The Profession of Modeling and Simulations: Unifying the Organization

The organization of Modeling and Simulation (M&S) as a profession started in the early twenty-first century spurred by the advent of computers and the vast networking capabilities of contemporary computing. M&S is still in its infancy when compared to other disciplines, such as engineering, computer science and mathematics. However, the profession has experienced significant growth in part due to the varied use of M&S techniques and tools within almost every discipline. Professional organizations and academic programs supporting M&S across the country have started to materialize. In a short timeframe, the growth of these supporting organizations has outpaced their ability to stay unified as a discipline, aligned with standardized Knowledge, Skills, and Abilities (KSAs) and with growing stakeholder needs. Consequently, there appear to be gaps in the M&S professional organization. Such as a lack of synchronization between the three primary stakeholder groups of the M&S profession: academia, government, and industry. The discipline\u27s professional organization fails to recognize a single body of knowledge as an authoritative reference for M&S KSAs. Academic institutions do not have unanimity regarding targeted KSAs. Industry lacks the confidence to hire M&S professionals who have a core understanding of KSAs directly associated with the version of M&S used by each separate industry. This research study attempts to take a coordinated step forward in unifying the M&S discipline by assessing and prioritizing the current competencies and standards required of M&S professionals and identifying the needs and competencies valued by primary stakeholders. A survey instrument was developed in conjunction with Rebecca Leis\u27 doctorate research. The instrument was distributed to M&S stakeholders to ascertain the breadth of the needed, valued, and required KSAs within the domain. The survey was evaluated by cross-referencing questions and tabulating responses. Results from this research suggest ways in which stakeholders can coordinate efforts in advancing the M&S professional organization and support a uniformed set of KSAs needed in academia, government, and industry now and in the future

Large space structures and systems in the space station era: A bibliography with indexes

Bibliographies and abstracts are listed for 1219 reports, articles, and other documents introduced into the NASA scientific and technical information system between July 1, 1990 and December 31, 1990. The purpose is to provide helpful information to the researcher, manager, and designer in technology development and mission design according to system, interactive analysis and design, structural and thermal analysis and design, structural concepts and control systems, electronics, advanced materials, assembly concepts, propulsion, and solar power satellite systems

Donald P. Brutzman: a biography

Design and implement large-scale networked underwater virtual worlds using Web-accessible 3D graphics and network streams. Integrate sensors, models and datasets for real-time interactive use by scientists, underwater robots, ships and students of all ages

1995 BRAC Commission

Space & Naval Warfare Systems Command, Arlington, VA - Analysis. Box 244, N-005

Measuring Cybersecurity Competency: An Exploratory Investigation of the Cybersecurity Knowledge, Skills, and Abilities Necessary for Organizational Network Access Privileges

