914 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.

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 discloses a course learning planning system based on a computer, and relates to the technical field of course learning planning, and the course learning planning system comprises a learning data acquisition module, a knowledge graph construction module, a learning index scoring module, a multi-index comprehensive evaluation module, a learning plan making module and a real-time progress feedback module. Wherein the modules are connected through electric signals; the learning data acquisition module is used for collecting learning data of students and determining evaluation indexes of the learning data. According to the course learning planning system based on the computer, by monitoring the learning progress and achievement of students, instant learning feedback is provided for the students, so that the students can quickly know the learning state of themselves, related learning resources and exercises are intelligently recommended according to the learning conditions of the students, the students are helped to consolidate knowledge and make up for deficiencies, and the learning efficiency is improved. Students can achieve a higher learning effect in a shorter time, and the learning efficiency is improved.

A method includes scanning a plurality of hosts in a network to obtain risk information of each instance of vulnerability associated with each host during a period, calculating a vulnerability risk score (VRS) for each instance of the vulnerability based on the associated risk information, determining a number of vulnerabilities associated with each of the plurality of hosts during the period, obtaining a criticality score of each of the plurality of hosts, obtaining for each host, a representative VRS based at least in part on the VRS for each instance of vulnerability associated with the host, calculating a host risk score (HRS) for each host based on the representative VRS, the number of vulnerabilities and the criticality score of the host, calculating a network risk score (NRS) for the network based on the HRSs, and facilitating a security action based on the HRS for each host and the NRS.

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.

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.

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.

The invention relates to an audio data processing method and device based on artificial intelligence and a computer. The method comprises the following steps: extracting voiceprint data of an object by using voiceprint features, and then repairing voice variation and semantic defects in a to-be-processed sound according to initial repairing parameters in combination with voiceprint and image data of the object; if the restored sound data still have voice variation or semantic defects, adjusting the initial restoration parameters, and re-executing the restoration process; the adjustment and restoration process is continuously iterated until it is detected that voice variation and semantic defects do not exist in the voice data any more; and when the problem cannot be detected again, outputting the repaired sound data as target sound data. By adopting the method, the real-time repairing efficiency of the audio data with voice variation and semantic defects can be effectively improved.

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.

In an approach to improve the privacy of chat groups within a virtual world, embodiments of the present invention expand a chat area of a chat group to form an experience annulus according to predetermined distance that a voice volume of private-chat-group member can propagate. Responsive to identifying an external user is interested in the chat group, embodiments generate and set a current topic representing a conversation in the chat group as an externally hearable topic that is perceivable by the external user and generate a faux multi-person conversation associated with the externally hearable topic that corresponds to a real conversation made by members in the chat group. Further, embodiments assign the faux utterances to chat group members based on a corresponding speaker index and utilize one or more corresponding avatars of the chat group members to present the faux utterances to the external user.

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.

An approach is provided for computer-vision-based object motion detection. The approach involves receiving a video sequence captured from a perspective of a vehicle / device traveling at street level. The approach also involves processing frames of the videos sequence using computer vision to determine semantic localization feature(s) associated with object(s) detected in the frames. The approach further involves clustering the object(s) into object cluster(s) across the frames based on the semantic localization feature(s). The approach further involves creating an object vector connecting the object(s) in a given cluster of the object cluster(s) across the frames. The approach further involves computing an angle between the object vector and a reference vector associated with a movement of the vehicle / device across the frames. The approach further involves classifying a motion of the object(s) relative to the vehicle / device based on the angle.

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.

A method includes receiving by a controller, a surgeon-specific surgery profile for an implantation of an implant into a joint, implant profiles, a patient-specific post-surgery desired functional profile of the joint after the implantation, and bone registration data for a first bone member and a second bone member of a patient are inputted into a surgical plan model to generate a surgical plan. The surgical plan model is designed to achieve the patient-specific post-surgery desired functional profile based at least in part on a plurality of dependencies between a plurality of surgical parameters, the implant profiles, at least one functional parameter representative of the expected functional performance of the joint, and movement-related data of the joint. The surgical plan is outputted on a graphical user interface (GUI) on a surgery assistant device to facilitate the implantation.

This disclosure presents an image generation system designed to generate a series of contextually-persistent visual images for a text document. For instance, the image generation system utilizes multiple computer-based models, entity identifiers, and visual entity embeddings to create multiple synthetic images for a given text document. These synthetic images share a consistent theme and style. Additionally, the synthetic images include the same characters, places, and objects. Indeed, the image generation system implements seamless and consistent visual representations of the entities throughout the text document.

The invention relates to the technical field of computer signal processing, in particular to a signal processing system, method and device based on a computer, and the system comprises a high-precision collection module which is used for collecting signals; the distributed processing module is used for realizing distributed acquisition and processing of signals; the multi-signal fusion module is used for carrying out fusion processing on the acquired different types of signals; the real-time signal early warning module is used for monitoring and early warning abnormal signals in real time; the analog signal simulation module is used for generating an analog signal through a computer simulation technology so as to simulate a real environment; and the intelligent diagnosis and maintenance module is used for carrying out monitoring and fault diagnosis on the running state of the system through a long-short-term memory network and providing maintenance reminding. According to the invention, high-precision acquisition of signals can be realized, monitoring requirements in a complex environment are met, the accuracy and reliability of signal processing are improved, and the risk of device faults and the maintenance cost are reduced.

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.

An automated system and corresponding method is configured to predict a call duration of a customer service interaction between a caller and a customer-service agent of a call center, based at least in part on information provided orally by the caller to the automated system. The automated system transcribes the orally provided information, preprocesses the transcribed data, adds feature enrichment data to supplement the transcribed data, and executes a machine-learning model to predict the caller's intent. If the predicted caller's intent does not have an adequate confidence score associated therewith, the system requests additional data from the caller, and supplements the original data with newly provided data, and again determines a predicted call intent. This process may iterate until the confidence score satisfies applicable confidence criteria prior to utilizing two additional machine-learning models to predict a call duration of the interaction between the caller and a customer-service agent.

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.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, at least, detecting an optical sight to align with an associated agricultural object, tracking the agricultural objects relative to the optical sight, predicting a parameter to track in association with agricultural object, and activating an emitter to apply an action based on the parameter.

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.

A method and system performed by a processor includes receiving from a verified user, an authentication answer for identity-authentication questions. An authentication answer embedding vector in a textual embedding space is generated by inputting each authentication answer into an embedding engine and stored. An unverified-user authentication answer is received, in response to posing to the unverified user, a specific identity-authentication question of the verified user. An unverified-user authentication answer embedding vector is generated using the embedding engine. An embedding space distance is computed between the unverified-user authentication answer embedding vector and the authentication answer embedding vector for the specific identity-authentication question of the verified user posed to the unverified user. A similarity score based on the embedding space distance is computed. The unverified user is identified as the verified user when the similarity score is higher than a predefined threshold score.

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.