751 results about "Data terminal" patented technology

Apparatuses, systems, and methods for bounded fault compliant metadata storage. Memory devices include a first data terminal and a second data terminal. As part of an access operation a first set of data and a first set of metadata may be sent / received across the first terminal and a second set of data and a second set of metadata may be sent / received across the second terminal. The first set of metadata may be stored in a first location and the second set of metadata may be stored in a second location in the memory array, such as a first and second column plane. The two locations may be remote from each other.

The invention is suitable for the technical field of power transmission line alarm, and provides a power transmission line alarm method based on fault data flow dynamic analysis and lightweight compression, and the method comprises the steps: a terminal collects line state data in real time through a multi-mode sensor disposed on a power transmission line; the terminal carries out lightweight compression processing on the line state data, lossless compression is carried out on steady state data by using improved Huffman coding, and lossy compression is carried out on transient fault data by using combination of wavelet transform and sparse coding; the terminal uploads the compressed data to the cloud according to a preset priority scheduling rule; the cloud end automatically identifies a data format and decompresses the data format through a protocol non-inductive analysis engine, and reconstructs a transient waveform; performing space-time correlation analysis on the analyzed line data, meteorological data and a historical fault library, and calculating a fault confidence coefficient; and according to the fault diagnosis result, generating a grading alarm instruction, and transmitting the grading alarm instruction to the terminal for visualization, thereby improving the power grid fault response speed and the operation and maintenance intelligent level.

The invention discloses an intelligent fitness method and system. The intelligent bodybuilding method comprises the steps that the bodybuilding equipment receives a bodybuilding situation instruction and provides a corresponding motion mode for a user; the fitness equipment collects fitness data of the fitness equipment and feeds back the fitness data to the terminal; the terminal collects the fitness data and sends the fitness data to the cloud server; the cloud server processes the fitness data based on a pre-trained model and returns an interaction command to the terminal according to a processing result; and the terminal sends the interaction command returned by the cloud server to the fitness equipment, so that the fitness equipment updates the exercise mode of the fitness equipment. According to the technical scheme, efficient transmission and comprehensive analysis of the fitness data can be realized through interaction of the fitness equipment, the terminal and the cloud server, and a proper fitness situation instruction can be given by utilizing the pre-trained model in combination with the fitness condition of the user, so that the exercise mode is dynamically adjusted, and the user experience is improved. Personalized and intelligent fitness services and fitness guidance are provided for the user, and the fitness experience of the user is improved.

Apparatuses, systems, and methods for adjustable write timing. Memory devices include a first data terminal and a second data terminal. As part of an access operation a first set of data and a first set of metadata may be sent / received across the first terminal and a second set of data and a second set of metadata may be sent / received across the second terminal. When a first setting is enabled, the first set of metadata may be stored in a first location and the second set of metadata may be stored in a second location in the memory array, such as a first and second column plane. The two locations may be remote from each other. When disabled, the metadata may be stored in a single location. A second setting may be used to adjust a write delay to account for different timing when the first setting is enabled vs disabled.

The invention relates to the technical field of big data analysis, and discloses a new energy automobile intelligent fast charging scheduling method based on multi-source data analysis, which comprises the following steps: S1, collecting multi-source charging scheduling data: constructing a charging scheduling multi-source data set; s2, multi-source data preprocessing and fusion: obtaining a charging scheduling fusion decision data set; s3, generating a charging scheduling decision: making the charging scheduling decision; s4, instruction issuing and execution control; s5, real-time monitoring and dynamic adjustment: dynamically adjusting a charging strategy; s6, feedback collection and optimization iteration are carried out; multi-source charging scheduling data are collected in real time through a vehicle-mounted terminal, a charging pile terminal, a power grid monitoring terminal and a traffic environment data terminal, a charging scheduling strategy is formulated through a cloud server, opinions are continuously fed back to a mobile phone user through a man-machine interaction terminal, charging scheduling feedback evaluation is carried out, model parameters are optimized, full-dimensional data driving is achieved, and the charging scheduling efficiency is improved. The charging efficiency is effectively improved, and the user experience is comprehensively optimized.