Organizational information system users (OISU) that are victimized by cyber threats are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, it has been argued that cybersecurity competency is critical for advancing economic prosperity and maintaining national security. The fact remains that technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. All OISUs, from accountants to cybersecurity forensics experts, can place organizational assets at risk. However, that risk is increased when OISUs do not have the cybersecurity competency necessary for operating an information system (IS). The main goal of this research study was to propose and validate, using subject matter experts (SME), a reliable hands-on prototype assessment tool for measuring the cybersecurity competency of an OISU. To perform this assessment, SMEs validated the critical knowledge, skills, and abilities (KSA) that comprise the cybersecurity competency of OISUs. Primarily using the Delphi approach, this study implemented four phases of data collection using cybersecurity SMEs for proposing and validating OISU: KSAs, KSA measures, KSA measure weights, and cybersecurity competency threshold. A fifth phase of data collection occurred measuring the cybersecurity competency of 54 participants. Phase 1 of this study performed five semi-structured SME interviews before using the Delphi method and anonymous online surveys of 30 cybersecurity SMEs to validate OISU cybersecurity KSAs found in literature and United States government (USG) documents. The results of Phase 1 proposed and validated three OISU cybersecurity abilities, 23 OISU cybersecurity knowledge units (KU), and 22 OISU cybersecurity skill areas (SA). In Phase 2, two rounds of the Delphi method with anonymous online surveys of 15 SMEs were used to propose and validate OISU cybersecurity KSA measures. The results of Phase 2 proposed and validated 90 KSA measures for 47 knowledge topics (KT) and 43 skill tasks (ST). In Phase 3, using the Delphi method with anonymous online surveys, a group of 15 SMEs were used to propose and validate OISU cybersecurity KSA weights. The results of Phase 3 proposed and validated the weights for four knowledge categories (KC) and four skill categories (SC). When Phase 3 was completed, the MyCyberKSAsTM prototype assessment tool was developed using the results of Phases 1-3, and Phase 4 was initiated. In Phase 4, using the Delphi method with anonymous online surveys, a group of 15 SMEs were used to propose and validate an OISU cybersecurity competency threshold (index score) of 80%, which was then integrated into the MyCyberKSAsTM prototype tool. Before initiating Phase 5, the MyCyberKSAsTM prototype tool was fully tested by 10 independent testers to verify the accuracy of data recording by the tool. After testing of the MyCyberKSAsTM prototype tool was completed, Phase 5 of this study was initiated. Phase 5 of this study measured the cybersecurity competency of 54 OISUs using the MyCyberKSAsTM prototype tool. Upon completion of Phase 5, data analysis of the cybersecurity competency results of the 54 OISUs was conducted. Data analysis was conducted in Phase 5 by computing levels of dispersion and one-way analysis of variance (ANOVA). The results of the ANOVA data analysis from Phase 5 revealed that annual cybersecurity training and job function are significant, showing differences in OISU cybersecurity competency. Additionally, ANOVA data analysis from Phase 5 showed that age, cybersecurity certification, gender, and time with company were not significant thus showing no difference in OISU cybersecurity competency. The results of this research study were validated by SMEs as well as the MyCyberKSAsTM prototype tool; and proved that the tool is capable of assessing the cybersecurity competency of an OISU. The ability for organizations to measure the cybersecurity competency of OISUs is critical to lowering risks that could be exploited by cyber threats. Moreover, the ability for organizations to continually measure the cybersecurity competency of OISUs is critical for assessing workforce susceptibility to emerging cyber threats. Furthermore, the ability for organizations to measure the cybersecurity competency of OISUs allows organizations to identify specific weaknesses of OISUs that may require additional training or supervision, thus lowering risks of being exploited by cyber threats

1995 BRAC Commission

NMCRRC Brooklyn, Buffalo, Columbus, Honolulu, Greensboro, El Paso - Data Calls. Tabular data, memos. documents. Box 224, L-156

Management: A bibliography for NASA managers

This bibliography lists 731 reports, articles and other documents introduced into the NASA Scientific and Technical Information System in 1990. Items are selected and grouped according to their usefulness to the manager as manager. Citations are grouped into ten subject categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy

Program on Earth Observation Data Management Systems (EODMS), appendixes

The needs of state, regional, and local agencies involved in natural resources management in Illinois, Iowa, Minnesota, Missouri, and Wisconsin are investigated to determine the design of satellite remotely sensed derivable information products. It is concluded that an operational Earth Observation Data Management System (EODMS) will be most beneficial if it provides a full range of services - from raw data acquisition to interpretation and dissemination of final information products. Included is a cost and performance analysis of alternative processing centers, and an assessment of the impacts of policy, regulation, and government structure on implementing large scale use of remote sensing technology in this community of users

Natural Language Processing for Modeling Domains in Higher Education

The present dissertation investigates elements of domain formalization, resource allocation, and student success in higher education to conceptually design a university-wide system to assist in strategic planning efforts. The proposed system is a program-level tool with a modular design to allow scalability and generalizability across the entire university. Higher education strategic planning decisions are under investigation by stakeholders and transparency is needed. University resources allocation models are often outdated lack to adequately support program-level decisions. Further, with the dynamic nature of technology, domain knowledge components are evolving rapidly. This complicates the situation as updating curriculum takes additional time and resources. Using the University of Central Florida\u27s (UCF) School of Modeling, Simulation, and Training (SMST) as a case study to build and validate the system, I investigate Modeling and Simulation (M&S) domain knowledge, skills, and abilities (KSAs) using a series of natural language, text mining, and machine learning techniques to model topics within domain-specific texts including publication abstracts, job postings, and graduate course descriptions. From there, I use this information to identify and enumerate terms used to develop M&S ontology and expert models for the future university-wide system. This investigation benefits both the M&S field of study, clarifying ill-defined domain components and it helps inform the design of university-wide strategic planning systems