Patents Assigned to Seoul National University R&DB Foundation
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Publication number: 20240269666Abstract: A microdroplet ejection apparatus is provided, the apparatus including an inlet port through which a suspension is movable in one direction, a nozzle including a nozzle cover connected to the inlet port and formed of a transparent material, a nozzle body connected to the nozzle cover and configured to eject the suspension, and a nozzle base formed of a transparent material and provided on an opposite side of the nozzle cover with respect to the nozzle body, an outlet port connected to the nozzle cover and configured to emit the suspension remaining after the suspension is ejected from the nozzle from the suspension to an outside of the nozzle, and a piezo actuator attached to one surface of the nozzle cover or one surface of the nozzle base and driven so that the suspension ejects from the nozzle body by applying pressure to the attached surface.Type: ApplicationFiled: December 15, 2023Publication date: August 15, 2024Applicant: Seoul National University R&DB FoundationInventors: Ho-Young Kim, Hyun-Woo Kim
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Publication number: 20240273218Abstract: An apparatus with a neural network operation of homomorphic encrypted data includes: one or more processors configured to: generate homomorphic conjugation data of encrypted data based on the encrypted data, wherein the encrypted data corresponds to an output of each of a plurality of layers included in a neural network; and remove noise of the encrypted data based on the encrypted data and the homomorphic conjugation data.Type: ApplicationFiled: October 31, 2023Publication date: August 15, 2024Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun UniversityInventors: Jong Seon NO, Eun Sang LEE, Joon Woo LEE, Young Sik KIM, Yongjune KIM, Jung Hyun LEE
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Publication number: 20240273376Abstract: A method and device with transferal of reinforcement learning are disclosed. The method includes: approximating an optimal value-function for a task vector using a value approximator trained to output a minimum value-function using a state of an agent and source task vectors; determining an upper bound of the optimal value-function for the task vector; determining a lower bound of the optimal value-function for the task vector; correcting the optimal value-function for the task vector based on the upper bound and the lower bound; and determining an optimal policy for the task vector using the corrected optimal value-function for the task vector.Type: ApplicationFiled: September 27, 2023Publication date: August 15, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Minsu KO, Jae Kyeom KIM, Gun Hee KIM, Seo Hong PARK, Sungjoo SUH
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Publication number: 20240254636Abstract: Disclosed herein is a technique for synthesizing chiral magnetic nanocoils using an electrodeposition technique, which can be used to fabricate magnetic nanosensors capable of generating an electric field by strongly reacting to an external magnetic field, such as Faraday's law of electromagnetic induction at the nanoscale, depending on the coil shape of the nanostructure. In accordance with one embodiment, a method of synthesizing a chiral magnetic nanocoil may include generating a primary particle composed of metal ions by applying an external electric field, binding a chiral molecule to a surface of the generated primary particle, and controlling an assembly direction of a next primary particle by the bound chiral molecule.Type: ApplicationFiled: December 20, 2023Publication date: August 1, 2024Applicants: Korea University Research and Business Foundation, KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY, Seoul National University R&DB FoundationInventors: Young Keun KIM, Yoo Sang JEON, Eunjin JEONG, Sung Jong YOO, Ki Tae NAM, Sang Won IM
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Patent number: 12052822Abstract: An electronic device includes: a host box comprising a host processor configured to control an operation of the electronic device, a host motherboard in which the host processor is disposed, and a host power supply unit (PSU) configured to supply power to a component connected to the host motherboard; and one or more extension boxes controlled by the host box, wherein each of the one or more extension boxes comprises an extension motherboard independent of the host box, and an extension PSU independent of the host box and configured to supply power to a component connected to the extension motherboard.Type: GrantFiled: July 14, 2021Date of Patent: July 30, 2024Assignees: Samsung Electronics Co., Ltd., Seoul National University R&DB FoundationInventors: Seung Wook Lee, Jangwoo Kim, Pyeongsu Park
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Publication number: 20240246092Abstract: A filter manufacturing method includes: folding a filter media up and down and forming a wrinkle shape composed of a plurality of bent parts and a connection part connecting adjacent bent parts among the plurality of bent parts; and forming a conductive coating layer pattern on the filter media. The filter manufacturing method further includes: electrically connecting a first end and a second end of the conductive coating layer pattern to a first power source. In particular, the conductive coating layer pattern includes a plurality of parallel patterns, and the plurality of parallel patterns are formed to be positioned on the connection part.Type: ApplicationFiled: April 4, 2024Publication date: July 25, 2024Applicants: HYUNDAI MOTOR COMPANY, KIA CORPORATION, Seoul National University R&DB FoundationInventors: Dong Ho Kwon, Gee Young Shin, Myung Hoe Kim, Seung Sik Han, Seung Hwan Ko, Sung Geun Han, Jin Mo Kim