The invention discloses a bus passenger getting-on station estimation method based on multi-source data fusion, and relates to the field of public traffic operation planning and management, and the method comprises the steps: obtaining multi-source sample data, and carrying out the integration processing, and obtaining database storage information; processing and extracting by using the public transport data preprocessing terminal to obtain a public transport operation time parameter; segmenting and constructing a fixed threshold time window; matching the intelligent card data to obtain an intelligent card data set of the candidate site; performing first data screening, constructing a candidate site group, and calculating by using a maximum likelihood estimation model to obtain a first data set of a determined site; performing second data screening and division to obtain a time sequence subset, and performing prediction by using a prediction neighbor information algorithm to obtain site information of the second data; and carrying out unified site numbering to obtain a site matching data set, and carrying out verification by using a multi-dimensional data terminal to obtain an evaluation result of the multi-dimensional data. According to the method, key field dependence is broken through, and data adaptability is improved.

A cybersecurity data loss prevention service stops users from stealing, or exfiltrating, sensitive data. An endpoint cybersecurity agent coordinates the installation of a browser extension. The browser extension adds content scripts to a web browser that monitor for exfiltration events. The exfiltration events represent a user's browser inputs (such as cut-n-paste or drag-n-drop) that can be used to exfiltrate usernames, passwords, credit card numbers, company secrets, and any other sensitive data. When the browser extension detects any exfiltration event, the browser extension intercepts and synchronously blocks the exfiltration event from the web browser. Moreover, the browser extension sends a duplicate copy of the exfiltration event to the cybersecurity agent for evaluation. If the cybersecurity agent determines that the user's browser inputs should have been allowed, then the browser extension is instructed to trigger the duplicate copy. The web browser thus asynchronously processes the user's browser inputs, albeit slightly delayed.

The invention provides a network abnormal behavior detection and dynamic defense method and system, and the method comprises the steps: collecting multi-source data which comprises network flow data, terminal behavior data, application log data and threat intelligence data; performing anomaly analysis on the network flow data through an auto-encoder to obtain an anomaly result; taking the terminal behavior data, the application log data and the threat intelligence data as input data; analyzing the input data through a graph neural network to obtain a transverse penetration behavior; performing strategy adjustment, dynamic isolation and vulnerability repair according to the attribute of the abnormal result and the attribute of the transverse penetration behavior; through anomaly detection of the graph neural network and anomaly detection of the auto-encoder, novel unknown network threats and intrusion attacks are effectively dealt with; the accuracy of network threat alarm is effectively improved; and automatically optimizing a detection model and a defense strategy based on environment change and attack feedback.

The invention discloses a federated game vulnerability detection method, device and equipment based on privacy protection, relates to the technical field of network security protection, and aims to solve the problem of data leakage in the existing network security detection process. The method is applied to a vulnerability detection system, and the vulnerability detection system comprises a central server and a plurality of data terminals. The method comprises the following steps: constructing a trusted environment between a central server and a plurality of data terminals by using a block chain smart contract, and generating a federated learning protocol integrated with homomorphic encryption; a plurality of data terminals obtain privacy parameters through a federated learning protocol, and process local data by adopting a differential privacy technology of dynamic sensitivity and privacy parameter adaptive adjustment so as to send an encrypted perturbation gradient data set to the central server; the central server executes encryption weighted aggregation, and generates anti-collusion global model parameters through threshold decryption; and distributing the global model parameters to a plurality of data terminals, so that the plurality of data terminals execute vulnerability detection.

The invention relates to a flash program protection circuit and a flash program protection method, in particular to a flash program protection circuit and a flash program protection method in a power failure process of equipment, and solves the technical problem that an operation instruction of a flash chip is sent by mistake due to unstable core voltage of a main control chip in the power failure process of the equipment, so that the flash program is rewritten or erased. The single-pole double-throw analog switch is additionally arranged between the chip selection end of the main control chip and the chip selection end of the flash chip and / or between the data end of the main control chip and the data end of the flash chip, so that the main control chip is communicated with the chip selection end of the flash chip and / or the main control chip is communicated with the data end of the flash chip when the system is powered on, and is disconnected when the system is powered off; the chip selection signal and / or the data signal are / is disconnected, so that an operation instruction generated by the main control chip cannot be sent to the flash chip, and a flash program stored in the flash chip is prevented from being erased or rewritten.

