Michael W Donovan, 39122 E Marylyn Ave, State College, PA 16801

2012015, Jun 14, 2012

Dec 9, 2010

12/964209

ERIK VISNYAK - SAN DIEGO CA, US
MICHAEL DONOVAN - WASHINGTON DC, US
BRIAN LOFY - SAN DIEGO CA, US
JEFF RICE - SAN DIEGO CA, US

BAE SYSTEMS NATIONAL SECURITY SOLUTIONS INC. - SAN DIEGO CA

H04L 29/06
H04L 9/32

713166

Systems, apparatus and other embodiments associated with a multi-level security (MLS) server framework are presented. An MLS server framework provides a trusted virtual environment to host multiple tenants, categories, classification enclaves and security enclaves. The MLS server framework includes virtual machines, virtual networks, a mandatory access control (MAC), a hypervisor and a virtual trusted platform module (vTPM) management machine. The virtual networks are connected to the virtual machines and the hypervisor is connected to the MAC and the virtual networks. The MAC sets security policies and the hypervisor enforces the security policies and classifies virtual components within a trusted virtual environment formed by the MLS server framework. The vTPM management machine provides attestation of each virtual machine to ensure the MLS server framework is in a secure state.

2020040, Dec 31, 2020

Apr 24, 2020

16/858242

- Washington DC, US
Michael Donovan - Annandale VA, US
Logan Soya - Washington DC, US

G01D 4/00
G06K 9/62
G16Y 10/80
G16Y 20/30
G16Y 40/20

Automatic diagnostics of a building is provided. Computer-implemented methods, systems, platforms and devices are provided to optimize building management including energy usage. Aspects and features in embodiments include note topic clustering, machine learning and optimization algorithm development, automatic issue detection and categorization, customizable issue detection and categorization, and automatic note generation. Scalable self-learning systems and methods for building operation and management are also provided. A system creates a generic anomaly detection and classification machine learning model based on a general training dataset, deploys the model in a cloud server, and creates a copy of the model for each individual building/equipment/device of a user. The system further detects and classifies anomalies from real-time sensor data based off of the model. In a further feature, the system continuously updates the model based on a user's feedback about the detection and classification.

2019037, Dec 5, 2019

May 30, 2019

16/427334

- Washington DC, US
Roy Illingworth - Vienna VA, US
Michael Donovan - Annandale VA, US

Aquicore Inc. - Washington DC

H04L 12/28
G01D 4/00

A scalable installation of facility data monitoring in a facility having one or more meters. In embodiments, a method and a system provide scalable installation through an application and a user-interface on a mobile device. The mobile device is coupled over a network to a remote online data monitoring service. The method includes installing a hub, installing one or more bridges including coupling the bridge(s) to one or more meters, connecting the installed bridge to the installed hub over one or more wireless communication links, and connecting the installed hub with the mobile device over a wireless communication link. In other embodiments, methods and systems provide scalable installation of facility data monitoring that includes enabling a user through a user-interface at the mobile device to enter information in response to the application on the mobile device communicating with the remote online data monitoring service.

2014027, Sep 18, 2014

Mar 15, 2013

13/839286

- Arlington VA, US
Michael Lee Donovan - Arlington VA, US

DANTE CONSULTING, INC. - Arlington VA

G06Q 10/06

705 727, 705 736

A comprehensive enterprise product management system to effectuate efficient product time to market. The system includes a process model and a data model. The process model consists of entities that represent typical concepts in a trade setting and relationships among these entities. The data model represents the complexity of a product, including defining the entities that comprise the product and the relationship among these entities. An input mechanism is provided to facilitate entry of a new product to the enterprise. The process model and the data model accommodate the dynamic characteristics associated with both product definition and channels of trade.