Abstract: Anomalous sensors are detected using an apparatus including a processor and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to: obtain a plurality of healthy sensor data, wherein each of the healthy sensor data includes a plurality of sensed values of a corresponding sensor among a plurality of sensors in normal operation, generate a healthy data distribution of at least two sensors among the plurality of sensors based on the plurality of healthy sensor data, and generate a function of a status probability distribution of the plurality of sensors with respect to time under the condition of sensor data with respect to time based on the healthy data distribution.

Abstract: A computer-implemented method for building an object index used for retrieving an object matching a given query is disclosed. In the method, the computer system initializes a set of clusters, each of which represents at least one base object of a collection. The computer system also enumerates one or more additional clusters by combining multiple clusters from among the set. Each additional cluster represents at least one combinatorial object that has two or more base objects of the collection. The computer system further selects a new set of new clusters by clustering the set of the clusters and the one or more additional clusters, in which each new cluster represents at least one base or combinatorial object. Then, the computer system builds an object index based on the centers of the new clusters such that the object index covers the combinatorial object as a target of retrieval.

Abstract: Methods and apparatus are provided for estimating anomalous sensors. The apparatus includes a target data acquiring to acquire a plurality of sets of target data serving as an examination target, each set of target data being output by a plurality of sensors. The apparatus further includes a calculating section calculate, for each of a plurality of sensor groups such that each sensor group includes at least two sensors among the plurality of sensors, a degree of difference of a target data distribution of the plurality of sets of target data relative to a reference data distribution of output from the sensor group. The apparatus additionally includes an estimating section to estimate one or more sensors among the plurality of sensors to be a source of outlierness, based on a calculation result of the calculating section.

Abstract: A computer implemented method for training a neural network to capture a structural feature specific to a set of chemical compounds is disclosed. In the method, the computer system reads an expression describing a structure of the chemical compound for each chemical compound in the set and enumerates one or more combinations of a position and a type of a structural element appearing in the expression for each chemical compound in the set. The computer system also generates training data based on the one or more enumerated combinations for each chemical compound in the set. The training data includes one or more values with a length, each of which indicates whether or not a corresponding type of the structural element appears at a corresponding position for each combination. Furthermore, the computer system trains the neural network based on the training data for the set of the chemical compounds.

Abstract: Optimized learning settings of neural networks are efficiently determined by an apparatus including a processor and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to train a first neural network with a learning setting; extract tentative weight data from the first neural network with the learning setting; calculate an evaluation value of the first neural network with the learning setting; and generate a predictive model for predicting an evaluation value of a second neural network with a new setting based on tentative weight data of the second neural network by using a relationship between the tentative weight data of the first neural network and the evaluation value of the first neural network.

Abstract: Anomalous sensors are detected using an apparatus including a processor and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to: obtain a plurality of healthy sensor data, wherein each of the healthy sensor data includes a plurality of sensed values of a corresponding sensor among a plurality of sensors in normal operation, generate a healthy data distribution of at least two sensors among the plurality of sensors based on the plurality of healthy sensor data, and generate a function of a status probability distribution of the plurality of sensors with respect to time under the condition of sensor data with respect to time based on the healthy data distribution.

Abstract: Anomalous sensors are detected using an apparatus including a processor and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to obtain a plurality of healthy sensor data, wherein each of the healthy sensor data includes a plurality of sensed values of a corresponding sensor among a plurality of sensors in normal operation, generate a healthy data distribution of at least two sensors among the plurality of sensors based on the plurality of healthy sensor data, and generate a function of a parameter probability distribution of the plurality of sensors under a condition of sensor data of the plurality of sensors based on the healthy data distribution, each parameter indicating whether the corresponding sensor is healthy or anomalous.

Abstract: A location information designating device includes a location confirming image acquiring section, a display control section, an operating unit that designates a target location in the location confirming image displayed in the display; and a communicating unit. The location confirming image acquiring section acquires a location confirming image by which location information is confirmable. The display control section displays the acquired location confirming image in a display. The operating unit designates a target location in the location confirming image displayed in the display. The communicating unit transmits, to an external information device, information of the designated target location and the acquired location confirming image together with a request for an action to be performed by a user of the external information device.

Abstract: An analysis device which analyzes a system that inputs input data including a plurality of input parameters and outputs output data, including an acquisition unit that acquires learning data including a plurality of sets of the input data and the output data, and a learning processing unit that learns, based on the acquired learning data, the amount of difference of output data corresponding to a difference between input parameters of two pieces of input data, an analysis method using the analysis device, and a program used in the analysis device are provided.

Abstract: An analysis device which analyzes a system that inputs input data including a plurality of input parameters and outputs output data, including an acquisition unit that acquires learning data including a plurality of sets of the input data and the output data, and a learning processing unit that learns, based on the acquired learning data, the amount of difference of output data corresponding to a difference between input parameters of two pieces of input data, an analysis method using the analysis device, and a program used in the analysis device are provided.

