Abstract: Provided is a method and apparatus for measuring efficiency of an optical device. In the method, a power of emission light from the optical device is calculated by irradiating an excitation stimulus on the optical device. A power of a reference excitation stimulus at which a variation of recombination coefficients in a quantum well of the optical device with respect to a variation of carrier concentration in the quantum well of the optical device becomes minimum is extracted. An internal quantum efficiency of the optical device at the power of the reference excitation stimulus is calculated. An internal quantum efficiency of the optical device at powers of various excitation stimuli is calculated from the internal quantum efficiency of the optical device at the power of the reference excitation stimulus.

Abstract: A method for adjusting an isotropic depth image based on a mis-tie volume is provided. The method generally includes obtaining an isotropic velocity volume for a geophysical volume, obtaining an isotropic depth image of the geophysical volume, obtaining time-depth pairs at downhole locations in the geophysical volume, generating mis-tie values based on the time-depth pairs and the isotropic velocity volume, assigning uncertainties to the mis-tie values, generating a smoothest mis-tie volume that satisfies a target goodness of fit with the mis-tie values. Adjustment of the isotropic depth image may be achieved based on the mis-tie volume or a calibration velocity obtained from the mis-tie volume.

Abstract: A semiconductor device failure analysis method and apparatus and a computer program for the method and apparatus are provided. The method includes: an observation image acquisition process of acquiring a voltage contrast image by charging an exposed conductive layer of a semiconductor device and irradiating the exposed conductive layer with charged particles; a wiring search process of searching for end points connected to the conductive layer based on design data; and a determination process of comparing voltage contrasts of three levels or more set in advance, one of which is set for a wiring depending on a state of an end point of the wiring, with the voltage contrast image acquired in the observation image acquisition process to determine consistency/inconsistency. Since three or more levels are set, for example, a short-circuit formed by a conductive layer connected to a transistor diffusion layer and another wiring can be identified.

Abstract: A measurement instrument having a processor, a first sensor and a second sensor. The processor is adapted to output a measurement signal embodying a measurement of a physical quantity. The first sensor and second sensor are connected to the processor and are operable to generate respectively first and second measurements of the physical quantity. The processor defines a first measurement range within which the measurement signal is dependent on the first measurement and not the second measurement. The processor defines a second measurement range within which the measurement signal is dependent on the second measurement and not the first measurement. The first and second ranges meet at a predetermined transition. The first and second measurements are different at the transition and the measurement embodied in the measurement signal crosses the transition without an abrupt change.

Abstract: Provided are a decoding apparatus, a decoding method and a receiving apparatus for decoding in a system supporting an OFDM/OFDMA scheme. The decoding method includes the steps of: receiving phase-modulated signal; performing subcarrier demodulation on the received signal and generating correlation metrics; generating decoding metrics using the correlation metrics; and determining a payload using the largest metric of the decoding metrics and at least one of an average metric and the second largest metric of the decoding metrics.

Abstract: Methods using mass spectral data analysis and a classification algorithm provide an ability to determine whether a non-small-cell lung cancer patient, head and neck squamous cell carcinoma or colorectal cancer patient has likely developed a non-responsiveness to treatment with a drug targeting an epidermal growth factor receptor pathway. As the methods of this disclosure require only simple blood samples, the methods enable a fast and non-intrusive way of measuring when drugs targeting the EGFR pathway cease to be effective in certain patients. This discovery represents the first known example of true personalized selection of these types of cancer patients for treatment using these classes of drugs not only initially, but during the course of treatment.

Abstract: A computerized method for determining one or more statistically likely geographical locations of an anomaly in a region or zone of a water utility network, the water utility network comprising at least a network of pipes for delivering water to consumers and a plurality of meters positioned within the water utility network including a plurality of meters capturing data regarding the water delivering within the region or zone of the anomaly, the method comprising. The method includes receiving anomaly event data, the anomaly event data representing an indication of an anomaly occurring or having occurred within a region or zone of the water utility network, the anomaly event data being associated with meter data produced by one or more of the meters. The method also includes performing a plurality of tests on the anomaly event data each designed to statistically determine a likely geographical location of the anomaly within the region or zone, the performance of each test producing a result.

