1. A computer-implemented dynamic data filtering method, said method comprising the steps of:
calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein the calibrating includes utilizing initial asset operating data values to define an initial scope of operation of an asset;
acquiring additional asset operating data values for an additional operation of the asset; and
filtering the acquired additional asset operating data values using the at least one data filter utilizing the at least one statistically based test to define the at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet the at least one predefined criterion of good data quality;
segregating the selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality; and
storing the segregated selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
2. The computer-implemented method of claim 1 wherein filtering the acquired additional asset operating data values utilizing the at least one data filter includes utilizing a probability estimation method using sequential discounting expectation maximization for obtaining a score for at least one of the acquired additional asset operating data values wherein the obtained scores define the at least one redefined criterion of data quality.
3. The computer-implemented method of claim 1 wherein filtering the acquired additional asset operating data values utilizing the at least one data filter includes utilizing an adaptive sequential probability hypotheses test method to define the at least one predefined criterion of data quality.
4. The computer-implemented method of claim 1 further comprising a step of iteratively repeating the acquiring, filtering, segregating, and storing steps as a function of a user-specified period or on user demand.
5. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a dynamic data filtering method, said method comprising:
calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein the calibrating includes utilizing initial asset operating data values to define an initial scope of operation of an asset;
acquiring additional asset operating data values for an additional operation of the asset; and
filtering the acquired additional asset operating data values using the at least one data filter utilizing the at least one statistically based test to define the at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet the at least one predefined criterion of good data quality;
segregating the selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality; and
storing the segregated selectively chosen asset operating data values that meet the at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
6. The non-transitory computer-readable medium of claim 5 wherein filtering the acquired additional asset operating data values utilizing the at least one data filter includes utilizing a probability estimation method using sequential discounting expectation maximization for obtaining a score for at least one of the acquired additional asset operating data values wherein the obtained scores define the at least one predefined criterion of data quality.
7. The non-transitory computer-readable medium of claim 5 wherein filtering the acquired additional asset operating data values utilizing the at least one data filter includes utilizing an adaptive sequential probability hypotheses test method to define the at least one predefined criterion of data quality.
8. The non-transitory computer-readable medium of claim 5 further comprising a step of iteratively repeating the acquiring, filtering, segregating, and storing steps as a function of a user-specified period or on user demand.
9. A dynamic data filtering system, said system comprising:
means for calibrating at least one data filter having at least one statistically based test for defining at least one predefined criterion of good data quality wherein said calibrating means comprises means for utilizing initial asset operating data values to define an initial scope of operation of an asset;
means for acquiring additional asset operating data values for an additional operation of the asset; and
means for filtering said acquired additional asset operating data values using the at least one data filter wherein said filtering means comprises means for utilizing said at least one statistically based test to define said at least one predefined criterion of good data quality for selectively choosing asset operating data values that meet said at least one predefined criterion of good data quality;
means for segregating said selectively chosen asset operating data values that meet said at least one predefined criterion of good data quality; and
means for storing said segregated selectively chosen asset operating data values that meet said at least one predefined criterion of good data quality for subsequent use in adjusting the learned scope of at least one previously trained model.
10. The system of claim 9 wherein said means for filtering said acquired additional asset operating data values utilizing said at least one data filter includes means for utilizing at least one statistically based test to define said at least one predefined criterion of good data quality.
11. The system of claim 9 wherein said means for filtering said acquired additional asset operating data values utilizing the at least one data filter includes means for utilizing a probability estimation method using sequential discounting expectation maximization for obtaining a score for at least one of said acquired additional asset operating data values wherein said obtained scores define said at least one predefined criterion of data quality.
12. The system of claim 9 wherein said means for filtering said acquired additional asset operating data values utilizing the at least one data filter includes means for utilizing an adaptive sequential probability hypotheses test method to define said at least one predefined criterion of data quality.
13. A computer-implemented dynamic data filtering method, said method comprising the steps of:
calibrating at least one data filter having at least one statistically based test utilizing initial asset operating data values wherein the initial asset operating data values are used for defining an initial scope of operation of an asset;
acquiring additional asset operating data values for an additional operation of the asset;
using the at least one data filter having the at least one statistically based test defining at least one predefined criterion of good data quality for assigning a measure of data quality to at least one of the acquired additional asset operating data values;
segregating at least one of the additional asset operating data values based on the measure of data quality assigned to the at least one additional asset operating data values; and
storing the segregated at least one additional asset operating data values for defining an additional scope of operation of the asset.
14. The computer-implemented dynamic data filtering method of claim 13 wherein the step of using the at least one data filter having the at least one statistically based test defining at least one predefined criterion of good data quality for assigning a measure of data quality to at least one of the acquired additional asset operating data values includes the steps of:
comparing at least one of the acquired additional asset operating data values to at least one value computed based on at least one empirical model; and
assigning a measure of data quality to at least one of the acquired additional asset operating data values based on the comparing step.
15. The computer-implemented dynamic data filtering method of claim 13 further including the step of utilizing the stored segregated at least one additional asset operating data values for recalibrating at least one data filter.
