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Hyojin Kim

from Danville, CA
Age ~42
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Also known as:
Hyo Jin Kim, Hyo J Kim, Hyo-Jin J Kim, Jin Kim Hyo
Related to:
Mi Hye Kim, 61Keunsung Kim, 65Boomi Kim, 34Jaesung Park, 54Hoang Phan, 69
Connected to:
Abe Kim, 48Adrienne P Kim, 49Ae J KimAlana M Kim, 27Alissa A Kim, 33Allan H Kim, 55Alton Kim, 67Alvin U Kim, 52Analia Kim, 38Anatole S Kim, 67

Hyojin Kim Phones & Addresses

  • Danville, CA
  • Albany, CA
  • San Jose, CA
  • Davis, CA
  • San Rafael, CA
  • 2021 Francisco St APT 303, Berkeley, CA 94709

Resumes

Resumes

Hyojin Kim Photo 1

Hyojin Kim San Francisco, CA

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Work:
Academy of Art University
San Francisco, CA
Feb 2013 to May 2013
An Illustrator of 3rd edition of Peephole Magazine
YSKON
Gumi
Jun 2010 to Aug 2010
Special event Planner
Education:
Academy of Art University
San Francisco, CA
2009 to 2013
Bachelor of Fine Arts in Illustration
Skills:
Graphic Illustration, Editorial interactive illustration, Art Licensing, Print, Interactive design.

Publications

Us Patents

Methods And Apparatus For Preparation Of Casual Stereoscopic Video

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US Patent:
20130128992, May 23, 2013
Filed:
Nov 30, 2010
Appl. No.:
12/956965
Inventors:
Viswanathan Swaminathan - Saratoga CA, US
Hyojin Kim - Davis CA, US
International Classification:
H04N 13/00
H04N 7/30
H04N 7/26
US Classification:
37524026, 37524018, 348E13001, 375E072, 375E07226
Abstract:
A pair of video streams is prepared for stereoscopic display. A pair of frames is rectified. Each of the pair of frames is from a respective stream of the pair of video streams. A reduced video stream is generated by removing from one of the pair of video streams a set of correlative data that is present in or can be predicted from the other of the pair of video streams. The reduced video stream and the other of the pair of video streams are compressed for use in stereoscopic display of the reduced video stream and the other of the pair of video streams.

Compositions, Formulations And Interleukin Production And Purification

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US Patent:
20210154304, May 27, 2021
Filed:
Feb 5, 2021
Appl. No.:
17/169390
Inventors:
- South San Francisco CA, US
Randall J. Mrsny - Los Altos Hills CA, US
Kevin Yin - Palo Alto CA, US
Tahir Mahmood - Burlingame CA, US
Bittoo Kanwar - San Francisco CA, US
Sally Postlethwaite - Redwood City CA, US
Weijun Feng - Danville CA, US
Sean Dalziel - South San Francisco CA, US
Hyojin Kim - San Carlos CA, US
Rajendra Tandale - Atwater CA, US
Marvin Garovoy - Sausalito CA, US
John Koleng - Austin TX, US
International Classification:
A61K 47/34
C07K 14/54
A61K 47/38
A61K 47/32
Abstract:
Described herein are cholix-IL-10 fusion proteins, and methods of use thereof, which can be characterized by a distinct response in an individual when administered. This distinct response can comprise changes in levels of one or more markers in the individual and/or co-localization of IL-10 in the lamina propria of the individual. Further described herein, in some embodiments, are oral formulations of the cholix-IL-10 fusion proteins. Described herein are methods for the purification of an IL-10 delivery construct, including methods for refolding and enrichment, which can result in maintenance of a high percentage of the IL-10 delivery constructs in the biologically active dimer form. Described herein are oral formulations configured for site-specific release of a therapeutic protein in the small intestines or colon. In some cases, the therapeutic protein is in the form of a dimer, such as an IL-10 delivery construct capable of crossing the gut epithelium.

Methods For Depositing Molybdenum Sulfide

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US Patent:
20210087677, Mar 25, 2021
Filed:
Sep 22, 2020
Appl. No.:
17/028156
Inventors:
- Santa Clara CA, US
HyoJin Kim - San Jose CA, US
Assignee:
Applied Materials, Inc. - Santa Clara CA
International Classification:
C23C 16/30
C23C 16/02
C23C 16/56
C23C 16/455
H01L 27/108
Abstract:
Methods of depositing a molybdenum sulfide film with increased sulfur:molybdenum ratio are described. The methods include pre-cleaning a dielectric material with oxygen radicals prior to formation of a molybdenum sulfide film that has a lower oxygen content than would be formed without the pre-cleaning.

