386results about How to "Accurate decision" patented technology

The present system and associated method resolve the problem of providing statistical performance guarantees for applications generating streams of read / write accesses (I / Os) on a shared, potentially distributed storage system of finite resources, by initiating throttling whenever an I / O stream is receiving insufficient resources. The severity of throttling is determined in a dynamic, adaptive way at the storage subsystem level. Global, real-time knowledge about I / O streams is used to apply controls to guarantee quality of service to all I / O streams, providing dynamic control rather than reservation of bandwidth or other resources when an I / O stream is created that will always be applied to that I / O stream. The present system throttles at control points to distribute resources that are not co-located with the control point. A competition model is used with service time estimators in addition to estimated workload characteristics to determine which I / O needs to be throttled and the level of throttling required. A decision point issues throttling commands to enforcement points and selects which streams, and to what extent, need to be throttled.

The present invention relates to a method, call handling server (18), local wireless network (10) and computer program product for performing vertical handover of a wireless voice connection, which is a part of a voice connection set up between a portable communication (22) device and another device. The network comprises a number of access points (20) and the call handling server (18) for controlling voice connections to the portable device. The server comprises a control unit (24) that determines a handover situation for the wireless connection to the portable device based on a set of handover factors that comprise the position and movement of the portable communication device in an area of the local network and structural layout information of the area together with knowledge of where in this area there is insufficient coverage.

A call center for handling requests for medical transportation utilizes a system that assists a call center agent by automatically determining, or prompting the agent to ask for, all information needed to assess the level of service required and the effects of any applicable contractual provisions. The system captures information relating to the patient and the requested transportation, and applies service level rules representing the applicable regulatory requirements for medical transportation at the location of the patient to determine the required level of service based on the patient's condition and needs. The system further applies business rules representing the contractual provisions that are applicable to the requested transportation to determine responsibility for the cost of transportation, the authority of the requester to change the level of service or other aspects of the transportation, and the responsibility for the cost of transportation in the event that an aspect of the transportation has been changed.

A compliance manager system automates monitoring, reporting, certification and remediation of user entitlements and roles, making it possible for organizations to easily establish a sustainable access governance model. The system enables organizations to gain enterprise-wide visibility into all user entitlements and roles and, in particular, to monitor who has access to what application, how they got access, and who approved such access. In one embodiment, a discovery and aggregation mechanism acquires identity, entitlement and role information together with associated metadata from enterprise infrastructure and applications. This information is normalized producing a unified view that is complete and correlated across users, entitlements, roles and resources.

An apparatus and method are provided for generating a representation of an image which may be used in tasks such as classification, clustering, or similarity determination. An image, such as a scanned document, in which the pixel colorant values are quantized into a plurality of colorant quantization levels, is partitioned into regions, optionally at a plurality of different scales. For each region, a runlength histogram is computed, which may be a combination of sub-histograms for each of the colorant quantization levels and optionally each of plural directions. The runlength histograms, optionally normalized, can then be combined to generate a representation of the document image.

In an object recognition apparatus for a vehicle which uses intensities of reflected waves from reflecting objects to make a recognition on whether a reflecting object is a vehicle or a non-vehicle, a plurality of transmission waves are emitted to receive a plurality of reflected waves from the reflecting objects, and a decision is made as to whether or not the reflecting object producing the plurality of reflected waves is a unitary reflecting object. If the decision shows a unitary reflecting object, the highest intensity of intensities of the reflected waves from the unitary reflecting object is compared with a reference intensity to makes a decision on whether the reflecting object is a vehicle or a non-vehicle. This enables univocally making a decision for each unitary reflecting object as to whether the reflecting object is more likely to be a vehicle or to be a non-vehicle, thus improving the recognition accuracy.

A sound analysis apparatus employs tone models which are associated with various fundamental frequencies and each of which simulates a harmonic structure of a performance sound generated by a musical instrument, then defines a weighted mixture of the tone models to simulate frequency components of the performance sound, further sequentially updates and optimizes weight values of the respective tone models so that a frequency distribution of the weighted mixture of the tone models corresponds to a distribution of the frequency components of the performance sound, and estimates the fundamental frequency of the performance sound based on the optimized weight values.

A method and a system for determining properties of a vessel in a medical image are provided. The method involves displaying the medical image including the vessel. The displayed vessel is segmented and indicated in the medical image. For an indicated vessel, a maximum curvature along a length of the vessel is determined as the property of the vessel. Another vessel parameter which can be determined is the smallest diameter along the length of the vessel.