Abstract: Aspects of the present disclosure relate generally to indoor localization, for example, where GPS or other localization signals are unavailable. More specifically, aspects relate to using a particle filter in conjunction with a gyroscope and/or accelerometer to identify a current location of a client device with respect to a map. In one example, the map may be based upon a map including a series of walls representing locations where a user may not walk within a building. In another example, the map may be based upon a series of rails representing locations where a user may walk within a building.

Abstract: An apparatus for predicting an operating time in a power device includes an operating characteristic parameter estimating unit, and only the operation historical data in the vicinity of a current operation environmental condition is extracted and input by a vicinity operation historical data extracting unit.

Abstract: A spectrometer for identifying a mixture is provided. The spectrometer includes a detector configured to generate a signal based on an interaction of light with a sample of the mixture, and a memory device having a library and a correlation matrix stored therein, wherein the library includes a plurality of spectra, each spectrum associated with a respective compound, and wherein the correlation matrix includes a correlation between each possible pair of spectra in the library. The spectrometer further includes a processor coupled to the memory device and configured to determine a spectrum of the mixture based on the signal generated by the detector, calculate a correlation vector that includes a correlation between the mixture spectrum and each spectrum in the library, and identify the mixture based on the correlation matrix and the correlation vector.

Abstract: A user obtains an individual's body temperature data and transmits the data to a medical monitor (e.g., a medical device) for display. Additional data includes a timestamp and location of the body temperature data. Once the data is transmitted, a user may view the medical monitor for a temperature reading. For example, a doctor may take a patient's temperature and the temperature reading is displayed on a medical monitor. The body temperature data of each patient is detected using a preferred temperature detector, such as a temporal artery thermometer using an arterial heat balance approach. After collecting an individual's body temperature data, the body temperature data can be transferred to a processor. By sending body temperature data for many individuals for a geographic region, the processor can identify a pattern (e.g., a pandemic) in the body temperature data.

Abstract: A method of detecting a potential security threat on a computing system is provided. The method comprises embedding time series data relating to the computing system within a reconstructed phase space and partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a first matrix having a plurality of cells. The first matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region. The first matrix is generated using a first set of the time series data that is associated with a normal operating condition of the computing system in which the computing system is not under attack from a security threat.

Abstract: One embodiment of the present invention provides a system for evaluating contact priority for a user. During operation, the system collects statistical information associated with interactions between the user and the user's contacts across multiple communication channels, and evaluates the contact priority for a contact based at least on the collected statistical information.

Abstract: The present specification discloses psyllid attractants, compositions comprising such attractants, lures, traps and other devices using such attractants, methods and uses to attract, capture and/or kill psyllids using such attractants, compositions and/or lures, traps and/or other devices, and methods and uses for monitoring a psyllid population using such attractants, compositions and/or lures, traps and/or other devices.

Abstract: Example methods and apparatus to predict process quality in a process control system are disclosed. A disclosed example method includes receiving process control information relating to a process at a first time including a first value associated with a first measured variable and a second value associated with a second measured variable, determining if a variation based on the received process control information associated with the process exceeds a threshold, if the variation exceeds the threshold, calculating a first contribution value based on a contribution of the first measured variable to the variation and a second contribution value based on a contribution of the second measured variable to the variation, determining at least one corrective action based on the first contribution value, the second contribution value, the first value, or the second value, and calculating a predicted process quality based on the at least one corrective action at a time after the first time.

Abstract: A method for central monitoring of a research trial includes the steps of creating and storing a clinical database consisting of datasets generated during the research trial, preprocessing the database to remove variables that are unsuitable for analysis, extracting metadata from the database to identify types of the variables, storing the preprocessed datasets and corresponding metadata in a statistical database, executing statistical tests on a data collection center by data collection center basis to detect abnormalities and patterns present in datasets, creating and storing a matrix containing p-values based upon the executed statistical tests, identifying any outlying data collection centers by summarizing the p-values, determining if any of the executed statistical tests are faulty and removing such faulty executed statistical tests from the matrix to create a filtered matrix, and computing an overall p-value score.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for detecting abnormal behavior. Detecting abnormal behavior can include receiving a mean at a previous time interval, a sum of squares at the previous time interval, and a first sample of a metric at a current time interval from a system and adjusting a first weight and a second weight at the current time interval to the first sample and a system change report. Detecting abnormal behavior can also include calculating a mean and a standard deviation of the metric at the current time interval by assigning the first sample the adjusted first weight and by assigning the mean and the sum of squares at a previous time interval the adjusted second weight and detecting abnormal behavior by comparing the first sample to an outlier value based on the mean and the standard deviation at the previous time interval.

