Patents by Inventor Seung In Bang
Seung In Bang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240192638Abstract: A holographic display apparatus and a hologram optimization method for the apparatus are provided. The holographic display apparatus includes a focus-forming optical element configured to form a plurality of foci by receiving plane waves; a collimating lens configured to propagate, as plane waves, light incident through the plurality of foci; and a spatial light modulator configured to generate a holographic image by overlapping a plurality of plane waves incident from the collimating lens.Type: ApplicationFiled: December 30, 2021Publication date: June 13, 2024Inventors: Byoungho LEE, Dukho LEE, Kiseung BANG, Seung-Woo NAM
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Publication number: 20240194861Abstract: An anode active material for a secondary battery according to an embodiment of the disclosed technology includes an anode current collector, a first anode active material layer on at least one surface of the anode current collector and including a graphite-based active material and a silicon-based active material doped with a metal element, and a second anode active material layer on the first anode active material layer and including a porous structure. The porous structure includes a carbon-based particle having pores and a silicon-containing coating formed inside the pores or on a surface of the carbon-based particle.Type: ApplicationFiled: December 7, 2023Publication date: June 13, 2024Inventors: Jun Hee HAN, Moon Sung KIM, Hyo Mi KIM, Sang Baek RYU, Seung Hyun YOOK, Hwan Ho JANG, Da Bin CHUNG, Da Hye PARK, Sang In BANG, Young Mo YANG, Ju Ho CHUNG
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Publication number: 20240186485Abstract: An anode for a lithium secondary battery includes an anode current collector, and a first anode active material layer and a second anode active material layer sequentially stacked on at least one surface of the anode current collector. The first anode active material layer and the second anode active material layer includes a first silicon-based active material and a second silicon-based active material, respectively.Type: ApplicationFiled: November 14, 2023Publication date: June 6, 2024Inventors: Da Hye PARK, Jun Hee HAN, Moon Sung KIM, Hyo Mi KIM, Sang Baek RYU, Seung Hyun YOOK, Hwan Ho JANG, Da Bin CHUNG, Sang In BANG
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Patent number: 11991675Abstract: Disclosed are a frame transmission method using a selective beamforming and a communication apparatus to perform the frame transmission method. The communication apparatus may determine a beamforming matrix based on classification information in which a plurality of subcarriers used for communication is classified into a plurality of frequency units, may map a long training field (LTF) sequence to the beamforming matrix, and transmit a beamforming training (BF-T) frame including the mapped LTF sequence to a plurality of stations, may receive, from the plurality of stations having receiving the BF-T frame, feedback information generated based on a reception strength of the BF-T frame, and may allocate frequency units to data frames to be transmitted to the plurality of stations based on the feedback information, and transmit the data frames using the allocated frequency units. The reception strength of the BF-T frame may be determined at each station for each frequency unit.Type: GrantFiled: November 10, 2020Date of Patent: May 21, 2024Assignee: Electronics and Telecommunications Research InstituteInventors: Yu Ro Lee, Jae Woo Park, Jae Seung Lee, Jee Yon Choi, Il Gyu Kim, Seung Chan Bang
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Publication number: 20240127835Abstract: An electronic device includes a communication circuit, a speaker, and a processor. The processor is configured to identify a bitrate of a first audio bitstream received via the communication circuit from an external electronic device. The processor is configured to obtain, in response to the bitrate lower than a reference value, an audio signal by executing a bandwidth extension (BWE) for the first audio bitstream based on at least one coding parameter obtained from a second audio bitstream previously received via the communication circuit from the external electronic device before the first audio bitstream. The processor is configured to obtain, in response to the bitrate higher than or equal to the reference value, the audio signal for the first audio bitstream without executing the BWE. The processor is configured to output, based on the audio signal, audio via the speaker.Type: ApplicationFiled: October 9, 2023Publication date: April 18, 2024Inventors: Hyunwook KIM, Kyoungho BANG, Hangil MOON, Jaeha PARK, Hyunchul YANG, Seung HEO
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Publication number: 20240120974Abstract: A wireless communication method and apparatus in a wireless local area network (WLAN) system are disclosed. A wireless communication method according to one embodiment may include generating a high-efficiency Wi-Fi (HEW) frame including at least one of an HEW-SIG-A field and an HEW-SIG-B field which include channel information for communications according to an Orthogonal Frequency-Division Multiple Access (OFDMA) mode, and transmitting the generated HEW frame to a reception apparatus.Type: ApplicationFiled: December 21, 2023Publication date: April 11, 2024Inventors: Yu Ro LEE, Jae Woo PARK, Jae Seung LEE, Jee Yon CHOI, Il Gyu KIM, Seung Chan BANG
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Publication number: 20240097104Abstract: The technology and implementations disclosed in this patent document generally relate to a lithium secondary battery including: a first unit cell including a first anode including a 1-1 anode mixture layer and a 1-2 anode mixture layer on the 1-1 anode mixture layer, and a second unit cell including a second anode including a 2-1 anode mixture layer and a 2-2 anode mixture layer on the 2-1 anode mixture layer, wherein a weight ratio of the silicon-based active material in the 1-2 anode mixture layer is greater than a weight ratio of the silicon-based active material in the 1-1 anode mixture layer, and a weight ratio of the silicon-based active material in the 2-2 anode mixture layer is less than or equal to a weight ratio of the silicon-based active material in the 2-1 anode mixture layer.Type: ApplicationFiled: August 2, 2023Publication date: March 21, 2024Inventors: Jun Hee HAN, Moon Sung KIM, Hyo Mi KIM, Sang Baek RYU, Da Hye PARK, Sang In BANG, Seung Hyun YOOK, Hwan Ho JANG, Da Bin CHUNG
