419 results about "Computer based" patented technology

The package holder incorporates a front cover having several rungs assembled in a cascading, accordion style that when the front cover is in its expanded position to cover the interior cavity of the package holder, the several rungs are fully expanded and when the front cover is in its collapsed position, the several rungs fit together. The package holder includes a frame structure having one or more back surfaces and a bottom surface. The back surface is mountable using fasteners to a physical surface of a property. The package holder incorporates electronic and computer based locking mechanisms as well as non-electronic locking mechanisms. The package holder incorporates tracking sensing systems to track a package from a third-party delivery service that can automatically access the interior cavity of the package holder. A user can access the package from an interior of a property through an opening of the package holder.

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.

One embodiment of a method for animating characters includes receiving one or more goals specified in one or more modalities, generating, via a trained machine learning model and based on the one or more goals, a first action for a character to perform, where the trained machine learning model is trained to process inputs in multiple modalities, and causing the character to perform the first action within a computer-based or physical environment.

In one aspect, a coolant distribution unit (CDU) for cooling a process fluid of a technical loop including computers. The CDU includes a heat exchanger configured to transfer heat from the technical loop process fluid to a process fluid of a facility loop. The CDU includes a rapid response cooling apparatus operatively connected to the heat exchanger. The CDU includes a controller configured to determine a surge of a cooling load of the computers based at least in part upon data from a sensor of the technical loop. The controller is configured to cause the rapid response cooling apparatus to contribute to satisfying the cooling load of the computers based at least in part upon the surge of the cooling load of the computers.

The invention discloses a lightning stroke observation system and method based on a dynamic visual sensor, and the system comprises the dynamic visual sensor which continuously obtains a dynamic sensing image of an observation region; the CMOS image sensor is used for continuously acquiring observation images of the observation area; the computer is used for continuously measuring and calculating the average brightness of the observation images of the two adjacent frames to obtain the change amplitude of the average brightness; when it is judged that the average brightness change amplitude exceeds a set threshold value, trigger signals are sent to the dynamic vision sensor and the CMOS image sensor; the dynamic vision sensor and the CMOS image sensor store a dynamic sensing image and an observation image through a computer based on a trigger signal; a lightning stroke observation message is generated based on the dynamic sensing image, the observation image, the triggering time and the like; the GPS antenna is used for recording the triggering time when the triggering signal is sent out; and the collector is used for collecting the electric field signal of the plate capacitor antenna, storing the electric field signal through the computer, and judging the polarity of the electric field signal.

A method includes scanning a network having a first and second host, obtaining, via the scanning, a first and second type information of the first and second host, respectively, the first or second type information including a device category, obtaining, via the scanning, a first and second scaling factor of the first and second host, respectively, calculating, a first criticality score of the first host based on the first type information and the first scaling factor, calculating a second criticality score of the second host based on the second type information and the second scaling factor, calculating a first host risk score (HRS) for the first host based on the first criticality score, calculating a second HRS for the second host based on the second criticality score, and applying a security patch on the first host prior to the second host first HRS is higher than the second HRS.

The invention relates to the technical field of industrial personal computers, and discloses a distributed industrial personal computer based on an OpenHarmony system and a data collaboration method thereof. The method comprises the following steps: registering an industrial runtime service instance, receiving a shared memory access request of an application process, and transmitting a server file descriptor copy to the application process to obtain a client file descriptor; the application process executes mmap mapping on a client file descriptor to obtain a client mapping address, and initializes a global write position counter and a read position counter array; the service process updates a global write position counter and writes industrial data, the application process updates a self read position counter value in a read position counter array, and data verification is sent through a distributed soft bus or complete data is broadcasted to a remote industrial personal computer node through a distributed data management framework. According to the invention, unified and efficient response of the OpenHarmony industrial control system to local real-time data transmission and distributed collaborative operation is realized.

A computer-based method for non-destructive z-profiling of samples. The method includes: a measurement operation and a data analysis operation. The measurement operation includes, for each of a plurality of landing energies: (i) projecting an electron beam on a sample at a respective landing energy, such that light-emitting interactions between electrons from the electron beam and the sample occur within a respective probed region of the sample, which is centered about a respective depth; and (ii) measuring the emitted light to obtain an optical emission data set of the sample. The data analysis operation includes obtaining from the measured optical emission data sets a concentration map quantifying a dependence of a concentration of a material, which the sample comprises, on at least the depth.

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.

The invention discloses a refrigeration equipment energy-saving control method and system based on a computer, and relates to the technical field of refrigeration control, and the method comprises the steps: firstly, carrying out the precise evaluation of the current operation state of a refrigeration system through the real-time fusion of multi-source sensor information and external event information; based on this, a mechanism for prospective modeling and quantification of immediately occurring and future predictable disturbance events is introduced, and the discrete and pulsed disturbances are converted into continuous and accurate prediction of future thermal loads. And then, jointly inputting the evaluation result of the current state of the system and the prediction result of the future disturbance influence into a dynamic system thermodynamic model for deduction. And finally, based on the structured optimization framework, comprehensively weighing the energy consumption cost, the temperature control precision and the equipment operation constraint, and carrying out global optimization solution so as to generate and execute an optimal control instruction. In this way, strict temperature control requirements can be met, and meanwhile system energy consumption and equipment loss can be reduced to the maximum extent.

