Abstract: According to an embodiment, a resolver rotor includes: a resolver rotor core; and a resolver rotor core holder that constrains the resolver rotor core to a rotor shaft in a circumferential direction and an axial direction. The resolver rotor core holder includes: an annular flat plate portion; a first constraining portion that holds a relative position of the resolver rotor core holder to the rotor shaft, and holds an angle of the resolver rotor core in the circumferential direction relative to the rotor shaft; a second constraining portion that holds a relative position of the resolver rotor core holder to the rotor shaft; and a third constraining portion that holds a relative position of the resolver rotor core in the axial direction to the rotor shaft. The resolver rotor core includes a radially inside recessed portion for engagement with the first constraining portion.

Abstract: A multilayer inductor component includes an element body, an internal conductor, and an external electrode. The internal conductor is disposed in the element body. The external electrode is disposed on a surface of the element body and electrically connected to the internal conductor. The external electrode includes a sintered metal layer and a plating layer. The sintered metal layer is disposed on the surface of the element body. The plating layer covers the sintered metal layer. The sintered metal layer includes a thick portion and thin portions. The thick portion covers the surface of the element body. A plurality of glass particles is dispersed in the thick portion. The thin portions cover glass particles exposed on a surface of the thick portion among the plurality of glass particles and being in contact with the plating layer.

Abstract: The acoustic diagnosis device extracts a second feature amount of an acoustic signal in which a delay of an acoustic signal collected by the microphone is corrected, the delay being generated from a relative distance between the circuit breaker and the microphone, during diagnosis of the circuit breaker, calculates a similarity between the second feature amount of the acoustic signal during the diagnosis and the first feature amount in the plurality of event models for each time, estimates the time at which the similarity becomes highest, as an occurrence timing of each event, and diagnoses the circuit breaker from a plurality of estimated occurrence timings.

Abstract: The electronic component includes an element body, an internal conductor, a cover layer, and a conductor layer. The internal conductor is disposed in the element body. The cover layer is disposed on an outer surface of the element body and has an electrical insulation property. The conductor layer is disposed on the cover layer and is electrically connected to the internal conductor. The conductor layer includes a portion. The portion protrudes toward the element body through the cover layer and is physically and electrically connected to the internal conductor. The conductor layer is electrically connected to the internal conductor.

Abstract: A multilayer coil component includes an element body, a plurality of coil conductors, a first resistive layer, and a second resistive layer. The plurality of coil conductors are disposed in the element body and electrically connected to each other. The plurality of coil conductors include a first coil conductor and a second coil conductor adjacent to each other. The first resistive layer and the second resistive layer oppose each other between the first coil conductor and the second coil conductor. The first resistive layer is in contact with the first coil conductor.

Abstract: An anomaly detection apparatus includes a device identification database that stores device identification information for identifying a specific device for each type of a device, a hierarchical conditional vector generation unit that generates a hierarchical conditional vector based on the device identification information, an extraction unit that extracts a target device feature amount vector indicating a feature amount of an acoustic signal acquired from a target device by analyzing the acoustic signal, a hierarchical condition adversarial neural network that outputs background noise level information indicating a background noise level of a surrounding environment of the target device and true/false determination information indicating true/false of the target device feature amount vector by analyzing the hierarchical conditional vector and the target device feature amount vector, and an anomaly determination unit that determines whether an anomaly exists in the target device feature amount vector.

Abstract: A multilayer coil component includes an element body having a multilayer structure including a first element body portion formed of a ferrite element body material, and a second element body portion laminated on the first element body portion and formed of a ferrite element body material having a composition different from the ferrite element body material forming the first element body portion, a multilayer coil having an axis parallel to a lamination direction of the element body, and a stress alleviation portion provided in an inner region of the multilayer coil when viewed from the lamination direction. In the multilayer coil component, the stress alleviation portion is provided in the inner region of the multilayer coil in which a stress tends to be concentrated to alleviate the stress in the inner region of the multilayer coil, and thereby occurrence of cracking in the element body can be suppressed.

