Abstract: The embodiments of the present disclosure provide a biometric detection sensor and a signal processing method thereof. The biometric detection sensor includes an array of detection pixels, the signal processing method includes: acquiring a first detection signal of each detection pixel in the array of detection pixels; for each detection pixel of at least part of detection pixels, processing the first detection signal of the detection pixel based on a reference signal to obtain a detection processing signal of the detection pixel, wherein a resolution of the detection processing signal is lower than that of the first detection signal; and outputting the detection processing signals of the at least part of detection pixels in the array of detection pixels, wherein the detection processing signals are used for biometric identification. The signal processing method can effectively reduce the amount of data for the processor to receive and process during biometric identification.

Abstract: A method for fabricating semiconductor device includes the steps of first providing a substrate having a first region and a second region, forming a first bottom barrier metal (BBM) layer on the first region and the second region, forming a first work function metal (WFM) layer on the first BBM layer on the first region and the second region, and then forming a diffusion barrier layer on the first WFM layer.

Abstract: An optical sensing apparatus including: a substrate including a first material; an absorption region including a second material different from the first material; an amplification region formed in the substrate and configured to collect at least a portion of the photo-carriers from the absorption region and to amplify the portion of the photo-carriers; an interface-dopant region formed in the substrate between the absorption region and the amplification region; a buffer layer formed between the absorption region and the interface-dopant region; one or more field-control regions formed between the absorption region and the interface-dopant region and at least partially surrounding the buffer layer; and a buried-dopant region formed in the substrate and separated from the absorption region, where the buried-dopant region is configured to collect at least a portion of the amplified portion of the photo-carriers from the amplification region.

Abstract: The present disclosure provides mechanisms to support collection of measurements data to support radio access network (RAN) intelligence. The present disclosure contains concepts, use cases, requirements, and solutions for collecting the measurement data to support artificial intelligence (AI) and/or machine learning (ML) enabled RAN, wherein the AI/ML functions reside in the RAN, a network function(s), management function(s), and/or in an Operation, Administration, and Maintenance function(s).

Abstract: A device includes a substrate, a first well region, a second well region, and a dummy region in the substrate, where the dummy region is a non-functional region situated between the first well region and the second well region. The first well region is configured to receive a first voltage and the second well region is configured to receive a second voltage that is different than the first voltage. The device further includes an active region that extends through at least part of the first well region and at least part of the dummy region, and at least one isolation structure situated in the dummy region between a first gate structure that extends over the active region in the dummy region on one side of the at least one isolation structure and a second gate structure on another side of the at least one isolation structure.

Abstract: A method for fabricating semiconductor device includes the steps of first providing a substrate having a first region and a second region, forming a first bottom barrier metal (BBM) layer on the first region and the second region, forming a first work function metal (WFM) layer on the first BBM layer on the first region and the second region, and then forming a diffusion barrier layer on the first WFM layer.

Abstract: An electromagnetic rotating device is provided. The electromagnetic rotating device includes a base, a pole disc, and a plurality of pole control units. Magnetic elements of the pole disc are arranged on a disc body. A second circular orbit of the pole disc is disposed on a lower surface of the disc body. The second circular orbit is configured to be slidably combined on a first circular orbit of the base. The pole control units are arranged on the base and configured to magnetically drive the magnetic elements to move, so that the pole disc rotates relative to the base.

Abstract: In some embodiments, the present disclosure relates to an integrated chip that includes an insulator layer arranged over a substrate. Further, an upper routing structure is arranged over the insulator layer and is made of a semiconductor material. A lower optical routing structure is arranged below the substrate and is embedded in a lower dielectric structure. The integrated chip further includes an anti-reflective layer that is arranged below the substrate and directly contacts the substrate.

Abstract: Nanostructure transistors are formed in a manner that may reduce the likelihood of source/drain region merging in the nanostructure transistors. In a top-down view of a nanostructure transistor described herein, source/drain regions on opposing sides of a nanostructure channel of the nanostructure transistor are staggered such that the distance between the source/drain regions is increased. This reduces the likelihood of the source/drain regions merging, which reduces the likelihood of failures and/or other defects forming in the nanostructure transistor. Accordingly, staggering the source/drain regions, as described herein, may facilitate the miniaturization of semiconductor devices that include nanostructure transistors while maintaining and/or increasing the semiconductor device yield of the semiconductor devices.

Abstract: The present disclosure relates to an integrated chip. The integrated chip includes an image sensing element disposed within a substrate. A gate structure is disposed along a front-side of the substrate. A back-side of the substrate includes one or more first angled surfaces defining a central diffuser disposed over the image sensing element. The back-side of the substrate further includes second angled surfaces defining a plurality of peripheral diffusers laterally surrounding the central diffuser. The plurality of peripheral diffusers are a smaller size than the central diffuser.

