The document discusses the history and use of grids in design. It begins by outlining the constraints of the design problem, including a screen resolution of 1024x768 and incorporating common ad unit sizes like the Big Ad. Various grid options are explored and a 12-unit grid with units of 62px is selected. Elements like headers, navigation, and content areas are placed on the grid. The document shows how following box model principles and allowing padding around elements achieves visual consistency. Overall the document provides an example of thoughtfully designing a grid structure based on constraints and using the grid to lay out page elements.
The document discusses the use of grids in design. It provides a brief history of grids from early ornamental designs to modern rational designs influenced by machines and standardization. The document then discusses how to build a grid for a specific design problem involving a 1024x768 screen size and big advertisement units. It demonstrates going through multiple attempts to define an appropriate grid, including rounding advertisement column widths, extrapolating unit sizes, and consolidating units into columns. The optimal solution presented uses a 14-unit grid with 62 pixel units to allow for flexible layout of content while accommodating advertisements.
This document summarizes the key points in a presentation about using grids in web design. It discusses how grids can provide order and structure, traces the historical use and rationale for grids, and provides examples of applying grids to layout web pages. Specific tips are given, such as using a multiple of 3 or 4 units, allowing for padding in element boxes, and treating rules between elements similarly to borders. The document demonstrates creating a grid structure and dividing a page into regions like headers, navigation, content areas, and sidebars.
This document summarizes the terrain rendering techniques used in the MMO action real-time strategy game Kingdom Under Fire II. It discusses using geometry clipmaps to render large terrains with high detail while maintaining performance. It also describes using texture clipmaps to allow high resolution texturing across large areas. Layer blending is used to combine texture tiles, with improvements like using indexed layers and filtering in the pixel shader. Storage and streaming techniques keep terrain data efficiently organized and loaded as needed.
This document summarizes the technology used in the DirectX 11 Unreal Engine "Samaritan" demo shown at Game Developer Conference 2011. Key techniques discussed include tessellation, rendering of hair using alpha to coverage, deferred rendering with multi-sample anti-aliasing, subsurface scattering for skin, image-based reflections using billboards, and depth of field with realistic bokeh shapes. The goals of the demo were to showcase new engine capabilities, demonstrate real-time rendering of next-gen visual quality, and research new hardware features and rendering techniques.
This document summarizes a presentation about using grids in web design. It discusses the history of grids in graphic design and their continued relevance today. The presentation walks through designing a grid for a sample website, considering screen size, ad placements, column structure, and unit sizes. Elements like navigation, search, and content areas are designed within the grid framework. The document suggests treating all elements similarly according to the box model for visual consistency. Overall it promotes the use of grids to bring order and standardization to web design.
Convolutional neural networks (CNNs) are a type of neural network used for image recognition tasks. CNNs use convolutional layers that apply filters to input images to extract features, followed by pooling layers that reduce the dimensionality. The extracted features are then fed into fully connected layers for classification. CNNs are inspired by biological processes and are well-suited for computer vision tasks like image classification, detection, and segmentation.
Marketing· Product or Service · If product Product, Price, P.docxinfantsuk
Marketing
· Product or Service?
· If product: Product, Price, Place, Promotion (Consider whether consumer/industrial goods, durability of product,…)
· At what stage of the product life cycle is this market? Are we dealing with a new product category or a mature and well-established one?
· If service: what is the process of delivery? What are the qualifications of the service staff (in direct contact with customers)?
· How large is the market for the product/service? Is it growing or shrinking?
· What are the major forces influencing demand for this product/service?
· Is demand of product/service consistent over time? Does the demand fluctuate sharply or in response to temporal or cyclical factors?
· Can the organization satisfy the demand in the market?
· Who are the competitors serving this market and what are their market shares? How and why have these shares been changing over time?
· Are customers loyal to your product/brand?
· How is the market for this product/service segmented?
· What are the demographic characteristics of customers and potential customers in this market? Consider customer’s willingness to pay.
· Are there any major customer needs or wants which are not currently being satisfied?
· Is it difficult for customers to switch from your product to competitor’s products?
· How closely does the product/service match the need of the market?
· How well do the activities of the organization drive demand?
· How well do the activities of the organization ensure that the product/service is available to the customer at the moment and location of need?
· How would you rate the after-sales service and/or warranty services of the organization?
Collaborators and External Relationships:
· What types of relationships exist? Duration? For what services?
· Whose strengths best complement those of the organization?
