What is the difference between Proto-people, Data-driven, Lean Persona and Ad hoc People?

So I am a little confused among these 4 types of people that I have discovered in books and articles.

  1. Protopersone
  2. Add Hoc Person
  3. Data driven person
  4. Read Person

What are the differences between them?
And what is the process to create each one?

Thanks in advance,

opening: time difference between automatic mode and other modes

I can only guess.

When in fully automatic mode, the camera will use the 3 parts of the exposure triangle to end with a decent amount of depth of field, a shutter speed that is fine for shooting in the hand with the lens attached and will be completed with a larger I like that.

When you switch to this aperture mode, it will allow you to choose the aperture manually and control the shutter speed. BUT it can also allow you to set the ISO manually.

So if you're inside and you shoot him ISO auto, 1/25, f/4.0 and if ISO were at 25600, then the equivalent would be ISO 100, 10 seconds, f4.0.

The only thing that makes no sense is that the camera has no such ISO capabilities. It only varies from 100 to 3200.

So, what I think is that the following happens:
It is set to an ISO under manual as 100, which triggers a slow shutter speed. This activates the noise reduction that then reprocesses the image and this results in the long time it perceives.

Manual quote:

• While noise reduction is activated, it takes approximately twice as usual
Time to take a picture.
• Card access light flashes and is displayed (busy)
in the viewfinder while noise reduction is working. You can't take
more photos until the card access light goes out.

If the perceived "delay" is always 10 seconds, there is also an option to reduce the impact of the shutter. This adds a delay after the mirror is turned up to avoid the impact of the shutter when longer exposures are used. The option is called anti-shock in the camera Please also check that it is turned off or in 0 seconds.

Quote:

ANTI-SHOCK You can select the interval from the moment the mirror is
raised until the shutter opens for 1 to 30 seconds. Is
Camera movement caused by vibrations decreases when the mirror is moved.
This feature can be useful in astrophotography and microscope.
photography or other photographic situations where a very slow shutter
Speed ​​is used and camera vibration should be kept to a minimum.
Notes • The anti-shock is added to the shooting functions individually
(single-frame shooting, sequential shooting, self-timer shooting and
remote control shooting). “Sequential photography” (P. 61)

Difference between Build Pipeline and Deployment Pipeline

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magento 1.9 – Difference between INDEX_TYPE_INDEX and INDEX_TYPE_UNIQUE

When adding the index, it is not necessary for the column values ​​to be different.
So, in that case, what is the Varien_Db_Adapter_Interface that is used in the ->addIndex() function.

Also, what is the exact difference between INDEX_TYPE_INDEX Y INDEX_TYPE_UNIQUE since there is no documentation on it.

diffuse linear advection equation by finite difference methods

I need to write a code to solve the advection equation in a D, I needed unique parametric. How can I do that using finite difference methods like upwind and leapfrog?

ux field – UX vs Product design, what's the difference?

Trends …

There has been a positive overall trend in the last 15 years to designers to take on a growing reach of responsibilities within the product development process

15 years ago, in the "Microsoft" era of formal software development, human-computer interaction, visual design or information architecture were specific disciplines in design, and the products were delivered to specialists in these disciplines at formal points in the development process.

Since then, the trend has been get away from specializations and allow designers to influence and direct increasingly wide-ranging circles in the development process. This has resulted in broader disciplines such as the UX design, as the following diagram shows:

(click to enlarge)
designer roles

Some drivers of this trend:

  • The promulgation of design thinking as a paradigm for the integral development of products, not just the "design phase" work.
  • The incredible success of design-led companies such as Apple, Dyson, Nest and others, which has shown the business world how successful design-based development can be.
  • The flattening of the development process by frameworks such as Agile and Lean, which leads designers and other team members to work more functionally with broader areas of responsibility.
  • …and so.

Product design …

… is just another term, but it is also an almost predictable evolution / variant of the user experience. It represents the next extension of the design scope, far from the design of the user experience towards an even broader design mandate for a complete product.

This may include some or all of the bubbles in the previous diagram: a product designer can work not only on creating a user experience, but also on functional ergonomics, technical design, marketing approach, etc.

Keep in mind that these terms are blurred, but confusion does not mean that the term makes no sense. When it is understood in the context of how a term evolves, it is easier to understand why it is being used and what it is intended to communicate and differentiate.

