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Francois Bergeron

Conference Detail for Industrial and Commercial Applications of Smart Structures Techno... - 0 views

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    "Three-axis distributed fiber optic strain measurement in 3D woven composite structures   Paper 8690-6 Time: 1:50 PM - 2:10 PM Author(s): Matt Castellucci, Evan M. Lally, Sandra Klute, Luna Innovations Inc. (United States); David Lowry, NASA Johnson Space Ctr. (United States) Hide Abstract Add to My Schedule  Recent advancements in composite materials technologies have broken further from traditional designs and require advanced instrumentation and analysis capabilities. Success or failure is highly dependent on design analysis and manufacturing processes. By monitoring smart structures throughout manufacturing and service life, residual and operational stresses can be assessed and structural damage identified. Composite smart structures can be manufactured by integrating fiber optic sensors into existing composite materials processes such as layup, filament winding and three-dimensional weaving. In this work optical fiber was integrated into 3D woven composite parts at a commercial woven products manufacturing facility. The fiber was then used to monitor the structures during a VARTM manufacturing process, and subsequent static and dynamic testing. Low cost telecommunications-grade optical fiber acts as the sensor using a high resolution commercial Optical Frequency Domain Reflectometer (OFDR) system providing distributed strain measurement at spatial resolutions as low as 2mm. Strain measurements using the optical fiber sensors are correlated to resistive strain gauge measurements during static structural loading."
Tiberius Brastaviceanu

Decision making - Wikipedia, the free encyclopedia - 1 views

  • mental processes
  • examine individual decisions in the context of a set of needs, preferences an individual has and values they seek.
  • psychological perspective
  • ...59 more annotations...
  • cognitive perspective
  • continuous process integrated in the interaction with the environment
  • normative perspective
  • logic of decision making
  • and rationality
  • decision making is a reasoning or emotional process which can be rational or irrational, can be based on explicit assumptions or tacit assumptions.
  • Logical decision making
  • making informed decisions
  • recognition primed decision approach
  • without weighing alternatives
  • integrated uncertainty into the decision making process
  • A major part of decision making involves the analysis of a finite set of alternatives described in terms of some evaluative criteria.
  • multi-criteria decision analysis (MCDA) also known as multi-criteria decision making (MCDM).
  • differentiate between problem analysis and decision making
  • Problem analysis must be done first, then the information gathered in that process may be used towards decision making.[4]
  • decision making techniques people use in everyday life
  • Pros and Cons
  • Simple Prioritization:
  • Decision-Making Stages
  • Orientation stage
  • Conflict stage
  • Emergence stage
  • Reinforcement stage
  • Decision-Making Steps
  • Outline your goal and outcome
  • Gather data
  • Brainstorm to develop alternatives
  • List pros and cons of each alternative
  • Make the decision
  • take action
  • Learn from, and reflect on the decision making
  • Cognitive and personal biases
  • Selective search for evidence
  • Premature termination of search for evidence
  • Inertia
  • Selective perception
  • Wishful thinking or optimism bias
  • Choice-supportive bias
  • Recency
  • Repetition bias
  • Anchoring and adjustment
  • Group think – Peer pressure
  • Source credibility bias
  • Incremental decision making and escalating commitment
  • Attribution asymmetry
  • Role fulfillment
  • Underestimating uncertainty and the illusion of control
  • a person's decision making process depends to a significant degree on their cognitive style
  • thinking and feeling; extroversion and introversion; judgment and perception; and sensing and intuition.
  • someone who scored near the thinking, extroversion, sensing, and judgment
  • would tend to have a logical, analytical, objective, critical, and empirical decision making style.
  • national or cross-cultural differences
  • distinctive national style of decision making
  • human decision-making is limited by available information, available time, and the information-processing ability of the mind.
  • two cognitive styles: maximizers
  • satisficers
    • Tiberius Brastaviceanu
       
      I think we are at the CONFLICT stage at this moment
    • Tiberius Brastaviceanu
       
      These are the steps we need to go through to make a decision of the 4 items proposed by Ivan
    • Tiberius Brastaviceanu
       
