domain pseudo data; and deploying the trained lightweight student network to an unmanned aerial vehicle or a robot dog, and carrying out dam safety real-time detection. Through integration of multi-source data acquisition, cross-domain mutual training of teachers and students, lightweight model deployment and automatic early warning decision, pain points of single data, difficulty in cross-domain adaptation, insufficient precision, deployment limitation and low efficiency are solved, the system can be directly deployed on an unmanned aerial vehicle or a robot dog, dependence on cloud computing power is not needed, data acquisition and analysis time delay is reduced, and the system can be widely applied to unmanned aerial vehicles or robot dogs. And emergency scenes are quickly responded.

To provide an analyte monitoring system, device, and method which can maintain compliance with wireless protocol requirements to resolve issues that may arise when wireless communication is executed according to a protocol with timing requirements that do not consider processing and other delays that may exist in the analyte monitoring system.SOLUTION: Example embodiments of systems, devices, and methods are described for communication in an analyte monitoring system in accordance with an applicable communication protocol. A first device of the system may transmit a command to a second device of the system and the second device may encounter a processing delay in preparing data responsive to the command. The second device may transmit dummy data to the first device in order to maintain compliance with the communication protocol until such time that the second device is ready to transmit data responsive to the command. Numerous different embodiments for incorporating and / or accommodating the presence of dummy data in a communication hierarchy are provided.SELECTED DRAWING: Figure 4C

A method for performing data access management of a memory device in predetermined communications architecture to enhance sudden power off recovery (SPOR) of page-group-based redundant array of independent disks (RAID) protection with aid of suspendible serial number and associated apparatus are provided. The method may include: utilizing the memory controller to write preceding data and metadata thereof into at least one set of preceding pages in a first active block to make the metadata carry at least one preceding serial number; writing dummy data and other metadata into at least one set of dummy pages in the first active block to make the other metadata carry at least one suspended serial number which is equal to a last serial number among the at least one preceding serial number; and utilizing the memory controller to write subsequent data and metadata thereof to make it carry at least one subsequent serial number.

A method can include performing a single-read operation at a read reference voltage to detect bits from memory cells. The method can also include determining second bits corresponding to the set of memory cells, the second bits corresponding to data being initially programmed into the set of memory cell. The method can further include determining a read voltage based on the first bits and the second bits.

To provide a water quality determination device and a water quality determination method that are capable of detecting abnormalities with high accuracy without erroneous detection.SOLUTION: An image data storage unit 101 stores image data of a water surface photographed by a network camera. An image data processing unit 102 processes the image data and outputs the processed image data. An image data expansion unit 103 generates abnormal dummy data from the processed image data. A learning processing unit 104 performs learning using the abnormal dummy data as teacher data, and stores learned parameters in a parameter storage unit 105. An abnormal estimation unit 106 processes the processed image data using the learned parameters and outputs a segmentation map. A water quality assessment unit 107 assesses whether a water quality is normal or abnormal based on a predetermined threshold value and the segmentation map, and outputs water quality assessment result data indicating an assessment result.SELECTED DRAWING: Figure 1

The present invention provides a method for controlling a flash memory module. The flash memory module includes a plurality of dies, each die includes a plurality of blocks, each block includes a plurality of pages, and the method includes the steps of: selecting a super block, wherein the super block includes a plurality of first blocks respectively located in the plurality of dies; for each first block in the super block, determining whether the first block is a full block or a blank block; and if the first block is not the full block or the blank block, writing dummy data to the first block so that the first block becomes the full block; and erasing the plurality of first blocks in the super block, so that the plurality of first blocks become a plurality of blank blocks.

The invention discloses an intelligent fault monitoring method, device, equipment and system for a security camera, and relates to the related field of intelligent management of image communication equipment, and the method comprises the steps: carrying out the multi-mode data collection of the security camera; standardization processing and feature extraction are carried out, and multi-resolution image features, time sequence network features and hardware state features are generated; calling a pre-training generator to generate pseudo data simulating a normal state; inputting the multi-modal data collected in real time and the pseudo data into a pre-training discriminator for comparison, and outputting an abnormality determination result; and performing fault analysis according to the abnormality judgment result, and generating a fault monitoring result. The technical problems of low monitoring precision and poor reliability caused by the fact that an existing fault monitoring method for the security and protection camera cannot comprehensively cover the operation state of the camera are solved, and the technical effects of comprehensively and accurately monitoring the fault of the security and protection camera and improving the monitoring precision and reliability are achieved.

