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LiveDesign Security Engineering

LiveDesign Security Engineering. by Gautam Dasgupta, Professor, Civil Engineering Columbia University, New York, NY 10027, USA Tel:212-854-3102;fax:212-854-6267; email:gd18@columbia.edu url:www.columbia.edu/~gd18. Keywords: Intelligent infrastructure, extreme events,

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LiveDesign Security Engineering

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  1. LiveDesignSecurity Engineering by Gautam Dasgupta, Professor, Civil Engineering Columbia University, New York, NY 10027, USA Tel:212-854-3102;fax:212-854-6267; email:gd18@columbia.edu url:www.columbia.edu/~gd18 Keywords: Intelligent infrastructure, extreme events, sensing and broadcast

  2. Design vs. LiveDesign • Conventional design/construction: • 1. stresses • 2. costs • LiveDesign • a. mitigating disasters • b. detects imminent threats and breach of security • c. optimize human decision and performance

  3. IT based LiveDesign • LiveDesign prototypes : • I) alert civic authorities for manmade disasters • II) suggest best evacuation/rescue strategies • III) broadcast most favorable routes

  4. Statistical decision in LiveDesign • Optimized decision process • 1. high speed large scale computing • 2. distributed computation • 3. Statistics for extremevents • Knowledge updating is almost instantaneous • Hence the name LiveDesign.

  5. LiveDesign Research • 1. Background work from 2001 • (a) engineers • (b) architects • (c) computer scientists • (d) lawyers • 2. LiveDesign core methodology • 3. Randomly selected office building models • 4. Seamless open environment • 5. Intelligent civil infrastructures (versatile) • (a) building, roads, bridges • (b) watersheds • (c) energy systems

  6. Three principal parts of LiveDesign • 1. Intelligent information acquisition • 2. Statistical combination of indicators • to construct threat scenarios • 3. Virtual reality-based smart signs : • a. evacuation • b. rescue

  7. Quantitative and Qualitative Information in LiveDesign • Combine: • Structural stress analysis: response history • 2. Regulations (such as Building Codes) • 3. Legal requirements • 4. On-line sensor readings

  8. Fuzzy logic in LiveDesign • 1. Predicts threat from • statistical combination 2. Statistical optimization for the worst fatal state in space and time • 3. Calculations with confidence levels

  9. LiveDesignDataBase • 1. Dynamic searches • 1-a. signal fatal events • 1-b. check tight bounds for credible threats • 2. sort out false alarms • 2-a. continuously fine-tune a self-learning process • 3. discover yet to be identified extreme events

  10. LiveDesign

  11. LiveDesignNetwork • Security costs depend nonlinearly on the associated payoff • 2. All indices can be assessed • only in the probabilistic sense • 3. Computer Algebra calculation: • (a) use joint probabilities • (b) uses graphical communication language • (c) use causality • 4. Current modeling procedure is written in Mathematica • 5. Mathematical basis is the graph theory

  12. Elements of the network • 1. The network formulation starts with elementary subsystems • 2. Modelica can create complex systems using the formal specifications of • the links in the LiveDesign database • 3. Benchmark examples have been verified using Mathematica:

  13. Large number of variables • Conveniently programmed in Mathematica.

  14. Many Extreme Values

  15. Chemistry and biology provides good analogies:experiments and theory go together in the ‘organic form of design.’ • There may be more than a single answer 2. Several outcomes possible with different probabilities 3. The fuzzy logic concepts give optimized answer

  16. LiveDesignrepresentation conept • 1. Architects create the LiveBluePrint • 2. A collection of its various parts, and then assembled. • 3. Modern buildings are more complicated: • (a) there are additional subsystems • (b) such as power, water, elevators • (c) and above all a security infrastructure

  17. Intelligent Infrastructureby LiveDesign • Smart structures respond to their surroundings Safety: Thermo-mechanical inputs • 2. Intelligent infrastructures • (a) Security (Safety concerns as subsets) • (c) Management/Government policy and laws • 3. Information based technology • (a) Integration of quantitative and qualitative data • (b) Computer understandable . representation/communications

  18. The LiveDesign Team • 1. Universities • (a) Columbia University • (b) MIT • (c) Carnegie Mellon University • (d) University of Maine • 2. Industries • (a) OKG Constructions, NYC • (b) Contour Graphics Architects, NYC • (c) Serby Attorneys, NYC • 3. Foreign collaborators • (a) Kagawa University, Japan • (b) Tokyo Metropolitan University, Japan • (c) Paris & Besancon, France; AIT Thailand,

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