Abstract: An electromagnetic interference (EMI) shielding package structure, a manufacturing method thereof, and an electronic assembly are provided. The EMI shielding package structure includes a carrier, at least one chip mounted on a first board surface of the carrier, an encapsulant formed on the carrier and packaging the at least one chip, an EMI shielding layer formed on an outer surface of the encapsulant, and an insulating layer. The insulating layer includes a spraying portion and a capillary permeating portion. The spraying portion is formed at least part of an outer surface of the EMI shielding layer. The capillary permeating portion is formed by extending from a bottom end of the spraying portion toward a second board surface of the carrier through capillarity, and the capillary permeating portion covers a bottom edge of the EMI shielding layer.

Abstract: Intelligent process management is provided. A start time is determined for an additional process to be run on a worker node within a duration of a sleep state of a task of a process already running on the worker node by adding a first defined buffer time to a determined start time of the sleep state of the task. A backfill time is determined for the additional process by subtracting a second defined buffer time from a determined end time of the sleep state of the task. A scheduling plan is generated for the additional process based on the start time and the backfill time corresponding to the additional process. The scheduling plan is executed to run the additional process on the worker node according to the start time and the backfill time corresponding to the additional process.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: The present disclosure provides a multi-state one-time programmable (MSOTP) memory circuit including a memory cell and a programming voltage driving circuit. The memory cell includes a MOS storage transistor, a first MOS access transistor and a second MOS access transistor electrically connected to store two bits of data. When the memory cell is in a writing state, the programming voltage driving circuit outputs a writing control potential to the gate of the MOS storage transistor, and when the memory cell is in a reading state, the programming voltage driving circuit outputs a reading control potential to the gate of the MOS storage transistor.

Abstract: A chip package structure and an electromagnetic interference (EMI) shielding package module thereof are provided. The EMI shielding package module includes an encapsulant, an EMI shielding layer, and a recognition contrast layer. The encapsulant has a patterned trench that is recessed in a top surface thereof. The EMI shielding layer includes a recognition region formed on the top surface and an embedded region that is filled in the patterned trench. The recognition contrast layer is filled in the patterned trench and is connected to the embedded region. The recognition contrast layer and the recognition region respectively have different colors that conform to grade A or grade B in ISO/IEC 15415 standard. An end portion of the recognition contrast layer protruding from the top surface is coplanar with the recognition region so as to jointly form a predetermined two-dimensional (2D) code pattern having a planar shape.

Abstract: A chip package structure and a package module thereof are provided. The package module includes an encapsulant and a recognition contrast layer. The encapsulant has a patterned trench that is recessed in a top surface thereof and that corresponds in shape to a predetermined two-dimensional (2D) code pattern. The recognition contrast layer is filled in the patterned trench. The recognition contrast layer and the top surface of the encapsulant respectively have different colors that conform to grade A or grade B in the ISO/IEC 15415 standard. The recognition contrast layer is coplanar with the top surface of the encapsulant so as to jointly form the predetermined 2D code pattern having a planar shape.

Abstract: A laser processing device for processing a workpiece is provided, including a laser emitter, a lens module, a driving module, a camera module, and a processing unit. The lens module has a first lens and a second lens, wherein the laser emitter emits a laser beam through the first and second lenses to the workpiece. The driving module drives the first lens to move relative to the second lens. The camera module captures an image of the workpiece. The processing unit is electrically connected to the camera module and the driving module, wherein the camera module transmits an image signal to the processing unit according to the image of the workpiece, and the processing unit transmits a driving signal to the driving module according to the image signal, driving the first lens to move relative to the second lens. A method for processing a workpiece is also provided.

Abstract: A soldering process method includes steps of: establishing a material component database; establishing a working parameter database; analyzing material and component characteristics required for a new soldering process; comparing the characteristics with information in the material component database; selecting operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; performing the soldering process using the operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; measuring and recording the soldering process execution information and the final product information; determining whether the final product of the solder process meets the quality control requirements; using the machine learning method to fit the soldering process execution information and the final product information of the solder process to get the operating parameters for the next sol

Abstract: A laser soldering system includes a laser source module, a polarization adjusting assembly, a temperature sensor, and a controller. The laser source module is configured to emit a laser beam. The polarization adjusting assembly includes a plurality of polarization elements and at least one stepping motor. The polarization elements are configured to split the laser beam into a Gaussian beam and a ring-shaped beam. The Gaussian beam illuminates the first element, and the ring-shaped beam is illuminates the second element. The stepping motor is configured to adjust a size of the ring-shaped beam. The temperature sensor is configured to monitor temperatures of the first element and a temperature of the second element. The controller is electrically connected to the temperature sensor, the laser source module, and the polarization adjusting assembly.

Abstract: A chip scale package structure of heat-dissipating type is provided and includes a board, a die fixed on and electrically coupled to the board, a thermally conductive adhesive sheet adhered to the die, and a package body formed on the board. The die has a heat-output surface arranged away from the board. The thermally conductive adhesive sheet is connected to at least 50% of an area of the heat-output surface. The package body covers and is connected to the die and entire of the surrounding lateral surface of the thermally conductive adhesive sheet. The die is embedded in the board, the thermally conductive adhesive sheet, and the package body. The heat-dissipating surface of the thermally conductive adhesive sheet is exposed from the package body, and a thermal conductivity of the thermally conductive adhesive sheet is at least 150% of a thermal conductivity of the package body.

