Abstract: A method of training AI for label-free cell viability determination includes a step of providing a cell sample, a step of obtaining a fluorescence image and a DHM image of the cell sample, a step of determining a first cell viability of the cell sample according to the fluorescence image of the cell sample, a step of labeling the DHM image of the cell sample as a model specifying the first cell viability, and a step of performing AI training by using the model containing the DHM image of the cell sample.

Abstract: A method of forming foam material is provided, which includes mixing 100 parts by weight of a compound having cyclic carbonate groups and a foaming agent to form a foaming composition, wherein the foaming agent includes 3 to 13 parts by weight of carbamate salt and 15 to 65 parts by weight of amino compound. The foaming composition is heated to 100° C. to 170° C. for decomposing the carbamate salt into CO2 and amino compound, and the amino compound is reacted with the compound having cyclic carbonate groups to form the foam material.

Abstract: A polymer blend is provided, which includes 100 parts by weight of a first polyolefin, 3 to 100 parts by weight of a thermoplastic polyurethane, and 3 to 10 parts by weight of a modified polyolefin. The modified polyolefin is formed by grafting maleic anhydride or acrylate onto a second polyolefin. The blend can be used to form fiber.

Abstract: A method and an electronic apparatus for predicting a path based on an object interaction relationship are provided. The method includes the following. A video including a plurality of image frames is received. Object recognition is performed on a certain image frame among the plurality of image frames to recognize at least one object in the certain image frame. Preset interactive relationship information associated with the at least one object is obtained from an interactive relationship database based on the at least one object. A first trajectory for navigating the first vehicle is determined based on the preset interactive relationship information.

Abstract: A safe following distance estimation system and an estimation method thereof are provided. The safe following distance estimation system adapted for an autonomous vehicle includes a sensor and a processor. The sensor senses an adjacent vehicle to generate first sensing data, and senses the autonomous vehicle to generate second sensing data. The processor estimates a first friction parameter between wheels of the adjacent vehicle and a pavement according to pavement material data, and estimates a second friction parameter between wheels of the autonomous vehicle and the pavement according to the second sensing data. The processor calculates a safe following distance between the autonomous vehicle and the adjacent vehicle according to the first sensing data, the second sensing data, the first friction parameter, the second friction parameter.

Abstract: A MEMS infrared sensing device includes a substrate and an infrared sensing element. The infrared sensing element is provided above the substrate and has a sensing area and an infrared absorbing area which do not overlap each other. The infrared sensing element includes two infrared absorbing structures, an infrared sensing layer provided between the two infrared absorbing structures, and an interdigitated electrode structure located in the sensing area. Each of the two infrared absorbing structures includes at least one infrared absorbing layer, and the two infrared absorbing structures are located in the sensing area and the infrared absorbing area. The infrared sensing layer is located in the sensing area and does not extend into the infrared absorbing area. The interdigitated electrode structure is in electrical contact with the infrared sensing layer.

Abstract: An adaptive learning power modeling method includes: sampling at least one of a plurality of network components to form a power consumption evaluation network according to at least one parameter within a parameter range; evaluating a predictive power consumption of a to-be-measured circuit by the power consumption evaluation network; training and evaluating an actual power consumption and the predictive power consumption of the to-be-measured circuit by the power consumption evaluation network to obtain an evaluation result; and performing training according to the evaluation result to determine whether to change the power consumption evaluation network.

Abstract: An actuator includes a casing, an output disc, a transmission component, a cable, a power source, and a tension adjustment assembly. The output disc and the transmission component are rotatably disposed on the casing. The cable is disposed through the transmission component and connected to the output disc. The power source can drive the transmission component. The tension adjustment assembly includes a lever, an elastic component, and a slidable component. The lever has a first end and a second end opposite to each other. The first end is connected to the cable. The elastic component is connected to the casing and the second end of the lever. The slidable component is in contact with a portion of the lever located between the first end and the second end, and is slidable along the lever to change its position to adjust a tension of the cable.

Abstract: A high-temperature flow-splitting component, applicable to a temperature range from a first temperature to a second temperature, includes an entrance channel, at least one primary channel and at least one subordinate channel. The entrance channel is used for introducing a fluid at a total flow rate. The at least one primary channel for introducing the fluid from the entrance channel at a first flow rate is connected with the entrance channel by a first angle ranging from 90°˜270°. The at least one subordinate channel for introducing the fluid from the entrance channel at a second flow rate is connected with the at least one primary channel by a second angle ranging from 30°˜150°. A sum of the first flow rate and the second flow rate is equal to the total flow rate.

Abstract: A method for recognizing a deburring trajectory, relevant to be performed by a controller or a computer, includes the steps of: according to a process flow of a workpiece, analyzing a CAD file of the workpiece, determining a burr processing area and obtaining a mathematical model of boundary contour curve; applying a linear contour sensor to scan the workpiece to obtain contour section information of the workpiece; performing curve fitting upon the contour section information of the workpiece and the mathematical model of boundary contour curve so as to obtain a boundary curve function; and, utilizing the boundary curve function to determine deburring position information of the workpiece and to further generate a processing path. In addition, a system for recognizing a deburring trajectory is also provided.

