Saturday, November 09, 2002
SAM B. BARAN, PHD SENIOR SYSTEMS ENGINEER
OBJECTIVE: Senior Systems Engineering, Enterprise Architecture, EB /IA, Program Support
CLEARANCE: DoD Active Secret Clearance
EDUCATION: PhD in Electrical Engineering, University of Missouri, Columbia, GPA 3.9/4
M.S., Nuclear Engineering, University of Missouri, Columbia
M.S., Electrical Engineering, University of Missouri, Columbia
B.S., Electrical Engineering, University of Missouri, Columbia.
EXPERTISE: Enterprise Architecture
1. Systems: Scope, Analysis, Design, Construction. Life Cycle Methodologies (Waterfall/ Spiral Model) using CASE Tools (Popkin SA/ Computas Metis), Business Process Redesign, Information Assurance (CAC/ PKE/ PKI)
· Internet/ Intranet/ Extranet Collaboration
· Knowledge-Based Expert Systems
· Right2Left/ Left2Right (Arabic/English) Languages Word-Processing Index/ Search
· Strong Know-How In Graphics on UNIX/PC/Mac Workstations (SGI/Sun)
· Research & Development (R&D)
· Mathematical Modeling/ Simulation (Process, Data, Systems)
· Product Development, Productivity Metrics, Information Architecture
· Operations Research Linear/ Non–Linear Programming
· Business Models, Quality of Service (QoS)
· Configuration Management, Enterprise Information Integration, Data Warehouse/Mining,
· Digital Signature/ Single Sign-On, Test & Evaluation, QA
· Imaging, Document/ Workflow Management
· System Integration, Requirements/ Functional Analyses, Risk Management, C&A
2. Architecture: Multi-tier Client-Server, Multi-domain, Distributed/ Delegated, DMZ, Federated Enclaves
3. Languages: English, Russian, German, Arabic, Farsi/ Dari, Turkish, C/C++, Fortran
4. Hardware: Sun20, HP9000, SGI, PC, Mac, Peripherals (Tape Drive, CD-R, Zip, and Printer)
5. OS: UNIX, HPUX, IRIX, SunOS, UnixWare, DOS, NetWare, X/Motif, and MS Win 98/ NT/ 2000/ XP
6. Database Management Systems: Oracle7, SQL*Forms/ Reports, dBase, Paradox, Access
7. Applications: MS Project/ Visio/ Office (Excel, Access, Word, PowerPoint), MATLAB, SPSS, Metis, Internet Assistant, Visual Basic, CASE Tools, Turbo2 BPR, Workflow Factory, BPWin, ERWin, Sim-process, ProModel, Keyfile, SiteMinder, LiveLink8/ WindChill5/ JCALS, CITRIX, PVCS, dBase/PAL, Access, ARCInfo, FormWare, BarOne, MATLAB, ABCcharter, FTP, Pine, WordScan, AIExpert, Ex-pertChoice, Popkin SA, Internet Assistant, Visual Basic, Comnet3, ComNet, OmniPage, ICR.
8. Standards: AES, PKCS, SEI CMM, Federal Regulations, IDEF 0/1x, PKI/ LDAP, EC/EB, Forms/ Re-ports, COE DII, FIPS, EAF.
EXPERIENCE SUMMARY
Dr. Baran has 18 years in IT management and technical experience with Industry and the federal government, http://www.geocities.com/sambb1/BaranIT.html. It has encompassed national level projects for govern-ment organizations, such as NASA, OSD, DISA, DLA, DNA, the Navy, MDA, BoC, FBI, NIH, HUD and has covered the full IT life cycle: requirement, analysis, design, testing, operation, redesign, and support. He has experience in Internet architecture, information assurance (IA), public key infrastructure (PKI), Joint Technical Architecture (C4ISRv2), electronic business (EB), enterprise application integration (EAI), Web configuration management (CM), process redesign/ modeling, visualization/ simulation, COTS/GOTS soft-ware/ systems evaluation & life cycle; externalized over 70 technical white papers/ documents and taught col-lege courses. Much of his work has included enterprise/ process/ data models in support of planning efforts using manual/ ICASE tools in block diagrams, state variables, logical flowcharts, star schemas, briefing slides, HTML frames. He has presented projects at PDR, IPR, CDR and technical papers at Siggraph, Euro-graphics, CALS, FEDImaging; also, written proposals, plans, reports; reviewed articles/ books for IEEE/ACM; and attended NCC AIIM meetings. He has compiled world nuclear reactors in a knowledge base system (KBS) for DNA, analyzed the workflow management for DOE Declassification Productivity Initiative and DOD Emall; worked at Dresden nuclear power station; and experimented at a NRC research reactor. One of his process models was successfully used for the late President Nixon’s remote pharmacokinetic treatment. His IT experience encompasses left2right/ right2left carriage return languages (English/ Cyrillic and Arabic/ Dari) word-processing, dictionaries, thesauri, indexing, search engines, translators. Secure enterprise Web Services enable real-time integration of government applications modeled as discrete tasks within a larger ap-plication (EB process are distributed over Internet collaboratively with one another through XML interfaces/ data using SOAP/ HTTPS, WSDL, UDDI, ebXML protocols to package/ exchange information.
WORK EXPERIENCE
IntePros 07/03 — 6 mo
Arlington, Va PKI Consultant
Presently, Dr. Baran worked for DoD Missile Defense Agency in an SRA project to develop an Enterprise PKI Applications Enablement (PKE) with Common Access Card (CAC) for NCR, JNIC, STCT, Huntsville. Presented SSO Strategy for the Agency at DoD PKE Conference, Orlando-FL, 11/16-21/03. The project in-cluded planning, development, testing, acquisition, support of CAC/ PKE/ PKI for servers, desktops, laptops, Blackberries. Performed an analysis of the MDA IT enterprise architecture in terms of sorting over 600 ap-plications for PKI-enablement in terms of log-on, secure site/ user/ desktop authentication. Interacted with Netegrity, IBM, RSA, MS for SSO/ portal technology.
Titan Systems Corp 02/99 — 06/03
Vienna, Va Senior Systems Engineer
Presently, Dr. Baran works for DoD Joint Electronic Commerce Program Office (JECPO) to develop an En-terprise Application Integration (EAI) of DLA/ DISA IT infrastructures and 12 Functional Groups Web/ EDI applications as DebX, Emall, WAWF, PPAIS, EDA, EPASS, PDML, IDE, CCR, BusOpps, CWIPT, Pur-chase/ SmartCard (http://techlibrary.edc.eb.mil/index/index.html); participated in the write-up of a plan to integrate DISA DeBX and DLA DAAS, two EC architectures in 1999. Over the last 3 years, he has been in touch with over 120 vendors in PKI, IA, Workflow, SSO, Collaboration, Data Mart, eProvisioning, digital signature, Web application testing/ integration. Created a DISA collaborative group using GOTS DCTS and Merant PVCS Version Manager. Participated in the regular meetings of DoD PKI Business/ Technical Work Groups. Using 3 PKI certs for id, encryption and authentication, published white papers for DISA on IA technology including Federal Bridge Certificate Authority, Local Registration; software/ hardware tokens, symmetric/ asymmetric cryptography (tokens, boards, accelerators: RSA Security, Entrust, VeriSign, Browser with 128-bit SSL/AES). Executed Joint Systems Engineering delivery order, Next Generation Electronic Commerce Infrastructure Systems Engineering and COTS/ GOTS products evaluation in Data Warehouse/ Mart (SpaceSQL), Single Sign-On (SiteMinder), Digital Signature (Elock), Portals, GCSS, Test Tools (Test Director), Enterprise Workflow, base-lining Evaluation & Demonstration Center (EDC), Public Key Infra-structure (PKI, iPlanet CMS4) – based on the DoD requirements, Government standards, and industries’ best practices. He coauthored technical reports, software requirements specification, test plans, risk analyses, COTS requirements/ evaluation criteria, and modeled EMall/ EBLibrary Web publication lifecycle https://emall.prod.dodonline.net/scripts/emLogon.asp) using Rational modeling tools, WindChill5/ Livelink8 workflow engines. Prior to this, he was an on-site Task Lead interacting with government management, tech-nical staff and subcontractors for HUD Community Planning & Development (CPD) on day-to-day project management of an enterprise Web-based application in a corporate portal. He performed requirement analy-sis, systems engineering, CM, and enterprise architecture. He developed a methodology for inter-agency (USDA, HUD, CPD) collaboration on Web (http://www.ezec.gov/), based on Topics/ Templates/ Resources. He troubleshot the EZEC Web application processing bottlenecks, disruptions, and HUD WAN subnets (sup-porting servers for database, Web, proxy, and Address Locator). He was the CMM Group Lead for Risk Management, Level 2. He has developed a framework of 12 steps to evaluate COTS/ GOTS products, such as WebSphere/ Tivoli Access Manager SSO allow Web users to authenticate once when accessing both Ap-plication Server (HTML, JSP, servlets, and enterprise beans, and Domino database), or when accessing mul-tiple domains.
CACI - Federal, Enterprise Information Integration (EII) Division 1997 — 1999
Fairfax, VA Program Manager
Engagements included a Web-based virtual trade show, an integrated knowledge environment (IKE) for the DLA, and an intranet Virtual Parts Supply Base (VPSB) for the CALS Office. Attended CMM training/ meet-ings; presented work at IOC, DMEA, EC conferences. Wrote Defense Logistics Agency’s VPSB Information Architecture and Business Model deliverables in compliance with COE DII, including: 1) risk assessment, 2) differentiation of environments, systems, devices, and functions that can or will be tested against those that cannot or should not, 3) documentation of assumptions formed during project analysis. Worked with domain experts in BPR and enterprise collaboration to develop and implement integrated solutions to life cycle prod-uct support for both government and commercial clients. Worked with systems engineers/ software develop-ers to integrate COTS products in intranet, workflow, and inventory management for Integrated Data Environment (IDE) over the entire product lifecycle. Used LM/CACI BPR methodologies. Responsible for reporting on vendors RFP for Y2K technology evaluation within Arlington County Circuit Clerk’s Deeds Judgments/ Wills /Financing Statements using document imaging, based on Kodak 990, COTS, NT, Oracle 7, and CICS Mainframe legacy data. Responsible for the IV&V of Bureau of Census prototypes in Data Proc-essing Centers in Bowie, Baltimore, Jeffersonville, Oakland, and New Orleans; prototypes for processing test hand-written forms. For the upcoming Data Capture System (DCS2000) for the Year 2000 Census, Phase II, wrote Checkout & Certification Plan & Procedure and system integration testing scripts. The System converts hand written forms into title 13 ASCII format in 5 information centers via T1 links; is NT with Optical Bar-code/ Mark/ Intelligent Recognition, Oracle RDBMS, Staffware WF, firmware, Solaris backup WS.
Mitretek Systems 1996 — 1997
McLean, VA Lead Staff
Analyzed DOJ’s Integrated Automated Fingerprint Identification System (IAFIS) WAN architecture into functional, infrastructure, performance. Used the following system/segment documents: Life Cycle Cost Es-timate, System Requirements Definition/Specification/Design, User/ Full Operation Capability CONOPS, Transaction Interface Control, IDAS Functional Spec, AFIS Function/Performance Spec, ITN Segment Spec, Gateway Software Design, III Segment Spec, NLETS, CJISWAN, NCIC2000. Analyzed document digitaliza-tion in its four phases of capture/scan, control/collaboration, archive/retrieval, process/workflow. Captured data modeling in slides/Web pages with drilldown charts. Designed a BPR methodology for enterprise archi-tecture integration based on the DoD Enterprise Information Architecture (EIA) standards in terms of Func-tional-logic, Systems-infrastructure, and Technical-performance components. It includes use cases; nodal maps (man-machine rationalization), task lists (manual/ automation option), activity schedules (cycle-time/ throughput improvement). It uses waterfall steps: planning, analysis, data acquisition, modeling, simulation, operations (as-is), initiatives, alternatives (to-be), actuals (metrics), and measure of effectiveness/ perform-ance (MOE/MOP). Worked with domain experts to develop/ elicit KBS for activity optimization. Tested/ evaluated hardware, COTS products for browsers, BPR/ workflow modeling, and database. Developed an EIA using a spiral methodology for expert knowledge acquisition, systems engineering, workflow automation for DOE DPI three sub-flows of production, ad-hoc, and administrative. Planned an email enabled productiv-ity improvement workflow based on intranet metrics. Captured process rules, routing/ queue tables, audit trails, transactions, and roles by interviewing domain experts, analyzing tracking data, and using CASE tools. Used IDEF0/1X in enterprise-activity/ data modeling and the Web to research products matrix. Provided technical services in IDE modeling to DISA using industry best practices, EDI, COE DII, CODE, COP. Used CASE tools to capture network infrastructure, data/applications topologies, transmit protocols. Studied ISO9000, change paradigm, and TAFIM standards.
