38 results about "Evaluation Interval" patented technology

Delayed caching receives an evaluation interval to delay updating the objects stored in a delayed cache, delays a time period corresponding to the evaluation interval, and updates the objects stored in the contents of the delayed cache when the time period delay has completed. The configuration operation for the delayed cache selects a time interval to sample a trace having object access frequencies for objects stored in a cache, creates a first working set of objects accessed during the time interval and a second working set of objects accessed during a subsequent time interval based on the historical trace, determines that the difference between the objects contained in the first and second working sets does not exceed a maximum threshold with the selected time interval, and sets a evaluation interval for evaluating the contents of the cache to the selected time interval.

Methods and devices for establishing and using baseline for cardiac pacing response detection are described. A baseline amplitude of the cardiac signal may be established using data acquired in an evaluation interval prior to the delivery of the pacing pulse. An amplitude of the cardiac signal following delivery of the pacing pulse may be referenced using the baseline amplitude. An evoked response from the pacing pulse is detected using the referenced cardiac signal amplitude.

The present invention relates to a bridge field static load test evaluation method, which is mainly a method for evaluating the bearing capacity and adaptation performance of a bridge by means of a field static load test. The method comprises the following steps: (1) determining specific content and method for collecting relevant data for early stage preparation work; (2) establishing a reasonable and accurate bridge structure finite element model according to the collected data; (3) calculating and analyzing a result according to an endogenous force and a stress of the bridge under dead and live loads, and determining theoretical force bearing safety and live load force bearing characteristics; (4) in combination with a traditional key section of the bridge, determining a bridge test section and completing static load test solution designing; (5) performing the field static test for the bridge and processing the test data; (6) studying an evaluation interval corresponding to a preset test evaluation indicator; and (7) making a reasonable and comprehensive assessment on the structural performance of the bridge. The evaluation method and indicator according to the present invention can more effectively indicate the practical bearing capacity and applicability of the bridge in a refined manner, and improving the reasonability and accuracy of the evaluation result.

Methods and devices for establishing and using baseline for cardiac pacing response detection are described. A baseline amplitude of the cardiac signal may be established using data acquired in an evaluation interval prior to the delivery of the pacing pulse. An amplitude of the cardiac signal following delivery of the pacing pulse may be referenced using the baseline amplitude. An evoked response from the pacing pulse is detected using the referenced cardiac signal amplitude.

The disclosure provides methods and apparatus of left ventricular pacing including automated adjustment of a atrio-ventricular (AV) pacing delay interval and intrinsic AV nodal conduction testing. It includes—upon expiration or reset of a programmable AV Evaluation Interval (AVEI)—performing the following: temporarily increasing a paced AV interval and a sensed AV interval and testing for adequate AV conduction and measuring an intrinsic atrio-ventricular (PR) interval for a right ventricular (RV) chamber. Thus, in the event that the AV conduction test reveals a physiologically acceptable intrinsic PR interval then storing the physiologically acceptable PR interval in a memory structure (e.g., a median P-R from one or more cardiac cycles). In the event that the AV conduction test reveals an AV conduction block condition or if unacceptably long PR intervals are revealed then a pacing mode-switch to a bi-ventricular (Bi-V) pacing mode occurs and the magnitude of the AVEI is increased.

A clock and data recovery system acquires a clock embedded in an input data stream by detecting the occurrence of transitions in the input data stream falling into a predetermined phase zone of a sample clock used to sample the input data stream. A control circuit counts how many evaluation intervals have at least one transition in the predetermined phase zone. The control circuit determines if lock is achieved according to the count. If it is determined that lock is not achieved, an output of a variable oscillator circuit used in the clock recovery operation is adjusted until the number of evaluation intervals having one or more transitions in the predetermined phase zone is below a level indicating lock.

The disclosure provides methods and apparatus of left ventricular pacing including automated adjustment of a atrio-ventricular (AV) pacing delay interval and intrinsic AV nodal conduction testing. It includes—upon expiration or reset of a programmable AV Evaluation Interval (AVEI)—performing the following: temporarily increasing a paced AV interval and a sensed AV interval and testing for adequate AV conduction and measuring an intrinsic atrio-ventricular (PR) interval for a right ventricular (RV) chamber. Thus, in the event that the AV conduction test reveals a physiologically acceptable intrinsic PR interval then storing the physiologically acceptable PR interval in a memory structure (e.g., a median P-R from one or more cardiac cycles). In the event that the AV conduction test reveals an AV conduction block condition or if unacceptably long PR intervals are revealed then a pacing mode-switch to a bi-ventricular (Bi-V) pacing mode occurs and the magnitude of the AVEI is increased.

