Abstract: An apparatus configured for image processing comprises one or more processors configured to determine data associated with a distance between an object and the apparatus and determine a plurality of lens positions of a camera lens based on the data associated with the distance between the object and the apparatus. The one or more processors are further configured to determine, for each one of the plurality of lens positions, a respective focus value to generate a plurality of focus values. To determine, for each one of the plurality of lens positions, the respective focus value, the one or more processors are configured to determine, for each one of the plurality of lens positions, phase difference information. The one or more processors are further configured to determine a final lens position based on the plurality of focus values.

Abstract: Aspects presented herein enable updating the codebook configuration upon the changing of the cover or case of the UE. The apparatus applies a first codebook from a plurality of preconfigured codebooks. The apparatus detects a change of a cover state of the UE, wherein the change alters a transmission beam pattern at the UE. The apparatus applies a second codebook from the plurality of preconfigured codebooks based on the change of the cover state.

Abstract: A seat pad includes a supporting device, a shaping positioning portion, and an elastic member. The supporting device has a receiving space. The shaping positioning portion is at the outer periphery of the receiving space. The elastic member is arranged in the receiving space of the supporting device. The elastic member includes a contact surface in the shaping positioning portion, and the contact surface can be seated by a buttock of a user to hold the buttock of the user.

Abstract: A slide rail assembly includes a first rail, a second rail, a blocking feature, and a component. The two rails can be displaced with respect to each other. The blocking feature is provided at one of the two rails, and the component at the other of the two rails. When the second rail is at a predetermined position with respect to the first rail, a blocking portion of the blocking feature and a predetermined portion of the component are blocked by each other to prevent the second rail from being displaced with respect to the first rail from the predetermined position in a predetermined direction. One of the blocking portion and the predetermined portion forms a non-vertical structure.

Abstract: A method of pruning a batch normalization layer from a pre-trained deep neural network model is proposed. The pre-trained deep neural network model is inputted as a candidate model. The candidate model is pruned by removing the at least one batch normalization layer from the candidate model to form a pruned candidate model only when the at least one batch normalization layer is connected to and adjacent to a corresponding linear operation layer. The corresponding linear operation layer may be at least one of a convolution layer, a dense layer, a depthwise convolution layer, and a group convolution layer. Weights of the corresponding linear operation layer are adjusted to compensate for the removal of the at least one batch normalization. The pruned candidate model is then output and utilized for inference.

Abstract: A display device includes: a substrate; an insulating layer on the substrate and including a first opening; a first panel pad on the substrate and the insulating layer; and an anisotropic conductive film on the first panel pad, and the first panel pad includes a center area located at a center of the first opening, and a first edge area and a second edge area arranged along a lateral side of the insulating layer and located on respective sides of the center area with respect to a first direction, and the anisotropic conductive film overlaps at least one of the center area, the first edge area, and the second edge area of the first panel pad.

Abstract: An integrated circuit structure includes a semiconductor substrate having a plurality of semiconductor strips, a first recess being formed by two adjacent semiconductor strips among the plurality of semiconductor strips, a second recess being formed within the first recess, and an isolation region being provided in the first recess and the second recess. The second recess has a lower depth than the first recess.

Abstract: Methods and apparatus for performing secure ranging measurements between wireless devices are disclosed herein according to embodiments of the present invention. The described embodiments use key values to indicate which LTF sequence (e.g., LTF measurement exchange) to use for performing wireless ranging measurements. A LTF sequence that is received by a wireless device that does not correspond with the associated key value is determined to be invalid. Invalid LTF sequences may be disregarded as signal noise.

Abstract: A method for fabricating a high-voltage (HV) transistor is provided. The method includes providing a substrate, having a first isolation structure and a second isolation structure in the substrate and a recess in the substrate between the first and second isolation structures. Further, a hydrogen annealing process is performed over the recess. A sacrificial dielectric layer is formed on the recess. The sacrificial dielectric layer is removed, wherein a portion of the first and second isolation structures is also removed. A gate oxide layer is formed in the recess between the first and second isolation structures after the hydrogen annealing process.

Abstract: A method for predicting air quality with the aid of machine learning models includes: (A) providing air pollution data to perform an eXtreme Gradient Boosting (XGBoost) regression algorithm for obtaining a XGBoost prediction value; (B) providing the air pollution data to perform a Long Short-Term Memory (LSTM) algorithm for obtaining an LSTM prediction value; (C) combining the air pollution data, the XGBoost prediction value and the LSTM prediction value to generate air pollution combination data; (D) performing an XGBoost classification algorithm to obtain a suggestion for whether to issue an air pollution alert; and (E) performing the XGBoost regression algorithm on the air pollution combination data to obtain an air pollution prediction value. Two layers of machine learning models are built, and a situation where prediction results are too conservative when a single model does not have enough data can be improved.