Abstract: A method of obtaining a linear curve fitting conversion equation for use with a non-linear measurement system is introduced. The linear curve fitting conversion equation converts a subject value entered into the non-linear measurement system into a measured value for simulating a linear curve. The method includes substituting a known preset input value, an output value generated by entering the preset input value into the non-linear measurement system, and n operator settings falling within the measurement range of the non-linear measurement system into a (n-1)th order polynomial to form simultaneous equations including a number n of polynomials and thereby obtain a fitting parameter for creating the linear curve fitting conversion equation for use with the non-linear measurement system, thereby dispensing with the hassles of processing a large amount of data required for creating a conversion rule.

Abstract: A computer implemented method, apparatus, and computer program product for sampling call stack information. A set of methods and a set of criteria are received. Responsive to detecting an event associated with a method in the set of methods, a determination is made as to whether the method has met a set of criteria comprising at least one of a time based metric and a hardware performance monitor counter metric. A call stack is retrieved for the method if the method has met the set of criteria. The retrieved call stack is saved in a tree.

Abstract: An estimating polynomial generating device, comprising: an analysis data storing portion for storing analysis data comprising combinations of input parameter data and output parameter data; a function surface storing portion for storing an equation for a function surface that limits the relationship between an input parameter and an output parameter after homothetic conversion; a homothetic conversion equation storing portion for storing homothetic conversion equations for performing homothetic conversion on the input parameter and the output parameter; a homothetic conversion parameter searching portion for searching for and establishing factors for the homothetic conversion equations using the analysis data, the equation for the function surface, and the homothetic conversion equations; and an estimating polynomial calculating portion for calculating an estimating polynomial, for estimating an output parameter value from an input parameter value, by combining the equation for the function surface and the ho

Abstract: In a method for estimating a metric related to a service demand, a framework to be used in evaluating a services ecosystem or a services infrastructure is defined. The framework comprises a matrix of elements, in which the elements comprise a plurality of services and a plurality of services components that are usable in delivering at least one of the plurality of services. In addition, dependencies between the matrix elements are determined using initialization data and the metric related to the service demand is estimated through use of the framework.

Abstract: Methods and apparatuses for improving computation efficiency for diffraction signals in optical metrology are described. The method includes simulating a set of diffraction orders for a structure. A set of diffraction efficiencies is determined for the set of diffraction orders. A rational approximation or a continued-fraction approximation is applied to the set of diffraction efficiencies to obtain a rationally approximated set of diffraction efficiencies or a continued-fraction approximated set of diffraction efficiencies, respectively. A simulated spectrum is then provided.

Abstract: A performance management system and method for generating a plurality of forecasts for one or more electronic devices is presented. The forecasts are generated from stored performance data and analyzed to determine which devices are likely to experience performance degradation within a predetermined period of time. A single forecast is extracted for further analysis such that computer modeling may be performed upon the performance data to enable the user to predict when device performance will begin to degrade. In one embodiment, graphical displays are created for those devices forecasted to perform at an undesirable level such that suspect devices may be subjected to further analysis.

Abstract: Method for emitting measuring values on a display (27) for a display device. According to the method, the measuring values that are recorded by a measuring device (24) on at least one test object (11) are forwarded to a signal processing device; a measuring value is detected at each measuring point (14-21) on the test object (11), or a plurality of measuring values are detected at each measuring point (14-21) on the test object (11); the average value is determined at each measuring point (14-21), from the number of detected measuring values; the average values of the respective measuring points (14-21) on at least one test object (11) are sorted according to the rank thereof in an evaluation device including an electronic calculator; and the average values are represented on the display (27) together with an upper and a lower boundary line.

