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Seungoh Ryu

from Newton, MA
Age ~61
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Also known as:
Seungoh Ryui, Seungho Ryu, Ryu Seungoh, H Ryu
Phone and address:
110 Parker St, Newton, MA 02459
(617) 527-0275
Related to:
Alana Lee
Connected to:
Alison Ryu, 27Byungwoo Ryu, 56David E Ryu, 49Dojin Ryu, 58Eileen Ryu, 32Heejin Ryu, 49Inkyung Ryu, 38Inuk Ryu, 51Jane Ryu, 37Jichang Ryu, 59

Seungoh Ryu Phones & Addresses

  • 110 Parker St, Newton Center, MA 02459 (617) 527-0275
  • Newton, MA
  • 62 Limekiln Rd, Ridgefield, CT 06877 (203) 438-3840
  • 629 Danbury Rd, Ridgefield, CT 06877 (203) 438-3840
  • Fayetteville, GA
  • Stanford, CA
  • Hilliard, OH
  • 110 Parker St, Newton Center, MA 02459

Work

Position: Food Preparation and Serving Related Occupations

Education

Degree: High school graduate or higher

Resumes

Resumes

Seungoh Ryu Photo 1

App Developer / Theoretical Physicist

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Position:
Chief Programmer at iStormApps
Location:
Greater Boston Area
Industry:
Computer Software
Work:
iStormApps since Jan 2011
Chief Programmer
Schlumberger Doll Research - Ridgefield, CT; Cambridge, MA 1997 - 2010
Senior Research Scientist
Math Game House software - Ridgefield, CT 2003 - 2005
Chief Programmer
Education:
Stanford University 1987 - 1994
PhD, Applied Physics Seoul National University 1985 - 1987
MS, Experimental Physics Seoul National University 1981 - 1985
BS, Physics
Seungoh Ryu Photo 2

Seungoh Ryu

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Seungoh Ryu
Soc signatory
MATH GAME HOUSE LLC
110 Parker St, Newton Center, MA 02459

Publications

Us Patents

Nuclear Magnetic Resonance Method And Apparatus For Determining Pore Characteristics Of Rocks And Other Porous Materials

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US Patent:
6369567, Apr 9, 2002
Filed:
Mar 19, 1999
Appl. No.:
09/272964
Inventors:
Seungoh Ryu - Ridgefield CT
Assignee:
Schlumberger Technology Corporation - Ridgefield CT
International Classification:
G01V 300
US Classification:
324303
Abstract:
A method for determining a pore characteristic of a substance includes the following steps: subjecting the substance to a substantially uniform static magnetic field; applying a magnetic pulse sequence to the substance, the pulse sequence being selected to produce nuclear magnetic resonance signals that are responsive to internal magnetic field inhomogeneities in the pore structure of the substance, and detecting, as measurement signals, nuclear magnetic resonance signals from the substance; applying a reference magnetic pulse sequence to the substance, the reference pulse sequence being selected to produce nuclear magnetic resonance signals that are substantially unresponsive to internal magnetic field inhomogeneities in the pore structure of the substance, and detecting, as reference measurement signals, nuclear magnetic resonance signals from the substance; and determining a pore characteristic of the substance from the measurement signals and the reference measurement signals.

Microfluidic Downhole Density And Viscosity Sensor

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US Patent:
20090120168, May 14, 2009
Filed:
Nov 8, 2007
Appl. No.:
11/937078
Inventors:
Christopher Harrison - Auburndale MA, US
Antoine Fornari - Boulogne-Billancourt, FR
Celine Giroux - Rembercourt, FR
Isabelle Etchart - Paris, FR
Dan E. Angelescu - Cambridge MA, US
Seungoh Ryu - Newton Centre MA, US
Kai Hsu - Sugar Land TX, US
Jacques Jundt - Newton Highlands MA, US
Hua Chen - Cambridge MA, US
Matthew Sullivan - Belmont MA, US
Anthony Robert Holmes Goodwin - Sugar Land TX, US
Assignee:
SCHLUMBERGER TECHNOLOGY CORPORATION - Cambridge MA
International Classification:
G01N 11/10
G01N 9/00
US Classification:
73 5424, 73 32 A
Abstract:
The present invention recited a method and apparatus for providing a parameter of a fluid within a fluid channel using a MEMS resonating element in contact with the fluid moving through the fluid channel. Additionally an actuating device associated with the MEMS resonating element is further provided, such that the actuating device can induce motion in the MEMS resonating element. In communication with the MEMS resonating element is an interpretation element capable of calculating a parameter of the fluid moving through the fluid channel based upon data from the MEMS resonating element upon actuation by the actuating device.

