95 results about "Feedback loop" patented technology

In an enterprise where a database maintains multiple accounts for one or more business customers, a method, system, and computer program product correctly links accounts which are associated with a single location of a common business. Further hierarchical linkages are established between accounts associated with multiple locations of the common business. The linkages are established via matching rules, the matching rules including provisions for optimizing the quality of the account data, integrating account-related data from external sources, and assigning quality-of-matching factors to different kinds of account data. Both internal and external account data are utilized to create an integrated view, or “business demographics”, of the business structure of the single common business shared by the linked, hierarchically-related accounts. Separate accounts of separate businesses which are nonetheless related accounts may be associated with each other. Feedback loops may be used to correct both erroneous data and the linking rules.

Techniques and mechanisms described herein facilitate the performance of feedback-based weighted content recommendation. According to various embodiments, input data for performing media content recommendation analysis may be identified. The input data may describe the presentation of a plurality of media content items in association with a plurality of content management accounts. The input data may comprise a plurality of data points. Each of the data points may identify respective feedback data for a respective one of the media content items previously recommended for presentation in association with a respective one of the content management accounts. The feedback data may identify a viewer reaction to the recommended media content item. For each or selected ones of the data points, a respective weighting factor based on the feedback data for the respective media content item presented in association with the respective content management account may be applied.

The invention relates to a grey active disturbance rejection control (ADRC) method of a long time-delay system. The method comprises the following steps of: arranging a grey prediction model GM (1,1) in a feedback circuit of ADRC; and compensating system time delay and processing system uncertainty caused by parameter time variation and the like by using grey advanced predication so as to form a new control law acting on a controlled object, improve the control effect of the ADRC and fulfill the aim of efficiently controlling a complicated time delay object. By the control method, the dynamic and steady control performance of a long time-delay time-varying object can be effectively improved by a control system.

First, a digital section constituting a linearizer is activated. Then, a feedback loop for updating a distortion compensation coefficient is opened. Then, the analog section on the antenna side is activated from an ADC, including a PA, etc., or a DAC. Then, both the ATT value of an ATT installed in a feedback route for updating the distortion compensation coefficient and the signal delay amount of a signal delay unit are adjusted to make a state such that the distortion compensation coefficient can be accurately updated. Then, the feedback loop is closed, a distortion compensation table having the distortion compensation coefficient as an entry is generated and after the generation is completed, the operation shifts to the normal operation.

The invention discloses a nonlinear dynamics calculation method for a gear pair. The method comprises the steps that the feedback effect of vibration displacement to the dynamic contact condition of agear surface of the gear pair in the actual running process is considered, and the nonlinear excitation of the dynamic meshing rigidity and dynamic comprehensive meshing errors is calculated. Dynamiccontact analysis of the gear pair and a system dynamics solution process are combined, and an excitation-response-feedback loop-locked calculation process of the system is achieved. According to themethod, the nonlinear dynamics phenomenon of the gear pair due to parameters such as gear surface errors and shape correction can be acquired, the dynamics behavior of the system in the dynamic contract process can be more truly simulated, and the calculation accuracy of dynamics is improved.

Systems are provided for utilizing crowdsourcing and machine learning to improve computer system security processes associated with user risk profiles and sign-in profiles. Risk profiles of known users and logged sign-ins are confirmed by user input as either safe or compromised. This input is used as crowdsourced feedback to generate label data for training/refining machine learning algorithms used to generate corresponding risky profile reports. The risky profile reports are used to provide updated assessments and initial assessments of known users and logged sign-ins, as well as newly discovered users and new sign-in attempts, respectively. These assessments are further confirmed or modified to further update the machine learning and risky profile reports.

Disclosed are a method and system for finding an optimal data layout. The approach of the present invention is to try one of several data layouts in the memory, measure the impact of said one data layout on a performance of a program, and decide which of said several data layouts to try next. The trying and measuring steps are repeated, and one of said several data layouts is selected as best or optimal based on the measurings. The preferred embodiment of the invention provides layout auditing, a framework for picking the best data layout online without requiring any user input. Layout auditing optimizes data layouts with a try-measure-decide feedback loop: use a data reorganizer to try one of several data layouts, use a profiler to measure the impact of the data layout on performance, and use a controller to decide which data layout to try next.

Provided are delta-predicted frequency offset compensation apparatus and method that estimates an offset delta of forthcoming symbols by using a principle that the offset delta of a symbol in a previous section is almost the same as an offset delta of some forthcoming symbols. The offset compensation method of the present research includes the steps of: a) estimating a frequency offset of a communication system based on an estimation period and estimation algorithm; b) outputting a compensation value for offset compensation through a feedback loop by considering the frequency offset value estimated based on the estimation period and the frequency offset delta estimated based on the estimation period and delay interval; and c) shifting the phase of a signal by as much as the offset corresponding to an input signal of the communication system to compensate the symbol for the frequency offset. The apparatus and method of the present invention can be applied to a communication system using an orthogonal frequency division multiplexing.