Advanced Engineering & Research Associates 1994 — 1995
Arlington, VA Technical Director
Prototyped a WAN enterprise client-server architecture to capture data from high volume paper forms; map into a relational database management system (RDBMS) via T1 link for Bureau of the Census (BOC) Decen-nial Census System (DCS). This was based on clusters of 8 Sun SPARC20s and 31 i486s with 2 Kodak 990D scanners, Cornerstone DualPage 120i, barcode reader, OCR, OMR, key from image/paper (KFI/P), storage, scoring, index, workflow, and database software packages. Did QA checkout all products/ deliver-ables before submission to clients. Wrote an integration T&E plan for headdown / headup (KFP/KFI) key en-try and ICR to independently validate and verify COTS/custom products using inspection, analysis, demo, and testing. Created production workflow automation for form generation/recognition. Designed a legacy data migration upgrade for SPAWAR MIDA from Oracle6/ Wang to Oracle7/ HP9000; proposed as the prin-ciple investigator for 2 DoD SBIR projects. Designed a client-server Sun-P5-NetWare JAD and a PC-CD changer deployment platforms for the Navy-BIW interactive electronic technical manual and computer based training (CBT) modules on a hypertext retrieval electronic publisher (SGML), Oracle7, and backfile conver-sion products; studied the NIST ICR and milstd-498 (s/w dev/doc). Proposed an enterprise workflow, to cap-ture, archive, and disseminate high volume forms for DOL, based on O/ICR, text search/retrieval. Designed a publisher to disseminate flat files on PC/Mac target CD drives using CD-R, mastering/ replication with a search engine.
Universal Systems & Technology 1991 — 1994
Arlington, VA Senior Engineer/Analyst
Developed KBS architecture for Defense Nuclear Agency on world nuclear, biological/ chemical facilities, experts, and references on Paradox using a text browser and data/process modeler. Identified emerging soft-ware for RDBMS, search, OCR, and help packages. Set up a development multimedia platform to spawn data in a dozen formats, process them, and create text/ graphic reports. Conceptualized hazard prediction/ risk as-sessment on slides using CAP88/ ARAC. Used IDAC (interactive data acquisition/compression), a real-time lossy/ lossless imaging package, JPEG lossy image compression. Interfaced for acceptance/ advocacy of the final product with COTR. Implemented the Navy's F/A-18 tactical geometry display of a planview map with symbols overlay in Operational Flight/Weapons Tactics Trainers (WTT) on a SPARC20/ SGI X/ Motif. Per-formed on-line trouble-shooting for a full life cycle DOS/ UNIX RDBMS in linking, coding, compiling, op-timizing, via modem, BBS, fax, phone. Wrote C/dBase modules for graphic/ business applications. Created VPExpert diagnostic packages/ rtf modules using MS Help Compiler tagging topics in a helpdesk package.
Stellacom-NASA HQ 1986 — 1990
Arlington, VA Senior Computer Scientist
Led a project through feasibility, specification, design review, testing, validation, documentation, and imple-mentation. Simulated the Space Station TV cameras on a multimedia SGI and a real-time image generator. Tested state-of-the-art 3D graphic software/ hardware COTS products. Visited most of NASA and other simulation sites; wrote a feasibility report. Presented status/trip reports regularly to the NASA Television De-velopment Division Director. Resolved hardware/ software customer cross-platform problems. Taught statis-tical mechanics, microelectronics, circuit analysis, modeling, simulation; advised students on courses, specialization, job targets; administered curriculum plans.
Trillium Corp. 1979 — 1985
Glen Rock, NJ Applications Director
Performed a leading role in System Integration for the Engineering, Design, Fabrication and Testing of ad-vanced special purpose hardware for real-time image generation, for the Navy. Directed QA specialists per-forming board design for a super computer for F/A 18 interactive training. Developed a full life cycle application/database to visualize the world in real-time, a 3D graphic algorithm for cache-memory allocation. Was a co-founder and the Board of Directors' member, wrote proposals, interfaced with customers, wrote fi-nancial analyses/ market surveys. Supervised Array 1 of a parallel-pipelined image generator prototype in-cluding CPU, A&L, cache, I/O boards for the Hughes/ Navy F/A-18 2-dome WTT. Wrote the Roland tank-crew trainer proposal for periscope visualization. Interfaced with clients and lectured for the staff. Conducted worldwide sale, to seek international acceptance, venture capital, and product sales in Germany, Switzerland, Belgium, Canada, Mexico.
Data Acquisition Center, Med College of Virginia 1974 — 1979
Richmond, VA Project Director
Responsible for a LAN development, engineering, testing, under a research program funded by the NIH. Performed selection/ procurement of COTS hardware, as well as management of sub–contractors for electrical communication boxes. Directed a $250k CBT project in a report to NIH. Developed state variable and Monte Carlo models in Fortran, simulated for student interaction; one of them, successfully used for the late president R. M. Nixon's remote pharmacokinetic treatment. Taught test measurement, instrumentation, mi-croelectronics, simulation, modeling; served on graduate committees; counseled on curriculum.
Space Sciences Research Center 1969 — 1974
Columbia, MO Research Associate
Irradiated bio-tissues in NRC Missouri University Research Reactor of 10,000 kW(t) tank type; measured mechanical responses to electrical inputs and drug distribution in vivo. Applied regression analysis to evalu-ate model parameters. Designed electrical controllers for the GE's boiling water reactor of 772 net MW(e), 1970 criticality, Dresden Nuclear Power Station, Unit 2.
PUBLICATIONS http://itbaran.blogspot.com/
1. Sam Baran, et al (2002) Overarching Configuration Control: Project Management, DISA, 54p.
2. Sam Baran (2002) Synchronous Collaborative Requirements, DISA, 24p.
3. Sam Baran (2002) Security Access Management COTS Product Evaluation, DISA, 52p.
4. Sam Baran, et al (2001) Defense EB Exchange Systems Customer Support Contractor Selection, JECE, 75p.
5. Sam Baran (2001) Security Access Management/ Single Sign On Requirements, JECE, 14p.
6. Sam Baran, et all (2001) Emall Workflow Prototype, JECE, GS-35F-4810G, 44p.
7. Sam Baran (2001) Logistics Electronic Business Via Enterprise Information Brokerage, Delphi Group, Coronado-CA.
8. Sam Baran, et al (2000) JECE Evaluation & Demonstration Center Test Tools, GS-35F-4810G,56 p.
9. Sam Baran, et al (2000) Enterprise Workflow Products Evaluation (phase 1), GS-35F-4810G, 79 p.
10. Sam Baran, et al (2000) Public Key Infrastructure Interoperability, JECPO, 76p.
11. Sam Baran, et al (1999) Comparison of ECPN and DAAS, DISA JECPO, 19 p.
12. Sam Baran, et al (1999) Data Warehouse Analysis, DISA JECPO, 46 p.
13. Sam Baran, et al (1999) Single Sign-On Analysis, DISA JECPO, 55 p.
14. Sam Baran, et al (1999) Digital Signature Analysis, DISA JECPO, 118 p.
15. Sam Baran, et al (1999) Enterprise Workflow Business Case, JECPO, 15 p.
16. Sam Baran (1999) Web-Based Enterprise Solution, HUD, 35 p.
17. Sam Baran (1998) DCS2000 Checkout & Certification Plan, 8260-09, 37 p.
18. Sam Baran (1998) VPSB Information Arch, FEDSIM 97260DEO-09, 97 p.
19. Sam Baran (1998) Tech Hubs Via Virtual Enterprise, CALS98, LB-CA, 10p.
20. Sam Baran (1998) VPSB Business Model, FEDSIM 97260DEO-09, 57 p.
21. Sam Baran (1997) Virtual Parts Supply Base (VPSB) ConOp, CACI, 20 p.
22. Sam Baran (1997) Enterprise Information Arch., Mitretek, D0496-0220, 20p.
23. Sam Baran (1997) IAFIS Information Architecture at a Glance, Mitretek, D0496-0220, 104p.
24. Sam Baran, et all (1996) Declassification Productivity Initiatives (DPI) Study-Data Collection Plan, 26p; DPI Project Plan, 34p; DPI Final Plan, 100p, DE-AC01-94SA10056.
25. Sam Baran (1995) Subject Recommendations for Imaging Technology Enhancements, Dept. Of La-bor, J-9-p-3-0023, 26p.
26. Sam Baran, et all (1995) Data Modeling of an Enterprise Network Architecture, DISA, 15p.
27. Sam Baran (1994) The Development Environment for the IETM & CBT Modules for the DDG 51 Class Gas Turbine Generator Allison Model 501K34/AG9130, N00024-89-2033, 8p.
28. Sam Baran (1994) Legacy Data Upgrade of SPAWAR MIDA from Wang-Oracle6 to HP-Oracle7, N00039-93-C-0175, 12p.
29. Sam Baran (1994) The Integration and Test Plan for the 1995 Test Census Prototype Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 25p.
30. Sam Baran, B. Googins (1994) The Architecture Plan for the 1995 Test Census Prototype Configura-tion for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 23p.
31. Sam Baran, et all (1994) Nuclear, Biological and Chemical Target Dominant Source Knowledge Base Development, DNA001-93-C-0125, 210p.
32. Sam Baran (1993) Text Retrieval/ Information Management - Products Matrix, Report to DNA, Alex-andria, VA, 10p.
33. Sam Baran (1993) Mapping, Imaging, Charts, Report to DNA, Alexandria, VA, 5p.
34. Sam Baran (1990) Virtual Simulation of Space-Based Camera System, 21st Ann. Pittsburgh Confer-ence on Modeling and Simulation, Pittsburgh, PA.
35. Sam Baran (1990) Results of a Feasibility Study for Adapting Virtual Simulation Technology to the Design of Space Based Camera System, NASW-4376, 91p.
36. Sam Baran (1983) Trillium User's Manual UM 0983, Trillium Corp., Glen Rock, NJ, 84p.
37. Nick Dager (1983) IRIS: Computer Specialization, Millimeter, p123.
38. Sam Baran, R. J. Swallow (1983) IRIS - Mechanical CAD/CAM Applications, 4th Ann. Conf. & Expo of the Nat. Computer Graphics Association, Chicago, IL, 507-510.
39. …
70. Sam Baran (1974) Modeling, Testing, Simulation and Optimization of Digitalis Pharmacokinetics, Ph.D. Dissertation, Dept. Electrical Engineering, University of Missouri, Columbia, 124p.
71. Sam Baran (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, Master Thesis, Dept. Nu-clear Engineering, University of Missouri, Columbia, MO, 118p. 4284
PROFESSIONAL RECOGNITION/AFFILIATIONS:
CACI Achievement Letter, 1999
Mitretek Recognition Frame, 1997
Members of IEEE and ACM, NCC AIIM, and IATFF (Information Assurance Task Force Forum)
Was Listed in US List of Scientists – Who is Who 1990
CLEARANCES: DoD DSS Interim Secret, 6 April 1999
OBJECTIVE: Senior Systems Engineering, Enterprise Architecture, EB /IA, Program Support
CLEARANCE: DoD Active Secret Clearance
EDUCATION: PhD in Electrical Engineering, University of Missouri, Columbia, GPA 3.9/4
M.S., Nuclear Engineering, University of Missouri, Columbia
M.S., Electrical Engineering, University of Missouri, Columbia
B.S., Electrical Engineering, University of Missouri, Columbia.
