223 results about "Evaluation period" patented technology

System and method for evaluating driver performance, comprising detecting operations of a vehicle using an on-board vehicle monitoring system, comparing the operations to predetermined criteria, identifying violations of the predetermined criteria, tracking violations that occur during an evaluation period, and, at the end of the evaluation period, calculating a grade associated with operation of the vehicle.

A method for individualized management of diabetes in insulin-dependent patients provides a period of evaluation as the patient adheres to a structured pattern of eating, sleeping, and physical activity. Glucose is monitored with a continuous glucose monitoring system, insulin doses are metered, carbohydrate consumption is quantified, and glucose, carbohydrate, and insulin data are collected and analyzed. Insulin dosage is adjusted in three steps: (1) an insulin dosage is estimated from conventional formulas, (2) adjustments are made according to the patient's clinical specifics, and (3) further insulin dose adjustments are made according to glucose data obtained during the evaluation period. By the end of the evaluation period, substantially normal glucose values are achieved, and quantitative relationships from data are calculated that are then applied to determine insulin dosages for an ensuing period of therapy. By this method, diabetic patients achieve a near normal glycemic profile, and without significant occurrence of hypoglycemic episodes.

A biological condition evaluation apparatus determines a symptom of a heart abnormality based on at least one index calculated from a heartbeat interval and / or a pulse interval. The apparatus determines whether it is in a referential period where an amount of change in the index is comparatively small. The apparatus determines whether a plurality of conditions are satisfied or not in an evaluation period set after the referential period. One condition is that an amount of change in the index in the evaluation period is greater than that observed during the referential period. Another condition is that a rate of change in the index is equal to or greater than a predetermined threshold value. The apparatus determines that there is a symptom of a heart abnormality, when both the conditions are satisfied.

A technique manages targets to which probe packets are sent from a source of a computer network. The novel target management technique dynamically selects an optimal set of valid targets for a particular (monitored) prefix of the computer network. Specifically, one or more targets are selected from a pool of possible learned and configured targets to be used as representatives of the monitored prefix. Probe packets are sent from the source to the selected targets for the duration of an evaluation period. Targets that do not respond to the probe packets during the evaluation period are invalid and deselected, and if available, an unused target is selected from the pool of possible targets to replace each non-responding target for a next evaluation period. Invalid learned targets are discarded, while invalid configured targets are returned to the pool of possible targets for potential re-selection in a later evaluation period.

A method is provided of predicting a degree of service-quality compliance in an IT infrastructure. The method is carried out at a current point of time within an evaluation period before the end of the evaluation period, wherein service-quality compliance means that a service-quality parameter of the IT infrastructure complies with a service-quality objective. The method includes obtaining a statistic which indicates probabilities that the service-quality parameter will comply with the service-quality objective in sub-periods of the future part of the evaluation period. The statistic is based on known compliance frequencies in equivalent sub-periods in the past. A calculation, on the basis of the statistic, indicates an estimated duration in which the service-quality objective will be complied with during the future part of the evaluation period.

A dynamic logic register including a complementary pair of evaluation devices, delayed inversion logic, a dynamic evaluator, latching logic, and a keeper circuit coupled to the output. The evaluation devices are responsive to a clock signal and provide a pre-charged node and an evaluation node. The delayed inversion logic outputs a complete signal that is a delayed and inverted version of the clock signal. The dynamic evaluator, coupled between the pre-charged and evaluation nodes, evaluates a logic function based on a data signal during an evaluation period between operative edges of the clock and complete signals. The latching logic enables the state of an output node to be determined by the state of the pre-charged node during the evaluation period and otherwise clamps the pre-charged node to prevent perturbations of the data signal from propagating to the output node.

A location visit confirmation service includes a portable wireless device, a schedule of predetermined sites, a location identification means and a central processor. The central processor periodically receives position data generated by the location identification means identifying the location of the portable wireless device. The central processor compares this position data to the schedule of predetermined sites. Using a threshold based on distance, or distance and time, it is determined whether a service person completed a visit to one of the sites in the schedule. At the end of the site visit confirmation evaluation period, a summary report is generated that confirms those scheduled site visits that were completed. The summary report is provided by the wireless carrier to the subscriber.