· How will each partner benefit from a strategic alliance?
· What are the risks & rewards of collaboration?
Grid System Analysis
Design Grids are Not
Mathematical Grids
They have gutters, and
type fits in perfectly
against all the edges
They act as a tool to
divide images and words
in a satisfying way
This confuses a lot of
people a lot of the time.
This zine was made to
help you make design
grids and to give you the
resources to delve further
into the grid world.
written by
Andrew Maher
This process is necessary whenever creating a grid, as
it gives us the divisions on the page which we have to
follow if we want the grid to look really tight. You’re
going to have to trust me because you won’t see this
until a little further on down the track.
So we’re going to define how wide our text columns
are. Again think first about what it’s going to be used
for, if this were a book or a magazine, you want to give
the reader enough room on the outside of the page to
stick his or her thumbs on. But don’t forget the inside
of the page either, as they arch up more and more a ...
This assignment asks students to take the model they created in Assignment 1 and modify it to create a "pavilion module" or vaulted structure that can be replicated in a 3x3 grid to form a pavilion structure between a floor and ceiling surface using Rhino's Paneling Tools. Students are to trim their original model to create columns, extract surfaces, and ensure bilateral symmetry. They will then design floor and ceiling surfaces with matching UVW directions before using the Paneling Tools to populate their pavilion module in a 3x3 grid between the surfaces and joining it into a single polysurface. The assignment will be graded based on various criteria including file organization, module creation, surface matching, and correct panel population and alignment.
The document discusses the use of grids in design. It provides a brief history of grids from early ornamental designs to modern rational designs influenced by machines and standardization. The document then discusses how to build a grid for a specific design problem involving a 1024x768 screen size and big advertisement units. It demonstrates going through multiple attempts to define an appropriate grid, including rounding advertisement column widths, extrapolating unit sizes, and consolidating units into columns. The optimal solution presented uses a 14-unit grid with 62 pixel units to allow for flexible layout of content while accommodating advertisements.
This document summarizes the key points in a presentation about using grids in web design. It discusses how grids can provide order and structure, traces the historical use and rationale for grids, and provides examples of applying grids to layout web pages. Specific tips are given, such as using a multiple of 3 or 4 units, allowing for padding in element boxes, and treating rules between elements similarly to borders. The document demonstrates creating a grid structure and dividing a page into regions like headers, navigation, content areas, and sidebars.
This document summarizes the terrain rendering techniques used in the MMO action real-time strategy game Kingdom Under Fire II. It discusses using geometry clipmaps to render large terrains with high detail while maintaining performance. It also describes using texture clipmaps to allow high resolution texturing across large areas. Layer blending is used to combine texture tiles, with improvements like using indexed layers and filtering in the pixel shader. Storage and streaming techniques keep terrain data efficiently organized and loaded as needed.
This document summarizes the technology used in the DirectX 11 Unreal Engine "Samaritan" demo shown at Game Developer Conference 2011. Key techniques discussed include tessellation, rendering of hair using alpha to coverage, deferred rendering with multi-sample anti-aliasing, subsurface scattering for skin, image-based reflections using billboards, and depth of field with realistic bokeh shapes. The goals of the demo were to showcase new engine capabilities, demonstrate real-time rendering of next-gen visual quality, and research new hardware features and rendering techniques.
This document summarizes a presentation about using grids in web design. It discusses the history of grids in graphic design and their continued relevance today. The presentation walks through designing a grid for a sample website, considering screen size, ad placements, column structure, and unit sizes. Elements like navigation, search, and content areas are designed within the grid framework. The document suggests treating all elements similarly according to the box model for visual consistency. Overall it promotes the use of grids to bring order and standardization to web design.
Convolutional neural networks (CNNs) are a type of neural network used for image recognition tasks. CNNs use convolutional layers that apply filters to input images to extract features, followed by pooling layers that reduce the dimensionality. The extracted features are then fed into fully connected layers for classification. CNNs are inspired by biological processes and are well-suited for computer vision tasks like image classification, detection, and segmentation.
Marketing· Product or Service · If product Product, Price, P.docxinfantsuk
Marketing
· Product or Service?
· If product: Product, Price, Place, Promotion (Consider whether consumer/industrial goods, durability of product,…)
· At what stage of the product life cycle is this market? Are we dealing with a new product category or a mature and well-established one?
· If service: what is the process of delivery? What are the qualifications of the service staff (in direct contact with customers)?
· How large is the market for the product/service? Is it growing or shrinking?