Abstract: The present disclosure provides a bio-field effect transistor (BioFET) and a method of fabricating a BioFET device. The method includes forming a BioFET using one or more process steps compatible with or typical to a complementary metal-oxide-semiconductor (CMOS) process. The BioFET device may include a substrate; a gate structure disposed on a first surface of the substrate and an interface layer formed on the second surface of the substrate. The interface layer may allow for a receptor to be placed on the interface layer to detect the presence of a biomolecule or bio-entity.

Abstract: A washing machine includes: a cabinet having a first opening and a washing space formed therein; and a door assembly provided to open and close the first opening, wherein the door assembly includes: a door body having a second opening and corresponding to the first opening and provided to rotate relative to the cabinet; door glass having a glass hole communicating with the inside of the cabinet and coupled with the rear surface of the door body; a guide duct that connects the second opening and the glass hole; and a sealing member. The sealing member can prevent washing water or internal air from escaping from the door assembly.

Abstract: Disclosed is a method of operating an electronic apparatus, the method including identifying first position information on a map based on address information input by a user requesting a delivery service, identifying second position information corrected from the first position information on the map, updating information by matching the address information and the second position information on the map, and providing the updated information.

Abstract: A convolutional operation device for performing convolutional neural network processing includes an input sharing network including first and second input feature map registers configured to shift each input feature map, which is inputted in row units, in a row or column direction and output the shifted input feature map and arranged in rows and columns, a first MAC array connected to the first input feature map registers, an input feature map switching network configured to select one of the first and second input feature map registers, a second MAC array connected to one selected by the input feature map switching network among the first and second input feature map registers, and an output shift network configured to shift the output feature map from the first MAC array and the second MAC array to transmit the shifted output feature map to an output memory.

Abstract: The present disclosure provides a method of manufacturing a semiconductor device. The method includes forming a fin structure in which first semiconductor layers and second semiconductor layers are alternately stacked; forming a sacrificial gate structure over the fin structure; etching a source/drain region of the fin structure, which is not covered by the sacrificial gate structure, thereby forming a source/drain trench; laterally etching the first semiconductor layers through the source/drain trench; forming an inner spacer layer, in the source/drain trench, at least on lateral ends of the etched first semiconductor layers; forming a seeding layer on the inner spacer layer; and growing a source/drain epitaxial layer in the source/drain trench, wherein the growing of the source/drain epitaxial layer includes growing the source/drain epitaxial layer from the seeding layer.

Abstract: A lens assembly driving apparatus includes a holder, a metal yoke, a carrier, a lens assembly, a magnet set, a coil and at least one elastic element. The metal yoke is coupled with the holder. The carrier is movably disposed in the metal yoke. The carrier includes an object-side portion and at least three inner surfaces. The object-side portion has an object-side central hole. The lens assembly has an optical axis. The optical axis is corresponding to the object-side central hole. The lens assembly is coupled in the carrier. A movement of the lens assembly relative to the holder is according to a movement of the carrier. The magnet set includes only two magnets. The coil surrounds and is fixed at an exterior of the carrier. The elastic element is coupled with the carrier and the holder.

Abstract: An electrical connector assembly includes a first connector, and a second connector docked with the first connector. The first connector includes a first insulating housing, a plurality of first signal terminals disposed in the first insulating housing, and a plurality of first power terminals disposed in the first insulating housing. Extension directions of the plurality of the first power terminals are multiple directions. The second connector includes a second insulating housing, a plurality of second signal terminals disposed in the second insulating housing, and a plurality of second power terminals disposed in the second insulating housing. Extension directions of the plurality of the second power terminals are multiple directions. The plurality of the first signal terminals are corresponding to the plurality of the second signal terminals. The plurality of the second power terminals correspondingly contact with the plurality of the first power terminals.

Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: A hinge includes a base frame unit and two rotatable axle units. The base frame unit includes a base seat and a protective cover. The base seat has two guideways having upper and lower segments, and two shaft sliding slots. The protective cover has a base wall and two pivot pins. Each axle unit rotatably extends through the base seat, and includes a hinge shaft rotatably extending through the shaft sliding slot, a first rotary member non-rotatably fitted to the hinge shaft, a second rotary member connected with the first rotary member, and a support bracket non-rotatably fitted to the hinge shaft. The first rotary member has a guide key slidably engaged in the guideway. The second rotary member is pivoted to the pivot pin and has an engaging hole for receiving the guide key.

Abstract: A method includes forming a material layer over a substrate, forming a first hard mask (HM) layer over the material layer, forming a first trench, along a first direction, in the first HM layer. The method also includes forming first spacers along sidewalls of the first trench, forming a second trench in the first HM layer parallel to the first trench, by using the first spacers to guard the first trench. The method also includes etching the material layer through the first trench and the second trench, removing the first HM layer and the first spacers, forming a second HM layer over the material layer, forming a third trench in the second HM layer. The third trench extends along a second direction that is perpendicular to the first direction and overlaps with the first trench. The method also includes etching the material layer through the third trench.