SK Planet Co., Ltd.

The present invention relates to improving the security environment in IP networks and some standardized protocol relevant to the establishment of multimedia sessions by an artificial intelligence (AI) technology. The first aspect of the present invention is to reinforce the security level on the meeting contents that may be shared among or between the meeting participants by using the AI technology. The second aspect of the present invention is to overcome a session establishment failure due to at least one item included in the session description protocol (SDP) when setting up a multimedia session between at least two terminals by using the AI technology. And the third aspect of the present invention is to introduce a new parameter to improve the max-forward function of the session initiation protocol (SIP), which can be viewed as de facto standard in audio or video teleconferencing in IP networks.

The present invention relates to automatically and optimally setting a meeting schedule using the AI. The present invention further relates to recognizing actual meeting attendees and evaluating the attendance and behavior of meeting participants. A first step involves accessing a candidate database (DB) server that includes at least one of a list of a potential meeting's group participants or personal contact, address, current location, work schedule, team information or expertise of an individual potential meeting participant. A second step involves accessing a meeting information DB server that includes a potential meeting information including at least one of the potential meeting's expected agenda, expected number of participants, expected meeting time or expected meeting location for the potential meeting. A third step involves calculating a match rate between a first data from the candidate DB server and a second data from the meeting information DB server.

The present disclosure relates to a technology for determining abnormal situations (e.g., wrong-way driving) regarding the driving of a vehicle object through object recognition from a captured image, and realizes a technical configurations and embodiments for determining, with high reliability, abnormal situations (e.g., wrong-way driving) regarding the driving of a vehicle object in a roadway from a captured image.

Embodiments relate to an apparatus and method for detecting or tracking a wrong-way driving vehicle based on object image analysis or color histogram analysis. The detection or tracking of a wrong-way driving vehicle uses at least one of an object detection model, a classification model, and an anomaly detection model.

An apparatus and method for monitoring illegally parked/stopped vehicles using a movable camera device or a fixed camera device are provided. In an example of the monitoring method, the monitoring apparatus receives location information of a plurality of parking/stopping monitoring areas and generates a patrol route for a movable camera device to collect captured images based on the location information of the parking/stopping monitoring areas. The monitoring apparatus provides the patrol route to the movable camera device, receives, from the movable camera device, first captured images of the parking/stopping monitoring areas included in the patrol route and second captured images of the parking/stopping monitoring areas after a specified time has elapsed, and determines that a vehicle commonly detected in the first and second captured images is an illegally parked/stopped vehicle.

The present invention relates to a method for providing a virtual keyboard service and an apparatus therefor and, particularly, may comprise: on the basis of the total number of users who use a virtual keyboard service through an application, establishing an entire payment pool for paying cryptocurrency rewards; classifying, in the entire payment pool, a first mining volume by an amount of use of a keyboard by users holding keyboard NFTs and a second mining volume by an amount of use of words corresponding to word NFTs; measuring a first payment amount on the basis of a keyboard NFT capability value of a target user by considering the first mining volume; measuring a second payment amount on the basis of a word NFT mapped to the target user by considering the second mining volume; and paying the target user for cryptocurrency rewards corresponding to a basic payment amount, the first payment amount, and the second payment amount.

According to the present invention, a sound anomaly detection method includes acquiring, by an audio unit, a noise from an inspection target; generating, by a data processing unit, an input value that is a feature vector matrix including a plurality of feature vectors from the noise; generating, by a detection unit, a restored value imitating the input value through a detection neural network that is a deep neural network learned for the input value; determining, by the detection unit, whether a restoration error indicating a difference between the input value and the restored value is greater than or equal to a calculated reference value; and determining, by the detection unit, that there is an anomaly in the inspection target when determining that the restoration error is greater than or equal to the reference value.

Analyzing the condition of a road surface by using a frequency-of-interest or a resonance sound in a tire. A training audio signal is sent to a learning unit, a label generator and a frequency selection model that does not complete learning. The training audio signal is obtained by collecting driving noise generated when a vehicle travels on a road. The label generator generates a label audio-of-interest signal by attenuating a band other than a frequency-of-interest band in the training audio signal. The frequency selection model derives a training imitated audio-of-interest signal imitating an audio-of-interest signal by performing a plurality of operations in which an unlearned weight is applied to the training audio signal. The learning unit calculates a generation loss that is a difference between the training imitated audio-of-interest signal and the label audio-of-interest signal, and performs optimization of updating the weight of the frequency selection model.

Disclosed are an apparatus and a method for providing a service for testing an application, a service providing system including the same, and a non-volatile recording medium having a computer program recorded therein, and more particularly, an apparatus and a method for providing a service for testing an application that, when creating a scenario for application testing, support creation of a test scenario that is universally applicable regardless of a screen size or a screen mode of different terminals by supporting creation based on components on a screen according to execution of an application, and a service providing system including the same, and a non-volatile recording medium having a computer program recorded therein.

The present invention relates to the adaptive utilization of road surface information. The system comprises at least one of an information distribution device or an information processing device. The information distribution device collects vehicle information from vehicles traveling a pre-identified infrastructure deficient section in which the amount of road surface detection information collected about a road is not greater than a preset reference amount, and the information processing device determines the road surface condition of the infrastructure deficient section on the basis of the vehicle information provided by the information distribution device, detects the level of travel risk for each vehicle type with respect to the determined road surface condition, generates a warning message for safe driving according to the detected level of travel risk for each vehicle type, and provides the warning message and road surface information to the vehicle via the information distribution device.