Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: A portable machine health monitoring system, applied for diagnosing a machine in operation, includes an installation device and a portable monitoring box. The installation device includes a plurality of sensing assemblies and a plurality of connecting assemblies. Each of the plurality of sensing assemblies is connected with the corresponding connecting assembly. Each of the plurality of connecting assemblies mounts the corresponding sensing assembly in a non-destructive manner onto a detected position on the machine. Each of the plurality of sensing assemblies is used for detecting a motion signal at the corresponding detected position on the machine in operation. The portable monitoring box, connected with the installation device, includes an analysis module for receiving the motion signal and further for calculating a health status information according to the detected motion signal.

Abstract: A cutting machine supplying & marketing DLT-based system is provided, which includes a plurality of sensors, a cloud analysis device, a cloud data ledger module and a cloud supplying module. The sensors are connected to a plurality of components of a target cutting machine implementing a cutting operation and each sensor provides the operation data of one of the components. The cloud analysis device analyzes the operation data of the components to generate analysis results and generates the healthy statuses of the components according to the analysis results. The cloud data ledger module records the healthy statuses of the components. The cloud supplying module transmits a component purchase reminder signal to a user device according to the healthy statuses of the components for the user device to make an order.

Abstract: Embodiments of the present disclosure relate to techniques for facilitating personalized neuromodulation treatment protocols. In one embodiment, a predetermined treatment position of an energy application device is used to guide future treatments for the patient. In one embodiment, a position of the energy application device relative to the predetermined treatment position is determined. In one embodiment, a total dose of ultrasound energy applied to the region of interest is determined.

Abstract: The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue to cause altered activity at a synapse between a neuron and a non-neuronal cell.

Abstract: A smart adjustment system is provided, which may include a cloud computing device and a data acquisition device. The cloud computing device may include a neural network model saving the model data of machine tools, and the estimated increase percentages of each machine tool in different cutting parameters. The data acquisition device may receive the model data of a target machine tool. The could computing device may compare the model data of the target machine tool with the model data of the machine tools via the neural network model in order to calculate an estimated cutting parameter with an estimated increase percentage and control the target machine tool to perform a machining process by the estimated cutting parameter.

Abstract: An inverter structure includes a first fin structure and a second fin structure respectively disposed within a P-type transistor region and an N-type transistor region on a substrate. Agate line is disposed on the substrate. A first end of the gate line is within the P-type transistor region, and a second end of the gate line is within the N-type transistor region. Two dummy gate lines are disposed at two sides of the gate line. Each dummy gate line has a third end within the P-type transistor region, and a fourth end within the N-type transistor region. A distance between the first end and the first fin structure is greater than a distance between the third end and the first fin structure. The distance between the second end and the second fin structure is smaller than a distance between the fourth end and the second fin structure.

Abstract: A horizontal bar device comprises at least three vertically disposed struts, and crossbars connected between the two adjacent struts. A plurality of sleeves are sleeved on an upper part of each of the struts with the sleeves being stacked on top of one another, each end of each of the crossbars is fixedly connected to one of the sleeves, and each of the struts has a blocking surface capable of preventing the sleeves from sliding downward. A positioning structure is disposed between the two adjacent sleeves capable of preventing rotation of the sleeves. An upper end of each of the struts is sleeved with a locking sleeve, and the locking sleeve is pressed against the sleeves through a fastener.

Abstract: The disclosure relates to smart security inspection systems and methods. One illustrative method may comprise distributing, by the system, a security inspection tray to a person to be inspected through an unpacking station and associating/binding information regarding the person to be inspected to a baggage identifier, and identifying the baggage identifier, obtaining the information of the person to be inspected according to the baggage identifier, obtaining pre-stored risk information according to the information of the person to be inspected, performing differentiated security inspections on the person to be inspected and/or baggage according to the risk information, and associating/binding the obtained data to the information of the person to be inspected. Further implementations relate to features such as processing identity information, controlling flow in the baggage handling area(s), imaging baggage, packing the baggage, and finishing the security inspection.