Magnetic Resonance Logging Method And Apparatus

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US Patent:
61337358, Oct 17, 2000
Filed:
Nov 24, 1998
Appl. No.:
9/198535
Inventors:
Martin D. Hurlimann - Ridgefield CT
Seungoh Ryu - Ridgefield CT
Pabitra N. Sen - Ridgefield CT
Assignee:
Schlumberger Technology Corporation - Ridgefield CT
International Classification:
G01V 300
US Classification:
324303
Abstract:
A technique is provided for determining a nuclear magnetic resonance characteristic of formations surrounding an earth borehole, including the following steps: providing a logging device that is moveable through the borehole; providing, on the logging device, first and second coils having respective axes that are generally orthogonal; producing, at the logging device, a prepolarizing signal; applying pulse sequence signals to the first and second coils, the pulse sequence signals implementing repeated refocusing of spins in the formations by both adiabatic and non-adiabatic reorienting of the spins to form spin echoes; and detecting, at the logging device, the spin echoes from the formations, the spin echoes being indicative of the nuclear magnetic resonance characteristic of the formations.

Scene-Based Sensor Networks

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US Patent:
20220342476, Oct 27, 2022
Filed:
Jul 11, 2022
Appl. No.:
17/862294
Inventors:
- Palo Alto CA, US
Andrew Augustine Wajs - Haarlem, NL
Seungoh Ryu - Newton MA, US
Chien Lim - San Jose CA, US
International Classification:
G06F 3/00
H04N 5/247
H04N 7/18
H04N 5/232
G06F 11/30
Abstract:
An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.

Security For Scene-Based Sensor Networks, With Access Control

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US Patent:
20220329571, Oct 13, 2022
Filed:
Jan 20, 2022
Appl. No.:
17/580531
Inventors:
- Palo Alto CA, US
Andrew Augustine Wajs - Haarlem, NL
Seungoh Ryu - Newton MA, US
Chien Lim - San Jose CA, US
International Classification:
H04L 9/40
G06F 21/62
G06F 21/57
G11B 27/28
G06V 20/40
G06V 20/52
G06F 21/10
G11B 27/34
H04L 9/32
H04N 7/18
Abstract:
Security and access control is provided for sensor devices, the data captured by sensor devices, and the results of processing and analyzing that data. In one aspect, SceneData related to a Scene is requested from a sensor-side technology stack and at least some of the SceneData is secured, for example by encryption. Different SceneData can be secured separately and at different levels of security, thus providing fine-grained security of the SceneData. In yet another aspect, data security is implemented by a separate privacy management system. In yet another aspect, sensor devices themselves are secured against external network threats. The sensor device includes an execution environment and a separate network management layer that secures the execution environment against threats from the external network. In one implementation, the sensor device is partitioned into a trusted region and a non-trusted region, and the network security stack is implemented in the trusted region.

Scene Marking

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US Patent:
20210397848, Dec 23, 2021
Filed:
Sep 1, 2021
Appl. No.:
17/464615
Inventors:
- Palo Alto CA, US
Andrew Augustine Wajs - Haarlem, NL
Seungoh Ryu - Newton MA, US
Chien Lim - San Jose CA, US
International Classification:
G06K 9/00
G06K 9/62
Abstract:
The present disclosure overcomes the limitations of the prior art by providing approaches to marking points of interest in scenes. In one aspect, a Scene of interest is identified based on SceneData provided by a sensor-side technology stack that includes a group of one or more sensor devices. The SceneData is based on a plurality of different types of sensor data captured by the sensor group, and typically requires additional processing and/or analysis of the captured sensor data. A SceneMark marks the Scene of interest or possibly a point of interest within the Scene.

Scene-Based Sensor Networks

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US Patent:
20210223853, Jul 22, 2021
Filed:
Mar 16, 2021
Appl. No.:
17/203347
Inventors:
- Palo Alto CA, US
Andrew Augustine Wajs - Haarlem, NL
Seungoh Ryu - Newton MA, US
Chien Lim - San Jose CA, US
International Classification:
G06F 3/00
H04N 5/247
H04N 7/18
H04N 5/232
G06F 11/30
Abstract:
An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.

Portable Reading, Multi-Sensory Scan And Vehicle-Generated Motion Input

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US Patent:
20210056866, Feb 25, 2021
Filed:
Aug 21, 2020
Appl. No.:
17/000246
Inventors:
Seungoh Ryu - Newton MA, US
Benjamin Ryu - Newton MA, US
International Classification:
G09B 21/00
Abstract:
A device compensating limits of humans senses, includes a receiver receiving information in a first sense, a converter converting the received information into information in a second sense and a presenter that presents the converted information. In an embodiment, the first sense is the vision and the receiver receives visual information comprising texts, wherein the second sense is auditory sense or tactile sensation, and the receiver comprises an ingestion layer that ingests information from a target object. In another embodiment, the receiver ingests the full audio or visual sensory stimuli, and takes the portion that is blocked for the sensory deprivation of the user, and the converter extracts environmental cues contained therein by applying machine intelligence logic and makes trans-sensory conversion to their synthetic representation.
Control profile
Seungoh Ryu from Newton, MA, age ~61 Get Report