733 results about "Computer based" patented technology

Systems, devices, and methods are provided for determining contextually relevant user-based product recommendations based on scene information. In at least one embodiment, techniques described herein may be used to determine, using a first machine-learning model, first information associated with a first object within a first image of digital content, determine, using a second machine-learning model, similarity scores between the first object and a first plurality of products of an online purchasing system, detect, in association with the first image of the digital content, performance of a first computer-based action by a user, determine, using a third machine-learning model and based on contextual data of the user, one or more affinity scores for the user, select a first product based on the one or more affinity scores, and present a recommendation to the user to perform a second computer-based action in association with the first product.

Techniques are described for validating build integrity of software products, such as applications or containers. More specifically, this disclosure describes a build integrity validation system that analyzes build artifacts resulting from a software build process to create source code assertions, and compares the assertions against the source code from which the build artifacts were produced. The build integrity validation system validates that a particular build artifact is producible by the source code to ensure that no additional code was introduced during the build process. The build integrity validation system may also reverse the analysis to validate that the source code is able to produce the build artifacts to ensure that no code was removed or modified during the build process. The build integrity validation system identifies and reports identified discrepancies between the source code and the build artifacts resulting from the software build process of the source code.

A computer-based system and corresponding computer-implemented method process input data queries in a manner enabling advanced functionality for data analytics. The method transforms a query plan tree into a query strategy tree. The query plan tree is constructed from an input data query associated with a computation workload. The method compiles the query strategy tree into dataflow graph(s) (DFG(s)). The method transmits the DFG(s) for execution via a virtual platform. The method monitors execution of the DFG(s). The method outputs, based on a result of the execution monitored, a response to the input data query. The result is received from the virtual platform and represents at least one computational result of processing the computation workload by the virtual platform. The system and method enable rapid and efficient retrieval and analysis of data stored in data lakes and other data storage systems, in response to user queries.

Computer-based techniques for performing systematic literature reviews are provided. Some embodiments include an SLR system including various components that interoperate to generate regulation-compliant SLR reports regarding an issue based on user-defined parameters. In several embodiments, the SLR system may integrate various artificial intelligence techniques to facilitate generation of SLR reports. For example, various SLR systems disclosed hereby may utilize generative pre-trained transformers to assist in aspects of systematic literature reviews, such as literature database queries, literature screening, data question generation, level of evidence classification, qualitative assessments, data extraction, and report generation.

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.

A computer based system and method for providing decentralized training of a machine learning model, including: obtaining a mini-task of training the machine learning model wherein the mini-task comprises at least one mini-batch size; obtaining an estimation of at least one performance indicator in each trainer of a plurality of trainers that have available computing power, wherein each trainer comprises one or more processors; calculating a maximal micro-batch size for each processor of the plurality of trainers based on the at least one performance indicator of the respective trainer, and parameters of the mini-task; and assigning the mini-task to at least one designated trainer of the plurality of trainers based on the maximal micro-batch sizes of the one or more processors of the at least one designated trainer and the at least one mini-batch size.

The invention discloses a notebook computer waste heat recycling system and method based on a thermoelectric conversion effect, and relates to the technical field of thermoelectric materials and devices, and the system comprises a distributed thermoelectric array module which is composed of a plurality of miniature TEG units, is distributed in a high heating area of a notebook computer, and directly generates power through temperature difference; the self-adaptive heat management module comprises a heat-conducting silica gel layer and micro heat dissipation fins and is used for optimizing the temperature difference between the hot end and the cold end; the multi-stage electric energy management module comprises a rectifying circuit, a DC-DC boosting chip and a recycling energy storage battery device, converts the unstable low-voltage direct current output by the TEG into stable electric energy, stores the stable electric energy and supplies the stable electric energy to target equipment; and the intelligent control module dynamically adjusts the working area of the micro thermoelectric power generation unit according to the data of the temperature sensor, preferentially selects the position with the maximum temperature difference to generate power, and matches the power supply demand through a PMIC chip. Efficient conversion and utilization of waste heat are realized through innovative design, the problem of low thermoelectric conversion efficiency in miniaturized equipment is solved, and energy conservation and environmental protection are realized.

