Abstract: A supported metallocene catalyst includes a carrier and a metallocene component. The carrier includes an inorganic oxide particle and an alkyl aluminoxane material. The inorganic oxide particle includes at least one inorganic oxide compound selected from the group consisting of an oxide of Group 3A and an oxide of Group 4A. The alkyl aluminoxane material includes an alkyl aluminoxane compound and an alkyl aluminum compound that is present in amount ranging from greater than 0.01 wt % to less than 14 wt % base on 100 wt % of the alkyl aluminoxane material. The metallocene component is supported on the carrier, and includes one of a metallocene compound containing a metal from Group 3B, a metallocene compound containing a metal from Group 4B, and a combination thereof. A method for preparing the supported metallocene catalyst and a method for preparing polyolefin using the supported metallocene catalyst are also disclosed.

Abstract: In a method for driving a light-emitting diode (LED) device, a driving system is configured to: a) receive a number of driving signals, each corresponding to a period the LED device is to be activated; b) determine a number of repetitions for output of each of the driving signals; c) determine an average driving period for each of the driving signals; d) constructing a sequence list of driving signals to be sent to the LED device, the sequence list including a plurality of rows, each of the rows is numbered and includes two columns for containing respectively two entries of the driving signals therein; and e) sequentially transmit the two entries of the driving signals contained in each of the rows included in the sequence list to the LED device.

Abstract: In a method for driving a light-emitting diode (LED) device, a driving system is configured to: a) receive a number of driving signals, each corresponding to a period the LED device is to be activated; b) determine a number of repetitions for output of each of the driving signals; c) determine an average driving period for each of the driving signals; d) constructing a sequence list of driving signals to be sent to the LED device, the sequence list including a plurality of rows, each of the rows is numbered and includes two columns for containing respectively two entries of the driving signals therein; and e) sequentially transmit the two entries of the driving signals contained in each of the rows included in the sequence list to the LED device.

Abstract: A handheld gas sensing device and sensing method thereof are provided. The handheld gas sensing device includes a plurality of gas sensing chips and a gas collector. The plurality of gas sensing chips respectively include a sensing array, a sensing interface circuit, a microcontroller, and a memory. The gas signal is determined by the gas adsorption of the sensing array. The gas signal is converted to a visible operand by using the sensing interface circuit. The visible operand is projected to a hidden operand by utilizing the calculation of Continuous Restricted Boltzmnan Machine (CRBM). The plurality of gas sensing chips are connected with each other to do the multi-layer calculation of CRBM. The probability of the to-be-detected gas is obtained. The result is recorded in the memory.

Abstract: A medical ventilator capable of early detecting and recognizing types of pneumonia, a gas recognition chip, and a method for recognizing gas thereof are disclosed. The gas recognition chip of the medical ventilator comprises a sensor array, a sensor interface circuit, a stochastic neural network chip, a memory and a microcontroller. The sensor array receives a plurality of multiple types of gases to produce odor signals corresponding to each type of gas. The sensor interface circuit analyzes the odor signals to produce gas pattern signals corresponding to each type of gas. The stochastic neural network chip amplifies the differences between the gas pattern signals and performs dimensional reduction on the gas pattern signals to aid the analysis. The memory stores training data. The microcontroller performs a mixed gas recognizing algorithm to early detect and recognize the type of the pneumonia according to the gas training data.

Abstract: A medical ventilator capable of early detecting and recognizing types of pneumonia, a gas recognition chip, and a method for recognizing gas thereof are disclosed. The gas recognition chip of the medical ventilator comprises a sensor array, a sensor interface circuit, a stochastic neural network chip, a memory and a microcontroller. The sensor array receives a plurality of multiple types of gases to produce odor signals corresponding to each type of gas. The sensor interface circuit analyzes the odor signals to produce gas pattern signals corresponding to each type of gas. The stochastic neural network chip amplifies the differences between the gas pattern signals and performs dimensional reduction on the gas pattern signals to aid the analysis. The memory stores training data. The microcontroller performs a mixed gas recognizing algorithm to early detect and recognize the type of the pneumonia according to the gas training data.

Abstract: A speech communication system for patients having difficulty in speaking or writing comprises a display screen, a controller, a host having a storage unit for storing specific software and connected with the display screen, and a speaker connected with the host. A plurality of choices is presented on the display screen in a nine-square form or an English keyboard form for patients to select according to their needs. The controller is used for patients having difficulty in speaking or writing to move a cursor on the display screen to select any choice they need. The speaker is designed to output speech sounds of words or simple sentences in different languages corresponding to the choices patients select via the controller and thus make it possible for patients to communicate with others.