Mark J Lavin

US Patent:

60442085, Mar 28, 2000

Filed:

Apr 30, 1998

Appl. No.:

9/070834

Inventors:

Evanthia Papadopoulou - Elmsford NY
Mark Alan Lavin - Katonah NY

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1750

US Classification:

39550005

Abstract:

An efficient method to compute critical area for shorts and breaks in rectilinear layouts in Very Large Scale Integrated (VLSI) circuits. The method is incremental and works in the L. sub. infin. geometry and has three major steps: Compute critical area for rectilinear layouts for both extra material and missing material defects (i. e. , shorts and opens) by modeling defects as squares (which corresponds to the L. sub. infin. metric) instead of circles (Euclidean geometry). Treat the critical region for shorts and opens between any two edges or corners of the layout as a rectangle that grows uniformly as the defect radius increases. This is valid for rectilinear layouts and square defects (L. sub. infin. metric). Use an incremental critical area algorithm for shorts and opens, which are computed for rectilinear layouts assuming square defects.

US Patent:

62478532, Jun 19, 2001

Filed:

May 26, 1998

Appl. No.:

9/085093

Inventors:

Evanthia Papadopoulou - Elmsford NY
Mark Alan Lavin - Katonah NY
Gustavo Enrique Tellez - Cornwall on Hudson NY
Archibald John Allen - Shelburne VT

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1750

US Classification:

39550005

Abstract:

An efficient computer implemented method computes critical area for via blocks in Very Large Scale Integrated (VLSI) circuits. The method is incremental and takes advantage of the hierarchy in the design. In order to increase the efficiency further we use the L. sub. infin. or the L. sub. 1 metric instead of the Euclidean geometry.

US Patent:

20200112488, Apr 9, 2020

Filed:

Aug 20, 2019

Appl. No.:

16/546276

Inventors:

- Valhalla NY, US
Younghun Kim - Pleasantville NY, US
Tarun Kumar - Chappaqua NY, US
Mark A. Lavin - Katonah NY, US
Giuliano Andrea Pagani - Groningen, NL
Abhishek Raman - Mahopac NY, US

International Classification:

H04L 12/24
G06N 7/00

Abstract:

A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.

US Patent:

20180210976, Jul 26, 2018

Filed:

Jan 23, 2017

Appl. No.:

15/412306

Inventors:

- Armonk NY, US
Younghun Kim - White Plains NY, US
Tarun Kumar - Mohegan Lake NY, US
Mark A. Lavin - Katonah NY, US
Srivats Shukla - Yorktown Heights NY, US
Wander S. Wadman - Bussum, NL
Kevin Warren - Hopewell Junction NY, US

International Classification:

G06F 17/50

Abstract:

Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.

US Patent:

20160283850, Sep 29, 2016

Filed:

Mar 23, 2015

Appl. No.:

14/665316

Inventors:

- Armonk NY, US
Younghun Kim - White Plains NY, US
Tarun Kumar - Mohegan Lake NY, US
Mark A. Lavin - Katonah NY, US
Giuliano Andrea Pagani - Groningen, NL
Abhishek Raman - Mahopac NY, US

International Classification:

G06N 7/00
G06N 99/00

Abstract:

A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.

US Patent:

20160285675, Sep 29, 2016

Filed:

Jun 22, 2015

Appl. No.:

14/745727

Inventors:

- Armonk NY, US
Younghun Kim - White Plains NY, US
Tarun Kumar - Mohegan Lake NY, US
Mark A. Lavin - Katonah NY, US
Giuliano Andrea Pagani - Groningen, NL
Abhishek Raman - Mahopac NY, US

International Classification:

H04L 12/24

Abstract:

A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.