· What are the major forces influencing demand for this product/service?
· Is demand of product/service consistent over time? Does the demand fluctuate sharply or in response to temporal or cyclical factors?
· Can the organization satisfy the demand in the market?
· Who are the competitors serving this market and what are their market shares? How and why have these shares been changing over time?
· Are customers loyal to your product/brand?
· How is the market for this product/service segmented?
· What are the demographic characteristics of customers and potential customers in this market? Consider customer’s willingness to pay.
· Are there any major customer needs or wants which are not currently being satisfied?
· Is it difficult for customers to switch from your product to competitor’s products?
· How closely does the product/service match the need of the market?
· How well do the activities of the organization drive demand?
· How well do the activities of the organization ensure that the product/service is available to the customer at the moment and location of need?
· How would you rate the after-sales service and/or warranty services of the organization?
Collaborators and External Relationships:
· What types of relationships exist? Duration? For what services?
· Whose strengths best complement those of the organization?
· How will each partner benefit from a strategic alliance?
· What are the risks & rewards of collaboration?
Grid System Analysis
Design Grids are Not
Mathematical Grids
They have gutters, and
type fits in perfectly
against all the edges
They act as a tool to
divide images and words
in a satisfying way
This confuses a lot of
people a lot of the time.
This zine was made to
help you make design
grids and to give you the
resources to delve further
into the grid world.
written by
Andrew Maher
This process is necessary whenever creating a grid, as
it gives us the divisions on the page which we have to
follow if we want the grid to look really tight. You’re
going to have to trust me because you won’t see this
until a little further on down the track.
So we’re going to define how wide our text columns
are. Again think first about what it’s going to be used
for, if this were a book or a magazine, you want to give
the reader enough room on the outside of the page to
stick his or her thumbs on. But don’t forget the inside
of the page either, as they arch up more and more a ...
This assignment asks students to take the model they created in Assignment 1 and modify it to create a "pavilion module" or vaulted structure that can be replicated in a 3x3 grid to form a pavilion structure between a floor and ceiling surface using Rhino's Paneling Tools. Students are to trim their original model to create columns, extract surfaces, and ensure bilateral symmetry. They will then design floor and ceiling surfaces with matching UVW directions before using the Paneling Tools to populate their pavilion module in a 3x3 grid between the surfaces and joining it into a single polysurface. The assignment will be graded based on various criteria including file organization, module creation, surface matching, and correct panel population and alignment.
This document provides information about computer monitors, including their components and technologies. It defines key monitor specifications like resolution, pixel, and color depth. It describes common display standards and resolutions. It explains the technologies of cathode ray tubes (CRTs) and liquid crystal displays (LCDs), including how they work and their pros and cons. While CRTs were originally used, LCDs are now more common due to their lower power consumption and smaller size, though newer technologies like SED and OLED may replace them.
This presentation highlights findings from my work as a visualization designer. The seven principles are distilled pieces from projects I reviewed or worked on myself. I believe it's important to learn from every project as much as you can and share this experience with the community to grow collectively.
How to concatenate two (or more) subvolumes, measured with XCT, using ImageJJavier García Molleja
Guide for volume concatenation after X-Ray Computed Tomography reconstruction. This is one of multiple ways to make a concatenation for a volume at IMDEA Materials Institute (Getafe, Spain, 2018). ImageJ software is used.
1. Feature descriptors are needed to match features across images despite changes in scale, rotation, and appearance.
2. Effective descriptors encode properties like spatial layout and are invariant to transformations. The MOPS descriptor extracts image patches at multiple scales, filters for low frequencies, normalizes for bias and gain, and uses Haar wavelet responses.
3. The GIST descriptor divides images into spatial cells, applies a filter bank, and describes each cell using averaged filter responses. This encodes the rough spatial distribution of image gradients in a way that is invariant to transformations.
Want to make your own pixel art? Cory Martin will share everything you need to know to get started! Learn what differentiates pixel art from other art-forms; get familiar with the various techniques used by pixel artists; and discover the most common mistakes people make when starting out, and how to avoid them.
---
This was for a talk I gave for the Nashville Game Developers group on March 26th, 2018.
This document discusses designing user interfaces that span multiple devices with varying screen resolutions and sizes. It introduces MeeGo.Ux.Units, which allows specifying graphics and layout using physical units like millimeters instead of pixels to achieve density independence. Key techniques include using vector graphics, separating graphics from icons, generating assets for different densities, and following interaction best practices.