The invention discloses a rapid yield analysis method based on xgboost proxy model truncation sampling, and the method comprises the following steps: generating a first random sample point set, and obtaining a training set through simulation; constructing a proxy simulator, and training the proxy simulator by using the training set; generating a second random sample point set, and inputting the second random sample point set into the proxy simulator to obtain a pseudo data set; establishing a filter, determining two hyperspherical surfaces based on the pseudo data set, dividing a process parameter space, evaluating a safety coefficient and the probability that a sample point enters a real simulator, and simulating the sample point of the process parameter space according to the probability to obtain a real sample set; iteratively optimizing the hyper-spherical surface and the proxy simulator by using the real sample set until convergence to obtain a final safety coefficient; and generating a third random sample point set, carrying out truncation sampling and failure discrimination by combining a real simulator and an agent simulator, and carrying out statistics on the final yield. According to the method, the xgboost network is adopted as an agent model to reduce the simulation cost, the sample size is reduced through truncation sampling, and rapid and accurate prediction of the yield of the integrated circuit is realized.

The invention relates to a bus hang-up prevention method and device and a chip. The method comprises the following steps: receiving and analyzing an access request sent by a master device, obtaining a request identifier and a response message parameter of the access request, and storing the response message parameter in a timeout detection information storage table; registering a corresponding relation between the access request and an overtime response timer according to the request identifier, and starting the overtime response timer; and when the overtime response timer is overtime, sending pseudo data corresponding to the access request to the master device according to the response message parameter corresponding to the access request in the overtime detection information storage table. By adopting the method, independent interception of partial access requests and corresponding response messages can be realized.

Performance evaluation of a heterogeneous hardware platform includes implementing a traffic generator design in an integrated circuit. The traffic generator design includes traffic generator kernels including a traffic generator kernel implemented in a data processing array of the integrated circuit and a traffic generator kernel implemented in a programmable logic of the integrated circuit. The traffic generator design is executed in the integrated circuit. The traffic generator kernels implement data access patterns by, at least in part, generating dummy data. Performance data is generated from executing the traffic generator design in the integrated circuit. The performance data is output from the integrated circuit.

A memory device includes an array of memory cells associated with a plurality of wordlines and control logic operatively coupled with the array of memory cells. The control logic can receive a program command comprising a digital value indicating that a physical address of the program command corresponds to a retired wordline of the plurality of wordlines. The control logic can generate dummy data in response to detecting the digital value within the program command. The memory logic can cause the dummy data to be programmed to memory cells that are selectively coupled to the retired wordline.

The invention discloses a multi-sensor fusion method and system based on a ship-borne six-degree-of-freedom stabilized platform. The method comprises the following steps: acquiring environment data and platform state data; calculating a first information entropy of the environment data and a second information entropy of the platform state data; calculating a consistency index between the environment data and the platform state data; determining the probability density of the pseudo data according to the first information entropy, the second information entropy and the consistency index; if the probability density is greater than a preset threshold value, performing Gaussian distribution fusion on the environment data and the platform state data to obtain a first environment perception feature group; if the probability density is smaller than or equal to a preset threshold value, performing centralized fusion on the environment data and the platform state data to obtain a second environment perception feature group; determining a future motion trend of the ship-borne six-degree-of-freedom stabilized platform through the first environment perception feature group or the second environment perception feature group; and carrying out balance compensation on the ship-based six-degree-of-freedom stabilized platform according to the future motion trend.

The embodiment of the invention provides a memory device, an operation method of the memory device and a memory system, and the memory device comprises a memory unit array and a peripheral circuit coupled with the memory unit array. An operating method of a memory device includes: receiving a first instruction instructing dummy data to be written at a specified location in a memory cell array; in response to the first instruction, generating to-be-written dummy data; and writing the dummy data to be written into the specified position.

The invention relates to the technical field of deep learning, and particularly provides a joint classification method for hyperspectral images and laser radar data. The method comprises the following steps: firstly, extracting multi-scale features of multi-modal data through a decoupling three-branch encoder, and then carrying out attention guidance cross-modal fusion on three initial features of the same scale through an autonomously designed feature fusion module to obtain three multi-modal fusion features of different scales; inputting the deepest fusion feature into a weight sharing decoder, and obtaining pseudo data through a reconstruction task; and the real data and the pseudo data are identified by the structure consistency perception discriminator, and the discrimination loss is returned, so that the encoder parameters are updated, and iteration is performed to the optimal. And finally, inputting the three-scale fusion features obtained based on the optimal parameters into a multi-level feature fusion classifier to complete classification, thereby effectively improving the classification precision, and realizing the adaptive fusion and enhancement of the multi-modal features.