The invention provides a power transformation equipment fault detection method, device and equipment and a storage medium, and relates to the technical field of power transformation equipment fault detection.The method comprises the steps that an electrical data monitoring terminal and an environment monitoring sensor are deployed at a power transformation equipment node, and electrical data and environment parameters at the power transformation equipment node are collected; adaptively adjusting a sampling window based on the collected electrical data and environmental parameters; high-frequency transient characteristics in the electrical data are extracted, abnormal data in the environmental parameters are removed and calibrated, and correlation coefficients of the high-frequency transient characteristics in the electrical data and the environmental parameters are obtained; carrying out weighted fusion on the high-frequency transient characteristics and the environment characteristics based on correlation coefficients, and training a transformer equipment fault detection model; and determining a fault type of the power transformation equipment according to the power transformation equipment fault detection model, and obtaining a fault distance based on the fault type. Through the method, efficient identification of the power transformation equipment fault can be realized, and the fault point can be accurately positioned.

An information processing system, an information processing method, and a program suitable for structure inspection work are provided. [Solution] The information processing device includes a model management device and a terminal device, wherein the model management device stores model data of a structure consisting of multiple components, and the terminal device estimates its own position on the actual structure and corrects the own position using the model data.

The disclosure describes a read-only memory array and a read-only memory thereof. The read-only memory array includes common-source lines, word bit lines perpendicular to the common-source lines, and sub-memory arrays. The common-source lines include a first common-source line and a second common-source line. The word bit lines include a first word bit line and a second word bit line. Each sub-memory array includes four memory cells. Each memory cell has a control terminal coupled to the corresponding word bit line and a data terminal coupled to the corresponding common-source line and the corresponding word bit line. The read-only memory includes a field-effect transistor and a capacitor formed in a semiconductor region. The field-effect transistor and the capacitor commonly include a doped well. The doped well, overlapping the common-source line, is coupled to the common-source line.

The invention discloses a multi-band enhanced infrared optical comb spectrum rare gas detection system in a hollow cavity of building glass, which is characterized in that a line scanning optical frequency comb light source module and a reflective array module jointly form a virtual enhanced cavity to enhance the optical path of an emitted fan-shaped optical comb light beam so as to improve the detection precision; rapid switching of multi-band gas is achieved through an electric filter wheel according to sequential control so as to detect different gases, gas data in a hollow cavity are collected in real time by combining the high-speed collection capacity of a dual-band area array detection module, and a concentration distribution cloud chart of argon and krypton is rapidly constructed based on a data terminal processing module; the detection efficiency and accuracy of the gas in the glass hollow cavity are greatly improved, the synchronous operation of space scanning and wave band switching is realized, and multi-dimensional data of the concentration, the position and the impurity content of multiple gases can be measured and obtained at a time; a polarization filtering function and a temperature field compensation algorithm are integrated, and the detection precision under outdoor strong light and temperature difference environments is ensured.

A wireless communication method and a terminal device are provided. The method includes: a terminal device receiving first indication information, which is used for determining that a first satellite successfully receives mobile-originated (MO) data sent by the terminal device, wherein the MO data is transmitted by using a storage and forwarding mode of the first satellite; and the terminal device caching the MO data, wherein the cached MO data is cleared away in the following cases: the terminal device determining that the MO data is successfully submitted to a core network and / or the cached MO data is invalid.

The invention provides a non-inductive payment method and system, electronic equipment and a storage medium, and belongs to the technical field of public transportation. The method comprises the following steps: performing signature verification on gate signature information received from a target gate to obtain signature verification result information; in response to the condition that the signature verification result information meets a preset verification passing condition, determining a terminal marked timestamp, and performing abstract operation processing on a preset time window and the terminal marked timestamp according to the first key symbol to obtain time abstract data; sending the time summary data and the terminal identification information to a target gate to enable the target gate to generate a gate marking timestamp, and performing data consistency verification based on the time summary data, the terminal identification information and the gate marking timestamp to obtain consistency verification result information; and in response to the consistency verification result information meeting a preset consistency verification passing condition, performing non-inductive payment according to charging information received from the target gate. According to the invention, the security of the non-inductive payment process can be improved.