In a stock price chart in which “sticks” for a predetermined stock brand are arranged in time series on coordinates consisting of a price axis and a time axis, wherein the “sticks” are arranged such that an upper end and a lower end of the “stick” show one of an average closing price for the present evaluation period and an average closing price for the previous evaluation period, respectively, an indication showing a magnitude relationship between an average closing price for the previous evaluation period and an average closing price for the present evaluation period, and a “line” connecting a coordinate point showing a closing price of the present evaluation period and an upper end or a lower end of a “stick” showing an average closing price for the present evaluation period and an indication showing a magnitude relationship between them are added to the “line”.

Roughly described, assertion expressions are evaluated against the binary signal values of a circuit simulation in such a way as to be able to report status information at intermediate levels of assertion subexpressions. In one embodiment, the status information reported for an intermediate subexpressions contains the final status of that subexpression in response to a given assertion attempt, at least to the extent it has been determined by the end of the evaluation period (e.g. pass, fail or indeterminate). In another embodiment, the status information reported for an intermediate subexpression contains a tick-by-tick analysis of the activity within that subexpression. In another embodiment, the status information for a subexpression can also contain a tick-by-tick analysis of the activity of an operator of the subexpression. Other kinds and levels of detail at the subexpression level can be provided in various other embodiments.

The invention discloses a wind power penetration optimization evaluation method based on SCED. The method comprises the following steps: based on a physical model and an economic model of an evaluation power grid and under a condition of knowing a turn on / turn off scheme of a routine unit, establishing a safety constraint economy scheduling model; taking a wind power station in an area as a concrete evaluation target, setting an optimization object of the safety constraint economy scheduling model to be a maximized total wind power output and acquiring an optimization model of wind power penetration evaluation; linearizing non-linear factors in the evaluation model; solving the evaluation model by adopting a linear programming method, calculating an active curve of the accepted wind powerin the research area, acquiring a wind power penetration ability of the power grid and acquiring a maximized grid-connected generation capacity of the each wind power station in an evaluation period.By using the method of the invention, carrying out precontrol to a risk of accessing large scale wind power into the power grid can be easily achieved, and security of power grid operation can be raised.

Systems and methods for measuring the performance of calls on securities by a securities analyst during an evaluation period are disclosed. According to various embodiments, the system may include a performance evaluation module. The performance evaluation module is for determining a value (called the “hit ratio”) indicative of the success of the calls by the analyst for securities within a benchmark group of securities within an industry covered by the analyst relative to a benchmark return for the benchmark group for the corresponding call periods of the calls. The hit ratio may be computed as the ratio of the sum of the actual excess returns to the sum of the total available excess returns for each call by the analyst over the call evaluation period. The contributions to the hit ratio by each call may be equally weighted or weighted according to market capitalization of the rated security.

The invention discloses a cycle system mode capable of achieving life prediction. The cycle system mode comprises the following steps: placing a to-be-evaluated battery in a cycling condition needing to be evaluated to perform a cycle test, recording an accumulated cycle frequency and the cycle capacity maintenance rate of the battery, performing small-current charging and discharging tests on the battery after each certain cycle frequency or capacity loss rate at the same time, recording voltage and capacity data of the battery in the charging and discharging process, and recording the corresponding cycle frequency and the corresponding capacity maintenance rate; and then performing data fitting and calculation according to the accumulated cycle frequency and the cycle capacity maintenance rate of the battery and differential data of the capacity on voltage, and performing prediction on the battery cycle life. Compared with a conventional cycle test, the cycle system mode greatly shortens the service life evaluation period and prevents energy consumption and resource waste which are generated by a long-term test; and, furthermore, because the data fitting is performed on the basis of short-term actually measured data, the cycle system mode has higher universality and high prediction accuracy compared with a pure theory calculation and experience model.

Systems and methods for managing license privileges associated with software offered for an evaluation period are provided. Methods according to the present invention may include installing an application program on a user terminal; transmitting license information necessary to operate the application program from the user terminal to a license management server; storing the license information in a database; monitoring the license information; and disabling the application program when the license information is not current or has expired. Systems according to the present invention may include a user terminal on which an application program is installed; a license management server coupled to the user terminal through a network; and a license monitor that monitors the application program and the license database. The license management server may include a database of license policies for authorizing the use of at least one application program.

In an anomaly detecting method by using multi-dimensional time series sensor signals including, generating anomaly model by using data of a learning period including neither that period nor any exclusion candidate period, calculating anomaly measurements on the basis of the distance from the normal model and, making a period containing the maximum anomaly measurement value but no exclusion candidate period, learning exclusion periods and anomaly determining thresholds are determined as learned data on the basis of the result in each round, generates anomaly model data in a learning period except learning-exclusion periods regarding acquired data or data in a designated evaluation period, an anomaly measurement at each time point is calculated on the basis of the distance from the normal model, and data at each time point is determined to be anomaly or normal by comparing the anomaly measurements with anomaly determining thresholds.