A method of instantiating a data placement heuristic for a distributed storage system begins with a node of the distributed storage system receiving heuristic parameters. The method concludes with the node running an algorithm which instantiates a particular data placement heuristic selected from a range of data placement heuristics according to the heuristic parameters. According to an embodiment, the heuristic parameters comprise a placement constraint, a metric scope, an approximation technique, and an evaluation interval.

The invention discloses an advertisement channel assessment method and device, equipment and a storage medium, and the method comprises the steps: determining a channel attribute index of a target channel according to the obtained advertisement data of the target channel; calculating a channel evaluation value of the target channel according to the channel attribute index and a preset weight; anddetermining the evaluation quality of the target channel according to the channel evaluation value and a preset evaluation interval. The embodiment of the invention provides a technical scheme. The activation conversion rate, the payment conversion rate, the customer obtaining cost and the customer unit price of a target channel are calculated, a channel assessment value is calculated according toa corresponding calculation formula, the quality of the target channel is determined according to the assessment value, and a clear quality assessment method of the promotion channel is provided to achieve accurate monitoring and management of the promotion channel.

Navigation systems, methods, and programs acquire evaluation information for each unit interval having a predetermined distance, the evaluation information being an index for evaluating a driver's driving operation of a vehicle, and determine based on a first scale of a map displayed on a display unit, a first distance of an evaluation interval for evaluating the driver's driving operation. The systems, methods, and programs evaluate the driver's driving operation in the evaluation interval having the first distance based on the evaluation information for each unit interval included in the evaluation interval, and display the evaluation result at a position corresponding to the evaluation interval on the map displayed on the display unit.

The invention relates to a power distribution network three-dimensional simulation training credibility evaluation method based on a cloud matter-element model. A correlation function of a matter-element model is expressed with a normal cloud model with randomness and fuzziness considered, the relation between various simulation training reliability evaluation indexes and the evaluation intervals of various evaluation result levels is quantified with the correlation function, conversion between quantitative calculation and the qualitative concept is achieved, and finally a power distribution network three-dimensional simulation training credibility evaluation result is worked out according to the maximum membership degree principle. Finally, with a power outage cable replacement subsystem as the embodiment, the credibility of the power outage cable replacement subsystem is evaluated, which shows the superiority and feasibility of the cloud matter-element algorithm. The cloud matter-element algorithm with the cloud model and the matter-element model combined is adopted to evaluate the credibility of power distribution network training simulation, wherein the correlation function of the matter-element model is expressed with the normal cloud model, expert scoring uncertainty is considered, and qualitative index quantification is achieved.

Provided is a convergence performance determination device including an eye information acquisition unit configured to acquire eye information which is information on eye movements of a user when viewing a stereoscopic video; a convergence movement calculation unit configured to calculate amounts of convergence movement each indicating a degree of a convergence eye movement of the user, based on the eye information acquired by the eye information acquisition unit; and a determination unit configured to determine convergence eye movement performance of the user by comparing between distribution data indicating a distribution of the amounts of convergence movement calculated by the convergence movement calculation unit in an evaluation interval which is a predetermined playback time interval of the stereoscopic video being viewed by the user and distribution data indicating a distribution of the amounts of convergence movement determined in accordance with depth information on the stereoscopic video in the evaluation interval.

A measured value for a PMV within a living space is sent to a comfort efficacy evaluating device. Occupancy information (the current number of occupants N) in the living space is sent to the comfort efficacy evaluating device. The comfort efficacy evaluating device calculates a comfort index P as P=1.0−|PMV| / 3, and this comfort index P is weighted by the number of occupants N at the time that the comfort index P was taken. In this case, if the number of occupants is relatively high, the weighting is high, and if the number of occupants is relatively low, then the weighting is low. Additionally, the weighted comfort index P is integrated over an evaluation interval, and thus integrated value, or a weighted average based on this integrated value, is used as a comfort efficacy index TP. An evaluation of the efficacy of energy conservation can be performed in the same way, taking into account the current occupancy of the living space.

