Jakob Tholander, Klas Karlgren, Robert Ramberg, Per Sökjer
"interaction design is about more than designing a user interface; it’s about designing interaction between users and artifacts."
"Interaction design is a relatively young field without well-developed conventions, tools, and formalisms. We analyze the practical work and the conduct of interaction designers in how they express interaction and dynamics through white board drawings. We focus on how
talk and action were used to shape the meaning of the drawings."
"The qualities of a design material need to be understood in relation to the activity in which it is taken into use and through the kinds of actions that the participants engage in. This implies that design representations do not carry meaning in themselves but are made meaningful through design activity"
"The challenging issues that we address here are concerned with understanding the practical means of expressing interaction and how static drawings and sketches actually become to be about the design of interaction."
"We argue that the drawings and sketches as such are not sketches of interaction, rather they become about interaction through the designers active engagement with these representations through talk and action."
"Whereas traditional user interface design is concerned with designing the particular interface elements that will be used to interact with a computational system, commonly through WIMP-interfaces, interaction design puts its emphasis on the design of the interaction between users and computational artifacts."
"The role of sketching is increasingly emphasized in interaction design practice [4, 12] often drawing on Schön’s [13] classic work on how the design material works as a conversational partner that “talks back” to the designer."


Here at the Coffee Cafe we really take pride in making our coffee and making sure that all our customers are satisfied. We make all our cups of coffee so that they are perfection so you as our customer get nothing but the best. Our Coffee is freshly ground for you, so you don't have to grind the beans yourself. Beans designated for espresso are roasted longer than regular coffee beans, so that the oils are brought to the surface of the bean.


Flight Details Confirmation
Flight Number: {{OutFlight.flightNumber}}
Departure Time: {{OutFlight.departureDateTime}}
Arrival Time: {{OutFlight.arrivalDateTime}}
Class: {{OutFlight.class}}
Seat Type: {{Seat}}
Price : ${{OutFlight.cost}}
Credit Card Information
Card Type :
Visa
Paypal
Master Card
Card Number :
Security Number :
Expiration Date :
Email Address :
First Name :
Last Name :
Passport Number :
Confirm


Carousel with Previous / Next controls to advance between items.
Bulleted indicators for number of items and currently-selected item. Click to advance between items.
Numbered pagination controls for each item, with flanking Previous / Next controls.
Previous and Next render as heads-up controls that display on hover events. Since hover events don't work on mobile, simply swipe to advance.
Image carousel containing textual captions with simple Previous / Next controls to advance between items.
Items can be stretched to fit the viewport, or they can be sized individually like in this example.
In this example, we've used the included .m-card-light
class to give the element a background and border.
You will have to to size the element or it's content yourself.
Display the current item larger than the rest, and animate the transition between each with the .m-scaled
class.
Arbitrary content carousel with simple Previous / Next controls to advance between items.
We used the included class .m-card-dark
to give each element a background.
These elements are automatically sized by the .m-fluid
class to be full width.


Reports: Barca Target Wonderkid With African Roots
by Kurt BuckerfieldWith Spanish giants FC Barcelona still on the hunt for a long-term replacement for Luis Suarez, the club has reportedly identified a talented teenage striker, who has African blood, as a potential target.
Ronaldo Unhappy With Substitution, Sarri Explains His Reaction
The Blaugrana's search for a new No. 9 goes on as the club seeks to bring in a striker one day worthy of replacing the Uruguayan forward.
As per Sport, Barca have set their sights on 17-year-old Karim Adeyemi, a young attacker who was born in Germany but is eligible to play for Nigeria through his family's African roots.
Earn Airtime & Data With Soccer Laduma's Social Media App - Download Now
Adeyemi is currently on loan from Red Bull Salzburg at FC Liefering in the second division of Austrian football, where he has spent the past two years.
The Munich-born forward has scored 11 goals and assisted a further eight strikes in 30 senior appearances for Liefering, a very healthy return for a player who only turns 18 next year.
9 Stars Who Were Stripped Of The Captain's Armband
His parent club Salzburg are believed to value Adeyemi at about €15 million (R244 million), a fee the Catalan giants are reportedly prepared to pay for the promising young striker.


Please note that this example may only work when served through a web server. The example code needs to dynamically load files which for security reasons is not allowed when serving from the file system.


For all analyses, the first 30 years of time series of melt and bottom temperature, which contain the model spin-up signal, are excluded. The resulting time series are detrended with a linear fit.
Signal-to-noise ratio is calculated as the ratio of variances σ2, calculated as
Cross correlations of MCDW depth and volume flux with melt rate were calculated and a lag of 0 months is found to be optimal. As analysis is computed on monthly averages, a short lag or lead of less than 1 month is possible.
Empirical orthogonal function (EOF) analysis is used to decompose a time series into orthogonal spatial patterns (EOFs) along with the associated time series or principal components (PCs) and the variance explained by each mode 43. While EOF analysis can provide useful decomposition of data, it has limitations such as domain dependence. While the leading mode(s) may often be physical, successively higher order modes, which explain less of the remaining variance, are unphysical as a consequence of the mode orthonormalisation.
Consequently, we employ singular spectral analysis (SSA) to express the original time series as a linear combination of components derived from singular value decomposition of the (time) lagged covariance matrix with maximum lag M. The resulting modes together sum to the original time series, while the slowest varying mode represents the non-linear trend with (time) variability of the order of the chosen embedding dimension M or longer. The decomposition is data driven (based on smaller, lagged portions of the original time series) and does not require projection on predefined basis functions, as required for example with Fourier transform methods. SSA readily provides non-linear smoothing of the original time series with the degree of smoothing controlled by M12, 30. The SSA in-band variance shows the percentage of total variance present in the chosen time band bounded by predefined embedding dimension values, i.e. 0–1, 1–5, 5–10 and 10–30 years as in Figs. 3j–m and 4g–j.
Plots made with assistance from the Antarctic Mapping Tools for MATLAB toolbox 44 and cmocean 45 colourmaps.


com
.
johnsnowlabs
.
nlp
.
annotators
.
ner
dl
package
dl
Visibility
Public
All
Type Members
class
NerDLApproach
extends
AnnotatorApproach
[
NerDLModel
] with
NerApproach
[
NerDLApproach
] with
Logging
with
ParamsAndFeaturesWritable
class
NerDLModel
extends
AnnotatorModel
[
NerDLModel
] with
WriteTensorflowModel
with
HasStorageRef
with
ParamsAndFeaturesWritable
trait
ReadablePretrainedNerDL
extends
ParamsAndFeaturesReadable
[
NerDLModel
] with
HasPretrained
[
NerDLModel
]
trait
ReadsNERGraph
extends
ParamsAndFeaturesReadable
[
NerDLModel
] with
ReadTensorflowModel
trait
WithGraphResolver
extends
AnyRef
Value Members
object
LoadsContrib
object
NerDLApproach
extends
DefaultParamsReadable
[
NerDLApproach
] with
WithGraphResolver
with
Serializable
object
NerDLModel
extends
ReadablePretrainedNerDL
with
ReadsNERGraph
with
Serializable
object
NerDLModelPythonReader
Ungrouped


Argeon Highmayne
Strenght : 19
Agility : 7
Stamina : 12
Intellient : 5
Vitality : 16
Agility : 7
Stamina : 12
Intellient : 5
Vitality : 16
Armor : 56
Damage : 20
Skill Points: 0
Damage : 20
Skill Points: 0
Skill Tree
Inventory
Equipment
Head:
Torso:
Weapon:
Skills


This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
By no means is this an exhaustive example, and I take no responsibility for any problems that arise from this work, but I'm happy that it validates and works in Readium as is, and serves as a practical guide, example and demonstration of the technology.
Based on Blank Book by Jason Hibbs. This book integrates xapiwrapper.js to show examples of communication to a Learning Record Store, such as the ADL LRS.
A session based hash has been appended to an email address for the actor statements to show data persistence across multiple xhtml files using HTML5 local storage.


{% extends "django_models_from_csv/base.html" %} {% load i18n static %} {% block title %} Database Columns | {{ block.super }} {% endblock %} {% block content %}
{{err}}
{% blocktrans trimmed %} These are the column names and types we found in your sheet. Feel free to double check and correct any mistakes before continuing. {% endblocktrans %}
{% blocktrans trimmed %} The first five columns (below) will be displayed in the imported records list. The remaining columns will only be shown inside each record's full detail page. Re-order the columns by dragging them around. {% endblocktrans %}


Home
About
Skills
Hey, I am Somya. This is my first web page
I have currently completed my second year
I am good at everything I do


DNA for Data, Project Names, VGA SDR, and Image Magic Exabytes in a Test Tube: The Case for DNA Data Storage -- still in its infancy, but researchers are drawn by high storage density (up to 1E12 GB/gram), unpowered, and durable in "ideal" conditions. There are even people working on random-access tech. Waggle Dance -- Hive federation service. Enables disparate tables to be concurrently accessed across multiple Hive deployments. (Hive is an Apache data warehouse project.) This easily wins today's award for Best Project Name. (Circus Train is a good name, but not as {fingerkiss} as Waggle Dance. VGA as SDR -- this is wild. osmo-fl2k allows you to use USB 3.0 to VGA adapters based on the Fresco Logic FL2000 chip, which are available for around $5, as general purpose DACs and SDR transmitter generating a continuous stream of samples by avoiding the HSYNC and VSYNC blanking intervals. Can transmit low-power FM, DAB, DVB-T, GSM, UMTS, and GPS signals. Image Inpainting for Irregular Holes Using Partial Convolutions -- the video is solid gold wow. (via NVIDIA developer news) Note: The email edition of Four Short Links will be discontinued on Monday, April 30. New editions of Four Short Links will still be published every weekday at oreilly.com/4sl and through the Four Short Links feed. Please send questions about this change to<EMAIL_ADDRESS>Continue reading Four short links: 26 April 2018.