A management method capable of making an accurate decision about a malfunction of the semiconductor manufacturing equipment includes sampling a plurality of data of at least one parameter under normal operating conditions of the semiconductor manufacturing equipment; generating a Mahalanobis space A from a group of sampled data; calculating a Mahalanobis distance D.sup.2 from measured values of the parameter under ordinary operating conditions of the semiconductor manufacturing equipment; and deciding that a malfunction occurred in the semiconductor manufacturing equipment when the value of the Mahalanobis distance exceeds a predetermined value.

A frequency translating repeater (200) for use in a time division duplex radio protocol communications system includes an automatic gain control feature. Detection is performed by comparators (401, 411) ADCs (402, 412); DACs (404, 414) and a processor (315). Detection can be overridden by processor (315) using logic elements (406, 416, 407, and 417) to control the generation of a Channel A / Channel B signal and a PA_ON signal for controlling a power amplifier associated with the transmitter.

A multi-function electronic fishing float having an identification number automatically generates radio frequency (RF) signals, if a fish takes bait or is hooked. The generated RF signal is sent to a receiver, and an angler can clearly identify a sign of a fish's bite or hooking through sound, vibration, or light generated by the receiver, without checking the float with eyes.A transmitter sending RF signals corresponding to the fish's bite or hooking is installed in the electronic fishing float that partially comes up above the water surface by buoyancy, and the transmitted RF signals are received by the receiver outputting sound, vibration, and light as information on the fish's bite or hooking.

A method for tracking objects in a scene being viewed by a sequence of digital images comprises: separating a region of interest in the digital images into a plurality of spatially smaller, overlapping modules, and defining a hidden Markov model for each module. The method further comprises observing detections of positions of possible objects at different times, considering a set of states at a point of time (t1) such that the set of states comprises a state having a global optimum probability, and backtracking through the sequence of digital images for each hidden Markov model to shrink the set of states that are possible for earlier parts of the sequence of digital images, such that a single optimal state is found for an earlier point of time (t2<t1), whereby tracks of detected objects through the scene are determined up to the earlier point of time (t2).

The invention discloses a method for visually processing user behaviors of web page access. The method comprises: acquiring click data of the user side; calculating the access frequency of users on various regions in the web page according to the acquired click data; matching the access frequency of the users on the various regions in the web page with corresponding regions; and displaying the matching result. The invention simultaneously discloses a device and a system for visually processing the user behaviors of web page access. The embodiment of the invention can closely connect the relations between the attention degree of the users on content in the web page and corresponding content in the web page, and intuitively and clearly display the attention degree of the users on the content in the web page.

The invention discloses a medical interrogation dialogue system and a reinforcement learning method applied to the medical interrogation dialogue system, and relates to the technical field of medicalinformation. The system comprises a natural language understanding module used for classifying the intentions of users and filling slot values to form structured semantic frames; a dialogue managementmodule used for interacting with a user through a robot agent, inputting a dialogue state, performing action decision on the semantic frame through a decision network, and outputting final system action selection; a user simulator used for carrying out natural language interaction with the dialogue management module and outputting user action selection; a natural language generation module used for receiving system action selection and user action selection, enabling the user to check the selection through generating sentences similar to a human language by using a template-based method. According to the invention, the medical knowledge information between diseases and symptoms is introduced as a guide, and the inquiry historical experience is enriched through continuous interaction witha simulated patient. The reasonability of inquiry symptoms and the accuracy of disease diagnosis are improved, and the diagnosis result is higher in credibility.

The invention discloses a federated learning computing unloading resource allocation system and a method based on a cloud side end, and aims to make an accurate decision for computing task unloading and resource allocation, eliminate the need for solving a combinatorial optimization problem and greatly reduce the computing complexity. Based on cloud side three-layer federated learning, the adjacent advantage of edge nodes to a terminal is comprehensively utilized, core powerful computing resources in cloud computing are also utilized, the problem that the computing resources of the edge nodes are insufficient is solved, a local model is trained at each of multiple clients to predict an unloading task. A global model is formed by periodically executing one-time parameter aggregation at an edge end, the cloud end executes one-time aggregation after the edge executes the periodic aggregation until a global BiLSTM model is formed through convergence, and the global model can intelligently predict the information amount of each unloading task. Therefore, guidance is better provided for calculation unloading and resource allocation.

In a process in which a current is supplied from a switching regulator to multi-chip LEDs, the forward voltages of the LEDs are respectively detected in forward detecting circuits. The detected values are sent to a microcomputer. In the microcomputer, detected values when the multi-chip LEDs are initially turned on are stored as initial values. A first abnormality deciding value is set from the initial value. The detected values are sequentially stored as updated values. Second abnormality deciding values having conditions stricter than those of the first abnormality deciding value are sequentially set in accordance with the stored updated value. A read value is compared with the first abnormality deciding value or the read value is compared with the second abnormality deciding value to decide whether or not the abnormality of the LEDs is present. When it is decided that the LEDs are abnormal, an LED is turned on to inform a driver of the presence of the abnormality.

