Abstract: A plasma processing apparatus includes: a plasma processing chamber; a substrate support disposed in the plasma processing chamber and including a lower electrode; a source RF generator coupled to the plasma processing chamber and configured to generate a source RF signal including high states and low states in alternate manner; and a bias DC generator coupled to the lower electrode and configured to generate a bias DC signal including ON states and OFF states in alternate manner. Each ON state includes a plurality of cycles, each cycle including a first sequence of first pulses and a second sequence of second pulses, each first pulse having a first voltage level, and each second pulse having a second voltage level different from the first voltage level.

Abstract: A plasma processing apparatus includes a plasma processing chamber, a substrate support, a source RF generator, and a bias RF generator. The substrate support is disposed within the plasma processing chamber. The source RF generator is configured to generate a source RF signal. The source RF signal includes source cycles, and each of the source cycles includes a source ON state and a source OFF state. The source ON state has at least two source power levels. The bias RF generator is coupled to the substrate support and configured to generate a bias RF signal. The bias RF signal includes bias cycles corresponding to the source cycles, respectively. Each of the bias cycles includes a bias ON state and a bias OFF state. The bias ON state has at least two bias power levels.

Abstract: Provided is an image reading device including: a document pressing portion that is attached to an apparatus body and configured to open or close to the apparatus body to press a document in between; and an opening force applying unit that applies a drive force of a drive source to the document pressing portion as an opening force to open the document pressing portion temporarily in a period of opening the document pressing portion.

Abstract: An information processing apparatus according to the present technology includes a housing, a display section, a pressure-sensitive sensor, and a control section. The housing has a front surface and a sub-surface including an operation area and is capable of being held by a user. The display section is arranged on the front surface. The pressure-sensitive sensor detects a pressure value with respect to the sub-surface. The control section identifies a status that the operation area is operated by the user and a status that the operation area is held by the user on the basis of the pressure value, and executes predetermined processing on the basis of an operation by the user with respect to the operation area in a case where the status is determined that the operation area is operated.

Abstract: An electronic apparatus includes: an exterior body; a pressure-sensitive sensor having a sensing face; and a support supporting the pressure-sensitive sensor such that inner faces the exterior body is opposed to the sensing face.

Abstract: An electronic apparatus includes: an exterior body; a pressure-sensitive sensor having a first surface and a second surface; a support body supporting the pressure-sensitive sensor such that the exterior body faces the first surface; and a first deformation layer disposed at least either between the first surface and the exterior body or between the second surface and the support body. The pressure-sensitive sensor includes a capacitive sensor electrode unit including a sensing unit, a reference electrode layer, and a second deformation layer disposed between the reference electrode layer and the sensor electrode unit. The first deformation layer and the second deformation layer satisfy a predetermined relationship.

Abstract: A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process including: dividing a Betti number sequence into a plurality of Betti number sequences, the Betti number sequence being included in a result of a persistent homology process performed on time series data, the plurality of Betti number sequences corresponding to different dimension of the Betti number sequence; and performing an analysis on each of the plurality of Betti number sequences.

Abstract: A sensor includes: a sensor layer including a capacitive sensing section; and a metal layer facing a surface on one side of the sensor layer, in which the metal layer has projected portions provided at peripheral edges of regions facing the sensing sections.

Abstract: Electronic equipment includes a pressed body as either a housing or a display, a pressure-sensitive sensor, a support configured to support the pressure-sensitive sensor such that the pressure-sensitive sensor is opposed to the pressed body, and a filler provided between the pressed body and the pressure-sensitive sensor. The filler has a thickness that changes with distance between the pressed body and the pressure-sensitive sensor.

Abstract: A detection device generates plural attractors based on brainwave data. Subsequently, the detection device calculates a Betti number by subjecting the attractors to persistent homology transform. The detection device determines an onset of encephalopathy based on a first order component of a Betti sequence calculated based on the Betti number.

Abstract: A detection device adds, with regard to each of a plurality of sets of time-series data including a plurality of items, a time-shift term to at least any of the plurality of items included in each of the plurality of sets of time-series data. The detection device generates a plurality of attractors from the plurality of sets of time-series data to which the time-shift term has been added. The detection device generates a plurality of Betti sequences from each of the plurality of attractors by executing a persistent homology transformation on each of the plurality of attractors, each of the plurality of Betti sequences indicating a correspondence relationship between a Betti number and a scale value has been used for the persistent homology transformation. The detection device detects a state change in the plurality of sets of time-series data based on a time change in the plurality of Betti sequences.