|
Travis Yunis Survey of Media and Design Instructor: Jerry L. Brice 11-3-01 "Gorillaz" Video Game Concept Titled: "Gravity Gorilaz" Video Game Type: Racing RPG (Role Playing Game) Number of Players: 1 to 4 Platform: PS2 Gravity Gorilaz is a racing RPG similar to SuperMarioCart with a race time limit. Consisting of 5 main character/vehicles choices, 4 hidden characters/vehicles, 7 main race tracks and 3 hidden race tracks. Gravity Gorilaz Story: The Gorillaz Band have to make it to their concerts in various cities befor time runs out for them and their friend Bunny who has mysteriously dissapeared. Its up to the player to get them to their concerts and help find Bunny. Gravity Gorilaz characters consist of Russel, Murdoc, 2-d, Noodle, and Gorilla Gorilla. Gravity Gorilaz bonus characters include Chimp, Genie-Russel, Dracula-Murdoc and Bunny. Character Vehicles: Murdoc drives a Winnebago, special weapon is the Septic Spill; which, acts as an oil slick. 2-d drives a large Ford sedan, special weapon is the Tire Shredders; which, stop the opponent for several seconds. Russel drives a large pimped out Cadillac, special weapon is the Hydrolic crush; which, drops on top of the opponents car. Noodle drives a small Honda Civic type vehicle, special weapon is the Electric Bumper; which, electrifies the opponent on contact. Gorilla Gorilla drives a large Van, special weapon is the Banana Bombs; which, stun and knock the opponent. Chimp drives a Scooter, special weapon is Battery Acid; which, burns the opponents tires, slowing them down. Genie-Russel drives a Gold version of, his Cadillac, special weapon is the Hydrolic Bounce; which, causes earthquake like vibrations. Dracula-Murdoc drives a Hearse, special weapon is the Stake Stopper; which are shot at opponents tires to disable them. Bunny drives a Pink School Bus, special weapon is the Aerosol attack; which, makes a smoke screen. Gravity Gorilaz Bonus Breakdown. Once the player has beaten the game on normal with one character a new race track will open. The hidden characters are given when the player has beaten the game on hard difficulty with specific characters. Bunny will become available only after all tracks and other characters have been found. In addition to the bonus race tracks and characters there will be hidden Gorillaz music tracks available after the player uses Bunny to win the races. Travis Yunis Survey of Media and Design Instructor: Jerry L. Brice 11-3-01 "Gorillaz" Video Game Concept Titled: "Gravity Gorilaz" Video Game Type: Racing RPG (Role Playing Game) Number of Players: 1 to 4 Platform: PS2 Gravity Gorilaz is a racing RPG similar to SuperMarioCart with a race time limit. Consisting of 5 main character/vehicles choices, 4 hidden characters/vehicles, 7 main race tracks and 3 hidden race tracks. Gravity Gorilaz Story: The Gorillaz Band have to make it to their concerts in various cities befor time runs out for them and their friend Bunny who has mysteriously dissapeared. Its up to the player to get them to their concerts and help find Bunny. Gravity Gorilaz characters consist of Russel, Murdoc, 2-d, Noodle, and Gorilla Gorilla. Gravity Gorilaz bonus characters include Chimp, Genie-Russel, Dracula-Murdoc and Bunny. Character Vehicles: Murdoc drives a Winnebago, special weapon is the Septic Spill; which, acts as an oil slick. 2-d drives a large Ford sedan, special weapon is the Tire Shredders; which, stop the opponent for several seconds. Russel drives a large pimped out Cadillac, special weapon is the Hydrolic crush; which, drops on top of the opponents car. Noodle drives a small Honda Civic type vehicle, special weapon is the Electric Bumper; which, electrifies the opponent on contact. Gorilla Gorilla drives a large Van, special weapon is the Banana Bombs; which, stun and knock the opponent. Chimp drives a Scooter, special weapon is Battery Acid; which, burns the opponents tires, slowing them down. Genie-Russel drives a Gold version of, his Cadillac, special weapon is the Hydrolic Bounce; which, causes earthquake like vibrations. Dracula-Murdoc drives a Hearse, special weapon is the Stake Stopper; which are shot at opponents tires to disable them. Bunny drives a Pink School Bus, special weapon is the Aerosol attack; which, makes a smoke screen. Gravity Gorilaz Bonus Breakdown. Once the player has beaten the game on normal with one character a new race track will open. The hidden characters are given when the player has beaten the game on hard difficulty with specific characters. Bunny will become available only after all tracks and other characters have been found. In addition to the bonus race tracks and characters there will be hidden Gorillaz music tracks available after the player uses Bunny to win the races. |
|
home | staff
| portfolio | clients
| about us | logos
| posters | advertisements
game concept | profile | contact us |
|
©2001 Group A
designed by<EMAIL_ADDRESS>|


Possible disruption of water supply on Castletown Road next week - Talk of the Town
by TOTT EditorHomeowners and businesses on the Castletown Road and surrounding areas may suffer disruption to their water supply next week.
This is due to mains repair works due to be carried out between 8am and 6pm daily from Monday December 2nd to Friday December 6th.
A traffic management plan will be in place for the duration of the works so motorists advised to avoid the area if at all possible.


A Flux Javascript Framework
Simplicity is key in reducing bugs and coding quickly. The easier it is to code, the more confident and familiar a developer becomes, in turn significantly speeding up development time.
Features
Flux Architecture
The ArkhamJS framework is small. The bulk of your app should lay within your code, not the framework. While larger frameworks come with lots of "magic", they begin to set limitations when new requirements arise within your project.
Simplicity
Whether your project is small or large, ease of use is key. The time it takes to onboard new developers onto a project to learn a new language like Vue or Angular -- or even the complexity of Redux along with its various middleware -- can slow a project down. Time is money.
ArkhamJS is a non-intrusive framework. If the project is React, devs just need to know React. Plain and simple.
Single Store
Learn once, use anywhere. ArkhamJS is not tied to a particular library. Use it on the front-end and back-end. ArkhamJS can be used within any library and/or framework, including: Angular, NodeJS, React, and React Native!
Versatile
Learn once, code anywhere. ArkhamJS is not tied to a particular library. Use it on the front-end and back-end. ArkhamJS can be used within any library and/or framework, including: Angular, NodeJS, React, and React Native!
Immutable
To prevent object referencing, we use immutable objects. When the state changes, the state's property is not the only item that is changed, the item it references is also updated. To prevent passing around an object between different scopes, immutable objects give your data a one way update path. You may also have returned values converted into ImmutableJS objects.
Typed
Although TypeScript is not required, ArkhamJS is strongly typed to plays well with TypeScript. Included are definitions to support your Typescript project.
Debugging
The most important factor in choosing a framework is how easy it is to build. And with building comes debugging. With the state debugger enabled, it will display any actions and state changes that come through the framework. Making the previous and next state visible to the developer. Great way to make your data transparent!
ArkhamJS is a non-intrusive framework. If the project is React, devs just need to know React. Plain and simple.


"x" "1" "STOYANOV,I, NIKOLOV,I, CHERNOZEMSKII,I AND STOICHEV,I, ASSESSMENT FORMUTAGENICITY OF 10 PHARMACEUTICAL PRODUCTS FOLLOWING AMES, MICRONUCLEUS, ANDSPERM MORPHOLOGY TESTING,TOXIC. ASSESS. 2(2):207-215, 1 __ 987"


---
sort_order: 102
tei_id: rdx_191dd.p.idp17591536
annotation_count: 0
images:
small-thumbnail: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfgmk/mini-thumbnail/
json: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfgmk/info/
full: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfgmk/fs/
page: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfgmk/single-page/
thumbnail: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfgmk/thumbnail/
title: Page 102
number: 102
---
{% raw %}104 THE LAND-CLAIM.{% endraw %}
{% raw %}prisoner could be reached. Failing in this, I called him from{% endraw %}
{% raw %}the windows to assist me in breaking the wooden bars; but{% endraw %}
{% raw %}IS no oue answered I conclude that he -was already dead.{% endraw %}
{% raw %}There was nobody to do any thing but the sheriff's wife and{% endraw %}
{% raw %}children, who were terrified out of their reason, and utterly{% endraw %}
{% raw %}helpless. The sheriff himself was engaged at one of the offices{% endraw %}
{% raw %}with the constables who were to go after Carnes."{% endraw %}
{% raw %}" Does she know it ?" asked Mrs. Wyman, significanUy.{% endraw %}
{% raw %}" No. I had not the courage nor the cruelty to tell her,{% endraw %}
{% raw %}after what bad already occurred to -worry her, and her{% endraw %}
{% raw %}exhaustion, and all. Mr. Wyman was equally careful, so she{% endraw %}
{% raw %}does not dream of it."{% endraw %}
{% raw %}" Poor, unfortunate chUd !" said the kind woman, weeping{% endraw %}
{% raw %}at the thought of having to communicate such news. "I{% endraw %}
{% raw %}shall be almost afraid to tell her, for fear of killing her too."{% endraw %}
{% raw %}Mrs. Wyman found Alicia still asleep, though she wakened{% endraw %}
{% raw %}at the slightest touch. The motherly heart was inwardly{% endraw %}
{% raw %}bleeding for ber, and the kiss she bestowed on the pale,{% endraw %}
{% raw %}smooth brow, had untold tenderness in it—the tenderness of{% endraw %}
{% raw %}pity, love and grief Alicia answered her with a brilliant{% endraw %}
{% raw %}smile. In reply to inquiries coucerniug how she had slept,{% endraw %}
{% raw %}she eagerly asserted that she never had slept so well.{% endraw %}
{% raw %}" I had such a pleasant dream!" she said,{% endraw %}
{% raw %}" What did you dream, dear ?" asked Mrs. Wyman, helping{% endraw %}
{% raw %}her to put on her clothes.{% endraw %}
{% raw %}" I dreamed that father had forgiven me. I thought we{% endraw %}
{% raw %}were once more living here iu this house, and all was bright{% endraw %}
{% raw %}and happy.  Alicia took it, and{% endraw %}
{% raw %}then proceeded to envelop herself in the wraps provided to{% endraw %}
{% raw %}keep off the heavy morning air.{% endraw %}
{% raw %}" Dear chUd," said Mrs. Wyman, taking her in her arms{% endraw %}
{% raw %}when she was quite ready to go home, " I believe your fathei{% endraw %}
{% raw %}has forgiven you, for spirits see with eyes different from our{% endraw %}
{% raw %}mortal ones."{% endraw %}


Return value:
The RectangleF that represents the bounds of the image, in the specified unit.So far so good. But please notice the signature of the method:
public RectangleF GetBounds(ref GraphicsUnit pageUnit)
We need to pass the unit of measurement BY REFERENCE. I had no idea why.
It turns out this method ALWAYS RETURNS THE VALUE IN PIXELS. Additionally the unit parameter is always set to Pixel instead.
And there is no ANY information about it on the documentation at all. Great. I wasted 2 hours for this.
Again have to patch, fix, extend.