EXPERTISE: Enterprise Architecture
1. Systems: Scope, Analysis, Design, Construction. Life Cycle Methodologies (Waterfall/ Spiral Model) using CASE Tools (Popkin SA/ Computas Metis), Business Process Redesign, Information Assurance (CAC/ PKE/ PKI)
· Internet/ Intranet/ Extranet Collaboration
· Knowledge-Based Expert Systems
· Right2Left/ Left2Right (Arabic/English) Languages Word-Processing Index/ Search
· Strong Know-How In Graphics on UNIX/PC/Mac Workstations (SGI/Sun)
· Research & Development (R&D)
· Mathematical Modeling/ Simulation (Process, Data, Systems)
· Product Development, Productivity Metrics, Information Architecture
· Operations Research Linear/ Non–Linear Programming
· Business Models, Quality of Service (QoS)
· Configuration Management, Enterprise Information Integration, Data Warehouse/Mining,
· Digital Signature/ Single Sign-On, Test & Evaluation, QA
· Imaging, Document/ Workflow Management
· System Integration, Requirements/ Functional Analyses, Risk Management, C&A
2. Architecture: Multi-tier Client-Server, Multi-domain, Distributed/ Delegated, DMZ, Federated Enclaves
3. Languages: English, Russian, German, Arabic, Farsi/ Dari, Turkish, C/C++, Fortran
4. Hardware: Sun20, HP9000, SGI, PC, Mac, Peripherals (Tape Drive, CD-R, Zip, and Printer)
5. OS: UNIX, HPUX, IRIX, SunOS, UnixWare, DOS, NetWare, X/Motif, and MS Win 98/ NT/ 2000/ XP
6. Database Management Systems: Oracle7, SQL*Forms/ Reports, dBase, Paradox, Access
7. Applications: MS Project/ Visio/ Office (Excel, Access, Word, PowerPoint), MATLAB, SPSS, Metis, Internet Assistant, Visual Basic, CASE Tools, Turbo2 BPR, Workflow Factory, BPWin, ERWin, Sim-process, ProModel, Keyfile, SiteMinder, LiveLink8/ WindChill5/ JCALS, CITRIX, PVCS, dBase/PAL, Access, ARCInfo, FormWare, BarOne, MATLAB, ABCcharter, FTP, Pine, WordScan, AIExpert, Ex-pertChoice, Popkin SA, Internet Assistant, Visual Basic, Comnet3, ComNet, OmniPage, ICR.
8. Standards: AES, PKCS, SEI CMM, Federal Regulations, IDEF 0/1x, PKI/ LDAP, EC/EB, Forms/ Re-ports, COE DII, FIPS, EAF.
EXPERIENCE SUMMARY
Dr. Baran has 18 years in IT management and technical experience with Industry and the federal government, http://www.geocities.com/sambb1/BaranIT.html. It has encompassed national level projects for govern-ment organizations, such as NASA, OSD, DISA, DLA, DNA, the Navy, MDA, BoC, FBI, NIH, HUD and has covered the full IT life cycle: requirement, analysis, design, testing, operation, redesign, and support. He has experience in Internet architecture, information assurance (IA), public key infrastructure (PKI), Joint Technical Architecture (C4ISRv2), electronic business (EB), enterprise application integration (EAI), Web configuration management (CM), process redesign/ modeling, visualization/ simulation, COTS/GOTS soft-ware/ systems evaluation & life cycle; externalized over 70 technical white papers/ documents and taught col-lege courses. Much of his work has included enterprise/ process/ data models in support of planning efforts using manual/ ICASE tools in block diagrams, state variables, logical flowcharts, star schemas, briefing slides, HTML frames. He has presented projects at PDR, IPR, CDR and technical papers at Siggraph, Euro-graphics, CALS, FEDImaging; also, written proposals, plans, reports; reviewed articles/ books for IEEE/ACM; and attended NCC AIIM meetings. He has compiled world nuclear reactors in a knowledge base system (KBS) for DNA, analyzed the workflow management for DOE Declassification Productivity Initiative and DOD Emall; worked at Dresden nuclear power station; and experimented at a NRC research reactor. One of his process models was successfully used for the late President Nixon’s remote pharmacokinetic treatment. His IT experience encompasses left2right/ right2left carriage return languages (English/ Cyrillic and Arabic/ Dari) word-processing, dictionaries, thesauri, indexing, search engines, translators. Secure enterprise Web Services enable real-time integration of government applications modeled as discrete tasks within a larger ap-plication (EB process are distributed over Internet collaboratively with one another through XML interfaces/ data using SOAP/ HTTPS, WSDL, UDDI, ebXML protocols to package/ exchange information.
WORK EXPERIENCE
IntePros 07/03 — 6 mo
Arlington, Va PKI Consultant
Presently, Dr. Baran worked for DoD Missile Defense Agency in an SRA project to develop an Enterprise PKI Applications Enablement (PKE) with Common Access Card (CAC) for NCR, JNIC, STCT, Huntsville. Presented SSO Strategy for the Agency at DoD PKE Conference, Orlando-FL, 11/16-21/03. The project in-cluded planning, development, testing, acquisition, support of CAC/ PKE/ PKI for servers, desktops, laptops, Blackberries. Performed an analysis of the MDA IT enterprise architecture in terms of sorting over 600 ap-plications for PKI-enablement in terms of log-on, secure site/ user/ desktop authentication. Interacted with Netegrity, IBM, RSA, MS for SSO/ portal technology.
Titan Systems Corp 02/99 — 06/03
Vienna, Va Senior Systems Engineer
Presently, Dr. Baran works for DoD Joint Electronic Commerce Program Office (JECPO) to develop an En-terprise Application Integration (EAI) of DLA/ DISA IT infrastructures and 12 Functional Groups Web/ EDI applications as DebX, Emall, WAWF, PPAIS, EDA, EPASS, PDML, IDE, CCR, BusOpps, CWIPT, Pur-chase/ SmartCard (http://techlibrary.edc.eb.mil/index/index.html); participated in the write-up of a plan to integrate DISA DeBX and DLA DAAS, two EC architectures in 1999. Over the last 3 years, he has been in touch with over 120 vendors in PKI, IA, Workflow, SSO, Collaboration, Data Mart, eProvisioning, digital signature, Web application testing/ integration. Created a DISA collaborative group using GOTS DCTS and Merant PVCS Version Manager. Participated in the regular meetings of DoD PKI Business/ Technical Work Groups. Using 3 PKI certs for id, encryption and authentication, published white papers for DISA on IA technology including Federal Bridge Certificate Authority, Local Registration; software/ hardware tokens, symmetric/ asymmetric cryptography (tokens, boards, accelerators: RSA Security, Entrust, VeriSign, Browser with 128-bit SSL/AES). Executed Joint Systems Engineering delivery order, Next Generation Electronic Commerce Infrastructure Systems Engineering and COTS/ GOTS products evaluation in Data Warehouse/ Mart (SpaceSQL), Single Sign-On (SiteMinder), Digital Signature (Elock), Portals, GCSS, Test Tools (Test Director), Enterprise Workflow, base-lining Evaluation & Demonstration Center (EDC), Public Key Infra-structure (PKI, iPlanet CMS4) – based on the DoD requirements, Government standards, and industries’ best practices. He coauthored technical reports, software requirements specification, test plans, risk analyses, COTS requirements/ evaluation criteria, and modeled EMall/ EBLibrary Web publication lifecycle https://emall.prod.dodonline.net/scripts/emLogon.asp) using Rational modeling tools, WindChill5/ Livelink8 workflow engines. Prior to this, he was an on-site Task Lead interacting with government management, tech-nical staff and subcontractors for HUD Community Planning & Development (CPD) on day-to-day project management of an enterprise Web-based application in a corporate portal. He performed requirement analy-sis, systems engineering, CM, and enterprise architecture. He developed a methodology for inter-agency (USDA, HUD, CPD) collaboration on Web (http://www.ezec.gov/), based on Topics/ Templates/ Resources. He troubleshot the EZEC Web application processing bottlenecks, disruptions, and HUD WAN subnets (sup-porting servers for database, Web, proxy, and Address Locator). He was the CMM Group Lead for Risk Management, Level 2. He has developed a framework of 12 steps to evaluate COTS/ GOTS products, such as WebSphere/ Tivoli Access Manager SSO allow Web users to authenticate once when accessing both Ap-plication Server (HTML, JSP, servlets, and enterprise beans, and Domino database), or when accessing mul-tiple domains.
CACI - Federal, Enterprise Information Integration (EII) Division 1997 — 1999
Fairfax, VA Program Manager
Engagements included a Web-based virtual trade show, an integrated knowledge environment (IKE) for the DLA, and an intranet Virtual Parts Supply Base (VPSB) for the CALS Office. Attended CMM training/ meet-ings; presented work at IOC, DMEA, EC conferences. Wrote Defense Logistics Agency’s VPSB Information Architecture and Business Model deliverables in compliance with COE DII, including: 1) risk assessment, 2) differentiation of environments, systems, devices, and functions that can or will be tested against those that cannot or should not, 3) documentation of assumptions formed during project analysis. Worked with domain experts in BPR and enterprise collaboration to develop and implement integrated solutions to life cycle prod-uct support for both government and commercial clients. Worked with systems engineers/ software develop-ers to integrate COTS products in intranet, workflow, and inventory management for Integrated Data Environment (IDE) over the entire product lifecycle. Used LM/CACI BPR methodologies. Responsible for reporting on vendors RFP for Y2K technology evaluation within Arlington County Circuit Clerk’s Deeds Judgments/ Wills /Financing Statements using document imaging, based on Kodak 990, COTS, NT, Oracle 7, and CICS Mainframe legacy data. Responsible for the IV&V of Bureau of Census prototypes in Data Proc-essing Centers in Bowie, Baltimore, Jeffersonville, Oakland, and New Orleans; prototypes for processing test hand-written forms. For the upcoming Data Capture System (DCS2000) for the Year 2000 Census, Phase II, wrote Checkout & Certification Plan & Procedure and system integration testing scripts. The System converts hand written forms into title 13 ASCII format in 5 information centers via T1 links; is NT with Optical Bar-code/ Mark/ Intelligent Recognition, Oracle RDBMS, Staffware WF, firmware, Solaris backup WS.
Mitretek Systems 1996 — 1997
McLean, VA Lead Staff
Analyzed DOJ’s Integrated Automated Fingerprint Identification System (IAFIS) WAN architecture into functional, infrastructure, performance. Used the following system/segment documents: Life Cycle Cost Es-timate, System Requirements Definition/Specification/Design, User/ Full Operation Capability CONOPS, Transaction Interface Control, IDAS Functional Spec, AFIS Function/Performance Spec, ITN Segment Spec, Gateway Software Design, III Segment Spec, NLETS, CJISWAN, NCIC2000. Analyzed document digitaliza-tion in its four phases of capture/scan, control/collaboration, archive/retrieval, process/workflow. Captured data modeling in slides/Web pages with drilldown charts. Designed a BPR methodology for enterprise archi-tecture integration based on the DoD Enterprise Information Architecture (EIA) standards in terms of Func-tional-logic, Systems-infrastructure, and Technical-performance components. It includes use cases; nodal maps (man-machine rationalization), task lists (manual/ automation option), activity schedules (cycle-time/ throughput improvement). It uses waterfall steps: planning, analysis, data acquisition, modeling, simulation, operations (as-is), initiatives, alternatives (to-be), actuals (metrics), and measure of effectiveness/ perform-ance (MOE/MOP). Worked with domain experts to develop/ elicit KBS for activity optimization. Tested/ evaluated hardware, COTS products for browsers, BPR/ workflow modeling, and database. Developed an EIA using a spiral methodology for expert knowledge acquisition, systems engineering, workflow automation for DOE DPI three sub-flows of production, ad-hoc, and administrative. Planned an email enabled productiv-ity improvement workflow based on intranet metrics. Captured process rules, routing/ queue tables, audit trails, transactions, and roles by interviewing domain experts, analyzing tracking data, and using CASE tools. Used IDEF0/1X in enterprise-activity/ data modeling and the Web to research products matrix. Provided technical services in IDE modeling to DISA using industry best practices, EDI, COE DII, CODE, COP. Used CASE tools to capture network infrastructure, data/applications topologies, transmit protocols. Studied ISO9000, change paradigm, and TAFIM standards.
