247 results about "Computer based" patented technology

The invention discloses a big data and artificial intelligence teaching practical training platform based on a computer, and relates to the field of practical training teaching, and the platform comprises a teaching unit which is used for teaching students; a teaching interaction unit which is connected with the teaching unit, can provide an experiment scene for students through the teaching interaction unit, and is used for consolidating the learning content of the teaching unit; the data processing unit is connected with the teaching interaction unit and is used for recording the practical training data of the students and analyzing the recorded data; according to the big data and artificial intelligence teaching training platform based on the computer, learning tasks completed by students can be evaluated, the knowledge mastering and applying degree of the students can be known, and meanwhile, according to the performance, including the cooperation ability, the contribution degree, the communication skill and the like, of the students in group cooperation, the knowledge mastering and applying degree of the students can be known. And evaluation and subsequent learning progress are given.

The present disclosure describes a server computing device configured for receiving from a remote computing device via an application, in response to a low-risk access request to a data resource, a programming call with a URL comprising an second identification data item encrypted from a first identification data item acquired by the remote computing device, obtaining a first context information item associated with the programming call, inputting the first context information item into a machine learning model to generate a second context information item, extracting the second identification data item from the URL, generating a third identification data item by decrypting the second identification data item, retrieving a prestored property data item associated with the third identification data item, and transmitting requested data to the remote computing device if comparing the second context information with the prestored property data item produces a match.

A method includes instructing a computing device of a user to determine when a webpage is loaded via a web browser; where the web browser includes at least one of: a plug-in or an extension associated with the provider server associated with a first entity; where the plug-in or the extension is configured to request and receive a unique schema-specific identifier from the provider server; instructing the computing device to determine that the webpage is a particular webpage based on a determination that the webpage includes at least one field to be populated with user information; determining that the particular webpage is associated with a look-alike domain name based on: comparing a domain name of the particular webpage with at least one domain name of at least one second entity associated with at least one previously used unique schema-specific identifier associated with the user or at least one other user.

Various embodiments of the present disclosure provide machine learning architectures and data processing techniques for improving computer-based text comprehension. The techniques include generating, using a trained classifier model, target classification probabilities for labelled text-based objects from a testing portion of a labelled training dataset and identifying predictive text-based objects from the labelled text-based objects based on the target classification probabilities. The techniques include applying a staged prompting mechanism with a generative extraction model to identify a target set of explanatory text segments from the predictive text-based objects that may be clustered into semantic segment clusters. The techniques include generating explanatory summary segments respectively corresponding to the semantic segment clusters and generating a target classification signature based on a plurality of terms from the one or more explanatory summary segments.

In an approach to improve computer-based virtual world collaboration environments, embodiments of the present invention embodiments identify a context associated with a current state of a virtual environment and determines a physical object that is being rendered as a virtual display in the virtual environment based on the context. Further, embodiments render a virtual object representing the physical object according to the context using a generative model in a such a manner that the virtual object is rendered visually distinct from the physical object being represented.

Embodiments provide for data input methods and systems for computer record storage and retrieval. In embodiments, an artificial intelligence system or a computer-based nodal analysis system allows for scanning or document acceptance, sorting, deletion of duplicate materials, storage and retrieval of data for use by individuals, such as health care professionals. Access to the methods and systems may be monitored or allowed according to different criteria such as the satisfaction of a payment criteria.

The invention relates to the technical field of resource scheduling, and provides an instance scheduling method and device, equipment and a storage medium. The method comprises the steps of selecting at least two candidate host machines from a plurality of host machines based on a static resource demand of a to-be-deployed instance; obtaining respective residual network resource quantities and load state indexes of the at least two candidate host machines; each residual network resource quantity and each load state index are obtained based on the network resource use state newly reported by the corresponding candidate host machine; and based on each residual network resource quantity and each load state index, determining a target host machine in the at least two candidate host machines, and deploying the to-be-deployed instance into the target host machine. According to the method, the problems of production cost increase and resource waste caused by dealing with sudden network resource requirements of instances in the related technology can be solved.

In an approach to improve adaptive content and responsive web content, embodiments of create a profile associated with a user based on monitoring online activity of the user and analyze and classify content displayed to the user based on collected data associated with a reaction from the user. Further, embodiments derive a preliminary set of topics of interests based on the reaction of the user and the analyzed and classified content and associate the preliminary set of topics of interest with the reaction of the user and the analyzed and classified content. Additionally, embodiments, analyze a location of interest to the user on associated with the content based on the preliminary set of topics of interests to personalize a display of the location for interaction by the user, and present, by a user interface, a personalized display of the location to the user.