Abstract: An inkjet ink containing scale-like metal particles is provided. An average major axis of the scale-like metal particles is equal to or less than 400 nm (preferably 50 to 200 nm). Furthermore, the inkjet ink contains 2 to 10 mass % of the scale-like metal particles. The scale-like metal particles preferably include indium and/or chromium. The inkjet ink may be a radical polymerization type or a cationic polymerization type.

Abstract: A multilayer coil component includes an element body having a multilayer structure including a first element body portion formed of a ferrite element body material, and a second element body portion laminated on the first element body portion and formed of a ferrite element body material having a composition different from the ferrite element body material forming the first element body portion, a multilayer coil having an axis parallel to a lamination direction of the element body, and a stress alleviation portion provided in an inner region of the multilayer coil when viewed from the lamination direction. In the multilayer coil component, the stress alleviation portion is provided in the inner region of the multilayer coil in which a stress tends to be concentrated to alleviate the stress in the inner region of the multilayer coil, and thereby occurrence of cracking in the element body can be suppressed.

Abstract: An electronic component includes an element body and an external electrode disposed on the element body. The external electrode includes an underlying metal layer, a conductive resin layer, and a plating layer. The underlying metal layer is disposed on the element body. The conductive resin layer contains a plurality of conductive fillers and is disposed on the underlying metal layer. The plating layer is disposed on the conductive resin layer. A part of the plurality of conductive fillers is sintered with the underlying metal layer and is coupled to the underlying metal layer. Another part of the plurality of conductive fillers is exposed to a surface of the conductive resin layer and is in contact with the plating layer.

Abstract: Provided are an abnormality detection system and an abnormality detection method capable of performing more stable abnormality detection. An abnormality detection system that detects an abnormality of the target machine by a computer includes a communication unit configured to acquire first data from a first sensor attached to the target machine and second data from a second sensor attached to the target machine, an arithmetic unit, and a memory unit. The arithmetic unit includes an encoding unit trained to generate latent expressions including a predetermined latent expression that estimates the second data on the basis of the first data, a decoding unit trained to restore the first data from the latent expressions, and an abnormality detection unit configured to detect the abnormality of the target machine on the basis of a restoration error between the first data and the first data restored by the decoding unit.

Abstract: A resin product including an antireflection surface includes a plurality of first concave portions, a plurality of second concave portions, and a component surface. The first concave portions have opening widths equal to or larger than 1 ?m and equal to or smaller than 300 ?m. The second concave portions are formed on each of the plurality of first concave portions and have opening widths equal to or larger than 10 nm and equal to or smaller than 1 ?m. The component surface is configured to surround each of the plurality of first concave portions.

Abstract: A multilayer coil component 1 includes an element body 2 having a plurality of stacked insulator layers 6 and having an outer surface provided with recessed portions 7 and 8, a coil 9 disposed in the element body 2, and terminal electrodes 4 and 5 connected to the coil 9 and disposed in the recessed portions 7 and 8. The recessed portions 7 and 8 are defined by a bottom surface and a side surface extending in a depth direction of the recessed portions 7 and 8 over the outer surface and the bottom surface, the terminal electrodes 4 and 5 have a first surface facing the bottom surface and a second surface facing the side surface, and a connection region A where a compound of elements constituting the element body 2 and a metal component are mixed is exposed to the second surface.

Abstract: A ferrite composition comprises a main component and a subcomponent. The main component includes 32.0 to 46.4 mol % of iron oxide in terms of Fe2O3, 4.4 to 14.0 mol % of copper oxide in terms of CuO, and 8.4 to 56.9 mol % of zinc oxide in terms of ZnO. The subcomponent includes 0.53 to 11.00 parts by weight of a silicon compound in terms of SiO2, 0.1 to 12.8 parts by weight of a tin compound in terms of SnO2, and 0.5 to 7.0 parts by weight of a bismuth compound in terms of Bi2O3, with respect to 100 parts by weight of the main component.

