Abstract: A motor comprises: a body; a busbar coupled to the body; and a heat transfer member disposed on the body, wherein the body includes a first open area for exposing the busbar in the axial direction, and a second open area, the second open area includes a first unit open area and a second unit open area, and the heat transfer member is in contact with the busbar in the first open area and is disposed between the first unit open area and the second unit open area.

Abstract: A motor comprises: a base; a first bus bar coupled to the base and comprising a first body and a first coupling portion extending from the first body; a second bus bar disposed outside the first bus bar and comprising a second body and a second coupling portion extending from the second body; and a third bus bar disposed outside the second bus bar and comprising a third body and a third coupling portion extending from the third body, wherein the first coupling portion does not overlap the second body and the third body in the axial direction, and the second coupling portion does not overlap the third body in the axial direction.

Abstract: The electronic control device includes: a housing; a first plate disposed in the housing; a second plate disposed in the housing and having an inner surface facing the inner surface of the first plate; a first control module disposed in the housing; and a second control module disposed in the housing, wherein the first control module includes: a first printed circuit board having an inner surface coupled to one side of the first plate and one side of the second plate; a first power supply substrate disposed on an outer surface of the second plate; and a first EMI filter disposed between the first plate and the second plate, an inner surface of which is opposite to an inner surface of the first printed circuit board, and wherein the second control module includes: a second printed circuit board having an inner surface coupled to the other side surface of the first plate and the other side surface of the second plate; a second power supply substrate disposed on an outer surface of the first plate; and a second

Abstract: A controller including a first housing; a first cover disposed on an opening of the first housing; filter units disposed above the first cover; a power module unit disposed below the first cover; and a substrate disposed below the power module unit; wherein the power module unit includes a bracket; and a power module disposed between the bracket and the first cover, and wherein the power module includes a power module body; a plurality of first pins arranged to protrude downward from one side of the power module body; and five terminal pins arranged to protrude downward from the other side of the power module body, wherein an end portion of the first pin is coupled to the substrate.

Abstract: An embodiment relates to a controller and a motor assembly comprising same, the controller comprising: a substrate; a controller housing disposed on the substrate; a CM filter unit disposed between the substrate and the controller housing; a DM filter unit disposed under the CM filter unit; a controller cover disposed between the substrate and the DM filter unit; a power module unit disposed between the substrate and the controller cover; and a connector unit coupled to the substrate, wherein the power module unit comprises a power module and a mold unit surrounding the power module. Accordingly, the heat generating problem of the power module unit can be resolved.

Abstract: An embodiment relates to a controller and a motor assembly comprising same, the controller comprising: a substrate; a controller housing disposed on the substrate; a CM filter unit disposed between the substrate and the controller housing; a DM filter unit disposed under the CM filter unit; a controller cover disposed between the substrate and the DM filter unit; a power module unit disposed between the substrate and the controller cover; and a connector unit coupled to the substrate, wherein the power module unit comprises a power module and a mold unit surrounding the power module. Accordingly, the heat generating problem of the power module unit can be resolved.

Abstract: A method of verifying integrity of an Internet of Things (IoT) system including a hub device and a plurality of end-node devices includes: determining, by the hub device, a root device among the plurality of end-node devices; receiving, by the hub device, from the root device at least one root message authentication code generated based on a result of verifying integrity of a sub-tree of the root device, wherein the sub-tree of the root device comprises a subset of the plurality of end-node devices subordinate to the root device; and verifying, by the hub device, the at least one root message authentication code.

Abstract: According to one embodiment, an apparatus for training a neural network acoustic model includes a calculating unit, a clustering unit, and a sharing unit. The calculating unit calculates, based on training data including a training speech and a labeled phoneme state, scores of phoneme states different from the labeled phoneme state. The clustering unit clusters a phoneme state whose score is larger than a predetermined threshold and the labeled phoneme state. The sharing unit shares probability of the labeled phoneme state by the clustered phoneme states. The training unit trains the neural network acoustic model based on the training speech and the clustered phoneme states.

Abstract: In a method of performing secure communication between at least two devices, a first security session is formed between a first device and a second device while the first device operates in a secure mode. The first security session is formed by performing a handshake operation between the first device and the second device. Session information and a master key are stored into a secure element included in the first device. The session information and the master key are generated by forming the first security session. A second security session is formed between the first device and the second device while the first device operates in a normal mode. The second security session is formed without the handshake operation and by loading the session information stored in the secure element. Encoded data is exchanged by the first device and the second device through the second security session based on the master key stored in the secure element.