The document describes new features of embroidery software EOS 3 that make it more powerful and easy to use than previous versions. Key features highlighted include a customizable interface, ability to import/export vector files, new unified embroidery file format, automatic digitizing tools, large selection of stitch types, improved lettering tools, object-based editing tools, embroidery simulation, and machine networking capabilities.
This is a slide for Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes which is my work at Stanford AI Lab as a visiting scholar.
Special thanks to Christopher Choy and Prof. Silvio Savarese.
Github:
https://github.com/yunishi3/3D-FCR-alphaGAN
The document defines various CAD commands and terms. It provides definitions for chamfer, fillet, the differences between copy and move, offset and mirror, break, trim, and erase, scale and stretch, line and polyline, circle and arc, polar and absolute coordinates, mtext and dtext, zoom all and zoom window, grid and snap, rotate, stretch, wblock, block, explode, layer, ortho, array, donut, dimlinear, dimradius, polygon, and ddedit. It also describes types of zoom including extents, previous, vmax, window, scale x, zoom xp, and realtime zoom.
Goodbye Nightmare : Tops and Tricks for creating LayoutsLuc Bors
Luc Bors gave a presentation on creating complex layouts with Oracle ADF Faces. He discussed various layout containers like PanelFormLayout, PanelStretchLayout, PanelSplitter, panelAccordion, and PanelTabbedLayout. He emphasized the importance of using fewer layout containers, reducing the number of components that need to stretch, and working with colors to understand layout behavior. The presentation included tips on resources and best practices like using quick start layouts, avoiding nested scrolling, and benefiting from the PanelGridLayout component.
Luc Bors presented tips and tricks for creating complex layouts with Oracle ADF Faces at ODTUG KScope 2013 in New Orleans. He discussed using various layout containers like the panelFormLayout, panelStretchLayout, panelSplitter, panelAccordion, and panelTabbedLayout. He emphasized the importance of using colors to understand layout behavior and reducing the number of layout containers. The panelGridLayout was highlighted as an effective way to create grid-based layouts without needing spacers or separators. Examples were provided for creating common application layouts like an Outlook-style interface using these techniques.
Grids are guidelines used in page layout to help designers organize content. Grids can be simple or complex, with few or many columns and rows. Designers place text, photos, and graphics into grid units, leaving empty alleys between. Following the grid provides clean, ordered layouts. Designers can experiment by breaking grid rules to make layouts more creative while maintaining structure and flow.
Convolutional neural networks can be used for handwritten digit recognition. They employ replicated feature detectors with shared weights to achieve translation equivariance. Pooling layers provide some translation invariance while reducing the number of inputs to subsequent layers. The LeNet architecture developed by Yann LeCun used these techniques along with multiple hidden layers and achieved an error rate of around 1% on handwritten digit recognition. Dropout regularization helps convolutional neural networks generalize well when applied to large scale tasks like ImageNet classification by preventing complex co-adaptations between hidden units.
CS 177 – Project #1 Summer 2015 Due Date =========.docxfaithxdunce63732
CS 177 – Project #1
Summer 2015
Due Date:
==========
This project is due Thursday July 9th before 11:59pm.
This assignment is an individual project and should be completed on your own using only your own
personally written code. You will submit one (1) copy of the completed Python program to the
Project 1 assignment on Blackboard. The completed file will include your name, the name of the
project and a description of its functionality and purpose of in the comments header. The file should
be named ”Project-1.py”.
This project will be the foundation of future assignments this semester, so it is important that you
maximize your program’s functionality.
Problem Description: Simulating the Movements of Cells in a Microscope
==============================================================
In 2014 Virginia scientist Eric Betzig won a Nobel Prize for his research in microscope technology.
Since receiving the award, Betzig has improved the technology so that cell functions, growth and
even movements can now be seen in real time while minimizing the damage caused by prior
methods. This allows the direct study of living nerve cells forming synapses in the brain, cells
undergoing mitosis and internal cell functions like protein translation and mitochondrial movements.
Your assignment is to write a Python program that graphically simulates viewing cellular organisms,
as they might be observed using Betzig’s technology. These simulated cells will be shown in a
graphics window (representing the field of view through Betzig’s microscope) and must be
animated, exhibiting behaviors based on the “Project Specifications” below. The simulation will
terminate based on user input (a mouse click) and will include two (2) types of cells, Crete and
Laelaps, (pronounced KREET and LEE-laps).