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

Abstract: After a data backup unit connects to a mobile device, an App executed on the mobile device will create a user profile block in the memory unit of the data backup unit, help set up charging preferences and backup preferences in the profile block, and create a backup folder to store backup files from the mobile device. The App estimates a charging time required to charge the battery, a backup time required to complete the data backup and an available time interval, then the App sums up the charging time and the backup time to get a required time interval. Then, the App compares the required time interval and the available time interval to decide whether to perform both the backup task and the charging task or to perform just the charging task.

Abstract: An imaging lens assembly module has an optical axis, and includes a lens barrel and an optical element set. The lens barrel includes an object-side portion, a tubular portion and a tip-end minimal aperture. The object-side portion includes a first assembling surface. The tubular portion includes a plurality of second assembling surfaces. The optical element set includes at least one light blocking sheet and at least one optical lens element. The light blocking sheet includes an object-side surface, an image-side surface and an inner opening surface. The optical lens element includes an optical effective portion and a peripheral portion. The object-side portion of the lens barrel includes a first reversing inclined surface gradually enlarged from the tip-end minimal aperture to the image side of the lens barrel, and the first reversing inclined surface is not contacted with the optical element set.

Abstract: The disclosure provides an electronic apparatus. The electronic apparatus includes a substrate, a first metal layer, an insulating layer, a first conductor, an electronic assembly and a transistor circuit die. The first metal layer is disposed on the substrate. The insulating layer is disposed on the substrate. The first conductor is formed in a first via of the insulating layer. The electronic assembly is disposed on the substrate and electrically connected to the first metal layer through the first conductor. The transistor circuit die is electrically connected to the first metal layer.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: A processor circuit sends a read request. A clock signal of the processor circuit corresponds to a first counting value. A memory circuit stores data and sends a data strobe signal in response to the read request. The data strobe signal corresponds to a second counting value. The processor circuit includes a selector circuit and a feedback circuit. The selector circuit selects and outputs a flag signal from a plurality of flag control signals according to the second counting value. The feedback circuit generates an enable signal according to a set signal associated with the first counting value, the flag signal associated with the second counting value, and a data strobe gate signal, and generates the data strobe gate signal according to the enable signal and the data strobe signal. The processor circuit reads the data according to the data strobe gate signal.

Abstract: An imaging lens set includes three plastic lens elements, which are a first lens element, a second lens element and a third lens element, and a light blocking sheet. The first lens element includes a first flat abutting portion and a first conical surface. The second lens element includes a second flat abutting portion, a second conical surface, a fourth flat abutting portion and a fourth conical surface. The third lens element includes a third flat abutting portion and a third conical surface. The first flat abutting portion is abutted with the second flat abutting portion, the first conical surface contacts with the second conical surface, and the third conical surface contacts with the fourth conical surface. The light blocking sheet is abutted with the third flat abutting portion and the fourth flat abutting portion, respectively.

Abstract: A somatosensory generation system featuring with thermal effects, includes a somatosensory effect controller used to access and process audio signals or control signals of actions or events of games, movies, AR/VR or application software from media players, game consoles, personal computers, AR/VR devices, and transmit them to at least a somatosensory effect conversion device and a plurality of somatosensory transducers are staggered distribution on the carrier to react the simulated waveform and heating information in corresponding to the portions of torso and limbs of the human body. This somatosensory generation system enhances immersive presence of entertainment dramatically and make users like to enter live action scenes through both haptic feedback and thermal effect applied on user's body.

Abstract: A method for a UE for performing a dormant operation is provided. The method includes receiving, from a BS, an RRC configuration indicating a set of one or more dormancy cell groups, wherein a group of serving cells belongs to a specific dormancy cell group in the set of one or more dormancy cell groups; receiving, from the BS, a signal including a bitmap, each bit of the bitmap being associated with a respective dormancy cell group in the set of one or more dormancy cell groups; and switching, based on a bit in the bitmap that is associated with the specific dormancy cell group, active BWPs of all serving cells included in the group of serving cells to a dormant BWP or to a non-dormant BWP.

Abstract: The present disclosure provides systems and methods for sorting a cell. The system may comprise a flow channel configured to transport a cell through the channel. The system may comprise an imaging device configured to capture an image of the cell from a plurality of different angles as the cell is transported through the flow channel. The system may comprise a processor configured to analyze the image using a deep learning algorithm to enable sorting of the cell.