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Patent number: 11936792Abstract: A computing method for privacy-preserving data analysis is provided, in which the computing method is performed by at least one processor and includes receiving a data analysis request including data-to-be-analyzed from a client, homomorphically encrypting the data-to-be-analyzed using an encryption engine, and uploading the homomorphically encrypted data-to-be-analyzed to a target path of a blockchain, and then, the method includes, based on the request to check analysis result, decrypting an analysis result of the homomorphically encrypted data stored in a designated path of the blockchain by using the encryption engine, and providing the decrypted analysis result to the client, in which the analysis result of the homomorphically encrypted data is data analyzed by a worker linked to the blockchain, and stored in a designated path in association with the target path of the blockchain.Type: GrantFiled: November 26, 2021Date of Patent: March 19, 2024Assignees: Common Computer Inc, Desilo IncInventors: Minhyun Kim, Dongil Seo, Sooyong Bang, Seonghwa Yun, Youngseo Yoo, Sanghee Choi, Minsu Lee, Yong Dae An, Seung Woo Jung, Jung Ho Moon
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Publication number: 20240076127Abstract: Provided is a ceiling storage system capable of correcting a working position and constantly checking stability of a structure by detecting an amount of change in a facility. According to the ceiling storage system, a transport vehicle moves to an upper portion of a first storage area of a plurality of storage areas in a state of gripping an article, and the transport vehicle measures a first distance value between the transport vehicle and the first storage area using a distance sensor and measures a relative position value between the transport vehicle and the first storage area using a vision sensor, before unloading the article from the first storage area.Type: ApplicationFiled: May 23, 2023Publication date: March 7, 2024Inventors: Sang Kyung LEE, Seung Gyu KANG, Hyun Jae KANG, Young Wook KIM, Sang A BANG, Yong-Jun AHN, Min Kyun LEE, Hyun Woo LEE, Jeong Hun LIM, Jun Hyuk CHANG
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Publication number: 20230297840Abstract: Disclosed herein is a learning method of a neural network model for flame determination. The learning method of a neural network includes generating a learning image including a fake image generated by combining a real fire image and an arbitrary flame image with a background image; inputting the learning image to a first neural network model and outputting a determination result for whether a flame is present; and updating a weight in a layer extracting features of the learning image from the first neural network model using the determination result. According to the present invention, data of various fire situations may be secured, a performance of the neural network model that determines an occurrence of the fire through the secured data may be increased, and a quality of data for learning may be increased to allow the neural network model itself to predict various situations of fires.Type: ApplicationFiled: May 25, 2023Publication date: September 21, 2023Applicant: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Patent number: 11687787Abstract: Disclosed herein is a learning method of a neural network model for flame determination. The learning method of a neural network includes generating a learning image including a fake image generated by combining a real fire image and an arbitrary flame image with a background image; inputting the learning image to a first neural network model and outputting a determination result for whether a flame is present; and updating a weight in a layer extracting features of the learning image from the first neural network model using the determination result. According to the present invention, data of various fire situations may be secured, a performance of the neural network model that determines an occurrence of the fire through the secured data may be increased, and a quality of data for learning may be increased to allow the neural network model itself to predict various situations of fires.Type: GrantFiled: June 24, 2021Date of Patent: June 27, 2023Assignee: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Patent number: 11487153Abstract: A backlight device includes: a light source to emit coherent light; an optical path difference generator on the light source, the optical path difference generator including an incident surface and a plurality of light emitting surfaces, the light emitting surfaces being parallel to the incident surface and having different separation distances from the incident surface; a light condenser on the optical path difference generator; a diffuser on the light condenser; and a collimator on the diffuser.Type: GrantFiled: August 24, 2020Date of Patent: November 1, 2022Assignees: Samsung Display Co., Ltd., Seoul National University R&DB FoundationInventors: Sang Ho Kim, Duk Ho Lee, Young Chan Kim, Ki Seung Bang, Chang Won Jang, Ji Won Lee, Cheon Myeong Lee, Byoung Ho Lee
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Publication number: 20220245818Abstract: The present invention relates to a neural network for object segmentation. A method for object segmentation using a trained neural network according to an embodiment of the present invention includes receiving a segmentation target image, splitting the target image into unit images having a predetermined size, outputting a unit activation map for the split unit image as a first segmentation result by using the neural network, merging the unit activation map, and outputting a second segmentation result according to the merged unit activation map, in which the neural network is trained by mutually using the entire activation map for the target image and the merged activation map. According to the present invention, it is possible to generate a more accurate object segmentation result, and generate a label using the segmentation result and use the generated label for training of a neural network.Type: ApplicationFiled: January 26, 2022Publication date: August 4, 2022Applicant: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Publication number: 20220207363Abstract: The present invention relates to a method for training a neural network for object detection. The method includes receiving a detection target image, splitting the detection target image into unit images having a predetermined size, defining an output of the neural network for the split unit images as a first label value, generating a first deformed image by deforming the unit image according to a first rule, and training the neural network by using an output of the neural network for the first deformed image and a loss of the first label value. According to the present invention, it is possible to efficiently train a neural network for detecting an object in a large screen.Type: ApplicationFiled: December 29, 2021Publication date: June 30, 2022Applicant: GYNETWORKS CO., LTD.Inventors: Gang Seok Son, Seung On Bang
