Abstract: The present disclosure relates to a composition for improving molecular barcoding efficiency and a use thereof, and provided are a method for preparing a DNA library, a molecular barcoding method for nucleic acid sequencing, and a composition for preparing a DNA library. According to the method and composition, by using a barcode sequence arranged to include the position of a first nucleotide in an adapter on the basis of a terminal region of the adapter ligated with a DNA fragment, molecular barcoding switching can be reduced and the accuracy of nucleic acid sequencing can be improved.

Abstract: The present invention relates to a feed composition using perilla meal, in which the ratio of omega-3 (omega-3) fatty acid and omega-6 (omega-6) fatty acid is adjusted to 1:4 or less to obtain livestock products, such as meat or milk, containing a large amount of unsaturated fatty acid. More specifically, the present invention related to a feed composition using perilla meal to produce livestock products with the ratio of omega-3 to omega-6 fatty acids being 1:4 or less which is a recommended ratio of the World Health Organization (WHO).

Abstract: An image segmentation model training apparatus according to a disclosed embodiment includes a predictor, which generates a plurality of original masks using an unlabeled original image set and a pre-trained image segmentation model, a label generator, which generates a synthesized image set based on the original image set and the plurality of original masks, and generates a plurality of pseudo labels based on the synthesized image set, a pre-processor, which generates a training image set by performing pseudo labeling on the original image set and the synthesized image set using the plurality of pseudo labels, and a model trainer, which further trains the image segmentation model based on the training image set.

Abstract: An apparatus of labeling for object detection according to an embodiment of the present disclosure includes an image selector that determines a plurality of labeling target images from among a plurality of unlabeled images, and determines a labeling order of the plurality of labeling target images, a feedback obtainer that obtains label inspection information on the plurality of labeling target images from a user, and a model trainer that learns the label inspection information input from the user by using the labeling target images, obtains a pseudo label for supervised learning based on a learning result using the label inspection information, and re-determines the labeling order of the labeling target images based on the pseudo label.

Abstract: Provided are a method for managing usage time of an IoT device, and an apparatus therefor. According to the disclosure, a method for managing usage time of an IoT device which flexibly controls a standby mode of an IoT device according to a user's selection, and which enables a user to select an operation method of a standby mode by using an application for minimizing power consumption of an IoT device, and an apparatus therefor are provided.

Abstract: An apparatus for labeling data according to an embodiment of the present disclosure includes a data acquisitor that acquires a plurality of unlabeled data, a predicted label acquisitor that acquires predicted labels for the unlabeled data from a plurality of pre-training models pre-trained under different learning schemes, a sampler that selects a part of the unlabeled data as an initial review target, an initial review label acquisitor that acquires an initial review label for the part of the unlabeled data from a user, a model trainer that trains a labeling model based on the part of the unlabeled data, predicted labels for the part of the unlabeled data, and the initial review label, and a predictor that predicts labels of a part of the remaining unlabeled data excluding the part of the unlabeled data by applying the labeling model to the part of the remaining unlabeled data.

Abstract: An image sensor including: a first photodiode; a first circuit including an overflow transistor and a first transfer transistor connected to the first photodiode, a switch element connected to the first transfer transistor and a capacitor disposed between the first transfer transistor and the switch element, wherein the capacitor is a physical capacitor; a second photodiode; and a second circuit including a second transfer transistor connected to the second photodiode, a reset transistor connected to an output of the first circuit and a driving transistor connected to the second transfer transistor and the output of the first circuit.

Abstract: In accordance with an aspect of the present disclosure, there is provided a method for recognizing a pose performed by a pose recognition device. The method comprises, acquiring first position information on a portion and remaining portion of a body part which is a target of pose recognition, inputting the first position information on the remaining portion into a three-dimensional skeleton model, acquiring second position information on the remaining portion of the body part according to a calculation based on anatomical characteristics of the three-dimensional skeleton model, and recognizing the pose of the body part based on the first position information and the second position information.

Abstract: An image sensor including: a first photodiode; a first circuit including an overflow transistor and a first transfer transistor connected to the first photodiode, a switch element connected to the first transfer transistor and a capacitor disposed between the first transfer transistor and the switch element, wherein the capacitor is a physical capacitor; a second photodiode; and a second circuit including a second transfer transistor connected to the second photodiode, a reset transistor connected to an output of the first circuit and a driving transistor connected to the second transfer transistor and the output of the first circuit.

Abstract: An image segmentation model training apparatus according to a disclosed embodiment includes a predictor, which generates a plurality of original masks using an unlabeled original image set and a pre-trained image segmentation model, a label generator, which generates a synthesized image set based on the original image set and the plurality of original masks, and generates a plurality of pseudo labels based on the synthesized image set, a pre-processor, which generates a training image set by performing pseudo labeling on the original image set and the synthesized image set using the plurality of pseudo labels, and a model trainer, which further trains the image segmentation model based on the training image set.