| Class and Description |
|---|
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| Class and Description |
|---|
| PlayerBuilding
PlayerBuilding.java --- Wrapper for a Player building.
|
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| PlayerUnitFactory
PlayerUnitFactory.java --- Factory used to create different kinds of
PlayerUnits.
|
| PlayerUnitWorker
PlayerUnitWorker.java --- Wrapper for a general worker Unit.
|
| RemoveAgentEvent
RemoveAgentEvent.java --- Event used for removing an Agent from the
collection of updatable Agents associated with the given PlayerUnit.
|
| Class and Description |
|---|
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| Class and Description |
|---|
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| Class and Description |
|---|
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| Class and Description |
|---|
| IPlayerUnitWrapper
IPlayerUnitWrapper.java --- Interface for controllable wrapper Player Units.
|
| IssueStateWrapper
IssueStateWrapper.java --- A wrapper Class for an
IssueStateWrapper.IssueState
containing functions for signaling an error (IssueStateWrapper.signalIssue() ). |
| IssueStateWrapper.IssueState
IssueState.java --- A Enum representing an issue combined with an
additional time stamp.
|
| PlayerBuilding.Checker
Checker.java --- Class for transferring the Unit and InformationStorage
reference.
|
| PlayerBuilding.QueueElementChecker
QueueElementChecker.java --- Wrapper for Classes used in the
PlayerBuilding.extractPossibleMatch(Queue, QueueElementChecker)
function. |
| PlayerBuilding.State |
| PlayerUnit
PlayerUnit.java --- Wrapper for a player unit.
|
| PlayerUnit.ConfidenceRangeStates |
| PlayerUnit.ConfidenceState |
| PlayerUnit.UnitStates |
| PlayerUnitTerran_Marine
PlayerUnit_Marine.java --- Terran_Marine Class.
|
| PlayerUnitTerran_SiegeTank
PlayerUnit_Siege_Tank.java --- Terran_SiegeTank Class.
|
| PlayerUnitTerran_SiegeTank.ExpectingEnemyState
ExpectingEnemyState.java --- Enum used for switching between expecting
enemy Units and not doing it at all based on a set frame time interval.
|
| PlayerUnitTypeFlying
PlayerUnitTypeFlying.java --- Class for flying Units.
|
| PlayerUnitTypeMelee
PlayerUnitTypeMelee.java --- Class for melee Units.
|
| PlayerUnitTypeRanged
PlayerUnitTypeRanged.java --- Class for ranged Units.
|
| PlayerUnitWorker
PlayerUnitWorker.java --- Wrapper for a general worker Unit.
|
| PlayerUnitWorker.ConstructionState |


What are you eating?
Snap a photo of your food & upload for a nutritional breakdown.
Analyse My Nutrition!!
1
Upload a Photo
2
Nutrition Analysis


Home Automation with Arduino
Menu
Security
Thermostats
Light
Log
Home
Voice Command
Help ?
Back
Security Monitoring
Room 1
Room 2
Room 3
Room 4
Back
Thermometer Monitoring
temperature : 7
Location
Back
Light Monitoring
Room 1
Switch
Lamp 1 :
Off
On
Moody
Red:
Green:
Blue:
Back
Log Activity
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2
Day and Date of event
Activity 1
Activity 2


Ballano, V. O. (2015). Sociological Perspectives on Media Piracy in the Philippines and Vietnam. Springer. Retrieved from http://link.springer.com.ezproxy.lib.monash.edu.au/content/pdf/10.1007/978-981-287-922-6.pdf
Wang, Y.-S., Yeh, C.-H., & Liao, Y.-W. (2013). What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy. International Journal of Information Management, 33(1), 199-208. Retrieved from http://www.sciencedirect.com.ezproxy.lib.monash.edu.au/science/article/pii/S0268401212001211


object Complex extends Serializable
A companion object for the Complex class.
This contains constants and implicit conversions.
- Source
- Complex.scala
- Alphabetic
- By Inheritance
- Complex
- Serializable
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
val
E: Complex
The base of the natural logarithm.
-
val
I: Complex
One of the two square roots of -1
One of the two square roots of -1
This has real part 0 and imaginary part 1.
-
val
Infinity: Complex
The number whose real and imaginary parts are both positive infinity.
-
val
NaN: Complex
Not a Number.
Not a Number.
This is the number whose real and imaginary parts are both NaN.
-
val
One: Complex
The number with real part 1 and imaginary part 0.
-
val
Pi: Complex
Half of the one true circle constant.
Half of the one true circle constant.
This is defined as the ratio of a circle's circumference to its diameter.
-
val
Tau: Complex
The one true circle constant.
The one true circle constant.
This is defined as the ratio of a circle's circumference to its radius.
It is exactly 2π and is denoted by τ.
-
val
Zero: Complex
The number with real part 0 and imaginary part 0.
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
implicit
def
fromDouble(v: Double): Complex
Wraps a
Double
as a complex number.Wraps a
Double
as a complex number.The output will have the input as its real part and 0 as its imaginary part.
- v
The number to convert to a complex number
- returns
v
as a complex number
-
implicit
def
fromInt(v: Int): Complex
Wraps an
Int
as a complex number.Wraps an
Int
as a complex number.The output will have the input as its real part and 0 as its imaginary part.
- v
The number to convert to a complex number
- returns
v
as a complex number
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
This is the documentation for the Evaluator project (see GitHub).
The main package net.totietje.evaluator. The net.totietje.complex package contains an example usage of this package, which may also be useful.


This tool will validate your sample metadata against one or more schemas. Drag and drop all parts of your PEP here. This includes metadata only, which is the config YAML file, any sample or subsample table CSV files, etc. Then, click "Validate".
Want API access? This tool is a static, client-hosted form that accesses an API validator service based on peppy. You can also access this service programatically if you want to validate sample metadata as part of a pipeline or other tool.


HTML
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About the test
The following results were created in an older version of the test suite. If you test the same browser on the current site, it may get a different score and different results.


A Client Management Site for Consultants on the Go
ConsultApp
ConsultApp has a visitors view with Projects, an about page, and a contact section, as well as an admin section where consultants can manage their expenses and notes
Projects
A simple view for potential customers to see your work and what you've done
Client List
In the admin view, the first thing you'll see is a list of your clients
Selected Client
Select any of your clients, and add notes and hours worked
Add New Client
Or add a new client on the fly.
ConsultApp was written in Angular 2 with Bootstrap styling heavily emphasized throughout the website. The idea was conceived as a way to help my dad organize his clients and more effectively manage his time and expenses.
Date: September 2016
Client: Maxfield Group, LLC.
Category: Full Stack Web Development
Stock-X
Historical stock data. See what moves your stocks.
Stock-X was created to fill a gap that I had found while researching some stocks. The goal of the procet was to connect the highs and lows of a companies stock price with headlines about the company from that day.
Stock-X was built with Angular 1.5 components, sass, gulp, as well as the New York Times APi and the Yahoo Finance API
As my first project, and first website, I wanted to improve some parts of a website for my brother's business. I cloned much of the site but added in a few features that I felt would be helpful for the company, such as the instagram pictures.
Project Name
Lorem ipsum dolor sit amet consectetur.
Start Bootstrap's Agency theme is based on Golden, a free PSD website template built by
Mathavan Jaya. Golden is a modern and clean one page web template that was made exclusively
for Best PSD Freebies. This template has a great portfolio, timeline, and meet your
team sections that can be easily modified to fit your needs.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Project Name
Lorem ipsum dolor sit amet consectetur.
Escape is a free PSD web template built by Mathavan Jaya.
Escape is a one page web template that was designed with agencies in mind. This template
is ideal for those looking for a simple one page solution to describe your business and
offer your services.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Project Name
Lorem ipsum dolor sit amet consectetur.
Dreams is a free PSD web template built by Mathavan Jaya.
Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful
template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.


