Abstract: An apparatus for estimating bio-information includes: a sensor including one or more light sources configured to emit light to an object and a plurality of detectors configured to detect light reflected from the object; and a processor configured to transform a plurality of light quantities obtained from respective detectors of the plurality of detectors to a distance domain, to combine the plurality of transformed light quantities in the distance domain, to correct the combined light quantity based on a reference light quantity for correcting a deviation of a distance between the one or more light sources and the plurality of detectors, and to estimate bio-information based on a light quantity resulting from the correction.

Abstract: A semiconductor device is provided. The semiconductor device includes a substrate, an active pattern extending in a first direction on the substrate, a gate electrode extending in a second direction intersecting the first direction on the active pattern, a gate spacer extending in the second direction along side walls of the gate electrode, an interlayer insulating layer contacting side walls of the gate spacer, a trench formed on the gate electrode in the interlayer insulating layer, a first capping pattern provided along side walls of the trench, at least one side wall of the first capping pattern having an inclined profile, and a second capping pattern provided on the first capping pattern in the trench.

Abstract: A semiconductor device includes a substrate having a first power supply region, a second power supply region, and a cell region therein. The cell region extends between the first power supply region and the second power supply region. A first active region and a second active region are provided, which extend side-by-side within the cell region. A first power supply wiring is provided, which extends in the first direction within the first power supply region. A first source/drain contact is provided, which connects the first active region and the second active region. A second source/drain contact is provided, which connects the first active region and the first power supply wiring. The first source/drain contact includes a first recess portion disposed inside an intermediate region between the first active region and the second active region.

Abstract: A semiconductor device includes an active pattern extending in a first direction on a substrate, a gate structure on the active pattern and having a gate electrode extending in a second direction intersecting the active pattern, and a gate capping pattern on the gate electrode, the gate capping pattern including a gate capping liner defining a gate capping recess, the gate capping liner having a horizontal portion along an upper surface of the gate electrode, and a vertical portion extending from the horizontal portion in a third direction intersecting the first and second directions, and a gate capping filling film on the gate capping liner and filling the gate capping recess, an epitaxial pattern on the active pattern and adjacent the gate structure, a gate contact on and connected to the gate electrode, and an active contact on and connected to the epitaxial pattern.

Abstract: A semiconductor device is provided. The semiconductor device includes a substrate, an active pattern extending in a first direction on the substrate, a gate electrode extending in a second direction intersecting the first direction on the active pattern, a gate spacer extending in the second direction along side walls of the gate electrode, an interlayer insulating layer contacting side walls of the gate spacer, a trench formed on the gate electrode in the interlayer insulating layer, a first capping pattern provided along side walls of the trench, at least one side wall of the first capping pattern having an inclined profile, and a second capping pattern provided on the first capping pattern in the trench.

Abstract: A method and system for analyzing competition results is disclosed, the method comprising providing a probability model to analyze competition results including both information about options used for a competition process, and rank information of competition participants; and determining a first parameter about a pure ability of each competition participant, and a second parameter about advantages and disadvantages of the option used for the competition process by analyzing the competition results using the probability model, wherein the first and second parameters are determined by calculating a prior distribution of the second random variable, calculating a likelihood function of the second random variable, and estimating the first and second parameter through the use of the prior distribution of the second random variable and the likelihood function.

Abstract: The present disclosure relates to a method, system and computer readable recording medium for generating a keyword pair for search advertisement based on advertisement purchase history. The method includes acquiring a set of search keywords for each of advertisers having purchased or attempted to purchase the search keywords to place search advertisement or to make an attempt to place the search advertisement, selecting at least two search keywords among the set of keywords, generating a keyword pair of the selected search keywords correlated to each other, and storing information regarding the generated keyword pair. It is possible to provide an improved keyword determination model capable of determining correlated search keywords without processing an enormous amount of data such as search keywords of all users or keywords appearing on all of web pages, thereby enabling more efficient data processing.

Abstract: A method and system for analyzing competition results is disclosed, the method comprising providing a probability model to analyze competition results including both information about options used for a competition process, and rank information of competition participants; and determining a first parameter about a pure ability of each competition participant, and a second parameter about advantages and disadvantages of the option used for the competition process by analyzing the competition results using the probability model, wherein the first and second parameters are determined by calculating a prior distribution of the second random variable, calculating a likelihood function of the second random variable, and estimating the first and second parameter through the use of the prior distribution of the second random variable and the likelihood function.