Jose M Mejias

US Patent:

20080269932, Oct 30, 2008

Filed:

Apr 30, 2007

Appl. No.:

11/742019

Inventors:

Luis Chardon - Aguadilla PR, US
Carlos J. Felix - Isabela PR, US
Jose Mejias - Aguadilla PR, US
William J. Navas - Mayaguez PR, US

International Classification:

G06F 19/00

US Classification:

700 98

Abstract:

Methods and systems for data visualization in a datacenter are described herein. At least some illustrative embodiments comprise a method for monitoring a datacenter, comprising collecting a plurality of real-time data samples from a plurality of data sensors, generating a plurality of processed data values based at least in part on the plurality of real-time data samples, mapping each of the plurality of processed data values to one of a plurality of colors, and displaying the plurality of processed data values as regions of color on one or more two-dimensional (2-D) planes within a three-dimensional (3-D) space representing a datacenter.

US Patent:

7324685, Jan 29, 2008

Filed:

Oct 20, 2003

Appl. No.:

10/689410

Inventors:

Jose M. Mejias Miranda - Aguadilla PR, US

Assignee:

Hewlett-Packard Development Company, L.P. - Houston TX

International Classification:

G06K 9/00

US Classification:

382147, 382146, 382149

Abstract:

In one embodiment, a system comprises logic configured to identify a tip of a pin that has been press fit into a circuit board, logic configured to measure characteristics that pertain to a flat end surface and a chamfered surface of the identified pin tip, logic configured to compare the measured characteristics with at least one of stored reference values and each other, and logic configured to make a final decision as to whether the pin is properly installed based upon results of the comparing performed by the logic configured to compare.

US Patent:

20200258098, Aug 13, 2020

Filed:

Feb 7, 2020

Appl. No.:

16/785356

Inventors:

- Houston TX, US
JOSE M. MEJIAS MIRANDA - Aguadilla PR, US
LUIS RAUL ROMAGUERA - Aguadilla PR, US
DAVID L. PORTUGAL - Houston TX, US
BRENT CURTISS THORN - Houston TX, US
ALEX FERNANDO PINO ORAMA - Aguadilla PR, US

International Classification:

G06Q 30/02
G06N 20/00
G06Q 50/28

Abstract:

Methods and system for enhancing and monitoring demand forecasting through advanced analytics is described. The advanced analytics demand forecasting system and techniques leverage multivariate data, thereby enhancing modeling through the use of data related to a plethora of aspects of the supply chain. Multivariate data can include market data, econometric data, customer data, lifecycle analytics, and an expanded range of historical data (e.g., 15 years). Multivariate data can be fed into an advanced analytics hyper parameter model, which combines time series, as well as machine learning and deep learning algorithms to improve the accuracy of the demand forecast. In some cases, the advanced analytics hyper parameter model is a stacking ensemble model, which combines the predictions of several other models using a stacking ensemble technique, thereby improving the modeled predictions. Accordingly, advanced analytics demand forecasting techniques can provide improved accuracy, and advancements over previous univariate approaches.

US Patent:

20160093077, Mar 31, 2016

Filed:

Dec 2, 2015

Appl. No.:

14/957210

Inventors:

- Houston TX, US
Carlos J. Felix - Isabela PR, US
Jose Mejias - Isabela PR, US
William J. Navas - Mayaguez PR, US

International Classification:

G06T 11/20
G06T 11/00

Abstract:

Methods and systems for data visualization in a datacenter are described herein. At least some illustrative embodiments comprise a method for monitoring a datacenter, comprising collecting a plurality of real-time data samples from a plurality of data sensors, generating a plurality of processed data values based at least in part on the plurality of real-time data samples, mapping each of the plurality of processed data values to one of a plurality of colors, and displaying the plurality of processed data values as regions of color on one or more two-dimensional (2-D) planes within a three-dimensional (3-D) space representing a datacenter.