Crete cells should be represented in this simulation as three (3) small green circles with a radius of
8 pixels. These cells move nonlinearly in steps of 1-4 graphics window pixels. This makes their
movement appear jerky and random. Crete cells cannot move outside the microscope slide, (the
‘field’), so they may bump along the borders or even wander out into the middle of the field at times.
These cells have the ability to pass “through” each other.
A single red circle with a radius of 16 pixels will represent a Laelaps cell in this simulation. Laelaps
cells move across the field straight lines, appearing to ‘bounce’ off the field boundaries. Laelaps
sometimes appear to pass through other cells, however this is an optical illusion as they are very
thin and tend to slide over or under the other cells in the field of view.
Project Specifications:
====================
Graphics Window
• 500 x 500 pixel window
• White background
• 0,0 (x,y) coordinate should be set to the lower left-hand corner
Crete Cells
• Three (3) green filled circles with radius of 8 pixels
• Move in random increments between -4 and 4 pixels p.
The document discusses different methods for representing 3D computer graphics objects, including:
1. Boundary representations and space partitioning representations describe how to model 3D objects. Boundary representations describe objects as surfaces separating the interior from the exterior, while space partitioning divides space into non-overlapping solids.
2. Binary space partitioning trees (BSP trees) are commonly used to organize 3D scenes by recursively subdividing space into half-spaces using splitting planes. BSP trees allow efficient rendering by only checking visible objects.
3. Other representations discussed include polygon meshes, quadric surfaces like spheres and ellipsoids, and spline curves and surfaces. Octrees are also mentioned as a common representation used in video
The document discusses magnetic tapes and their use for data storage. It describes how tapes provide sequential but not random access to data. It then compares different tape systems based on media format, loading method, storage capacity, track layout, and data transfer rates. An example of a high-performance tape system is provided. The document also discusses how data is organized and stored on tapes, including track layout, blocking, and estimating tape length and data transmission times.
Here are some potential arguments for different bin sizes in the revenue histogram example:
- One day bin size: Could show day-to-day fluctuations and identify specific high/low revenue days. However, 365 bins may be too granular and show random noise.
- One month bin size: Could identify seasonal trends across months while still showing monthly variations. 12 bins balances granularity and visibility.
- One quarter bin size: Would simplify the histogram but may hide important variations across months within each quarter. Only 4 bins may obscure seasonal patterns.
The appropriate bin size depends on whether the goal is to identify daily, monthly, or quarterly trends. Monthly binning (12 bins) seems best for capturing seasonal patterns in revenue
This document discusses the importance of concise writing and proper word choice. It provides examples of wordy and convoluted sentences and rewrites them to be more concise and understandable in 3 words or less. The document encourages writing in a friendly, clear style using everyday language to ensure the intended meaning is effectively communicated.
This document provides information about computer monitors, including their components and technologies. It defines key monitor specifications like resolution, pixel, and color depth. It describes common display standards and resolutions. It explains the technologies of cathode ray tubes (CRTs) and liquid crystal displays (LCDs), including how they work and their pros and cons. While CRTs were originally used, LCDs are now more common due to their lower power consumption and smaller size, though newer technologies like SED and OLED may replace them.
This presentation highlights findings from my work as a visualization designer. The seven principles are distilled pieces from projects I reviewed or worked on myself. I believe it's important to learn from every project as much as you can and share this experience with the community to grow collectively.
How to concatenate two (or more) subvolumes, measured with XCT, using ImageJJavier García Molleja
Guide for volume concatenation after X-Ray Computed Tomography reconstruction. This is one of multiple ways to make a concatenation for a volume at IMDEA Materials Institute (Getafe, Spain, 2018). ImageJ software is used.
1. Feature descriptors are needed to match features across images despite changes in scale, rotation, and appearance.
2. Effective descriptors encode properties like spatial layout and are invariant to transformations. The MOPS descriptor extracts image patches at multiple scales, filters for low frequencies, normalizes for bias and gain, and uses Haar wavelet responses.
3. The GIST descriptor divides images into spatial cells, applies a filter bank, and describes each cell using averaged filter responses. This encodes the rough spatial distribution of image gradients in a way that is invariant to transformations.
Want to make your own pixel art? Cory Martin will share everything you need to know to get started! Learn what differentiates pixel art from other art-forms; get familiar with the various techniques used by pixel artists; and discover the most common mistakes people make when starting out, and how to avoid them.
---
This was for a talk I gave for the Nashville Game Developers group on March 26th, 2018.
