Abstract: A semiconductor wafer inspection method is provided. The semiconductor wafer inspection method includes: providing a wafer with target and reference dies; obtaining a candidate image of a first region of the target die and a reference image of a second region of the reference die; performing an imaging process on the candidate image to obtain a high resolution candidate image including sub-pixels for each pixel of the candidate image; performing the imaging process on the reference image to obtain a high resolution reference image including sub-pixels for each pixel of the candidate image; shifting the high resolution reference image in units of the sub-pixels; obtaining a difference image based on a difference between the high resolution candidate image and the high resolution reference image; and detecting whether a defect signal generated based on the difference image exceeds a threshold value.

Abstract: A method displays a binocular hologram image. The method includes generating a light beam of an incident wave field having coherence, expanding the generated light beam to the size of the active area of a display, converging the expanded light beam on the respective positions of the eyes of a user, generating digital hologram content, and displaying a hologram image based on the converged light beam and on the digital hologram content.

Abstract: A method of manufacturing a fluorescent substance may include forming dicing trenches on one surface of a fluorescent substance wafer along grid-type dicing lines, filling the dicing trench with an adhesive material having fluidity, curing the adhesive material, reducing a thickness of a surface opposite to the one surface on which the dicing trenches are formed to make an integrated form of a plurality of individual fluorescent substances, which are divided along the dicing lines, with the adhesive material connecting therebetween, and removing the adhesive material to remain only the divided individual fluorescent substances.

Abstract: According to an embodiment of the present disclosure, a method for learning an exercise posture of a user is disclosed. The method includes: checking joint feature point information which is constructed based on a joint of the user; learning a ready posture learning model by learning the joint feature point information corresponding to a ready posture of the user; and learning an exercise posture learning model by learning the joint feature point information corresponding to an exercise posture of the user.

Abstract: There may be provided a fuel cell stack unit comprising: a first gas separating plate; a first sealing gasket; a metal support, an end cell, and an air inlet being formed in the outer peripheral side of the center portion; a second sealing gasket; and a second gas separating plate stacked on the lower side of the second sealing gasket, wherein air introduced from the air inlet of the first gas separating plate successively passes through the air inlets formed in the first sealing gasket, the metal support, and the second sealing gasket, respectively, and flows from one side of the end cell to the other side thereof along a stacking boundary between the lower side of the end cell and the upper side of the second gas separating plate; and the second sealing gasket is recessed inward from an edge of the second sealing gasket.

Abstract: A method for providing exercise load information of a target entity is provided. The method includes obtaining a target data set of the target entity for a target exercise session including a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining, based on the target data set, an estimated load index reflecting a level of exercise load of the target entity for the target exercise session using an artificial neural network (ANN).

Abstract: Techniques and systems relate to utilizing network metrics to optimize performance and network coverage for a telecommunications network. Using techniques described herein, a telecommunications network may utilize network metrics collected from user equipment (UE) devices to determine how where to deploy cells, such as 5G cells, in order to optimize network performance. Metrics are collected by UE that indicates the use of different wireless access technologies (e.g., 3G, 4G, 4G LTE, 5G, . . . ) within a telecommunications network.

Abstract: User equipment (UE) can include a network analyzer to capture network metrics to monitor conditions of cell coverage and band dominance. In some instances, the UE is served by a base station with multiple network bands. The base station may select a network band based on an optimization scheme. In some instances, the UE can capture data representing network metrics and can report such data to a network device to further aggregate the data and to generate reports. The network device can use the aggregated data to perform band dominance analysis, which may include determining a coverage index for each available band. The coverage index may be used to determine parameters for a base station. The parameters may be modified to trigger handovers to optimize band traffic.

Abstract: A protective case configured to cover a portable electronic device is provided. The protective case may include a first card storage configured to receive a first card, and a second card storage configured to store a second card where the second card storage is spaced apart from the first card storage.

