Abstract: Provided are a compound represented by Chemical Formula 1, a photoelectric device, an image sensor, and an electronic device including the same. In Chemical Formula 1, the definition of each substituent is as described in the specification.

Abstract: A superconducting quantum interferometric device (SQUID) includes: a conductive material region formed on a partial region of a substrate; a first superconducting material layer including a first loop including first and second extension units that are spaced apart from each other to form a proximity Josephson junction and that form a stack structure with the conductive material region; a second superconducting material layer including a second loop including first and second end units spaced apart from each other; and a tunnel Josephson junction formed by a stack structure including a tunnel thin film layer forming and the first and second end units, wherein at least a portion of the second loop forms a stack structure with the first loop.

Abstract: Apparatus, systems and methods for fracturing calcium in an artery of a patient. Certain embodiments include a diode laser light source and an optical fiber. In particular embodiments, the optical fiber comprises a polymer or glass optical core, a cladding surrounding the polymer or glass optical core. The optical fiber can comprise one or more emission elements configured to emit electromagnetic energy from the laser light source. The electromagnetic energy can be transmitted through a fluid in the expandable member to fracture the calcium.

Abstract: The present disclosure relates to a cable-based force feedback control apparatus capable of automatically determining the unspecified number and positions of cable haptic apparatus and performing force feedback control based on the determination result and a control method for the apparatus. A force feedback control apparatus and a control method for the apparatus according to the present disclosure may freely change the number and positions of haptic modules, may be installed according to various screen sizes, and may automatically detect the number and positions of the haptic devices, thereby achieving scalability.

Abstract: The present disclosure relates to a tree-search based trajectory planning and resource management method and apparatus of an unmanned aerial vehicle base station. The tree-search based trajectory planning and resource management method of an unmanned aerial vehicle base station according to an embodiment of the present disclosure includes: decomposing an optimization problem of trajectory planning, user association (UA), resource allocation (RA), and power control (PC) related to the unmanned aerial vehicle base station into a time axis; managing resources by jointly optimizing variables of the UA, RA, and PC for an arbitrary location of the unmanned aerial vehicle base station; and obtaining the trajectory planning by obtaining position variables based on the obtained predetermined function value and a depth-first search (DFS) algorithm.

Abstract: A sulfur-doped silicon negative electrode material, a preparation method for a sulfur-doped silicon negative electrode material, a negative electrode for a lithium secondary battery comprising the sulfur-doped silicon negative electrode material, and a lithium secondary battery comprising the negative electrode, wherein the sulfur-doped silicon negative electrode material has an internal pore channel having an average width of 500 nm to 3 ?m and an average external diameter of 1 ?m to 5 ?m.

Abstract: The present invention relates to a sample holder on which a crystal sample for serial crystallography is mounted, or the like. Compared to an existing sample holder, the sample holder according to the present invention can be manufactured by a very simple manufacturing process and at low costs, and does not physically and chemically affect other equipment therearound while collecting X-ray diffraction data. Therefore, it is possible to stably operate a beam line, to increase beam time efficiency, and further to perform raster scanning so that many diffraction images can be obtained even in a small-sized chip. In addition, since the problem of evaporation of a crystallized solution does not occur even when the crystallized solution is stored in the air for a long time, the sample holder is generally easy to use compared to a previously reported sample holder.

Abstract: A method for estimating parameters of a model that is non-linear and is more complex than a log-linear model, the method may include feeding measured observations and sampling coordinates of the measured observations to a machine learning process; and processing the measured observations and the sampling coordinates of the measured observations, by the machine learning process, to provide an estimate of the parameters of the model; wherein the model is indicative of a relationship between the measured observations and the sampling coordinates.

Abstract: A semiconductor cleaning composition includes: a hydrophobic polymer, an organic acid; and a solvent, wherein the hydrophobic polymer includes a first allotrope and a second allotrope, wherein the first allotrope is nonpolar, wherein the second allotrope is polar, and wherein the second allotrope is about 5% to about 20% of the hydrophobic polymer.

Abstract: Disclosed in a CASCODE device in which multiple transistors are stacked in a vertical direction and connected in series. The CASCODE device exhibits improvements in device/circuit intrinsic gain (GmRo) that is a performance index for analog/RF applications, cutoff frequency (Ft), and maximum oscillation frequency (Fmax). A method of manufacturing the CASCODE device is also disclosed.

Abstract: Provided is a method of fabricating a micro/nanowire having a nanometer- to micrometer-sized diameter at predetermined positions on an object. The method comprises: preparing a micro/nanopipette having a tip with an inner diameter (dpt) which is substantially the same as the diameter of the micro/nanowire to be fabricated; filling the micro/nanopipette with a solution containing a micro/nanowire-forming material; bringing the solution into contact with the object through the tip of the micro/nanopipette; and pulling the micro/nanopipette apart from the object at a pulling speed lower than or equal to a predetermined critical pulling speed (vc) to fabricate a micro/nanowire having substantially the same diameter as the inner diameter of the micro/nanopipette tip (dpt). The critical pulling speed (vc) is defined by a maximum limit of the pulling speed at which the micro/nanowire to be fabricated has the same diameter as the inner diameter of the micro/nanopipette tip (dpt).