The invention relates to the technical field of medical data processing, in particular to a multifunctional neurology intelligent diagnosis system based on 5G and Internet of Things. The system comprises a remote neurology data transmission module used for obtaining neurology data through a 5G vehicle-mounted and indoor base station; the edge data processing module is used for performing edge fusion on the neurology data to obtain neurology fusion data, and performing feature extraction on the neurology fusion data by using a preset edge feature extraction model to obtain neurology feature data; the intelligent diagnosis reasoning module is used for performing feature reasoning on the neurology feature data by using a preset deep feature analysis model to obtain feature reasoning data; and the terminal network regulation and display module is used for carrying out broadband distribution on the feature reasoning data so as to carry out data transmission operation and data visualization operation. According to the method, efficient collaboration between the edge and the cloud can be realized, and an interpretable auxiliary service is provided.

The invention discloses a battery pack. The battery pack comprises a battery pack shell; the one or more battery cell modules are arranged in the battery pack shell and can store electric energy; the battery cell module comprises a plurality of battery cell units; the terminal assembly is electrically connected with the battery cell module and comprises a positive terminal, a negative terminal and a data terminal; the battery pack further comprises a battery cell connecting piece and a metal piece; the battery core connecting piece is provided with a main loop part and a branch part; each branch circuit part is electrically connected to the positive electrode end or the negative electrode end of one battery cell unit; the main loop part is connected with each branch circuit part and is electrically connected to the positive electrode terminal or the negative electrode terminal of the terminal assembly; and the metal piece is at least in contact with part of the main loop part of the battery core connecting piece. Heating of the battery cell connecting piece can be improved, and the higher temperature rise requirement of the battery cell connecting piece can be met.

The present application provides a communication method and apparatus, capable of improving the communication efficiency of a terminal device. The method comprises: a terminal device receives first signaling, and sends first uplink data in response to the first signaling; and the terminal device receives second signaling, and sends second uplink data in response to the second signaling, wherein the time interval between the second signaling and the first signaling is less than the time for processing the first uplink data. The first signaling carries a first process number; the second signaling carries a second process number; the first signaling and the second signaling are both used for paging the terminal device, or the first signaling and the second signaling are both used for indicating time / slot resources for random access. The method can reduce the delay between two inventory taking events, thereby increasing the inventory taking rate.

The invention relates to the technical field of data security, in particular to an enterprise data leakage protection method and system based on behavior analysis. The method comprises the following steps: acquiring user keyboard dynamics data, terminal equipment micro-action data and data access flow data; according to the user keyboard dynamics data and the terminal equipment micro-action data, constructing a user biological behavior characteristic fingerprint, and obtaining user behavior characteristic baseline data; according to the data access flow direction data, establishing a data flow direction time sequence diagram to obtain user data access mode data; acquiring real-time user operation behavior data; and performing feature extraction processing on the real-time user operation behavior data to obtain real-time behavior feature data. According to the method, multi-dimensional user behavior characteristic fingerprints are established, more accurate identity confirmation is realized through biological behavior characteristics such as keyboard dynamics and terminal micro-actions, and the problem that the identity is reliable but the behavior is not reliable is effectively solved.

The present application relates to a terminal movement trajectory display method and apparatus, and a computer device, a storage medium and a computer program product. The method comprises: acquiring terminal trajectory data of a target terminal, wherein the terminal trajectory data comprises location information of cells that were historically passed through by the target terminal, and time information of the target terminal passing through the cells that were historically passed through; inputting terminal information of the target terminal, the location information of the cells that were historically passed through, and the time information into a pre-trained passing cell prediction model, in order to obtain a terminal feature, a cell location feature and a time interval feature; then obtaining a cell location feature of a predicted cell to be passed through by the target terminal; and performing feature dimensionality reduction processing on the cell location feature of the predicted cell to be passed through, in order to obtain dimensionality-reduced location information of the predicted cell to be passed through, and on the basis of the dimensionality-reduced location information, generating a predicted movement trajectory of the target terminal and displaying the predicted movement trajectory. The method can implement the display of a terminal movement trajectory.