Companies will use the term & # 39; Product designer & # 39; differently, but keep in mind that:

  • Something blurry in the definition does not make a word unusable or useless (think about how confusing the meaning of the word is F**k It really is, but it's still very useful =). The term & # 39; Product designer & # 39; It has value because it communicates a differentiated scope of design responsibility.

  • Even if a Product Designer does not have a broad scope of responsibilities for a particular company, the use of the term can still be valuable for the company because it can communicate a commitment or an aspiration to product development led by design.

I hope that helps.

Difference between csrf and csrfkey

I found these two parameters in the Http header called csrf and csrfkey. Can anyone define the difference between them?

What is the difference between object storage, block storage and cold storage in cloud computing

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  1. What is the difference between object storage, block storage and cold storage in cloud computing

    Hi, does anyone know what is the main difference between object storage, block storage and cold storage in cloud computing? Are there any examples? Thank you


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divide and conquer – Median of the difference matrix

Given a set of $ A = (a_i) $ with $ n $ elements, find the median of the
matrix (dummy) $ B = (b_ {ij}) $, where $ b_ {ij} = | a_i-a_j | $.

The obvious solution would be to use a deterministic algorithm of linear medium time search in the construction of matrix B, which would give us a complexity of $ O (n ^ 2) $. Is there any way (probably some divide and conquer approach along with the finding of the median linear time) that we could obtain a temporal complexity of $ O (n log n) $?

Statistics – Formula for weighted average difference

In my application I have instances where $ m_1 ge1, m_2 ge1 $ the models have produced activity values ​​respectively (after some other calculations) $ a_1, a_2 in (0,1) $ ($ 0 $ medium inactive, $ 1 $ is totally activated) the $ m_1 $ the models represent the good ones and the $ m_2 $ the bad some so to speak. I always take the difference: $$ d = a_1-a_2 in (-1,1) $$ where values ​​closest to $ -1 $ indicate that the good In general, the models are more deactivated than the bad those of that grouping ($ m_1 $ vs $ m_2 $ models), values ​​closer to $ d = 1 $ indicate that they are more activated and values ​​closer to $ 0 $ indicates that there is no activation difference between the two groups of models.

That works fine, but I wanted take into account the number of models $ m_1, m_2 $ to counteract the bias which is being introduced as you can see in the following example: $ a_1 = 0.9, a_2 = 0.1, d = 0.8 $, with $ m_1 = 5, m_2 = $ 1000. I would like to have a smaller difference than $ 0.8 $, from the $ m_1 << m_2 $. So, I did the weighted average (type of) as: $$ d_ {w} = frac {m_1a_1-m_2a_2} {m_1 + m_2} $$
The problem is that the penalty is now too large, p. For the previous example, $ d_w = -0.095 $, which is wrong since I would never expect it to be less than zero in this case.

So I want reduce the penalty making the numbers smaller and smaller Come closerand what is better than using $ log_ {10} $ do exactly that: $$ d_ {lw} = frac {log (m_1) a_1-log (m_2) a_2} {log (m_1) + log (m_2)} $$

Now, the previous example produces $ d_ {lw} = $ 0.0889Much more sensible! the good the models are more active, but since I just arrived $ 5 $ of them vs $ 1000 $ bad some, the estimation of the activity difference is penalized.

by $ m_1 = $ 1.2 model the $ d_ {lw} $ The result is negative in the example! And if we put $ m_1 = m_2 $ I would expect the result to be equal to the original difference $ d_ {lw} = d $, but it is not 🙁 I tried to duplicate the last difference: $ d_2 = 2 * d_ {lw} $ that solved this, but now of course $ d_2 in (-2.2) $ i don't want

I'm looking for a difference function $ f (m_1, m_2, a_1, a_2) in (1,1) $, for which the following properties are true:

  • $ f (m, m, a_1, a_2) = a_1-a_2 = d $
  • $ lim_ {m_1 << m_2} f (m_1, m_2, a_1, a_2) = 0 $, (as in the previous example). The same if m_1 >> m_2.
  • The transition of the $ m_1 = m_2 $ Extreme cases (where model numbers differ too much) should be not steep – I don't know how to express this in a single word, but what I mean is that if you think the model number is starting to change from equality $ m_1 = m_2 $ the $ d $ the difference should be difficult to change and only near the ends should we begin to see a notable difference … I have also called this last property the Montana (it would be interesting to see what it means in mathematical terms) since equality is like the top of the mountain and to the right and to the left are the slopes (which in my case I want them to be passable – that is, not steep).
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