Abstract: An image processing device may perform a method for generating 3D HDR radiance fields, and the method may include: receiving an input of low dynamic range (LDR) images, which are captured at various viewpoints; constructing the 3D high dynamic range (HDR) radiance fields from the LDR images captured at the various viewpoints; generating an HDR image by ray marching on a basis of the 3D HDR radiance fields; generating a tone-mapped LDR image from the HDR image through a tone mapping module; calculating a loss value on a basis of the LDR images captured at the various viewpoints and the tone-mapped LDR image; and modifying parameters of the 3D HDR radiance fields and parameters of the tone-mapping module, so as to maximally minimize the loss value. The LDR images captured at the various viewpoints may be images captured under photometric conditions different from each other.

Abstract: Disclosed are a method of estimating PV model parameters and a method and an apparatus for data-based PV fault detection and diagnosis using a PV model. The method comprises: substituting five parameters of a PV current, a diode saturation current, a diode ideality factor, a series resistance, and a parallel resistance into an output equation of a single diode model for PV modeling of a PV module; computing an MAEP in an output by comparing power-voltage (P-V) curve values of the PV module obtained from the single diode model, which is a PV simulation model, and P-V curve values of the PV module, which is an actual PV module, when the voltage is zero, the open-circuit voltage, or a specific data value increased as much as a preset intensity; and selecting parameters representing a minimum MAEP among a plurality of stored MAEPs as parameters of the PV simulation model.

Abstract: Disclosed are a shade detection and global maximum power point tracking method and apparatus for photovoltaic power conversion. The method comprises: setting an array voltage at a first duty and an array current at a second duty among data sheet values of a PV array of a PV module as a reference array voltage and a reference array current, respectively; calculating a MPP resistance of the PV array based thereon; calculating a duty to be applied to a switch of a boost converter of the PV module based on the MPP resistance; obtaining an actual array voltage and an actual array current of the PV array based on the duty; and determining whether a uniform shade case occurs based on the actual array voltage, the actual array current, and actual power.

Abstract: Embodiments provide an organic compound, an organic ligand, an optoelectronic device including the organic compound or the organic ligand, an electronic apparatus including the optoelectronic device, an electronic equipment including the electronic apparatus, and an organic semiconductor thin film including the organic compound or the organic ligand.

Abstract: A method for generating a super-resolution video by using a multi-camera video may comprise: generating a resolution-improved ultra-wide-angle video frame at an arbitrary time step by inputting an ultra-wide-angle video frame of a first resolution at the arbitrary time step, ultra-wide-angle video frames right before and right after the arbitrary time step, and a wide-angle video frame for reference at the arbitrary time step, to a bidirectional neural network, wherein the generating of the resolution-improved ultra-wide-angle video frame is performed using accumulated information at a past time step based on the arbitrary time step, and accumulated information at a future time step based on the arbitrary time step, and wherein a second resolution, which is a resolution of the generated ultra-wide-angle video frame, is greater than the first resolution.

Abstract: A few-shot learning method according to the present disclosure includes obtaining an image and a segmentation prediction for the image and learning, when a query image is provided with a pre-learned model, the model based on the image and a segmentation index to simultaneously perform classification and segmentation of a specific region from the query image, in which the model includes an attentive squeeze network (ASNet), does not perform the classification when an object with low relevance exists in the query image, and performs the classification and segmentation when an object with high relevance exists in the query image.

Abstract: A microneedle patch according to one embodiment of the present disclosure includes: a base including an invasive part and a non-invasive part; and a microneedle located in the invasive part of the base, wherein at least a portion of the microneedle is loaded with drug, and no microneedle is located in the non-invasive part.

Abstract: A detailed 3-dimensional (3D) object reconstruction method, executed by a computing device, may comprise: obtaining Laplacian coordinates with local details and direction and size information for of curvatures on a 3D surface defined by an input point cloud; and converting the Laplacian coordinates to absolute coordinates using a mesh for the 3D surface and Laplacian coordinates for each vertex of the mesh and a Laplace-Beltrami operator.

Abstract: A method comprising: generating a parametrized three-dimensional (3D) body surface model on a training set comprising a plurality of 3D scans of subjects, wherein at least some of said 3D scans are of subjects having a skeletal deformity; receiving one or more target 3D scans of a target subject; optimizing said body surface model with respect to said one or more target 3D scans to calculate a target body surface model of said target subject; training a skeletal estimation model on a training set comprising: (i) body surface models of a plurality of subjects, and (ii) skeletal landmarks sets of said plurality of subjects; and applying said trained skeletal estimation model to said calculated target body surface model of said target subject, to estimate a skeletal shape of said target subject.