This document describes among other things, network security systems that incorporate a feedback loop so as to automatically and dynamically adjust the scope of network traffic that is subject to inspection. Risky traffic can be sent for inspection; risky traffic that is demonstrated to have high rate of threats can be outright blocked without further inspection; traffic that is causing errors due to protocol incompatibility or should not be inspected for regulatory or other reasons can be flagged so it bypasses the security inspection system. The system can operate on a domain by domain basis, IP address basis, or otherwise.

The invention relates to the field of integrated circuits, and provides a technical scheme of a TSPC trigger, so that a new TSPC circuit has data keeping ability, and the circuit structure runs in a high speed circuit to keep the integrity of the data. The technical scheme adopted in the invention is as follows: the TSPC trigger with a data keeping feedback circuit is composed of 8 PMOS tubes, which are respectively P1, P2, P3, P4, P5, P6, P7, P8; 7 NMOS 7 tubes, which are respectively N1, N2, N3, N4, N5, N6, N7 and 3 inverters INV1, INV2, INV3. The TSPC trigger is mainly applied to the design and manufacture of integrated circuits.

A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by vendor workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.

A method for identifying a creative request from a user, and determining a resource for satisfying the creative request is provided. The method also includes adding the creative request and the resource in a project, recognizing a risk associated with an availability of the resource according to a database, and identifying a collaborator based on a match between the creative request and a quality of the collaborator. The method also includes assigning a task to the collaborator based on a map between multiple tasks in the creative request, verifying a completion of the task by the collaborator, forming a feedback loop for the project, and scoring the project based on an information collected from the feedback loop. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

The invention belongs to the field of big data and machine learning, particularly relates to a data-driven complex system mechanism automatic learning method, a system and equipment, and aims to solve the problems that an existing system modeling technology is difficult to predict a behavior trend from field observation data, a reconstructed mechanism model is not matched with physical observation data, the robustness is poor and the like. The method comprises the steps of obtaining historical multi-modal data and real-time multi-modal data, constructing a time sequence long-range correlation hypergraph model through airspace circulation memory coding, performing normalized combination on the hypergraph model through a neural differential equation model, and performing automatic iterative search on a continuous game network structure to obtain a system mechanism continuous dynamic model, and performing biological evolution simulation to obtain a causal model, and recalculating an association weight to obtain an active early warning system. According to the method, non-linearity, emergence, balance step, adaptability and special property description of a feedback loop of a complex system are realized, and the prediction accuracy of the model is improved.

The invention discloses a distributed self-optimized intrusion detection alarm associated system, which comprises a local alarm associated analysis module, a system response component, an overall associated analysis module, a human-computer interface module, an intrusion detection unit and a plurality of databases. The system utilizes the property of an intrusion detection system, alarm multimediamessage weighting information and the like to improve the accuracy rate and reduce the processed data quantity, can achieve automatic optimized configuration by means of three feedback loops to avoidthe influence of error configuration, and can support distributed application environment and expansibility through the combination of local association and overall association; the system response component can automatically execute related response actions so as to reduce the workload of a security administrator and have more response time; and the human-computer interface module provides a convenient and quick management interface for the security administrator so as to reduce the using threshold of the system. The system overcomes the defects of the prior system, remarkably improves the detection accuracy rate and efficiency of the system, can defend distributed large-scale intrusion, and is suitable for modern distributed network application environments.

A data storage cell having a data line configured to transmit a data value to and from the storage cell, a feedback loop configured to store the data value, a first access device to provide access between the data line and a first point in the feedback loop, a second access device to provide access between the data line and a second point in the feedback loop, the first access point being a less stable point in the feedback loop than the second access point such that a variation in a voltage at the first access point is more likely to disturb said data value stored in the feedback loop than a variation in voltage at the second access point.

An embodiment of a feedback-based system and methods are disclosed for real-time mitigation of fraud and otherwise invalid traffic in a mobile ad environment. The system of three complementary facets of one embodiment comprises four major sub-systems: prevention, detection, control and reporting, which work in cohesion with one another to achieve the common goal of the system. In the embodiment, deterministic and probabilistic methods are applied across all levels of user engagement (impressions, clicks, installs, post-install events, and conversions) to detect the likely sources of invalid traffic and block them in real time. A distinctive and unifying feature of the embodiment of the system is the feedback loop that connects advanced analytics and machine learning techniques that the detection subsystem employs at all levels of user engagement to the real-time blocking mechanism of the prevention subsystem that operates at the initial levels of user engagements, such as clicks and impressions. Embodiments of the invention can help ad networks and advertisers improve their competitive positions in their respective fields by significantly reducing the negative impact of mobile ad fraud.