Abstract: A training system and a training method of reinforcement learning are disclosed. The training system includes a first computer device and a second computer device, and the computing power of the second computer device is better than that of the first computer device. The first computer device stores a reinforcement learning model; receives input data; and feeds the input data into the reinforcement learning model to generate a first output result. The second computer device stores a supervised learning model; receives the input data from the first computer device; feeds the input data into the supervised learning model to generate a second output result; and transmits the second output result to the first computer device. The first computer device further generates reward data according to the first output result and the second output result, and trains the reinforcement learning model according to the reward data.

Abstract: The data allocating system, which is applied on a relational data node and distributed data nodes, includes a memory and a processor. The processor accesses a set of instructions from the memory and executes the set of instructions. The processor includes a correlation analyzing module, a query analyzing module, a performance analyzing module, and a decision module. The correlation analyzing module generates a correlation result according to a correlation of tables stored in the relational data node. The query analyzing module generates a query result according to queries in the log reports of the relational data node. The performance analyzing module generates a performance result according to execution times of the query result being executed by each of the distributed data nodes. The decision module selects the tables to be transferred to the distributed data nodes according to the correlation result, the query result and the performance result.

Abstract: A section procedure tracking method comprises following steps: storing a plurality of process objects from a plurality of machines; calculating a plurality of basic process values according to a tension information, a length information, a speed information and a timing information of the process objects in a basic sequence; calculating an average basic value according to the basic process values; calculating a plurality of extra process values according to the tension information, the length information, the speed information and the timing information of the process objects in an extra sequence; calculating an average extra value according to the extra process values; selecting one of the average basic value and the average extra value having the smaller value; and selecting a search path corresponding to the smaller one of the average basic value and the average extra value as a process search order.

Abstract: A textile machine adjustment method is provided. An operating speed of a textile machine within an operating range is set by a processor according to the basic information of the fabric. A motion image of the fabric and the vibration characteristics of the yarns are recorded by a video camera. The operating speed of the textile machine is adjusted at least once, and the vibration characteristics of the yarns is analyzed after each adjustment of the operating speed. Multiple correlation factor functions and the relative weights of the multiple factors related to the operating speed of the textile machine are recorded. The relative weights of the multiple factors are adjusted according to a yield quality of the fabric. When an expected value is met, the fabric continues to be produced at the current operating speed; otherwise, the relative weights of multiple factors are adjusted to correct the operating speed.

Abstract: A database transformation server and a database transformation method thereof are provided. The database transformation server receives a plurality of rational data schema information and a rational database log. The database transformation server analyzes the rational data schema information for generating a rational table relation information, and analyzes the rational database log for generating rational table statistics information corresponding to rational data tables. The database transformation server transforms the rational data schema information into at least one piece of non-rational data schema information according to the rational table relation information, and adjusts the at least one piece of non-rational data schema information according to the rational table statistics information.

Abstract: A data processing server and a data processing method thereof are provided. The data processing server includes a database, a non-real time data processing module and a real time data processing module. The database records a first data processing function. The non-real time data processing module receives data stream and analyzes the data stream according to the first data processing function for generating at least one first data weight. The real time data processing module receives the data stream and updates a real time data processing configuration according to the first data processing function and the at least one first data weight. The real time data processing module analyzes the data stream according to the real time data processing configuration for generating a real time data output.

Abstract: A physiology monitoring system and a physiology monitoring method are disclosed. The physiology monitoring system includes a physiological information sensor, a data analysis device and an application service system. The physiological information sensor is suitable for sensing physiological information of a user. The data analysis device is suitable for receiving data of the physiological information from the physiological information sensor, calculating a plurality of data features of the data, determining whether each data feature has an alert condition event, calculating occurrence probabilities of a plurality of critical condition events or a plurality of physiology condition events by using the corresponding alert condition event or events, and determining a critical condition or a physiology condition of the user according to the occurrence probabilities. The application service system can provide the user with a service according to the critical condition or a physiology condition of the user.

Abstract: The present invention related to a vital sign sensing system, a vital sign obtaining device, and a disposable device. The vital sign sensing system includes the vital sign obtaining device and the disposable device. The disposable device includes an elasticity stopper and a movable fastener. The vital sign obtaining device includes a protrusion. The movable fastener is assembled on the elasticity stopper so that the elasticity stopper is showed a flexion state. In a first procedure that the disposable device is assembled to the vital sign obtaining device, the movable fastener is uninstalled from the elasticity stopper by the protrusion, and the elasticity stopper is converted from the flexion state to an expansion state so as to prevent the disposable device from being reused in vital sign obtaining device.