This document discusses designing user interfaces that span multiple devices with varying screen resolutions and sizes. It introduces MeeGo.Ux.Units, which allows specifying graphics and layout using physical units like millimeters instead of pixels to achieve density independence. Key techniques include using vector graphics, separating graphics from icons, generating assets for different densities, and following interaction best practices.
The document describes new features of embroidery software EOS 3 that make it more powerful and easy to use than previous versions. Key features highlighted include a customizable interface, ability to import/export vector files, new unified embroidery file format, automatic digitizing tools, large selection of stitch types, improved lettering tools, object-based editing tools, embroidery simulation, and machine networking capabilities.
This is a slide for Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes which is my work at Stanford AI Lab as a visiting scholar.
Special thanks to Christopher Choy and Prof. Silvio Savarese.
Github:
https://github.com/yunishi3/3D-FCR-alphaGAN
The document defines various CAD commands and terms. It provides definitions for chamfer, fillet, the differences between copy and move, offset and mirror, break, trim, and erase, scale and stretch, line and polyline, circle and arc, polar and absolute coordinates, mtext and dtext, zoom all and zoom window, grid and snap, rotate, stretch, wblock, block, explode, layer, ortho, array, donut, dimlinear, dimradius, polygon, and ddedit. It also describes types of zoom including extents, previous, vmax, window, scale x, zoom xp, and realtime zoom.
Goodbye Nightmare : Tops and Tricks for creating LayoutsLuc Bors
Luc Bors gave a presentation on creating complex layouts with Oracle ADF Faces. He discussed various layout containers like PanelFormLayout, PanelStretchLayout, PanelSplitter, panelAccordion, and PanelTabbedLayout. He emphasized the importance of using fewer layout containers, reducing the number of components that need to stretch, and working with colors to understand layout behavior. The presentation included tips on resources and best practices like using quick start layouts, avoiding nested scrolling, and benefiting from the PanelGridLayout component.
Luc Bors presented tips and tricks for creating complex layouts with Oracle ADF Faces at ODTUG KScope 2013 in New Orleans. He discussed using various layout containers like the panelFormLayout, panelStretchLayout, panelSplitter, panelAccordion, and panelTabbedLayout. He emphasized the importance of using colors to understand layout behavior and reducing the number of layout containers. The panelGridLayout was highlighted as an effective way to create grid-based layouts without needing spacers or separators. Examples were provided for creating common application layouts like an Outlook-style interface using these techniques.
Grids are guidelines used in page layout to help designers organize content. Grids can be simple or complex, with few or many columns and rows. Designers place text, photos, and graphics into grid units, leaving empty alleys between. Following the grid provides clean, ordered layouts. Designers can experiment by breaking grid rules to make layouts more creative while maintaining structure and flow.
Convolutional neural networks can be used for handwritten digit recognition. They employ replicated feature detectors with shared weights to achieve translation equivariance. Pooling layers provide some translation invariance while reducing the number of inputs to subsequent layers. The LeNet architecture developed by Yann LeCun used these techniques along with multiple hidden layers and achieved an error rate of around 1% on handwritten digit recognition. Dropout regularization helps convolutional neural networks generalize well when applied to large scale tasks like ImageNet classification by preventing complex co-adaptations between hidden units.
CS 177 – Project #1 Summer 2015 Due Date =========.docxfaithxdunce63732
CS 177 – Project #1
Summer 2015
Due Date:
==========
This project is due Thursday July 9th before 11:59pm.
This assignment is an individual project and should be completed on your own using only your own
personally written code. You will submit one (1) copy of the completed Python program to the
Project 1 assignment on Blackboard. The completed file will include your name, the name of the
project and a description of its functionality and purpose of in the comments header. The file should
be named ”Project-1.py”.
This project will be the foundation of future assignments this semester, so it is important that you
maximize your program’s functionality.
Problem Description: Simulating the Movements of Cells in a Microscope
==============================================================
In 2014 Virginia scientist Eric Betzig won a Nobel Prize for his research in microscope technology.
Since receiving the award, Betzig has improved the technology so that cell functions, growth and
even movements can now be seen in real time while minimizing the damage caused by prior
methods. This allows the direct study of living nerve cells forming synapses in the brain, cells
undergoing mitosis and internal cell functions like protein translation and mitochondrial movements.