Advanced Engineering & Research Associates 1994 — 1995
Arlington, VA Technical Director
Prototyped a WAN enterprise client-server architecture to capture data from high volume paper forms; map into a relational database management system (RDBMS) via T1 link for Bureau of the Census (BOC) Decen-nial Census System (DCS). This was based on clusters of 8 Sun SPARC20s and 31 i486s with 2 Kodak 990D scanners, Cornerstone DualPage 120i, barcode reader, OCR, OMR, key from image/paper (KFI/P), storage, scoring, index, workflow, and database software packages. Did QA checkout all products/ deliver-ables before submission to clients. Wrote an integration T&E plan for headdown / headup (KFP/KFI) key en-try and ICR to independently validate and verify COTS/custom products using inspection, analysis, demo, and testing. Created production workflow automation for form generation/recognition. Designed a legacy data migration upgrade for SPAWAR MIDA from Oracle6/ Wang to Oracle7/ HP9000; proposed as the prin-ciple investigator for 2 DoD SBIR projects. Designed a client-server Sun-P5-NetWare JAD and a PC-CD changer deployment platforms for the Navy-BIW interactive electronic technical manual and computer based training (CBT) modules on a hypertext retrieval electronic publisher (SGML), Oracle7, and backfile conver-sion products; studied the NIST ICR and milstd-498 (s/w dev/doc). Proposed an enterprise workflow, to cap-ture, archive, and disseminate high volume forms for DOL, based on O/ICR, text search/retrieval. Designed a publisher to disseminate flat files on PC/Mac target CD drives using CD-R, mastering/ replication with a search engine.
Universal Systems & Technology 1991 — 1994
Arlington, VA Senior Engineer/Analyst
Developed KBS architecture for Defense Nuclear Agency on world nuclear, biological/ chemical facilities, experts, and references on Paradox using a text browser and data/process modeler. Identified emerging soft-ware for RDBMS, search, OCR, and help packages. Set up a development multimedia platform to spawn data in a dozen formats, process them, and create text/ graphic reports. Conceptualized hazard prediction/ risk as-sessment on slides using CAP88/ ARAC. Used IDAC (interactive data acquisition/compression), a real-time lossy/ lossless imaging package, JPEG lossy image compression. Interfaced for acceptance/ advocacy of the final product with COTR. Implemented the Navy's F/A-18 tactical geometry display of a planview map with symbols overlay in Operational Flight/Weapons Tactics Trainers (WTT) on a SPARC20/ SGI X/ Motif. Per-formed on-line trouble-shooting for a full life cycle DOS/ UNIX RDBMS in linking, coding, compiling, op-timizing, via modem, BBS, fax, phone. Wrote C/dBase modules for graphic/ business applications. Created VPExpert diagnostic packages/ rtf modules using MS Help Compiler tagging topics in a helpdesk package.
Stellacom-NASA HQ 1986 — 1990
Arlington, VA Senior Computer Scientist
Led a project through feasibility, specification, design review, testing, validation, documentation, and imple-mentation. Simulated the Space Station TV cameras on a multimedia SGI and a real-time image generator. Tested state-of-the-art 3D graphic software/ hardware COTS products. Visited most of NASA and other simulation sites; wrote a feasibility report. Presented status/trip reports regularly to the NASA Television De-velopment Division Director. Resolved hardware/ software customer cross-platform problems. Taught statis-tical mechanics, microelectronics, circuit analysis, modeling, simulation; advised students on courses, specialization, job targets; administered curriculum plans.
Trillium Corp. 1979 — 1985
Glen Rock, NJ Applications Director
Performed a leading role in System Integration for the Engineering, Design, Fabrication and Testing of ad-vanced special purpose hardware for real-time image generation, for the Navy. Directed QA specialists per-forming board design for a super computer for F/A 18 interactive training. Developed a full life cycle application/database to visualize the world in real-time, a 3D graphic algorithm for cache-memory allocation. Was a co-founder and the Board of Directors' member, wrote proposals, interfaced with customers, wrote fi-nancial analyses/ market surveys. Supervised Array 1 of a parallel-pipelined image generator prototype in-cluding CPU, A&L, cache, I/O boards for the Hughes/ Navy F/A-18 2-dome WTT. Wrote the Roland tank-crew trainer proposal for periscope visualization. Interfaced with clients and lectured for the staff. Conducted worldwide sale, to seek international acceptance, venture capital, and product sales in Germany, Switzerland, Belgium, Canada, Mexico.
Data Acquisition Center, Med College of Virginia 1974 — 1979
Richmond, VA Project Director
Responsible for a LAN development, engineering, testing, under a research program funded by the NIH. Performed selection/ procurement of COTS hardware, as well as management of sub–contractors for electrical communication boxes. Directed a $250k CBT project in a report to NIH. Developed state variable and Monte Carlo models in Fortran, simulated for student interaction; one of them, successfully used for the late president R. M. Nixon's remote pharmacokinetic treatment. Taught test measurement, instrumentation, mi-croelectronics, simulation, modeling; served on graduate committees; counseled on curriculum.
Space Sciences Research Center 1969 — 1974
Columbia, MO Research Associate
Irradiated bio-tissues in NRC Missouri University Research Reactor of 10,000 kW(t) tank type; measured mechanical responses to electrical inputs and drug distribution in vivo. Applied regression analysis to evalu-ate model parameters. Designed electrical controllers for the GE's boiling water reactor of 772 net MW(e), 1970 criticality, Dresden Nuclear Power Station, Unit 2.
PUBLICATIONS http://itbaran.blogspot.com/
1. Sam Baran, et al (2002) Overarching Configuration Control: Project Management, DISA, 54p.
2. Sam Baran (2002) Synchronous Collaborative Requirements, DISA, 24p.
3. Sam Baran (2002) Security Access Management COTS Product Evaluation, DISA, 52p.
4. Sam Baran, et al (2001) Defense EB Exchange Systems Customer Support Contractor Selection, JECE, 75p.
5. Sam Baran (2001) Security Access Management/ Single Sign On Requirements, JECE, 14p.
6. Sam Baran, et all (2001) Emall Workflow Prototype, JECE, GS-35F-4810G, 44p.
7. Sam Baran (2001) Logistics Electronic Business Via Enterprise Information Brokerage, Delphi Group, Coronado-CA.
8. Sam Baran, et al (2000) JECE Evaluation & Demonstration Center Test Tools, GS-35F-4810G,56 p.
9. Sam Baran, et al (2000) Enterprise Workflow Products Evaluation (phase 1), GS-35F-4810G, 79 p.
10. Sam Baran, et al (2000) Public Key Infrastructure Interoperability, JECPO, 76p.
11. Sam Baran, et al (1999) Comparison of ECPN and DAAS, DISA JECPO, 19 p.
12. Sam Baran, et al (1999) Data Warehouse Analysis, DISA JECPO, 46 p.
13. Sam Baran, et al (1999) Single Sign-On Analysis, DISA JECPO, 55 p.
14. Sam Baran, et al (1999) Digital Signature Analysis, DISA JECPO, 118 p.
15. Sam Baran, et al (1999) Enterprise Workflow Business Case, JECPO, 15 p.
16. Sam Baran (1999) Web-Based Enterprise Solution, HUD, 35 p.
17. Sam Baran (1998) DCS2000 Checkout & Certification Plan, 8260-09, 37 p.
18. Sam Baran (1998) VPSB Information Arch, FEDSIM 97260DEO-09, 97 p.
19. Sam Baran (1998) Tech Hubs Via Virtual Enterprise, CALS98, LB-CA, 10p.
20. Sam Baran (1998) VPSB Business Model, FEDSIM 97260DEO-09, 57 p.
21. Sam Baran (1997) Virtual Parts Supply Base (VPSB) ConOp, CACI, 20 p.
22. Sam Baran (1997) Enterprise Information Arch., Mitretek, D0496-0220, 20p.
23. Sam Baran (1997) IAFIS Information Architecture at a Glance, Mitretek, D0496-0220, 104p.
24. Sam Baran, et all (1996) Declassification Productivity Initiatives (DPI) Study-Data Collection Plan, 26p; DPI Project Plan, 34p; DPI Final Plan, 100p, DE-AC01-94SA10056.
25. Sam Baran (1995) Subject Recommendations for Imaging Technology Enhancements, Dept. Of La-bor, J-9-p-3-0023, 26p.
26. Sam Baran, et all (1995) Data Modeling of an Enterprise Network Architecture, DISA, 15p.
27. Sam Baran (1994) The Development Environment for the IETM & CBT Modules for the DDG 51 Class Gas Turbine Generator Allison Model 501K34/AG9130, N00024-89-2033, 8p.
28. Sam Baran (1994) Legacy Data Upgrade of SPAWAR MIDA from Wang-Oracle6 to HP-Oracle7, N00039-93-C-0175, 12p.
29. Sam Baran (1994) The Integration and Test Plan for the 1995 Test Census Prototype Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 25p.
30. Sam Baran, B. Googins (1994) The Architecture Plan for the 1995 Test Census Prototype Configura-tion for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 23p.
31. Sam Baran, et all (1994) Nuclear, Biological and Chemical Target Dominant Source Knowledge Base Development, DNA001-93-C-0125, 210p.
32. Sam Baran (1993) Text Retrieval/ Information Management - Products Matrix, Report to DNA, Alex-andria, VA, 10p.
33. Sam Baran (1993) Mapping, Imaging, Charts, Report to DNA, Alexandria, VA, 5p.
34. Sam Baran (1990) Virtual Simulation of Space-Based Camera System, 21st Ann. Pittsburgh Confer-ence on Modeling and Simulation, Pittsburgh, PA.
35. Sam Baran (1990) Results of a Feasibility Study for Adapting Virtual Simulation Technology to the Design of Space Based Camera System, NASW-4376, 91p.
36. Sam Baran (1983) Trillium User's Manual UM 0983, Trillium Corp., Glen Rock, NJ, 84p.
37. Nick Dager (1983) IRIS: Computer Specialization, Millimeter, p123.
38. Sam Baran, R. J. Swallow (1983) IRIS - Mechanical CAD/CAM Applications, 4th Ann. Conf. & Expo of the Nat. Computer Graphics Association, Chicago, IL, 507-510.
39. …
70. Sam Baran (1974) Modeling, Testing, Simulation and Optimization of Digitalis Pharmacokinetics, Ph.D. Dissertation, Dept. Electrical Engineering, University of Missouri, Columbia, 124p.
71. Sam Baran (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, Master Thesis, Dept. Nu-clear Engineering, University of Missouri, Columbia, MO, 118p. 4284
PROFESSIONAL RECOGNITION/AFFILIATIONS:
CACI Achievement Letter, 1999
Mitretek Recognition Frame, 1997
Members of IEEE and ACM, NCC AIIM, and IATFF (Information Assurance Task Force Forum)
Was Listed in US List of Scientists – Who is Who 1990
CLEARANCES: DoD DSS Interim Secret, 6 April 1999
Results of a Feasibility Study for Adapting Virtual Simulation Technology to the Design of Space Based Camera System, NASW-4376, StellaCom/ NASA HQ TV Div, Wash DC 1988
ABSTRACT
NASA's R&D programs and the Headquarters Office of Communications keep abreast of video technology. The latter has established the Television Development Division (TDD) to insure look-ahead and look-aside for video technology. The TDD focuses on the acquisition and operation of NASA video systems in media dissemination. In partial fulfillment of its objectives, a contract was granted to StellaCom ATSG to furnish research, engineering, operation, and program management support services.
ATSG analyzed selected NASA R&D programs, technical and institutional, planned and under development and identified opportunities with potential for use of advanced video systems. The analysis of research and engineering services necessitated a thorough study of ongoing programs both within and outside NASA and assessment of the technology, standards and practices.
The analysis indicated several programs, in particular, Space Station Freedom (SSF) with potential for the use of advanced video systems. Subsequently, a detailed understanding of the Station led to zooming on virtual simulation as a powerful tool to study space-based television system.
The results of the study are given in this report in terms of description of NASA simulation projects, analysis of TDD video requirements, assessment of available technology and feasibility of applying simulation technology to television development using a low end virtual simulator (emulator). The emulator demonstrates nonverbally and pictorially the study of space-based camera systems. In so doing, virtual simulation applications in design and training are extended to a novel frontier: presentation. In this context, after camera design and camera crew training, virtual simulation can be applied in generating scenario shotlists to be implemented by TV planners. Emulation for engineering design is an enhancement and innovation in the presentation of concepts and the validation of proposals based on the their visualization.