The invention discloses a test method and system for starting and stopping trusted proxy services of DCS (Distributed Control System) upper computers in batches, belonging to the technical field of industrial control, comprising the following steps: running a pre-configured executable program by using a multi-thread mechanism, reading a protocol file in the pre-configured executable program, and remotely connecting to each DCS upper computer in batches based on the protocol file; printing a process of connecting to each DCS upper computer and executing a command at a terminal in real time, and if a failure occurs, immediately returning failure reasons such as connection timeout and incorrect reply of a connected target host; after the operation of the pre-configured executable program is finished, returning the number of threads and a prompt that the operation of the threads is finished; and based on the real-time printing result and the returned prompt, checking the online state of each DCS upper computer, and verifying whether the batch online and offline functions take effect or not. According to the method, the trusted proxy service of the DCS upper computer is started and stopped in batches by one key, so that a large batch of equipment can be online and offline at the same time at one time.

The invention discloses a multi-unmanned aerial vehicle cooperative lifting method, device, platform and system. The method comprises the steps that a flight control computer obtains platform state information of a whole subsystem at the current moment and unmanned aerial vehicle state information of all unmanned aerial vehicles at the current moment; the flight control computer calculates the total control input of the overall subsystem at the current moment; the flight control computer calculates the total control input based on a set multi-unmanned aerial vehicle cooperative dynamics model and the state information of the unmanned aerial vehicle at the current moment to obtain sub-control input corresponding to each unmanned aerial vehicle at the current moment; and the flight control computer generates a control instruction based on the sub-control input and sends the control instruction to each unmanned aerial vehicle, so that the unmanned aerial vehicle responds to the control instruction and executes flight operation according to the sub-control input. According to the multi-unmanned-aerial-vehicle cooperative hoisting system, efficient coordination of the multi-unmanned-aerial-vehicle cooperative hoisting system on operation tasks of the multiple unmanned aerial vehicles is achieved, the limitation that the carrying capacity of a single unmanned aerial vehicle is insufficient is overcome, and the carrying capacity requirement of large-mass transportation is met.

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining, a permission from each user to monitor a plurality of activities; continually receiving monitoring data of the plurality of activities; identifying a plurality of related incoming interaction sessions within the predetermined period of time; automatically verifying at least one common session parameter; utilizing a machine learning algorithm to determine at least one transaction; determining a plurality of fraudulent transactional rules; automatically adjusting the plurality of fraudulent transactional rules; utilizing a natural language processing algorithm to automatically generate at least one interaction notification; receiving a response to the interactive notification; and automatically updating the database of known session interaction parameters based on the response to the interactive notification.

A computer-implemented policy application device for a cloud-based security system that manages packet routing through cloud-based unified components of a cloud access security broker (CASB) component, a secure web gateway (SWG) component and firewall components, according to a unified security policy. The CASB processes packets exchanged between users and cloud-based resources. The SWG handles access to web accessible destinations. The firewall components provide traffic inspection and access control. The device includes a router component configured for routing each packet of streams of received packets to the components and configured for selectively forwarding the received packets to the CASB and SWG dependent on a type of stream to which the received packets belong, a restrictive state analyzer configured to be in communication with each of the components and configured for determining if and what action should be performed with respect to the each packet in compliance with the unified security policy.

The invention discloses a blasting vibration monitoring method and system based on vision and vibration sensors, and relates to the technical field of blasting vibration monitoring. An aerial vision monitoring device is arranged at a set height right above a blasting point, and a vibration sensor array is radially arranged around the blasting point; and the visual monitoring device and the vibration sensor array are in wireless communication connection with the blasting vibration analysis module based on the computer. Omnibearing monitoring of the blasting process is achieved by combining the aerial vision monitoring device and the ground vibration sensor array, ground vibration data can be captured, and the scattering condition of fragments generated by explosion can be observed. An image feature recognition algorithm is used for analyzing an image captured by a high-speed camera, and visual evidence is provided for understanding the explosion effect. Complex vibration data and visual feature changes can be converted into charts and schematic diagrams which are easy to understand through image processing software and a data visualization tool, and non-professionals can conveniently and rapidly grasp key information.

The invention relates to the field of intelligent management of plastic-steel doors and windows, and particularly discloses a plastic-steel door and window production management system and method based on a computer, which uses an artificial intelligence technology based on the deep learning field to carry out feature extraction and coding on an image of a section of a profile so as to obtain a classification result about whether the cutting effect of the profile is qualified or not. Thus, by intelligently judging the profile cutting effect, the profile cutting detection fineness is improved, meanwhile, the labor cost is reduced, careless omission of the detection result is avoided, and the profile cutting quality is guaranteed.