Abstract: A rule presentation method by a computer, includes specifying a plurality of rules that specify one of examples according to the number of positive examples and the number of negative examples for one or more combinations of attributes, based on training data; acquiring first data that has a combination of attributes different from the combination of attributes included in the training data and is not associated with a label that designates the positive example or the negative example; selecting a rule related to the combination of attributes from among the plurality of specified rules; generating second data in which a label different from examples specified by the selected rule is associated with the first data; specifying the number of samples of the first data in which the label of the positive example or the negative example specified by the selected rule changes; and determining an order of rules.

Abstract: A sensor includes a capacitive sensor electrode layer, a reference electrode layer, and an elastic layer provided between the sensor electrode layer and the reference electrode layer. A thickness of the elastic layer is 100 ?m or less, and a weight per unit area of the elastic layer is less than 3 mg/cm2.

Abstract: A learning method executed by a computer, the learning method includes inputting a first data being a data set of transfer source and a second data being one of data sets of transfer destination to an encoder to generate first distributions of feature values of the first data and second distributions of feature values of the second data; selecting one or more feature values from among the feature values so that, for each of the one or more feature values, a first distribution of the feature value of the first data is similar to a second distribution of the feature value of the second data; inputting the one or more feature values to a classifier to calculate prediction labels of the first data; and learning parameters of the encoder and the classifier such that the prediction labels approach correct answer labels of the first data.

Abstract: [Object] To provide a technology that prevents processing from being executed against a user's intention when the user holds a housing. [Solving Means] An information processing apparatus according to the present technology includes a housing, a display section, a pressure-sensitive sensor, and a control section. The housing has a front surface and a sub-surface including an operation area and is capable of being held by a user. The display section is arranged on the front surface. The pressure-sensitive sensor detects a pressure value with respect to the sub-surface. The control section identifies a status that the operation area is operated by the user and a status that the operation area is held by the user on the basis of the pressure value, and executes predetermined processing on the basis of an operation by the user with respect to the operation area in a case where the status is determined that the operation area is operated.

Abstract: An electronic apparatus includes: an exterior body; a pressure-sensitive sensor having a first surface and a second surface; a support body supporting the pressure-sensitive sensor such that the exterior body faces the first surface; and a first deformation layer disposed at least either between the first surface and the exterior body or between the second surface and the support body. The pressure-sensitive sensor includes a capacitive sensor electrode unit including a sensing unit, a reference electrode layer, and a second deformation layer disposed between the reference electrode layer and the sensor electrode unit. The first deformation layer and the second deformation layer satisfy a predetermined relationship.

Abstract: A detection device adds, with regard to each of a plurality of sets of time-series data including a plurality of items, a time-shift term to at least any of the plurality of items included in each of the plurality of sets of time-series data. The detection device generates a plurality of attractors from the plurality of sets of time-series data to which the time-shift term has been added. The detection device generates a plurality of Betti sequences from each of the plurality of attractors by executing a persistent homology transformation on each of the plurality of attractors, each of the plurality of Betti sequences indicating a correspondence relationship between a Betti number and a scale value has been used for the persistent homology transformation. The detection device detects a state change in the plurality of sets of time-series data based on a time change in the plurality of Betti sequences.

Abstract: An extraction apparatus generates a plurality of Betti series based on Betti numbers obtained by performing a persistent homology transform on a plurality of pseudo-attractors generated from a plurality of pieces of time-series data. The extraction apparatus generates a plurality of transformed Betti series in which a region with a larger radius at the time of generating the Betti numbers is weighted more than a region with a smaller radius from the plurality of Betti series. The extraction apparatus extracts abnormality candidates from the plurality of pieces of time-series data based on the Betti number in the plurality of transformed Betti series.

Abstract: A non-transitory computer-readable recording medium stores therein a state classifying program that causes a computer to execute a process including: generating an attractor containing a plurality of points that correspond to a plurality of sets of time series data, coordinate values of each of the plurality of points being values corresponding to the sets of time series data; generating Betti number sequence data by applying a persistent homology process on the attractor; and classifying a state that is represented by the plurality of sets of time series data based on the Betti number sequence data.

Abstract: A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process including: dividing a Betti number sequence into a plurality of Betti number sequences, the Betti number sequence being included in a result of a persistent homology process performed on time series data, the plurality of Betti number sequences corresponding to different dimension of the Betti number sequence; and performing an analysis on each of the plurality of Betti number sequences.