The invention provides an industrial boiler monitoring and analysis assistant decision-making cloud platform system, which comprises a data collector and a cloud-end server, wherein the data collector is used for collecting industrial boiler real-time monitoring data such as boiler operation parameters and environmental protection monitoring data in real time; the cloud-end server comprises a data analysis module and a data displaying module; the data analysis module is used for analyzing the real-time monitoring data to acquire analysis statistics data such as the operation data and the economic data of the industrial boiler, detecting an alarming event to acquire alarming information, detecting the operation condition of instrument equipment of the industrial boiler, providing maintenance information, judging a field fault reason and providing optimization recommendation; and the data displaying module is used for displaying the real-time monitoring data, the analysis statistics data, the alarming information, the maintenance information and the optimization recommendation. The invention can provide a regional industrial boiler remote monitoring and assistant decision-making platform integrating functions of online monitoring, automatic diagnosis, safety early warning, maintenance promoting, optimization recommendation and the like for various parameters for operation of the boiler as a whole.

PCT No. PCT / SE97 / 00723 Sec. 371 Date Dec. 29, 1997 Sec. 102(e) Date Dec. 29, 1997 PCT Filed Apr. 29, 1997 PCT Pub. No. WO97 / 41448 PCT Pub. Date Nov. 6, 1997The present invention provides a fast, simple and accurate method for determining remaining battery capacity by taking into account the measured discharge parameters, such as voltage and current, which determine the shape of discharge curves for several different discharge currents. By normalizing the measured values, a normalized table is created that is used as a starting point for retrieving the remaining capacity in a battery at an arbitrary discharge current.

The present invention provides a sound outputting apparatus, including: a housing; an electro-acoustic conversion section provided in the housing and configured to acoustically reproduce and output a sound signal; an acousto-electric conversion section provided at a position of the housing at which sound acoustically reproduced by the electro-acoustic conversion section can be collected; a removing section configured to remove a component of the sound signal from an output signal to be outputted from the acousto-electric conversion section based on an acoustic transfer function between the electro-acoustic conversion section and the acousto-electric conversion section; a decision section configured to decide whether or not a predetermined operation is performed for the housing based on an output signal from the removing section; and a control section configured to control so that a predetermined process is performed based on a result of the decision by the decision section.

An apparatus for monitoring of a device including a moveable part, especially a rotating device, wherein the apparatus includes a control module which receives a measured vibration signal of the device provided by a sensor connected to the device, provides a spectrum of the measured vibration signal, pre-processes the spectrum to determine base frequencies and side frequencies, where the base frequencies are frequencies having peak powers corresponding to eigen frequencies of the device or faulty frequencies and the side frequencies correspond to other frequencies, where the control module additionally processes the base and side frequencies by applying separately a one-class classification on the base and side frequencies, combines the results of the one-class classifications to obtain a classification signal representing a confidence level, and outputs a decision support signal based on the classification signal, where the decision support signal indicates an error status of the monitored device.

The present invention discloses a method and system for controlling an underwater robot locus based on deep reinforcement learning. The system comprises a learning phase and an application phase. In the learning phase, a simulator simulates the running process of an underwater robot and collects the data of the simulated running underwater robot, the data comprises the state of each moment and the target state of the next moment corresponding to each moment, and the learning is performed aiming at a decision neural network, an auxiliary decision neural network, an evaluation neural network and an auxiliary evaluation neural network through the data. In the application phase, the state o the underwater robot at the current moment and the target state of the underwater robot at the next moment are obtained and input to the decision neural network obtained through the final learning in the learning phase, and the decision neural network is configured to calculate the propulsive force required by the underwater robot at the current moment. The method and system for controlling underwater robot locus based on the deep reinforcement learning can realize accurate control of the underwater motion track.

A method generates a detail directed hierarchical representation of orientations of a surface of a graphics model. The surface of the graphics model is partitioned into surface cells, each surface cell enclosing a portion of the surface. The surface cells are stored in a hierarchical data structure having levels, wherein the number of levels for a particular portion of the surface is determined by surface detail of the particular portion. A visibility element of the enclosed portion of the surface is determined for each surface cell, the visibility element specifying an axis and a spread defining a range of normal values of the enclosed portion of the surface. The visibility element is stored with the associated surface cell. The surface detail of the particular portion can be determined by a degree of curvature and shading parameters of the surface of the particular portion.

