Abstract: A blood pressure detection device manufactured by a semiconductor process includes a substrate, a microelectromechanical element, a gas-pressure-sensing element, a driving-chip element, an encapsulation layer and a valve layer. The substrate includes inlet apertures. The microelectromechanical element and the gas-pressure-sensing element are stacked and integrally formed on the substrate. The encapsulation layer is encapsulated and positioned on the substrate. A flowing-channel space is formed above the microelectromechanical element and the gas-pressure-sensing element. The encapsulation layer includes an outlet aperture in communication with an airbag. The driving-chip element controls the microelectromechanical element, the gas-pressure-sensing element and valve units to transport gas.

Abstract: A blood pressure device includes a first blood pressure measuring device, a second blood pressure measuring device, and a controller. The first blood pressure measuring device is to be worn on a first position of a wrist so as to obtain a first blood pressure information of the first position. The second blood pressure measuring device is to be worn on a second position of the wrist so as to obtain a second blood pressure information of the second position. The controller is electrically coupled to the first blood pressure measuring device and the second blood pressure measuring device so as to adjust tightness between the expanders and the user's skin, respectively. The controller receives, processes, and calculates a pulse transit time between the first blood pressure information and the second blood pressure information, and the controller obtains at least one blood pressure value based on the pulse transit time.

Abstract: An optical proximity correction (OPC) device and method is provided. The OPC device includes an analysis unit, a reverse pattern addition unit, a first OPC unit, a second OPC unit and an output unit. The analysis unit is configured to analyze a defect pattern from a photomask layout. The reverse pattern addition unit is configured to provide a reverse pattern within the defect pattern. The first OPC unit is configured to perform a first OPC procedure on whole of the photomask layout. The second OPC unit is configured to perform a second OPC procedure on the defect pattern of the photomask layout to enhance an exposure tolerance window. The output unit is configured to output the photomask layout which is corrected.

Abstract: A many-to-many state identification system of equipment names broadcasted from Internet-of-Things comprises IoT nodes and IoT mobile devices connecting the IoT nodes wirelessly. Each IoT node receives the sensed value of transducer on a machine element, determining whether the sensed value of transducer is abnormal. Next, the IoT node broadcasts an equipment identification name containing an existing gateway identification code and a state code of transducer showing whether the transducer is abnormal. When the IoT mobile device scans the equipment identification name broadcasted from the IoT node, a visual interface displays the state of IoT node by identifying the gateway identification code and the state code. Accordingly, before connecting the IoT mobile device to the IoT node, the state of transducer in the IoT node is acquired, allowing any IoT mobile device to monitor any transducer in a synchronous and many-to-many manner within the broadcasting area.

Abstract: A many-to-many state identification system of equipment names broadcasted from Internet-of-Things comprises IoT nodes and IoT mobile devices connecting the IoT nodes wirelessly. Each IoT node receives the sensed value of transducer on a machine element, determining whether the sensed value of transducer is abnormal. Next, the IoT node broadcasts an equipment identification name containing an existing gateway identification code and a state code of transducer showing whether the transducer is abnormal. When the IoT mobile device scans the equipment identification name broadcasted from the IoT node, a visual interface displays the state of IoT node by identifying the gateway identification code and the state code. Accordingly, before connecting the IoT mobile device to the IoT node, the state of transducer in the IoT node is acquired, allowing any IoT mobile device to monitor any transducer in a synchronous and many-to-many manner within the broadcasting area.

Abstract: A diagnostic device includes a data obtaining module and an analyzing module. The data obtaining module is configured to obtain a NC program block and receive condition data of an external device corresponds to the NC program block at the same time when the external device performs a NC program. The NC program block is a NC code of the NC program, the external device comprises a plurality of peripheral equipments, and the NC program block corresponds to at least one peripheral equipment of the peripheral equipments. If the condition data is abnormal, the analyzing module is configured to determine the at least one peripheral equipment of the peripheral equipments is abnormal based on the NC program block corresponding to the condition data which is abnormal.

Abstract: An electricity consumption predicting system includes a knowledge database, a decomposition module, a mapping module and a predicting module. The knowledge database stores model information. The module information records a corresponding relation between each of a plurality of NC program blocks and an electricity consumption value thereof. The decomposition module decomposes a processing program into the NC program blocks, and acquires processing information corresponding to the each of the NC program blocks. The mapping module generates a predictive block electricity consumption value of the each of the NC program blocks according to the NC program blocks, the corresponding processing information and the model information. The predicting module sums up the predictive block electricity consumption values corresponding to the NC program blocks to generate a predictive processing program electricity consumption value.

Abstract: The present disclosure provides a machine tool power consumption prediction system configured for predicting power consumption of a machine tool. The machine tool executes numerical control programs to produce parts, and various parameters are included in each of the numerical control programs. The machine tool power consumption prediction system includes a power consumption database and a computer. The power consumption database stores power consumption data associated with different values of the parameters included in the numerical control programs. The computer is connected to the power consumption database to retrieve the power consumption data, and generates a power consumption estimate associated with each of the numerical control programs to be executed by the machine tool.

Abstract: A method for filtering a vibration signal of a machine includes generating a control signal by a controller to control an operation process of the machine, sensing a vibration of the machine by a sensor in the operation process to output a sensing signal, reading the control signal and the sensing signal by a signal generating unit to generate a vibration signal concerned with the vibration according to the sensing signal, generating a filtering bench-mark point by a searching unit according to the control signal to gather characteristic signals and filtering vibration signals in a database by the searching unit according to the filtering bench-mark point, and filtering the vibration signal by a filtering unit according to characteristic signals and filtering vibration signals to generate a filtered vibration signal.

Abstract: A software roaming system, method and a computer readable storage medium thereof are disclosed herein. The software roaming system includes a first electronic device having a plurality of widget software. The first electronic device includes a device description data. The device description data includes virtual units corresponding to the widget software, wherein the first electronic device establishes the virtual units in accordance with a universal plug and play (UPNP) protocol. The first electronic device searches a second electronic device through an network in accordance with the UPNP protocol and copies a first widget software of the widget software and a runtime data thereof to the second electronic device, and thus the second electronic device installs the first widget software and recovers the runtime data.