Korea Advanced Institute of Science and Technology

Toyota Jidosha Kabushiki Kaisha

Dongsu Han

Jeong Geun Kim

Jinwoo Park

Seongmin Kim

Jinwoo Shin

Chunghan Lee

Byoungkwon Choi

Jaehong Kim

Juhyeng Han

Youngmok Jung

Byung Kwon Choi

Hyunho Yeo

An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

Information processing apparatus and information processing method

A method and apparatus for transmitting adaptive video in real time using a content-aware neural network are disclosed. At least one embodiment provides a method performed by a server for transmitting an adaptive video in real time by using content-aware deep neural networks (DNNs), including downloading a video, encoding a downloaded video for each of at least one resolution, dividing an encoded video into video chunks of a predetermined size, training the content-aware DNNs by using encoded video, generating a configuration or manifest file containing information on trained content-aware DNNs and information on the encoded video, and transmitting the configuration file upon a request of a client.

Method and apparatus for transmitting adaptive video in real time using content-aware neural network

The present disclosure in some embodiments provides a security system using both key management service (KMS) and a hardware security module (HSM), and a method of operating the security system. At least one embodiment provides a security system including an HSM, a bootstrapping enclave, and one or more KMS enclaves. The HSM is configured to generate, replace or remove a root key, the HSM being physically independent. The bootstrapping enclave is configured to receive the root key from the HSM. The one or more KMSs are configured to perform an attestation procedure with the bootstrapping enclave, to receive the root key from the bootstrapping enclave, and to utilize the root key for establishing a secure channel with the HSM.

Security system and method thereof using both KMS and HSM

The present disclosure in some embodiments provides a method and an apparatus for accelerated loading of mobile application content which are capable of automatically discover opportunities for application acceleration to remarkably reduce a response time of a mobile application.

Method and apparatus for accelerating loading of mobile application content

Growing community of inventors

Daejeon, South Korea

Dongsu Han