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Publication number: 20240238966Abstract: A snap-through joint module is provided. The snap-through joint module includes a first member having a first internal space to which pneumatic pressure is applied, a second member having a second internal space to which pneumatic pressure is applied, a snap joint portion configured to connect the first member to the second member and capable of a snap-through movement by pneumatic pressure applied to the first member and the second member, and a controller configured to control pneumatic pressure applied to the first internal space and the second internal space.Type: ApplicationFiled: December 14, 2023Publication date: July 18, 2024Applicant: Seoul National University R&DB FoundationInventors: Ho-Young Kim, Ji-Sung Park
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Publication number: 20240242072Abstract: An apparatus and method with out-of-distribution data detection is provided. The apparatus includes one or more processors configured to execute instructions; and one or more memories storing the instructions, wherein, the execution of the instructions by the one or more processors configures the one or more processors to generate output data using a neural network model provided input data; determine, based on the output data, a maximum loss value among calculated loss values that correspond to neighboring data within a reference distance from the input data; and detect, based on the maximum loss value and a threshold, whether the input data is out-of-distribution (OOD) data that is different from in-distribution data corresponding to training data used in a training of the neural network model.Type: ApplicationFiled: July 27, 2023Publication date: July 18, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Jongseok KIM, Seungyong MOON, Hyun Oh SONG
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Publication number: 20240242027Abstract: A method and apparatus for classifying a text using a text classification model are disclosed. In one general aspect, an apparatus is for outputting a classification result for an input text including words by using a text classification model, and the apparatus includes: one or more processors; a memory including instructions configured to cause the one or more processors to: determine whether the input text indicates an anomaly; and responsive to determining that the input text indicates an anomaly: determine saliencies of the respective words; select target words from among the words based on the saliencies; generate a replaced text by replacing, in the input text, the selected words with other words; and obtain a text classification result of the input text based on an inference upon the replaced text by the text classification model receiving the replaced text as an input.Type: ApplicationFiled: June 16, 2023Publication date: July 18, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Jongseok KIM, Hyun Oh SONG, Deok Jae LEE
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Publication number: 20240232581Abstract: A device including processors configured to execute instructions and memories storing the instructions, which when executed by the processors configure the processors to perform an operation for training a transformer model having a plurality of encoders and a plurality of decoders by configuring the processors to identify the batches of training data into a plurality of micro-batches, select layer pairs for the plurality of micro-batches, assemble a processing order of the layer pairs, determining resource information to be allocated to the layer pairs, and allocate resources to the layer pairs based on the determined resource information to be allocated to the layer pairs, dependent con the processing order of the layer pairs.Type: ApplicationFiled: August 16, 2023Publication date: July 11, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Jung Ho AHN, Sun Jung LEE, Jae Wan CHOI
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Publication number: 20240223417Abstract: An equalizer includes an amplifying adder configured to generate an output signal by operating differential input signals and a signal generated by applying an equalization coefficient to a post data signal; and a comparator configured to generate a current data signal by sampling the output signal according to a clock signal, wherein the amplifying adder has a maximum gain when a difference of the differential input signals is within a predetermined range.Type: ApplicationFiled: July 12, 2023Publication date: July 4, 2024Applicant: Seoul National University R&DB FoundationInventors: Jaeyoon KIM, Hyunkyu PARK, Suhwan KIM
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Publication number: 20240221112Abstract: Neural network operation apparatus and method are provided. The neural network operation apparatus includes: one or more processors; and memory storing instructions configured to cause the one or more processors to: generate an upsampled tensor by copying pixels, of a unit of data, based on a scale factor for upsampling; and generate, based on the scale factor, a neural network operation result by performing a pooling operation on the upsampled tensor.Type: ApplicationFiled: November 30, 2023Publication date: July 4, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Hanwoong JUNG, Soonhoi HA, Donghyun KANG
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Publication number: 20240211738Abstract: An apparatus and method with encrypted data neural network operation is provided. The apparatus includes one or more processors configured to execute instructions and one or more memories storing the instructions, wherein the execution of the instructions by the one or more processors configures the one or more processors to generate a target approximate polynomial, approximating a neural network operation, of a portion of a neural network model, using a determined target approximation region, for the target approximate polynomial, based on a first approximate polynomial generated based on parameters corresponding to a generation of the first approximate polynomial, a maximum value of input data to the portion of the neural network layer, and a minimum value of the input data, and generate a neural network operation result using the target approximate polynomial and the input data.Type: ApplicationFiled: October 17, 2023Publication date: June 27, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun UniversityInventors: Jong-Seon NO, Junghyun LEE, Yongjune KIM, Joon-Woo LEE, Young Sik KIM, Eunsang LEE