In some embodiments, the present disclosure provides an exemplary technically improved computer-based method utilizing an element level mapping module that determines a correlative relationships of interconnected nodes and edges in relation to an output data element and an input data element, and determines an appropriate graph of the relationships.

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 invention belongs to the technical field of computer control, and discloses a notebook computer intelligent heat dissipation control system based on a multi-modal sensor, which comprises the following steps: acquiring multi-modal heat sensing data of a notebook computer; identifying the type of the current operation scene based on the multi-modal thermal sensing data and obtaining the heat dissipation preference of a user; calculating a thermal trend index of each hardware component of the notebook computer according to the historical multi-mode thermal sensing data and the current operation scene type; based on the thermal trend index, the current operation scene type and the user heat dissipation preference, generating a heat dissipation regulation and control scheme with scene adaptability; according to the heat dissipation regulation and control scheme, intelligent heat dissipation control of the notebook computer is achieved in a progressive regulation mode; the performance stability of the notebook computer is greatly improved; and the service life of hardware is prolonged.

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.

The present disclosure provides, inter alia, methods for treating hemophilia A as well as computer-based-systems, including software-based pharmacokinetic model systems, and their use to determine dosing information for subjects who have hemophilia A.

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 provides an artificial intelligence-based industrial computer predictive maintenance method, which comprises the following steps of: acquiring real-time monitoring values of clock signal jitter, signal integrity parameters and electromagnetic compatibility characteristics from mainboard circuit operation data to form multi-dimensional time sequence data, and performing feature extraction to obtain initial distribution of abnormal signals related to aging; carrying out primary distribution clustering analysis on the abnormal signals to obtain signal abnormal groups in an aging mode, and carrying out weighted analysis on interaction influence of clock signal jitter and microcrack propagation in the groups by adopting a preset convolution kernel to obtain abnormal signal group features; and identifying interference factors influencing system stability evaluation from the electromagnetic compatibility characteristic variation coupling characteristic data, and classifying the interference factors in combination with the priority initial sequence.

The invention belongs to the technical field of data communication, and provides a communication protocol system of an electric energy meter and an upper computer, which comprises the upper computer and the electric energy meter, the upper computer is used for acquiring transmission state data of a plurality of historical messages, determining a current baud rate according to the transmission state data, constructing a request frame, and sending the request frame to the electric energy meter according to the current baud rate; the electric energy meter is used for performing correctness verification on first key information in the request frame, if the verification is passed, sending a response frame to the upper computer, analyzing key identification information in the request frame, querying target data according to an analysis result, and constructing and sending a data frame to the upper computer according to the queried target data; and the upper computer is also used for analyzing the data frame to obtain the target data if the data frame is subsequently received and the second key information in the data frame passes the correctness verification after the response frame is received within the set duration. According to the scheme, the stability and convenience of a communication link between the electric energy meter and the upper computer can be improved.

Embodiment of systems and methods for the sending, delivery or receiving of faxes are disclosed herein. In particular, certain embodiments include a fax connector that may be deployed at users' sites, and a fax registration system that may be deployed remotely from these users' sites. The fax connector can be accessed at a user's site over a computer-based network in order to perform functions associated with faxing, including sending, receiving and obtaining status on faxes. The fax connector deployed at a sending user's site communicates with the fax registration system to obtain destination data associated with a recipient user's fax connector and transmits the fax to the destination fax connector over the computer-based network based on the destination data obtained from the registration system. The fax can then be presented to the recipient at the recipient user's site.

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 touch screen controlled light emitting pet toy that has a light emitting device equipped to direct a point of light on a surface to provide entertainment to a pet and includes movement about multiple axis and is operated by a touch screen computer based device communicably connected to a controller of the toy. The toy is equipped to receive user input from an application with a touch-screen directly or indirectly via a camera that provides live video data to the application and relays user input to the toy further allowingdikect control and pre-recorded pattern control of the light emitting device through low latency touch screen interactions.

A device for determining the presence of a characteristic of a sample includes a light source for emitting pulsed excitation radiation, a detection device for detecting an autofluorescence radiation emitted by the sample, and a computer-based evaluation device. The detection device is configured to detect the autofluorescence radiation of the sample in a time-resolved manner at different wavelengths by means of time-correlated single photon counting and to provide the evaluation device with two-dimensional data with a wavelength dimension and a time dimenion. The evaluation device is configured to classify the provided data into classes by means of a classifier. The evaluation device is configured to identify specific wavelengths to be prioritized during the classification on the basis of features formed in the time dimension of the data.