A signal evaluating device comprises: a binarizing portion for binarizing an input signal; a run length measuring portion for measuring the run length of the input signal during the evaluating interval, using the output of the binarizing portion as the input; and evaluating means for calculating, from the measurement results of the run length measuring portion, a distribution wherein the noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and for evaluating whether or not the input signal is valid through comparing the calculated frequency to the run length frequency obtained from the measurement results by the run length measuring portion (probability calculating portion, noise frequency calculating portion, and validity evaluating portion).

The invention relates to a system for determining an interference relationship between cells of a cellular communication system comprising at least a first cell and a second cell. A method comprises the step of dividing (205) an evaluation interval into a plurality of sub-intervals. For each sub interval, the method proceeds to determine (209) a sub-interval simultaneous occupancy related to the correlation between communication in the first and second cell. The sub-interval simultaneous occupancy is determined from an occupancy of each of the first cell and the second cell. A sub-interval potential interference is then determined (209) in response to the interference characteristics in each sub-interval. An interference relationship is subsequently determined from the sub-interval potential interferences and the sub-interval simultaneous occupancies. The interference relationship provides a measure of the impact of interference between the first and second cell suitable for frequency planning.

Navigation systems, methods, and programs acquire evaluation information for each unit interval having a predetermined distance, the evaluation information being an index for evaluating a driver's driving operation of a vehicle, and determine based on a first scale of a map displayed on a display unit, a first distance of an evaluation interval for evaluating the driver's driving operation. The systems, methods, and programs evaluate the driver's driving operation in the evaluation interval having the first distance based on the evaluation information for each unit interval included in the evaluation interval, and display the evaluation result at a position corresponding to the evaluation interval on the map displayed on the display unit.

The invention discloses a method for evaluating the intelligent level of an automatic driving system under different network connection degrees. The method comprises the following steps: S1, selectingevaluation indexes of the intelligent level of the automatic driving system; s2, obtaining a quantitative evaluation basis of the intelligent level of the automatic driving system according to the numerical difference between the actual action quantity and the theoretical minimum action quantity in the test traffic process; s3, determining the change range of the quantitative evaluation basis, dividing at least two evaluation intervals for evaluating the intelligent level of the tested automatic driving system, wherein each evaluation interval corresponds to one intelligent level; s4, acquiring multiple groups of quantitative evaluation basis data of the tested automatic driving system under different network connection degrees; and S5, performing statistical analysis on the quantitativeevaluation basis data, and evaluating the intelligent level of the tested automatic driving system according to each statistical analysis result. According to the invention, the intelligent level of the automatic driving system under different network connection degrees can be evaluated stereoscopically and truly.

The invention relates to an elevator maintenance effect evaluation method and device, computer equipment and a storage medium, and belongs to the technical field of information evaluation. The methodcomprises the steps of acquiring characteristic information of an elevator, wherein the characteristic information is extracted from elevator operation information; determining an evaluation intervalcorresponding to the characteristic information, and determining a corresponding characteristic score from a predetermined mapping relationship according to the evaluation interval, wherein the mapping relationship comprises a corresponding relationship between the evaluation interval and the characteristic score; and evaluating an elevator maintenance effect according to the characteristic score.According to the technical scheme, the problem of inaccuracy in elevator maintenance effect evaluation is solved. The evaluation process can be automatically carried out, so that the influence of human factors can be effectively eliminated, and the accuracy rate of elevator maintenance effect evaluation is improved.