Abstract: An inverter structure includes a first fin structure and a second fin structure respectively disposed within a P-type transistor region and an N-type transistor region on a substrate. Agate line is disposed on the substrate. A first end of the gate line is within the P-type transistor region, and a second end of the gate line is within the N-type transistor region. Two dummy gate lines are disposed at two sides of the gate line. Each dummy gate line has a third end within the P-type transistor region, and a fourth end within the N-type transistor region. A distance between the first end and the first fin structure is greater than a distance between the third end and the first fin structure. The distance between the second end and the second fin structure is smaller than a distance between the fourth end and the second fin structure.

Abstract: An injection molding apparatus including a mold, an injection device and a specific volume sensing module is provided. The injection device is adapted to inject a material into the mold. At least parts of the specific volume sensing module are disposed at the mold, wherein the specific volume sensing module is adapted to sense an actual specific volume of the material in the mold. In addition, an injection molding method is also provided.

Abstract: An inverter structure includes a first fin structure and a second fin structure respectively disposed within a P-type transistor region and an N-type transistor region on a substrate. A gate line is disposed on the substrate. A first end of the gate line is within the P-type transistor region, and a second end of the gate line is within the N-type transistor region. Two dummy gate lines are disposed at two sides of the gate line. Each dummy gate line has a third end within the P-type transistor region, and a fourth end within the N-type transistor region. A distance between the first end and the first fin structure is greater than a distance between the third end and the first fin structure. The distance between the second end and the second fin structure is smaller than a distance between the fourth end and the second fin structure.

Abstract: A transducer assembly is provided. The transducer assembly includes a routing layer. The transducer assembly further includes a plurality of transducer elements arranged on a first side of the interposer. The transducer assembly also includes a first application specific integrated circuit (ASIC) arranged vertically below the plurality of transducer elements and on a second side of the interposer, wherein the first ASIC comprises a plurality of signal conditioning circuits.

Abstract: A transducer assembly is provided. The transducer assembly includes an aperture comprising a plurality of transducer elements. The transducer assembly also includes a plurality of first-level summers, wherein each transducer element is configured to be switchably coupled to at least four of the plurality of first-level summers. The transducer assembly further includes a plurality of second-level summers, wherein an output of each of the plurality of first-level summers is configured to be switchably coupled to an input of one of the plurality of second-level summers.

Abstract: A cleaning system and method use an ultrasound probe, a coupling mechanism, and a controller to clean equipment of a vehicle system. The ultrasound probe enters into an engine. The ultrasound probe emits ultrasound pulses and the coupling mechanism provides an ultrasound coupling medium between the ultrasound probe and one or more components of the engine. The controller drives the ultrasound probe to deliver the ultrasound pulse through the coupling medium to a surface of the one or more components of the engine. The ultrasound probe delivers the ultrasound pulse to remove deposits from the one or more components of the engine.

Abstract: A cleaning system and method use an ultrasound probe, a coupling mechanism, and a controller to clean equipment of a vehicle system. The ultrasound probe enters into an engine. The ultrasound probe emits ultrasound pulses and the coupling mechanism provides an ultrasound coupling medium between the ultrasound probe and one or more components of the engine. The controller drives the ultrasound probe to deliver the ultrasound pulse through the coupling medium to a surface of the one or more components of the engine. The ultrasound probe delivers the ultrasound pulse to remove deposits from the one or more components of the engine.

Abstract: An ultrasound imaging system, a method for ultrasound imaging and a non-transitory computer readable medium that stores instructions executable by one or more processors to perform the method for ultrasound imaging are presented. The method includes convolving one or more base ultrasound pulses corresponding to a particular frequency with a desired code to generate an extended excitation wave. Further, the extended excitation wave is transmitted to a broadband ultrasound transducer to be transmitted towards the target. Subsequently, echo signals reflected back from the target in response to the extended excitation wave are received and de-convolved. One or more ultrasound images of the target corresponding to multiple frequencies are generated based on the de-convolved echo signals.

Abstract: A bandsaw machine health monitoring system includes a sensing module, a signal processing module, a human-machine interface module and a control module. The sensing module may include a plurality of sensing devices and these sensing devices can collect a plurality of signals from a bandsaw machine in operation. The signal processing module can be electrically connected to the sensing module and the signal processing module can process the signals collected by the sensing module. The control module can analyze the processing result transmitted from the signal processing module. The human-machine interface module can receive the analysis result of the control module and display the health status value of the bandsaw machine.