Abstract: A manufacturing system state image preprocessing device in accordance with one embodiment of the present disclosure includes: a basic image generator configured to generate a basic image that visually represents a manufacturing system state based on manufacturing system state data, wherein the basic image includes a Gantt chart; and a conditioned image generator configured to generate one or more conditioned images in which one or more sets of conditions have been applied to the basic image, wherein an output image including at least one of the basic image and the one or more conditioned images is provided as input to an artificial neural network module.

Abstract: Provided is a device for performing simulation for work schedule of a factory includes an experiment design module for generating experiment design data by selecting one or more factors from a plurality of factors included in reference information as target factors, and setting levels of the selected target factors, the reference information being an input value to a model that serves as a target of a what-if simulation experiment, and an experiment execution module for outputting an experiment execution result by executing the what-if simulation experiment for the model in parallel by using an executor including a plurality of execution engines based on the experiment design data.

Abstract: A method for processing contents at an electronic device is provided. The method includes generating a first content corresponding to a user input applied to content via the electronic device, and displaying a floating user interface (UI), which displays first scrap information on the first content, on a screen of the electronic device.

Abstract: Provided is an operating method of a storage device. The method includes providing temperature information of each of a plurality of volatile memory devices in the storage device to a host device; and receiving a setting command related to a refresh operation of the plurality of volatile memory devices from the host device, wherein the plurality of volatile memory devices are classified into groups based on temperature information, and wherein the setting command indicates a number of rows of the plurality of volatile memory devices to be refreshed differently for each of the groups based on the temperature information.

Abstract: Disclosed is a method of processing item sales information by an electronic apparatus including acquiring a purchase request including item information related to an item selected by a user and information related to a payment means, providing a purchase response including approval information corresponding to the purchase request before proceeding with payment through the payment means in response to the purchase request when the information related to the payment means satisfies a first condition, transmitting a release request for the item to a first server; and requesting payment for at least some of an amount corresponding to one or more purchase requests related to the payment means according to an arrival of settlement timing corresponding to the payment means.

Abstract: The present invention relates to an unmanned aerial vehicle and a self-destruct drone operating system including the same, and according to an unmanned aerial vehicle related to one example of the present invention and a self-destruct drone operating system including the same, it can overcome gravity, descend vertically to a target at a high speed, and be precisely guided, by rotating a propeller of a rotor in the reverse direction.

Abstract: Provided are a method and apparatus for processing a data stream capable of providing a data flow processing language to support real-time processing of an exploding data stream and providing an environment for executing the data flow processing language in a cluster system. The data flow-based exploding data stream processing method includes receiving a big data real-time processing service described in a real-time data flow language, interpreting the big data real-time processing service to generate a distributed stream processing service, and distributively deploying the distributed stream processing service in a cluster system including multiple nodes and configuring an execution environment for executing the distributed stream processing service in each node.

Abstract: Disclosed herein are an apparatus and method for predicting performance attributable to the parallelization of hardware acceleration devices. The apparatus includes a setting unit, an operation unit, and a prediction unit. The setting unit divides the time it takes to perform a task into a plurality of task stages and processing stages, and sets one of a parallelization index and target performance. The operation unit calculates the times it takes to perform the stages, and calculates at least one of the ratio of a target parallelization stage in the task and a speed improvement value. The prediction unit calculates an expected performance value or a parallelization index based on at least one of the calculated the times it takes to perform the stages, the calculated ratio of the target parallelization stage, the calculated speed improvement value, and the set target performance.

Abstract: Provided are a method and apparatus for processing a data stream capable of providing a data flow processing language to support real-time processing of an exploding data stream and providing an environment for executing the data flow processing language in a cluster system. The data flow-based exploding data stream processing method includes receiving a big data real-time processing service described in a real-time data flow language, interpreting the big data real-time processing service to generate a distributed stream processing service, and distributively deploying the distributed stream processing service in a cluster system including multiple nodes and configuring an execution environment for executing the distributed stream processing service in each node.

Abstract: A plasma enhanced vapor deposition apparatus includes a process chamber including a first space and a second space, a substrate holder provided in the first space and supporting a substrate, a plasma generating device combined to the process chamber and inducing plasma in the second space, an ion species screening member separating the first and second spaces from each other and filtering ion species to prevent the ion species from diffusing from the second space to the first space, a first gas supplier supplying a first process gas including a precursor gas into the first space, wherein the precursor gas includes atoms constituting a material layer deposited over the substrate, a second gas supplier supplying a second process gas including a reactive gas into the second space, and a gas discharger coupled to the process chamber and inducing a gas flow from the second space to the first space.