The embodiment of the invention relates to a map data acquisition method, comprising the following steps: an intelligent vehicle acquiring first position information detected by a vehicle-mounted GPS;the intelligent vehicle loading map data according to the first position information; acquiring laser point cloud data detected by vehicle-mounted radar, matching the laser point cloud data with laser point cloud data in the map data to obtain second position information; acquiring inertial measurement data detected by a vehicle-mounted inertial measurement unit and wheel speed gauge data detected by a vehicle-mounted wheel speed gauge; conducting processing and fusion on the detected data through an algorithm, and obtaining accurate position information; correcting the loaded map data according to the accurate position information. A vehicle can be accurately positioned through fusion of detection data of a plurality of sensors, and the accuracy of positioning of the vehicle is guaranteed. Moreover, the map information is loaded in real time according to the accurate position of the vehicle, so that the vehicle can accurately make decision and make motion planning. In this way, the safety of the vehicle during automatic driving is guaranteed.

Improving the deployment of human resources in a work environment and particularly in a contact center environment. Agents working in a contact center are given different assignments based on their skills and proficiencies. Conventional contact centers typically use a static skills resume to evaluate their agents for particular roles. The present invention enables call centers to design customized assessment tools for evaluating their agents. By tailoring the attributes considered important for a particular role, a call center can more accurately, more efficiently, and more easily assess which agents are best-suited for a particular role.

The present invention discloses an interactive presentation method and system of GIS and BIM augmented reality in tubelane and subway construction. The method comprises: a GIS combines an elevation digital model with a BIM to generate a three-dimensional model, and establishes a terrain three-dimensional model on the elevation digital model, and establishes a tubelane-subway three-dimensional model on the BIM and stores the model into a database server; an imaging apparatus acquires a feature range on media, an AR client calls a terrain three-dimensional model and a tubelane-subway three-dimensional model with corresponding numbers according to the feature range to generate an overall three-dimensional model, and outputs the overall three-dimensional model into the corresponding feature range in a display device for overlapped display; and a sometosensory device acquires a corresponding gesture action of an operator, the AR client calls a terrain three-dimensional model and a tubelane-subway three-dimensional model with corresponding numbers according to the gesture action and outputs the terrain three-dimensional model and the tubelane-subway three-dimensional model into the corresponding feature range in the display device for overlapped display. The method and system disclosed by the present invention realize automatic identification and query of AR, and greatly improve working efficiency and quality.

A synchronous control system includes a logic controller (e.g., microprocessor) which can be put into low power standby or sleep mode by shutting off its clock. A quick-start oscillator (QSO) remains shut off to conserve power when not needed, but awakens rapidly and supplies clock signals to the logic controller for quickly awakening the controller so the latter can to respond to exigent circumstances. One such circumstance can be the drop of a vital supply voltage below a predefined threshold. A low power comparator (LPTC) detects the drop and starts up the QSO which in turn awakens the controller. The controller determines what the reason for the awakening is, quickly responds to the exigent circumstance and then turns the QSO off to thereby conserve power and put itself (QSO) back to sleep. Disclosures are provided for the QSO and a first calibration subsystem used to maintain QSO output frequency within a desired range. Disclosures are provided for the LPTC and a second calibration subsystem used to set its trigger threshold. Disclosure of a novel DAC within the LPTC is also provided.

The invention discloses a deep convolutional neural network (DCNN) based fine grain electrocardiogram classification method fusing with online decisions. Unlike a conventional method of using manual features or learning features from an original signal domain, the DCNN based method provided by the invention learns the features and classifications from a time frequency domain in an end-to-end manner. Firstly, electrocardiogram waveform signals are transformed into the time frequency domain by using short time Fourier transform; secondly, concrete DCNN network models are trained by training samples of a specific length; and finally, an online fusion method is provided to integrate previous and present decisions from the different models into a more accurate decision. Experimental results of20 kinds of ECG data sets show the effectiveness of the provided method.

System to allow a conferee that has been defined as a source of nuisance to respond to an automatic decision of an MCU. If the conferee places the conference on ‘HOLD’ with hold music, the ND may identify this as a nuisance connection and send this indication to a control unit in the MCU. The control unit may mute the signal coming from this conferee and may place an Interactive Voice Response (IVR) message to the conferee. A message may inform the conferee that he has been muted and request to press a touch tone key, for instance ‘1’, if he returned from ‘HOLD,’ to press ‘3’ if using a noisy line / environment, or press ‘5’ to disable the ND algorithm. If a response is not received, the message may continue for a certain period or for the rest of the conference. If one of those keys has been pushed the system may act as follows. If the key is ‘1’ an embodiment cancels the mute situation and enables the conferee to be heard. If the key is ‘3’ the embodiment may reduce the sensitivity of the ND algorithm. If the new level is above a defined tolerance the embodiment may instruct the conferee that he is too noisy and not add the conferee's audio to the conference. If the key is ‘5’ the embodiment may disable the ND algorithm and connect the nuisance conferee without condition. Other embodiments may place a noisy conferee in push to talk (PTT) operation.