11 Image perfection: rank filters
Pixel neighborhoods and estimation operation are key words in classification of nonlinear filters. Such an approach enables unified treatment and comparison of nonlinear filters and their structuring that can be directly translated into algorithmic implementations of the filters.
The pixel neighborhood is formed on the base of attributes of pixels involved in the filtering. Obviously, primary pixel attributes that determine filtering operations are pixel gray values and their co-ordinates (indices). It turns out, however, that a number of attributes other than only these primary ones are essential for nonlinear filtering.
Pixel neighborhoods are formed as subsets of filter window pixels selected according to their certain attributes. Formation of pixel neighborhoods can be interpreted as segmentation of image fragment within the filter window for separating pixels that will be involved in generating filter output from those, which are irrelevant for this. The primary neighborhood is the set of all pixels of the filter window. [1]
The Pixel Neighborhoods types illustrated in experiment “Pixel Neighborhoods “defined at Table 11‑1.
More Pixel Neighborhoods types can be found at [1].
Table 11‑1: Pixel Neighborhoods shown in “Pixel Neighborhoods” experiment
|
V-neighborhoods: pixel gray level as attributes |
|
|
“Epsilon-V”-neighborhood of pixel |
A subset of filter window pixels with values that satisfy the inequality: . |
|
“K nearest- by-value”-neighborhood of pixel |
Subsets of K filter window pixels with gray levels closest to that of pixel. |
|
R-neighborhoods: pixel ranks as attributes |
|
|
“Epsilon-R”- neighborhood
|
A subset of filter window pixels with ranks that satisfy inequality: . |
|
Quantil-neighborhood
|
Filter window order statistics , whose ranks satisfy inequality |
|
G-neighborhoods: Geometrical attributes |
|
|
“Flat”-neighborhoods
|
Filter window pixels with values of absolute value of Laplacian (or module of gradient) lower than a certain threshold |
The “Pixel Neighborhood” experiment display 5 different types of neighborhoods – epsilon V neighborhood, “KNV” neighborhood, “Flat”-neighborhoods,
Figure 11‑1: "Pixel Neighborhood". Top left is the test image, with selected fragment marked by a black square. Second from the left top is the selected window fragment. Third from the left top is the selected window histogram. Top right is the flat neighborhood result, with gradient threshold of 3.5. Bottom left is the EV neighborhood result, with , . Second from the left bottom is the KNV neighborhood result. Third from the left bottom is the ER neighborhood result. Right bottom is the KNR neighborhood result. Window size is 45x45, gradient threshold
From Figure 11‑1 it can be seen the different behavior of each neighborhood. The flat neighborhood emphasis the edges in the image whereas KNR and EV neighborhoods seems more of a segmentation mask. The ER and KNV appears similar, and are more restricted.
Estimation operations performed on pixel neighborhood can be used as nonlinear filters for data smoothing operations, and operations that evaluate data spread in the neighborhood.
Two such nonlinear filters aimed for additive noise filtering are illustrated at “Filtering Additive Noise” experiment:
Iterative mean over “Epsilon-V”-neighborhood (aka “Sigma filter”) -
This filter repeated #of_iteartion times the operation of assigning each pixel the calculated mean value of “Epsilon-V”-neighborhood in its surrounding window.
Iterative median over “Epsilon-V”-neighborhood –
This filter repeated #of_iteartion times the operation of assigning each pixel the calculated median value of “Epsilon-V”-neighborhood in its surrounding window.
Figure 11‑2: “Filtering Additive Noise”. Top left image is the original test image. Top right image is the test image with additive noise. Bottom left image is the filtering result using mean over EV neighborhood filter. Bottom right image is the filtering resut is the filtering result using median over EV neighborhood filter.
The comparison shown in Figure 11‑2 illustrates the advantages and disadvantages of each filters. While the median filter has better edge preserving capabilities (see comparison of edges near the top right of the filtered images), the mean filter filters better the noise (see comparison of remaining noise near the top bottom of the filtered images).
In cases when a model of impulse noise is more appropriate for noise contaminations, noise cleaning filters should be built as two stages: (i) contamination detection and (ii) smoothing.
This principle is described by equations
Equation 11‑1
Where is a binary switch variable
Equation 11‑2
where and are, correspondingly, estimation and detection smoothing operations, for which one of smoothing filters such as median filter of mean filter can be used, and is a “detection” neighborhood formed around -th pixel smoothed by the detection smoothing operation. [1]
“Filtering Impulse Noise” experiment compares two iterative algorithms for impulse noise removal:
Iterative Local median filter – each pixel is assigned with the calculated median value of it surrounding window, repeated iteratively. For this case, for all pixels, and is a median operation over the whole window.
Iterative Rank filter – composed of two stages, contamination detection and smoothing. Each pixels rank (i.e. pixel positions in variational row ) is tested to be in a predefined range. If the pixels rank is within the defined range, the pixel id untouched. If the pixels rank is within the defined range, the pixel is assigned with the calculated median of its surrounding window.
In this case,
And
Where is Window neighborhood of the pixel.
Figure 11‑3:” Filtering Impulse Noise”. Top left is test image. Bottom left is test image tempered with impulse noise. Top middle is the iterative Local median filter result. Bottom middle is the iterative local median filter result residual error. Top right is the iterative local rank-filter result. Bottom middle is the iterative local rank-filter result residual error. Impulse noise probability is 0.15, window size is 3x3, number of iteration is 3, lowest rank for noise detection is 1, and the highest rank for noise detection is 8.
The comparison between the two impulse noise filters displayed at Figure 11‑3 is non conclusive, but with small advantage to the rank filter. Although the rank filter did not suppress all of the impulse noise, its ability to preserve edges, especially in comparison to the median filter, is very important.
Image segmentation can usually be interpreted as generating from input image its piece wise constant model.
In image segmentation, one can regard image tiny and low contrast details that have to be eliminated in the process of segmentation as “noise”. [2]
Noise smoothing rank filters described in the “Filtering Additive Noise” experiment is very well suited for such a processing:
Equation 11‑3
Where is one of smoothing operations such as , , , or .
is a neighborhood operation such as neighborhood, neighborhood, etc.
This experiment will focus on smoothing operation over neighborhood.
The “Image Segmentation” experiment illustrated the use of Iterative mean over “Epsilon-V”-neighborhood (aka “Sigma filter”) as image segmentation operation.
Figure 11‑4: “Image segmentation using "Sigma Filter"”. Left image is the test image. Right image is the segmentation result, after 3 iteration of the sigma filter, with window size of 5x5, and EVminus = 5, EVplus = 5.
Figure 11‑4 illustrates the sigma filter capabilities of segmentation and revels a connection between noise filtering task while preserving edges and image segmentation – intense repetitive edge preserving noise filtering results in segmentation appearance of the image.
|
[1] |
L. P. Yaroslavsky, "Pixel Neighborhoods," in Theoretical Foundations of Digital Imaging Using MATLAB, CRC Press, 2012, p. 444. |
|
[2] |
L. P. Yaroslavsky, "Image restoration and enhancement:Nonlinear filters," [Online]. Available: http://www.eng.tau.ac.il/~yaro/lectnotes/pdf/AdvImProc_4.pdf. |


Demand grows for Siddharth Shukla’s eviction from Bigg Boss after he indulges in more violence against Asim Riaz
by JKR StaffDemand is growing for Siddharth Shukla’s eviction from the Bigg Boss reality show after he indulged in more violence against Asim Riaz on Wednesday night. Wednesday night’s episode also saw Siddharth Shukla and Mahira Sharma flirt with each other. Their ‘romance’ included Siddharth praising Mahira’s beauty saying that her face was priceless.
Siddharth Shukla was provoked by Paras Chhabra against Asim Riaz as the former began to make fun of the latter’s modeling career in South Africa. Little did he realise that Asim was listening to his conversation with Paras. What provoked Siddharth was the statement made by Paras, which said that Asim was being disloyal to him after he continued to protect him in the competition all along.
Aarti Singh rightly detected the game played by Paras, who was seen creating fissures between the two erstwhile friends. When he later told Siddharth to not lose his cool, Aarti chided him saying that why he didn’t think of the adverse reaction from Siddharth when he was provoking him against Asim.
Even Devoleena Bhattacharjee and Rashami Desai wondered how Paras and Mahira Sharma had developed so much of a liking for Siddharth. Both had locked horns with Siddharth all through this season of the reality show.
Shehnaaz later told Paras and Mahira that Asim had formed his own independent team with Shefali Jariwala, Himanshi Khurana and Hindustani Bhau. Aarti, she said, was acting neutral and may reveal her cards soon. Shefali, Himanshi and Asim were heard agreeing to approach Hindustani Bhau that they will support him for the captaincy role only if he makes Siddharth work in the kitchen without giving him an easy time.
Aarti nailed it when she said that Siddharth was allowing himself to be used as a puppet by the likes of Paras and Mahira even though he accused ‘Paras of the same’ in the past.
Hindustani Bhau also agreed with Aarti stating that Paras and Shehnaaz desperately wanted either Asim or Siddharth to physically assault each other.
Meanwhile, several prominent individuals from the entertainment industry have slammed Bigg Boss for ignoring Siddharth’s shenanigans accusing the makers of the reality show of brazen biases.


> Light Reveals Trouble
PHOTO
The morning I took this, I initially drove to Sypes' Canyon to get some pictures of the Bridger Mountain Range in Bozeman. While I got some okay shots, the best pictures were across the valley. Luckily I had a telephoto lens with me, I was able to capture some pretty dramatic scenes! I love when that happens!
> Bodhi's Eyes
PHOTO
This is my family's dog, Bodhisattva. You will certainly see some more photos of him in the future.  In this photo his chin is on my lap (pictured lower right). Those eyes!!
> Her Protest
PHOTO
My beautiful sister, Darby. The day I took this I'll admit I was being a bit annoying with the camera. I have lots of shots of her giving me the "really?" look, but in this one, she decided to ignore me. Good thinking.
> Winter is Coming
PHOTO
A really cool contrast of snow and green grass that can be found in the early winter. This particular patch of grass in on my parent's land in Bozeman, Montana.
> Backyard Skyline
PHOTO
This is the view looking out our back door towards the Spanish Peaks outside of Bozeman. I swear, this view changes every single day, with the next view looking better than the last.


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Coulthard: "Vettel is just not as good at wheel to wheel as other drivers"
by Tom MasonFormer F1 driver David Coulthard has pinpointed exactly where Sebastian Vettel is going wrong this season. The German has found it tough this season and has been locked in an intriguing battle with his teammate Charles Leclerc, who is ahead by 19 points with one race remaining.
"Vettel has been hanging on the ropes all season. This is a very difficult season for the German with this Charles Leclerc, who joined the team and immediately proved his speed," Coulthard told Channel 4.
"This is emphasized once more because the Monegask put one pole after the other behind his name and Vettel passed in the championship."
The German has won just one race in 2019 and was involved in a collision with his teammate in Brazil, which cost both of them their chance of finishing inside the points.


Saturday 2/9today
Lunch
10:30am - 1:30pm
- Scrambled Eggs
- Bacon and Chicken Sausage
- Homefries
- Barbecued Tofu (v)
- Waffles and French Toast with Fruit Toppings
- Cauliflower (v), Edamame Succotash
(v)
denotes vegan options.
Dinner
4:00pm - 7:00pm
- Curried Chicken and Potatoes
- Basmati Rice (v)
- Chana Masala (v)
- Aloo Gobi (v)
- Chicken Caesar Salad Bar
- Peas (v), Spinach (v)
(v)
denotes vegan options.


Version Functions¶
Check for latest version and recommend upgrade:
synapseclient.check_for_updates()
Print release notes for installed version of client:
synapseclient.release_notes()
- version_check.check_for_updates()¶
Check for the existence of newer versions of the client, reporting both current release version and development version.
For help installing development versions of the client, see the docs for
synapseclient
or the README.md.
- version_check.release_notes()¶
Print release notes for the installed version of the client or latest release or development version if version_url is supplied.
- Parameters
version_url –
Defaults to None, meaning release notes for the installed version. Alternatives are:
synapseclient.version_check._VERSION_URL
synapseclient.version_check._DEV_VERSION_URL


Hazard identification in a virtual worksite
An experience about the navigation techniques in a virtual world
Purpose of the study
This study has been created to allow evaluating some navigation techniques in a virtual environment, for the specific task of hazard identification in a worksite. These will be only fall hazards and struck-by hazards.Two modalities are offered to participate to this experiment, both remotely. You only can do one.
- If you have a VR headset, and you have downloaded the application for Oculus Quest or HTC Vive (an APK for an Oculus Quest, an exe for an HTC Vive), click here:
- Otherwise, a desktop version (WebGL) is available, click here to participate :


In college I didn't have the time or materials to continue fine arts, and I transitioned to graphic design instead. I learned Illustrator and Photoshop my first semester and worked on small projects like creating two Snapchat Geofilters that are currently live in Redondo Beach and Berkeley. I was a part of a campus club called Innovative Design, where I was commissioned by other campus organizations like the Transfer Student Center or the Cal Solar Car team to design logos for them.


