Abstract: A multilayer electronic component according to an example embodiment may include: a body including a plurality of dielectric layers, a first internal electrode, a second internal electrode, and a margin pattern; and an external electrode disposed on the body. The first and second internal electrodes may be alternately disposed in a first direction with the dielectric layer interposed therebetween, and the margin pattern may be disposed in a position different from the first and second internal electrodes in the first direction and may be disposed so as not to overlap the first internal electrode or the second internal electrode in the first direction.

Abstract: The present disclosure provides a device and method for providing skin information based on the skin microbiome. The device for providing skin information includes a communication unit forming a network connection with an external device, a user interface unit, a processor, and a memory storing instructions executable by the processor, wherein the processor is configured to, by executing the instructions, obtain survey information related to a user's skin condition and, based on the survey information, select the user's skin type, analyze the user's skin microbiome distribution, or provide information about the user's skin.

Abstract: A lighting apparatus includes a light emitting diode, in which the light emitting diode includes an n-type nitride semiconductor layer, an active layer located on the n-type nitride semiconductor layer, and a p-type nitride semiconductor layer located on the active layer. The light emitting diode emits light that varies from yellow light to white light depending on a driving current.

Abstract: An eco-friendly power source, such as a battery module for a transportation vehicle, including a housing having an internal space; a cell stack accommodated in the internal space and including a plurality of battery cells; a busbar assembly including a busbar electrically connecting the plurality of battery cells to each other; and an insulation cover assembly preventing short circuit between the busbar and the housing, wherein the insulation cover assembly includes a cover frame disposed between the busbar and the housing; and a short-circuit prevention member coupled to the cover frame.

Abstract: A battery state of charge estimating apparatus according to an embodiment of the present disclosure includes a charging and discharging unit for receiving a control signal including a C-rate and for charging and discharging a battery at the C-rate included in the control signal; a measuring unit for measuring a voltage of the battery in a charging and discharging process of the battery; and a control unit for transmitting the control signal to the charging and discharging unit, changing the C-rate included in the control signal whenever the voltage value measured by the measuring unit reaches a preset threshold value, and estimating SOC of the battery based on the result of comparing the changed C-rate with a preset cutoff value.

Abstract: A battery state estimating apparatus and method that adds system noise to a recursive filter and corrects parameters used in an extended Kalman filter in consideration of an offset and variance of a current sensor and a voltage sensor.

Abstract: Disclosed are a system and a method for analyzing a result of clustering massive data. An open-source map/reduce framework named Hadoop is used to calculate a silhouette coefficient corresponding to a significance verification index capable of evaluating a result of clustering massive data. To implement the system and the method for analyzing a result of clustering massive data, clustered data is divided into blocks. For all of the blocks, input splits are generated. Then, the generated input splits are assigned to multiple computers. Each computer stores only data of blocks included in an input split assigned in a memory, and calculates a silhouette coefficient for each record. Each computer provides only the calculated silhouette coefficient to an index coefficient calculation apparatus, and enables the index coefficient calculation apparatus to calculate a silhouette coefficient for a cluster. Therefore, the result of clustering the massive data can be rapidly and objectively analyzed.

Abstract: According to exemplary embodiments of the invention, a location-based keyword recommending system and method are provided. The location-based keyword recommending system may include a keyword collecting unit to store location information regarding a location where a keyword is input, a region setting unit to set a virtual region by performing clustering of the location information with reference to the keyword, a region combining unit to combine virtual regions overlapping each other into one virtual region, and a keyword recommending unit to provide a location-based keyword based on the keyword related to the location information of the virtual region.

Abstract: A method for detecting similar documents includes extracting an entity from each of a first web document and a second web document; determining an importance contribution element corresponding to each of the web documents; calculating, using the processor, weights for each entity based on the determined importance contribution elements; and determining whether the web documents are similar documents based on the calculated weights. A device to detect similar documents includes a storage device; an entity extractor stored on the storage device and configured to extract an entity from a first web document and a second web document and to determine an importance contribution element from each of the web documents; a weight calculator configured to calculate weights of each entity based on the determined importance contribution elements; and a similar document detection unit configured to determine whether the web documents are similar documents based on the calculated weights.

Abstract: Disclosed are a system and a method for analyzing a result of clustering massive data. An open-source map/reduce framework named Hadoop is used to calculate a silhouette coefficient corresponding to a significance verification index capable of evaluating a result of clustering massive data. To implement the system and the method for analyzing a result of clustering massive data, clustered data is divided into blocks. For all of the blocks, input splits are generated. Then, the generated input splits are assigned to multiple computers. Each computer stores only data of blocks included in an input split assigned in a memory, and calculates a silhouette coefficient for each record. Each computer provides only the calculated silhouette coefficient to an index coefficient calculation apparatus, and enables the index coefficient calculation apparatus to calculate a silhouette coefficient for a cluster. Therefore, the result of clustering the massive data can be rapidly and objectively analyzed.

Abstract: A method for detecting similar documents includes extracting an entity from each of a first web document and a second web document; determining an importance contribution element corresponding to each of the web documents; calculating, using the processor, weights for each entity based on the determined importance contribution elements; and determining whether the web documents are similar documents based on the calculated weights. A device to detect similar documents includes a storage device; an entity extractor stored on the storage device and configured to extract an entity from a first web document and a second web document and to determine an importance contribution element from each of the web documents; a weight calculator configured to calculate weights of each entity based on the determined importance contribution elements; and a similar document detection unit configured to determine whether the web documents are similar documents based on the calculated weights.

Abstract: According to exemplary embodiments of the invention, a location-based keyword recommending system and method are provided. The location-based keyword recommending system may include a keyword collecting unit to store location information regarding a location where a keyword is input, a region setting unit to set a virtual region by performing clustering of the location information with reference to the keyword, a region combining unit to combine virtual regions overlapping each other into one virtual region, and a keyword recommending unit to provide a location-based keyword based on the keyword related to the location information of the virtual region.

Abstract: Provided are a system and method for computing a total travel time according to a transportation type, based, in part, on a waiting time to wait for traveling in the transportation. A system for computing a necessary time for travel may include an input unit to receive a starting point and a destination point, and a necessary time computing unit to compute a necessary time taken to travel from the starting point to the destination point, by adding a waiting time and a travel time, thereby minimizing an error in computing the necessary time for travel.

Abstract: A test apparatus for a liquid crystal display device includes: a stage having a substrate thereon; a plurality of light emitting diodes (LEDs) on the stage and supplying a light to the substrate; a heating nozzle supplying a hot air to the substrate; a needle applying a test signal to the substrate; and a microscope inspecting the needle and the substrate.

Abstract: A test apparatus for a liquid crystal display device includes: a stage having a substrate thereon; a plurality of light emitting diodes (LEDs) on the stage and supplying a light to the substrate; a heating nozzle supplying a hot air to the substrate; a needle applying a test signal to the substrate; and a microscope inspecting the needle and the substrate.

Abstract: A worm detection method and apparatus using an ARP packet are disclosed. The worm detection method and apparatus using an ARP packet according to the present invention can be easily implemented, and the driving load of program is less. Since a common characteristic of worm is used, it is possible to easily detect and remove all types of worms with only one time execution on a common computer.