Abstract: There are provided a method and a system for CCTV radial distortion estimation with low-complexity. An image distortion estimation method according to an embodiment includes: adding a certain distortion to an inputted image; detecting outlines from the image to which the distortion is added; detecting straight lines from the detected outlines; calculating a sum of the detected straight lines; performing the above operations N times, and determining parameters of an objective function by fitting an ‘objective function resulting from modeling of a sum of detected straight lines caused by an added distortion’ to the N distortions and the N sums; and estimating a distortion on the image by using the objective function the parameters of which are determined.

Abstract: There is provided an AI-based air damper control system and method for industrial boilers. An AI-based optimal air damper control method according to an embodiment calculates energy efficiency under a given control condition and an environment by extracting energy efficiency-related data from industrial boiler operational data and analyzing a correlation between corresponding data, trains an AI-based optimal air volume-for-load prediction model by using the extracted data and the calculated energy efficiency as training data, and derives an air volume condition that results in peak energy efficiency under a given load, based on the trained optimal air volume-for-load prediction model, and automatically controls the air damper according to the corresponding air volume condition.

Abstract: Provided are a system and a method for predicting an occupancy time of a user in a city building based on big data for auto control of heating or cooling for energy saving. The user occupancy time prediction system according to an embodiment includes: a sensor configured to collect data regarding whether a user occupies a predetermined space in a building; a database configured to store the collected data; a data pre-processing unit configured to process the stored data into a format suitable for machine learning; and a prediction unit configured to input the processed data into a machine learning model, and to predict an expected unoccupancy time of the user regarding the predetermined space in the building. Accordingly, a user occupancy/unoccupancy time may be predicted by analyzing big data which uses previous occupancy data of a user in a city building, and energy may be saved by adjusting a temperature of a heating or cooling device before the unoccupancy time.

Abstract: There are provided an air conditioner automatic control method, an air conditioner automatic control apparatus, a recording medium, and an air conditioner. The air conditioner automatic control method receives occupancy detection data indicating whether a user occupies a room, receives temperature data and humidity data indicating indoor temperature and humidity, predicts future occupancy probability information of the user by using the occupancy detection data, derives an optimal PMV by using the temperature data and the humidity data, and calculates an optimal temperature by using the optimal PMV, and controls the air conditioner based on the occupancy detection data, the future occupancy probability, and the optimal temperature. Accordingly, the air conditioner can be driven at the optimal temperature suitable for the user.

Abstract: There are provided an air conditioner automatic control method, an air conditioner automatic control apparatus, a recording medium, and an air conditioner. The air conditioner automatic control method receives occupancy detection data indicating whether a user occupies a room, receives temperature data and humidity data indicating indoor temperature and humidity, predicts future occupancy probability information of the user by using the occupancy detection data, derives an optimal PMV by using the temperature data and the humidity data, and calculates an optimal temperature by using the optimal PMV, and controls the air conditioner based on the occupancy detection data, the future occupancy probability, and the optimal temperature. Accordingly, the air conditioner can be driven at the optimal temperature suitable for the user.

Abstract: An apparatus for manufacturing molten iron includes a reduction furnace having a charging device that is capable of preventing segregation. The reduction furnace for reducing an iron-containing material used for manufacturing molten iron may include a charging hole where the iron-containing material is charged, a first guide plate sloped toward a first direction in the reduction furnace to guide the iron-containing material to the inside of the reduction furnace, and a second guide plate fixed and sloped toward a second direction intersecting the first direction in the reduction furnace to guide the iron-containing material dropped and guided by the first guide plate. A dropping direction of the iron-containing material dropped and guided by the first guide plate is changed when the iron-containing material is guided by the second guide plate.

Abstract: An apparatus for manufacturing molten iron includes a reduction furnace having a charging device that is capable of preventing segregation. The reduction furnace for reducing an iron-containing material used for manufacturing molten iron may include a charging hole where the iron-containing material is charged, a first guide plate sloped toward a first direction in the reduction furnace to guide the iron-containing material to the inside of the reduction furnace, and a second guide plate fixed and sloped toward a second direction intersecting the first direction in the reduction furnace to guide the iron-containing material dropped and guided by the first guide plate. A dropping direction of the iron-containing material dropped and guided by the first guide plate is changed when the iron-containing material is guided by the second guide plate.