Since Space Station Freedom's structural design is evolving the ease of breaking into the database through the authoring language and modifying the simulation for another camera design lends itself conveniently to the use of an emulator to achieve various suggested camera positions in terms of FOV and lighting. An emulator is a minimally adequate virtual simulator for use in design of space based camera systems. The cost is extremely low due to emulating the space based camera design being decoupled from the television plan.
The progress in implementing this task included first hand observation of virtual simulation projects within NASA Centers, technical assessment of relevant vendors products, and a preliminary emulation of space camera system. It sets the initial state for the emulation of SSF television system in time to meet the PDR scheduled for November 1990. The work can be presented for the assessment of television system. It can also be extended for the Shuttle photography and satellite picture by emulating arrested scenes and quantifying their corresponding descripors such as lighting and FOV.
The report summarizes present state-of-the-art virtual simulation.
The changing world to be simulated consists of the Space Station, the Shuttle and the background including the Moon, Earth, and stars. The Space Station exterior is relatively less detailed than the interior. Therefore, High Definition TV (HDTV) for the resolution of small areas in the LAB/HAB modules interior will be an option. This brings together two technologies, high compute power, high resolution of simulation and HDTV. Although, the aspect ratios are different, high resolution graphics display buffer can be expanded to HDTV format. The merger of realtime, high resolution computer graphics with video technology may be in tune with the upgrading of broadcast television of the mid-ninties to HDTV.
Opportunities for the use of virtual simulation exist in the Space Station Freedom, Space Transportation System and the Office of Exploration. For the Space Station program the development is proposed in four overlapping stages. Various SSF configurations and window shapes, space-based television and assembly sequence operations can be studied.
1. To demonstrate the feasibility of adapting virtual simulation technology to the space-based camera system in terms of a low cost image generator called an emulator and the television plan for Space Station in terms of a virtual simulator yet to be introduced.
2. To implement SSF camera system design on the emulator with near realistic image quality, then various SSF configurations and assembly sequence operations.
3. To recommend mods to the simulation system to integrate High Definition Television (HDTV) multichannel displays with very realistic imagery.
4. To implement NASA TV plans and scenarios as well as popularizing the concept developments.
All NASA Centers are envolved in simulation, be it numerical, graphic, procedural, or virtual. Virtual simulation is a subset of visual simulation with an extra step in the mathematical transformation of the eye view point with programable variables. Therefore, all the hardware and techniques of the latter are applicable to the former. Only in a very limitted sense, the latter modifier is added in certain parts of this report. Each Center has many projects to simulate various aspects of space exploration. The following Centers which were visited are briefly described herein: KSC, JSC, MSFC, ARC, JPL, LRC, and STSI. In simulation not only development and integration are important, but also the experience of operating the system. Therefore, both vendors as suppliers of the technology and sites as repertoires of operation are studied. The latter, besides NASA Centers, are NTSC, HAC, and BAC.
Simulation is the mathematical modeling of a 3D world and the displaying of a perspective from a given vantage point to allow motion through the world and observation of the surroundings. It has been applied in training, design and presentation. Simulation has two distinct components: Modeling (shape: representation of object geometry or boundary topology) and Rendering (shade: representation in terms of surface property or color texture). The model is encoded in digital format in a software package consisting of two modules: The Author Language (AL) for objects and the Atom Compiler (AC) for atoms. AL permits a user to construct a world of 3?dimensional objects, and then to locate himself within that world to see a perspective view of his objects from any desired position and orientation. An object is composed of other less complex objects which are defined and given names previously. Atoms are the basic shapes from which all other objects are derived. The most fundamental concept of the authoring system is the ability to construct new objects by applying transformations to other existing objects.
A logical extension of virtual simulation is the visualization of scientific concepts for explanation and popularization. In this regard, virtual simulation is the best way to present concepts to others by showing them what one has in mind. It not only shows time-arrested snapshots but also dynamics of the evolving concept. The video output can be canned motion with a fixed vantage point or interactive in real time for changing the subsequent images. Video makes the compelling reasons behind a concept easier to grasp. It systemizes abstract concepts to concrete images in a consistent changing sequence. To explain scientific time-variant concepts is an appealing application of virtual simulation. Furthermore human exploration of the Solar system with various scenarios and frequent revisions is a comparable application.
Author Language permits the construction of more complex objects/ worlds from transformed combinations of existing objects and atoms. Allowable transformations inlcude: Translation (moves in x, y, z), Rotation about any axis, Size scaling, Facet or point recoloring (the color within a facet is a linear interpolation obtained from the color at the finite set of points defining the surface).
The purpose of the study is to determine 1) the feasibility of adapting virtual simulation technologies to the design and development of Space based TV systems, 2) development of the specs and requirements for the above systems by using graphic tools, and 3) determination of the time required and cost to establish the capability for virtual simulation driven by NASA requirements.
Virtual Simulation is the mathematical modeling of a 3D world and the displaying of a perspective from a given vantage point to allow motion through the world and observation of the surroundings. Simulation has been applied for training, design, and presentation. It is believed, however, that this project is the first application using virtual simulation for camera system design. Other applications are typically from out-the-window view points. The present application is through the lens of the camera and what the television system captures. It is particularly useful for determining camera design, camera location, pan, tilt, zoom, lighting, and field of view for the desired content and effect in television.
This project applies the first opportunity for real time simulation for camera visualization. It is also noted that this application has not been attempted in other NASA facilities due to the formidable cost of the equipment.
Virtual simulation's application in the Space Station is in several ways: camera location/ orientation, TV plan, and video downlink allocation. It could be helpful for camera design to simulate the camera's behavior, to redesign, create what-if scenarios, and evaluate fault modes. A simulator allows views of inaccessible areas under various conditions. The decisions on camera location can be validated by the simulation of its FOV for various mount coordinates. For fixed mounts, the camera's orientation can be simulated in sequence for a "good" FOV. To derive a TV plan for camera-interaction (lighting, FOV, objects, pan/tilt) decisions in video production, a model of these interactions needs to be implemented on the virtual simulation systems. This also quantifies the process of the camera-man's decision-making (spatially/temporally) in terms of logical, analytical shotlists for editing and post-production.
Virtual in contrast to training/out-the-window simulation can be used for generation of a tractable script to be used in shooting films. It avoids improvisation and overlooked shots and converges the real filming decision to post-production and editing. The decision-making is based on a priori knowledge, the initial state, the present state and a projected final state which can vary. Comprehending the dynamics inherent within these multidimensional states requires the use of computer-generated animation. This gives a run-down for group decisions on the effects of the shots to be made. Otherwise, for decisions on action point (focal) are at best heuristic/artistic evading quantification and logical explanation. Simulation helps to quantify shotlists for collective decision making, effect-response analysis, retracking and modifying; in order to prepare a well analyzed scenario for the actual shooting. Once the shotlist is frozen it can be automated to alleviate man for higher level tasks in the loop.
Virtual simulation can be used for many other purposes. For example, activities covered by television cameras to be downlinked in real time can be modeled and stored in a computer in the control room. In an operating environment, when the communication system is at capacity and it is not possible to send additional video signals through the system, the person in charge may wish to switch to another camera. The picture that would be seen through the other camera can be simulated using virtual simulation and shown on the control room monitor to see if live switching of the video signal is advisable. In this way virtual simulation can prove valuable to both designers and operational managers of spacecraft communications systems. It can also be used in the visualization of scenarios which would result from real-time replanning or contingency situations.
The results of this extensive investigation indicate that the use of virtual simulation for camera design is not being carried out within NASA or outside of NASA. A number of different machines and considerable sophisticated software are being used in simulation for training, design and presentation. It is recommended that a two step approach be taken for applying virtual simulation to television visualization. The first step is to obtain a minimally acceptable virtual simulator to study camera system design in space based systems.
It is therefore recommended that work begin immediately to model the camera system for Space Station Freedom. The first step is to acquire the emulator and interface it to a PC-AT. An elementary model would be made of the exterior of SSF including trusses, solar panels, and modules. The emulator would be programmed real time interaction with the viewpoint through a simple camera that would exhibit position, magnification, pan, tilt, and zoom. Objects would appear flat shaded with no shadows and no reflections.
ABSTRACT
NASA's R&D programs and the Headquarters Office of Communications keep abreast of video technology. The latter has established the Television Development Division (TDD) to insure look-ahead and look-aside for video technology. The TDD focuses on the acquisition and operation of NASA video systems in media dissemination. In partial fulfillment of its objectives, a contract was granted to StellaCom ATSG to furnish research, engineering, operation, and program management support services.
ATSG analyzed selected NASA R&D programs, technical and institutional, planned and under development and identified opportunities with potential for use of advanced video systems. The analysis of research and engineering services necessitated a thorough study of ongoing programs both within and outside NASA and assessment of the technology, standards and practices.
The analysis indicated several programs, in particular, Space Station Freedom (SSF) with potential for the use of advanced video systems. Subsequently, a detailed understanding of the Station led to zooming on virtual simulation as a powerful tool to study space-based television system.
The results of the study are given in this report in terms of description of NASA simulation projects, analysis of TDD video requirements, assessment of available technology and feasibility of applying simulation technology to television development using a low end virtual simulator (emulator). The emulator demonstrates nonverbally and pictorially the study of space-based camera systems. In so doing, virtual simulation applications in design and training are extended to a novel frontier: presentation. In this context, after camera design and camera crew training, virtual simulation can be applied in generating scenario shotlists to be implemented by TV planners. Emulation for engineering design is an enhancement and innovation in the presentation of concepts and the validation of proposals based on the their visualization.
Since Space Station Freedom's structural design is evolving the ease of breaking into the database through the authoring language and modifying the simulation for another camera design lends itself conveniently to the use of an emulator to achieve various suggested camera positions in terms of FOV and lighting. An emulator is a minimally adequate virtual simulator for use in design of space based camera systems. The cost is extremely low due to emulating the space based camera design being decoupled from the television plan.
The progress in implementing this task included first hand observation of virtual simulation projects within NASA Centers, technical assessment of relevant vendors products, and a preliminary emulation of space camera system. It sets the initial state for the emulation of SSF television system in time to meet the PDR scheduled for November 1990. The work can be presented for the assessment of television system. It can also be extended for the Shuttle photography and satellite picture by emulating arrested scenes and quantifying their corresponding descripors such as lighting and FOV.
The report summarizes present state-of-the-art virtual simulation.
The changing world to be simulated consists of the Space Station, the Shuttle and the background including the Moon, Earth, and stars. The Space Station exterior is relatively less detailed than the interior. Therefore, High Definition TV (HDTV) for the resolution of small areas in the LAB/HAB modules interior will be an option. This brings together two technologies, high compute power, high resolution of simulation and HDTV. Although, the aspect ratios are different, high resolution graphics display buffer can be expanded to HDTV format. The merger of realtime, high resolution computer graphics with video technology may be in tune with the upgrading of broadcast television of the mid-ninties to HDTV.
Opportunities for the use of virtual simulation exist in the Space Station Freedom, Space Transportation System and the Office of Exploration. For the Space Station program the development is proposed in four overlapping stages. Various SSF configurations and window shapes, space-based television and assembly sequence operations can be studied.
1. To demonstrate the feasibility of adapting virtual simulation technology to the space-based camera system in terms of a low cost image generator called an emulator and the television plan for Space Station in terms of a virtual simulator yet to be introduced.
2. To implement SSF camera system design on the emulator with near realistic image quality, then various SSF configurations and assembly sequence operations.
3. To recommend mods to the simulation system to integrate High Definition Television (HDTV) multichannel displays with very realistic imagery.
4. To implement NASA TV plans and scenarios as well as popularizing the concept developments.
All NASA Centers are envolved in simulation, be it numerical, graphic, procedural, or virtual. Virtual simulation is a subset of visual simulation with an extra step in the mathematical transformation of the eye view point with programable variables. Therefore, all the hardware and techniques of the latter are applicable to the former. Only in a very limitted sense, the latter modifier is added in certain parts of this report. Each Center has many projects to simulate various aspects of space exploration. The following Centers which were visited are briefly described herein: KSC, JSC, MSFC, ARC, JPL, LRC, and STSI. In simulation not only development and integration are important, but also the experience of operating the system. Therefore, both vendors as suppliers of the technology and sites as repertoires of operation are studied. The latter, besides NASA Centers, are NTSC, HAC, and BAC.
