Abstract: The present invention relates to a device and a method of detecting arbitrarily piled objects, and a device and a method for picking a detected object. The present invention may provide a device and a method of detecting an object, which extract a unique local characterized part of the object by using a visual sensor, detect an object region, and estimate a posture from the detected object region. Also the present invention may provide an object picking system capable of being applied to an actual production process, such as assembling or packaging, in a cell producing method.

Abstract: Disclosed is a working method using a sensor, which increases recognition of a component to increase mounting of a component and enhancing productivity. The working method includes: extracting an object to be picked from a pile of objects using the sensor; picking the extracted object to move the picked object to a predetermined place; and estimating an angle of the moved object in the current position using the sensor. Accordingly, the working method can perform precise component recognition and posture estimation by two steps: a component picking step and a component recognition step, and effectively apply to a manufacturing line, thereby improving mounting of a component and enhancing productivity of a product.

Abstract: Disclosed are a bin-picking system and a bin-picking method. A bin-picking system includes a transformable bin-picking box; a supporting unit configured to support the bottom part of the bin-picking box and be movable upward and downward; and a control unit configured to change an alignment of at least one bin-picking candidate object by transforming the bin-picking box by controlling a movement of the supporting unit if no bin-picking target object is detected from the at least one bin-picking candidate object existing inside bin-picking box and placed on the supporting unit to facilitate detection of a bin-picking target object and bin-picking.

Abstract: In one example, a three dimensional resistive memory architecture includes adjacent memory tiles with each tile including a multilevel resistive crossbar. array and at least one decoder. The multilevel crossbar array includes layers of row crossbars, layers of column crossbars, and layers of resistive memory elements interposed between cross points of the row crossbars and the column crossbars, in which at least one layer of crossbars extends from a first tile through an adjacent tile and is used to address resistive memory elements in the adjacent tile. The at least one decoder underlies the multilevel resistive crossbar array and includes an address matrix comprising digital lines and analog lines, in which the digital lines select which crossbars are connected to the analog lines.

Abstract: An electronic device includes a semiconductor memory. The semiconductor memory includes a plurality of first planes and a plurality of second planes which are disposed over a substrate and alternately stacked in a vertical direction over the substrate, where each of the first planes includes a plurality of first lines which extends in a first direction parallel to the substrate and each of the second planes includes a plurality of second lines which extends in a second direction parallel to the substrate and intersecting with the first direction, a plurality of variable resistance patterns which is interposed between each of the first planes and each of the second planes, each of the variable resistance patterns being disposed at a cross point between a first line and a corresponding second lines, and an air-gap which is disposed between neighboring variable resistance patterns.

Abstract: Provided are an ethanol dehydration catalyst having a high ethylene yield even at a low temperature region, as an ethanol dehydration catalyst for converting a feedstock including anhydrous ethanol or hydrous ethanol to ethylene, and a method of preparing ethylene by using the same. In the ethanol dehydration catalyst for converting a feedstock including anhydrous ethanol or hydrous ethanol to ethylene of the present invention, the catalyst includes 0.1 wt % to 0.5 wt % of lanthanum (La) or 0.05 wt % to 1 wt % of gallium (Ga) in ZSM-5.

Abstract: Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.

Abstract: A method of maintaining diesel particulate filter (DPF) regeneration for improving durability of a DPF, may include determining, by a controller, whether a vehicle enters an idle state during the DPF regeneration, controlling, by the controller, a concentration of oxygen introduced into the DPF to be equal to or less than a first reference value when the vehicle enters the idle state, and performing, by the controller, a regeneration process until a soot mass in the DPF may be equal to or less than a target reference value.

Abstract: A display control method includes displaying at least a portion of a page, in which one or more content regions including contents are arranged, on a screen image; recognizing a scrolling operation with respect to the page; and scrolling the page based on the scrolling operation and applying an animation with respect to content included in a content region exposed on the screen image as the page is scrolled.

Abstract: A resistive memory device includes a lower electrode disposed on a substrate, first and second resistance layers respectively disposed on opposite sides of the lower electrode and exhibiting resistance variation at different voltages, respectively, and an upper electrode disposed on and the first and second resistance layers.

Abstract: Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.

Abstract: A method for fabricating a semiconductor device includes forming a first conductive pattern and a first pad over a substrate; forming a first and a second resistance variable elements over the first conductive pattern and the first pad, respectively; performing impurity doping into the second resistance variable element to produce a conductive contact; and forming a second conductive pattern over the first resistance variable element.

Abstract: An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.

Abstract: The present invention relates to a device and a method of detecting arbitrarily piled objects, and a device and a method for picking a detected object. The present invention may provide a device and a method of detecting an object, which extract a unique local characterized part of the object by using a visual sensor, detect an object region, and estimate a posture from the detected object region. Also the present invention may provide an object picking system capable of being applied to an actual production process, such as assembling or packaging, in a cell producing method.

Abstract: Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

Abstract: An electronic device includes a semiconductor memory. The semiconductor memory includes a plurality of first planes and a plurality of second planes which are disposed over a substrate and alternately stacked in a vertical direction over the substrate, where each of the first planes includes a plurality of first lines which extends in a first direction parallel to the substrate and each of the second planes includes a plurality of second lines which extends in a second direction parallel to the substrate and intersecting with the first direction, a plurality of variable resistance patterns which is interposed between each of the first planes and each of the second planes, each of the variable resistance patterns being disposed at a cross point between a first line and a corresponding second lines, and an air-gap which is disposed between neighboring variable resistance patterns.

Abstract: Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

Abstract: An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.

Abstract: Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention. The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

Abstract: A method for tracking an object in an object tracking apparatus includes receiving an image frame of an image; and detecting a target, a depth analogous obstacle and an appearance analogous obstacle; tracking the target, the depth analogous obstacle and the appearance analogous obstacle; when the detected target overlaps the depth analogous obstacle, comparing the variation of tracking score of the target with that of the depth analogous obstacle. Further, the method includes continuously tracking the target when the variation of tracking score of the target is below that of the depth analogous obstacle and processing a next frame when the variation of tracking score of the target is above that of the depth analogous obstacle; and re-detecting the target.