Abstract:
An apparatus for measuring real-time plasma density includes, at least one plasma density measurement sensor in a process chamber, the at least one plasma density measurement sensor being configured to sense a plasma current between a first electrode and a second electrode when plasma is generated, and to generate an optical signal in response to the plasma current, and an optical signal detector on a side surface of the process chamber, the optical signal detector being configured to detect the optical signal from the at least one plasma density measurement sensor.
Abstract:
An apparatus and a method predict a patient's potential change of Coronary Artery Calcification (CAC) level using various risk factors including a Coronary Artery Calcification Score (CACS). The apparatus includes a receiving unit, a cluster determining unit, a risk factor score extracting unit, a prediction model storage unit, a prediction model learning unit, and a predicting unit, and the method includes a receiving process, a risk factor score extracting process, and an operation performing process.
Abstract:
A vertical semiconductor device may include may include a substrate, a stacked structure, an insulating interlayer, a buffer pattern and a first contact plug. The stacked structure may include insulation patterns and conductive patterns stacked on each other on the substrate. The conductive patterns may extend in a first direction parallel to an upper surface of the substrate, and edges of the conductive patterns may have a staircase shape. The conductive patterns may include pad patterns defined by exposed upper surfaces of the conductive patterns. The insulating interlayer may cover the stacked structure. The buffer pattern may be on the insulating interlayer. The first contact plug may pass through the buffer pattern and the insulating interlayer. The first contact plug may contact one of the pad patterns. The buffer pattern may reduce defects from forming the first contact plug.
Abstract:
An apparatus and a method predict an upcoming stage of carotid stenosis. The apparatus includes a receiving unit, a cluster determining unit, a risk factor score extracting unit, a prediction model storage unit, and a predicting unit. The method includes receiving a patient's medical test data relating to carotid stenosis; determining a cluster to which the patient's medical test data belong based on a gender of the patient; extracting from the patient's medical test data a risk factor score comprising a result of carotid stenosis ultrasonography; storing a plurality of prediction models used to predict an upcoming stage of carotid stenosis; and obtaining an outcome by applying a value indicating a stage of carotid stenosis corresponding to the result of carotid stenosis ultrasonography and the extracted risk factor score to the prediction model corresponding to the determined cluster among the plurality of prediction models.
Abstract:
A plasma sensor module may include an upper substrate, a lower substrate, at least one probe and a printed circuit board (PCB). The upper substrate may be configured to be exposed to plasma. The lower substrate may contact a lower surface of the upper substrate. The lower substrate may have a thickness that is thicker than a thickness of the upper substrate. The probe may be in the lower substrate. The PCB may be in the lower substrate. The PCB may be configured to apply an alternating current to the probe to detect a density of the plasma. Thus, the structural strength of the plasma sensor module may have improved structural strength.
Abstract:
A method and audio apparatus for processing an audio signal are provided. The audio apparatus includes at least one microphone to acquire ambient sound of the audio apparatus, a speaker to output the audio signal, an air pressure regulator including a fluid tube connecting an external space of a housing of the audio apparatus to an internal space of the housing, and configured to adjust a change in an air pressure of the internal space of the housing and an audio signal processor configured to generate an anti-noise signal for canceling noise in the ambient sound by using the acquired ambient sound and output the generated anti-noise signal and the audio signal through the speaker.
Abstract:
An apparatus and a method predict a patient's potential change of Coronary Artery Calcification (CAC) level using various risk factors including a Coronary Artery Calcification Score (CACS). The apparatus includes a receiving unit, a cluster determining unit, a risk factor score extracting unit, a prediction model storage unit, a prediction model learning unit, and a predicting unit, and the method includes a receiving process, a risk factor score extracting process, and an operation performing process.
Abstract:
A method of predicting a potential degree of Coronary Artery Calcification (CAC) risk includes receiving a patient's medical test data relating to CAC; determining a cluster to which the patient's medical test data belong based on an age of the patient; extracting a risk factor score including at least two Coronary Artery Calcification Scores (CACSs) from the medical test data; storing a plurality of prediction models used for predicting a potential degree of CAC risk; and predicting a potential degree of CAC risk at a specific point in time by applying a CACS growth rate of the patient's medical test data calculated using the at least two CACSs of the patient's medical test data and the extracted risk factor score to a prediction model corresponding to the determined cluster to which the patient's medical test data belong among the plurality of prediction models.