Abstract: An optimization device includes an output data acquisitor that acquires output data having a second number of dimensions obtained by performing an experiment or a simulation, an evaluation value calculator that calculates and outputs an evaluation value of the output data, a features extractor that extracts an output data features having a third number of dimensions different from the second number of dimensions, an input parameter converter that generates a conversion parameter related to the output data features predicted from the input parameters, a next input parameter determinator that determines a next input parameter to be acquired by the output data acquisitor, based on the conversion parameter and the corresponding evaluation value, and an iterative determinator that repeats processes of the output data acquisitor, the input/output data storage, the evaluation value calculator, the features extractor, the input parameter converter, and the next input parameter determinator.

Abstract: An optimization apparatus includes an output data acquirer to acquire output data expressing a result of experiment or simulation based input parameters, input/output data storage to store the input parameters and the output data corresponding to the input parameters, as a pair, an evaluation value calculator to calculate evaluation values of the output data, an input parameter converter to generate conversion parameters of a dimension number changed from the dimension number of the input parameters, a next-input parameter decider to decide next input parameters based on pairs of the conversion parameters and the evaluation values corresponding to the conversion parameters, and a repetition determiner to repeat operations of the output data acquirer, the input/output data storage, the evaluation value calculator, the input parameter converter, and the next-input parameter decider, until satisfying a predetermined condition.

Abstract: One embodiment of the invention provides an apparatus preventing degradation of accuracy of a search result while reducing a total required period of a series of processing in a case where input parameters for a series of processing including a plurality of processing with different required periods are searched for. The apparatus includes a calculator and a generator. The calculator calculates evaluation values for output parameters of a series of processing including first processing and second processing. The first processing uses a first input parameter. The second processing use a second input parameter. The generator regenerates first and second input parameters corresponding to one time of a series of processing based on first and second input parameters corresponding to selected output parameters. The number of input parameters for shorter one of the first and the second processing is larger than the number of input parameters for the other.

Abstract: An information processing apparatus has an output data acquisition unit configured to acquire an output value obtained by performing an experiment or simulation based on an input parameter of a predetermined number of dimensions, an evaluation value calculation unit configured to calculate and output an evaluation value of the output value, an outlier processing unit configured to output a converted evaluation value including a specified value obtained by converting the evaluation value that does not satisfy a predetermined criterion, a next input parameter determination unit configured to determine a next input parameter based on the input parameter and the converted evaluation value corresponding to the input parameter, and an iteration determination unit configured to repeat processing of the output data acquisition unit, the evaluation value calculation unit, the outlier processing unit, and the next input parameter determination unit until a predetermined condition is satisfied.

Abstract: An information processing apparatus according to an embodiment of the present invention includes an estimator and a recommender. The estimator is configured to, based on a data set including a set value set for a parameter and an evaluation value or an evaluation value variation where the set value is set for the parameter, estimate a relationship between the set value and the evaluation value variation. The evaluation value variation indicates a variation of respective evaluation values where a plurality of values included within a neighborhood range that is based on the set value are set for the parameter. The recommender is configured to, based on the estimated relationship, determine a recommended set value.

Abstract: An optimization device includes an output data acquisitor that acquires output data having a second number of dimensions obtained by performing an experiment or a simulation, an evaluation value calculator that calculates and outputs an evaluation value of the output data, a features extractor that extracts an output data features having a third number of dimensions different from the second number of dimensions, an input parameter converter that generates a conversion parameter related to the output data features predicted from the input parameters, a next input parameter determinator that determines a next input parameter to be acquired by the output data acquisitor, based on the conversion parameter and the corresponding evaluation value, and an iterative determinator that repeats processes of the output data acquisitor, the input/output data storage, the evaluation value calculator, the features extractor, the input parameter converter, and the next input parameter determinator.

Abstract: An optimization apparatus includes an output data acquirer to acquire output data expressing a result of experiment or simulation based input parameters, input/output data storage to store the input parameters and the output data corresponding to the input parameters, as a pair, an evaluation value calculator to calculate evaluation values of the output data, an input parameter converter to generate conversion parameters of a dimension number changed from the dimension number of the input parameters, a next-input parameter decider to decide next input parameters based on pairs of the conversion parameters and the evaluation values corresponding to the conversion parameters, and a repetition determiner to repeat operations of the output data acquirer, the input/output data storage, the evaluation value calculator, the input parameter converter, and the next-input parameter decider, until satisfying a predetermined condition.

Abstract: When a command for starting up a specific versatile application of a versatile application section is made during an execution of a native application included in a basic processing section, a judgment of the following condition for combining is satisfied: whether or not the specific versatile application is in a paused state, and the specific versatile application has made a request for starting up the native application, is made (step S51). When a judgment that the condition for combining is satisfied is made, an execution of the specific versatile application is restarted (step S56). As a result, it is possible to have a prompt coordination between the basic processing section and the versatile application, while respecting a feeling of presence which is established in the mind of a user.

Abstract: A storage medium readable by a computer, stores a program of instructions executable by the computer to perform a function for executing an image processing on an image defined by vector data containing a plurality of lines having different line widths, the function including calculating the line widths of the plurality of lines so as to maintain the number of types of line widths of the plurality of lines and a thinner-or-thicker relation among the line widths of the plurality of lines before executing the image processing, and setting the line widths calculated by the calculating step as line widths of the plurality of lines after the image processing.

Abstract: When a command for starting up a specific versatile application of a versatile application section is made during an execution of a native application included in a basic processing section, a judgment of the following condition for combining is satisfied: whether or not the specific versatile application is in a paused state, and the specific versatile application has made a request for starting up the native application, is made (step S51). When a judgment that the condition for combining is satisfied is made, an execution of the specific versatile application is restarted (step S56). As a result, it is possible to have a prompt coordination between the basic processing section and the versatile application, while respecting a feeling of presence which is established in the mind of a user.

Abstract: A storage medium readable by a computer, stores a program of instructions executable by the computer to perform a function for executing an image processing on an image defined by vector data containing a plurality of lines having different line widths, the function including calculating the line widths of the plurality of lines so as to maintain the number of types of line widths of the plurality of lines and a thinner-or-thicker relation among the line widths of the plurality of lines before executing the image processing, and setting the line widths calculated by the calculating step as line widths of the plurality of lines after the image processing.

Abstract: A drive apparatus for elevators and the like utilizes a traction-type speed change gear to transmit power with little noise and vibrations from an electric drive motor to the drive sheave of an elevator. An abnormality detection device is provided to detect when slippage occurs in the speed change gear, and a control device activated by the abnormality detection device is provided to bring the elevator to a safe emergency stop when such slippage occurs.