Abstract: A ball and a valve seat for a fuel injector, and a method for coating the same are provided to form a Ta—C:H—SiO functional layer having a low frictional characteristic as the outermost layer to reduce a frictional coefficient. A Mo-based material is applied to a bonding layer and a supporting layer for bonding and supporting the Ta—C:H—SiO functional layer is applied to a base material to improve heat resistance. Accordingly, only pure ionic Mo particles are deposited to form the bonding layer and the supporting layer, thereby increasing an adhesive force and a bonding force to improve durability.

Abstract: Disclosed are a component for a fuel injector and a method for coating the same. The component for the fuel injector may include a base material, a bonding layer laminated on the base material, a support layer laminated on the outer surface of the bonding layer, and an NbSiCN functional layer including an NbCN layer and an SiCN layer and alternately laminated on the outer surface of the support layer, thereby reducing friction, high hardness, shock resistance, heat resistance, and durability of the component for the fuel injector.

Abstract: Provided are a washing apparatus that is capable of being operated in an Internet of Things (IoT) environment over a 5G communication network and estimating additional laundry that is introduced and the amount of detergent that is additionally introduced based thereon through a neural network model generated based on machine learning, and a method of controlling the same.

Abstract: An apparatus and a method for predicting freezing of a washing machine, which predicts freezing of the washing machine based on a change of air temperature through an artificial intelligence algorithm and provides a freeze prediction result to a user terminal associated with the washing machine in a 5G environment, thereby preventing freezing of the washing machine. The apparatus for predicting freezing of the washing machine determines, based on temperature data sensed by a temperature sensor disposed in the washing machine and air temperature data received from a meteorological administration server, an association of temperature change of the washing machine according to the air temperature data, through the freezing prediction algorithm, and predicts freezing of the washing machine based on the association of temperature change of the washing machine and an air temperature forecast received from the meteorological administration server.

Abstract: A washing machine capable of operating in an IoT environment through a 5G communication network and estimating the type and amount of injected detergent through a neural network model created according to machine learning, and a method of controlling the washing machine, are provided. The washing machine may include a first tub into which laundry is loaded, a water supplier configured to supply washing water to the first tub, a detergent detection sensor configured to detect first conductivity and first turbidity of the washing water, and a processor configured to determine a washing cycle of the washing machine based on detected information.

Abstract: An electrode patch is disclosed. The electrode patch includes a substrate of which one surface has an adhesive force and extending in a first direction, a conductive first electrode disposed on one side of the substrate, and a conductive second electrode disposed on another side of the substrate and configured to be electrically separated from the first electrode. The first electrode includes a cut surface extending from a first contact portion contacting a first clamp to an inside of the first electrode, and the second electrode includes a cut surface extending from a second contact portion contacting a second clamp to an inside of the second electrode.

Abstract: Provided is a blood pressure measurement device comprising: a chair unit provided such that a person for whom blood pressure is to be measured sits thereon; and a cuff part coupled to one side of the chair unit so as to move according to a preset direction and angle, and covering a person's arm for which blood pressure is to be measured.

Abstract: Disclosed herein is a steel composition with improvement in tensile strength and fatigue life, which can be used for a vehicle part such as a vehicle suspension system.

Abstract: The present disclosure relates to a ball and a valve seat for a fuel injector, in which an SiO-DLC functional layer having low friction properties is formed as an outermost layer in order to reduce a friction coefficient, a Mo-based material is applied to a bonding layer and a supporting layer for bonding the SiO-DLC functional layer to a base material and supporting the same to improve the heat resistance thereof, and only Mo particles of a pure ion state are deposited so as to form the bonding layer and the support layer, such that adhesive force and bonding force are increased to thus improve durability; and to a method for coating the same.

Abstract: An ultra-high-strength spring steel for an engine valve spring steel comprises, by weight: 0.5-0.7% of carbon (C), 1.3-2.3% of silicon (Si), 0.6-1.2% of manganese (Mn), 0.6-1.2% of chrome (Cr), 0.1-0.5% of molybdenum (Mo), 0.05-0.8% of nickel (Ni), 0.05-0.5% of vanadium (V), 0.05-0.5% of niobium (Nb), 0.05-0.3% of titanium (Ti), 0.001-0.01% of boron (B), 0.01-0.52% of tungsten (W), 0.3% or less (0% exclusive) of copper (Cu), 0.3% or less (0% exclusive) of aluminum (Al), 0.03% or less (0% exclusive) of nitrogen (N), 0.003% or less (0% exclusive) of oxygen (O), and a remainder of Fe and other inevitable impurities, based on 100% by weight of the ultra-high-strength spring steel.

Abstract: Disclosed are a washer for adjusting an amount of detergent and a method of driving the same, which controls an automatic detergent dispenser to decide the amount of detergent on an amount of contamination of laundry by using artificial intelligence or machine learning, and to input the determined amount of detergent to washing water.

Abstract: Disclosed are nickel alloys for exhaust system components having improved tensile strength, fatigue strength, oxidation resistance, and abrasion resistance at a high temperature condition. A nickel alloy for exhaust system components according to an embodiment is used for exhaust system components of a vehicle engine, the nickel alloy including: 0.01 to 0.2 wt % of C; 0.1 to 1.0 wt % of Si; 0.1 to 1.5 wt % of Mn; 8 to 24 wt % of Cr; 0.1 to 2.5 wt % of Nb; 0.1 to 4.0 wt % of Al; 0.01 to 1 wt % of Co; 0.01 to 5.0 wt % of Mo; 0.01 to 4 wt % of W; 0.1 to 1 wt % of Ta; 0.1 to 2.4 wt % of Ti; 4.0 to 11.0 wt % of Fe; a remainder being Ni; and inevitable impurities.

