Intervention Mapping was developed to address questions about how and when to use...
Theory
Empirical findings from the literature
Data collected from a population
... to create an effective behavior or systems change intervention.
Intervention Mapping provides a systematic framework for decision making at each step of intervention planning, and evaluation
Engineering Design is a decision making process (often iterative or recursive) in which the sciences are applied to modify/create something to meet predefined objectives (specifications). Basic stages of the design process include establishment of objectives and criteria, analysis, synthesis, definition of actual manufacturing techniques and routes as well as the modes of usage, maintenance and disposal.
Hpe program rating #4 human factors engineeringPMHaas
Series of six rating sheets to provide a high-level, subjective evaluation of the design of various elements of a Human Performance Engineering Program. Sheet #4 is for the Human Factors Engineering program.
The simple presentation on the topic life cycle analysis,
- definition
- Stages of LCA
- Goal and Purpose of LCA
- types of LCA
- Phases of LCA
- Advantages and Disadvantages of LCA
-Conclusion
Life Cycle Thinking - A Design Mindset
Timothy Allan
The first in a series of three articles on life cycle thinking and how it can work in a commercial environment.
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Intervention Mapping was developed to address questions about how and when to use...
Theory
Empirical findings from the literature
Data collected from a population
... to create an effective behavior or systems change intervention.
Intervention Mapping provides a systematic framework for decision making at each step of intervention planning, and evaluation
Engineering Design is a decision making process (often iterative or recursive) in which the sciences are applied to modify/create something to meet predefined objectives (specifications). Basic stages of the design process include establishment of objectives and criteria, analysis, synthesis, definition of actual manufacturing techniques and routes as well as the modes of usage, maintenance and disposal.
Hpe program rating #4 human factors engineeringPMHaas
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- definition
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- Goal and Purpose of LCA
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- Advantages and Disadvantages of LCA
-Conclusion
Life Cycle Thinking - A Design Mindset
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The first in a series of three articles on life cycle thinking and how it can work in a commercial environment.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Fundamentals of Electric Drives and its applications.pptx
autodesk-slides-sustworkshop_wslc_lifecycle.ppt
1. Whole Systems &
Life-Cycle Thinking
for
Sustainable Design
Sustainability
Workshop
autodesk.com/sustainabilityworkshop
2. Lifecycle Thinking is a way of thinking
about all of the stages involved in a
product’s life: raw materials extraction,
manufacture, transport, use, and disposal.
Lifecycle Assessment is a way of quantifying the
environmental impacts that occur at each stage.
Whole Systems Thinking is a way of thinking
about the related social, environmental, and
technical systems that a product is a part of.
For example, how is the product used, who manufactures it,
what other products are used with it?
10. • What parts and sub-systems make up the
product?
• How do those parts connect?
• When & why does the user use it?
• What other things are always used with
it?
• How are the product, the user, and other
components of the system connected?
• What kinds of environmental impacts
occur where?
27. Factor Ten Design Principles
Principle 1. Collaborate across disciplines
Principle 2. Develop multiple design iterations
Principle 3. Define shared and aggressive goals
Principle 4. Adjust incentives
Principle 5. Define the service provided
Principle 6. Establish the theoretical minimum end-use
Principle 7. Identify and communicate all possible benefits
Principle 8. Start with a clean sheet
Principle 9. Use real data
Principle 10. Start downstream
Principle 11. Design for radical simplicity
Principle 12. Tunnel through the cost barrier
Principle 13. Base design on oscillating demand
Principle 14. Functionally integrate components
Principle 15. Include feedback in the design
Principle 16. Address Systemic Causes
Our system really has 2 products in it: dryer & washing machine
What all goes into those products?
What all goes into those products?
What all goes into those products?
Life-Cycle Thinking
LCA or similar quantitative tool to measure impacts of the stages identified in step 1
The top two pictures are screen shots showing what it looks like to enter data into LCA programs (SimaPro and SustainableMinds, respectively).
The bottom two pictures are screen shots showing what it looks like to get results from LCA programs (SimaPro and SustainableMinds, respectively. The graphs are not for the same product.)
Be aware that LCA data is not very precise—you can usually assume around 10% margin of error, so differences should be roughly 20% or greater before you consider them important.
Where are the biggest impacts? What impacts can you control?
Back to whole systems thinking
What’s the best strategy to use?
Whole-systems thinking means looking at all the different parts of the system and how they relate to each other. What’s inside the black boxes?
This is the same exact diagram as before, just redrawn to look linear, and with transition points colored blue.
Brainstorm different ways to get from one transition point to the next
- how far up the system can you go? (How many steps can you skip?)
- Here, the highest up would be skipping all steps, having clothes never get dirty. Could you do that? How?
Back to Life-cycle Thinking
Estimate life-cycle impacts of all major design options, and see how much they improve performance.
These are screen shots showing scenario comparisons in two LCA programs (SimaPro and SustainableMinds, respectively. The graphs are not for the same product.)
Be aware that LCA data is not very precise—you can usually assume around 10% margin of error, so differences should be roughly 20% or greater before you consider them important.
Options B & C are close enough to original, within error margins.
Eliminate all but the best the design options, or at least all the options that don’t improve performance enough to meet your metrics. Remember to balance with other metrics like cost.
Use whole systems to expand or deepen your definition of the problem
Use life-cycle thinking to measure the problem, and set priorities to fix it
Use whole systems thinking to ideate solutions
Use life-cycle thinking to rank which solutions are best