Computer-based systems are disclosed that provide technological advances in electronic setpoint management and infrastructure. Present principles may be applied to streetlight configuration and management as well as to other applied technologies. Thus, in one aspect an apparatus includes a processor and storage with instructions. The instructions are executable to identify substantive performance data for a device, access setpoint data associated the device, and compare the substantive performance data to the setpoint data to determine a difference between the substantive setpoint data and the setpoint data. The instructions are also executable to correlate the difference to a particular configuration for the device. The instructions are then executable to store the substantive performance data, setpoint data, and the particular configuration for the device. The stored data is then used for training a machine learning model, which is then deployed to infer additional configurations for smart streetlights and other smart devices.

The present invention relates generally to a method and corresponding computer-based devices for securing the integrity of the data for operating a service (8). In particular, the invention relates to a method for generating an intended state (3) of data that can be stored or secured in a medium or system (1), for transferring the intended state of the data to a further system (7), for securing the integrity of the data on the further system and for enabling subsequent analysis after undesired tampering with the data. The invention also relates to computer-based devices, a computer system and a computer network which execute or enable the execution of this method or the individual steps therein, as well as a computer-readable medium with computer-executable instructions.

In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a permission from at least one user of a plurality of users to monitor at least one location associated with a device, utilizing a machine learning algorithm to automatically authenticate at least one action associated with the device based on at least one data beacon generating a primed signal; transmitting a plurality of data from the device to an external data source associated with the at least one action within a predetermined period of time based on the location of the device and the primed signal; and dynamically updating a storage module associated with the device with metadata based on a transmission of the plurality of data associated with the at least one action.

The computer-based methods and systems presented in this disclosure provide prediction occurrence of an event for an individual on a user device of the individual. The system receives, from a plurality of remote devices, pieces of input data about the individual. The system pre-processes the pieces of input data to make them ready to be processed by respective input modules of a machine learning model running on the system. Each input module is associated with a respective marker and processes the pre-processed data for that marker. Outputs of the input modules are further processed by the model. The model provides an output indicating respective probabilities that particular events happen. The system can generate one or more alerts based on the output of the model, and can send the alerts to contacts of the individual.

The invention provides a wafer pick-and-place scheduling logic animation optimization method, which comprises the steps of simulating pick-and-place operations of different mechanical arms, obtaining simulation results, namely rotation angles of the mechanical arms rotating to different cavities, and constructing a mechanical arm rotation angle comparison table in an upper computer based on the simulation results; a canvas used for simulating a chip semiconductor machine table is created in the upper computer, and a simulation diagram of the mechanical arm and the cavity is constructed in the canvas according to the structure of the machine table; the upper computer is used for establishing signal connection with the mechanical arm, the currently executed mechanical arm fed back by the mechanical arm and a target cavity needing to be reached are obtained, and the rotation angle corresponding to the target cavity is found in the rotation angle comparison table; executing the rotation operation of the mechanical arm in the canvas according to the rotation angle corresponding to the cavity in the upper computer to form a rotation animation; according to the method, the rotation animation of the upper computer is made without using the rotation information of the mechanical arm, a large amount of calculation during rotation calculation of the mechanical arm is reduced, and more calculation is applied to the conveying process.

The application relates to a communication processing method and device based on a one-wire interface, computer equipment, a storage medium and a computer program product. The method comprises the following steps: after the battery is powered on, the one-wire interface is configured as a bidirectional communication interface; if a first message sent by an upper computer based on a first communication protocol is received through the one-wire interface within a first preset time, the first message is checked; the checked first message is analyzed to determine target battery parameters requested by the upper computer; the target battery parameters are processed based on the first communication protocol to obtain a second message; and the second message is sent to the upper computer through the one-wire interface, and the target battery parameters are obtained by the upper computer by analyzing the second message. The data transmission and reception are completed through the one-wire interface, the material cost of the monitoring circuit is saved, and the line maintenance cost is reduced.

In an approach to improve enhancing the provisioning cloud resources, embodiments receive a set of potential cloud resource providers and predict a performance for a distributed workload on each potential provider of the set according to a machine learning model. Additionally, embodiments inject fault into the set of potential cloud resource providers and measure an impact of the injected fault upon system performance. Embodiments utilize the injected fault to create a system intervention to ensure that the system intervention is carried out on a network in predetermined system. Further, embodiments provision the distributed workload among the potential cloud resource providers according to dynamic conditions output by the set of potential cloud resources based on the measured impact of the injected fault.

