Abstract: A coupled physiological signal measuring device is provided. The coupled physiological signal measuring device includes at least two measuring electrodes, a signal processing unit and a multiplex feedback circuit unit. The measuring electrodes are used to obtain a real-time physiological signal through measurement. The signal processing unit includes a discharge control element. If an electrostatic surge of the real-time physiological signal meets a condition, a discharge control signal is outputted. The multiplex feedback circuit unit is used to discharge the measuring electrodes according to the discharge control signal.

Abstract: Provided are a circuit apparatus, a manufacturing method thereof, and a circuit system. The circuit apparatus includes a flexible circuit board, a flexible packaging material layer and an electronic device. The flexible circuit board has at least one hollow pattern, wherein the flexible circuit board has an inner region and a peripheral region surrounding the inner region, and has a first surface and a second surface opposite to each other. The flexible packaging material layer is disposed in the at least one hollow pattern. The electronic device is disposed on the first surface of the flexible circuit board and electrically connected with the flexible circuit board.

Abstract: A physiological signal measurement system, a physiological signal measurement method, and a mobile device protective case are provided. The physiological signal measurement system includes a first electrode, a second electrode, a reference electrode, an impedance front-end circuit module and a dynamic signal matching module. The first electrode, the second electrode and the reference electrode are used to obtain a first sensing signal and a second sensing signal. The impedance front-end circuit module is used to detect a first impedance of the first electrode and a second impedance of the second electrode, and obtain an original differential signal according to the first sensing signal and the second sensing signal. The dynamic signal matching module is used to obtain a calibration sequence according to the first impedance, the second impedance and the original differential signal, and obtain a compensated calibration sequence according to the calibration sequence and the original differential signal.

Abstract: The present disclosure relates to analysis of Hg(II) isotopes in the aqueous phase, and provides an in-situ enrichment method and an analytical method for Hg(II) isotopes in the aqueous phase. The in-situ enrichment method includes the following steps: conducting adsorption in the water sample by a diffusive gradient in thin-films (DGT) device to obtain an Hg(II)-adsorbed DGT device; where a binding gel of the DGT device is an NSBA gel; conducting elution on the NSBA gel in the Hg(II)-adsorbed DGT device to acquire an Hg(II)-containing eluate with a mercury concentration higher than or equal to 0.5 ng/mL; where the elution is carried out with an eluent of reverse aqua regia. In the in-situ enrichment method, the NSBA-DGT device only needs to be placed in the water sample to be investigated to perform in-situ Hg(II) adsorption without direct grab sampling.

Abstract: An electronic device may have a display with touch sensors. One or more shielding layers may be interposed between the display and the touch sensors. The shielding layers may include shielding structures such as a conductive mesh structure and/or a transparent conductive film. The shielding structures may be actively driven or passively biased. In the active driving scheme, one or more inverting circuits may receive a noise signal from a cathode layer in the display and/or from the shielding structures, invert the received noise signal, and drive the inverted noise signal back onto the shielding structures to prevent any noise from the display from negatively impacting the performance of the touch sensors. In the passive biasing scheme, the shielding structures may be biased to a power supply voltage.

Abstract: A film deformation element includes a first stack and a second stack. The first stack includes a first passivation layer, a first substrate, a first metal layer and a first dielectric layer. The first substrate is disposed on the first passivation layer. The first metal layer is disposed on the first substrate. The first dielectric layer is disposed on the first metal layer. The second stack is bonded to the first stack, to form a sealing space. The second stack includes a second passivation layer, a second substrate, a second metal layer and a second dielectric layer. The second dielectric layer is disposed on and faces the first dielectric layer. The second metal layer is disposed on the second dielectric layer. The second substrate is disposed on the second metal layer. The second passivation layer is disposed on the second substrate.

Abstract: An electrophysiological signal measurement system, an electrophysiological signal adjustment method and an electrode assembly are provided. The electrophysiological signal measurement system includes an electrode assembly, a variation adjustment device and a signal processing device. The electrode assembly receives an electrophysiological signal, a first electrical characteristic value and a second electrical characteristic value. The variation adjustment device includes a comparison unit and a searching unit. The comparison unit receives the first electrical characteristic value and the second electrical characteristic value, and determines whether a difference between the first electrical characteristic value and the second electrical characteristic value is greater than a threshold.

Abstract: A multiple sensor-fusing based interactive training system, including a posture sensor, a sensing module, a computing module, and a display module, is provided. The posture sensor is configured to sense posture data and myoelectric data related to a training action. The sensing module is configured to output limb torque data according to the posture data, and output muscle group activation time data according to the myoelectric data. The computing module is configured to respectively convert the limb torque data and the muscle group activation time data into a moment-skeleton coordinate system and a muscle strength eigenvalue-skeleton coordinate system according to a skeleton coordinate system, perform fusion calculation, calculate evaluation data based on a result of the fusion calculation, and judge that the training action corresponds to a known exercise action according to the evaluation data. The display module is configured to display the evaluation data and the known exercise action.