Abstract: A lens barrel attached to an imaging device, including a focus lens unit that is movable in an optical axis direction; an actuator that moves the focus lens unit along the optical axis direction; a drive control section that controls drive of the actuator; and a setting section that is capable of setting a movement range of the focus lens unit to be one of a first range and a second range that differ from each other with respect to at least one of one end and another end, each range defining the range in which the focus lens unit is allowed to move. Even when the movement range of the focus lens unit is set by the setting section to be one of the first range and the second range, the drive control section removes the setting of the movement range when instructions are received from the imaging device.

Abstract: Provided is an estimation apparatus including a target data acquiring section operable to acquire target data serving as an examination target, the target data output by a plurality of sensors, a calculating section operable to calculate, for each of a plurality of sensor groups that each include two sensors among the plurality of sensors, a degree of outlierness of the target data relative to a reference data distribution of output from the sensor group, and an estimating section operable to estimate a sensor among the plurality of sensors to be a source of outlierness, based on a calculation result of the calculating section.

Abstract: Embodiments of the present invention specify a group of sensors detecting normal operation and a group of sensors detecting abnormal operation from time-series data on the sensors without using threshold values that are based on the experience of users. One aspect of an embodiment is a detecting device for detecting changes in the output of a plurality of sensors, in which the detecting device includes: a first output acquiring unit for acquiring a first relevance matrix; a second output acquiring unit for acquiring a second relevance matrix; a change calculating unit for calculating a change matrix representing the degree of change between the first relevance matrix and the second relevance matrix; and a specifying unit for specifying a group of sensors showing a degree of change greater than the others in the change matrix. Other aspects of the present invention include a detecting method and a program.

Abstract: An embossed air filter filtration medium has at least one porous film and a plurality of air-permeable support materials supporting the at least one porous film. The least one porous film includes a fibril-formable polytetrafluoroethylene, a non-fibril-forming and non-hot-melt-processable component, and a non-fibril-forming and hot-melt-processable component having a melting point below 320° C. Surfaces of both sides of the air filter filtration medium are formed by two air-permeable support materials of the air-permeable support materials. The air filter filtration medium has a plurality of embossed projections. The embossed air filter filtration medium may be part of a filter pack, which may be part of an air filter unit. The embossed air filter filtration medium is manufactured by laminating air-permeable support materials on the at least one porous film and embossing the air filter filtration medium to form the projections.

Abstract: A location information designating device includes a location confirming image acquiring section, a display control section, an operating unit that designates a target location in the location confirming image displayed in the display; and a communicating unit. The location confirming image acquiring section acquires a location confirming image by which location information is confirmable. The display control section displays the acquired location confirming image in a display. The operating unit designates a target location in the location confirming image displayed in the display. The communicating unit transmits, to an external information device, information of the designated target location and the acquired location confirming image together with a request for an action to be performed by a user of the external information device.

Abstract: To identify a scenario that will bear a good simulation result from among a plurality of scenarios used in an agent-based simulation with a reduced amount of computation, there is provided an information processing apparatus comprising a counting part configured to count the number of agents in each of a plurality of states at a middle of a simulation that involves a plurality of agents, and a generation part configured to generate characteristic data used for prediction of a result of the simulation based on the number of agents in each of the plurality of states.

Abstract: A filter medium for an air filter collecting dust in an air flow has a principal collection layer including a porous polytetrafluoroethylene film. A surface of the filter medium is provided with a plurality of embossed projections. Preferably, a processed filter medium maintains a zigzag shape by pleating an unprocessed filter medium to create mountain folds and valley folds. Preferably, an air filter unit includes such a processed filter medium and a frame body holding the processed filter medium.

Abstract: A computer performs searching in order to optimize a plurality of input parameters. Each of the input parameters is input to a time-series trial process. The computer receives a plurality of input parameters and performs a trial process on each of the plurality of input parameters. The computer then calculates an evaluation value of the trial process performed on each of the plurality of input parameters and calculates a degree of similarity among a plurality of trial processes based on a feature value. Each of the feature values is extracted from the trial process performed on a corresponding one of the plurality of input parameters. The computer updates the plurality of input parameters based on the evaluation value of the trial process calculated for each of the plurality of input parameters and the degree of similarity among the plurality of trial processes.

Abstract: An analysis device which analyzes a system that inputs input data including a plurality of input parameters and outputs output data, including an acquisition unit that acquires learning data including a plurality of sets of the input data and the output data, and a learning processing unit that learns, based on the acquired learning data, the amount of difference of output data corresponding to a difference between input parameters of two pieces of input data, an analysis method using the analysis device, and a program used in the analysis device are provided.

Abstract: A display apparatus includes a display unit that displays plural images corresponding to plural image data, respectively, the plural image data being associated with plural pieces of position information which are different from one another; a display position converter that converts the position information associated with each image into display position information that reflects a positional relationship relative to the position information of another image on a display screen of the display unit; and a display controller that causes the display unit to display the plural images based upon the display position information of each image converted by the display position converter.