      This is also interesting, where are you on these 4 dimensions? 
Tiberius Brastaviceanu

Value network - Wikipedia - 0 views

  • a business analysis perspective
  • describes
  • resources within and between businesses
  • ...38 more annotations...
  • nodes in a value network represent people
  • nodes are connected by interactions that represent tangible and intangible deliverables
  • Value networks exhibit interdependence
  • Companies have both internal and external value networks.[1]
  • customers or recipients, intermediaries, stakeholders, complementary, open innovation networks and suppliers
  • key activities
  • processes and relationships that cut across internal boundaries
  • Value is created through exchange and the relationships between roles
  • F&S's value networks consists of these components
  • customers
  • Some service the customers all use, and enables interaction between the customers
  • service
  • contracts that enables access to the service
  • the network formed by phone users
  • example
  • example
  • car insurance company
  • how a company understands itself
  • value creation process
  • value creating system
  • all stakeholders co-produce value
  • systematic social innovation
  • strategy as
  • the Value Network to emerge as a mental model
  • Verna Allee defines value networks [5] as any web of relationships that generates both tangible and intangible value through complex dynamic exchanges between two or more individuals, groups or organizations. Any organization or group of organizations engaged in both tangible and intangible exchanges can be viewed as a value network, whether private industry, government or public sector.
  • Allee developed Value network analysis, a whole systems mapping and analysis approach to understanding tangible and intangible value creation among participants in an enterprise system
  • participants, transactions and tangible and intangible deliverables that together form a value network.
  • knowledge
  • benefits
  • favors
  • know-how
  • policy
  • planning
  • process
  • biological organisms, including humans, function in a self-organizing mode internally and externally
  • no central “boss” to control this dynamic activity
  • The purpose of value networks is to create the most benefit for the people involved in the network (5)
    • Tiberius Brastaviceanu
       
      Verna starts with relationships. I think this is wrong. Perceived value and how to get  to it determines the type of relationships we forge with other people with whom we robe shoulders.  
Kurt Laitner

Why Crowdfunding Changes Everything Part 1 | unreasonable.is - 3 views

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    Interesting analysis
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    Part 2 is also out.
Kurt Laitner

Google Open Source Blog: Learning the meaning behind words - 0 views

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    I have mentioned in the past Dr Fantoni's work on word vector analysis to create a value chain post facto. Not sure if this technology will allow the same but is in the same area (NLP) and unlike Dr Fantoni's work, is open source.
Kurt Laitner

Stanford scientists put free text-analysis tool on the web | Engineering - 1 views

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    Perhaps useful tool
sebastianklemm

Food Security Information Network (FSIN) - 1 views

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    FSIN is a technical platform for exchanging expertise and best practices on food security and nutrition analysis. It promotes independent and consensus-based information and highlights critical data gaps. The result of a consultative process between government institutions and development partners interested in a new vision for country-led food security information systems, FSIN continues providing support at country and regional level. Demand-driven and flexible, it remains adaptable to changing contexts and evolving needs. Today, FSIN's work spans the effort of 16 global and regional partners committed to improving availability and quality of food security and nutrition analysis for better decision-making. It also facilitates the Global Network Against Food Crises's first pillar which is centered on better understanding global food crises.
Kurt Laitner

http://socnetv.sourceforge.net/docs/intro.html - 0 views

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    useful?
Kurt Laitner

Uber, Data Darwinism and the future of work - Tech News and Analysis - 0 views

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    also see http://www.baen.com/chapters/W200011/0671319744___1.htm on this theme of absolute accountability
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    something to keep in mind while designing value equations, understanding the impact of absolute accountability, and the need to ensure we are measuring wht matters as important decisions will be made based on the metric, whether or not the metric is being used properly in context (for example using klout scores to choose among candidates for an engineering job)
Tiberius Brastaviceanu

Mobile fab lab - SWOT analysis - Google Sheets - 0 views

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