Your assignment is to write a Python program that graphically simulates viewing cellular organisms,
as they might be observed using Betzig’s technology. These simulated cells will be shown in a
graphics window (representing the field of view through Betzig’s microscope) and must be
animated, exhibiting behaviors based on the “Project Specifications” below. The simulation will
terminate based on user input (a mouse click) and will include two (2) types of cells, Crete and
Laelaps, (pronounced KREET and LEE-laps).
Crete cells should be represented in this simulation as three (3) small green circles with a radius of
8 pixels. These cells move nonlinearly in steps of 1-4 graphics window pixels. This makes their
movement appear jerky and random. Crete cells cannot move outside the microscope slide, (the
‘field’), so they may bump along the borders or even wander out into the middle of the field at times.
These cells have the ability to pass “through” each other.
A single red circle with a radius of 16 pixels will represent a Laelaps cell in this simulation. Laelaps
cells move across the field straight lines, appearing to ‘bounce’ off the field boundaries. Laelaps
sometimes appear to pass through other cells, however this is an optical illusion as they are very
thin and tend to slide over or under the other cells in the field of view.
Project Specifications:
====================
Graphics Window
• 500 x 500 pixel window
• White background
• 0,0 (x,y) coordinate should be set to the lower left-hand corner
Crete Cells
• Three (3) green filled circles with radius of 8 pixels
• Move in random increments between -4 and 4 pixels p.
The document discusses different methods for representing 3D computer graphics objects, including:
1. Boundary representations and space partitioning representations describe how to model 3D objects. Boundary representations describe objects as surfaces separating the interior from the exterior, while space partitioning divides space into non-overlapping solids.
2. Binary space partitioning trees (BSP trees) are commonly used to organize 3D scenes by recursively subdividing space into half-spaces using splitting planes. BSP trees allow efficient rendering by only checking visible objects.
3. Other representations discussed include polygon meshes, quadric surfaces like spheres and ellipsoids, and spline curves and surfaces. Octrees are also mentioned as a common representation used in video
The document discusses magnetic tapes and their use for data storage. It describes how tapes provide sequential but not random access to data. It then compares different tape systems based on media format, loading method, storage capacity, track layout, and data transfer rates. An example of a high-performance tape system is provided. The document also discusses how data is organized and stored on tapes, including track layout, blocking, and estimating tape length and data transmission times.
Here are some potential arguments for different bin sizes in the revenue histogram example:
- One day bin size: Could show day-to-day fluctuations and identify specific high/low revenue days. However, 365 bins may be too granular and show random noise.
- One month bin size: Could identify seasonal trends across months while still showing monthly variations. 12 bins balances granularity and visibility.
- One quarter bin size: Would simplify the histogram but may hide important variations across months within each quarter. Only 4 bins may obscure seasonal patterns.
The appropriate bin size depends on whether the goal is to identify daily, monthly, or quarterly trends. Monthly binning (12 bins) seems best for capturing seasonal patterns in revenue
This document discusses the importance of concise writing and proper word choice. It provides examples of wordy and convoluted sentences and rewrites them to be more concise and understandable in 3 words or less. The document encourages writing in a friendly, clear style using everyday language to ensure the intended meaning is effectively communicated.
1. Grids Are Good
(Right?)
March 10, 2007
SXSW Interactive
Austin, TX
Khoi Vinh Mark Boulton
Subtraction.com MarkBoulton.co.uk
2. About Khoi
I’m the Design Director for The New York nytimes.com
Times Online.
I’m the author of Subtraction.com, a personal subtraction.com
weblog where I write about design, technology
and other subjects.
4. About Mark
I’m the Founder of a tiny design consultancy markboultondesign.com
Mark Boulton Design.
I also write about design and whatever else markboulton.co.uk
takes my fancy at markboulton.co.uk
18. New Ideas
Rationalism became the
new imperative for design.
Out with decoration and
formalism, in with logic
and standardization.
Jan Tschichold, “Die neue Typographie” 1928.
Instructions for the standardized layout of A4 letterhead.
19. The More Things Change…
Modernists looked to build a new aesthetic by
• Deriving beauty from the innate qualities of
the machine
• Championing standardization
Sound familiar?
20. …The More They Stay the Same
There is a strong overlap between what
motivated grid usage nearly a century ago and
what motivates grid usage today.
• Deriving beauty from the innate qualities of
the browser
• Championing standardization
21. Paul Rand for IBM
Paul Rand, IBM Annual Report, 1975
41. Canvas Area
• Less left and right
margins
• Approximately 960 px
wide by 650 px tall
42. The Big Ad
The most useful ad unit to design for is the Big
Ad.
