Abstract: Disclosed are a method and an apparatus for de-identification of personal information. The method for de-identification of personal information comprises the steps of: obtaining, from a database, a raw table including records in which raw data indicating the personal information is recorded; generating generalized data by generalizing the raw data recorded in each of the records included in the raw table; setting a generalized hierarchical model consisting of the raw data and the generalized data; generating a raw lattice including a plurality of candidate nodes on the basis of the generalized hierarchical model; and setting, from among the plurality of candidate nodes included in the raw lattice, a final lattice including at least one candidate node satisfying a predetermined criterion. Thus, it is possible for the personal information to be efficiently de-identified.

Abstract: Provided is a network camera including a processor and a memory storing instructions executable by the processor, the processor executing the instructions to perform: an operation of capturing a video using an imaging device; an operation of publishing a topic related to the captured video to a message broker; an operation of receiving a search request message regarding the published topic from the message broker; an operation of searching the stored video according to the search request message; and an operation of generating a response message regarding the search request message based on the search result and sending the response message to the message broker.

Abstract: Disclosed is a deep reinforcement learning apparatus and method for a pick-and-place system. According to the present disclosure, a simulation learning framework is configured to apply reinforcement learning to make pick-and-place decisions using a robot operating system (ROS) in a real-time environment, thereby generating stable path motion that meets various hardware and real-time constraints.

Abstract: Disclosed are a method and an apparatus for de-identification of personal information. The method for de-identification of personal information comprises the steps of: obtaining, from a database, a raw table including records in which raw data indicating the personal information is recorded; generating generalized data by generalizing the raw data recorded in each of the records included in the raw table; setting a generalized hierarchical model consisting of the raw data and the generalized data; generating a raw lattice including a plurality of candidate nodes on the basis of the generalized hierarchical model; and setting, from among the plurality of candidate nodes included in the raw lattice, a final lattice including at least one candidate node satisfying a predetermined criterion. Thus, it is possible for the personal information to be efficiently de-identified.

Abstract: Disclosed are a method and an apparatus for de-identification of personal information. The method for de-identification of personal information comprises the steps of: obtaining, from a database, a raw table including records in which raw data indicating the personal information is recorded; generating generalized data by generalizing the raw data recorded in each of the records included in the raw table; setting a generalized hierarchical model consisting of the raw data and the generalized data; generating a raw lattice including a plurality of candidate nodes on the basis of the generalized hierarchical model; and setting, from among the plurality of candidate nodes included in the raw lattice, a final lattice including at least one candidate node satisfying a predetermined criterion. Thus, it is possible for the personal information to be efficiently de-identified.

Abstract: Disclosed are a method and an apparatus for de-identification of personal information. The method for de-identification of personal information comprises the steps of: obtaining, from a database, a raw table including records in which raw data indicating the personal information is recorded; generating generalized data by generalizing the raw data recorded in each of the records included in the raw table; setting a generalized hierarchical model consisting of the raw data and the generalized data; generating a raw lattice including a plurality of candidate nodes on the basis of the generalized hierarchical model; and setting, from among the plurality of candidate nodes included in the raw lattice, a final lattice including at least one candidate node satisfying a predetermined criterion. Thus, it is possible for the personal information to be efficiently de-identified.

Abstract: A touch information communication method transmits notification information to the touch screen information providing apparatus by carrying the notification information, which notifies a touch communication terminal is a touch communication terminal, on a call signal in a telephone communication network; receives touch screen information and touch control information corresponding to the touch screen information from the touch screen information providing apparatus; and when a user touches a predetermined area on a screen, determines the touched area and transmits touch input information corresponding to the touched area to the touch screen information providing apparatus.

Abstract: A touch information communication method transmits notification information to the touch screen information providing apparatus by carrying the notification information, which notifies a touch communication terminal is a touch communication terminal, on a call signal in a telephone communication network; receives touch screen information and touch control information corresponding to the touch screen information from the touch screen information providing apparatus; and when a user touches a predetermined area on a screen, determines the touched area and transmits touch input information corresponding to the touched area to the touch screen information providing apparatus.

Abstract: The present invention relates to an apparatus for efficiently deodorizing or sterilizing a target space, which is contaminated with virus, bacteria, fungi and the like over a reference value, by using ozone without adversely affecting a human body. More particularly, the present invention relates to an air sterilizer using ozone, which includes a control unit for automatically controlling a proper concentration of ozone capable of efficiently sterilizing the target space according to the size of the target space. Specifically, the air sterilizer comprises an ozone generating unit subjected to ON/OFF control, a control unit for controlling a variety of safety devices having functions of efficiently controlling the concentration of ozone in the target space, a functional air filter unit having functions of cleaning air and removing residual ozone, and a fan for circulating the air in the target space.