Abstract: Data is received that encapsulates a model of a solid object. The model includes a set of boundary surfaces that are approximately parallel to a medial surface of the solid object. Thereafter, a tetrahedral mesh is generated to represent an interior of the solid object with tetrahedral elements having nodes located on the boundary surfaces. Cuttings are generated for each tetrahedral element based on the nodes. These generated cuttings are used to construct a representation of the medial surface of the solid object. Related apparatus, systems, techniques and articles are also described.

Abstract: Disclosed is a serial-to-parallel converting apparatus. The serial-to-parallel converting apparatus includes: an input plate connected to positive electrodes and negative electrodes of a plurality of battery cells, respectively: an output plate spaced apart from the input plate and connected to an external terminal; a rotary plate rotatably interposed between the input plate and the output plate to electrically connect the input plate and the output plate, the rotary plate being configured to convert serial connection and parallel connection of the plurality of battery cells by rotating; and a case configured to accommodate the input plate, the output plate and the rotary plate.

Abstract: A battery module includes at least one battery cell array including a cell frame and a plurality of battery cells, each battery cell having electrode terminals disposed at both ends of each battery cell and oriented toward the same direction, the plurality of battery cells being disposed in a lateral direction when mounted in the cell frame; and a plurality of connection members attached to the electrode terminals of a respective battery cell of the at least one battery cell array at an upper portion, a lower portion, or both of the at least one battery cell array, wherein each connection member is a metal plate having at least three vertical slits that are spaced apart from each other and a horizontal slit that crosses at least one of the vertical slits.

Abstract: The present invention relates to a precise predictive maintenance method of a driver and the configuration includes: collecting slope information for a peak value between drive periods by connecting the peak value in a respective drive period in a driving state of the driver before a failure of the driver occurs; setting an alarm slope value for the peak value between the drive periods based on the collected slope information; and detecting, in a case where an average slope value for the peak value between the drive periods measured at a unit time interval set in a real-time driving state of the driver is more than the alarm slope value, the case as an abnormal state of the driver.

Abstract: Disclosed is an in-memory device for operation of a multi-bit weight. A multi-bit memory cell array according to an exemplary embodiment of the present invention includes at least one multi-bit unit which stores input data based on an input signal and outputs a per-group sum value summed for every group by applying a multi-bit weight to the stored input data; and a final summation unit which is connected to at least one multi-bit unit, adjusts a ratio for every group to receive the peer-group sum value, and outputs a final output value by summing the input per-group sum value.

Abstract: A cylindrical secondary battery including a cylindrical battery case configured to receive an electrode assembly and an electrolytic solution, a cap assembly located on the open upper end of the cylindrical battery case, and a jelly-roll type electrode assembly configured to have a structure in which a positive electrode sheet and a negative electrode sheet are wound in the state in which a separator is interposed therebetween, wherein a protective layer, made of a material that exhibits high thermal conductivity, is formed on at least a portion of the inner surface of the cylindrical battery case, including a crimping part is provided.

Abstract: The method of the present invention includes: an integrity information collection step of collecting a current amount for each of an inflow period, a constant period, and an outflow period; a first inferiority information collection step of collecting a current amount for each of the periods; a setting step of setting a warning value and a critical value in each of the periods based on the information collected; an extraction step of collecting a current amount, which is consumed when a workpiece is machined by the machine tool in real time, for each of the periods; a detection step of detecting an integrity index value of the machine tool by detecting the number of times that the current amount of the periods collected exceeds the warning value and the critical value in each of the periods; and an outputting step of outputting the integrity index value detected.

Abstract: The method of the present invention includes: an integrity information collection step of collecting a current amount; a first inferiority information collection step of collecting a current amount; a setting step of setting an integrity reference value and an inferiority reference value on the basis of the information collected; an extraction step of collecting a current amount in real time, and extracting a measurement value from the collected information; a detection step of detecting an integrity index value of the machine tool by comparing the measurement value extracted with the integrity reference value and the inferiority reference value set in the setting step; and an outputting step of outputting the integrity index value detected.

Abstract: Disclosed is a method for detecting an integrity index of a driving unit, including: an integrity value setting step of setting an integrity reference value on the basis of information on power consumed in a normal driving section of a driving unit; a defective value setting step of setting a defective reference value on the basis of information on power consumed in a driving section of the driving unit before a failure occurs; a measurement value extraction step of extracting a measurement value from information on power consumed in a driving section measured in a real-time driving state of the driving unit; a detection step of comparing the measurement value extracted in the measurement value extraction step with the integrity reference value and the defective reference value and detecting an integrity index value of the driving unit; and an output step of outputting the integrity index value detected in the detection step and providing same to an administrator.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval from the change information of the energy size, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting an energy value of a second peak of a driving period to an energy value of a second peak in repetitive another driving period; a setting step S30 of setting an alarm gradient value for the second peak energy value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of dividing change information of an energy size, a second base information collecting step S20 of connecting a peak interval between a highest point and a lowest point of a driving period in a driving state of the driving unit; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting a peak interval between a starting point and an ending point; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: Discussed is a hook coupling structure and a battery pack case using the hook coupling structure, and the hook coupling structure includes an upper structure body comprising a hook part that extends downward from an edge thereof and has an end portion bent to an inside thereof; and a lower structure body comprising a protrusion part and coupled to the upper structure body, the protrusion part being lifted upward from an edge thereof and disposed inside the hook part, wherein the lower structure body further comprises a locking projection that is formed, at a position corresponding to an upper portion of the hook part of the upper structure body, by protruding an inner surface of the lower structure body outward, and wherein the hook part is inserted between the locking projection and the protrusion part to establish a coupling.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and the configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size in accordance with a time measured in a normal driving state of the driving unit; a second base information collecting step S20 of collecting a peak interval; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the peak interval; and a detecting step S40 of measuring a peak interval.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of collecting energy values; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the energy values; and a detecting step S40 of measuring energy values and detecting the driving unit to be an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting an energy value of a second peak of a driving period to an energy value of a second peak in repetitive another driving period; a setting step S30 of setting an alarm gradient value for the second peak energy value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of dividing change information of an energy size, a second base information collecting step S20 of connecting a peak interval between a highest point and a lowest point of a driving period in a driving state of the driving unit; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting a peak interval between a starting point and an ending point; a setting step S30 of setting an alarm gradient value, and a detecting step S40 of detecting the driving unit as an abnormal state.