Abstract: An electromagnetic flowmeter includes a measurement tube having a mounting tube liner and a control module installed in an outer side of the measurement tube. A magnetic field module is installed in an outer side being orthogonal to a shaft of the measurement tube without contacting the working fluid. An electrode structure is disposed on an outer surface of the measurement tube and partially extended in the mounting tube liner to contact the working fluid. The actuator element is electrically connected with the control module and connected with the electrode structure. The actuator element is driven by an external force to drive the electrode structure toward the mounting tube liner inside and being orthogonal to the mounting tube liner for compensating the wear of the electrode structure so as to obtain a correct measurement result and increase the service life.

Abstract: An analyzing method and an analyzing system for manufacturing data are provided. The analyzing method includes the following steps. A plurality of models each of which has a correlation value representing a relationship between at least one of a plurality of factors and a target parameter are provided. The models are screened according to the correlation values. A rank information and a frequency information of the factors are listed up according to the models. The factors are screened according to the rank information and the frequency information. The models are ranked and at least one of the models is selected.

Abstract: An electromagnetic flowmeter includes a measurement tube having a mounting tube liner and a control module installed in an outer side of the measurement tube. A magnetic field module is installed in an outer side being orthogonal to a shaft of the measurement tube without contacting the working fluid. An electrode structure is disposed on an outer surface of the measurement tube and partially extended in the mounting tube liner to contact the working fluid. The actuator element is electrically connected with the control module and connected with the electrode structure. The actuator element is driven by an external force to drive the electrode structure toward the mounting tube liner inside and being orthogonal to the mounting tube liner for compensating the wear of the electrode structure so as to obtain a correct measurement result and increase the service life.

Abstract: A method of processing FMCW radar signal retrieves a configuring parameter set (120) corresponding to a working environment or a detected material, receives a reflection time-domain signal, executes a time-domain-to-frequency-domain converting process to the reflection time-domain signal for obtaining a reflection frequency-domain signal, executes the corresponded process on the reflection frequency-domain signal according to the configuring parameter set (120), and analyzes the processed reflection frequency-domain signal and generates a detecting result. The present disclosed example can effectively reduce the time of the development and the cost of manufacture via executing the corresponded process according to the configuring parameter set (120) corresponding to the working environment or the detected material.

Abstract: A manufacture parameters grouping and analyzing method, and a manufacture parameters grouping and analyzing system are provided. The manufacture parameters grouping and analyzing method includes the following steps: A plurality of process factors are classified into a plurality of groups. In each of the groups, an intervening relationship between any two of the process factors is larger than a predetermined correlation value. In each of the groups, at least one representative factor is selected from each of the groups according to a plurality of outputting relationships of the process factors related to an output factor or a plurality of sample amounts of the process factors. Finally, the representative factor is used for various applications.

Abstract: A liquid level sensing apparatus (10) for long-distance automatically enhancing a signal-to-noise ratio is applied to a measured target (20). The liquid level sensing apparatus (10) includes a sensing module (102), a long-distance command receiving module (104) and at least a brake module (106). The sensing module (102) transmits a sensing signal (108) to the measured target (20). The sensing signal (108) touches the measured target (20) to reflect back a reflected signal (110). The sensing module (102) receives the reflected signal (110) to measure the signal-to-noise ratio and to measure a height of the measured target (20). The long-distance command receiving module (104) is electrically connected to the sensing module (102). The long-distance command receiving module (104) receives a long-distance command signal (302). The brake module (106) is mechanically connected to the sensing module (102).

Abstract: The identification method of the difficulty level of the operating condition of the loader, takes the excavating operation segments extracted by the operation segment as the main objects of study to identify the operating conditions, and finally get the difficulty level value of the operating condition. The identification of the difficulty level of the operating condition is beneficial to control the power output mode of diesel engine and realize the distribution according to demand; simultaneously, as the judgement basis of intelligent shift control strategy, it has great significance for intelligent shift, power mode control and improving operation performance of engineering vehicles. It is also beneficial to the improvement of the performance and the energy saving and emission reduction; at the same time, the identification of the difficulty level of the operating condition is used to realize the change of power regulation, improve the application scope of engineering machinery.

Abstract: A method for analyzing a process output and a method for creating an equipment parameter model are provided. The method for analyzing the process output includes the following steps: A plurality of process steps are obtained. A processor obtains a step model set including a plurality of first step regression models, each of which represents a relationship between N of the process steps and a process output. The processor calculates a correlation of each of the first step regression models. The processor picks up at least two of the first step regression models to be a plurality of second step regression models whose correlations are ranked at top among the correlations of the first step regression models. The processor updates the step model set by a plurality of third step regression models, each of which represents a relationship between M of the process steps and the process output.