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Publication number: 20210319318Abstract: Disclosed herein is a learning method of a neural network model for flame determination. The learning method of a neural network includes generating a learning image including a fake image generated by combining a real fire image and an arbitrary flame image with a background image; inputting the learning image to a first neural network model and outputting a determination result for whether a flame is present; and updating a weight in a layer extracting features of the learning image from the first neural network model using the determination result. According to the present invention, data of various fire situations may be secured, a performance of the neural network model that determines an occurrence of the fire through the secured data may be increased, and a quality of data for learning may be increased to allow the neural network model itself to predict various situations of fires.Type: ApplicationFiled: June 24, 2021Publication date: October 14, 2021Applicant: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Patent number: 11074501Abstract: Disclosed herein is a learning method of a neural network model for flame determination. The learning method of a neural network includes generating a learning image including a fake image generated by combining a real fire image and an arbitrary flame image with a background image; inputting the learning image to a first neural network model and outputting a determination result for whether a flame is present; and updating a weight in a layer extracting features of the learning image from the first neural network model using the determination result. According to the present invention, data of various fire situations may be secured, a performance of the neural network model that determines an occurrence of the fire through the secured data may be increased, and a quality of data for learning may be increased to allow the neural network model itself to predict various situations of fires.Type: GrantFiled: October 25, 2019Date of Patent: July 27, 2021Assignee: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Publication number: 20210088849Abstract: A backlight device includes: a light source to emit coherent light; an optical path difference generator on the light source, the optical path difference generator including an incident surface and a plurality of light emitting surfaces, the light emitting surfaces being parallel to the incident surface and having different separation distances from the incident surface; a light condenser on the optical path difference generator; a diffuser on the light condenser; and a collimator on the diffuser.Type: ApplicationFiled: August 24, 2020Publication date: March 25, 2021Inventors: Sang Ho KIM, Duk Ho LEE, Young Chan KIM, Ki Seung BANG, Chang Won JANG, Ji Won LEE, Cheon Myeong LEE, Byoung Ho LEE
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Publication number: 20210019617Abstract: Disclosed herein is a learning method of a neural network model for flame determination. The learning method of a neural network includes generating a learning image including a fake image generated by combining a real fire image and an arbitrary flame image with a background image; inputting the learning image to a first neural network model and outputting a determination result for whether a flame is present; and updating a weight in a layer extracting features of the learning image from the first neural network model using the determination result. According to the present invention, data of various fire situations may be secured, a performance of the neural network model that determines an occurrence of the fire through the secured data may be increased, and a quality of data for learning may be increased to allow the neural network model itself to predict various situations of fires.Type: ApplicationFiled: October 25, 2019Publication date: January 21, 2021Applicant: GYNETWORKS CO., LTD.Inventor: Seung On Bang
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Patent number: 10311615Abstract: A device and method for providing an augmented reality (AR) image are provided. The device includes a display configured to alternately display a first image including an object at an object position and a second image including a mask for blocking transmission of light incident on the display at the object position; a processor configured to determine a time period and control the display to alternately display the first image and the second image during the time period; and a polarization switch configured alternately polarize the light incident on the display at a switching period determined based on the time period.Type: GrantFiled: June 14, 2017Date of Patent: June 4, 2019Assignees: SAMSUNG ELECTRONICS CO., LTD., SEOUL NATIONAL UNIVERSITY R&DB FOUNDATIONInventors: Jae-woo Ko, Byoung-ho Lee, Byung-hyo Lee, Ki-seung Bang, Chang-won Jang
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Publication number: 20180089871Abstract: A device and method for providing an augmented reality (AR) image are provided. The device includes a display configured to alternately display a first image including an object at an object position and a second image including a mask for blocking transmission of light incident on the display at the object position; a processor configured to determine a time period and control the display to alternately display the first image and the second image during the time period; and a polarization switch configured alternately polarize the light incident on the display at a switching period determined based on the time period.Type: ApplicationFiled: June 14, 2017Publication date: March 29, 2018Applicants: SAMSUNG ELECTRONICS CO., LTD., SEOUL NATIONAL UNIVERSITY R&DB FOUNDATIONInventors: Jae-woo KO, Byoung-ho LEE, Byung-hyo LEE, Ki-seung BANG, Chang-won JANG