Simulation is the mathematical modeling of a 3D world and the displaying of a perspective from a given vantage point to allow motion through the world and observation of the surroundings. It has been applied in training, design and presentation. Simulation has two distinct components: Modeling (shape: representation of object geometry or boundary topology) and Rendering (shade: representation in terms of surface property or color texture). The model is encoded in digital format in a software package consisting of two modules: The Author Language (AL) for objects and the Atom Compiler (AC) for atoms. AL permits a user to construct a world of 3?dimensional objects, and then to locate himself within that world to see a perspective view of his objects from any desired position and orientation. An object is composed of other less complex objects which are defined and given names previously. Atoms are the basic shapes from which all other objects are derived. The most fundamental concept of the authoring system is the ability to construct new objects by applying transformations to other existing objects.
A logical extension of virtual simulation is the visualization of scientific concepts for explanation and popularization. In this regard, virtual simulation is the best way to present concepts to others by showing them what one has in mind. It not only shows time-arrested snapshots but also dynamics of the evolving concept. The video output can be canned motion with a fixed vantage point or interactive in real time for changing the subsequent images. Video makes the compelling reasons behind a concept easier to grasp. It systemizes abstract concepts to concrete images in a consistent changing sequence. To explain scientific time-variant concepts is an appealing application of virtual simulation. Furthermore human exploration of the Solar system with various scenarios and frequent revisions is a comparable application.
Author Language permits the construction of more complex objects/ worlds from transformed combinations of existing objects and atoms. Allowable transformations inlcude: Translation (moves in x, y, z), Rotation about any axis, Size scaling, Facet or point recoloring (the color within a facet is a linear interpolation obtained from the color at the finite set of points defining the surface).
The purpose of the study is to determine 1) the feasibility of adapting virtual simulation technologies to the design and development of Space based TV systems, 2) development of the specs and requirements for the above systems by using graphic tools, and 3) determination of the time required and cost to establish the capability for virtual simulation driven by NASA requirements.
Virtual Simulation is the mathematical modeling of a 3D world and the displaying of a perspective from a given vantage point to allow motion through the world and observation of the surroundings. Simulation has been applied for training, design, and presentation. It is believed, however, that this project is the first application using virtual simulation for camera system design. Other applications are typically from out-the-window view points. The present application is through the lens of the camera and what the television system captures. It is particularly useful for determining camera design, camera location, pan, tilt, zoom, lighting, and field of view for the desired content and effect in television.
This project applies the first opportunity for real time simulation for camera visualization. It is also noted that this application has not been attempted in other NASA facilities due to the formidable cost of the equipment.
Virtual simulation's application in the Space Station is in several ways: camera location/ orientation, TV plan, and video downlink allocation. It could be helpful for camera design to simulate the camera's behavior, to redesign, create what-if scenarios, and evaluate fault modes. A simulator allows views of inaccessible areas under various conditions. The decisions on camera location can be validated by the simulation of its FOV for various mount coordinates. For fixed mounts, the camera's orientation can be simulated in sequence for a "good" FOV. To derive a TV plan for camera-interaction (lighting, FOV, objects, pan/tilt) decisions in video production, a model of these interactions needs to be implemented on the virtual simulation systems. This also quantifies the process of the camera-man's decision-making (spatially/temporally) in terms of logical, analytical shotlists for editing and post-production.
Virtual in contrast to training/out-the-window simulation can be used for generation of a tractable script to be used in shooting films. It avoids improvisation and overlooked shots and converges the real filming decision to post-production and editing. The decision-making is based on a priori knowledge, the initial state, the present state and a projected final state which can vary. Comprehending the dynamics inherent within these multidimensional states requires the use of computer-generated animation. This gives a run-down for group decisions on the effects of the shots to be made. Otherwise, for decisions on action point (focal) are at best heuristic/artistic evading quantification and logical explanation. Simulation helps to quantify shotlists for collective decision making, effect-response analysis, retracking and modifying; in order to prepare a well analyzed scenario for the actual shooting. Once the shotlist is frozen it can be automated to alleviate man for higher level tasks in the loop.
Virtual simulation can be used for many other purposes. For example, activities covered by television cameras to be downlinked in real time can be modeled and stored in a computer in the control room. In an operating environment, when the communication system is at capacity and it is not possible to send additional video signals through the system, the person in charge may wish to switch to another camera. The picture that would be seen through the other camera can be simulated using virtual simulation and shown on the control room monitor to see if live switching of the video signal is advisable. In this way virtual simulation can prove valuable to both designers and operational managers of spacecraft communications systems. It can also be used in the visualization of scenarios which would result from real-time replanning or contingency situations.
The results of this extensive investigation indicate that the use of virtual simulation for camera design is not being carried out within NASA or outside of NASA. A number of different machines and considerable sophisticated software are being used in simulation for training, design and presentation. It is recommended that a two step approach be taken for applying virtual simulation to television visualization. The first step is to obtain a minimally acceptable virtual simulator to study camera system design in space based systems.
It is therefore recommended that work begin immediately to model the camera system for Space Station Freedom. The first step is to acquire the emulator and interface it to a PC-AT. An elementary model would be made of the exterior of SSF including trusses, solar panels, and modules. The emulator would be programmed real time interaction with the viewpoint through a simple camera that would exhibit position, magnification, pan, tilt, and zoom. Objects would appear flat shaded with no shadows and no reflections.
PUBLICATIONS:
1. Sam Baran, et al (2002) Overarching Configuration Control: Project Manage-ment, DISA, 54 p.
2. Sam Baran (2002) Synchronous Collaborative Requirements, DISA, 24p.
3. Sam Baran (2002) Security Access Management COTS Product Evaluation, DISA, 52p.
4. Sam Baran, et al (2001) Defense EB Exchange Systems Customer Support Contractor Selection, JECE, 75p.
5. Sam Baran (2001) Security Access Management/ Single Sign On Require-ments, JECE, 14p.
6. Sam Baran, et al (2001) Emall Workflow Prototype, JECE, GS-35F-4810G, 44p.
7. Sam Baran (2001) Logistics Electronic Business Via Enterprise Information Brokerage, Delphi Group, Coronado-CA.
8. Sam Baran, et al (2000) JECE Evaluation & Demonstration Center Test Tools, GS-35F-4810G, 56 p.
9. Sam Baran, et al (2000) Enterprise Workflow Products Evaluation (phase 1), GS-35F-4810G, 79 p.
10. Sam Baran (2000) Public Key Infrastructure Interoperability, JECPO, 76p.
11. Sam Baran, et al (1999) Comparison of ECPN and DAAS, DISA JECPO, 19 p.
12. Sam Baran, et al (1999) Data Warehouse Analysis, DISA JECPO, 46 p.
13. Sam Baran, et al (1999) Single Sign-On Analysis, DISA JECPO, 55 p.
14. Sam Baran, et al (1999) Digital Signature Analysis, DISA JECPO, 118 p.
15. Sam Baran, et al (1999) Enterprise Workflow Business Case, JECPO, 15 p.
16. Sam Baran (1999) Web-Based Enterprise Solution, HUD, 35 p.
17. Sam Baran (1998) DCS2000 Checkout & Certification Plan, 8260-09, 37 p.
18. Sam Baran (1998) VPSB Information Arch, FEDSIM 97260DEO-09, 97 p.
19. Sam Baran (1998) Tech Hubs Via Virtual Enterprise, CALS98, LB-CA, 10p.
20. Sam Baran (1998) VPSB Business Model, FEDSIM 97260DEO-09, 57 p.
21. Sam B. Baran (1997) Virtual Parts Supply Base (VPSB) ConOp, CACI, 20 p.
22. Sam Baran (1997) Enterprise Information Arch., Mitretek, D0496-0220, 20p.
23. Sam B. Baran (1997) IAFIS Information Architecture at a Glance, Mitretek, D0496-0220, 104p.
24. Sam B. Baran (1996) Declassification Productivity Workflow Simulation/CACI SimProcess, 20p, DE-AC01-94SA10056.
25. Sam B. Baran, et all (1996) Declassification Productivity Initiatives (DPI) Study-Data Collection Plan, 26p; DPI Project Plan, 34p; DPI Final Plan, 100p, DE-AC01-94SA10056.
26. Sam B. Baran (1995) Subject Recommendations for Documents Imaging & Tech-nology Enhancements, Dept. Of Labor, J-9-p-3-0023, 26p.
27. Sam B. Baran, et all (1995) Enterprise Network Arch. Data Modeling, DISA, 15p.
28. Sam B. Baran (1994) Development Environment for IETM/CBT Modules for the DDG 51 Class Gas Turbine Generator Allison Model 501K34/AG9130, N00024-89-2033, 8p.
29. Sam B. Baran (1994) Legacy Data Upgrade of SPAWAR MIDA from Wang-Oracle6 to HP-Oracle7, N00039-93-C-0175, 12p.
30. Sam B. Baran (1994) The Integration and Test Plan for the 1995 Test Census Proto-type Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 25 p.
31. Sam B. Baran, B. Googins (1994) The Architecture Plan for the 1995 Test Census Prototype Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 12 p.
32. Sam B. Baran, et all (1994) Nuclear, Biological and Chemical Target Dominant Source Knowledge Base Develop, DNA001-93-C-0125,210 p.
33. Sam B. Baran (1993) Text Retrieval/ Information Management - Products Compari-son, Report to DNA, Alexandria, VA, 10 p.
34. Sam B. Baran (1993) Mapping, Imaging, and Charts, Report to DNA, Alexandria, VA, 5 p.
35. Sam B. Baran (1990) Virtual Simulation of Space-Based Camera System, 21st An-nual Pittsburgh Conference on Modeling and Simulation, Pittsburgh, PA.
36. Sam B. Baran (1990) Results of a Feasibility Study for Adapting Virtual Simulation Technology to the Design of Space Based Camera System, NASW-4376, 91 p.
37. Sam B. Baran (1983) Trillium User's Manual UM 0983, Trillium Corp., Glen Rock, NJ, 84 p.
38. Nick Dager (1983) IRIS: Computer Specialization, Millimeter, p 123.
39. Sam B. Baran, R. J. Swallow (1983) IRIS - Mechanical CAD/CAM Applications, 4th Ann. Conf. & Expo of the Nat. Computer Graphics Assoc., Chicago, IL, 507-510.
40. Sam B. Baran (1981) Modeling and Simulation of Night Scenes, 12th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 1139-42.
41. Sam B. Baran, R. J. Swallow (1981) Computer Image Generation In a Planetarium, 12th Annual Pittsburgh Conference on Modeling & Simulation, Pittsb, PA, 1135-8.
42. Sam B. Baran (1980) Projection Processor-44 List-Passes, Prototype II, ETR788-0001, Advanced Techn Sys, Fair Lawn, NJ, 54 p.
43. Sam B. Baran (1980) Author Language Module Flowchart for the Computrol, ETR788-0014, Advanced Tech Sys, Fair Lawn, NJ, 12 p.
44. Sam B. Baran (1980) Projection Processor Algorithm, Prototype II, ETR788-0013, Advanced Technology Systems, Fair Lawn, NJ, 24 pages.
45. Sam B. Baran (1980) Overview - Main Algorithm, Array I, System F/A-18, ETR788-0027, Advanced Tech Systems, Fair Lawn, NJ, 54 p.
46. Sam B. Baran, R. J. Swallow (1980) Computer Graphics of Complex Images in Training, 2nd Workshop on Picture Data Description Manag., Asilomar-CA, 207-12.
47. Sam B. Baran, R. J. Swallow (1980) Computrol in Flight Simulation, Intern Confer-ence & Exhibit Euro-graphics 80, Univ. of Geneva, Switzerland, 321-9.
48. Sam B. Baran (1980) State Variable Techniques in Pharmacokinetics Using Com-puter Graphics, 2nd Annual Conference of the IEEE Eng. in Medicine & Biology Soci-ety, Washington, DC, 78-82.