JavaScript: Better and Faster
Ben Cherry
SuperPoke! Pets Performance Engineer
what we'll cover
- the JavaScript language
- run-time performance pitfalls
- inheritance
- DOM performance
- long-running scripts
- page-load performance
- performance tools
- random extras
- other resources
and we'll try to do it in one hour
The JavaScript Language
just what you need to know to understand this talk
variables and functions
var foo = 1; // variable statement
function bar() {} // function statement
(function baz() {}); // function expression
(function (spam) {}(1)); // function parameter
those are the only ways you should declare things
scope
var foo = 1;
(function () {
var baz = 2;
foo = 3;
}());
alert(foo); // 3
alert(baz); // ReferenceError
JavaScript has function-level scope
hoisting
var foo = 1;
(function () {
alert(foo); // undefined
var foo = 2;
}());
alert(foo); // 1
names are always hoisted to the top of their scope
and always initialized to undefined
closure
var foo = (function () {
var bar = 5;
return function () {
alert(bar);
};
}());
foo(); // 5
setTimeout(foo, 10000); // 5, 10s later
functions have access to their original scope chain
Run-Time Performance
common pitfalls
"namespaces"
Python
import apps.pet.util
apps.pet.util.some_function()
# this is quite fast
JavaScript
SP.util.someFunction();
// but this is very slow
here's what happens
SP.util.someFunction();
- lookup
SP
- resolve property
util
- resolve property
someFunction
- execute function
imagine that in a loop!
store that reference
var some_function = SP.util.some_function,
i;
for (i = 0; i < 1000000; i += 1) {
some_function();
}
this is much faster
scope chains
the slow way
var foo = 1;
function bar() {
var i;
for (i = 0; i < 10000; i += 1) {
alert(foo);
}
}
bar();
foo
is one step down the chain
faster
var foo = 1;
function bar() {
var myFoo = foo, i;
for (i = 0; i < 10000; i += 1) {
alert(myFoo);
}
}
bar();
now myFoo
is on the end of the chain
arrays
arrays are objects, not arrays
var a = [];
typeof a; // "object"
a.length; // 0
a[10] = 1;
a.length; // 11
a["something_else"] = 1;
a.something_else; // 1
a.length; // 11
this means arrays are slower than you expect
but some browsers do optimize them
loops
for loops
// slow method
var i;
for (i = 0; i < someArray.length; i += 1) {
// ...
}
// faster
var i, l;
for (i = 0, l = someArray.length; i < l; i += 1) {
// ...
}
for-in loops
var key;
for (key in someObject) {
// ...
}
these are slow, avoid them
for-in alternative
var keys = ["foo", "bar", "baz"], i, l, key;
for (i = 0, l = keys.length; i < l; i += 1) {
key = keys[key];
// ... someObject[key] ...
}
this is much faster, and is preferred
arguments
function foo() {
return arguments[0];
}
foo(1); // 1
much slower (up to 100x) than using parameters
arguments
should be avoided if possible
Inheritance
don't use it
unless you have to
and that's all I have to say about that
modules
how to make SP.util
?
not the same as inheritance
SP.util = (function (SP) {
var util = {},
foo; // private variable
// public
util.someFunction = function () {};
// private
function someOther() {}
return util;
}(SP));
this a fast, reusable pattern
The DOM
it's absolutely terrible
but I have three simple rules to make it better
rule 1
never edit the live tree
you can detach sub-trees
var elem = $("#myelem"),
parent = elem.parent();
elem.detach();
// ... muck with elem and sub-elements ...
parent.append(elem);
.detach()
is new in jQuery 1.4
or you can clone and replace
var old = $("#myelem"),
clone = old.clone();
// ... muck with the clone ...
old.replaceWith(clone);
but be careful about event handlers
use .clone(true)
to preserve them
rule 2
build bottom-up
bottom-up construction
var child = document.createElement("div"),
parent = document.createElement("div"),
grand = document.createElement("div");
parent.appendChild(child);
grand.appendChild(parent);
document.body.appendChild(grand);
rule 3
minimize event handlers
memory leaks in IE
$(".myelems").bind("click", function () {/* ... */});
// ...
$(".myelems").remove();
// aww snap, memory leak!
was that really that surprising?
unbind before removal
$(".myelems").unbind("click").remove();
// phew!
but that kind of sucks too
use event delegation
$(".myelems").live("click", function () {/* ... */});
$(".myelems").remove();
$("
").addClass("myelems").appendTo($("body"));
the new

gets the handler for free
avoid handlers in loops
function makeElem(id) {
return $("
").attr("id", id).click(function () {
alert($(this).attr("id"));
});
}
var i;
for (i = 0; i < 1000; i += 1) {
someParent.append(makeElem(i));
}
this is slow!
faster
function handler() {
alert(this.attr("id"));
}
function makeElem(id) {
return $("
").attr("id", i).click(handler);
}
var i;
for (i = 0; i < 1000; i += 1) {
someParent.append(makeElem(i));
}
long-running operations
sometimes you can't avoid it
problem script
var i;
for (i = 0; i < 10000; i += 1) {
oneMillisecondOperation(i);
}
browser locks for 10s!
solution: timers
var i = 0;
setTimeout(function iterate() {
var stop = i + 500;
for (; i < stop; i += 1) {
oneMillisecondOperation(i);
}
setTimeout(iterate, 20);
}, 0);
split into half-second chunks, with 20ms in between
minimum intervals
setTimeout(function () {
alert("foo");
}, 0);
// how long until "foo"?
no browser really does 0ms
Chrome is ~5ms, but IE is ~18ms
others are ~10-12ms
page-load performance
getting your script running quickly

always at the bottom, so the page is not blocked
no exceptions!
avoid inline scripts

these cannot be cached or minified
only put dynamic values here
minification
function foo() {
var bar = 1;
return bar + 5;
}
function foo(){var a=1;return a+5}
our build process does this for you
make sure you're using it!
Performance Tools
SP.Performance.profiler
var profiler = SP.Performance.profiler();
function foo() {
profiler.begin("body");
// ... some operations ...
profiler.end("body");
}
// ... repeated calls to foo() ...
profiler.report(); // alerts time spent in "body"
allows complex instrumentation
apps.pet.dependencies
B('fb_lib.js',
I('js/fb_superpet.js'),
# ...
)
$apps.pet.dependencies.include('fb_lib.js')
handles minification on live, raw scripts on dev
random extras
somewhat important
parseInt
needs radix!
parseInt("123"); // 123
parseInt("10"); // 10
parseInt("010"); // 8 -> WTF?
// with a radix
parseInt("010", 10); // 10 -> crisis averted!
never forget your radix
sort
has issues
var a = [3,1,2];
a.sort(); // [1,2,3]
a = [10,1,2];
a.sort(); // [1,10,2] - f**ing javascript!
a.sort(betterComparison); // [1,2,10]
.sort()
sorts alphabetically
write your own comparison function
CSS expressions are evaluated right-to-left!
#foo div a {/* ... */}
this starts by looking at every
then it looks for those whose parent is

then it checks to see if its parent is #foo
browser share on FB SPP
- 54% Internet Explorer
- 31.8% IE8
- 19.7% IE7
- 2.6% IE6
- 68 visits from IE 999.1 (it probably has HTML5 support)
- 31% Firefox/Win
- 10% Google Chrome
- 2% Firefox/Mac
- 1.5% Safari/Mac
- 1.5% other
Useful Resources
because this was not nearly exhaustive
dead trees
- High Performance Web Sites, by Steve Souders (Yahoo!, at the time)
- Even Faster Web Sites, by Steve Souders (Google, now)
- JavaScript: The Good Parts, by Douglas Crockford (Yahoo!)
- High Performance JavaScript, by Nicholas Zakas (Yahoo!) (coming soon)
- Secrets of the JavaScript Ninja, by John Resig (Mozilla/jQuery) (coming soon)
this slideshow
was running in the browser, with JavaScript
thanks for coming!


Preparation time
30 mins to 1 hour
Cooking time
less than 10 mins
Serves
Serves 4
Dietary
Preheat the oven to 180C/350F/Gas 4.
In a saucepan, melt the butter with the caster sugar and golden syrup.
Remove from the heat and gently fold in the flour and ginger with the lime juice and zest.
Leave to cool down completely.
Drop large tablespoons of the mixture onto a heavy-based baking sheet. Make sure that you keep the mixture well spaced as it will spread out when cooking.
Cook for about five minutes until the brandy snaps are golden and lacy. Remove from the oven and leave to cool for a couple of minutes on the tray, then carefully remove using a palette knife. Lift each one gently on to a wooden spoon, then roll round the handle to form a tube.
Allow to cool on a wire rack.
Meanwhile, whip the cream in a bowl until you have achieved soft peaks, then fold in the chilli powder, passion fruit pulp and icing sugar.
Scoop into a piping bag and leave in the fridge until you are ready to serve.
To serve, pipe each snap with the chilli and passion fruit cream and then place three onto each serving plate.
Serve immediately.