Abstract: A method, controller, and system for monitoring a manufacturing process are described. Measured values of multiple variables, including dependent variables, manipulated variables, or both, are received. Future values of the manipulated variables, future values of the dependent variables, or both, are predicted. A multivariate analysis is performed on a combination of (1) the measured values of the variables and (2) the future values of the manipulated variables, the future values of the dependent variables, or both, to generate multivariate statistics.

Abstract: In order to provide a method for measuring a filling capacity of a raw material such as leaf tobacco without carrying out a complicated operation, the present invention includes the steps of (i) irradiating a near infrared ray on a sample of a raw material so as to measure a transmission absorption spectrum or a diffuse reflectance spectrum of the sample; and (ii) calculating an estimated filling capacity value by use of the transmission absorption spectrum or the diffuse reflectance spectrum thus measured and on the basis of a calibration curve which has been prepared in advance.

Abstract: Wellbore data samples related to a subsurface volume of interest are weighted based on wellbore orientation and/or stratal orientation. Declustering weights are determined that account for differences in sampling density caused by wellbore and/or stratal structure orientation. The declustering weights may be implemented to weight samples of parameters taken within wellbores, and/or to update or adjust other weights determined according to other schemes.

Abstract: An apparatus, method and program for estimating the mass of a vehicle uses periodically detected tire rotation speed information of the vehicle wheels, calculated tire rotation acceleration information, calculated driving force of the vehicle, and estimated mass of the vehicle as a regression coefficient when the rotation acceleration information and the driving force information are subjected to linear regression. With regard to an error in calculated driving force information, a ratio is calculated between the dispersion of the error obtained one time before and an error at the current moment, and an update adjustment parameter is calculated by adding a stabilization parameter to thus obtained ratio. The calculated update adjustment parameter is used to calculate a Kalman gain so that the mass is sequentially estimated so as to reduce an update width of the regression coefficient when the error ratio is higher.

Abstract: The method for obtaining information relating to the integrity of an article (2) as assessed from an exposure of said article to physical or environmental conditions during a time span comprises the steps of b) subsequently obtaining a first to an N-th data point, each of said N data points representative of a value related to said physical or environmental conditions obtained by subsequently sensing said physical or environmental conditions a first to an N-th time; c) discarding a portion of said N data points; d) creating a data set (DS) comprising said N data points with the exception of said discarded data points.

Abstract: Diverting condition storage unit 15 stores diverting conditions describing conditions for hardware configurations and software configurations. Monitoring data storage unit 13 stores monitoring data on the hardware configurations and the software configurations on monitored devices. Monitoring setting information storage unit stores monitoring setting information on the monitored devices. By referencing monitoring data and diverting conditions, first setting-diverting unit judges if monitoring setting information set in a monitored device may be diverted as monitoring setting information on another monitored device and outputs the result to a management terminal. The system administrator diverts the monitoring setting information among multiple monitored devices based on judgment result.

Abstract: A method and system for increasing optical instrument calibration and prediction accuracy within and across different optical instrument platforms can include two main submethods or routines. The first routine can include one for correcting differences among optical instruments of different model types regardless of the manufacturer and correcting differences among optical instruments of the same model type. The second main routine or sub-method can include one for analyzing new samples of a product over time and maintaining prediction accuracy as compared to a reference method over time. The first routine can include a “TRANS” procedure, a “MIN” procedure, and checkcell tests. The second main routine provides techniques on how a product database can be cleaned, condensed, and expanded automatically as it is used by one or more different optical instruments.

Abstract: Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing an underlying trend. Other example embodiments are disclosed herein.

Abstract: As part of a sampling process, entities of a population are selected, where the population includes plural types of entities. Selecting the entities includes iteratively indicating in each of successive steps of the sampling process a corresponding type of the plural types of entities to select.

Abstract: Discussed herein are methods and apparatuses to produce profiles for scientific measurement equipment, and to use those profiles for various purposes in using, designing, calibrating and managing such equipment, such as to carry out critical laboratory testing. In this approach, either the analyzers' quality control data or serial patient data are numerically reduced to generate graphical precision profiles. Precision profiles for serial patient data show increased (im)precision vs time implying increased patient variation over increased time. Precision profiles for quality control data, according to one implementation, can demonstrate three different zones: 1) increased imprecision for quality control determinations that are close spaced (implies the discovery of an error condition and rapid reanalysis, 2) the usual imprecision and 3) a zone of increased imprecision which indicates either a need for a quality control analysis or re-calibration.

