Abstract: The present disclosure relates to an integrated circuit. The integrated circuit has a plurality of bit-line stacks disposed over a substrate and respectively including a plurality of bit-lines stacked onto one another. A data storage structure is over the plurality of bit-line stacks and a selector is over the data storage structure. A word-line is over the selector. The selector is configured to selectively allow current to pass between the plurality of bit-lines and the word-line. The plurality of bit-line stacks include a first bit-line stack, a second bit-line stack, and a third bit-line stack. The first and third bit-line stacks are closest bit-line stacks to opposing sides of the second bit-line stack. The second bit-line stack is separated from the first bit-line stack by a first distance and is further separated from the third bit-line stack by a second distance larger than the first distance.

Abstract: A method for manufacturing a device may include providing an ultra-high voltage (UHV) component that includes a source region and a drain region, and forming an oxide layer on a top surface of the UHV component. The method may include connecting a low voltage terminal to the source region of the UHV component, and connecting a high voltage terminal to the drain region of the UHV component. The method may include forming a shielding structure on a surface of the oxide layer provided above the drain region of the UHV component, forming a high voltage interconnection that connects to the shielding structure and to the high voltage terminal, and forming a metal routing that connects the shielding structure and the low voltage terminal.

Abstract: A monitoring system applied to a shaping machine having a high speed electricity meter. The monitoring system includes a current obtaining device and an analyzing device. The current obtaining device is coupled to the high speed electricity meter to obtain a plurality of current signals from the operated shaping machine and in respond to the shaping machine executes a machining program, the current obtaining device extracts current variation data from the current signals. The machining program corresponds to a piece of the current variation data. The piece of the current variation datum comprises a maximum current and an occurring time that the maximum current being recorded. The analyzing device is configured to calculate a gap, based on the maximum currents and the occurring times corresponding to at least two successive machining programs. In respond to the gap time exceeding a predetermined threshold, the analyzing device generates a warning signal.

Abstract: The present invention relates to a control system and control method. The control system is applied to a machine tool and includes a horizontal monitor unit, a temperature monitor unit, a temperature adjustment device and a controller. The horizontal monitor unit is configured to measure a horizontal angle of a table and the temperature monitor unit is configured to measure a temperature information of a sensing area in a machining device. The controller receives the horizontal angle and the temperature information, then generates a compensation signal to the temperature adjustment device to change the temperature of an adjusting area in the machining device so that the horizontal angle of the table and the vertical inclination of the machining device are orthogonal to each other.

Abstract: A data collecting system includes a management server, a number of data collecting chains. Each data collecting chain includes a computer connected to the management server, at least one sensor and a data acquisition (DAQ), coupled to the sensor(s) and connected to the computer through RS485, configured to acquire sensing data from the sensor(s) and transmit the sensing data to the computer. The DAQs are connected to the computers through a wireless backup transmission interface. The management server sends a first confirmation signal to the computers. When at least one of the computers does not respond to the first confirmation signal, the management server indicates the computers which have responded to the first confirmation signal to receive the sensing data from the DAQ(s) corresponding to the computer(s) which doesn't respond to the first confirmation signal through the wireless backup transmission interface.

Abstract: A machine diagnostic system includes a performance evaluating module, a machine adjusting module and multiple sensors. The performance evaluating module evaluates the performance value of a part of a machine prior to production and predicts whether the part can be used to complete multiple batches of semi-products. If yes, the machine adjusting module sets a set value of the machine so that the machine can complete the multiple batches of semi-products. When the batches of semi-products are processed by the machine, a real-time production data is generated. When the sensors detect that the real-time production data contains an abnormal state data, re-evaluating whether the machine can complete the remaining semi-products according to the set value. If yes, enabling the machine to continue processing the remaining semi-products according to the set value. If no, updating the set value of the machine.

Abstract: A monitoring system applied to a shaping machine having a high speed electricity meter. The monitoring system includes a current obtaining device and an analyzing device. The current obtaining device is coupled to the high speed electricity meter to obtain a plurality of current signals from the operated shaping machine and in respond to the shaping machine executes a machining program, the current obtaining device extracts current variation data from the current signals. The machining program corresponds to a piece of the current variation data. The piece of the current variation datum comprises a maximum current and an occurring time that the maximum current being recorded. The analyzing device is configured to calculate a gap, based on the maximum currents and the occurring times corresponding to at least two successive machining programs. In respond to the gap time exceeding a predetermined threshold, the analyzing device generates a warning signal.

Abstract: An evaluation system applied on shaping machine, in which the shaping machine has a controller and an electricity meter. The evaluation system includes a parameter obtaining device and an evaluation device. The parameter obtaining device communicatively coupled to the controller and the electricity meter. The parameter obtaining device is configured to obtain a plurality of parameter data regarding a machining program from the controller and the electricity meter. The evaluation device is electrically coupled to the parameter obtaining device, the evaluation device configured to transform the parameter data into numerical parameters to extract a bolster plate position value and a motor current value, multiply the bolster plate position value and the motor current value with weights and sum up the weighted bolster plate position value and the weighted motor current value as an evaluation score.

