Entity

Time filter

Source Type

Town and Country, WA, United States

Simpson J.J.,System Concepts LLC | Endicott-Popovsky Dr. B.,University of Washington
20th Annual International Symposium of the International Council on Systems Engineering, INCOSE 2010 | Year: 2010

The INCOSE Systems Engineering Capability Assessment Model (SECAM) has been adapted to apply to the system security domain. Service organizations that do not produce an industrial manufactured product are the initial target of this new variation of capability assessment model. The primary goal of this work is the deployment of an adaptive set of organizational security assessment tools that provide the basis for controlled, structured organizational improvement of the existing security context. A new quick look assessment method is also presented to help an organization minimize the cost and time associated with this type of activity. © 2010 by Joseph J Simpson and Dr Barbara Endicott-Popovsky. Source


Trademark
System Concepts Inc. | Date: 1981-05-26

Alpha-Numeric Graphic Television Production Titler for Use in Cable, Closed Circuit and Broadcast Television Industries.


Trademark
System Concepts Inc. | Date: 1981-05-26

Alpha-Numeric Graphic Television Production Titlers, Automated and Manual Access Mass Memories, Storage Tapes, and Containers and Structural Components for Use in Cable, Closed Circuit and Broadcast Television Industries.


Trademark
System Concepts Inc. | Date: 1982-10-12

Computer Programs in the Form of Magnetic Disks and Documentation Therefor, All Sold as a Unit.


Simpson J.J.,System Concepts LLC | Simpson M.J.,System Concepts LLC
Systems Engineering | Year: 2014

Whole system metrics are valuable tools for use in systems science and engineering. Entropy metrics are defined, developed, and demonstrated in this paper. Based on classical systems engineering methods and practices, these entropy metrics indicate the degree of order/disorder in any given system. A physical-entropy based metric and an information-based entropy metric are aligned with the two primary components of a system: objects and relationships. The physical-entropy based metric is called a relational score, and the information-based metric is called an object score. A subsystem score, based on the relational score and object score, is also developed and presented in this paper. A well-defined process, using these metrics, is used to evaluate the reduction of entropy and complexity associated with any specific system. The metrics and processes developed in this work have a prose component, a graphic component, and a mathematical component. These three components are aligned with the systems science techniques developed by John N. Warfield. © 2013 Wiley Periodicals, Inc. Source

Discover hidden collaborations