Abstract: A comprehensive analysis procedure for analyzing and comparing multiple sets of data to detect hidden discriminatory data patterns. The inventive procedure identifies a best subset of markers for optimal discrimination between two or more sets of data. A point-wise test on two or more sets of data is performed to calculate test statistic values and to generate a statgram, a two- or higher-dimensional map of the test statistic values along the range of data. A threshold is then determined for isolating critical regions of the statgram at each significance level to provide candidate markers. A subset of markers from the candidate markers is then selected to discriminate among the sets of data. The two or more sets of data are classified using the subset of markers.

Abstract: ID likelihoods and position likelihoods of an object are detected by a first observation device, and position likelihoods of the object and tracking states of the object are detected by a second observation device; thus, the object detected by the second observation device and the object ID are associated with each other by an association unit, and based upon information from the second observation device and the association unit, the ID likelihoods of the object detected by the second observation device are determined by a second object ID likelihood determination unit so that the object position is estimated by an object position estimation unit based upon the ID likelihoods and position likelihoods.

Abstract: In a clinical laboratory of a hospital, an enormous amount of effort has been required to maintain the quality of an analyzer, standard solution and control samples. An object of the present invention is to provide a control method for controlling a clinical laboratory with reduced cost, and a control apparatus using the same. In order to control data of an analyzer, standard solution, and a control sample, a support center is connected to each analyzer located in each hospital through a network line. Various kinds of analysis parameters and the result of measurements are exchanged so as to provide each clinical laboratory with a control situation in real time.

Abstract: A test results screening tool allows capture of test item and test results data and provides a reviewer with a robust set of tools for entering screening criteria and display of test results by both test subject and test center. The tool includes parametrically sets flags for unwanted testing behaviors including test item harvesting, test subjects with pre-knowledge of the test subject matter, and proxy test takers for some a portion of a test.

Abstract: Through the methods of this invention, prognostics tools are provided to more efficiently and more accurately predict when a component product may fail. In a first embodiment a method is described whereby a number of environmental factors are monitored, the provided sensors obtaining raw data, variations in said raw data measured, the parameters of interest extracted and binned according to predetermined criteria, with the raw data thereafter discarded. In a second embodiment of the invention, the same sensor readings are recorded along with the performance characteristics for the component/product and compared to estimated performance for the product. The performance drift is then observed, whereby in monitoring said drift, trends may be determined and time or cycles to failure predicted.

Abstract: A diagnostic system for use in a bank note processing machine, and a method of use. The system includes a plurality of operating condition sensors positioned to monitor areas of interest within the machine. A CPU automatically reads the sensors to obtain an initial baseline reading against which operating data is compared. Decisions are made based upon this comparison.

Abstract: A hose fault detection system includes a hose assembly including a hose having first and second conductive layers. The hose assembly has an electrical characteristic. A fault detector is in electrical communication with the first and second conductive layers. The fault detector includes an indicator operatively connected to the hose assembly. A method for monitoring the structural integrity of a hose assembly includes providing a fault detection system having a hose assembly including a hose having a first conductive layer and a second conductive layer. The hose assembly has an electrical characteristic. The electrical characteristic of the hose assembly is compared to a threshold value. A visual indicator in operative communication with the hose assembly is illuminated when the electrical characteristic goes beyond the threshold value.

Abstract: A mass spectrometer and a method of spectrometry are disclosed wherein liquid chromatography mass spectral data are probabilistically clustered on the basis of mass to charge ratio and retention time.

Abstract: Techniques for a maximum entropy approach to assigning probabilities, including those used in multiple realization history matching systems and methods, are disclosed. For example, in one embodiment, a method includes obtaining one or more available sample values Yi associated with a reservoir; computing a maximum entropy assignment ? of one or more discrete probabilities Pi(Yi) associated with each of the one or more available sample values Yi, where each discrete probability Pi(Yi) represents a probability that one or more variables Y will take a set of particular values Yi; and performing at least one determination regarding the reservoir using the maximum entropy assignment ?, including approximating a continuous probability distribution P(Y) using a sum of probability distributions Pi(Yi)+/??.

