Abstract: An apparatus for predicting an injury level of a user of a vehicle may include: a communication circuit configured to communicate with an external device; a memory configured to store a genetic algorithm and a machine learning model; and a processor electrically connected with the communication circuit and the memory. The processor may be configured to: obtain, via the communication circuit, traffic accident data associated with a traffic accident; select input data, which includes at least a part of the traffic accident data, for training of the machine learning model, the input data selected using the genetic algorithm; train the machine learning model using the input data; and predict an injury level of the user of the vehicle using the trained machine learning model when the training of the machine learning model is completed.

Abstract: An apparatus for predicting an injury level of a user of a vehicle may include: a communication circuit configured to communicate with an external device; a memory configured to store a genetic algorithm and a machine learning model; and a processor electrically connected with the communication circuit and the memory. The processor may be configured to: obtain, via the communication circuit, traffic accident data associated with a traffic accident; select input data, which includes at least a part of the traffic accident data, for training of the machine learning model, the input data selected using the genetic algorithm; train the machine learning model using the input data; and predict an injury level of the user of the vehicle using the trained machine learning model when the training of the machine learning model is completed.

Abstract: Disclosed is a handheld salinity analyzer including a body, in which a circuit board and a battery are installed, a cell block provided with one end inserted into one end of the body and the other end on which a projecting part provided with a salinity sensor hole and a depressed part provided with a temperature sensor hole are formed, a salinity sensor inserted into the salinity sensor hole and provided with one end connected to the circuit board, a temperature sensor inserted into the temperature sensor hole and provided with one end connected to the circuit board, an ON/OFF switch installed on the end of the body, a light emitting lamp connected to the circuit board, and a body cover connected to the end of the body provided with the ON/OFF switch or to the cell block, and provided with an operating piece to operate the ON/OFF switch.

Abstract: Disclosed is a handheld salinity analyzer including a body, in which a circuit board and a battery are installed, a cell block provided with one end inserted into one end of the body and the other end on which a projecting part provided with a salinity sensor hole and a depressed part provided with a temperature sensor hole are formed, a salinity sensor inserted into the salinity sensor hole and provided with one end connected to the circuit board, a temperature sensor inserted into the temperature sensor hole and provided with one end connected to the circuit board, an ON/OFF switch installed on the end of the body, a light emitting lamp connected to the circuit board, and a body cover connected to the end of the body provided with the ON/OFF switch or to the cell block, and provided with an operating piece to operate the ON/OFF switch.