Abstract: A catalyst for water electrolysis electrode, a method for preparing the catalyst, and a water electrolysis electrode including the catalyst are provided. A catalyst for water electrolysis electrode according to an embodiment of the present disclosure includes a carbon structure doped with a first element and a second element, and an alloy nanoparticle doped with the first element. The alloy nanoparticle is supported on a surface of the carbon structure, and the first element is iron (Fe).

Abstract: The present disclosure relates to an amorphous catalyst composite, including an amorphous isotropic carbon compound with a carbon defect and a nanoparticle, and a method of preparing the same.

Abstract: Proposed herein are an image detection device, a signal control system including the same, and a signal control method. The image detection device includes: a photographing unit configured to acquire an intersection image by capturing an image of an intersection; a control unit configured to generate detection information, including information about a vehicle-occupied or -unoccupied state for each of one or more detection channels set on the plane of the intersection by analyzing the intersection image acquired by the photographing unit; and a communication unit configured to transmit the detection information, generated by the control unit, to the traffic signal controller.

Abstract: Proposed herein are a signal control apparatus and method. The signal control apparatus includes: a photographing unit configured to acquire a plurality of intersection images by capturing a plurality of intersections; a storage configured to store a program for the control of traffic signals; and a controller including at least one processor, and configured to calculate control information for the control of traffic lights at each of the plurality of intersections using the intersection images acquired through the photographing unit by executing the program. The controller calculates control information for the control of traffic lights at each of the plurality of intersections based on action information calculated by a plurality of agents by using a plurality of agents based on a reinforcement learning model trained by outputting action information for the control of traffic lights while using state information and a reward as input values.

Abstract: Proposed herein are an image detection device, a signal control system including the same, and a signal control method. The image detection device includes: a photographing unit configured to acquire an intersection image by capturing an image of an intersection; a control unit configured to generate detection information, including information about a vehicle-occupied or -unoccupied state for each of one or more detection channels set on the plane of the intersection by analyzing the intersection image acquired by the photographing unit; and a communication unit configured to transmit the detection information, generated by the control unit, to the traffic signal controller.