Abstract: A non-intrusive method of determining, in respect of a group of appliances that are arranged to consume a utility, an indication of a background level of consumption of the utility by the group of appliances, the method comprising: receiving a series of utility values representative of a total level of consumption of the utility by the group of appliances; determining, based on the received utility values, an indication of a background level of consumption of the utility; and outputting the determined indication of the background level of consumption of the utility.

Abstract: Described herein is the method and apparatus for determining frequency of an oscillator coupled with one or more analog devices, and for determining within-die or across-die variations in an analog property associated with the one or more analog devices, the determining based on the oscillator frequency. The analog property includes output signal swing, bandwidth, offset, gain, and delay line linearity and range. The one or more analog devices include input-output (I/O) buffer, analog amplifier, and delay line. The method further comprises updating a simulation model file based on the determining of the within-die and/or across-die variations of the analog property.

Abstract: An emission management system is implemented via a host server that is accessible to a large number of clients (organizations) using a website. Based on data input by a client relating to actual usage of resources, the client's past CO2e emission over time is calculated by the host server and displayed to the client on the website in the form of a wedge chart, with emissions along the y-axis and time along the x-axis. The server software also extrapolates the past emissions to display baseline predicted future emissions, assuming no reduction strategies are implemented. The client also inputs an emission target level and proposes one or more strategies for reducing the baseline level to achieve the target level. The server converts each strategy to a CO2e emission reduction and layers the different reductions between the baseline level and the target so the client can graphically see the effect of each strategy on achieving the target.

Abstract: A system and method analyze reliability of an electronic device using a computing device. The method generates a component coding rule for components of the electronic device, establishes a BOM table for the electronic device according to the component coding rule, and generates component codes for the components according to the component data. The method further classifies the components into different component types according to the component codes, and calculates a failure rate for each of the components according to a parameter equation, obtains mean time between failures (MTBF) of the electronic device by calculating a sum of the failure rates of all the components. In addition, the method generates a reliability analysis report of the electronic device according to the MTBF of the electronic device. and outputs the reliability analysis report to an output device.

Abstract: A data management and archive method and apparatus, for implementation in an automated system to monitor and manage status, performance and configuration data for networked storage components. Analysis and cross-correlation of data related to the storage components can be done individually, collectively and/or comparatively. A collection manager component of a workload analyzer is implemented to start and stop data collection. The collection manager includes a command and control module that coordinates requests of data from at least one collection agent configured on at least one host connected to the storage component(s). The collection manager manages collection of data and effects file transfer of collected data according to a user specified policy, and maintains status of the data collected. The user specified policy allows the user to specify data collection “shifts” (i.e. periodicity).

Abstract: The present invention provides a method to implement prognostics and health management (PHM) in individual electronic products (such as parts, components, boards, assemblies, devices, systems, and systems of systems). The PHM algorithm is performed during product screening tests, diagnostic processes, or after the manufacturer process. Certain performance, signal values and parameters, environmental and operational loads, or their correlations are recorded, extracted, and stored in electronic memory for that particular product. The stored data represents a the healthy baseline reference of that particular product at the initial point of its life. In one embodiment, where the healthy baseline is stored in the product, it can be updated according to different usage conditions. In one embodiment with the data is stored within the product, the PHM analysis can be performed in the field under conditions of use.

Abstract: The method includes the steps of: storing a plurality of parameter sets; selecting one of the plurality of parameter sets as a test parameter set to be evaluated; measuring performance only for one batch job out of N (N is a positive integer) batch jobs constituting full set performance measurement for the test parameter set; and calculating an evaluation value on the basis of a difference between an integral of measurement values obtained until the performance has been measured for r (r is a positive integer smaller than N) batch jobs by using the test parameter set; and an integral of mean measurement values of the performance for the r batch jobs by using an optimal parameter set which is one of the parameter sets used in the performance evaluation having been performed; determining whether or not the evaluation value has deviated from a predetermined evaluation continuing range; and terminating the evaluation of the test parameter set on condition that it is determined that the evaluation value has deviat