Abstract: A method for measuring a permittivity (?) of a material (30) includes following steps. A sensing rod (14) of a material level sensor (10) inserts into a tank (20). The material level sensor (10) proceeds with a material level measurement of the material (30) to obtain a first feature value. The material level sensor (10) is vertically moved with a vertical distance (Hair). The material level sensor (10) proceeds with the material level measurement to obtain a second feature value, and subtracts the first feature value by the second feature value to obtain a feature value variation, and calculates the feature value variation to obtain the permittivity (?) of the material (30).

Abstract: A UAV having a radar-guided landing function that helps the UAV to land on a landing station is disclosed. The UAV uses a GPS transceiving unit's positioning, and receives a flight path from an external source through a control unit to advance toward the landing station. When the UAV approaches a landing station, the control unit receives an activation signal and activates a landing radar to continuously transmit a frequency sweeping radar wave. When the frequency sweeping radar wave reaches the landing station, a reflected radar wave is generated, so that the landing radar receives the reflected radar wave and transmits it to the control unit. The control unit performs computation based on data related to the reflected radar wave and accordingly controls the UAV to land on the landing station.

Abstract: A semiconductor structure includes at least two via chains. Each via chain includes at least one first conductive component, at least one second conductive component and at least one via. The first conductive component has an axis along an extending direction of the first conductive component. The via connects the first conductive component to the second conductive component. The via has a center defining a shift distance from the axis of the first conductive component. The shift distances of the via chains are different. A testing method using such a semiconductor structure includes drawing a resistance-shift distance diagram illustrating a relationship between the resistances of the via chains and the shift distances of the via chains. At least one dimensional feature is obtained from the resistance-shift distance diagram.

Abstract: A radar level transmitter (1, 1a) includes a detection body (10, 10a), an antenna body (20, 20a) and a film sheet (30, 30a). The detection body (10, 10a) has a circuit board (12) being capable of emitting signals of detection and receiving reflected signals. One end of the antenna body (20, 20a) connects with the detection body (10, 10a). The film sheet (30, 30a) is combined with the antenna body (20, 20a) and covers another end of the antenna body (20, 20a); an airflow passes through the film sheet (30, 30a) for being capable of removing dusts adhered to the film sheet (30, 30a). Therefore, a radar level transmitter (1, 1a) with dust removing structures is achieved and a regular cleaning by personnel is not necessary.

Abstract: A liquid level sensing apparatus (10) for long-distance automatically enhancing a signal-to-noise ratio is applied to a measured target (20). The liquid level sensing apparatus (10) includes a sensing module (102), a long-distance command receiving module (104) and at least a brake module (106). The sensing module (102) transmits a sensing signal (108) to the measured target (20). The sensing signal (108) touches the measured target (20) to reflect back a reflected signal (110). The sensing module (102) receives the reflected signal (110) to measure the signal-to-noise ratio and to measure a height of the measured target (20). The long-distance command receiving module (104) is electrically connected to the sensing module (102). The long-distance command receiving module (104) receives a long-distance command signal (302). The brake module (106) is mechanically connected to the sensing module (102).

Abstract: A sensing apparatus includes a probe and a sensing module. The sensing module includes a material sensing circuit, an operation unit and a signal output circuit. The sensing module generates a frequency sweep signal and sends the frequency sweep signal to the probe to sense a status of a material. The frequency sweep signal is a plurality of signals having different frequencies from each other in a predetermined frequency range. When the frequency sweep signal touches the material, an equivalent capacitance of the material is utilized to generate a reflected signal. The material sensing circuit receives the reflected signal and sends the reflected signal to the operation unit. The operation unit operates the reflected signal to generate a waveform signal to determine the status of the material. The operation unit utilizes an impedance spectrum to determine the status of the material.

Abstract: A depth processing apparatus includes a depth buffer, an early depth processing circuit, a post depth processing circuit, and a depth processing controller. The depth buffer stores depth information of a plurality of pixels of a screen space. The early depth processing circuit performs early depth processing based on at least a portion of the depth information before a pixel shading stage. The post depth processing circuit performs post depth processing based on at least a portion of the depth information after the pixel shading stage. The depth processing controller manages a plurality of dependency indication values corresponding to a plurality of sub-regions in the screen space, respectively, and configured to control a first pixel for undergoing at least one of the early depth processing and the post depth processing by referring a first dependency indication value of a first sub-region in which the first pixel is located.

Abstract: A radar liquid level measuring apparatus (10) includes a first oscillation module (102), a second oscillation module (104), a frequency comparator (106) and a control module (107). The first oscillation module (102) has a first oscillation frequency. The first oscillation module (102) generates a first pulse signal (10202). The second oscillation module (104) has a second oscillation frequency. The second oscillation module (104) generates a second pulse signal (10402). The frequency comparator (106) converts the first pulse signal (10202) and the second pulse signal (10402) into an adjusted signal (10602). The control module (107) compares the adjusted signal (10602) with an expectation value (10818) to obtain a comparative result signal. According to the comparative result signal, the control module (107) adjusts the second oscillation frequency, so that the second oscillation frequency and the first oscillation frequency have a constant frequency difference.