Abstract: A parameter optimization device includes a data acquisition module, a sampling function calculation module, a clustering module and a parameter recommendation module. The data acquisition module is configured to acquire several input parameter values and corresponding several measurement output values. The sampling function calculation module is configured to obtain several sampling function values according to the input parameter values and the measurement output values. The clustering module is configured to obtain several parameter groups according to the input parameter values and the sampling function values. The parameter recommendation module is configured to obtain several recommended parameter values from at least one of the parameter groups.

Abstract: A data processing system, including a cyclic correlation establishing module, a data pattern establishing module, and a data pattern alignment module, is provided. The cyclic correlation establishing module receives a plurality of first sensor data, obtained from a first sensor operation performed on processing devices, and receives a table of processing steps and cyclic procedures. The cyclic correlation establishing module obtains a data correlation of the first sensor data according to the number of sample points in a data cycle of the first sensor data and the table to correct the first sensor data. The data pattern establishing module obtains a plurality of first data pattern features from the first sensor data. The data pattern alignment module aligns a plurality of second sensor data obtained from a second sensor operation performed on the processing devices with the first sensor data according to the first data pattern features.

Abstract: An ensemble learning prediction method includes: establishing a plurality of base predictors based on a plurality of training data; initializing a plurality of sample weights of a plurality of sample data and initializing a processing set; in each iteration round, based on the sample data and the sample weights, establishing a plurality of predictor weighting functions of the predictors in the processing set and predicting each of the sample data by each of the predictors in the processing set for identifying a prediction result; evaluating the predictor weighting functions, and selecting a respective target predictor weighting function from the predictor weighting functions established in each iteration round and selecting a target predictor from the predictors in the processing set to update the processing set and to update the sample weights of the sample data.

Abstract: A system and method for predicting remaining lifetime of a component of equipment is provided. The prediction system includes a data module, a feature module, a current data-based prediction module, a historical data-based prediction module, and a confidence module. The data module obtains a test sensor data of the component of equipment. The feature module obtains a historical health indicator and the current-health indicator. The current data-based prediction module obtains a first predicted remaining lifetime and a first prediction confidence according to the current-health indicator. The historical data-based prediction module obtains a second predicted remaining lifetime and a second prediction confidence according to the historical health indicator.

Abstract: A data processing system, including a cyclic correlation establishing module, a data pattern establishing module, and a data pattern alignment module, is provided. The cyclic correlation establishing module receives a plurality of first sensor data, obtained from a first sensor operation performed on processing devices, and receives a table of processing steps and cyclic procedures. The cyclic correlation establishing module obtains a data correlation of the first sensor data according to the number of sample points in a data cycle of the first sensor data and the table to correct the first sensor data. The data pattern establishing module obtains a plurality of first data pattern features from the first sensor data. The data pattern alignment module aligns a plurality of second sensor data obtained from a second sensor operation performed on the processing devices with the first sensor data according to the first data pattern features.

Abstract: The disclosure is directed to an ensemble learning prediction apparatus. The apparatus includes a loss module, a diversity module, a sample weight module, and an integrating weight module. The loss module, the diversity module and the sample weight module calculate a loss, a diversity and a sample weight, respectively. An ensemble weight is learned by an object function built by the loss, diversity and the sample weight. The integrating weight module calculates an adaptive ensemble weight by integrating the ensemble weight and previous ensemble weights at a plurality of previous time points.

Abstract: A prognostic method and a prognostic apparatus for a processing apparatus are provided. In the steps of the prognostic method, multiple sensor data of a component of the processing apparatus and a heterogeneous data are obtained, multiple health indicators of the component are obtained by the multiple sensor data, a regressive characteristic function and an adjustment function are obtained according to the health indicators, the adjustment function corresponds to the heterogeneous data, a prediction function of health indicator is obtained according to the regressive characteristic function and the adjustment function, and a predictive value of health indicator is obtained according to the prediction function of health indicator to estimate a usage status of the component.

Abstract: A rechargeable toner cartridge assembly includes a toner cartridge, a toner refilling bottle and a filter device. The toner cartridge includes a toner refilling hole and a connection portion, both of which are disposed on one end of the toner cartridge and penetrate through a housing of the toner cartridge. The toner refilling bottle contains toner, which is refilled into the toner cartridge through the toner refilling hole. The filter device connected to the connection portion filters the toner off a mixed gas overflowing from the toner cartridge to discharge clean air, wherein the toner cartridge and the filter device are two independent devices. The filter device and a rechargeable toner cartridge without a built-in inner air filter element are also provided.

Abstract: An ensemble learning prediction method includes: establishing a plurality of base predictors based on a plurality of training data; initializing a plurality of sample weights of a plurality of sample data and initializing a processing set; in each iteration round, based on the sample data and the sample weights, establishing a plurality of predictor weighting functions of the predictors in the processing set and predicting each of the sample data by each of the predictors in the processing set for identifying a prediction result; evaluating the predictor weighting functions, and selecting a respective target predictor weighting function from the predictor weighting functions established in each iteration round and selecting a target predictor from the predictors in the processing set to update the processing set and to update the sample weights of the sample data.

Abstract: A health assessment method and a health assessment device of a workpiece processing apparatus are disclosed. The health assessment method includes the following steps. Acquire a first sensing data related to the workpiece processing apparatus at an operation stage of the workpiece processing apparatus. Set the first sensing data as a substitution of a first transform model to acquire a virtual workpiece quality. Set the virtual workpiece quality as a substitution of a second transform model to acquire a first virtual apparatus health index.