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Package com.dragonboat.game
Class Boat
- java.lang.Object
-
- com.dragonboat.game.Boat
-
-
Field Summary
Fields Modifier and Type Field Description protected float
ACCELERATION
static int
bankWidth
protected float
currentSpeed
protected int
durability
protected float
fastestLegTime
protected boolean
finished
protected int
frameCounter
protected int
height
protected char
label
protected int
laneNo
protected Lane[]
lanes
protected float
lastFrameY
protected float
MANEUVERABILITY
static int
MAX_DURABILITY
static float
MAX_TIREDNESS
protected float
MAXSPEED
protected java.lang.String
name
protected float
penalties
protected int
ROBUSTNESS
com.badlogic.gdx.graphics.Texture
texture
protected com.badlogic.gdx.graphics.Texture[]
textureFrames
protected int
threshold
protected float
tiredness
protected int
width
protected float
xPosition
protected float
yPosition
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
AdvanceTextureFrame()
Keeps track of which frame of the animation the boat's texture is on, and sets the texture accordingly.boolean
ApplyDamage(int obstacleDamage)
Decreases the durability of the boat by the obstacle damage divided by the boat's robustness.void
applyPenalty(float penalty)
boolean
CheckCollisions(int backgroundOffset)
Checks each obstacle in the Lane for a collision.boolean
CheckIfInLane()
Checks if the boat is between the left boundary and the right boundary of the Lane.void
ChooseBoat(char boatChar)
Assigns the selected boat template to the boat.void
ChooseBoat(int boatNo)
Assigns the selected boat template to the boat.void
DecreaseSpeed()
Decreases the speed of the boat by 0.015 if the resulting speed is greater than 0.void
DecreaseTiredness()
Decreases the tiredness of the boat by 1 if the tiredness is greater than 0.boolean
finished()
void
GenerateTextureFrames(char boatName)
Generates all frames for animating the boat.float
getAcceleration()
float
getCurrentSpeed()
int
getDurability()
float
getFastestTime()
int
getHeight()
float
getManeuverability()
float
getMaxSpeed()
java.lang.String
getName()
float
getPenalty()
float
getProgress(int finishY)
int
getRobustness()
float
getTiredness()
int
getX()
int
getY()
void
IncreaseSpeed()
If the boat has enough stamina, increase the speed of the boat by the boat's acceleration, if not, do nothing.void
IncreaseTiredness()
Increases the tiredness of the boat by 0.75 if the tiredness is less than 100.void
MoveForward()
Increases the y-position of the boat respective to the boat's speed, and decreases the speed by 0.08%.void
Reset()
Resets necessary stats for the next race.void
ResetFastestLegTime()
Resets the boat's fastest leg time.void
setFinished(boolean f)
void
setLane(Lane[] lanes, int laneNo)
void
setStats(char boatLabel)
Interpolates predetermined stats from a boat label, and sets the stats based on those.void
setStats(float maxspeed, int robustness, float acceleration, float maneuverability)
Implicitly sets the stats of the boat, given each attribute.void
setTexture(com.badlogic.gdx.graphics.Texture t)
void
setTextureFrames(com.badlogic.gdx.graphics.Texture[] frames)
void
SteerLeft()
Decreases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.void
SteerRight()
Increases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.void
UpdateFastestTime(float elapsedTime)
Updates the boat's fastest time.
-
-
-
Field Detail
-
ROBUSTNESS
protected int ROBUSTNESS
-
ACCELERATION
protected float ACCELERATION
-
MANEUVERABILITY
protected float MANEUVERABILITY
-
MAXSPEED
protected float MAXSPEED
-
durability
protected int durability
-
yPosition
protected float yPosition
-
xPosition
protected float xPosition
-
penalties
protected float penalties
-
width
protected int width
-
height
protected int height
-
currentSpeed
protected float currentSpeed
-
fastestLegTime
protected float fastestLegTime
-
tiredness
protected float tiredness
-
lanes
protected Lane[] lanes
-
laneNo
protected int laneNo
-
textureFrames
protected com.badlogic.gdx.graphics.Texture[] textureFrames
-
frameCounter
protected int frameCounter
-
lastFrameY
protected float lastFrameY
-
texture
public com.badlogic.gdx.graphics.Texture texture
-
name
protected java.lang.String name
-
label
protected char label
-
finished
protected boolean finished
-
threshold
protected int threshold
-
bankWidth
public static int bankWidth
-
MAX_DURABILITY
public static int MAX_DURABILITY
-
MAX_TIREDNESS
public static float MAX_TIREDNESS
-
-
Constructor Detail
-
Boat
public Boat(float yPosition, int width, int height, Lane[] lanes, int laneNo, java.lang.String name)
Creates an instance of the player boat.- Parameters:
yPosition
- Y-position of the boat.width
- Width of the boat.height
- Height of the boat.lanes
- Lanes for the boat.laneNo
- Lane number for the boat.name
- Name of the boat.
-
-
Method Detail
-
SteerLeft
public void SteerLeft()
Decreases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.
-
SteerRight
public void SteerRight()
Increases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.
-
MoveForward
public void MoveForward()
Increases the y-position of the boat respective to the boat's speed, and decreases the speed by 0.08%.
-
IncreaseSpeed
public void IncreaseSpeed()
If the boat has enough stamina, increase the speed of the boat by the boat's acceleration, if not, do nothing.
-
DecreaseSpeed
public void DecreaseSpeed()
Decreases the speed of the boat by 0.015 if the resulting speed is greater than 0.
-
CheckCollisions
public boolean CheckCollisions(int backgroundOffset)
Checks each obstacle in the Lane for a collision.- Parameters:
backgroundOffset
- How far up the course the player is.- Returns:
- Boolean representing if a collision occurs.
-
ApplyDamage
public boolean ApplyDamage(int obstacleDamage)
Decreases the durability of the boat by the obstacle damage divided by the boat's robustness.- Parameters:
obstacleDamage
- Amount of damage an Obstacle inflicts on the boat.- Returns:
- Boolean representing whether the durability of the boat is below 0.
-
CheckIfInLane
public boolean CheckIfInLane()
Checks if the boat is between the left boundary and the right boundary of the Lane.- Returns:
- Boolean representing whether the Boat is in the Lane.
-
UpdateFastestTime
public void UpdateFastestTime(float elapsedTime)
Updates the boat's fastest time.- Parameters:
elapsedTime
- Time it took the boat to finish the current race.
-
IncreaseTiredness
public void IncreaseTiredness()
Increases the tiredness of the boat by 0.75 if the tiredness is less than 100.
-
DecreaseTiredness
public void DecreaseTiredness()
Decreases the tiredness of the boat by 1 if the tiredness is greater than 0.
-
AdvanceTextureFrame
public void AdvanceTextureFrame()
Keeps track of which frame of the animation the boat's texture is on, and sets the texture accordingly.
-
GenerateTextureFrames
public void GenerateTextureFrames(char boatName)
Generates all frames for animating the boat.- Parameters:
boatName
- Boat name, used to get correct asset.
-
ChooseBoat
public void ChooseBoat(int boatNo)
Assigns the selected boat template to the boat.
This includes stats and texture.
- Parameters:
boatNo
- Number of the boat template selected.
-
ChooseBoat
public void ChooseBoat(char boatChar)
Assigns the selected boat template to the boat.
This includes stats and texture.
- Parameters:
boatChar
- Character of the boat template selected.
-
Reset
public void Reset()
Resets necessary stats for the next race.
-
ResetFastestLegTime
public void ResetFastestLegTime()
Resets the boat's fastest leg time.
-
setTexture
public void setTexture(com.badlogic.gdx.graphics.Texture t)
- Parameters:
t
- Texture to use.
-
setTextureFrames
public void setTextureFrames(com.badlogic.gdx.graphics.Texture[] frames)
- Parameters:
frames
- Texture frames for animation.
-
getFastestTime
public float getFastestTime()
- Returns:
- Float representing fastest race/leg time.
-
getX
public int getX()
- Returns:
- Int representing x-position of boat.
-
getY
public int getY()
- Returns:
- Int representing y-position of boat.
-
getHeight
public int getHeight()
- Returns:
- Int representing the y coordinate range of the boat (length).
-
getName
public java.lang.String getName()
- Returns:
- String representing name of the boat.
-
finished
public boolean finished()
- Returns:
- Boolean representing if the boat has finished the current race.
-
setFinished
public void setFinished(boolean f)
- Parameters:
f
- Boolean representing if the boat has finished the race.
-
getCurrentSpeed
public float getCurrentSpeed()
- Returns:
- Float representing the current speed of the boat.
-
getProgress
public float getProgress(int finishY)
- Parameters:
finishY
- Y-position of the finish line.- Returns:
- Float representing the progress of the boat from 0 to 1.
-
setStats
public void setStats(float maxspeed, int robustness, float acceleration, float maneuverability)
Implicitly sets the stats of the boat, given each attribute.- Parameters:
maxspeed
- Top speed the boat can reach.robustness
- How resilient to obstacle damage the boat is.acceleration
- How much the speed increases each frame.maneuverability
- How easily the boat can move left or right.
-
setStats
public void setStats(char boatLabel)
Interpolates predetermined stats from a boat label, and sets the stats based on those.- Parameters:
boatLabel
- A character between A-G representing a specific boat.
-
getManeuverability
public float getManeuverability()
- Returns:
- Float representing the maneuverability of the boat.
-
getAcceleration
public float getAcceleration()
- Returns:
- Float representing the acceleration of the boat.
-
getRobustness
public int getRobustness()
- Returns:
- Int representing the robustness of the boat.
-
getDurability
public int getDurability()
- Returns:
- Int representing the durability of the boat.
-
getMaxSpeed
public float getMaxSpeed()
- Returns:
- Int representing the maximum speed of the boat.
-
getTiredness
public float getTiredness()
- Returns:
- Float representing the tiredness of the boat crew.
-
getPenalty
public float getPenalty()
- Returns:
- Float representing the time penalty incurred for the current race.
-
applyPenalty
public void applyPenalty(float penalty)
- Parameters:
penalty
- Float to add to the boat's penalty total for the current race.
-
setLane
public void setLane(Lane[] lanes, int laneNo)
- Parameters:
lanes
- Lanes object for the boat.laneNo
- This boat's lane number.
-
-


{% extends "base.html" %} {% load staticfiles %} {% load i18n %} {% block css %} {% endblock css %} {% block page_title %}Digital Greendoors{% endblock %} {% block body_class %}{{ block.super }}{% endblock %} {% block content %}
Please contact Elaine if you have any questions about Digital Green Doors or if you would like to participate in the research project.
Drop Dan a line if you are having technical problems with the Greendoors app.