Computer based techniques for clustering social media data based on the semantic content can include: obtaining social media data representing a plurality of social media posts from a plurality of social media platforms; processing each particular social media post of the plurality of social media posts utilizing a machine learning model to generate a vector, representative of the content, corresponding to an embedding of the particular social media post in an embedding space; generating, based on the embedding space, a plurality of clusters utilizing a clustering algorithm, each cluster including social media posts that have related content; generating, for at least one cluster of the plurality of clusters, a visualization representative of the related content of the social media posts in the at least one cluster; and outputting the visualization to a user computing device.

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 some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a permission from a user of a plurality of users to utilize a particular service associated with a device; identifying a predetermined plurality of authentication rules associated with a profile of the primary user; determining a plurality of parameters associated with the device at a particular time period; comparing a set of controls associated with a current utilization of the service of the device to the plurality of parameters associated with the device; generating an API call based on a comparison of the set of controls to the plurality of parameters; generating a plurality of unique schema-specific identifiers based on a generated API call associated with the set of controls established by the primary user; and generating a provision utilizing the unique schema-specific identifier to perform a particular action associated with the device.

A method includes scanning a network having a first and second host, obtaining, via the scanning, a first and second type information of the first and second host, respectively, the first or second type information including a device category the first or second host belongs to, obtaining, via the scanning, a first and second scaling factor of the first and second host, respectively, calculating, a first criticality score of the first host based on the first type information and the first scaling factor, calculating a second criticality score of the second host based on the second type information and the second scaling factor, and facilitating to apply a security patch on the first host prior to the second host when the first criticality score is higher than the second criticality score.

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.

Examples are disclosed that relate to computer-based tracking of a process performed by a user. In one example, multi-modal sensor information is received via a plurality of sensors. A world state of a real-world physical environment and a user state in the real-world physical environment are tracked based on the multi-modal sensor information. A process being performed by the user within a working domain is recognized based on the world state and the user state. A current step in the process is detected based on the world state and the user state. Domain-specific instructions directing the user how to perform an expected action are presented via a user interface device. A user action is detected based on the world state and the user state. Based on the user action differing from the expected action, domain-specific guidance to perform the expected action is presented via the user interface device.

A method includes scanning a plurality of hosts in a computer network to obtain, during a predetermined time period, risk information of each instance of vulnerability associated with at least one host of the plurality of hosts, wherein the risk information comprises a common vulnerability scoring system (CVSS) score, an exploitability measurement and a measurement parameter of identified link to one or more bad actors associated with the at least one host, calculating, for the at least one host, a vulnerability risk score (VRS) for each instance of the vulnerability of the at least one host based on the associated risk information, obtaining a representative VRS based at least in part on the VRS for each instance of vulnerability of the at least one host, and facilitating at least one security action based on the representative VRS.

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.

In general, one aspect disclosed features a media asset capture and processing method, implemented via a computer-based state machine executing on a computer processor, the method comprising: implementing a first phase including media asset capture and frame processing limited to Rich Execution Environment (REE) read-only (RO) frame access; implementing a second phase including processing with REE read-write (RW) frame access; and implementing a third phase including processing with REE read-only (RO) frame access.

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 application discloses an optoelectronic computer based on time domain all-optical signal serial-parallel hybrid computing, which is composed of an electrical transceiving module, a light source module, a linear matrix vector computing module, a summation separation module and a nonlinear activation module.The application adopts time sequence encoding serial input, and multiple input signals are simultaneously and parallelly calculated, so that all computing steps of a full connection neural network, i.e., linear calculation, summation operation and nonlinear activation, can be completed in the optical domain, and the host end only needs to send input data and receive the final computing result.The application has the following advantages compared with other comparative applications: multiple matrix-vector multiplication operation can be completed in parallel; only one optical element is used to complete summation and nonlinear activation operation on multiple multiplication vectors, thereby reducing the hardware deployment pressure; and the bandwidth loss of a pure serial time domain computing method is relieved through serial-parallel hybrid encoding in the time domain, and the computer computing speed is improved.

Embodiments described herein are generally related to computer data analytics, and computer-based methods of providing business intelligence data, and are particularly related to systems and methods for use with enterprise data for profile matching and generating gap scores and upskilling recommendations. In accordance with an embodiment, the system can operate to match a set of position requirements with candidate attributes or skillsets, ranking them on the basis of match scores. The system can be used, for example, to determine a skill gap between the position requirements and candidate attributes, and recommend which skills might be augmented to better address the position requirements.

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.