Abstract: A rechargeable toner cartridge without an inner air filter passage includes a toner refilling hole and a connection portion. The toner refilling hole is an opening used to refill toner. Both of the connection portion and the toner refilling hole are disposed on one end of the toner cartridge, and penetrate through a housing of the toner cartridge. In the rechargeable toner cartridge, an air flow path from the toner refilling hole to the connection portion is a direct path without passing through an air filter element. A filter device matching and being used with the toner cartridge as well as a rechargeable toner cartridge assembly are also provided. This technology prevents air pollution or bad effects to human health while a user is refilling the toner into the rechargeable toner cartridge.

Abstract: A printer module includes a frame body, a drum, a print head and a print-head moving mechanism. The drum is detachably connected to the frame body. The print-head moving mechanism movably connected to the frame body moves the print head in a horizontal direction substantially perpendicular to a direction of gravity exerted on the print-head moving mechanism. The print-head moving mechanism includes: a shaft rotatably connected to the frame body; an actuating rod connected to the shaft and rotated to rotate the shaft; and an actuating member connected to shaft and rotated with rotation of the shaft, so that the print head is moved between a first position and a second position. Thus, the volume occupied by the printer module can be reduced, the user's operation can be simplified, the influence and interference of the gravity can further be eliminated to simplify the design of the print-head moving mechanism.

Abstract: A system and a method for predicting a remaining useful life (RUL) of a component of an equipment are provided. The system for predicting the RUL of the component of the equipment includes a data acquisition unit, a feature capturing unit, a mapping function generating unit, a similarity analyzing unit and a RUL calculating unit. The feature capturing unit obtains an estimation feature according to a real time sensing record, and obtains a plurality of training features according to a set of history sensing records. The similarity analyzing unit obtains k similar features which are similar to the estimation feature according to the training features. The RUL calculating unit obtains at least one of k predicting information via a mapping function according to the k similar features and calculates an estimation RUL according to at least one predicting value.

Abstract: An image forming apparatus includes a housing, a drum, a toner processing module and a first mounting space. The drum is disposed in the housing. The toner processing module supplies toners to the drum. The first mounting space accommodates a first print head. The first print head provides a light ray to perform a writing operation on the drum. When the first print head is present, the light ray of the first print head disposed in the first mounting space passes through an optical channel of the toner processing module to perform the writing operation on the drum. Thus, the optimum configurations of the print head and the drum can be achieved, to effectively reduce a size of the image forming apparatus and satisfy diversified requirements without spending a high cost.

Abstract: A printer module includes a frame body, a drum, a print head and a print-head moving mechanism. The drum is detachably connected to the frame body. The print-head moving mechanism movably connected to the frame body moves the print head in a horizontal direction substantially perpendicular to a direction of gravity exerted on the print-head moving mechanism. The print-head moving mechanism includes: a shaft rotatably connected to the frame body; an actuating rod connected to the shaft and rotated to rotate the shaft; and an actuating member connected to shaft and rotated with rotation of the shaft, so that the print head is moved between a first position and a second position. Thus, the volume occupied by the printer module can be reduced, the user's operation can be simplified, the influence and interference of the gravity can further be eliminated to simplify the design of the print-head moving mechanism.

Abstract: An image forming apparatus includes a housing, a drum, a toner processing module and a first mounting space. The drum is disposed in the housing. The toner processing module supplies toners to the drum. The first mounting space accommodates a first print head. The first print head provides a light ray to perform a writing operation on the drum. When the first print head is present, the light ray of the first print head disposed in the first mounting space passes through an optical channel of the toner processing module to perform the writing operation on the drum. Thus, the optimum configurations of the print head and the drum can be achieved, to effectively reduce a size of the image forming apparatus and satisfy diversified requirements without spending a high cost.

Abstract: A prognostic method and a prognostic apparatus for a processing apparatus are provided. In the steps of the prognostic method, multiple sensor data of a component of the processing apparatus and a heterogeneous data are obtained, multiple health indicators of the component are obtained by the multiple sensor data, a regressive characteristic function and an adjustment function are obtained according to the health indicators, the adjustment function corresponds to the heterogeneous data, a prediction function of health indicator is obtained according to the regressive characteristic function and the adjustment function, and a predictive value of health indicator is obtained according to the prediction function of health indicator to estimate a usage status of the component.

Abstract: A system and method for predicting remaining lifetime of a component of equipment is provided. The prediction system includes a data module, a feature module, a current data-based prediction module, a historical data-based prediction module, and a confidence module. The data module obtains a test sensor data of the component of equipment. The feature module obtains a historical health indicator and the current-health indicator. The current data-based prediction module obtains a first predicted remaining lifetime and a first prediction confidence according to the current-health indicator. The historical data-based prediction module obtains a second predicted remaining lifetime and a second prediction confidence according to the historical health indicator.

Abstract: The disclosure is directed to an ensemble learning prediction apparatus. The apparatus includes a loss module, a diversity module, a sample weight module, and an integrating weight module. The loss module, the diversity module and the sample weight module calculate a loss, a diversity and a sample weight, respectively. An ensemble weight is learned by an object function built by the loss, diversity and the sample weight. The integrating weight module calculates an adaptive ensemble weight by integrating the ensemble weight and previous ensemble weights at a plurality of previous time points.

Abstract: A fixation module comprises a body, a heater roller, a pressure roller, a separation claw assembly and a detector. The heater roller and the pressure roller are rotatably connected to the body. The pressure roller and the heater roller transport a medium and perform a fixation process on the medium. The separation claw assembly connected to the body exerts a pressure toward the heater roller. When the medium passes through a clearance between the heater roller and the separation claw assembly, the medium pushes the separation claw assembly away from the heater roller. The detector detects a state where the separation claw assembly is pushed away from the heater roller by the medium. A printing apparatus for transferring and fixing toners onto the medium and comprising the fixation module, a drum, a development roller and a transfer roller is also provided.