The invention relates to the field of optical fiber sensing, in particular to a two-way communication method for optical sensing communication, which comprises the following steps: after a base station and a terminal complete handshake connection, the base station sends a preset acquisition control instruction to the terminal in a downlink manner; after receiving the acquisition control instruction, the terminal acquires a sensing electric signal; the terminal encodes the sensing electric signal to obtain terminal encoding data; the terminal performs frequency and amplitude combined modulation on the terminal coded data to obtain modulation data; the terminal vibrates the optical fiber according to the modulation data in a terminal preset mode so as to transmit the modulation data to the base station based on the optical fiber; and after the base station acquires the modulation data, the base station performs frequency and amplitude combined demodulation on the modulation data to obtain demodulation data, and decodes the demodulation data to obtain a sensing electric signal containing external sensing information. According to the method, the communication efficiency in optical sensing communication can be improved, the communication distance can be prolonged, and a stable and reliable two-way communication mechanism between the terminal and the base station can be established.

The invention discloses a data acquisition interaction method of an electric energy meter data terminal. The data acquisition interaction method comprises the steps of instruction awakening and parameter initialization, dynamic sampling of environment perception, anomaly detection driven by spatial-temporal characteristics, multi-path quantum-classical hybrid encryption transmission and feedback retransmission and cache synchronization. According to the method, the sampling frequency is dynamically adjusted by fusing power load and environmental fluctuation data, a Mixer-Transform architecture is adopted to extract spatial-temporal characteristics, an abnormal threshold is updated in combination with EWMA, quantum or national secret encryption is selected according to a path quality score, fragmented parallel transmission is carried out, and hierarchical cache synchronization is carried out according to data timeliness. According to the method, the sudden change response speed is increased, the abnormal false alarm rate and the transmission packet loss rate are reduced, the data synchronization delay after network recovery is reduced, and the method is suitable for accurate acquisition and secure transmission of electric energy data in a complex environment.

The invention belongs to the technical field of power supply control, and particularly discloses a digital power supply graphical programming method based on flow driving, which comprises the following steps of: constructing a power supply control Flow component library which comprises a plurality of Flow nodes, and storing the nodes in a script file form, the script file comprises basic code snippets required by node function implementation and describes data terminals, logic terminals and node attribute parameters of input and output reserved by nodes; constructing a graphical programming module, and providing a graphical programming interface to receive a setting operation of a user so as to form a graphical program logic description file; generating a graphical program script file according to the description file and each Flow node script file; and generating a power supply control code based on the graphical program script file and the chip peripheral drive script file, and compiling and burning the power supply control code into an embedded controller of the digital power supply. According to the method, low-code / code-free development can be realized, and the development difficulty is effectively reduced.

An integrated circuit includes data terminals 0 to 11; an ECC encoder circuit configured to operate an H matrix on transmission data to be transmitted to the data terminals 0 to 11 to generate a transmission parity code, the transmission parity code corresponding to the transmission data; and an ECC decoder circuit configured to operate the H matrix on reception data and a reception parity code received through the data terminals 0 to 11 to detect and correct an error in the reception data. A data portion of the H matrix is divided into 24 groups, each of the 24 groups includes a group matrix portion and a non-group matrix portion, the group matrix portion is used by k group matrices that circulate in the 24 groups, and each time the k group matrices circulate one round, positions of the k group matrices inserted in groups is shifted.

The utility model discloses an online monitoring and positioning test device for gas pipeline leakage. The online monitoring and positioning test device comprises a test pipeline and a data terminal, the test pipeline comprises a supply section, a test section and a discharge section; the supply section comprises a gas source, a pressure regulating device, a first pressure transmitting device and a first flow transmitting device which are sequentially arranged on the test pipeline, and the test section comprises a monitoring device, an observation device and a leakage simulation device which are arranged on the test pipeline. And the discharge section comprises a second pressure transmitting device, a second flow transmitting device and a pressure relief device which are sequentially arranged on the test pipeline. According to the test device, accurate positioning of a simulation leakage device on longitudinal and cross sections of the pipeline can be realized, support is provided for practical application of a monitoring and positioning device for urban gas pipeline leakage, and the on-line monitoring and positioning level of pipeline leakage of fluid such as water, gas, heat, oil and the like can be effectively improved by popularization and application of the test device.

