Abstract: An embodiment apparatus for predicting traffic flow on a new road includes a memory, an input device, and a controller configured to input traffic data corresponding to a default context of the new road received by the input device to a prediction model stored in the memory, training of which is completed, and to predict a traffic flow corresponding to various contexts of the new road based on the prediction model.

Abstract: An apparatus for predicting a traffic speed and a method thereof are provided. The apparatus includes an input device that receives traffic speed sequences of a plurality of links and a controller that detects a spatio-temporal relationship between traffic speeds of the plurality of links and predicts a future traffic speed of a target link based on the spatio-temporal relationship between the traffic speeds of the plurality of links.

Abstract: A semiconductor manufacturing equipment may include a process chamber for treating a substrate; a front-end module including a first transfer robot, wherein the first transfer robot may be configured to transport the substrate received in a container; a transfer chamber between the front-end module and the process chamber, wherein the transfer chamber may be configured to load or unload the substrate into or out of the process chamber; and a cassette capable of receiving a replaceable component capable of being used in the process chamber. The front-end module may include a seat plate configured to move in a sliding manner so as to retract or extend into or from the front-end module. The cassette may be configured to be loaded into the front-end module while the cassette is seated on the seat plate.

Abstract: A memory device includes a buffer die configured to receive a first broadcast command and a second broadcast command from an external device; and a plurality of core dies stacked on the buffer die. The plurality of core dies include: a first core die including a first processing circuit, a first memory cell array, a first command decoder configured to decode the first broadcast command, and a first data input/output circuit configured to output data of the first memory cell array to a common data input/output bus under control of the first command decoder; and a second core die including a second processing circuit, a second memory cell array, a second command decoder configured to decode the second broadcast command, and a second data input/output circuit configured to receive the data of the first memory cell array through the common data input/output bus under control of the second command decoder.

Abstract: In an embodiment a traffic speed prediction device includes at least one processor is configured to determine a second section connected with a first section, wherein the second section is a target road section, and wherein the first section includes a road section in front of the second section, to output first output data using traffic speed data during a first time, the traffic speed data being obtained based on probe data collected in the first section and the second section, to output second output data using traffic volume data during a second time, the traffic volume data being obtained based on the probe data collected in the first section and the second section, and to predict a traffic speed of the road including the second section using the first output data and the second output data.

Abstract: An apparatus of predicting the congestion time point may include a first deep learning device that outputs first output data using traffic speed data during a first time, a second deep learning device that outputs second output data using traffic volume data during a second time, and a congestion time point prediction model that predicts the congestion time point using at least a portion of the first output data and the second output data.

Abstract: An apparatus and a method for predicting a traffic speed are disclosed. The apparatus includes a controller that learns a deep auto-encoder to output a past traffic speed and a future traffic speed by inputting the past traffic speed, and predicts the future traffic speed based on the deep auto-encoder which completes the learning, and storage that stores the deep auto-encoder which completes the learning.

Abstract: In a simulator for emergency treatment training, a chest compression training module measures chest compression training information. An artificial, an artificial respiration training module measures respiration training information, an automated external defibrillator training module measures pad attachment training information, and a compression training module measures hemostatic compression training information. A control unit is installed in a trunk of a manikin and obtains pieces of training information from the chest compression training module, the artificial respiration training module, the automated external defibrillator training module, and the hemostatic compression training module. A monitoring apparatus is connected to the control unit in a wired or wireless manner, receives the pieces of the training information from the control unit, executes an evaluation program, generates an evaluation result, and displays the generated evaluation result on a screen.

Abstract: An apparatus and a method for providing traffic information are provided. The apparatus includes a traffic data database (DB) that stores traffic data and a processor connected to the traffic data DB. The processor generates a prediction model to predict a traffic flow and determines an appropriate data input range for a target time point in the future using the prediction model. Additionally, the processor extracts past traffic data from the traffic data DB based on the determined appropriate data input range, predicts a traffic flow at the target time point based on the extracted past traffic data and provides the predicted traffic flow as traffic information.

Abstract: Disclosed are an apparatus and method for generating a link for each lane when there is a plurality of exit lanes. The apparatus may acquire information about a speed of a probe vehicle from the probe vehicle, and determine a section for generating a divided link along a lane, based on a speed difference of the probe vehicle in an exit direction. Accordingly, it is possible to improve the accuracy and reliability of the speed of each lane.

Abstract: Provided is a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, and more particularly, a sensing axis variable wheel speed sensor apparatus for an autonomous vehicle, which includes a plurality of sensors and in which the position of a sensing axis is selectively varied.

