Abstract: A biometric authentication device including an infrared luminescent unit configured to emit infrared light with an infrared wavelength; a depth sensing unit configured to receive the infrared light reflected on a vein of an object placed within a preset distance of the depth sensing unit; a controller configured to control the depth sensing unit to obtain a first vein image of a first object and calculate a first distance value corresponding to a first distance between the depth sensing unit and the first object, and store the first vein image and the first distance value in a memory as registration information.

Abstract: An organometallic compound represented by Formula 1: M(L1)n1(L2)n2??Formula 1 wherein, in Formula 1, M, L1, L2, n1 and n2 are each the same as defined in the detailed description of the specification.

Abstract: Generating a new chemical structure by using a neural network using an expression region that expresses a particular property in a descriptor or an image for a reference chemical structure. The new chemical structure may be generated by changing a partial structure in the reference chemical structure that corresponds to the expression region.

Abstract: A biometric authentication device including an infrared luminescent unit configured to emit infrared light with an infrared wavelength; a depth sensing unit configured to receive the infrared light reflected on a vein of an object placed within a preset distance of the depth sensing unit; a controller configured to control the depth sensing unit to obtain a first vein image of a first object and calculate a first distance value corresponding to a first distance between the depth sensing unit and the first object, and store the first vein image and the first distance value in a memory as registration information.

Abstract: A method of generating a molecular structure includes generating, based on a predetermined number of a plurality of nodes, all possible two-dimensional (2D) graphs and a plurality of edges representing connections between the plurality of nodes and, for each 2D graph from among the generated 2D graphs, generating all possible molecular structures based on the 2D graph by substituting each of the plurality of nodes with a polygonal ring structure including carbon atoms and substituting the edges with bonds between polygonal ring structures. Also, a method includes substituting at least one of carbon atoms included in the polygonal ring structures with an atom other than a carbon atom.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a substrate including a trench. The semiconductor device further includes a gate electrode disposed in the trench, and a gate insulating film disposed between the substrate and the gate electrode. The gate electrode includes a gate conductor and a metal element, and an effective work function of the gate electrode is less than an effective work function of the gate conductor.

Abstract: A method of generating a chemical structure performed by a neural network device includes receiving a target property value and a target structure characteristic value; selecting first generation descriptors; generating second generation descriptors; determining, using a first neural network of the neural network device, property values of the second generation descriptors; determining, using a second neural network of the neural network device, structure characteristic values of the second generation descriptors; selecting, from the second generation descriptors, candidate descriptors that satisfy the target property value and the target structure characteristic value; and generating, using the second neural network of the neural network device, chemical structures for the selected candidate descriptors.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a substrate including a trench. The semiconductor device further includes a gate electrode disposed in the trench, and a gate insulating film disposed between the substrate and the gate electrode. The gate electrode includes a gate conductor and a metal element, and an effective work function of the gate electrode is less than an effective work function of the gate conductor.

Abstract: An organometallic compound represented by Formula 1: wherein, in Formula 1, groups and variables are the same as described in the specification.

Abstract: A structure-generating method for generating a structure candidate of a new material including: by a structure-generating processor: performing machine learning on a machine learning model, wherein the machine learning model is configured to provide a result based on a descriptor of a material, a physical property of the material, and a structure of the material; and generating a structure candidate of the new material based on the result of the machine learning, wherein the new material has a target physical property, and wherein the descriptor of the material, the physical property of the material, and the structure of the material are stored in a database.

Abstract: A method for searching a new material includes: performing a learning on a material model, which is modeled based on a known material; determining a candidate material by inputting a targeted physical property to a result of the learning; and determining the new material from the candidate material.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a substrate including a trench. The semiconductor device further includes a gate electrode disposed in the trench, and a gate insulating film disposed between the substrate and the gate electrode. The gate electrode includes a gate conductor and a metal element, and an effective work function of the gate electrode is less than an effective work function of the gate conductor.

Abstract: Provided is an apparatus of separating a musical sound source, which may re-construct mixed signals into target sound sources and other sound sources directly using sound source information performed using a predetermined musical instrument when the sound source information is present, thereby more effectively separating sound sources included in the mixed signal. The apparatus may include a Nonnegative Matrix Partial Co-Factorization (NMPCF) analysis unit to perform an NMPCF analysis on a mixed signal and a predetermined sound source signal using a sound source separation model, and to obtain a plurality of entity matrices based on the analysis result, and a target instrument signal separating unit to separate, from the mixed signal, a target instrument signal corresponding to the predetermined sound source signal by calculating an inner product between the plurality of entity matrices.

Abstract: Embodiments of the present disclosure include a catalyst for the conversion of CO and/or hydrocarbons in an exhaust stream including a Sn compound selected from the group consisting of a binary composition comprising Sn and Ti, a ternary composition comprising Sn, Ti and Zr, and mixtures of any thereof. In those embodiments, the binary composition may include Sn(X)Ti(y)O2, wherein x+y=1, 0.85>y>0. In other embodiments of the present disclosure, the Sn compound includes a ternary composition including Sn(a)Ti(b)Zr(c)O2, wherein a is 0.25, b is 0.25 and c is 0.5. Certain embodiments of this disclosure include a method for the conversion of CO in an exhaust stream, including contacting an exhaust stream containing CO with the catalyst described above containing a Sn compound. In other embodiments, the exhaust stream includes hydrocarbons.

Abstract: Provided is an apparatus of separating a musical sound source, which may re-construct mixed signals into target sound sources and other sound sources directly using sound source information performed using a predetermined musical instrument when the sound source information is present, thereby more effectively separating sound sources included in the mixed signal. The apparatus may include a Nonnegative Matrix Partial Co-Factorization (NMPCF) analysis unit to perform an NMPCF analysis on a mixed signal and a predetermined sound source signal using a sound source separation model, and to obtain a plurality of entity matrices based on the analysis result, and a target instrument signal separating unit to separate, from the mixed signal, a target instrument signal corresponding to the predetermined sound source signal by calculating an inner product between the plurality of entity matrices.

Abstract: Embodiments of the present disclosure include a catalyst for the conversion of CO and/or hydrocarbons in an exhaust stream including a Sn compound selected from the group consisting of a binary composition comprising Sn and Ti, a ternary composition comprising Sn, Ti and Zr, and mixtures of any thereof. In those embodiments, the binary composition may include Sn(X)Ti(y)O2, wherein x+y=1, 0.85>y>0. In other embodiments of the present disclosure, the Sn compound includes a ternary composition including Sn(a)Ti(b)Zr(c)O2, wherein a is 0.25, b is 0.25 and c is 0.5. Certain embodiments of this disclosure include a method for the conversion of CO in an exhaust stream, including contacting an exhaust stream containing CO with the catalyst described above containing a Sn compound. In other embodiments, the exhaust stream includes hydrocarbons.