The invention belongs to the technical field of medical instruments, and particularly relates to a flexible scoliosis orthopedic and monitoring brace based on a sensor, comprising: a flexible fabric garment worn on a patient; the supporting units are detachably connected to the flexible fabric clothes, and the supporting units correspond to the lateral convex vertexes and the lateral convex vertexes opposite to the lateral convex vertexes of spine bending of the patient; the pressure detection mechanism is arranged on the supporting unit, and the pressure detection mechanism is used for detecting pressure data applied to the supporting unit by the side convex vertex and the side convex opposite side vertex of the spine of the patient; the collecting and processing mechanism is arranged on the flexible fabric clothes, and the collecting and processing mechanism is electrically connected with the pressure detection mechanism; and the data terminal is in communication connection with the acquisition processing mechanism and is used for outputting a processing result of the acquisition processing mechanism on the pressure data. According to the orthopedic brace, the orthopedic force and the posture of a patient can be detected in a non-invasive and non-radiation mode in real time, and the orthopedic brace has great significance in improving the scoliosis treatment effect and improving the patient experience.

The invention relates to the field of data security, in particular to a network security intelligent detection method based on big data, and the method comprises the steps: collecting network flow data, a terminal system call sequence and a user operation behavior log, and carrying out the data fusion processing to generate a unified behavior event flow; selecting a key behavior event based on an information entropy threshold value, performing time alignment through a dynamic time warping algorithm, and constructing a behavior gene map containing a communication association gene, an operation sequence gene and a behavior time sequence gene; a dynamic behavior baseline model is established by using unsupervised learning, and gene mutation detection and alarm are realized by calculating the deviation degree of each gene dimension; the detection performance is evaluated based on the false alarm rate, model parameters are optimized through a negative feedback mechanism, and acknowledged attack features are stored in a sharable threat gene feature library through a positive feedback mechanism. According to the method, the detection accuracy is continuously improved through a closed-loop learning mechanism, and a self-adaptive safety protection system with self-optimization capability is constructed.

The invention relates to the technical field of oil field oil production engineering, in particular to an underground data acquisition unit with flow, pressure and temperature monitoring functions and a method. The method is suitable for underground working condition monitoring of submersible motor type lifting equipment such as submersible screw pumps, submersible plunger pumps and submersible centrifugal pumps. The unit comprises a pressure-resistant shell, wherein a central pipe, an electromagnetic flowmeter, two pressure and temperature sensors and an underground parameter collector are integrated in the pressure-resistant shell; the two sensors are used for measuring the temperature and pressure of liquid flow of the central pipe and the temperature and pressure of an oil casing annulus respectively; the electromagnetic flowmeter measures the flow, and real-time temperature and pressure data are used for compensation to improve the precision. The unit is further provided with a collecting pipe, an upper end, a lower end, a connecting sliding ring, an annulus / oil pipe inner testing channel, a sealing rubber ring and the like. Through the integrated design, synchronous high-precision in-situ monitoring of underground key parameters is achieved, the problem that underground data of multiple instruments are not synchronous is solved, and a reliable data terminal is provided for an intelligent oil field.

The embodiment of the invention provides a dynamic spectrum allocation method and system, a storage medium, a device and a program product, and the method comprises the steps: obtaining original spectrum data and terminal demand data, and determining target spectrum data corresponding to the original spectrum data; processing the target spectrum data and the terminal demand data through a target reinforcement learning model to obtain a target spectrum allocation parameter corresponding to the target spectrum data; the target spectrum allocation parameters comprise a target spectrum allocation probability, a target power parameter and a target dynamic value coefficient; and determining a target spectrum allocation result through the target resource allocation model according to the target spectrum data, the terminal demand data and the target spectrum allocation parameters. Therefore, efficient allocation of the spectrum resources can be realized, the utilization rate of the spectrum resources is improved, waste of the spectrum resources is avoided, spectrum resource allocation can be realized based on spectrum data of an actual scene and terminal requirements, and the dynamic adaptability of spectrum resource allocation is improved.