Abstract: A voltage measurement device for pulse-width modulation (PWM) signals is provided, which includes a conversion circuit and a processing circuit. The conversion circuit receives a first PWM signal and a second PWM signal from a motor driving device, and converts the first PWM signal and the second PWM signal into the absolute value signal and the polarity signal of the line-to-line voltage signal between the first PWM signal and the second PWM signal. The processing circuit converts the polarity signal and the absolute value signal into a first integral signal and a second integral signal, and reconstructs the line-to-line voltage signal according to the first integral signal and the second integral signal so as to obtain the reconstructed voltage signal of the line-to-line voltage signal.

Abstract: A burr trimming device includes a removing assembly and a directed spraying assembly disposed on a carrier, wherein the directed spraying assembly has a nozzle facing the removing assembly. The directed spraying assembly rapidly freezes objects such as burrs and then the removing assembly removes the hardened objects by coming into rigid contact therewith, thereby ensuring complete removal of the fine flexible burrs.

Abstract: A method for analyzing an overcutting defect of a machining process comprises steps as following. A machining code is executed to generate a cutting face, wherein the cutting face comprises a plurality of machining paths. A specified machining path is defined from the plurality of machining paths and a specified node is set on the specified machining path. A sectional plane passing through the specified node is calculated. A plurality of intersection points between the sectional plane and the other machining paths which are different from the specified machining path are obtained. A first adjacent intersection point a second adjacent intersection point are specified from the intersection points. A connection line located between the first adjacent intersection point and the second adjacent intersection point is obtained. A distance between the specified node and connection line is calculate and the distance is defined as an overcutting amount of the specified node.

Abstract: An inspection apparatus for inspecting a light-emitting diode wafer is provided. The inspection apparatus includes a Z-axis translation stage, a sensing probe, a height measurement module, a carrier, an illumination light source, and a processing device. The sensing probe is integrated with the Z-axis translation stage. The Z-axis translation stage is adapted to drive the sensing probe to move in a Z axis. The sensing probe includes a photoelectric sensor, a beam splitter, and a photoelectric sensing structure. One of the photoelectric sensor of the sensing probe and the height measurement module is adapted to receive a light beam penetrating the beam splitter, and the other one of the photoelectric sensor of the sensing probe and the height measurement module is adapted to receive a light beam reflected by the beam splitter. The carrier is configured to carry the light-emitting diode wafer. The illumination light source is configured to emit an illumination beam to irradiate the light-emitting diode wafer.

Abstract: A stator includes a stator core and at least one fastener, the stator core includes a lamination, a shaft disposed through the lamination, and at least one insulator disposed on the lamination and configured to be wound with a wire. The fastener is disposed on the at least one insulator and configured for the wire to be wound thereon and for fixing at least one cable coming out from the shaft so as to electrically couple the wire and the at least one cable.

Abstract: An aluminum alloy powder for laser laminated manufacturing includes Si: 2.0-4.5 wt %; Mg: 0.1-1.3 wt %; Fe: 0.07-0.65 wt %; Cu: 0.35 wt % or less; Cr: 0.02-0.32 wt %; Zn: 0.23 wt % or less; Ti: 0.23 wt % or less; Mn: 0.13 wt % or less; and the rest is aluminum. The aluminum alloy powder further includes inevitable impurities.

Abstract: An electronic device includes a substrate, an electronic component, a first interposing layer and a second interposing layer. The substrate is non-planar and the substrate includes a first substrate pad and a second substrate pad. The electronic component includes a first component pad and a second component pad corresponding to the first substrate pad and the second substrate pad respectively. When the first component pad contacts the first substrate pad, a height difference exists between the second component pad and the second substrate pad. The first interposing layer connects between the first component pad and the first substrate pad. The second interposing layer connects between the second component pad and the second substrate pad. A thickness difference between the first interposing layer and the second interposing layer is 0.5 to 1 time the height difference.

Abstract: A computing in memory (CIM) cell includes a memory cell circuit, a first semiconductor element, a second semiconductor element, a third semiconductor element, and a fourth semiconductor element. A first terminal of the first semiconductor element receives a bias voltage. A control terminal of the first semiconductor element is coupled to a computing word-line. A control terminal of the second semiconductor element is coupled to a first data node in the memory cell circuit. A second terminal of the third semiconductor element is adapted to receive a reference voltage. A control terminal of the third semiconductor element receives an inverted signal of the computing word-line. A first terminal of the fourth semiconductor element is coupled to a first computing bit-line. A second terminal of the fourth semiconductor element is coupled to a second computing bit-line.

Abstract: A processing path generation method, a computer programming product, and a processing path generation system are provided. The processing path generation method includes the following steps. A boundary of a processing area is obtained. The boundary of the processing area is equidistantly retracted at least once to obtain a plurality of first paths. The first paths are evenly distributed across the processing area. It is confirmed whether overlapping ones are present among the first paths, and if so, the overlapping ones are integrated into a second path. It is confirmed whether concentric closed loops are present among the first paths, and if so, the concentric closed loops are integrated in to a spiral third path. The second path and the third path are connected into a final path.

Abstract: A training data generation device includes a virtual scene generation unit, an orthographic virtual camera, an object-occlusion determination unit, an object-occlusion determination unit and a perspective virtual camera. The virtual scene generation unit is configured for generating a virtual scene, wherein the virtual scene comprises a plurality of objects. The orthographic virtual camera is configured for capturing a vertical projection image of the virtual scene. The object-occlusion determination unit is configured for labeling an occluded-state of each object according to the vertical projection image. The perspective virtual camera is configured for capturing a perspective projection image of the virtual scene. The training data generation unit is configured for generating a training data of the virtual scene according to the perspective projection image and the occluded-state of each object.