Abstract: An image projection device includes: a panel unit configured to emit light rays; a projection optical system configured to receive the light rays emitted from the panel unit and to refract the light rays; a reflection unit having a reflection surface for receiving the light rays refracted by the projection optical system and reflecting the light rays; and a screen unit configured to display an image upon receiving the light rays reflected from the reflection surface. The panel unit, the projection optical system, the reflection unit, and the screen unit are arranged such that a distance of a shortest path among paths extending from the panel unit to the reflection unit through the projection optical system along a predetermined linear axis is longer than a distance of a longest path among paths extending from the reflection unit to the screen unit along the predetermined linear axis.

Abstract: In accordance with an aspect of the present disclosure, there is provided a method for recognizing a pose performed by a pose recognition device. The method comprises, acquiring first position information on a portion and remaining portion of a body part which is a target of pose recognition, inputting the first position information on the remaining portion into a three-dimensional skeleton model, acquiring second position information on the remaining portion of the body part according to a calculation based on anatomical characteristics of the three-dimensional skeleton model, and recognizing the pose of the body part based on the first position information and the second position information.

Abstract: Provided are a method for managing usage time of an IoT device, and an apparatus therefor. According to the disclosure, a method for managing usage time of an IoT device which flexibly controls a standby mode of an IoT device according to a user's selection, and which enables a user to select an operation method of a standby mode by using an application for minimizing power consumption of an IoT device, and an apparatus therefor are provided.

Abstract: An image sensor including: a first photodiode; a first circuit including an overflow transistor and a first transfer transistor connected to the first photodiode, a switch element connected to the first transfer transistor and a capacitor disposed between the first transfer transistor and the switch element, wherein the capacitor is a physical capacitor; a second photodiode; and a second circuit including a second transfer transistor connected to the second photodiode, a reset transistor connected to an output of the first circuit and a driving transistor connected to the second transfer transistor and the output of the first circuit.

Abstract: An image sensor including: a first photodiode; a first circuit including an overflow transistor and a first transfer transistor connected to the first photodiode, a switch element connected to the first transfer transistor and a capacitor disposed between the first transfer transistor and the switch element, wherein the capacitor is a physical capacitor; a second photodiode; and a second circuit including a second transfer transistor connected to the second photodiode, a reset transistor connected to an output of the first circuit and a driving transistor connected to the second transfer transistor and the output of the first circuit.

Abstract: Deep brain stimulation of the ventral pallidum (VP-DBS) prevents or potently attenuates epileptiform activity and behavioral seizures. VP-DBS prior to pilocarpine prevented behavioral partial and generalized forebrain seizures and generalized brainstem seizures in most animals. VP-DBS after brainstem seizures emerged prevented or reduced the appearance of subsequent behavioral and electrographic brainstem seizures. Even if VP-DBS was turned on after partial forebrain seizures started, this timed approach could still reduce partial forebrain seizures but also prevented secondarily generalized forebrain seizures. Epileptiform activity in brainstem areas, especially in the nucleus of the solitary tract (NTS) which controls cardiovascular function, was prevented by VP-DBS.

Abstract: The present invention relates to a feed composition using perilla meal, in which the ratio of omega-3 (omega-3) fatty acid and omega-6 (omega-6) fatty acid is adjusted to 1:4 or less to obtain livestock products, such as meat or milk, containing a large amount of unsaturated fatty acid. More specifically, the present invention related to a feed composition using perilla meal to produce livestock products with the ratio of omega-3 to omega-6 fatty acids being 1:4 or less which is a recommended ratio of the World Health Organization (WHO).

Abstract: Provided herein is an electronic apparatus including a storage configured to store a texture image representing a characteristic of a particle of an object; and a processor configured to map the texture image to a plurality of locations where the particle exists and to generate a blending image by blending the mapped texture images, and to render the object based on the blending image.

Abstract: An image sensor including: a first photodiode; a first circuit including an overflow transistor and a first transfer transistor connected to the first photodiode, a switch element connected to the first transfer transistor and a capacitor disposed between the first transfer transistor and the switch element, wherein the capacitor is a physical capacitor; a second photodiode; and a second circuit including a second transfer transistor connected to the second photodiode, a reset transistor connected to an output of the first circuit and a driving transistor connected to the second transfer transistor and the output of the first circuit.

Abstract: The present invention provides a controller for a pendulum type wave-power generating apparatus. Electric power produced by wave-power generation has been pointed out as being of low efficiency and more expensive than wind-power generation. To overcome the above problems, the present invention uses resonance and impedance matching of the sea waves, thus making it possible to markedly enhance the efficiency of wave-power generation. The present invention does not use a wave-height meter which is generally expensive and controls the generating apparatus in response to variation of the conditions of the sea, thus automatically maintaining the resonance and impedance matching operation, thereby making high-efficiency operation possible. As a result, the cost of the wave-power generation can be reduced, so that the wave-power generation can be widely commercialized.