The invention discloses a power generation risk-oriented hydropower station optimal operation chart drawing method. According to evaluation criterion and standard of a reservoir, the risk rate of the evaluation requirement cannot be met by adopting historical runoff series estimation, and a hydropower station operation chart scheme capable of increasing average power generation benefit and fully considering the power generation risk in a certain specified period (such as an evaluation period or a temporary operation period) is provided for a reservoir operation decision maker. The method can effectively coordinate the short-term benefit and long-term benefit of the reservoir and provides more decision information for the decision maker.

Method and apparatus for performing automatic implied attribution is described, and in particular implied attribution in connection with a campaign. The campaign can be a marketing campaign in which actions (offer cells) are aimed at a contact group and behaviors are monitored within a defined evaluation period. By this method, the behaviors of the contact group can be attributed to the offer cells The method allows the monitoring of multiple behaviors for any number of offer cells for any number of contact groups. Contact groups can be obtained by any query process. The behaviors of a larger target group can also be implied where a link can be established between the contact group and the target group. Also described is a system for performing implied attribution, where the system can be software running on a general purpose computer.

A method of evaluating the performance of a family of target date funds. A model of the family is constructed using realized rates of return (“returns”) for an evaluation period for each of the funds. The returns for each fund are assigned to the periods of the model corresponding to the periods during which the return was realized by the fund. An estimate of the wealth generated by the family may be determined as a function of the returns assigned to the model and a pattern of contributions. A benchmark portfolio may be selected and used to construct a model of the benchmark portfolio having the same number of periods as the model of the family. The model of the benchmark and the pattern of contributions may be used to determine wealth generated by the benchmark portfolio, which may be compared to the estimate of wealth generated by the family.

A system and method are provided for monitoring work in process (“WIP”) in a manufacturing facility. The system and method utilize software objects to identify a bottleneck workstation and calculate a WIP value representing the amount of work approaching the bottleneck workstation. If it is determined that the WIP value for a bottleneck workstation is projected to fall below a control limit during the evaluation period, an additional amount of work is released into the manufacturing line. In this manner, new work is introduced to a bottleneck station in order to prevent bottleneck starvation. Various embodiments provide for multiple products and multiple bottleneck workstations.

A method and system for estimating the position comprises measuring a first carrier phase of a first carrier signal and a second carrier phase of a second carrier signal received by a location-determining receiver. A primary real time kinematic (RTK) engine or receiver data processing system estimates a primary integer ambiguity set associated with at least one of the measured first carrier phase and the measured second carrier phase. A quality evaluator determines if a primary integer ambiguity set is resolved correctly to the predefined reliability rate during an earlier evaluation period. A secondary real time kinematic (RTK) engine or receiver data processing system estimates a secondary integer ambiguity set associated with at least one of the measured first carrier phase and the measured second carrier phase during a later period following the earlier evaluation period.

The invention relates to the technical field of exploration, in particular to a shale gas reservoir stratum exploration method and device. The shale gas reservoir stratum exploration method comprises the steps of obtaining a core sample in a target exploration area, determining hydrodynamic force causes of a shale bed to which the core sample belongs according to the shale sedimentary structure of the core sample, calculating the total organic carbon value of the core sample after the hydrodynamic force causes of the core sample are determined, determining shale gas storage information of the shale bed to which the core sample belongs according to the hydrodynamic force causes and the total organic carbon value of the core sample, and conducting shale gas reservoir stratum positioning exploration on the target exploration area according to the determined shale gas storage information. According to the shale gas reservoir stratum exploration method and device, the number of referred parameters is small, data are easy to obtain, the cost for evaluation of favorable zones and the reservoir stratum in the earlier stage of exploration is reduced, the evaluation period is shortened, the reservoir stratum evaluation problem existing in the earlier stage of exploration can be better solved, and actual requirements for shale gas exploration development can be better met.

