Abstract: The present invention reduces tact time for a pick-and-place operation by an actuator. In a housing of the actuator, an air passage being a passage of air when sucking air from a hollow part of a shaft is provided. Furthermore, a sucking valve that sucks air from the hollow part of the shaft through the air passage and a suction detecting sensor to detect that a workpiece is suctioned onto a tip of the shaft are provided in the air passage. Then, in the housing, the air passage is disposed at a position on a side opposite to a linear motion motor that moves the shaft in an axial direction of the shaft, via the shaft.

Abstract: Probability density ratios may be estimated by a method including obtaining a first sample set including a plurality of first samples and a second sample set including a plurality of second samples, wherein each of the first samples and the second samples is represented as a vector including a plurality of parameters, constructing at least one decision tree estimating a ratio of probability density p(x)/q(x) based on the first sample set and the second sample set, wherein p(x) is a probability density of the first samples corresponding to an input vector x and q(x) is a probability density of the second samples corresponding to the input vector x.

Abstract: Provided is a sensing device to be applied to an actuator including a shaft that is movable in an axial direction, the shaft including a hollow part formed on at least a tip side of the shaft such that an interior of the shaft is hollow, the actuator being configured to generate a negative pressure in the hollow part to suction a workpiece to a tip of the shaft, thereby picking up the workpiece. The sensing device includes a flow sensor provided in a middle of an air passage to detect a flow rate of air flowing through the air passage, the air passage being a passage through which air sucked out from the hollow part flows when the negative pressure is applied to the hollow part, and a pressure sensor provided in a middle of the air passage, to detect a pressure in the air passage.

Abstract: A frame-shaped reinforcement member is bonded and fixed to a rear surface of a cover panel, such as a glass plate. The reinforcement member has a rigidity higher than that of the cover panel. Since the reinforcement member is provided, the flatness of flat portions of the cover panel can be maintained at a high level. The reinforcement member is bonded and fixed to a rear support member after display cell elements are bonded to the flat portions and backlights are fixed to the reinforcement member.

Abstract: There are provided an air filter medium, a filter pack, and an air filter unit in which the decrease in collection efficiency can be suppressed. The air filter medium includes a fluororesin. The PAO permeability ratio (final permeability/initial permeability) is less than 3.0. The initial permeability is a permeability of polyalphaolefin particles when air containing the polyalphaolefin particles having a number median diameter of 0.25 ?m is passed through the air filter medium at a flow velocity of 5.3 cm/s. The final permeability is a permeability of polyalphaolefin particles when air containing the polyalphaolefin particles having a number median diameter of 0.25 ?m is continuously passed through the air filter medium at a flow velocity of 5.3 cm/s and the pressure loss is increased by 250 Pa.

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: Probability density ratios may be estimated by a method including obtaining a first sample set including a plurality of first samples and a second sample set including a plurality of second samples, wherein each of the first samples and the second samples is represented as a vector including a plurality of parameters, constructing at least one decision tree estimating a ratio of probability density p(x)/q(x) based on the first sample set and the second sample set, wherein p(x) is a probability density of the first samples corresponding to an input vector x and q(x) is a probability density of the second samples corresponding to the input vector x.

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: The present invention more suitably adjusts a pressure at a tip of a shaft in an actuator configured to generate a negative pressure at the tip of the shaft, to pick up a workpiece with the shaft. A negative pressure-generating structure to be applied to the actuator includes an insertion hole into which the shaft is inserted in a state where a space is formed between the shaft and a wall surface of the insertion hole, an inner space formed inside the negative pressure-generating structure, which communicates with a hollow part of the shaft through a communication hole formed in the shaft, and an air passage connected to the inner space, the air passage being a passage of air when air in the inner space is sucked to generate the negative pressure at the tip of the shaft.

Abstract: Methods and apparatus are provided for estimating anomalous sensors. The apparatus includes a target data acquiring section 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 to 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: Provided is an actuator in which a load applied to a shaft and a workpiece is controlled. The actuator includes a support part that rotatably supports the shaft, a linear motion motor that moves the shaft in a direction of a central axis, a connecting member that is at least a part of a member connecting a mover of the linear motion motor and the support part, a strain gauge that detects strain of the connecting member, and a control device that controls the linear motion motor, based on the strain detected by the strain gauge.

Abstract: A device for controlling a storage battery system is provided. The device includes: a state information calculator configured to calculate state information on each of batteries of a plurality of storage battery modules; a conversion efficiency characteristics calculator configured to calculate a power conversion efficiency of each of DC/DC converters of the plurality of storage battery modules; and a storage battery module selector configured to select one or a plurality of storage battery modules to be used while the storage battery system is charged or discharged and to determine a charge power or a discharge power of each of the selected storage battery modules, based on the state information of the batteries and the power conversion efficiencies of the DC/DC converters.

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: 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: A frame-shaped reinforcement member is bonded and fixed to a rear surface of a cover panel, such as a glass plate. The reinforcement member has a rigidity higher than that of the cover panel. Since the reinforcement member is provided, the flatness of flat portions of the cover panel can be maintained at a high level. The reinforcement member is bonded and fixed to a rear support member after display cell elements are bonded to the flat portions and backlights are fixed to the reinforcement member.

Abstract: An cell observation system, comprising an image sensor capable of movement in a horizontal direction, and a processor, wherein the processor infers position where a colony will be generated or grown from position information or shape information of a plurality of cells within an image, based on the image of the cells that has been acquired by the image sensor, and controls position of the image sensor so as to perform imaging at the inferred position.

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: 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 deteriorated capacity calculator calculates a deteriorated capacity that is a capacity reduced from the capacity of a cell in an initial state. A gas amount calculator calculates an amount of gas contained in a container for the cell, from the deteriorated capacity. A pressure calculator calculates a pressure inside the container for the cell from the amount of the gas, a volume of a void space of the container for the cell and the temperature of the cell. A pressure monitor outputs a control signal for stopping charging or discharging of the battery when the pressure inside the container for at least any one cell is equal to or greater than a threshold pressure.

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.