Abstract: Disclosed herein are an apparatus and method for predicting performance attributable to the parallelization of hardware acceleration devices. The apparatus includes a setting unit, an operation unit, and a prediction unit. The setting unit divides the time it takes to perform a task into a plurality of task stages and processing stages, and sets one of a parallelization index and target performance. The operation unit calculates the times it takes to perform the stages, and calculates at least one of the ratio of a target parallelization stage in the task and a speed improvement value. The prediction unit calculates an expected performance value or a parallelization index based on at least one of the calculated the times it takes to perform the stages, the calculated ratio of the target parallelization stage, the calculated speed improvement value, and the set target performance.

Abstract: Disclosed is a dynamic load balancing system. The dynamic load balancing system includes a resource management master managing bare servers that do not execute services and having a hierarchical structure and a service master dynamically allocating the bare servers to a load balancing server or a service execution server or dynamically releasing the pre-allocated load balancing server or service execution server by the bare servers, in consideration of monitoring information on a state or performance of a server and service requirements to be provided.

Abstract: Provided are a method for generating an instantaneous decoding refresh (IDR) unit for trick play, and a trick play system and method using the same. The trick play system includes: a speed information input unit configured to receive a speed value; a transmission condition determining unit configured to determine instantaneous decoding refresh (IDR) transmission conditions based on the speed value inputted through the speed information input unit; a double-speed IDR-unit generating unit configured to generate a double-speed IDR-unit by adjusting the number and data size of video frames to be transmitted in accordance with the transmission conditions determined by the transmission condition determining unit; and a transmitting unit configured to transmit the generated double-speed IDR-unit to an external user terminal.

Abstract: Disclosed herein is an apparatus for controlling sensor data in a cloud system. The apparatus includes a plurality of virtual machines, and a service module. Each of the plurality of virtual machines obtains sensor information about a user terminal by driving an internal sensor data processing module at a request of the corresponding user terminal, and provides the application execution environment of a requested service by connecting to the user terminal over a network. The service module provides an application corresponding to the requested service to a virtual machine which requested the service. When a sensor Application Programming Interface (API) of the user terminal is called by the application, the virtual machine requests sensor data from the user terminal based on the sensor information about the user terminal, and provides the result of measurement of the sensor data from the user terminal to the corresponding application.

Abstract: Disclosed is a dynamic load balancing system. The dynamic load balancing system includes a resource management master managing bare servers that do not execute services and having a hierarchical structure and a service master dynamically allocating the bare servers to a load balancing server or a service execution server or dynamically releasing the pre-allocated load balancing server or service execution server by the bare servers, in consideration of monitoring information on a state or performance of a server and service requirements to be provided.

Abstract: Provided are a large-scale cluster monitoring system and a method for automatically building/restoring the same, which can automatically build a large-scale monitoring system and can automatically build a monitoring environment when a failure occurs in nodes. The large-scale cluster monitoring system includes a CM server, a BD server, GM nodes, NA nodes, and a DB agent. The CM server manages nodes in a large-scale cluster system. The DB server stores monitoring information that is state information of nodes in groups. The GM nodes respectively collect the monitoring information that is the state information of the nodes in the corresponding groups to store the collected monitoring information in the DB server. The NA nodes access the CM server to obtain GM node information and respectively collect the state information of the nodes in the corresponding groups to transfer the collected state information to the corresponding GM nodes.

Abstract: Provided is an availability prediction method for a high availability. The method includes calculating a basic survival probability that the other node survives until a failure on one node of two nodes constituting a cluster is fixed, and determining an optimal number of nodes meeting a preset reference availability probability by calculating an availability probability for a predetermined range of the number of nodes on the basis of the basic survival probability. The method determines the number of nodes in the high availability cluster so as to match a reference availability probability, and is able to accomplish an optimal configuration of a cluster by calculating the availability probabilities for combinations between active node and passive nodes and between head nodes and switches.

Abstract: Provided are a method and apparatus for obtaining a minimum cost vector for making a skyline object in a multi-dimensional space. The method includes calculating respective vector values having a query point and respective moving points to which the query point is moved as both end points in a multi-dimensional space having a plurality of coordinate axes, and selecting a vector value whose moving point is included in a skyline and has the minimum distance value from the query point as the minimum vector value from among the vector values.

Abstract: Provided are a cluster system, which makes general nodes appear as if they provide seamless services without failure when seen from the outside, and a method for operating the cluster system. The cluster system for operating individual nodes in a distributed management manner includes a board server having a task board registered with a task list, an agent server for managing the task board, and a plurality of general server nodes for performing a corresponding task on the basis of the task list, among which a failed general server node is replaced with another normal general server node.

Abstract: Provided is an availability prediction method for a high availability. The method includes calculating a basic survival probability that the other node survives until a failure on one node of two nodes constituting a cluster is fixed, and determining an optimal number of nodes meeting a preset reference availability probability by calculating an availability probability for a predetermined range of the number of nodes on the basis of the basic survival probability. The method determines the number of nodes in the high availability cluster so as to match a reference availability probability, and is able to accomplish an optimal configuration of a cluster by calculating the availability probabilities for combinations between active node and passive nodes and between head nodes and switches.