Abstract: According to one embodiment, an apparatus trains a neural network language model. The apparatus includes a calculating unit and a training unit. The calculating unit calculates probabilities of n-gram entries based on a training corpus. The training unit trains the neural network language model based on the n-gram entries and the probabilities of the n-gram entries.

Abstract: According to one embodiment, an apparatus trains a neural network auxiliary model used to calculate a normalization factor of a neural network language model. The apparatus includes a calculating unit and a training unit. The calculating unit calculates a vector of at least one hidden layer and a normalization factor by using the neural network language model and a training corpus. The training unit trains the neural network auxiliary model by using the vector of the at least one hidden layer and the normalization factor as an input and an output respectively.

Abstract: At least some example embodiments provide a fingerprint sensor, a fingerprint sensor package, and a fingerprint sensing system using light sources of a display panel. The fingerprint sensor includes an image sensor including a plurality of sensor pixels, the sensor pixels configured to sense light reflected by a fingerprint and generate image information corresponding to the fingerprint and a pinhole mask defining a plurality of pinholes, wherein each of the pinholes forms a focus for transmitting the light reflected by the fingerprint to the image sensor, wherein light is emitted from a plurality of organic light-emitting diodes (OLEDs) and is reflected by the fingerprint.

Abstract: According to one embodiment, an apparatus for training a neural network acoustic model includes a calculating unit, a clustering unit, and a sharing unit. The calculating unit calculates, based on training data including a training speech and a labeled phoneme state, scores of phoneme states different from the labeled phoneme state. The clustering unit clusters a phoneme state whose score is larger than a predetermined threshold and the labeled phoneme state. he sharing unit shares probability of the labeled phoneme state by the clustered phoneme states. The training unit trains the neural network acoustic model based on the training speech and the clustered phoneme states.

Abstract: According to one embodiment, an apparatus for optimizing a speech recognition result comprising: a receiving unit configured to receive a speech recognition result; a calculating unit configured to calculate a pronunciation similarity between a segment of the speech recognition result and a key word in a key word list; and a replacing unit configured to replace the segment with the key word in a case that the pronunciation similarity is higher than a first threshold.

Abstract: An integrated circuit includes an operational circuit and a test circuit for measuring a leakage current associated with all or part of the operational circuit. The leakage current measurement circuit may include a mirror circuit configured to mirror leakage current to a current-to-voltage converter and an analog-to-digital converter configured to convert the analog voltage representative of the leakage current developed by the current-to-voltage converter to a digital value.

Abstract: According to one embodiment, an apparatus for improving a neural network language model of a speech recognition system includes a word classifying unit, a language model training unit and a vector incorporating unit. The word classifying unit classifies words in a lexicon of the speech recognition system. The language model training unit trains a class-based language model based on the classified result. The vector incorporating unit incorporates an output vector of the class-based language model into a position index vector of the neural network language model and use the incorporated vector as an input vector of the neural network language model.

Abstract: According to one embodiment, an apparatus for improving a language model of a speech recognition system includes an extracting unit, a classifying unit, and a setting unit. The extracting unit extracts user words from a user document provided by a user. The classifying unit classifies the user words based on a system lexicon of the speech recognition system. The setting unit sets weighting factor of a probability of the language model for at least one of the user words based on the classified result.

Abstract: According to one embodiment, an apparatus for optimizing a speech recognition result comprising: a receiving unit configured to receive a speech recognition result; a calculating unit configured to calculate a pronunciation similarity between a segment of the speech recognition result and a key word in a key word list; and a replacing unit configured to replace the segment with the key word in a case that the pronunciation similarity is higher than a first threshold.

Abstract: An integrated circuit includes an operational circuit and a test circuit for measuring a leakage current associated with all or part of the operational circuit. The leakage current measurement circuit may include a mirror circuit configured to mirror leakage current to a current-to-voltage converter and an analog-to-digital converter configured to convert the analog voltage representative of the leakage current developed by the current-to-voltage converter to a digital value.

Abstract: Disclosed is a system for providing a moblog-based regional community service through a mobile terminal. The system includes a location-based community server for setting a plurality of main arenas by dividing a geographical area in a regional unit, setting and storing one or more virtual spatial locations, the one or more virtual spatial locations being a projection of real spatial public locations, as spots in one of the main arenas, receiving information on posts registered in spots transmitted through a mobile terminal by providing one or more pieces of information on the spots belonging to the main arena from information on a location of the mobile terminal to the mobile terminal, and storing the received information on posts with a link with the spots.