Abstract: Provided are a computing-in-memory (CIM) device and a neural network device with a computational layer. The CIM device includes an input conversion module configured to receive signed input data and convert the signed input data into unsigned input data, a CIM including multiple memory cells for separately storing weights and configured to receive the unsigned input data, perform a multiply-accumulate (MAC) operation between the unsigned input data and the stored weights, and output output data, and an output conversion module configured to output compensated output data by compensating the output data for a computational error. Accordingly, it is possible to efficiently perform neural network computation on a signed multibit input while minimizing an increase in size, computational complexity, and structural changes.

Abstract: A battery module includes a plurality of battery cells; a module housing accommodating the plurality of battery cells, the module housing including a first frame configured to cover a lower part of the battery cells and a second frame configured to cover an upper part of the battery cells; and a potting glue in at least a part of an internal area of the first frame.

Abstract: A battery pack includes a pack case; and two cell module assemblies. Each of the two cell module assemblies having cylindrical battery cells and a cell frame accommodating the respective cylindrical battery cells, and being integrally accommodated in the pack case. The two cell module assemblies are configured such that the top caps of the cylindrical battery cells face each other with at least a predetermined minimum safety distance therebetween.

Abstract: Provided is a method for predictive maintenance for an apparatus, which allows inducing maintenance at an appropriate time, based on an energy waveform indicating changes over time in the energy for an operation of the apparatus in drive, by extracting a start point, an end point, and a peak point, respectively, indicating the beginning and the end of the energy waveform, and the highest energy value; detecting angles of a start point connection line and an end point connection line, each connecting the extracted points, as to a horizontal line; determining critical angles for the detected angles; comparing, with the relevant critical angles, the angles of the start point connection line and the end point connection line regarding the start, end, and the peak points, extracted from the energy waveform in real time, as to the horizontal line; and issuing a warning when abnormal symptoms in the apparatus are detected.

Abstract: Disclosed is an integrity index detecting method for a device by means of a control output signal including an integrity information collecting step S10 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a defect information collecting step S20 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a setting step S30 of setting an integrity reference value and a defect reference value for the time interval between the control output signals; a detecting step S40 of measuring and collecting the time interval value between a control output signal and a subsequent control output signal; and an outputting step S50 of outputting the integrity index value detected in the detecting step S40 to provide the integrity index value to the manager.

Abstract: A battery pack includes a lower case defining a first space having a predetermined size; an upper case at an upper part of the lower case to be fastened to the lower case, the upper case defining a second space; at least one module frame in the first space of the lower case and the second space of the upper case, the module frame defining a battery cell receiving recess; and a battery cell in the battery cell receiving recess. An impact attenuation member configured to protect the module frame from external impact is disposed between an outer surface of the module frame and an inner surface of the lower case.

Abstract: A battery module includes a plurality of battery cells, a cell frame configured to receive the plurality of battery cells, a busbar configured to connect the plurality of battery cells to each other in series and/or in parallel, and a bonding wire configured to electrically connect the battery cells to the busbar. The busbar includes one or more first busbars located at an upper part of the cell frame and two second busbars located at opposite side surfaces of the cell frame. The cell frame and the busbar are integrally formed by insert injection molding.

Abstract: A method for a device, including an integrity information collecting step S10 of measuring and collecting a time consumed from a start time of one operation to an end time in a normal state of a device; a defect information collecting step S20 of measuring and collecting a time consumed from a start time of one operation to an end time in a state of a device; a setting step S30 of setting an integrity reference value and a defect reference value for the time consumed for one operation of the device; a detecting step S40 of measuring and collecting a time value consumed from a start time of an operation of the device to an end time in real time and detecting an integrity index value of the device; and an outputting step S50 of outputting the integrity index value.

Abstract: A battery pack is provided including at least one rechargeable secondary battery; a battery frame having a battery accommodation portion configured to accommodate the at least one secondary battery; a packaging member provided in the form of an adhesion sheet having an adhesive surface formed at one surface thereof, the packaging member including a body portion fixedly adhered to an upper portion of the secondary battery accommodated in the battery frame and a fixing portion bent and extended downward from the body portion and having the adhesive surface fixedly adhered to an outer surface of an outermost edge of the battery frame; and an anti-noise member attached to at least one portion of the adhesive surface of the packaging member.

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: The present invention relates to an integrity index detecting method for a device by means of a control output signal which, after establishing an integrity index reference table based on an integrity reference value set based on information collected from a normal device and a defect reference value set based on information collected from a device before a malfunction occurs, outputs an integrity index value indicating an integrity of the device in real time by applying a gradient value with respect to a time interval value between control output signals collected from the device in real time to the integrity index reference table to provide the integrity index value to a manager.