To effectively remove only a characteristic streak-like noise in an X-ray transmission image appearing near a detection limit, and create a good X-ray transmission image that does not largely affect image information other than the streak-like noise.SOLUTION: An image correction method for an X-ray internal inspection system includes: picking up X-ray transmission images of a plurality of dummy analytes that are formed of the same component as a main component of an analyte and different in a thickness from each other to acquire dummy X-ray transmission images DD1-DD4; generating pieces of dummy data DC1-DC4 that are one-dimensional averaged data for the dummy X-ray transmission images DD1-DD4; calculating correction data DCA that is interpolation one-dimensional averaged data corresponding to an analyte with an arbitrary thickness d to be inspected through interpolation processing using the dummy data DC1-DC4; irradiating the analyte with an X-ray to acquire a pre-correction image that is a pre-correction X-ray transmission image; and executing correction using the correction data DCA on the respective pixels in the scanning direction of the pre-correction image to remove a streak-like noise DL from the pre-correction image and thereby create a post-correction image.SELECTED DRAWING: Figure 10

The present technology relates to a wireless communication device and a method, in which packets can be efficiently relayed with low latency.The wireless communication device performs direct relay transmission in which a pseudo data frame, in which a packet of a data signal transmitted from a first another wireless communication device is set as another information, is generated, information based on each received packet for which error detection is performed is overwritten on each pseudo data frame to generate a data frame, and the data frame is sequentially output, and performs control to transmit the sequentially output data frames to a second another wireless communication device. The present technology can be applied to a wireless communication system.

A server determines an array [[addr]] indicating a storage destination of each piece of data, generates an array of concealed values, and connects the generated array to the array [[addr]] to determine an array [[addr′]]. The server generates a sort permutation [[σ1]] for the array, applies the sort permutation [[σ1]] to the array [[addr′]], and converts the array [[addr′]] into an array with a sequence composed of first Z elements set to [[i]] followed by αi elements set to [[B]]. The server generates a sort permutation [[σ2]] for the converted array [[addr′]], generates dummy data, imparts the generated dummy data to the concealed data sequence, applies the sort permutations [[σ1]] and [[σ2]] to the data array imparted with the dummy data, and generates, as a secret hash table, a data sequence obtained by deleting the last N pieces of data from the sorted data array.

In the field of payment terminals, a new generation of feature-rich payment terminals is emerging. These payment terminals are mass-produced and the level of security provided for data entry operations is low because the primary function of these communication terminals is not the entry of sensitive data. As a result, the data relating to payment transactions entered via these payment terminals are entered with a level of security that is not adequate as regards the sensitivity of the data entered. Accordingly, a communication terminal is provided, which secures data entered via a user interface of a communication terminal, by transmitting them among a stream of dummy data, and by encrypting all data, those actually entered by a user and the dummy data, before the transmission thereof to a secure data processing device.

Systems and methods are disclosed to provide a security framework for the authentication of digital content and the prevention of unauthorized modifications, especially targeting the vulnerabilities introduced by deepfake technologies. It innovates by merging reverse engineering with expression manipulation detection to discern genuine from altered digital media. The process involves comparing historical data against synthetic or real-time content, generating a “video mesh” that enables precise manipulation identification. Enhanced by Smart Contracts for each content piece to record and verify changes, this system advances digital identity and transaction security significantly beyond current methodologies. Furthermore, it employs Generative AI within the Identity Intelligent Clip Reviewer to scrutinize blockchain-secured data for manipulation signs, issuing a Proof of Digital Manipulation (PODM) for verified authenticity. This comprehensive method ensures the integrity and trustworthiness of digital interactions across various platforms, marking a significant step forward in the protection against sophisticated cyber threats and unauthorized data alterations.

A memory system according to an embodiment outputs read enable signals RE and / RE during a standby time tWHR2 required for processing for outputting to a controller, and outputs dummy data preset in signals DQS and / or DQS and DQ from an output circuit.

This provides a machine learning technique that can suppress overfitting of new knowledge when applying IFSL to SaB. [Solution] This disclosure provides a machine learning device 100 that performs continuous learning based on a small number of new class data compared to basic class data, comprising: a pre-training module 30 that learns the weights of a neural network (NN) using basic class data; a pseudo-continuous learning module 40 that learns the weights of the NN learned by the pre-training module 30 using pseudo-data generated based on the basic class data; and a new class learning module 50 that learns the weights of the NN learned by the pseudo-continuous learning module 40 using basic class and new class data.