Abstract:
Disclosed herein is an apparatus for enhancing network security, which includes an information collection unit for collecting information about states of hosts that form a network and information about connectivity in the network; an attack surface analysis unit for analyzing attack surfaces by creating an attack graph using the information about the states and the information about connectivity; a security-enhancing strategy establishment unit for establishing a security-enhancing strategy based on the attack graph; and a security-enhancing strategy implementation unit for delivering a measure based on the security-enhancing strategy to a corresponding host, thereby taking a security-enhancing measure.
Abstract:
A method for visualizing record data with a mobile forensic device for collecting and managing the record data including partner information when an event, such as a call or text service, occurs, includes: calculating an event occurrence frequency for each partner information using the collected record data; and classifying the partner information on the basis of a grade according to the calculated event occurrence frequency. Further, the method includes generating graphic data showing a relation between the partner information and user information of a mobile terminal on the basis of the classified grade; and displaying the graphic data.
Abstract:
Disclosed are a quantizing method for a latent vector and a computing device for performing the quantization method. A quantizing method of a latent vector includes performing information shaping on the latent vector resulting from reduction in a dimension of an input signal using a target neural network; clamping a residual signal of the latent vector derived based on the information shaping; performing resealing on the clamped residual signal; and performing quantization on the resealed residual signal.
Abstract:
Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding. There is proposed a novel NN-based spatially scalable image compression method, called Compression with Arbitrary-scale Spatial Scalability (COMPASS), which supports arbitrary-scale spatial scalability. COMPASS may have a very flexible structure in which the number of multiple layers and respective scale factors of the multiple layers can be arbitrarily determined during inference. In order to reduce the spatial redundancy between adjacent layers for arbitrary scale factors, COMPASS may adopt an inter-layer arbitrary scale prediction method, called a Local Implicit Filter Function (LIFF) based on implicit neural representation.
Abstract:
Disclosed herein are a method, an apparatus and a storage medium for encoding/decoding using a transform-based feature map. An optimal basis vector is extracted from one or more feature maps, and a transform coefficient is acquired through a transform using the basis vector. The basis vector and the transform coefficient may be transmitted through a bitstream. In an embodiment, one or more feature maps are reconstructed using the basis vector and the transform coefficient, which are decoded from the bitstream.
Abstract:
Disclosed herein are a method, apparatus, and storage medium for image encoding/decoding. Selective compression learning of latent representations for variable-rate image compression is used for the method, apparatus, and storage medium. A selective compression method that partially encodes latent representations in a completely generalized manner for deep-learning-based variable-rate image compression is disclosed in embodiments. The methods of the embodiments adaptively determine essential representation elements for compression at different target quality levels.
Abstract:
Disclosed herein are an apparatus and method for generating and operating a dynamic Controller Area Network (CAN) Identifier (ID). The apparatus includes a priority ID generation unit for generating a priority ID that is a base ID, a dynamic ID generation unit for generating a dynamic ID that is dynamically changed, and a communication unit for transmitting/receiving a data frame in which a dynamic CAN ID including the priority ID and the dynamic ID is combined with data.
Abstract:
An apparatus for transmitting 3DTV broadcasting generates base video data by coding additional video, generates enhanced layer data by coding a correlation video between the base video and a video decodable from the base layer stream, and transmits the base layer data and the enhanced layer data.
Abstract:
An apparatus for transmitting 3DTV broadcasting encodes a base video using scalable video coding (SVC) or scalable high efficiency video coding (SHVC) scheme to generate a base layer stream and an enhancement layer stream of the base video, encodes each of an additional video and video enhancement information data for enhancing video quality of the additional video, transmits the base layer stream and the enhancement layer stream of the base video through a base layer channel and an enhancement layer channel, respectively, and transmits the encoded additional video and the encoded video enhancement information data through the base layer channel or the enhancement layer channel.