Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Gene Lesinski"'
Publikováno v:
Industrial and Systems Engineering Review. 7:76-84
The United States military must maintain the ability to rapidly deploy, world-wide, under severe time constraints. As a result, units and organizations have developed standardized, documented processes and procedures to quickly deploy personnel, equi
Publikováno v:
SysCon
The rifleman will play a crucial role in future conflicts, so it is imperative that the Army outfits them with the right equipment. However, there is a tendency to provide them with every new technology as it becomes available. This results in a situ
Publikováno v:
Teaching and Learning the West Point Way ISBN: 9781003138181
Teaching and Learning the West Point Way
Teaching and Learning the West Point Way
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d85869a8af0646a72dde47a0d1e400f
https://doi.org/10.4324/9781003138181-19
https://doi.org/10.4324/9781003138181-19
Autor:
Gene Lesinski, Steven Corns
Publikováno v:
Procedia Computer Science. 140:196-205
This paper presents an evolutionary neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A pareto-based, multi-objective evolutionary algorithm utilizing the Strength Pareto Ev
Publikováno v:
Procedia Computer Science. 95:436-441
The Model-Based Systems Engineering (MBSE) approach uses the Systems Modeling Language (SysML) to express the architectural information of a system throughout different stages of its lifecycle. Within the approach, the system's structure, behavior, r
Publikováno v:
Procedia Computer Science. 95:375-382
This paper presents a neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A multi-layer feedforward network with backpropagation learning is used as the model framework. The m
Publikováno v:
Industrial and Systems Engineering Review. 3:124-130
Much of the Army’s equipment is coming to the end of its planned life cycle. At the same time, the Department of Defense and the Army are facing severe budget reductions for the foreseeable future. As a result, the planned modernization and acquisi
Publikováno v:
CEC
This paper presents a fuzzy genetic algorithm approach to generate, assess, and select a System of Systems (SoS) meta-architecture through coupled executable models. A type-1 fuzzy assessor is used to transform crisp performance attribute inputs into
The research team at STTC has attempted to holistically address many of these challenges via a web-based tool; Executable Architecture Systems Engineering (EASE). EASE is a Systems Engineering tool that allows development and management of distribute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cda030dd5400fbc17a21eff97aac2ce
https://doi.org/10.21236/ada578959
https://doi.org/10.21236/ada578959
Autor:
Gene Lesinski
Publikováno v:
Complex Adaptive Systems
Since a majority of resources are obligated during the design phase of a system lifecycle, critical assessment of candidate functional and system architectures is vital to identify optimal architectures before proceeding to subsequent lifecycle phase