49. Sam B. Baran (1980) Computer Simulation of Visual Pattern Recognition, 11th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 140-3.
50. Sam B. Baran (1980) A Mathematical Model for the Visual World, 11th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 135-9.
51. Sam B. Baran (1980) Anti-Aliasing in Computer Imaging, 33rd ACEMB, Washing-ton, DC, 30.3.
52. Sam B. Baran (1980) A Mathematical Model for Visual Adaptation Control, 33rd ACEMB, Wash, DC, 136.
53. Sam B. Baran (1979) Modeling and Simulation of DPH Kinetics, 10th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 101-4.
54. Sam B. Baran (1979) SIMLAB-Computer Simulation in Laboratory, 32nd ACEMB, Denver, CO, 206.
55. Sam B. Baran (1979) Digital Computer Simul. In Pharmacokinetics, 32nd ACEMB, Denver, CO, 173.
56. Sam B. Baran, R. W. McLaren (1976) Modeling, Testing, Simulation, and Optimi-zation of Digitalis Pharmacokinetics, Proc. Intern. Conference Cybernetics & Society, Washington, DC, IEEE Systems, Man & Cybernetics Society, 361-7.
57. Sam B. Baran (1976) Final Program Report on Simlab Project, HEW, 03-D-005017-01, 144 pages.
58. Sam B. Baran (1976) Computer Simulation of Muscle Dynamics, 7th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 1241-4.
59. Sam B. Baran (1976) The Modeling of Mathematical Models, 7th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 499-501.
60. Sam B. Baran (1975) Digital Computer Simulation of Cerebrospinal Fluid System, Proceedings of 28th ACEMB, New Orleans, LA, 426.
61. Sam B. Baran, W. H. Barr (1975) A Mathematical Model of Anticoagulant Medica-tion, 6th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 349-51.
62. Sam B. Baran, M.J. Pedelty (1975) Computer Simulation of Biomedical Systems as a Teaching Aid, 6th Annual Pittsburgh Conference on Modeling & Simulation, Pitts-burgh, PA, 353-5.
63. Sam B. Baran, M.J. Pedelty, et al (1975) Digital Computer Simulation of Cardio-vascular System, Proceedings of 28th ACEMB, New Orleans, LA, 438.
64. Sam B. Baran (1974) Modeling, Testing, Simulation and Optimization of Digitalis Pharmacokinetics, Ph.D. Dissertation, Dept. Electrical Engineering, University of Mis-souri, Columbia, 124p.
65. Sam B. Baran, R. W. McLaren (1974) A Stochastic Model of Digitalis Pharmacoki-netics, 27th ACEMB, Philadelphia, PA, 29:5 (256).
66. Sam B. Baran, A. W. Hahn, R. W. McLaren (1974) Modeling, Simulation, and Op-timization of Digitalis Pharmacokinetics, 4th Iranian Conference on Electrical Engineer-ing, Shiraz, Iran.
67. Sam B. Baran (1973) A Control Model of Digitalis Pharmacokinetics - A Research Proposal, Dalton Research Center, Columbia, MO, 79 p.
68. Sam B. Baran, C. L. Partain (1973) Fourier Analysis of Skeletal Muscle Dynamics, 10th Symp on Biomathematics & Computer Science in the Life Sciences, Houston, TX.
69. Sam B. Baran, J. W. Chung, A. W. Hahn, R. W. McLaren, C. L. Partain (1973) A Mathematical Model of Pharmacokinetics of Digitalis Glycosides, 10th Ann. Rocky Mount. Symp, Boulder, CO, 139-42.
70. Sam B. Baran, r. W. McLaren (1973) A Model of Precapillary Sphincter Dynamics, International Symposium on Dynamics and Control in Physiological Systems, Roches-ter, NY, 103-5.
71. Sam B. Baran (1973) A Mathematical Model of Pharmacokinetics - A Progress Re-port, Dalton Research Center, Columbia, MO, 8 p.
72. Sam B. Baran, C. L. Partain (1972) A Stochastic Model of Skeletal Muscle Dy-namic, Proceedings 25th ACEMB, Bal Harbour, FL, 14:43.
73. Sam B. Baran, R. W. McLaren (1972) A Model for Speech Control, Proceedings of the 25th Annual Conference on Engineering in Medicine and Biology, Bal Harbour, FL, 14:5.7 (29).
74. Sam B. Baran, C. L. Partain (1972) Stochastic Versus Classical Approaches to the Modeling of Skeletal Muscle Dynamics, Proceedings of the San Diego Biomed. Sympo-sium, San Diego, CA, 227-33.
75. Sam B. Baran, C. L. Partain (1972) A Stochastic Model of Fatigue in Skeletal Mus-cle Dynamics, 3rd International Conference on Medical Physics Including Medical En-gineering, Gotenborg, Sweden, 3.6.
76. Sam B. Baran, C. L. Partain (1971) An Input-Output Model for Skeletal Muscle Dynamics, 24th ACEMB, Las Vegas, NV, 13:2 (97).
77. Sam B. Baran, C. L. Partain (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, 24th ACEMB, Las Vegas, NV, 13:10 (105).
78. Sam B. Baran, R. W. McLaren (1971) A Model for Local Micro-Hemocirculation Control by Precapillary Sphincter, Proceed.24th Ann. Conf. on Engg in Medicine and Biology, Las Vegas, NV, 36:8 (330).
79. Sam B. Baran (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, Master Thesis, Nuclear Engg. Dept., Univ. Missouri-Columbia, MO, 118 pp.
1. Sam Baran, et al (2002) Overarching Configuration Control: Project Manage-ment, DISA, 54 p.
2. Sam Baran (2002) Synchronous Collaborative Requirements, DISA, 24p.
3. Sam Baran (2002) Security Access Management COTS Product Evaluation, DISA, 52p.
4. Sam Baran, et al (2001) Defense EB Exchange Systems Customer Support Contractor Selection, JECE, 75p.
5. Sam Baran (2001) Security Access Management/ Single Sign On Require-ments, JECE, 14p.
6. Sam Baran, et al (2001) Emall Workflow Prototype, JECE, GS-35F-4810G, 44p.
7. Sam Baran (2001) Logistics Electronic Business Via Enterprise Information Brokerage, Delphi Group, Coronado-CA.
8. Sam Baran, et al (2000) JECE Evaluation & Demonstration Center Test Tools, GS-35F-4810G, 56 p.
9. Sam Baran, et al (2000) Enterprise Workflow Products Evaluation (phase 1), GS-35F-4810G, 79 p.
10. Sam Baran (2000) Public Key Infrastructure Interoperability, JECPO, 76p.
11. Sam Baran, et al (1999) Comparison of ECPN and DAAS, DISA JECPO, 19 p.
12. Sam Baran, et al (1999) Data Warehouse Analysis, DISA JECPO, 46 p.
13. Sam Baran, et al (1999) Single Sign-On Analysis, DISA JECPO, 55 p.
14. Sam Baran, et al (1999) Digital Signature Analysis, DISA JECPO, 118 p.
15. Sam Baran, et al (1999) Enterprise Workflow Business Case, JECPO, 15 p.
16. Sam Baran (1999) Web-Based Enterprise Solution, HUD, 35 p.
17. Sam Baran (1998) DCS2000 Checkout & Certification Plan, 8260-09, 37 p.
18. Sam Baran (1998) VPSB Information Arch, FEDSIM 97260DEO-09, 97 p.
19. Sam Baran (1998) Tech Hubs Via Virtual Enterprise, CALS98, LB-CA, 10p.
20. Sam Baran (1998) VPSB Business Model, FEDSIM 97260DEO-09, 57 p.
21. Sam B. Baran (1997) Virtual Parts Supply Base (VPSB) ConOp, CACI, 20 p.
22. Sam Baran (1997) Enterprise Information Arch., Mitretek, D0496-0220, 20p.
23. Sam B. Baran (1997) IAFIS Information Architecture at a Glance, Mitretek, D0496-0220, 104p.
24. Sam B. Baran (1996) Declassification Productivity Workflow Simulation/CACI SimProcess, 20p, DE-AC01-94SA10056.
25. Sam B. Baran, et all (1996) Declassification Productivity Initiatives (DPI) Study-Data Collection Plan, 26p; DPI Project Plan, 34p; DPI Final Plan, 100p, DE-AC01-94SA10056.
26. Sam B. Baran (1995) Subject Recommendations for Documents Imaging & Tech-nology Enhancements, Dept. Of Labor, J-9-p-3-0023, 26p.
27. Sam B. Baran, et all (1995) Enterprise Network Arch. Data Modeling, DISA, 15p.
28. Sam B. Baran (1994) Development Environment for IETM/CBT Modules for the DDG 51 Class Gas Turbine Generator Allison Model 501K34/AG9130, N00024-89-2033, 8p.
29. Sam B. Baran (1994) Legacy Data Upgrade of SPAWAR MIDA from Wang-Oracle6 to HP-Oracle7, N00039-93-C-0175, 12p.
30. Sam B. Baran (1994) The Integration and Test Plan for the 1995 Test Census Proto-type Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 25 p.
31. Sam B. Baran, B. Googins (1994) The Architecture Plan for the 1995 Test Census Prototype Configuration for an Electronic Imaging Data Capture System, 50-YABC-3-66007, 12 p.
32. Sam B. Baran, et all (1994) Nuclear, Biological and Chemical Target Dominant Source Knowledge Base Develop, DNA001-93-C-0125,210 p.
33. Sam B. Baran (1993) Text Retrieval/ Information Management - Products Compari-son, Report to DNA, Alexandria, VA, 10 p.
34. Sam B. Baran (1993) Mapping, Imaging, and Charts, Report to DNA, Alexandria, VA, 5 p.
35. Sam B. Baran (1990) Virtual Simulation of Space-Based Camera System, 21st An-nual Pittsburgh Conference on Modeling and Simulation, Pittsburgh, PA.
36. Sam B. Baran (1990) Results of a Feasibility Study for Adapting Virtual Simulation Technology to the Design of Space Based Camera System, NASW-4376, 91 p.
37. Sam B. Baran (1983) Trillium User's Manual UM 0983, Trillium Corp., Glen Rock, NJ, 84 p.
38. Nick Dager (1983) IRIS: Computer Specialization, Millimeter, p 123.
39. Sam B. Baran, R. J. Swallow (1983) IRIS - Mechanical CAD/CAM Applications, 4th Ann. Conf. & Expo of the Nat. Computer Graphics Assoc., Chicago, IL, 507-510.
40. Sam B. Baran (1981) Modeling and Simulation of Night Scenes, 12th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 1139-42.
41. Sam B. Baran, R. J. Swallow (1981) Computer Image Generation In a Planetarium, 12th Annual Pittsburgh Conference on Modeling & Simulation, Pittsb, PA, 1135-8.
42. Sam B. Baran (1980) Projection Processor-44 List-Passes, Prototype II, ETR788-0001, Advanced Techn Sys, Fair Lawn, NJ, 54 p.
43. Sam B. Baran (1980) Author Language Module Flowchart for the Computrol, ETR788-0014, Advanced Tech Sys, Fair Lawn, NJ, 12 p.
44. Sam B. Baran (1980) Projection Processor Algorithm, Prototype II, ETR788-0013, Advanced Technology Systems, Fair Lawn, NJ, 24 pages.
45. Sam B. Baran (1980) Overview - Main Algorithm, Array I, System F/A-18, ETR788-0027, Advanced Tech Systems, Fair Lawn, NJ, 54 p.
46. Sam B. Baran, R. J. Swallow (1980) Computer Graphics of Complex Images in Training, 2nd Workshop on Picture Data Description Manag., Asilomar-CA, 207-12.
47. Sam B. Baran, R. J. Swallow (1980) Computrol in Flight Simulation, Intern Confer-ence & Exhibit Euro-graphics 80, Univ. of Geneva, Switzerland, 321-9.
48. Sam B. Baran (1980) State Variable Techniques in Pharmacokinetics Using Com-puter Graphics, 2nd Annual Conference of the IEEE Eng. in Medicine & Biology Soci-ety, Washington, DC, 78-82.
49. Sam B. Baran (1980) Computer Simulation of Visual Pattern Recognition, 11th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 140-3.