Red5 Pro HTML5 HLS Example
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$UID
User ID number
Current user's user identification number, as recorded in /etc/passwd
This is the current user's real id, even if she has temporarily assumed another identity through su. $UID is a readonly variable, not subject to change from the command line or within a script, and is the counterpart to the id builtin.
Examples
#!/bin/bash
# am-i-root.sh: Am I root or not?
ROOT_UID=0 # Root has $UID 0.
if [ "$UID" -eq "$ROOT_UID" ] # Will the real "root" please stand up?
then
echo "You are root."
else
echo "You are just an ordinary user (but mom loves you just the same)."
fi
exit 0
# ============================================================= #
# Code below will not execute, because the script already exited.
# An alternate method of getting to the root of matters:
ROOTUSER_NAME=root
username=`id -nu` # Or... username=`whoami`
if [ "$username" = "$ROOTUSER_NAME" ]
then
echo "Rooty, toot, toot. You are root."
else
echo "You are just a regular fella."
fi
Note
The variables $ENV, $LOGNAME, $MAIL, $TERM, $USER, and $USERNAME are not Bash builtins. These are, however, often set as environmental variables in one of the Bash or login startup files. $SHELL, the name of the user's login shell, may be set from /etc/passwd or in an "init" script, and it is likewise not a Bash builtin.
tcsh% echo $LOGNAME
bozo
tcsh% echo $SHELL
/bin/tcsh
tcsh% echo $TERM
rxvt
bash$ echo $LOGNAME
bozo
bash$ echo $SHELL
/bin/tcsh
bash$ echo $TERM
rxvt


Integrating Section 508 into automation testing...
This group of repositories present examples of integrating Section 508/accessibility into test automation. Multiple, open source vendor tools are represented in the examples below.
The following folders and repositories present examples of axe core library accessibility test automation:
The following folders and repositories present examples of the Pa11y test engine:
The following folders and repositories present examples of the lighthouse test engine:


IPv4 or IPv6 can be forced by using 4.ifconfig.sexy or 6.ifconfig.sexy respectively.
© 2014 Daniel Kempkens


Ph.D. Student | Earth and Environmental Science Department | University of Pennsylvania
Ice Mechanics | Rheology | Ice Physics Lab
Maria Micaela Ninni


Class is same but in lowercase prefixed with bg-
(for background)
| Color name | Hex value |
|---|---|
| Red | #FF0000 |
| Orange | #FFA500 |
| Yellow | #FFFF00 |
| Green | #008000 |
| Blue | #0000FF |
| Purple | #4B0082 |
Import: https://brunozhon.github.io/otter/cdn/bcss/1.0.0/colors.css
See CSS file
Class: ninteen-living-coral
Class: ninteen-chilli-pepper
Class: ninteen-biking-red
Class: ninteen-creme-de-peche


% include 'lib/views/blocks/layout/_head' %>
class="is-active"<% end %>>
NightlyBuild 2017
class="is-active"<% end %>>
Schedule
class="is-active"<% end %>>
Speakers
class="is-active"<% end %>>
Partners
class="is-active"<% end %>>
Location
class="is-active"<% end %>>
Coverage
class="is-active"<% end %>>
At The Event
2017
2016
2015
2014
NightlyBuild
2017
.
Cologne, Germany.
Theaterhaus
.
September, 01st
2017
.
<% if @page != 'partners' : %> <% end %>
A hand-crafted after work conference for web enthusiasts loving technology, design and inspiration in Cologne, Germany.
<% content %>
<% include 'lib/views/blocks/layout/_foot' %>


Returns all of the text contained within the message.
Returns the background associated with the message; this is the background
Returns the background type of the choice window.
Returns the position of the choice window.
Returns the face index within the face image to display the correct face.
Returns the name of the face image used for the message.
Returns true if the game message object has text.
Returns true if the game message object has text, choices, number input, or item choice.
Returns true if the game message object has a set of choices.
Returns true if the game message object has an item choice attached.
Returns true if the game message object has a number input attached.
Returns the item choice item type id.
Returns the item choice variable id.
Creates a new page for the text within the message window.
Returns the number input maximum digits.
Returns the number input variable id.
Returns the current position type of the message window.
Returns true if the scroll mode is set to true.
Returns true if the scroll is set to not being fast.
Returns the scroll speed.
Sets the background of the message window; options are 0 (fully opaque), 1 (transparent), 2 (invisible background). The default is 0.
Sets a callback to be associated with a specific choice; a callback is a JavaScript function that will be run when the choice is selected.
Sets the position of the choice window associated with the message window.
Sets the choices within the choice window; sets the default and cancel choices for the window.
Sets the choice and associates it with a variable id; sets the itemtype id associated with the choice.
Sets the number input and associates it with a variable id; the max number of digits can also be set.
Sets the position of the message window; default is 2.
Sets the scroll speed of the message window; disable fast movement if noFast is set to true.
Generated using TypeDoc
Adds text to the game message object.
Game_Message


It's time to write your first application! The following instructions are for users of Windows XP Professional, Windows XP Home, Windows Server 2003, Windows 2000 Professional, and Windows Vista. Instructions for other platforms are in "Hello World!" for Solaris OS and Linux and "Hello World!" for the NetBeans IDE.
If you encounter problems with the instructions on this page, consult the Common Problems (and Their Solutions).
The Java SE Development Kit 6 (JDK 6)
You can download the Windows version now. (Make sure you download the JDK, not the JRE.) Consult the installation instructions.
A text editor
In this example, we'll use Notepad, a simple editor included with the Windows platforms. You can easily adapt these instructions if you use a different text editor.
These two items are all you'll need to write your first application.
Your first application, HelloWorldApp
,
will simply display the greeting "Hello world!". To create this
program, you will:
Create a source file
A source file contains code, written in the Java programming language, that you and other programmers can understand. You can use any text editor to create and edit source files.
Compile the source file into a .class file
The Java programming language compiler (javac
)
takes your source file and translates its text into instructions
that the Java virtual machine can understand.
The instructions contained within this file are known as bytecodes.
Run the program
The Java application launcher tool (java
) uses
the Java virtual machine to run your application.
To create a source file, you have two options:
You can save the file
on your computer and avoid a lot of typing. Then, you can go straight
to Compile the Source File into a HelloWorldApp.java
.class
File.
Or, you can use the following (longer) instructions.
First, start your editor. You can launch the Notepad editor from the Start menu by selecting Programs > Accessories > Notepad. In a new document, type in the following code:
/** * The HelloWorldApp class implements an application that * simply prints "Hello World!" to standard output. */ class HelloWorldApp { public static void main(String[] args) { System.out.println("Hello World!"); // Display the string. } }
Type all code, commands, and file names exactly
as shown. Both the compiler (
|
Save the code in a file with the name
HelloWorldApp.java
.
To do this in Notepad,
first choose the File > Save As menu item.
Then, in the Save As dialog box:
java
on the C
drive."HelloWorldApp.java"
, including the quotation marks.The Save As dialog just before you click Save.
Now click Save, and exit Notepad.
Bring up a shell, or "command," window.
You can do this from the Start menu
by choosing
Command Prompt (Windows XP), or by choosing
Run... and then entering cmd
.
The shell window should look similar to
the following figure.
A shell window.
The prompt shows your current directory. When you bring up the prompt, your current directory is usually your home directory for Windows XP (as shown in the preceding figure.
To compile your source file, change
your current directory to the directory where your file is located.
For example, if your source directory is
java
on the C
drive,
type the following command at the prompt and press
Enter:
cd C:\java
Now the prompt should change to C:\java>
.
java
directory
on the D
drive, you must enter D:
,
as shown in
the following figure.
Changing directory on an alternate drive.
If you enter dir
at the prompt, you should see your source file,
as
the following figure shows.
Directory listing showing the .java
source file.
Now you are ready to compile. At the prompt, type the following command and press Enter.
javac HelloWorldApp.java
The compiler has generated a bytecode file, HelloWorldApp.class
.
At the prompt, type
dir
to see the new file that was generated,
as shown in
the following figure.
Directory listing, showing the generated .class
file
Now that you have a .class
file,
you can run your program.
If you encounter problems with the instructions in this step, consult the Common Problems (and Their Solutions).
java HelloWorldApp
The next figure shows what you should now see:
The program prints "Hello World!" to the screen.
Congratulations! Your program works!
If you encounter problems with the instructions in this step, consult the Common Problems (and Their Solutions).


In the previous section we had a look at what a perceptron looks like, how it receives inputs, applies a linear combination, and if that linear combination is greater than or less than some threshold, an output of 0 or 1 is produced respectively. In order to make things simpler for training purposes, a few changes need to be made to our perceptron. Firstly, the threshold is normally moved to the other side of the inequality and renamed as the neuron’s bias, b ≡ − threshold. Secondly, ∑i wi xi is generally rewritten as a dot product, w ⋅ x ≡∑i wi xi, where W and X are vectors comprised of weights and inputs respectively. These changes are illustrated below:
The best way to think of the bias is how easy it is to get the neuron to output a 1. The bigger the bias, the easier it is for the neuron to output a 1 (fire if you will) , however, if the bias is very negative, then it is difficult for the perceptron to output a 1. The formula above is simply another way of describing the activation function we saw in the last section, the Heaviside step function:
This is just one of several activation functions used in deep learning, it is also the simplest. Other activation functions include the Sigmoid, ReLu, Tanh, Linear, and Softmax functions, each with their own specialised purpose. Given our current problem of handwritten number recognition, suppose we have a network of perceptrons that we’d like to use in order to solve this problem. Ideally, we’d like the network to learn weights and biases so that the output from the network correctly classifies the input number. In order to make learning possible we’d like for some small change in either a weight or bias to cause only a small corresponding change in the final output. For example, suppose the network was mistakenly classifying an image of a “7” as a “1”. We could figure out how to make a small change in the weights and biases so that the network gets a little closer to classifying the image as a “7”. We would then repeat this over and over to produce an increasingly accurate output. This would be the network learning.
Unfortunately, this isn’t what happens when our network is composed of perceptrons. In fact, a small change to the weights or bias of any single perceptron can cause the output of that perceptron to completely flip, from 0 to 1 or vise versa. Such a flip may then cause the behaviour of the rest of the network to drastically change in a chaotic cascading manner. So while the “7” might now be classified correctly, all other inputs are likely to produce completely different results. As a result, it is difficult to see how we can gradually modify weights and biases to approach the desired behaviour. It turns out we can overcome this problem by simply modifying our perceptrons to create a new type of artificial neuron called a sigmoid neuron. The only difference between them is that a perceptron uses the Heaviside step function, whereas, a sigmoid neuron uses the Sigmoid function. So what’s the difference between the two activation functions? Simply put, the sigmoid function is a continuous function, allowing inputs/outputs between 0 and 1, unlike the the Heaviside step function which only accepts 0 or 1. Below is a Sigmoid function:
What advantage does this continuity offer? Well for a start it means that the output can be considered as a probability of success, or a yes. For example, an output of 0.5 means the network “has no idea” whether it’s a yes or no, while an output of 0.8 means the network is “pretty sure” it’s a yes. As it turns out, this feature is particularly important if you want the network to be able to learn.


