Abstract: A method of testing a semiconductor device includes forming conductive bumps respectively on a plurality of bonding pads of the semiconductor device. The semiconductor device having the conductive bumps is supported on a substrate stage. A gripper having first and second holders spaced apart from each other is positioned over the conductive bump. The conductive bump is clamped between the first and second holders. The gripper clamping the conductive bump is reciprocated at a constant speed with a predetermined stroke in a horizontal direction parallel with an upper surface of the substrate stage. A reliability of the semiconductor device is determined by measuring a time point at which a crack occurs in an upper wiring connected to the bonding pad.

Abstract: Disclosed is an electronic device. The electronic device obtains a first histogram regarding a difference in gradation between adjacent pixels of an input image based on the first maximum output brightness, obtains a second histogram regarding a difference in gradation between the adjacent pixels of the input image based on the second maximum output brightness, obtains a third histogram regarding a difference in brightness between the adjacent pixels of the input image based on the first HVS recognition information, obtains a fourth histogram regarding a difference in brightness between the adjacent pixels of the input image based on the second HVS recognition information, and obtains a brightness value regarding the input image corresponding to the second maximum output brightness based on a difference between a first value obtained based on information on the first and third histograms and a second value obtained based on the second and fourth histograms.

Abstract: A display device is disclosed. The display device comprises: a storage configured to store output brightness information for each gradation according to brightness information of an image; and a processor configured to acquire target brightness corresponding to brightness information of an input image on the basis of the information stored in the storage, acquire a target light amount on the basis of a light amount of the input image, acquire a plurality of correction effects corresponding to a plurality of correction images by applying a plurality of gradation adjustment curves to the input image, acquire a gradation adjustment curve corresponding to the maximum correction effect among the plurality of correction effects, and adjust and output a gradation for each pixel of the input image on the basis of the acquired gradation adjustment curve.

Abstract: An electronic device and method for predicting whether a manufactured product will exhibit a potential defect by providing measurement information of a home appliance as input to a first learning network model and a second learning network model trained to predict whether the home appliance will exhibit a potential defect, applying a first weight to first prediction information output from the first learning network model and a second weight to second prediction information output from the second learning network model, identifying a probability that the home appliance will exhibit the potential defect based on weighted first prediction information of the first prediction information to which the first weight is applied and second prediction information of the second prediction information to which the second weight is applied. The first learning network model is a supervised learning network model and the second learning network model is an unsupervised learning network model.

Abstract: Disclosed is an electronic device. The electronic device obtains a first histogram regarding a difference in gradation between adjacent pixels of an input image based on the first maximum output brightness, obtains a second histogram regarding a difference in gradation between the adjacent pixels of the input image based on the second maximum output brightness, obtains a third histogram regarding a difference in brightness between the adjacent pixels of the input image based on the first HVS recognition information, obtains a fourth histogram regarding a difference in brightness between the adjacent pixels of the input image based on the second HVS recognition information, and obtains a brightness value regarding the input image corresponding to the second maximum output brightness based on a difference between a first value obtained based on information on the first and third histograms and a second value obtained based on the second and fourth histograms.

Abstract: A control method of an electronic device includes obtaining first demand information related to a service demand of a prediction target item at a first time point, the first time point being after a Last-time Buy (LTB) point of the prediction target item; obtaining inventory information on the prediction target item at the first time point; identifying at least one similar item based on a comparison between service demand characteristics of the at least one similar item and service demand characteristics of the prediction target item; obtaining similar item information related to a service demand of the identified at least one similar item; obtaining demand forecast information after the first time point on the prediction target item based on the first demand information and the similar item information; and identifying whether an abnormal state has occurred at the first time point by comparing the demand forecast information after the first time point and the inventory information.

Abstract: A display device is disclosed. The display device comprises: a storage configured to store output brightness information for each gradation according to brightness information of an image; and a processor configured to acquire target brightness corresponding to brightness information of an input image on the basis of the information stored in the storage, acquire a target light amount on the basis of a light amount of the input image, acquire a plurality of correction effects corresponding to a plurality of correction images by applying a plurality of gradation adjustment curves to the input image, acquire a gradation adjustment curve corresponding to the maximum correction effect among the plurality of correction effects, and adjust and output a gradation for each pixel of the input image on the basis of the acquired gradation adjustment curve.

Abstract: A mobile terminal according to the present disclosure may include a body, a light-emitting device provided within the body, a display unit disposed on a front surface of the body, and a corner region of which is formed in a curved surface, and a light guide plate disposed at a lower side of the display unit to guide light emitted from the light-emitting device to the display unit, and formed with a chamfer surface at a corner region facing the curved surface, wherein the light-emitting device is disposed adjacent to the chamfer surface to emit light toward the chamfer surface.

Abstract: A mobile terminal according to the present disclosure may include a body, a light-emitting device provided within the body, a display unit disposed on a front surface of the body, and a corner region of which is formed in a curved surface, and a light guide plate disposed at a lower side of the display unit to guide light emitted from the light-emitting device to the display unit, and formed with a chamfer surface at a corner region facing the curved surface, wherein the light-emitting device is disposed adjacent to the chamfer surface to emit light toward the chamfer surface.