Abstract: A convolutional neural network (CNN) processing method and apparatus. The apparatus may select, based on at least one of a characteristic of at least one kernel of a convolution layer or a characteristic of an input of the convolution layer, one operation mode from a first operation mode reusing a kernel, of the at least one kernel, and a second operation mode reusing the input, and perform a convolution operation based on the selected operation mode.

Abstract: A method to reduce a neural network includes: adding a reduced layer, which is reduced from a layer in the neural network, to the neural network; computing a layer loss and a result loss with respect to the reduced layer based on the layer and the reduced layer; and determining a parameter of the reduced layer based on the layer loss and the result loss.

Abstract: A display device including a display panel including a substrate, pixels provided on the substrate, and first lines connected to the pixels, the display device having a bending area where the display panel is bent. The display panel also includes a chip on film overlapping with a portion of the display panel and having second lines, an anisotropic conductive film provided between the chip on film and the display panel connecting the first lines and the second lines, and a coating layer covering the bending area and one end of the chip on film. In such a device, lines of the chip on film may be prevented from being corroded as they may be spaced apart from an edge of an insulating film.

Abstract: An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.

Abstract: A plasma processing apparatus may include a lower electrode supporting a wafer; a focus ring surrounding an edge of the lower electrode and having a ring shape; and an edge ring disposed in a position lower than a position of the focus ring. The focus ring may include a lower region and an upper region disposed on the lower region, and the upper region increases in electrical conductivity as the upper region is closer to the lower region.

Abstract: In a biomimetic artificial muscle module, a biomimetic artificial muscle assembly having the biomimetic artificial muscle module, and a method of controlling the biomimetic artificial muscle module, the biomimetic artificial muscle module includes an operating part, an elastic part, a driving part, a locking part and first and second sensors. The operating part contracts or relaxes along a longitudinal direction. The elastic part is connected to a first end of the operating part, and behaves elastically behave according to an external force. The driving part is connected to a second end of the operating part, and drives the operating part to be contracted or relaxed. The locking part selectively blocks a length of the operating part from being changed. The first and second sensors respectively sense the elastic part and the operating part.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: A BOG reliquefaction system includes: a compressor; a heat exchanger cooling the BOG compressed by the compressor through heat exchange using BOG not compressed by the compressor; a pressure reducer disposed downstream of the heat exchanger and reducing a pressure of fluid cooled by the heat exchanger; and a combination of a first temperature sensor disposed upstream of a cold fluid channel of the heat exchanger and a fourth temperature sensor disposed downstream of a hot fluid channel of the heat exchanger, combination of a second temperature sensor disposed downstream of the cold fluid channel of the heat exchanger and a third temperature sensor disposed upstream of the hot fluid channel of the heat exchanger, or combination of a first pressure sensor disposed upstream of the hot fluid channel of the heat exchanger and a second pressure sensor disposed downstream of the hot fluid channel of the heat exchanger.

Abstract: A semiconductor package includes a first semiconductor die and a stack of second semiconductor dies disposed on a package substrate. The semiconductor package further includes a first bridge die having first through vias that electrically connect the first semiconductor die to the package substrate, a second bridge die having second through vias that electrically connect the stack of the second semiconductor dies to the package substrate, and a third semiconductor die disposed to overlap with the first semiconductor die and the stack of the second semiconductor dies. Moreover, the semiconductor package further includes redistribution lines electrically connecting the third semiconductor die to the second bridge die.

Abstract: An electronic device includes a printed circuit board (PCB) defining a cavity, a first component pad of the PCB positioned outside the cavity, and a second component pad of the PCB positioned on a bottom surface of the cavity. The first component pad has a first thickness, and the second component pad has a second thickness that is less than the first thickness of the first component pad. An electronic component, such as a surface mounted technology (SMT) component, is mounted to the second component pad within the cavity.

Abstract: A method of operating a memory system includes setting a secured area in a volatile memory device of the memory system during a secure mode, writing secure data in the secured area during the secure mode, and when a write command for the secured area is inputted in a normal operation mode, preventing a write operation from occurring and generating an error signal. Accordingly, the secured area is set in the volatile memory device so that the hacking and the data forgery may be prevented.

Abstract: The present disclosure relates to a sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for internet of things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method for detecting a counterfeit advertiser by a server includes detecting a random delay time or a cumulative interval for a reference device based on a time stamp for an advertisement packet received from the reference device, and detecting a random delay time or a cumulative interval for a receiving device other than the reference device based on a time stamp for an advertisement packet received from the receiving device.

Abstract: A method for manufacturing a lithium ion polymer battery is provided in which in injecting electrolyte into a lithium ion polymer battery, the battery cell is immersed in an electrolyte impregnation bath to allow the electrolyte to be impregnated into the cell. The electrolyte can be impregnated simultaneously, and as the battery cell is activated, the electrolyte is settled down in the interior of the battery cell. Thus, when the battery cell is sealed, a phenomenon that the electrolyte is present at the sealed portion can be prevented.

Abstract: Disclosed is a user recognition apparatus and method, the apparatus configured to determine a validity of an iris area for each frame, to perform an iris recognition when the iris area is valid, and to extract a facial feature for a fusion recognition when the iris area is invalid.

Abstract: A display device includes a display panel including a bendable display panel including a substrate and a plurality of pad portions on the substrate. The substrate includes a cutout between adjacent pad portions of the plurality of pad portions.

Abstract: A processor-implemented liveness detection method includes: obtaining an initial image using a dual pixel sensor; obtaining a left image and a right image from the initial image; and detecting liveness of an object included in the initial image using the left image and the right image.

Abstract: A user verification method and apparatus using a generalized user model is disclosed, where the user verification method includes generating a feature vector corresponding to a user based on input data corresponding to the user, determining a first parameter indicating a similarity between the feature vector and an enrolled feature vector enrolled for user verification, determining a second parameter indicating a similarity between the feature vector and a user model corresponding to generalized users, and verifying the user based on the first parameter and the second parameter.

Abstract: A processor-implemented verification method includes: detecting a characteristic of an input image; acquiring input feature transformation data and enrolled feature transformation data by respectively transforming input feature data and enrolled feature data based on the detected characteristic, wherein the input feature data is extracted from the input image using a feature extraction model; and verifying a user corresponding to the input image based on a result of comparison between the input feature transformation data and the enrolled feature transformation data.

Abstract: A processor-implemented neural network processing method includes: obtaining a kernel bit-serial block corresponding to first data of a weight kernel of a layer in a neural network; generating a feature map bit-serial block based on second data of one or more input feature maps of the layer; and generating at least a portion of an output feature map by performing a convolution operation of the layer using a bitwise operation between the kernel bit-serial block and the feature map bit-serial block.

Abstract: A neural network processing method and apparatus based on nested bit representation is provided. The processing method includes obtaining first weights for a first layer of a source model of a first layer of a neural network, determining a bit-width for the first layer of the neural network, obtaining second weights for the first layer of the neural network by extracting at least one bit corresponding to the determined bit-width from each of the first weights for the first layer of a source model corresponding to the first layer of the neural network, and processing input data of the first layer of the neural network by executing the first layer of the neural network based on the obtained second weights.