16. The computer-implemented dynamic data filtering method of claim 13 further including the step of utilizing the stored segregated at least one additional asset operating data values for recalibrating at least one empirical model.
17. The computer-implemented dynamic data filtering method of claim 13 further including the step of utilizing the stored segregated at least one additional asset operating data values for recalibrating at least one fault detector.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A game device for executing a game in which a predetermined game event occurs at a game event occurring place set in a game space in a case where a game event occurring time arrives, comprising:
operation target control means for moving an operation target of a user in the game space, based on an operation by the user;
first determination means for determining whether or not the operation target of the user is included in a target region set based on a position of the game event occurring place;
second determination means for determining whether or not a time of determination that the operation target of the user is included in the target region is before arrival of the game event occurring timing; and
inducing processing execution means for executing inducing processing for inducing the user to keep the operation target of the user staying in the target region until the arrival of the game event occurring time, in a case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time.
2. The game device according to claim 1, wherein
the second determination means includes means for determining whether or not a remaining period of time after the time of determination that the operation target of the user is included in the target region before the arrival of the game event occurring time is larger than a threshold, and
the inducing processing execution means executes the inducing processing, in a case where it is determined that the remaining period of time after the time of determination that the operation target of the user is included in the target region before the arrival of the game event occurring time is larger than the threshold.
3. The game device according to claim 1, wherein
the inducing processing execution means includes means for starting outputting of sound, in the case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time, and
the inducing processing execution means further includes at least one of
means for restricting outputting of the sound in a case where the operation target of the user leaves the target region to be outside thereof after start of outputting the sound, and
means for restricting outputting of the sound after the start of outputting the sound, based on a distance between the operation target of the user and a reference position of the target region.
4. The game device according to claim 1, wherein
the inducing processing execution means includes means for starting outputting of information on the game, in the case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time, and
the inducing processing execution means further includes at least one of
means for restricting outputting of the information in a case where the operation target of the user leaves the target region to be outside thereof after start of outputting the information, and
means for restricting outputting of the information after the start of outputting the information, based on a distance between the operation target of the user and a reference position of the target region.
5. The game device according to claim 1, wherein
the inducing processing execution means includes means for starting outputting of a message, in the case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time, and
the inducing processing execution means further includes at least one of
means for restricting outputting of the message in a case where the operation target of the user leaves the target region to be outside thereof after start of outputting the message, and
means for restricting outputting of the message after the start of outputting the message, based on a distance between the operation target of the user and a reference position of the target region.
6. The game device according to claim 1, wherein the inducing processing execution means includes means for placing a plurality of game items available for the operation target of the user to obtain in the target region, in the case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time.
7. The game device according to claim 1, wherein the inducing processing execution means changes content of the inducing processing, based on a remaining period of time after the time of determination that the operation target of the user is included in the target region before the arrival of the game event occurring time.
8. The game device according to claim 1, wherein
the first determination means determines whether or not the operation target of the user arrives at the target region,
the second determination means determines whether or not a time of the arrival of the operation target of the user at the target region is before the arrival of the game event occurring time, and
the inducing processing execution means executes the inducing processing in a case where it is determined that the time of the arrival of the operation target of the user at the target region is before the arrival of the game event occurring time.
9. A game system for executing a game in which a predetermined game event occurs at a game event occurring place set in a game space in a case where a game event occurring time arrives, comprising:
operation target control means for moving an operation target of a user in the game space, based on an operation by the user;
first determination means for determining whether or not the operation target of the user is included in a target region set based on a position of the game event occurring place;
second determination means for determining whether or not a time of determination that the operation target of the user is included in the target region is before arrival of the game event occurring time; and
inducing processing execution means for executing inducing processing for inducing the user to keep the operation target of the user staying in the target region until the arrival of the game event occurring time, in a case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time.
10. A game control method for a game in which a predetermined game event occurs at a game event occurring place set in a game space in a case where it is determined that a game event occurring time arrives, comprising:
an operation target control step of moving an operation target of a user in the game space, based on an operation by the user;
a first determination step of determining whether or not the operation target of the user is included in a target region set based on a position of the game event occurring place;
a second determination step of determining whether or not a time of determination that the operation target of the user is included in the target region is before arrival of the game event occurring time; and
an inducing processing execution step of executing inducing processing for inducing the user to keep the operation target of the user staying in the target region until the arrival of the game event occurring time, in a case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time.
11. A non-transitory computer readable information storage medium storing a program for causing a computer to function as a game device for executing a game in which a predetermined game event occurs at a game event occurring place set in a game space in a case where a game event occurring time arrives, the program for causing the computer to function as:
operation target control means for moving an operation target of a user in the game space, based on an operation by the user;
first determination means for determining whether or not the operation target of the user is included in a target region set based on a position of the game event occurring place;
second determination means for determining whether or not a time of determination that the operation target of the user is included in the target region is before arrival of the game event occurring time; and
inducing processing execution means for executing inducing processing for inducing the user to keep the operation target of the user staying in the target region until the arrival of the game event occurring timing, in a case where it is determined that the time of determination that the operation target of the user is included in the target region is before the arrival of the game event occurring time.