Abstract: A safety status sensing system and a safety status sensing method thereof are provided. A first wearable sensing device periodically transmits a first safety status message to the LoRa host. After determining no message received from the first wearable sensing device within a first time period, the LoRa host issues a first alarm message and determines an off-line location of the first wearable sensing device according to the first device information of the first wearable sensing device. The LoRa host determines that the off-line location is within a communication coverage of the second wearable sensing device, and transmits the first device information to the second wearable sensing device. The second wearable sensing device transmits a point-to-point communication signal to the first wearable sensing device according to the first device information.

Abstract: An adjusting method is implemented by a control system and is used to adjust a multi-axis robotic arm including a plurality of motors. The adjusting method includes following operations. A decay rate of each motor is analyzed by the control system. When the decay rate of one of the motors exceeds a corresponding first threshold, a residual value of the one of the motors is further analyzed by the control system. When the residual value exceeds a first default value, an output capacity of at least one of the motors is adjusted by the control system.

Abstract: An adjusting method is implemented by a control system and is used to adjust a multi-axis robotic arm including a plurality of motors. The adjusting method includes following operations. A decay rate of each motor is analyzed by the control system. When the decay rate of one of the motors exceeds a corresponding first threshold, a residual value of the one of the motors is further analyzed by the control system. When the residual value exceeds a first default value, an output capacity of at least one of the motors is adjusted by the control system.

Abstract: A adjustment system for machining parameter includes a storage device and a processor. The processor includes a mapping module and a prediction module. The mapping module determines a type of a tool under test. When the type of the tool under test is determined as the same as the type of the first cutting tool, the mapping module obtains the first machining data from the database and as it as a reference data of the tool under test. When a machining program related to at least one of the NC program blocks is going to be executed for the tool under test, the prediction module predicts a predicted capacity loss value of the tool under test at a predetermined PRM while executing the machining program.

Abstract: The present disclosure provides a scheduling system and method. This method includes steps as follow. A communication device is connected to a plurality processing stations and receives instant process data of each processing station, where the instant process data includes a main program number and a processing time. According to target yield, delivery time and the instant process data of the processing stations, production line scheduling is calculated, and an estimated production is forecasted. It is determined that whether the actual production of the production line scheduling matches the estimated production. When the actual production is lower than the estimated production, based on the instant process data, a bottleneck station is determined from the processing stations. The machine diagnosis is performed on the bottleneck station to identify an abnormal cause.

Abstract: An anti-collision system uses for preventing an object collide with automatic robotic arm. Wherein, the automatic robotic arm includes a controller. The anti-collision system includes a first image sensor, a vision processing unit and a processing unit. The first image sensor captures a first image. The vision processing unit receives the first image, recognizes the object of the first image and estimates an object movement estimation path of the object. The processing unit is coupled to the controller to access an arm movement path. The processing unit estimates an arm estimation path of the automatic robotic arm, analyzes the first image to establish a coordinate system, and determines whether the object will collide with the automatic robotic arm according to the arm estimation path of the automatic robotic arm and the object movement estimation path of the object.

Abstract: The present disclosure provides warm-up compensation system and method. This method includes steps as follow. Critical area of a machine is analyzed, where the critical area includes a plurality of critical temperature-sensitive blocks and at least one critical heating block. Then, temperature sensors are used to detect the temperature of the critical areas of the machine. The correspondence relationship among temperature changes of critical areas, tilt angle changes of a spindle of the machine and temperature changes of the at least one critical heating block along heating time. The critical area of the machine is compensated in accordance with the correspondence relationship. Whether the temperature of the spindle has reached equilibrium is determined.

Abstract: A technology trend predicting method includes: searching a patent database to acquire a plurality of patent data corresponding to a specific technology; generating first patent information; receiving a plurality of commercial data from a commercial database; establishing one commercial model according to the plurality of commercial data and at least one weighting; utilizing the at least one commercial model to generate commercial trend information corresponding to the first patent information according to a plurality of target commercial data associated with the plurality of patent data; generating second patent information according to the commercial trend information; receiving a plurality of predicting commercial data from the commercial database; generating third patent information according to the plurality of predicting commercial data; and generating technology trend predicting information according to the first patent information, the second patent information, and the third patent information.

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: A tool measurement method includes receiving, through a first communication component, at least one first sensing signal from a tool sensor; receiving, through a second communication component, a plurality of coordinates from a machine tool controller; calculating a tool diameter of a cutting tool according to at least first one target coordinate of the coordinates, wherein the at least one first target coordinate corresponds to the first sensing signal; and providing, through the second communication component, the tool diameter of the cutting tool to the machine tool controller.

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.