Disclosed are embodiments of a power and energy reservation system (PERS) enabling a user to reserve energy or minimum peak power at electric vehicle supply equipment (EVSE) having electric vehicle (EV) charging couplers to enable charging of an EV. One embodiment, among others, is a method that can be broadly summarized by the following steps: enabling the user to reserve (a) a charging event at a specific site having a plurality of EVSEs during a specified time window and (b) a charging process that exceeds a predetermined minimum threshold; determining availability of site couplers at the site based upon the predetermined minimum threshold; and communicating a reserved site coupler identification to the user based upon the availability. Another embodiment, among others, is a reservation system that has a computer-based architecture and that is programmed to perform the aforementioned steps and communicate with computer-based client devices.

Disclosed is a method for providing control data for manufacturing a three-dimensional object including accessing computer-based model data of at least one portion of the object, at least one data model specifying the scanning of locations of the region to be selectively solidified, using at least one beam along a first trajectory and a second trajectory substantially parallel thereto, the motion vectors of the beams in the construction plane having mutually opposite directional components during the scan along the two trajectories, and the distance between a starting point of the second trajectory and an end point of the previously scanned first trajectory is less than half a beam width of the beam at the end point of the first trajectory; and providing control data of the at least one data model for the generation of a control data set.

The utility model relates to computer base technical field, concretely for a kind of stop structure of lifting type computer base, the stop structure includes: limiting component, it is mainly used for computer support lifting limit, the limiting component includes limiting frame, the limiting frame one end is provided with top cover, and the other end side surface symmetry is provided with two clamping blocks;Positioning component one, it is mainly used for computer support installation limit, the positioning component one is provided with two, and symmetrically arranged in the two sides of limiting component, and each positioning component one includes locating post, the locating post middle part is provided with gyro wheel one;Positioning component two, it is mainly used for computer support installation limit, the positioning component two is placed in the side of limiting component and is provided with clamping block, and positioning component two includes two limiting blocks.The utility model has the advantages of simple structure, reasonable design, and small friction, long service life, and it is easy to maintain in later period, it is worth promoting and using.

The application relates to the technical field of feed formula data optimization, in particular to a pig feed formula data optimization processing method and system based on a computer, which comprises the following steps: acquiring parameters corresponding to a target breeding scene and inputting the parameters into a preset collaborative optimization model; wherein the collaborative optimization model is configured to: determine a reference threshold of digestible protein; dynamically compensate the reference threshold to generate an upper limit of dynamic demand of the digestible protein; determine a soluble fiber proportion target coordinated with the upper limit of dynamic demand; take the received upper limit of dynamic demand of the digestible protein and the soluble fiber proportion target as a collaborative optimization target, perform proportioning calculation on raw material available nutrient component parameters, and generate a final feed formula meeting the collaborative optimization target. The application can construct a collaborative optimization model of pig breed genetic characteristics, environmental temperature and raw material available nutrients, and realize dynamic and accurate adaptation of a feed formula.

A computer-based system and corresponding method perform feature-based machine learning (ML) model prediction. The system uses an imputation method to produce posterior distributions of unprovided features of a set of retrospective features. The posterior distributions are produced based on the set of retrospective features and provided features of the set of retrospective features. The system employs an ML model to produce a threshold and a risk score distribution of a prediction of an event and selects at least one unprovided feature from a partial set of the unprovided features to improve predictive accuracy of the ML model iteratively. The system outputs a representation of the at least one unprovided feature selected toward approximating a full-feature-capacity (FFC) prediction with a partial set of the retrospective features. The system enables efficient feature acquisition for accurate ML model prediction.

This invention relates to the field of computer integrated control technology, specifically an integrated triggering method and system for one-key recovery of a computer in a power-off state. The method involves monitoring user operations under power-off conditions via hardware circuitry. Under the constraint of the Recovery module's anti-accidental touch measures, the method arbitrates and determines user-triggered actions, generating a valid trigger signal and writing it to the wake-up register. Combining an RC delay circuit and trigger sampling analysis of power-on voltage changes, the system automatically enters Recovery mode upon the next power-on without needing to access the operating system or BIOS. After the device is powered off, power data in the power domain is read from the coin cell battery, and the PG distortion signal is reconstructed in the frequency domain. Based on this signal, stable power-on screening and CLRTC physical trigger detection are performed, automatically clearing the real-time clock data when conditions are met. The System Reset module identifies the actual system crash state by constructing a power-on anomaly variable domain and automatically triggers a system restart upon detecting a Reset signal, thus achieving one-key maintenance and recovery of the computer in a crash state.

A method for training a computer-based machine learning model to assess a characteristics-of-interest in embryos such as viability, sex or genetic superiority / inferiority by processing video of each of a plurality of embryos and wherein a subset of the embryos each embodies the characteristic-of-interest. The method includes obtaining (taking or otherwise procuring) a plurality of training videos, each video being of a target embryo and each video having a real-time frame speed (specifically not time-lapse frame speed) over a continuous recording duration of ten minutes or less. Each video includes image data representing micro-movement of the target embryo. The image data is processed thereby generating a computer-based machine learning model for assessing the characteristic-of-interest in future embryos from image data of those embryos.