The invention provides an evaluation method for stability and result integrity of multi-batch process in a batch charging (fragrance) mode. The method comprises the following steps: firstly, determining an evaluation interval of a multi-batch charging or perfuming process in a batch charging or perfuming mode, a process data collection requirement, an evaluation project, a judgment standard of theevaluation project, a weight of the evaluation project, a scoring standard of the evaluation project and a comprehensive scoring method of multi-batch evaluation; secondly, gradually calculating according to a judgment standard and a related formula through data acquisition to obtain the numerical value of each evaluation index among multiple batches; then, according to the numerical values of all the evaluation items and the corresponding scoring standards, scoring all the evaluation items in multiple batches; and finally, with the scoring result of the calculated numerical value as a data source, calculating a comprehensive score of the stability of the feeding or perfuming process in the multi-batch tobacco shred production process in a batch feeding or perfuming mode by using a weighting formula according to the weights of the evaluation items among the multiple batches. According to the evaluation conclusion, the quality of a single evaluation project in the evaluation period canbe evaluated or the tobacco shred making process among multiple batches can be comprehensively evaluated, and a scientific basis is provided for quality analysis and improvement of a multi-batch feeding or perfuming production process in a batch feeding or perfuming mode.

The invention provides an employee evaluation method and device, equipment and a storage medium, and the method comprises the steps: obtaining employee information, carrying out the clustering of theemployee information according to a pre-configured objective factor, and obtaining a plurality of clustering sets; calculating a single evaluation result of each evaluation index in each cluster set to determine an index evaluation interval of each evaluation index in each cluster set; and according to each index evaluation interval, carrying out normalization processing on each corresponding single evaluation result, and generating each single normalization evaluation result of each employee. According to the method, employee information is reasonably clustered through pre-configured objective factors, and an evaluation interval of each evaluation index is determined in each cluster set, and normalization processing is performed on the single evaluation result by using the evaluation interval, thereby realizing objective, reasonable and unified evaluation on the employee groups which cannot be subjected to unified evaluation according to the basic indexes.

Navigation systems, methods, and programs acquire evaluation information for evaluating the driving of a vehicle, evaluate the driver's driving operation for each evaluation interval having a predetermined travel distance based on the evaluation information, and display a past evaluation result and a current evaluation result at a position corresponding to each evaluation interval on a map in a mode that differs between the past evaluation result and the current evaluation result. When the vehicle arrives at an end point of the evaluation interval of the past travel from the same direction as during the past travel time, the systems, methods, and programs evaluate the driver's driving operation for a current evaluation interval along a travel track of the current travel and display the current evaluation result on the current evaluation interval at a position which corresponds to the current evaluation interval and at which the past evaluation result is displayed.

A signal evaluating device comprises: a binarizing portion for binarizing an input signal; a run length measuring portion for measuring the run length of the input signal during the evaluating interval, using the output of the binarizing means as the input; and a validity evaluating portion for evaluating whether or not the input signal is valid, from the degree of matching of a run length frequency distribution, obtained from the measurement results by the run length measuring portion, and a geometric distribution. The validity evaluating portion evaluates whether or not an input signal is valid through a ratio of the total frequency during the evaluation interval to Nsamp / 2, or a ratio of the frequency of a class 1 during the evaluating interval to Nsamp / 4, where Nsamp is the total of the sampling clocks for measuring the run length during the evaluating interval.

The application provides a live broadcasting method and device and a terminal. The live broadcasting method includes the following steps: acquiring the evaluation data in an evaluation interval, wherein the evaluation data includes the number of data packets in a host cache acquired when the time points in the evaluation interval meet the data acquisition condition; analyzing the evaluation data to obtain the data packet accumulation result of the host cache in the evaluation interval; determining a code rate adjustment strategy based on the data packet accumulation result, wherein the code rate adjustment strategy indicates to increase or decrease the code rate; and adjusting the code rate of the host according to the code rate adjustment strategy so that the host can compress the live stream generated by the host according to the adjusted code rate and obtain and store data packets in the host cache. The code rate can be adjusted automatically according to the accumulation of data packets in the host cache. Live broadcasting of higher quality can be provided on the basis that smooth live broadcasting is ensured.

In one aspect, a method for a sleep mode in a dynamic circuit includes driving a dynamic node to an operating voltage state during a precharge interval by precharge timing circuitry coupled to the dynamic node and a voltage source responsive to a precharge signal. The dynamic node is selectively pulled to a low voltage state during an evaluation interval by input circuitry coupled to the dynamic node responsive to one or more input signals. The dynamic node voltage is inverted by output circuitry coupled to the dynamic node and to an output node. The output node is isolated from ground during a sleep interval responsive to a sleep signal by sleep circuitry coupled to the output circuitry.