Methods Of Patterning A Wafer Substrate

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US Patent:
20190362965, Nov 28, 2019
Filed:
Apr 26, 2019
Appl. No.:
16/396173
Inventors:
- Santa Clara CA, US
HyoJin KIM - San Jose CA, US
Srinivas D. NEMANI - Sunnyvale CA, US
Seshadri RAMASWAMI - Saratoga CA, US
Ellie Y. YIEH - San Jose CA, US
International Classification:
H01L 21/02
H01L 23/29
H01L 21/027
H01L 21/311
Abstract:
Embodiments of the present disclosure provide for patterned substrates and methods of forming a patterned substrate, particularly a self-assembly pattern on a surface of a substrate, such as a host substrate, subsequently used in a chip to wafer (C2W) direct bonding process. In one embodiment, a method of patterning a substrate includes depositing a first material layer on a surface of a substrate, depositing a resist layer on the first material layer, patterning the resist layer to form a plurality of openings therethrough, transferring the pattern in the resist layer to the first material layer to form a plurality of self-assembly regions each comprising a hydrophilic assembly surface, and removing the resist layer to expose one or more hydrophobic bounding surfaces. Herein, the first material layer comprises a hydrophobic material.

Multi-Scale Deep Learning System

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US Patent:
20190114510, Apr 18, 2019
Filed:
Oct 12, 2017
Appl. No.:
15/782771
Inventors:
- Livermore CA, US
Hyojin Kim - Livermore CA, US
Jayaraman J. Thiagarajan - Livermore WA, US
International Classification:
G06K 9/62
G06K 9/20
G06K 9/46
G06T 7/11
G06T 7/143
G06N 7/00
Abstract:
A system for identifying objects in an image is provided. The system identifies segments of an image that may contain objects. For each segment, the system generates a segment score by inputting to a multi-scale neural network windows of multiple scales that include the segment that have been resampled to a fixed window size. A multi-scale neural network includes a feature extracting convolutional neural network (“feCNN”) for each scale and a classifier that inputs each feature of each feCNN. The segment score indicates whether the segment contains an object. The system generates a pixel score for pixels of the image. The pixel score for a pixel indicates that that pixel is within an object based on the segment scores of segments that contain that pixel. The system then identifies the object based on the pixel scores of neighboring pixels.

Identification Of Uncommon Objects In Containers

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US Patent:
20180025253, Jan 25, 2018
Filed:
Aug 11, 2017
Appl. No.:
15/675496
Inventors:
- Livermore CA, US
Hyojin Kim - Livermore CA, US
Jayaraman J. Thiagarajan - Livermore WA, US
International Classification:
G06K 9/62
G06T 7/11
G06T 7/10
G06T 7/00
Abstract:
A system for identifying in an image an object that is commonly found in a collection of images and for identifying a portion of an image that represents an object based on a consensus analysis of segmentations of the image. The system collects images of containers that contain objects for generating a collection of common objects within the containers. To process the images, the system generates a segmentation of each image. The image analysis system may also generate multiple segmentations for each image by introducing variations in the selection of voxels to be merged into a segment. The system then generates clusters of the segments based on similarity among the segments. Each cluster represents a common object found in the containers. Once the clustering is complete, the system may be used to identify common objects in images of new containers based on similarity between segments of images and the clusters.

Identification Of Uncommon Objects In Containers

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US Patent:
20160335524, Nov 17, 2016
Filed:
May 12, 2015
Appl. No.:
14/709741
Inventors:
- Livermore CA, US
Hyojin Kim - Livermore CA, US
Jayaraman J. Thiagarajan - Livermore WA, US
International Classification:
G06K 9/62
G06T 7/00
Abstract:
A system for identifying in an image an object that is commonly found in a collection of images and for identifying a portion of an image that represents an object based on a consensus analysis of segmentations of the image. The system collects images of containers that contain objects for generating a collection of common objects within the containers. To process the images, the system generates a segmentation of each image. The image analysis system may also generate multiple segmentations for each image by introducing variations in the selection of voxels to be merged into a segment. The system then generates clusters of the segments based on similarity among the segments. Each cluster represents a common object found in the containers. Once the clustering is complete, the system may be used to identify common objects in images of new containers based on similarity between segments of images and the clusters.
Control profile
Hyojin Kim from Danville, CA, age ~42 Get Report