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Publication number: 20240211737Abstract: An apparatus includes one or more processors configured to execute instructions; and one or more memories storing the instructions; wherein the execution of the instructions by the one or more processors configures the one or more processors to generate an approximate polynomial, approximating a neural network operation, of a portion of a deep neural network model that is configured to receive input data, by using weighted least squares based on parameters corresponding to the generation of the approximate polynomial, a mean of the input data, and a standard deviation of the input data; and generate a homomorphic encrypted data operation result based on the input data and the approximate polynomial that approximates the neural network operation.Type: ApplicationFiled: September 20, 2023Publication date: June 27, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB Foundation, Daegu Gyeongbuk Institute of Science and Technology, Industry Academic Cooperation Foundation, Chosun UniversityInventors: Jong Seon NO, Yongjune KIM, Eun Sang LEE, Jung Hyun LEE, Young Sik KIM, Joon Woo LEE
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Publication number: 20240211743Abstract: A neuron circuit includes: a membrane circuit configured to receive a weighted synaptic current from a synaptic array and receive an adaptive current from an adaptive circuit; a comparator circuit configured to control a pulse generation circuit in response to a voltage of the membrane circuit exceeding a predetermined threshold voltage; the pulse generation circuit configured to control the membrane circuit and the adaptive circuit based on an output signal from the comparator circuit and generate a pulse comprising a firing pattern; and the adaptive circuit, connected to the membrane circuit and the pulse generation circuit, and configured to determine the firing pattern of the pulse generation circuit.Type: ApplicationFiled: June 1, 2023Publication date: June 27, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Sung Min LEE, Sangbum KIM
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Publication number: 20240211744Abstract: An apparatus includes: memories storing data to perform a neural network operation; processors to generate a neural network operation result by performing a neural network operation by reading the data; and crossbars processing data transmission between the processors and the memories, wherein the crossbars include: a first crossbar of a first group processing data transmission between a first group of the processors and a first group of the memories, a second crossbar of a second group processing data transmission between a second group of the processors and a second group of the memories, wherein the first group of processors does not include any processors that are in the second group of processors and wherein the first group of memories does not include any memories that are in the second group of memories, and a third crossbar connecting the first crossbar to the second crossbar.Type: ApplicationFiled: July 27, 2023Publication date: June 27, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Hanwoong JUNG, Soonhoi HA, Keonjoo LEE, Changjae YI
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Publication number: 20240197816Abstract: A treatment of rejection of a transplant by a recipient of the transplant is disclosed. Methods for prolonging transplant survival in a recipient of the transplant, prolonging survival of the recipient, delaying and/or suppressing delayed graft function in the recipient, and/or reducing the amount of an immunosuppressant administered for transplantation. The methods include providing the transplant with a CHP or a pharmaceutically acceptable salt thereof is disclosed. Also provided is a method for the production of a pharmaceutical composition for the treatment of a transplant allowing modulating transplant survival in a recipient of the transplant.Type: ApplicationFiled: December 8, 2023Publication date: June 20, 2024Applicants: NovMetaPharma Co., Ltd., Seoul National University R&DB Foundation, SEOUL NATIONAL UNIVERSITY HOSPITALInventors: Seung Hee Yang, Hoeyune Jung, Jong Min Kim, Yon Su Kim, Heonjong Lee
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Publication number: 20240202527Abstract: A method of processing data is performed by a computing device including processing hardware and storage hardware, the method including: converting, by the processing hardware, a neural network, stored in the storage hardware, from a first neural network format into a second neural network format; obtaining, by the processing hardware, information about hardware configured to perform a neural network operation for the neural network and obtaining partition information; dividing the neural network in the second neural network format into partitions, wherein the dividing is based on the information about the hardware and the partition information, wherein each partition includes a respective layer with an input thereto and an output thereof; optimizing each of the partitions based on a relationship between the input and the output of the corresponding layer; and converting the optimized partitions into the first neural network format.Type: ApplicationFiled: July 17, 2023Publication date: June 20, 2024Applicants: SAMSUNG ELECTRONICS CO., LTD., Seoul National University R&DB FoundationInventors: Seok-Young YOON, Bernhard EGGER, Hyemi MIN, Jaume Mateu CUADRAT
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Patent number: D1033212Type: GrantFiled: June 11, 2020Date of Patent: July 2, 2024Assignees: Seoul National University R&DB Foundation, EURO Engineering Co., Ltd.Inventors: Thomas Hyun Koo Kang, Keun Sam Kim
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Patent number: D1034954Type: GrantFiled: October 8, 2021Date of Patent: July 9, 2024Assignee: Seoul National University R&DB FoundationInventor: Hyun Woo Shin