Abstract:
A memory device for multiple processors capable of processing a plurality of memory access requests and a memory system having the same are provided. The memory device includes one command and control signal port configured to receive a command and control signal from a memory controller, one address port configured to receive an address signal from the memory controller, a data port configured to form a plurality of data channels being independently driven to simultaneously process a plurality of memory access requests of the memory controller, and a plurality of memory banks divided into a plurality of sub-banks to simultaneously perform operations according to the plurality of memory access requests when the plurality of memory access requests are sequentially transmitted through the command and control signal port and the address port.
Abstract:
A user authentication method and apparatus are disclosed. One embodiment of the invention can provide a method for authenticating a user from a server that includes: (a) transmitting a one-time server certification message in response to an authentication request including a user ID of a client terminal, and receiving a one-time terminal certification message from the client terminal; and (b) authenticating the user by verifying the one-time terminal certification message by using a hash value stored beforehand in correspondence to the user ID.
Abstract:
A method of constructing and maintaining a circle-mesh overlay network is disclosed. The method of constructing a circle-mesh overlay network includes: (a) determining a reference member number of a circle overlay by using a total number of participating peers; (b) creating a new circle overlay and adding member peers from among the participating peers to the new circle overlay in consideration of the reference member number; and (c) forming a circle-mesh overlay network by way of interconnection between the new circle overlay and a different circle overlay.
Abstract:
A traffic control method and apparatus with an autonomous vehicle based on adaptive reward. A traffic control apparatus for an autonomous vehicle based on adaptive reward comprises an information observation unit that collects observation information from a sensing module of an autonomous vehicle or a roadside unit (RSU); a policy execution unit that decides on an action including adjusting acceleration and changing lanes of the autonomous vehicle based on the observation information and policy; and a reward determination unit that determines reward according to observation information at a next timestep according to the decision made, wherein reward in the reward determination unit includes penalty in an event of an accident and reward when driving, wherein the reward when driving includes an adaptive target speed reward term, a successful lane change reward term, and a safety distance compliance reward term that are adaptively determined according to road traffic.
Abstract:
The present invention relates to a composition for electroless platinum plating and an electroless platinum plating method using the same, wherein it is possible to easily and safely produce a uniformly dispersed platinum thin film without expensive additional equipment by performing electroless platinum plating with a composition for electroless platinum plating containing an alcohol, an aqueous solution of a platinum chloride compound, and an aqueous solution of a basic compound.
Abstract:
A method for combating a stop-and-go wave problem using deep reinforcement learning based autonomous vehicles includes selecting one of a plurality of deep reinforcement learning algorithms for training an autonomous vehicle and a reward function in a roundabout environment in which autonomous vehicles and non-autonomous vehicles are driving, determining a deep neural network architecture according to the selected deep reinforcement learning algorithm, learning a policy which enables the autonomous vehicle to drive at a closest velocity to a constant velocity based on state information including a velocity of the autonomous vehicle and a relative velocity and a relative position between the autonomous vehicle and an observable vehicle by the autonomous vehicle at a preset time interval and reward information, using the selected deep reinforcement learning algorithm, and driving the autonomous vehicle based on the learned policy to determine an action of the autonomous vehicle.
Abstract:
An apparatus for providing sodium superion conductor material information using a machine learning method is provided. The apparatus includes a classification unit for generating classification information by classifying sodium superion conductor material information by comparing an output value obtained by inputting material characteristic information into a sodium superion conductor material search model with a preset threshold value: a first verification unit for selecting information on a structure in an electrochemically stable state using Ewald summation from the generated classification information; and a second verification unit for selecting and providing final information on a structure having high ionic conductivity using AIMD simulation from the information on the structure in the electrochemically stable state.
Abstract:
A root cause analysis system for analyzing a root cause in a cloud environment comprises: an infra controller searching a data source endpoint, and bringing address and port information of the data source endpoint when a monitoring agent is installed in a plurality of clusters; a monitoring module registering the address and port information of the data source endpoint according to a request of the intra controller, and collecting data from the monitoring agent in real time; a prediction and localization module predicting an abnormal accident in the plurality of clusters by inputting the data collected in real time into a machine learning-based prediction model, and searching a root cause of the abnormal accident by using a feature score and a log score for a metric of the abnormal accident; and a remediation (treatment) module performing a preliminary recovery process according to the searched root cause.
Abstract:
Provided are a content caching optimization system and method. The content caching optimization system in which content priority in an information-centric networking (ICN) environment is taken into consideration includes one or more producer terminals configured to generate and provide content, one or more user terminals configured to transmit content requests according to users and receive content according to the content requests, one or more mobilelmultiple access edge cotnputings (MECs) configured to predict the number of requests for each piece of content to be requested later on the basis of the content requests received from the user terminals, and a software-defined network (SDN) controller configured to calculate a content popularity using the number of requests for each piece of content predicted by the MECs and perform content caching optimization on the basis of the calculated content popularity and a preset content priority.
Abstract:
Proposed is an all-solid-state battery including a self-standing sheet layer positioned on a negative electrode current collector. The all-solid-state battery may include the negative electrode current collector, the self-standing sheet layer positioned on the negative electrode current collector, a solid electrolyte layer positioned on the sheet layer, a positive electrode active material layer positioned on the solid electrolyte layer, and a positive electrode current collector positioned on the positive electrode active material layer. The sheet layer contains carbon nanotubes.