Abstract: A laser soldering device includes a laser source, a lens group, a temperature sensor, and a feedback controller. The laser source emits a laser beam, which is power-adjustable, according to a control signal. The temperature sensor receives infrared rays radiated when the laser beam is irradiated to the soldering point to detect the temperature of the soldering point, and correspondingly outputs a sensing signal according to the detected temperature. When the detected temperature falls into a first temperature range based on a target temperature, the feedback controller executes a PID algorithm to calculate a predicted error value according to an error value between the detected temperature and the target temperature. The feedback controller controls the laser source according to the predicted error value, and adjusts the power of the laser beam accordingly, so that the detected temperature can be substantially equal to the target temperature.

Abstract: A wireless communication device is provided and includes a communication module, a dust and moisture resistant adhesive, and a nano-metallic layer. The communication module includes a circuit board, a communication chip and a plurality of passive components mounted on a carrying surface of the circuit board, and an insulating sheet that is disposed on the passive components and that has a thickness smaller than or equal to 150 ?m. The dust and moisture resistant adhesive covers any electrically conductive portions of the communication module on the carrying surface. The nano-metallic layer covers the dust and moisture resistant adhesive, the communication chip, the passive components, and the insulating sheet, and is electrically coupled to a grounding portion of the circuit board. The wireless communication device does not include any grounding metal housing mounted on the circuit board.

Abstract: A laser processing device for processing a workpiece is provided, including a laser emitter, a lens module, a driving module, a camera module, and a processing unit. The lens module has a first lens and a second lens, wherein the laser emitter emits a laser beam through the first and second lenses to the workpiece. The driving module drives the first lens to move relative to the second lens. The camera module captures an image of the workpiece. The processing unit is electrically connected to the camera module and the driving module, wherein the camera module transmits an image signal to the processing unit according to the image of the workpiece, and the processing unit transmits a driving signal to the driving module according to the image signal, driving the first lens to move relative to the second lens. A method for processing a workpiece is also provided.

Abstract: A laser soldering device includes a laser source, a lens group, a temperature sensor, and a feedback controller. The laser source emits a laser beam, which is power-adjustable, according to a control signal. The temperature sensor receives infrared rays radiated when the laser beam is irradiated to the soldering point to detect the temperature of the soldering point, and correspondingly outputs a sensing signal according to the detected temperature. When the detected temperature falls into a first temperature range based on a target temperature, the feedback controller executes a PID algorithm to calculate a predicted error value according to an error value between the detected temperature and the target temperature. The feedback controller controls the laser source according to the predicted error value, and adjusts the power of the laser beam accordingly, so that the detected temperature can be substantially equal to the target temperature.

Abstract: A soldering process method includes the following steps. A temperature profile of generating a solder structure is measured. A final product of the solder structure is tested and recorded. A machine learning method is used to repeatedly compare and analyze a relationship between a plurality of the temperature profiles of the solder structure and a corresponding final product of the solder structure so as to find an optimal temperature profile model in accordance with quality control requirements.

Abstract: A wireless communication device is provided and includes a communication module, a dust and moisture resistant adhesive, and a nano-metallic layer. The communication module includes a circuit board, a communication chip and a plurality of passive components mounted on a carrying surface of the circuit board, and an insulating sheet that is disposed on the passive components and that has a thickness smaller than or equal to 150 ?m. The dust and moisture resistant adhesive covers any electrically conductive portions of the communication module on the carrying surface. The nano-metallic layer covers the dust and moisture resistant adhesive, the communication chip, the passive components, and the insulating sheet, and is electrically coupled to a grounding portion of the circuit board. The wireless communication device does not include any grounding metal housing mounted on the circuit board.

Abstract: A chip scale package structure of heat-dissipating type is provided and includes a board, a die fixed on and electrically coupled to the board, a thermally conductive adhesive sheet gaplessly adhered to the die, and a package body formed on the board. The die has a heat-output surface arranged away from the board. The thermally conductive adhesive sheet is connected to at least 50% of an area of the heat-output surface. The package body covers and is connected to the die and the entirety of the surrounding lateral surface of the thermally conductive adhesive sheet. The die is embedded in the board, the thermally conductive adhesive sheet, and the package body. The heat-dissipating surface of the thermally conductive adhesive sheet is exposed from the package body, and a thermal conductivity of the thermally conductive adhesive sheet is at least 150% of a thermal conductivity of the package body.

Abstract: A soldering process method includes steps of: establishing a material component database; establishing a working parameter database; analyzing material and component characteristics required for a new soldering process; comparing the characteristics with information in the material component database; selecting operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; performing the soldering process using the operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; measuring and recording the soldering process execution information and the final product information; determining whether the final product of the solder process meets the quality control requirements; using the machine learning method to fit the soldering process execution information and the final product information of the solder process to get the operating parameters for the next sol

Abstract: A multi-beam soldering system includes a multi-beam scanner, a sensor, and a controller. The multi-beam scanner generates at least a first beam and a second beam, and guides the first beam to a first element of a soldering zone and guides the second beam to a second element of the soldering zone. The sensor detects a first temperature of the first element and a second temperature of the second element simultaneously during soldering process. The controller adjusts the parameters of the first beam and the second beam under the condition that the first temperature is substantially different from the second temperature.

Abstract: A soldering process method includes the following steps. A temperature profile of generating a solder structure is measured. A final product of the solder structure is tested and recorded. A machine learning method is used to repeatedly compare and analyze a relationship between a plurality of the temperature profiles of the solder structure and a corresponding final product of the solder structure so as to find an optimal temperature profile model in accordance with quality control requirements.