The invention introduces a method for intelligently evaluating the running state of a hydroelectric generating set. The method comprises the following steps of: (1) acquiring state real-time data of the hydroelectric generating set; (2) setting intelligent evaluation bases and an evaluation period; (3) evaluating a running state region of the hydroelectric generating set; (4) establishing a running state region database of the hydroelectric generating set; (5) storing the running state region database of the hydroelectric generating set into a real-time running state region database of the hydroelectric generating set; (6) evaluating the running state of the hydroelectric generating set; and (7) releasing information. The method has the advantages that 1, the running state of the hydroelectric generating set can be mastered in real time so as to regulate the running mode and the overhaul plan; 2, the practicality is high and state evaluation can be implemented without additionally adding equipment and the running state region of the hydroelectric generating set is timely and accurately divided; 3, the method has the great guiding significance for ensuring safety operation of the hydroelectric generating set and avoiding an accident being expanded; and 4, the method also has the important significance for coordinated development of a source network.

The invention discloses an automatic database performance analysis and early warning system. The manual analysis evaluation cost for database performance is high, the manual analysis evaluation period is longer, and a service system is often influenced when a failure is found. According to the automatic database performance analysis and early warning system, database performance data are periodically acquired through a database performance data timed acquisition tool, the acquired performance data are automatically analyzed in real time through an automatic database performance analysis tool, an analysis result is compared with a database performance base line to timely find a hidden performance danger, and an alarm is automatically given through a configurable early warning mechanism, so that manual intervention is timely carried out, and operation of the service system is prevented from being influenced. A method for automatically analyzing the database performance data is divided into two stages, wherein in the first stage, single-time performance data are analyzed; in the second stage, continuous performance data are comprehensively and relationally analyzed, and future performance conditions are predicted. The early warning system can provide various methods for early warning through electronic mails, short message service, instant messages, logs, screen display, voices, indicator lamps and the like.

A dynamic floating input D flip-flop (DFIDFF) is provided. The DFIDFF includes a floating input stage, a first string of transistors, and a second string of transistors. At a pre-charge period, the floating input stage transmits the input data to the first string of transistors; the first string of transistors stores the logic status of the input data, and pre-charges its output node to a first level. At an evaluation period, the first string of transistors decides its output node level in accordance with data logic status stored in the first string of transistors; and the second string of transistors decides output level of the D flip-flop in accordance with logic status of the output node of the first string of transistors.

The invention relates to an electric power section off-limit control efficiency evaluation method, belongs to the electric power system operation and control field and solves a problem of lack of scientificity and effectiveness of an evaluation method in the prior art as relevant feedback of evaluation on operation of an electric power dispatcher is rare. The method comprises steps that a power grid mode and operation mode data in an evaluation period are acquired; whether section off-limit occurs is determined, if yes, an ideal control strategy is obtained according to an established ideal control model, and the ideal control strategy is taken as an optimal control strategy; the ideal strategy and an actual scheduling strategy are compared, and an evaluation index is calculated. According to the method, an after-action ideal re-scheduling mode is employed, evaluation is carried out according to difference of the optimal control strategy and the actual control strategy. The method is advantaged in that post-evaluation concept is utilized on a section off-limit control management process, and quantitative evaluation on validity of electric power dispatcher actual section control measures is carried out.

The invention discloses a tax credit score calculating method and device. The method comprises that tax credit behavior record data of an object to be evaluated is obtained; on the basis of a pre-established evaluation index system model and the tax credit behavior record data, scores of first type of evaluation indexes with time attenuation characteristic are calculated regularly or in real timeby utilizing a time attenuation algorithm according to an evaluation period, an attenuation period and a scoring rule, and scores of non first type of evaluation indexes are calculated regularly or inreal time according to the scoring rule; and via a cardinal number scoring method, the index score, index weight and dimension weight of the evaluation index are multiplied to obtain a product of each evaluation index, and the products of different evaluation indexes are added to obtain a tax credit score of the object to be evaluated. Thus, a tax credit evaluation result is more accurate and timely, and influence of the evaluation indexes on a credit evaluation result is reduced with time.

The invention discloses a method, a system and a device for determining network node confidence which are applied to a wireless IP / Internet service environment WiiSE network. The method comprises the following steps: receiving a detection evaluation value which is periodically transmitted by each network node and is obtained according to an action detection result of an adjacent network node, and generating a detection evaluation matrix according to the received detection evaluation value of a current evaluation period; and determining a current trust evaluation matrix according to the detection evaluation matrix and the previously determined trust evaluation matrix, wherein the trust evaluation matrix includes a trust level evaluation value which represents a trust degree of each network node on the adjacent network node. Just and fair trust credit line evaluation between the network nodes is realized.