Abstract: An abnormality degree calculation system includes a concept classification assignment unit that assigns a predetermined concept classification based on an identification number of a target device, a feature value vector extraction unit that extracts a feature value vector based on sensor data of a sensor corresponding to the target device, a likelihood calculation unit that calculates a likelihood of the feature value vector by using a machine learning model obtained from a learning database, a loss calculation unit that calculates a loss using a loss function as a function of the likelihood, a model update unit that updates the model by using the loss and a model, a re-learning necessity determination unit that determines whether re-learning is necessary from the calculated likelihood when an abnormality of the target device is detected, and an abnormality degree calculation unit that calculates an abnormality degree when the re-learning is unnecessary.

Abstract: The hyperparameter management device of the present invention includes a compression network to dimensionally compress data to produce a low dimensional representation, an estimation network to estimate a density distribution of the low dimensional representation and a hyperparameter calculation unit to calculate hyperparameters for the compression network and the estimation network, wherein the hyperparameter calculation unit calculates, based on a set of subject data and a set of uniform data, a gap statistic using a gap statistic calculation technique, and calculates, using a curve fitting technique, an estimation network hyperparameter based on at least the gap statistic, calculates a ratio of variance of principal components of the set of subject data, and calculates, using a curve fitting technique, a compression network hyperparameter based on at least the ratio of variance, and sets the estimation network hyperparameter in the estimation network and sets the compression network hyperparameter in the c

Abstract: An anomaly detection apparatus includes a device identification database that stores device identification information for identifying a specific device for each type of a device, a hierarchical conditional vector generation unit that generates a hierarchical conditional vector based on the device identification information, an extraction unit that extracts a target device feature amount vector indicating a feature amount of an acoustic signal acquired from a target device by analyzing the acoustic signal, a hierarchical condition adversarial neural network that outputs background noise level information indicating a background noise level of a surrounding environment of the target device and true/false determination information indicating true/false of the target device feature amount vector by analyzing the hierarchical conditional vector and the target device feature amount vector, and an anomaly determination unit that determines whether an anomaly exists in the target device feature amount vector.

Abstract: A multilayer coil electronic component having improved inductance L, Q, and strength, and which has an element in which a coil conductor and a magnetic element body are stacked. The magnetic element body includes soft magnetic metal particles and a resin. The resin fills a space between the soft magnetic metal particles. Each of soft magnetic metal particles has a soft magnetic metal particle core and an oxide film covering the soft magnetic metal particle core. A layer of the oxide film contacting the soft magnetic metal particle core is made of an oxide including Si.

Abstract: A connector includes a first housing, a second housing and a fitting assuring member. The second housing includes a first locking protrusion portion having a first slope. The fitting assuring member includes a first assuring locking portion that gets over the first locking protrusion portion to be thereby locked to the first locking protrusion portion when the first housing and the second housing are fitted to each other. The first assuring locking portion begins to slide on the first slope before completion of the fitting, and stays on the first slope until the completion of the fitting.

Abstract: A monitoring system includes a plurality of sensor terminals installed for a target to be measured, a base station wirelessly communicating with the sensor terminals, and a calculator communicable with the base station. The sensor terminal includes a sensor element which acquires vibration information of a target to be measured, an arithmetic unit which performs an arithmetic operation for data including the vibration information of the sensor element, and a wireless communication unit. The arithmetic unit performs a reduction process for reducing an amount of data of the sensor element. The wireless communication unit transmits data processed by the arithmetic unit to the base station. After the transmitted data is received, the base station transmits it to the calculator. The calculator includes a signal processing unit. The signal processing unit complements the reduction-processed data to acquire vibration information, and averages the vibration information for a predetermined period of time.