50. Sam B. Baran (1980) A Mathematical Model for the Visual World, 11th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 135-9.
51. Sam B. Baran (1980) Anti-Aliasing in Computer Imaging, 33rd ACEMB, Washing-ton, DC, 30.3.
52. Sam B. Baran (1980) A Mathematical Model for Visual Adaptation Control, 33rd ACEMB, Wash, DC, 136.
53. Sam B. Baran (1979) Modeling and Simulation of DPH Kinetics, 10th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 101-4.
54. Sam B. Baran (1979) SIMLAB-Computer Simulation in Laboratory, 32nd ACEMB, Denver, CO, 206.
55. Sam B. Baran (1979) Digital Computer Simul. In Pharmacokinetics, 32nd ACEMB, Denver, CO, 173.
56. Sam B. Baran, R. W. McLaren (1976) Modeling, Testing, Simulation, and Optimi-zation of Digitalis Pharmacokinetics, Proc. Intern. Conference Cybernetics & Society, Washington, DC, IEEE Systems, Man & Cybernetics Society, 361-7.
57. Sam B. Baran (1976) Final Program Report on Simlab Project, HEW, 03-D-005017-01, 144 pages.
58. Sam B. Baran (1976) Computer Simulation of Muscle Dynamics, 7th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 1241-4.
59. Sam B. Baran (1976) The Modeling of Mathematical Models, 7th Annual Pitts-burgh Conference on Modeling & Simulation, Pittsburgh, PA, 499-501.
60. Sam B. Baran (1975) Digital Computer Simulation of Cerebrospinal Fluid System, Proceedings of 28th ACEMB, New Orleans, LA, 426.
61. Sam B. Baran, W. H. Barr (1975) A Mathematical Model of Anticoagulant Medica-tion, 6th Annual Pittsburgh Conference on Modeling & Simulation, Pittsburgh, PA, 349-51.
62. Sam B. Baran, M.J. Pedelty (1975) Computer Simulation of Biomedical Systems as a Teaching Aid, 6th Annual Pittsburgh Conference on Modeling & Simulation, Pitts-burgh, PA, 353-5.
63. Sam B. Baran, M.J. Pedelty, et al (1975) Digital Computer Simulation of Cardio-vascular System, Proceedings of 28th ACEMB, New Orleans, LA, 438.
64. Sam B. Baran (1974) Modeling, Testing, Simulation and Optimization of Digitalis Pharmacokinetics, Ph.D. Dissertation, Dept. Electrical Engineering, University of Mis-souri, Columbia, 124p.
65. Sam B. Baran, R. W. McLaren (1974) A Stochastic Model of Digitalis Pharmacoki-netics, 27th ACEMB, Philadelphia, PA, 29:5 (256).
66. Sam B. Baran, A. W. Hahn, R. W. McLaren (1974) Modeling, Simulation, and Op-timization of Digitalis Pharmacokinetics, 4th Iranian Conference on Electrical Engineer-ing, Shiraz, Iran.
67. Sam B. Baran (1973) A Control Model of Digitalis Pharmacokinetics - A Research Proposal, Dalton Research Center, Columbia, MO, 79 p.
68. Sam B. Baran, C. L. Partain (1973) Fourier Analysis of Skeletal Muscle Dynamics, 10th Symp on Biomathematics & Computer Science in the Life Sciences, Houston, TX.
69. Sam B. Baran, J. W. Chung, A. W. Hahn, R. W. McLaren, C. L. Partain (1973) A Mathematical Model of Pharmacokinetics of Digitalis Glycosides, 10th Ann. Rocky Mount. Symp, Boulder, CO, 139-42.
70. Sam B. Baran, r. W. McLaren (1973) A Model of Precapillary Sphincter Dynamics, International Symposium on Dynamics and Control in Physiological Systems, Roches-ter, NY, 103-5.
71. Sam B. Baran (1973) A Mathematical Model of Pharmacokinetics - A Progress Re-port, Dalton Research Center, Columbia, MO, 8 p.
72. Sam B. Baran, C. L. Partain (1972) A Stochastic Model of Skeletal Muscle Dy-namic, Proceedings 25th ACEMB, Bal Harbour, FL, 14:43.
73. Sam B. Baran, R. W. McLaren (1972) A Model for Speech Control, Proceedings of the 25th Annual Conference on Engineering in Medicine and Biology, Bal Harbour, FL, 14:5.7 (29).
74. Sam B. Baran, C. L. Partain (1972) Stochastic Versus Classical Approaches to the Modeling of Skeletal Muscle Dynamics, Proceedings of the San Diego Biomed. Sympo-sium, San Diego, CA, 227-33.
75. Sam B. Baran, C. L. Partain (1972) A Stochastic Model of Fatigue in Skeletal Mus-cle Dynamics, 3rd International Conference on Medical Physics Including Medical En-gineering, Gotenborg, Sweden, 3.6.
76. Sam B. Baran, C. L. Partain (1971) An Input-Output Model for Skeletal Muscle Dynamics, 24th ACEMB, Las Vegas, NV, 13:2 (97).
77. Sam B. Baran, C. L. Partain (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, 24th ACEMB, Las Vegas, NV, 13:10 (105).
78. Sam B. Baran, R. W. McLaren (1971) A Model for Local Micro-Hemocirculation Control by Precapillary Sphincter, Proceed.24th Ann. Conf. on Engg in Medicine and Biology, Las Vegas, NV, 36:8 (330).
79. Sam B. Baran (1971) Gamma Radiation Effects on Skeletal Muscle Dynamics, Master Thesis, Nuclear Engg. Dept., Univ. Missouri-Columbia, MO, 118 pp.
TECH HUBS VIA VIRTUAL ENTERPRISE INTRANET
Sam B. Baran, PhD
CACI
3930 Pender Dr.
Fairfax, VA 22030
Phone: 703-277-6761
Fax: 703-277-3450
E-mail: sbaran@hq.caci.com
ABSTRACT
A Tech Hub is the realization of a growing trend within the DoD and dependent industry in extending an enterprise virtually. It integrates the fast changing supply chain of phased-out parts needed in operational readiness of many of the older weapon systems, for controlling operations and support costs. The crea-tion of a Virtual Enterprise (VE) is gaining momentum by the differentiation of the Internet; based on pub-lishing local information vaults, collaboration over enterprise networks, and electronic commerce (EC).
The ODUSD(L)/LCIIO/CALS tasked FEDSIM to formulate a Concept to integrate procurement partners into a VE that can respond to problem parts (http://www.acq.osd.mil/). Further, an implementation plan is established in terms of a Virtual Parts Supply Base (VPSB) that rapidly and economically provides diffi-cult to obtain NSN and non-NSN parts of all categories. The core of the VPSB is a set of highly special-ized Tech (Technical) Hubs for the collaboration of the DoD logistic partners in the transaction of re-engineered, or deemed by DLA non-procurable, parts. The partners are customers, suppliers, Engineer-ing Support Activity, Service Depot Manufacturers, PM, contractors, resource centers, and stakeholders. A Tech Hub for microelectronic, DMEA, is set up to facilitate transactions among the DoD logistic chain in finding non-procurable parts (www.dmea.osd.mil). A second Hub for non-microelectronics (gears and bearings) is in progress.
Given a cadre of enterprise entrepreneur/engineer, technology tools, and business processes, a Hub so-licits partners; coordinates/ completes projects, follows standards, and provides information services. The Web-based Server/ Client (HTML, CGI, Java scripts) modules for data access (CORBA, COM, ODBC legacy), information sharing/navigation, directory/security management, communication/ collaboration, Internet E-mail, and the DoD contracting offices procurement EDI. The Hub processes are: handling or-dered parts, pass-thru for funds/samples, value-added orders (QA/ QML)/ technical data package (TDP), organic (MOU) and commercial (IDIQ) teaming, team capability/ cost selection.
The hierarchy of VE-VPSB-Tech Hub concept corresponds to Internet-extranet-intranet architecture. The architecture has a universal user interface, a common link via a Web browser with a secure, gauge-able intrusion in the partners IT infrastructure, and Java expandability. The VE-Internet is mainly for informa-tion dissemination, global communication, and approved registration. The VPSB-extranet is a WAN for partners to collaborate in the procurement chain. The Hub-intranet is a set of LAN workgroups to com-plete transactions by workflow, tracking, solution library, decision support, service bureau directory, pro-gram/ data/ network management, technology forecasting, and content creation for the Web site. The site, registered as .net, .com or .org, has a public access for browsing VE information and a registration/ approval workspace for collaborating partners. It uses either COTS or GOTS business applications for:
Ø Contact/Messaging Management (Calendaring, Scheduling, Customer Tracking)
Ø Workflow Automation
Ø Project Collaboration (Solution Library, Discussion, Project Management)
Ø Public Web Site/ Information Sharing (Home Page, Registration, Remote Site Maintenance).
Ø EC (Partners Directory, Order Management, TDP Capture/ Generation, RFQ/ Bid Responses Post-ings)
Sam B. Baran, PhD
CACI
3930 Pender Dr.
Fairfax, VA 22030
Phone: 703-277-6761
Fax: 703-277-3450
E-mail: sbaran@hq.caci.com
ABSTRACT
A Tech Hub is the realization of a growing trend within the DoD and dependent industry in extending an enterprise virtually. It integrates the fast changing supply chain of phased-out parts needed in operational readiness of many of the older weapon systems, for controlling operations and support costs. The crea-tion of a Virtual Enterprise (VE) is gaining momentum by the differentiation of the Internet; based on pub-lishing local information vaults, collaboration over enterprise networks, and electronic commerce (EC).
The ODUSD(L)/LCIIO/CALS tasked FEDSIM to formulate a Concept to integrate procurement partners into a VE that can respond to problem parts (http://www.acq.osd.mil/). Further, an implementation plan is established in terms of a Virtual Parts Supply Base (VPSB) that rapidly and economically provides diffi-cult to obtain NSN and non-NSN parts of all categories. The core of the VPSB is a set of highly special-ized Tech (Technical) Hubs for the collaboration of the DoD logistic partners in the transaction of re-engineered, or deemed by DLA non-procurable, parts. The partners are customers, suppliers, Engineer-ing Support Activity, Service Depot Manufacturers, PM, contractors, resource centers, and stakeholders. A Tech Hub for microelectronic, DMEA, is set up to facilitate transactions among the DoD logistic chain in finding non-procurable parts (www.dmea.osd.mil). A second Hub for non-microelectronics (gears and bearings) is in progress.
Given a cadre of enterprise entrepreneur/engineer, technology tools, and business processes, a Hub so-licits partners; coordinates/ completes projects, follows standards, and provides information services. The Web-based Server/ Client (HTML, CGI, Java scripts) modules for data access (CORBA, COM, ODBC legacy), information sharing/navigation, directory/security management, communication/ collaboration, Internet E-mail, and the DoD contracting offices procurement EDI. The Hub processes are: handling or-dered parts, pass-thru for funds/samples, value-added orders (QA/ QML)/ technical data package (TDP), organic (MOU) and commercial (IDIQ) teaming, team capability/ cost selection.
The hierarchy of VE-VPSB-Tech Hub concept corresponds to Internet-extranet-intranet architecture. The architecture has a universal user interface, a common link via a Web browser with a secure, gauge-able intrusion in the partners IT infrastructure, and Java expandability. The VE-Internet is mainly for informa-tion dissemination, global communication, and approved registration. The VPSB-extranet is a WAN for partners to collaborate in the procurement chain. The Hub-intranet is a set of LAN workgroups to com-plete transactions by workflow, tracking, solution library, decision support, service bureau directory, pro-gram/ data/ network management, technology forecasting, and content creation for the Web site. The site, registered as .net, .com or .org, has a public access for browsing VE information and a registration/ approval workspace for collaborating partners. It uses either COTS or GOTS business applications for:
Ø Contact/Messaging Management (Calendaring, Scheduling, Customer Tracking)
Ø Workflow Automation
Ø Project Collaboration (Solution Library, Discussion, Project Management)
Ø Public Web Site/ Information Sharing (Home Page, Registration, Remote Site Maintenance).
Ø EC (Partners Directory, Order Management, TDP Capture/ Generation, RFQ/ Bid Responses Post-ings)