Abstract: Disclosed is a washing system capable of detecting a level of contamination of a laundry tub by executing a big data, an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for things Internet. The washing system capable of detecting a level of contamination of a laundry tub according to one embodiment of the present disclosure includes a composite sensor for detecting a level of contamination of a laundry tub, a washing machine controller that receives a digital signal from the composite sensor to determine a level of contamination of the laundry tub, and a server communicating with the washing machine. The washing machine controller or the server learns AI model with the training data set through a machine learning algorithm in order to predict a progressing degree of contamination of the laundry tub.

Abstract: A laundry processing apparatus and a driving method thereof for driving a laundry processing apparatus by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things are provided. The driving method may include obtaining a drive current of a motor and a rotational speed of a drum during a cycle of the laundry processing apparatus, classifying a type of load of laundry located inside the laundry processing apparatus based on the obtained drive current and rotational speed, determining whether to change a course of the laundry processing apparatus according to the type of load, outputting a recommended course corresponding to the type of load when a course change of the laundry processing apparatus is determined, and changing the cycle of the laundry processing apparatus to the recommended course upon receiving a selection signal for the recommended course.

Abstract: Disclosed herein is stainless steel having excellent tensile strength, fatigue strength, oxidation resistance at high temperature environment. According to an exemplary embodiment of the present invention, the stainless steel having excellent oxidation resistance at high temperature includes C: 0.01 to 0.2%, Si: 0.1 to 1.0%, Mn: 0.1 to 2.0%, Cr: 12.0 to 30.0%, V: 0.01 to 0.5%, Nb: 0.01 to 0.5%, Al: 0.1 to 4.0%, Co: 0.01 to 5.0%, Mo: 0.01 to 4.0%, W: 0.01 to 4.0%, B: 0.001 to 0.15%, Ni: 5.0 to 20.0% as wt %, the balance Fe, and other inevitable impurities.

Abstract: Disclosed is a method of monitoring consciousness, the method including sensing at least two brainwave signals, extracting respective phase signals from the sensed brainwave signals, calculating entropy based on a variety in a change in terms of a phase difference between the extracted phase signals, and assessing a state of consciousness based on the calculated entropy.

Abstract: A steel composition is provided and includes carbon of about 0.5 to 0.7 wt %; silicon of about 1.3 to 2.3 wt %; manganese of about 0.6 to 1.2%; chromium of about 0.6 to 1.2 wt %; molybdenum of about 0.1 to 0.5 wt %; nickel of about 0.05 to 0.8 wt %; vanadium of about 0.05 to 0.5 wt %; niobium of about 0.05 to 0.5 wt %; titanium of about 0.05 to 0.3 wt %; cobalt of about 0.01 to 3 wt %; zirconium of about 0.001 to 0.2 wt %; yttrium of about 0.01 to 1.5 wt %; copper of about 0.3% or less but greater than 0 wt %; aluminum of about 0.3% or less but greater than 0 wt %; nitrogen of about 0.03% or less but greater than 0 wt %; oxygen of about 0.003% or less but greater than 0 wt %. Additionally, a balance iron, based on the total weight is included.

Abstract: Disclosed herein is high-strength special steel containing about 0.1 to 0.5 wt % of carbon (C), about 0.1 to 2.3 wt % of silicon (Si), about 0.3 to 1.5 wt % of manganese (Mn), about 1.1 to 4.0 wt % of chromium (Cr), about 0.3 to 1.5 wt % of molybdenum (Mo), about 0.1 to 4.0 wt % of nickel (Ni), about 0.01 to 0.50 wt % of vanadium (V), about 0.05 to 0.50 wt % of titanium (Ti), and the remainder of iron (Fe) and other inevitable impurities.

Abstract: Disclosed herein is a high strength special steel including, by weight %: carbon (C): from about 0.1 to 0.5%; silicon (Si): from about 0.1 to 2.3%; manganese (Mn): from about 0.3 to 1.5%; chromium (Cr): from about 1.1 to 4.0%; molybdenum (Mo): from about 0.3 to 1.5%; nickel (Ni): from about 0.1 to 4.0%; vanadium (V): from about 0.01 to 0.50%; boron (B): from about 0.001 to 0.010%; niobium (Nb): from about 0.05 to 0.50%; and the balance of iron (Fe) and inevitable impurities.

Abstract: An ultrahigh-strength spring steel, used as steel for a vehicle engine valve spring may include 0.5 to 0.7 wt % of C, 1.3 to 2.5 wt % of Si, 0.6 to 1.2 wt % of Mn, 0.6 to 1.5 wt % of Cr, 0.01 to 0.5 wt % of Mo, 0.01 to 0.9 wt % of Ni, 0.5 wt % or less (excluding 0 wt %) of V, 0.5 wt % or less (excluding 0 wt %) of Nb, 0.3 wt % or less (excluding 0 wt %) of Ti, 1.0 wt % or less (excluding 0 wt %) of Co, 0.1 wt % or less (excluding 0 wt %) of B, 0.3 wt % or less (excluding 0 wt %) of W, 0.3 wt % or less (excluding 0 wt %) of Cu, 0.3 wt % or less (excluding 0 wt %) of Al, 0.03 wt % or less (excluding 0 wt %) of N, 0.003 wt % or less (excluding 0 wt %) of O, and a remainder of Iron (Fe) and inevitable impurities.