Abstract: Provided are a circuit apparatus, a manufacturing method thereof, and a circuit system. The circuit apparatus includes a flexible circuit board, a flexible packaging material layer and an electronic device. The flexible circuit board has at least one hollow pattern, wherein the flexible circuit board has an inner region and a peripheral region surrounding the inner region, and has a first surface and a second surface opposite to each other. The flexible packaging material layer is disposed in the at least one hollow pattern. The electronic device is disposed on the first surface of the flexible circuit board and electrically connected with the flexible circuit board.

Abstract: A coupled physiological signal measurement method, a coupled physiological signal measurement system and a graphic user interface are provided. The coupled physiological signal measurement method includes the following steps. An original myoelectric signal is captured. A capacitance value of a skin is obtained. The original myoelectric signal is compensated according to the capacitance value of the skin. The step of compensating the original myoelectric signal according to the capacitance value includes the following steps. The original myoelectric signal is decomposed to obtain several myoelectric sub-signals corresponding to several frequencies, wherein each myoelectric sub-signal has an amplitude variation. The amplitude variations of the myoelectric sub-signals are respectively adjusted according to the capacitance value of the skin. The adjusted myoelectric sub-signals are merged to obtain a compensated myoelectric signal.

Abstract: A physiological signal recognition apparatus and a physiological signal recognition method are provided. A root mean square algorithm is executed on a physiological signal to obtain a noise threshold, and the physiological signal is adjusted based on the noise threshold to obtain an adjusted signal. Then, a muscle strength starting point in the adjusted signal is detected.

Abstract: The present invention performs high-throughput disassembly for executable code comprising a plurality of instructions. An input of the executable code is received. Exhaustive disassembly is performed on the executable code to produce a set of exhaustively disassembled instructions. An instruction flow graph is constructed from the exhaustively disassembled instructions. Instruction embedding is performed on the exhaustively disassembled instructions to construct embeddings.

Abstract: An electronic device for signal interference compensation is provided. The first signal line is electrically connected to the transmitter. The second signal line is electrically connected to the receiver and coupled with the first signal line. The electrode is electrically connected to the second signal line and measures a physiological signal. The processor is electrically connected to the transmitter and the receiver, and configured to: transmit, via the transmitter, an active signal to the first signal line; receive, via the receiver, a coupling signal corresponding to the active signal from the second signal line, and calculate a compensation value according to the coupling signal; and receive, via the receiver, an interfered signal corresponding to the physiological signal, and restore the physiological signal according to the compensation value and the interfered signal in response to the compensation value matching the interfered signal.

Abstract: Provided are a physiological signal sensing system and a physiological signal sensing method. The physiological signal sensing system includes a physiological signal sensing apparatus, a variation sensing apparatus, and a signal processing apparatus. The physiological signal sensing apparatus is disposed on a fabric to sense and provide physiological signals of an organism. The physiological signal sensing apparatus includes capacitive coupling devices. The variation sensing apparatus is disposed on the fabric and includes a distance sensing device to sense a distance between the physiological signal sensing apparatus and the organism, and provide a first capacitance variation signal according to the distance.

Abstract: The present invention performs high-throughput disassembly for executable code comprising a plurality of instructions. An input of the executable code is received. Exhaustive disassembly is performed on the executable code to produce a set of exhaustively disassembled instructions. An instruction flow graph is constructed from the exhaustively disassembled instructions. Instruction embedding is performed on the exhaustively disassembled instructions to construct embeddings.

Abstract: A novel high-throughput embedding generation and comparison system for executable code is presented in this invention. More specifically, the invention relates to a deep-neural-network based graph embedding generation and comparison system. A novel bi-directional code graph embedding generation has been proposed to enrich the information extracted from code graph. Furthermore, by deploying matrix manipulation, the throughput of the system has significantly increased for embedding generation. Potential applications such as executable file similarity calculation, vulnerability search are also presented in this invention.

Abstract: A novel high-throughput embedding generation and comparison system for executable code is presented in this invention. More specifically, the invention relates to a deep-neural-network based graph embedding generation and comparison system. A novel bi-directional code graph embedding generation has been proposed to enrich the information extracted from code graph. Furthermore, by deploying matrix manipulation, the throughput of the system has significantly increased for embedding generation. Potential applications such as executable file similarity calculation, vulnerability search are also presented in this invention.

Abstract: A method and a system for information display are proposed. The system includes a light transmissive display, at least one first information extraction device, at least one second information extraction device, and a processing device, where the processing device is connected to the display, the first information extraction device, and the second information extraction device. The first information extraction device is configured to obtain position information of a user. The second information extraction device is configured to obtain position information of a target. The processing device is configured to perform coordinate transformation on the position information of the user and the position information of the object to generate fused information between the user and the target, and to display related information of the object on the display according to the fused information.

Abstract: A sale system and a controlling method thereof are provided. The sale system includes a data acquisition unit, a door, a door control unit, a first image capturing unit, a determining unit and a payment unit. The data acquisition unit is configured to obtain a consumer payment information and withdrawal rights. The door control unit is configured to unlock the door when the consumer payment information and withdrawal rights is obtained. The first image capturing unit is configured to capture an image of a product. When the door is closed, the determining unit determines whether the product has been taken according to the image or a sensing information. When the product has been taken, the payment unit charges a payment based on the consumer payment information and withdrawal rights.