Abstract: A device and a method for predicting traffic information are provided to improve a traffic information prediction accuracy. The device includes a storage that stores a plurality of probe data generation models based on characteristic of a road and a communication device that receives probe data from a probe vehicle traveling on a target road. A controller detects a probe data generation model corresponding to a characteristic of the target road among the plurality of probe data generation models, generates a preset number of probe data based on the detected probe data generation model, and predicts traffic information of the target road based on the generated probe data and the received probe data.

Abstract: A vehicle speed prediction apparatus includes a data preprocessor that performs preprocessing of correct answer data and input data for deep learning, and a deep learning modeling device that is configured to learn a relationship of a lane speed for each exit lane, based on a representative speed per link, the number of collected probes, and a collection time.

Abstract: An apparatus and a method for providing traffic information are provided. The apparatus includes a traffic data database (DB) that stores traffic data and a processor connected to the traffic data DB. The processor generates a prediction model to predict a traffic flow and determines an appropriate data input range for a target time point in the future using the prediction model. Additionally, the processor extracts past traffic data from the traffic data DB based on the determined appropriate data input range, predicts a traffic flow at the target time point based on the extracted past traffic data and provides the predicted traffic flow as traffic information.

Abstract: The present invention relates to a point-of-impact analysis apparatus for improving the accuracy of a ballistic trajectory and a point of impact by applying a shooting environment of a real personal firearm to virtual reality, and a virtual shooting training simulation system using same, the point-of-impact analysis apparatus including: a gun analysis module for generating gun information on a gun structure of a virtual gun which is a model possessed by a user in a real space; a bullet analysis module for generating bullet information on a structure of a bullet applied to the virtual gun; an environment analysis module for detecting an environmental state of a shooting training content output on a screen so as to generate environmental information on the environmental state; and a point-of-impact generation module for generating point-of-impact information related to a position, at which the bullet impacts a target displayed on the screen, by making reference to at least one piece of information among the gun

Abstract: A buttocks intramuscular injection training model is provided. The buttocks intramuscular injection training model includes a hip model having a similar shape to a human hip; injection modules inserted into both sides of the hip model and each being configured to comprise electrode layers to detect a needle and a muscle layer into which injection liquid is injected; a controller connected to the electrode layers to detect a location of the needle; and an input and output device wired or wireless connected to the controller for bidirectional communication with the controller and configured to visibly output the location of the needle.

Abstract: There is provided a simulator for CPR and defibrillator training, which may perform training and evaluation of CPR and a defibrillator so that when there is a patient in an emergency situation, effective first aid can be provided to the patient. Through the simulator for CPR and defibrillator training, CPR and the use of the defibrillator for emergency medical technicians such as a doctor, a nurse and an emergency medical technician can be systematically and repetitively trained, and a person in charge of training can identify whether or not the education is performed effectively by recording and evaluating a training situation. Also, through the simulator, the education of CPR and defibrillator training is possible so that not only the emergency medical technicians but also general people can perform emergency treatment effectively.

Abstract: A buttocks intramuscular injection training model is provided. The buttocks intramuscular injection training model includes a hip model having a similar shape to a human hip; injection modules inserted into both sides of the hip model and each being configured to comprise electrode layers to detect a needle and a muscle layer into which injection liquid is injected; a controller connected to the electrode layers to detect a location of the needle; and an input and output device wired or wireless connected to the controller for bidirectional communication with the controller and configured to visibly output the location of the needle.

Abstract: There is provided a simulator for CPR and defibrillator training, which may perform training and evaluation of CPR and a defibrillator so that when there is a patient in an emergency situation, effective first aid can be provided to the patient. Through the simulator for CPR and defibrillator training, CPR and the use of the defibrillator for emergency medical technicians such as a doctor, a nurse and an emergency medical technician can be systematically and repetitively trained, and a person in charge of training can identify whether or not the education is performed effectively by recording and evaluating a training situation. Also, through the simulator, the education of CPR and defibrillator training is possible so that not only the emergency medical technicians but also general people can perform emergency treatment effectively.

Abstract: The present invention provides an arm model apparatus for intravenous injection training, comprising: an arm model having an insertion grooved recess formed on a top thereof, the arm model being formed such that the arm model are twisted so as to allow the back of a hand part and a cubital fossa to be oriented upwardly; a skin pad detachably mounted into the insertion grooved recess and having a blood vessel-imitating tube formed therein; a pump drive unit connected to the a blood vessel-imitating tube by a pad connecting tube; and a liquid blood supply container connected to the pump drive unit by a container connecting tube and configured to supply blood stored therein to the blood vessel-imitating tube. The inventive arm model apparatus implements a realistic skin sensation as if a syringe needle penetrated through the blood vessel of the human body through the arm model.