336 px wide by 280 px tall as established by the
Internet Advertising Bureau.
43. Other Ad Sizes
Big Ad width:
336 px
A design based on the Big
Ad will also accommodate Medium Rectangle
300 px wide by
the width of the other 250 px tall
popular ad unit sizes
Half-page
300 px wide by
600 px tall
44. The Utility of Constraints
Ad units complicate things, but they’re actually
very helpful because they serve as fixed
constraints.
Constraints are the mother of design
invention.
46. Units & Columns
Units are the basic building blocks of a grid.
They’re all uniform.
Columns are the groupings of units that create
the visual structure of the page. They are not
necessarily uniform.
In this example, four units are combined to create a single column.
47. The Rule of Threes… or Fours
In general, we want to
create units in multiples of
three or four.
Twelve is ideal, because
it’s a multiple of three and
four.
48. Twelve Units Can Combine into 3 Columns…
Three columns of four
units each.
53. Nonconducive Size
Unfortunately, three Big
Ads will not fit within our
960 px width.
54. Formula
Canvas - ((Total Units -1) x Gutter) ÷ Total Units = Unit
950 - ((16 -1) x 10) ÷ 16 = Unit
(Don’t worry about doing it this way.)
55. Round-up the Ad Column
Round up the ad unit
column to an even 340 px
width.
56. Divide the Ad Column
Divide the ad column into
two units of 165 px each,
with a 10 pixel gutter.
(340 - 10) ÷ 2 = 165
57. Extrapolate Units
Yields 5 units of 165 px
each for a total width of
just 865 px.
These could be
subdivided into 10 units
but a 10 unit grid is
difficult to work with.
59. Round-up the Ad Column
This time round up higher
to 350 px width.
60. Divide the Ad Column
Divide by three this time,
with two 10 px gutters, for
110 px units.
(350 - (2 x 10)) ÷ 3 = 110
61. Extrapolate Units
Yields 8 units of 110 px
each for a total width of
950 px.
62. Subdivide the Units
Eight units is a good
number, but we can
subdivide it even further
into a 16-unit grid for
added flexibility.
These units are 50 px
wide
63. Consolidate Units into Columns
A 16-unit grid allows us to
create two equal columns
in the left region.
67. Round-up the Ad Column
For a tighter look, we can
round up the ad unit to
338 px.
68. Divide the Ad Column
Divide by five this time,
with four 7 px gutters, for
62 px units.
(338 - (4 x 7)) ÷ 5 = 62
69. Extrapolate Units
Yields 14 units of 62 px
each for a total width of
959 px.
Fourteen is a strange
number, but sometimes
that makes things more
interesting.
70. Consolidate Units into Columns
Allows the left region to be
consolidated into 3
columns.
71. Left Navigation
Also allows for a slightly
wider and more
substantial left-hand
navigation column.
81. Visual Tightness
Such strict adherence to
the grid causes visual
tension.
82. Another Problem
What happens when type
needs to be inset inside a
box?
83. Accounting for Behavior
In digital media, those
boxes are often behavior.
That is, they may or may
not appear persistently.
When they’re not there, it
can cause visual
misalignment.
84. Correcting Alignment
The answer is to assume
some sort of inset for all
elements.
85. Visual Consistency
This achieves visual
consistency up regardless
of whether text is inset,
and allows breathing room
next to the grid lines.
87. The Box Model
MARGIN It’s actually useful to use
the CSS box model as a
BORDER model for imagining the
visual space around any
PADDING element.
Text
88. The Box Model in Practice
GRID LINE
COLUMN
Text Text
98. Visual Grouping through Rules
Add rules between most
nav items and to visually
combine multi-item groups
like Small Business and
Services together.
100. Adjunct to the Box Model
Every box should be laid
out using the same
principles as used in
framing.
Padding for all sides
should be visually equal.
But only the top, right and
Text
left padding should be
mathematically equal. The
bottom should be taller.
103. Applicable to All Elements
The illusion of visual
equality is enhanced
Text
when elements are
stacked.
Text
104. Items and Rules Photos
Real Estate
Even multi-item groups Sports
should be treated the same Tech
way. Travel
TV
Yellow Pages
SMALL BUSINESS
• Get a Web site
• Domain Names
• eCommerce
• Search Listings
YEEAHH SERVICES
• Downloads
• Health
• Kids
• Mobile
• Voice
• Yeeaahh! Broadband
• Yeeaahh! Global