The disclosure relates to methods for determining an endometrial status using a sample, for example, a blood plasma sample, from a subject, comprising: (a) performing an assay on the blood sample from the subject to determine a miRNA expression profile, wherein the miRNA expression profile comprises expression levels of a plurality of miRNA and (b) analyzing the miRNA expression profile to obtain a predictive score using a computer-based machine-learning model.

Various embodiments relate generally to data science and data analysis, and computer software and systems to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby data ingestion is performed to form data representing layered data files and data arrangements to facilitate, for example, interrelations among a system of networked collaborative datasets. In some examples, a method may include forming a first layer data file and a second layer data file, assigning addressable identifiers to uniquely identify units of data and data units to facilitate the linking of data, and implementing selectively one or more of a unit of data and a data unit as a function of a context of a data access request for a collaborative dataset.

The invention discloses an industrial control front-end and back-end cross-language platform encryption communication method and system based on national secret, and belongs to the technical field of energy equipment industrial control network security, and the method comprises the steps: a server generates a self-defined combination containing a factory equipment type, a timestamp and an equipment serial number identifier; sending the user-defined combination to a trusted execution environment (TEE) through a TCP / IP (Transmission Control Protocol / Internet Protocol); the TEE verifies the legality of the combination, if the verification is passed, a pair of SM2 private key and public key is generated, and the SM2 public key is returned to the server; the server negotiates an SM4 key with the client through a cross-language key interoperation mechanism based on the SM2 public key; and the two parties use the SM4 key to carry out encryption communication on the industrial control instruction and data. Secure communication of a cross-language platform in a domestic industrial control system can be realized, eavesdropping and tampering are prevented, and intrinsic safety of energy equipment is realized.

The invention discloses a high-precision wind tunnel nozzle profile design method, and belongs to the technical field of wind tunnel nozzle profile design based on a computer. The problems that in the prior art, a traditional wind tunnel nozzle molded surface design method is poor in process feasibility, and the number of molded surface correction iterations is large are solved. According to the method, modeling software is adopted to construct an initial profile mathematical model, geometric constraints are integrated, a wall thickness initial distribution model is established, and wall thickness distribution is optimized; s2, quantizing an objective function according to the constraint and the model parameters in the step S1, optimizing the objective function, and refining the constraint to obtain refined constraint conditions; and according to the wall thickness initial distribution model and the wall thickness parameters, design software is combined with the refined constraint conditions to carry out parametric modeling, a process feedback mechanism is constructed to carry out correction compensation on initial molded surface modeling, and high-precision wind tunnel nozzle molded surface design is completed. The pneumatic performance and the material utilization rate are effectively improved, and the method can be applied to high-precision pneumatic verification tests.

A system for generating a unit test based on source code is disclosed having a computer, a source code file, an abstract syntax tree, and at least one unit test. The source code file contains a source code having a plurality of constructs each belonging to a type including functions, return statements, attribute assignments, function calls, and branches. An abstract syntax tree is generated by a computer based on a source code and a plurality of constructions, the abstract syntax tree having a plurality of nodes, where each of the plurality of constructions in the source code has a corresponding node. At least one unit test is generated by a computer based on nodes of the abstract syntax tree and predefined rules, the unit test comprising at least one packet function corresponding to a function configuration or a branch configuration, and the unit test comprising at least one trial function corresponding to a return statement configuration, an attribute assignment configuration, or a function call configuration.

The invention relates to the technical field of computers, in particular to a D2000 and FPGA-based triple-redundancy satellite service computer, which comprises a case, a plurality of memory banks I are inserted into the case, a protective cover is fixedly arranged on the inner wall of one side, facing the memory banks I, of the case, a rotating seat is rotatably connected into the protective cover, and the rotating seat is fixedly connected with the case. The rotating seat is rotationally connected with two pulling and inserting mechanisms in a symmetrical structure, the two ends of each pulling and inserting mechanism are fixedly connected with limiting releasing mechanisms, the fixing frame is provided with a memory bank maintaining mechanism in a sliding fit mode, and a second memory bank is clamped on one pulling and inserting mechanism. When the first memory bank in the case breaks down, the first memory bank can be automatically disassembled and maintained, and when the first memory bank cannot be continuously used, the standby second memory bank and the first memory bank which breaks down can be replaced, so that the on-orbit maintainability of the satellite service computer is remarkably improved, the satellite service computer can stably run for a long time, and the service life of a task is prolonged.