Abstract: A public transport vehicle charging system is applied to multiple charging stations and an electric vehicle. The public transport vehicle charging system includes a server communicatively connected to the charging stations and the electric vehicle. The server is configured to establish a charging decision model according to multiple historical conditions and a transport schedule. The server is configured to calculate multiple ideal decisions according to the historical conditions and the transport schedule, so as to adjust multiple parameters in the charging decision model. When the electric vehicle drives toward a first charging station according to the transport schedule, the server is configured to input a current condition into the charging decision model, so as to selectively charge the electric vehicle by the first charging station. The current condition includes a current remaining power and a current position of the electric vehicle.

Abstract: An electric vehicle charging station management method using a blockchain is provided, including the following steps: obtaining a maximum charging and a discharging electric power of each electric vehicle in each to-be-planned pane; obtaining a charging and discharging electric power of each electric vehicle in each to-be-planned pane according to electric vehicle information corresponding to the electric vehicle, at least one purchase price, at least one winning bid price, and at least one maximum charging and discharging electric power; determining whether at least one overloaded pane is provided according to a total consumed electric power of a charging station in each time pane; and adjusting the purchase price of each overloaded pane when it is determined that at least one overloaded pane is provided and re-planning the charging and discharging electric power of the electric vehicle in each to-be-planned pane until it is determined that no overloaded pane is provided.

Abstract: In a microrunner structure, there are provided with components for a cleaning procedure required to conduct electrochemical sensing when a biosensor is activated for sensing; and a urine signal detection device that is a SoC (System on a Chip), which has a wireless transceiving circuit for receiving a urine measurement method and channel information transmitted from an intelligent device, and in turn, outputting a stimulus signal to trigger a biosensor or a non-biosensor in a multi-channel structure to conduct urine sense processing for a sensing area, as well as transmitting detection processing for a concentration of urine substances from the electrochemical sensing to the intelligent device through the wireless transceiving circuit to assess a risk index between a heart disease or diabetes and a kidney disease.

Abstract: A wristband pulse diagnosis instrument including two pulse diagnosis instrument units is provided. Each of the two pulse diagnosis instrument units includes a wristband body, a pressure sensor, a first adjusting mechanism, and a second adjusting mechanism. A connecting member is disposed at each of two sides of the wristband body, and the connecting members are used to selectively connect the two pulse diagnosis instrument units to each other. The pressure sensor is movably disposed on the wristband body via the first adjusting mechanism and the second adjusting mechanism. A depthwise movement of the pressure sensor is adjusted by the first adjusting mechanism for the pressure sensor to move to three pulse positions of floating, medium, and deep, and a lateral movement of the pressure sensor is adjusted by the second adjusting mechanism for the pressure sensor to move to three pulse positions of distal, mid, and proximal.

Abstract: The invention introduces a method for remotely diagnosing tongues based on deep learning, performed by processing unit, including: obtaining a medical-treatment request and medical-record information containing a shooting photo from a client apparatus over a network; inputting the shooting photo to a plurality of partial-detection convolutional neural networks (CNNs) to obtain a plurality of classification results of a plurality of categories, which are associated with a tongue of the shooting photo; displaying a screen of a remote tongue-diagnosis application on a display unit, which contains the classification results of the categories; obtaining a medical advice corresponding to the classification results of the categories; and replying with the medical advice to the client apparatus over the network.

Abstract: The invention introduces a method for diagnosing tongues based on deep learning, performed by processing unit of a tablet computer, including: obtaining a shooting photo through a camera module of the tablet computer; inputting the shooting photo to a convolutional neural network (CNN) to obtain classification results of categories, which are associated with a tongue of the shooting photo; and displaying a screen of a tongue-diagnosis application on a display panel of the tablet computer, where the screen includes the classification results of the categories.

Abstract: A medical system capable of artificial intelligence and Internet of Things includes a conditioner, a control terminal device and a computation device. A patient may perform a physiological tissue stimulation treatment through the conditioner, which may adjust a stimulation parameter according to a feedback result of the stimulation, and transmits a signal of a feedback result indicative of an abnormal stimulation through the Internet of Things to the control terminal device, which has a disease analysis module built therein capable of further identifying an abnormal signal indicative of a disease and the physiological tissue for the feedback result indicative of the abnormal stimulation, so that a medical caring staff adjusts the stimulation parameter for the conditioner with respect to the abnormal signal. Moreover, the medical caring staff may interact with the computation device through the control terminal device to perform a big data analysis for optimization of the stimulation treatment.

Abstract: In a microrunner structure, there are provided with components for a cleaning procedure required to conduct electrochemical sensing when a biosensor is activated for sensing; and a urine signal detection device that is a SoC (System on a Chip), which has a wireless transceiving circuit for receiving a urine measurement method and channel information transmitted from an intelligent device, and in turn, outputting a stimulus signal to trigger a biosensor or a non-biosensor in a multi-channel structure to conduct urine sense processing for a sensing area, as well as transmitting detection processing for a concentration of urine substances from the electrochemical sensing to the intelligent device through the wireless transceiving circuit to assess a risk index between a heart disease or diabetes and a kidney disease.

Abstract: The invention provides a signal synchronization device, which obtains electrocardiographic, heart sound signal calibration factors by performing time domain and frequency domain transformations for an electrocardiographic signal and a heart sound signal, and thereby performs calibration for the electrocardiographic signal and the heart sound signal to synchronize the electrocardiographic signal and the heart sound signal in time domain, such that a diagnosis rate for cardiovascular disease is increased. Moreover, the invention further provides a stethoscope with signal synchronization processing, an auscultation information output system and a symptom diagnosis system capable of signal synchronization.

Abstract: The invention provides a signal synchronization device, which obtains electrocardiographic, heart sound signal calibration factors by performing time domain and frequency domain transformations for an electrocardiographic signal and a heart sound signal, and thereby performs calibration for the electrocardiographic signal and the heart sound signal to synchronize the electrocardiographic signal and the heart sound signal in time domain, such that a diagnosis rate for cardiovascular disease is increased. Moreover, the invention further provides a stethoscope with signal synchronization processing, an auscultation information output system and a symptom diagnosis system capable of signal synchronization.

Abstract: A medical system capable of artificial intelligence and Internet of Things includes a conditioner, a control terminal device and a computation device. A patient may perform a physiological tissue stimulation treatment through the conditioner, which may adjust a stimulation parameter according to a feedback result of the stimulation, and transmits a signal of a feedback result indicative of an abnormal stimulation through the Internet of Things to the control terminal device, which has a disease analysis module built therein capable of further identifying an abnormal signal indicative of a disease and the physiological tissue for the feedback result indicative of the abnormal stimulation, so that a medical caring staff adjusts the stimulation parameter for the conditioner with respect to the abnormal signal. Moreover, the medical caring staff may interact with the computation device through the control terminal device to perform a big data analysis for optimization of the stimulation treatment.