Abstract: A battery module includes a battery cell stack constituted by a plurality of stacked pouch-shaped battery cells, a battery module housing configured to receive the battery cell stack, and a heat dissipation member coupled to a portion of the battery module housing, wherein the heat dissipation member has a through-hole formed in a heat dissipation plate disposed so as to face the battery cell stack and a sealing member is added to the through-hole, and a method of manufacturing the heat dissipation member. It is possible to effectively prevent thermal runaway of a battery cell that has caught fire while minimizing an increase in volume of the battery module.

Abstract: A cooling member located in an upper part of a battery cell stack in which a plurality of battery cells are stacked includes an upper plate, a lower plate, and a coolant incorporated in an inner space between the upper plate and the lower plate. The lower plate includes a first part in which a fragile part is formed, and a second part in which the fragile part is not formed. A thickness value of the first part is smaller than a thickness value of the second part.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory in which information relating to a user viewing history is stored, and a processor configured to identify a user-preferred content based on the stored viewing history information, and to provide information corresponding to the identified preferred content. The processor is further configured to, based on content that is being provided to the user including an advertisement that is not preferred by the user, provide information to the user corresponding to the identified user-preferred content.

Abstract: Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.

Abstract: Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.