Abstract: Disclosed is a polycrystalline ceramic dielectric comprising: crystal grain bulks made of a barium titanate-based ceramic; and grain boundaries comprising interfaces between the crystal grain bulks, wherein the composition of the grain boundaries is controlled using dopants. By controlling the grain boundary composition using dopants so that the dopants are distributed across a width of 5 nm or less and using a nano-sized, fine-grained barium titanate-based ceramic precursor, the grain boundary structure within the polycrystals may maintain electroneutrality, and their ferroelectricity may be controlled, thereby allowing for smoother polarization reaction.

Abstract: The present invention relates to a guide apparatus for installing a protective film on a front surface of a portable electronic device. The guide apparatus according to one embodiment includes: a receiving plate on which the portable electronic device is placed such that a rear surface of the portable electronic device is in contact with the receiving plate; and a retainer for retaining both end corners of a first side of the portable electronic device such that the retainer is in close contact with the first side of the portable electronic device placed on the receiving plate. The retainer is constructed to have a plurality of retaining lengths on the receiving plate.

Abstract: The present application provides an optical film. By controlling transmittance of a liquid crystal layer comprising a radical initiator for the maximum absorption wavelength of the radical initiator, the present application can provide an optical film having a liquid crystal layer having excellent resistance to external stimuli and excellent optical properties. Such an optical film can have various forms and can be used in various fields.

Abstract: A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.

Abstract: A pharmaceutical composition and a health functional food composition for alleviating eye fatigue containing, as active ingredients, compounds, particularly, luteolin-7-O-diglucuronide and apigenin-7-O-diglucuronide isolated from a Perilla frutescens (L.) Britton var. acuta (Thunb.) Kudo leaf extract have an effect of alleviating eye fatigue by increasing the contents of NO and cGMP associated with relaxation of ciliary smooth muscle cells isolated from rat's eyes and decreasing the content of [Ca2+]i, and increasing cGMP which is a factor associated with relaxation of the ciliary smooth muscle through an animal experiment. As a result, the luteolin-7-O-diglucuronide and apigenin-7-O-diglucuronide compounds extracted from Perilla frutescens (L.) Britton var. acuta (Thunb.) Kudo may be usefully used as a pharmaceutical composition and a health functional food composition having an eye fatigue alleviating effect as a Korean natural resource.

Abstract: A method of generating hologram data in a holographic display apparatus, including a hologram processing device generating hologram data and a display terminal reconstructing a hologram image in a three-dimensional (3D) space on the basis of the generated hologram data, includes generating depth map image data from input image data by using a deep learning engine for generating a depth map and calculating a complex value hologram on the basis of the depth map image data and the input image data to generate the hologram data.

Abstract: A neural network architecture embedding method according to an embodiment is performed by a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method generates a word data set for each of a plurality of layers of a neural network architecture on basis of one or more features of each of the plurality of layers, generates a graph regarding the neural network architecture on basis of the word data set and connection relationship between the plurality of layers, and generates a neural network architecture embedding vector for the neural network architecture by inputting the graph regarding the neural network architecture to a pre-trained network-vector transformation model.

Abstract: The present disclosure provides an agrivoltaic forecasting modeling system that can assess solar power yields and crop yield produced by an agrivoltaic system.

Abstract: A thickness prediction network learning method includes measuring spectrums of optical characteristics of a plurality of semiconductor structures each including a substrate and first and second semiconductor material layers alternately stacked thereon to generate sets of spectrum measurement data, measuring thicknesses of the first and second semiconductor material layers to generate sets of thickness data, training a simulation network using the sets of spectrum measurement data and the sets of thickness data, generating sets of spectrum simulation data of spectrums of the optical characteristics of a plurality of virtual semiconductor structures based on thicknesses of first and second virtual semiconductor material layers using the simulation network, each of the first and second virtual semiconductor layers including the same material as the first and second semiconductor material layers, respectively; and training a thickness prediction network by using the sets of spectrum measurement data and the sets

Abstract: Provided is an impact motion recognition system for screen-based multi-sport coaching.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.