Abstract: There is provided a computation apparatus located in a memory module and configured to perform computation with data stored in the memory, the computation apparatus including: a plurality of word lines to which an input is provided; a plurality of unit arrays which store a weight having a sign and perform a multiplication operation on the input provided from the word line and the weight; and an accumulation line connected to the plurality of unit arrays and on which results of the multiplication operations performed by the plurality of unit arrays are accumulated, wherein each of the plurality of unit arrays includes a source follower amplifier including a ferroelectric transistor configured to output a voltage corresponding to a result of the multiplication operation with respect to an input voltage provided to the word line.

Abstract: A battery module according to embodiments of the present disclosure may include battery cells having a battery can and a top cap coupled to the battery can; a cell frame provided to accommodate and fix the battery cells therein; bus bar plates spaced apart from each other and disposed on an outer side of the cell frame and electrically connected to the battery cells; and an inter connection board (ICB) assembly having sensing plates electrically connected to the bus bar plates, respectively, and mounted on another outer side of the cell frame, wherein each of the bus bar plates and each of the sensing plates have portions that overlap vertically and are fixed so as not to move relative to each other, and are electrically connected by a conductive wire.

Abstract: Discussed is a battery module, and more particularly, to a battery module in which an inner space between a battery cell and a metal plate is filled with a heat transfer member so that conduction of heat generated in the battery cell is improved.

Abstract: A laser transmission characteristic value determination method for determining an appropriate transmission characteristic value of a laser so that a marked letter becomes a predetermined font size or more when marking a letter on a surface of a heat shrinkable tube formed on the outer periphery of a battery cell.

Abstract: A method for predictive maintenance of equipment via a distribution chart is disclosed. Peak values are extracted based on a change in an amount of energy required for performing a work process by the equipment in a normal state, a distribution chart of the extracted peak values is constructed, and an abnormal symptom of the equipment is predictively detected in advance based on a change in distribution probability of a detection section having a low distribution probability and somewhat high risk in the constructed distribution chart thereof such that maintenance and replacement of the equipment are induced to be carried out at an appropriate time. Thus, an enormous monetary loss caused by a failure in the equipment may be prevented in advance.

Abstract: A method for learning and detecting an abnormal part of a device through artificial intelligence comprises: an information collection step for collecting a current waveform of a current value that changes over time in a driving state of at least one device and collecting information about a faulty part of the device, together with current waveform information before a fault occurs in the device; a model setting step for learning, by a control unit, information collected in the information collection step and setting a reference model of a current waveform for each faulty part of the device; and a detection step for, when an abnormal symptom of the device is detected in a real-time driving state, comparing, by the control unit, a real-time current waveform of the device and the reference model, and detecting and providing an abnormal part regarding the abnormal symptom of the device.

Abstract: A server rack predictive maintenance method comprises: an information collecting step of measuring and collecting the value of power consumed by a main wire for supplying power to a fan and pieces of equipment in a normal operating state of a server rack in which the internal temperature and humidity are maintained to be constant through the fan; an alarm setting step of setting the average current value of the server rack on the basis of the value of power collected in the information collecting step, and setting the alarm current value to be smaller than the set average current value; and a detecting step of detecting the server rack as an abnormal state when the value of power consumed by the main wire, having been measured in a real-time operating state of the server rack, is formed less than the alarm current value.

Abstract: The present invention relates to a method for maintaining a predictive value of a device through a control output signal, and there is an effect that operating information of a device in a normal state and operating information of a device shown before a malfunction occurs are collected, a distrust slope value is set based on the collected information, a slope value depending on operating information of the device collected in real time is compared with the distrust slope value, and a warning is given when a condition that an abnormal symptom of the device is doubted is satisfied to guide repairing and replacement of the device to be performed at an appropriate time, thereby preventing enormous loss of money due to the malfunction of the device in advance.

Abstract: A smart earth leakage circuit breaker is installed on a distribution line through which an electric current flows. The breaker measures, by means of a CT, a leakage current flowing through the distribution line, and if the measured current exceeds a preset rated sensitivity current, cuts off electricity by means of trip operation. The smart earth leakage circuit breaker further comprises: a measurement unit tracking and measuring, based on measurement information of the CT, a value of the leakage current exceeding an alarm current value; the MPU setting conditionality and the alarm current value less than the rated sensitivity current and when the conditionality is satisfied based on information measured by the measurement unit, issuing a warning by means of an alarm unit; and the alarm unit operated and controlled by the MPU and warning of an abnormal symptom of the distribution line.