A Northeastern University Graduate student.
Have more than 5 years' C++ development experience with 1 year in professional environment
Have worked for a game company in China for 8 months, which gave me the experience of professional game development as well as the programming knowledge of OpenGL, PS3 and Xbox360, also worked in EMC and Avaya in USA, with full of industrial experience.
I'm a versatile developer with experience in C/C++ (most fluent), Java, C#, Python, JavaScript, etc, with multiple projects done in or out of the work.


Boolean Function
Table of contents
- Introduction
- Truth Table Formation
- Sum of Product Expressions (SOP)
- Example Algebraic Simplification
- Undefined Input & Don’t Cares
- Let us try this interactive truth table generator for better understanding
- Methods to simplify the boolean function
Introduction
Boolean algebra deals with binary variables and logic operation. A Boolean Function is described by an algebraic expression called Boolean expression which consists of binary variables, the constants 0 and 1, and the logic operation symbols. Consider the following example.
Example:
F(A,B,C,D) = A + BC + !(ADC)
Boolean Function Boolean expression
Here the left side of the equation represents the output Y. So we can state
Y = A + BC + !(ADC)
Boolean Function Boolean expression
Truth Table Formation
A truth table represents a table having all combinations of inputs and their corresponding result.
It is possible to convert the switching equation into a truth table. For example, consider the following switching equation.
| A | B | C | F |
|---|---|---|---|
| 0 | 0 | 1 | 0 |
| 0 | 1 | 0 | 0 |
| 0 | 1 | 1 | 0 |
| 0 | 1 | 1 | 1 |
| 1 | 0 | 1 | 1 |
| 1 | 1 | 0 | 1 |
| 1 | 1 | 1 | 1 |
| 1 | 1 | 1 | 1 |
Sum of Product Expressions (SOP)
Let’s consider a more complicated expression F(ABCD)= AB'C+BD+CD+D
and generate its truth table:
| F(AB’C+BD+CD+D) | A | B | C | D |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 1 |
| 0 | 0 | 0 | 1 | 0 |
| 1 | 0 | 0 | 1 | 1 |
| 0 | 0 | 1 | 0 | 0 |
| 1 | 0 | 1 | 0 | 1 |
| 0 | 0 | 1 | 1 | 0 |
| 1 | 0 | 1 | 1 | 1 |
| 0 | 1 | 0 | 0 | 0 |
| 1 | 1 | 0 | 0 | 1 |
| 0 | 1 | 0 | 1 | 0 |
| 1 | 1 | 0 | 1 | 1 |
| 1 | 1 | 1 | 0 | 0 |
| 1 | 1 | 1 | 0 | 1 |
| 0 | 1 | 1 | 1 | 0 |
| 1 | 1 | 1 | 1 | 1 |
This example was definately more involved than the previous expressions. An interesting observation is that we are doing a sum of product evaluation, that is, AB'C+BD+CD+D
is a sum of products. The significance of a sum of product is that when we are doing +
we are in fact invoking the OR
operator.
Moreover, the OR
operator returns true
so long as any one of its arguements returns true
. Therefore, if any of the terms in the sum of product (SOP) expressions is true
, then we know that the final expression is true
for certain.
Example Algebraic Simplification
Let’s simplify our expression from the previous truth table example. We can apply ordinary algebra tricks such as factoring. Remember that the +
operator invokes the OR
gate, and that true or x
always returns true
regardless of x
(as shown in our first truth table).
AB'C+BD+CD+D // Initial expression
AB'C+BD+D(C+1) // Factor out a D
AB'C+BD+D // Since (C+1) is always true, as C OR true is always true
AB'C+D(B+1) // Factor out a D again
AB'C+D // Since (B+1) is always true, as B OR true is always true
=AB'C+D // Final expression
As an exercise to the reader, complete the truth table to show that they are logically equivalent.
Undefined Input & Don’t Cares
The definition of a “Don’t care” is a combination of input values that is not known, and could be either 0
or 1
. For the purposes of variable simplification, we would choose the greedy approach of picking between {0
, 1
} such that the simplified expression has less terms.
Let’s consider the following truth-table:
| F(AB) | A | B |
|---|---|---|
| 1 | 0 | 0 |
| 1 | 0 | 1 |
| ? | 1 | 0 |
| 1 | 1 | 1 |
We observe that we have a Don’t care. Let’s observe the differences in cases for F(1,0)
:
Case #1: F(1, 0) = 0
=> F(AB) = A'B' + A'B + AB
Case #2: F(1, 0) = 1
=> F(AB) = A'B' + A'B + AB' + AB
Simplifying the cases...
F(AB) = A'B' + A'B + AB
= A'(B' + B) + AB
= A' + AB
F(AB) = A'B' + A'B + AB' + AB
= A'(B' + B) + A (B' + B)
= A' + A
= 1
We can clearly see, if we set F(1, 0) = 1
, we get a true value for any input. Therefore, for the purposes of variable simplification, we can simply let F(1, 0) = 1
thus implying F(AB) = 1
.
Let us try this interactive truth table generator for better understanding
Truth Table Generator
Enter your boolean logic expression in the following format:
AND = AB
OR = A+B
NOT = A'
NAND = (AB)'
NOR = (A+B)'
Methods to simplify the boolean function
The methods used for simplifying the Boolean function are as follows −
- Karnaugh-map or K-map
- NAND gate method.


{% if messages %}
{% for message in messages %}
{% endif %}
{% if error_msg is not None %}
{{ message|safe }}
{% endfor %}
{{error_msg|safe}}
{% endif %}
Records Board
{% for rec in records %}
{% empty %}
No More Records Found. Please wait records will be assigned to you shortly as the previously assigned records to you,
are yet to be scrutinized and approved.
{% endfor %}


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Npt documentation.
Reference: ANSI Common Lisp npt
Prev: 1. Installation
Next: 3. Arguments
Compiling all the *.c
files in the src
directory creates the executable file.
A simple example is as follows.
$ cc src/*.c -lm
$ ./a.out --version
npt Version 1.0.2
...
Lisp mode ANSI-C
...
However, if you compile in this way, the program will be compiled in ANSI-C
mode, which is a feature-reduced mode. Because of the reduced functionality, It is not possible to use all the features of Common Lisp.
To use all the features, you need to specify the environment type at compile time. The available environments are as follows
| Environment | #define | Features |
|---|---|---|
| FreeBSD | LISP_FREEBSD |
All available |
| Linux | LISP_LINUX |
All available |
| Windows | LISP_WINDOWS |
All available |
| ANSI-C | LISP_ANSIC (default) |
Reduced |
When compiling with FreeBSD environment, run the following
$ cc -DLISP_FREEBSD src/*.c -lm
$ ./a.out --version
npt Version 1.0.2
...
Lisp mode FreeBSD
...
In a normal compilation, npt is created in release mode. If you specify LISP_DEBUG
, then the npt is compiled in debug mode.
For example
$ cc -DLISP_DEBUG -DLISP_FREEBSD src/*.c -lm
$ ./a.out --version
npt Version 1.0.2
...
Release mode debug
...
The difference between the debug and release modes is the number of checks.
In the debug mode, there are codes of checks everywhere and if the checks are violated, the program is forced to stop.
Release mode, on the other hand, runs faster than debug mode because of its fewer checks.
You don’t need debug mode to use it as Lisp. If you are going to embed npt into C, it is better to specify LISP_DEBUG
at least at the development stage.
editline
and readline
are modules that are used to receive input from the prompt.
editline
is installed by default on FreeBSD. readline
is not included by default, but readline
is often used on Linux.
The values of #define
are as follows.
| Module | #define | Link |
|---|---|---|
| terme | LISP_TERME |
|
| editline | LISP_EDITLINE |
-ledit |
| readline | LISP_READLINE |
-lreadline |
| stdin | LISP_STDIN |
Terme is a feature of the npt prompt.
It is used by default on FreeBSD and Linux.
The editline and readline are external modules that require installation to use.
stdin simply reads from standard input.
It cannot use history or cursor movement.
Here’s an example of a compilation.
$ cc -DLISP_FREEBSD -DLISP_EDITLINE src/*.c -lm -ledit
$ ./a.out --version
npt Version 1.0.2
...
Prompt mode editline
...
Local memory is a memory stack which is different from the heap area. The memory in the heap region is allocated in bulk at startup, but local memory allows you to specify how to allocate memory.
Normally, allocating local memory as well as heap is done in one step.
If you specify LISP_MEMORY_MALLOC
at compile time, local memory allocation will be done by malloc
each time it is requested.
Bulk allocation is faster, and LISP_MEMORY_MALLOC
seems to be a little slower.
If LISP_MEMORY_MALLOC
is specified, Debug Memory true
appears in the --version
of the npt
command.
The garbage collector is a function to clean out the memory in the heap area.
npt
monitors the usage of the heap area and if it is determined that the memory is being overwhelmed, the garbage collector will be executed at some point.
If LISP_DEBUG_FORCE_GC
is given at compile time, then it will go into garbage collector forced execution mode and the garbage collector will run at all possible times.
This mode is very slow.
The significance of this mode is to check if memory corruption occurs while developing in C language.
If you use ANSI-C mode on Windows, there is a problem that ANSI C language features are not enough to handle Unicode filenames.
In such a case, use LISP_ANSIC_WINDOWS
mode instead of LISP_ANSIC
. This mode uses _wfopen
instead of fopen
to open files, so it can handle Unicode filenames without problems.
On Windows, you can choose whether the startup function is set to main
(the standard C language) or WinMain
(Win32API). mpt
uses the main
function usually, but you can change it by defining.
| Function | #define |
|---|---|
main |
LISP_CONSOLE (default) |
WinMain |
LISP_WINMAIN |
It just switches the startup function and is not different as a function.
The npt source code can be compiled with a C++ compiler.
The compilation is done as follows
$ c++ -Wno-deprecated src/*.c
The argument, -Wno-deprecated
, is used to suppress the warning when compiling the file *.c
with the C++ compiler. Confirmation can be done with *features*
.
$ ./a.out
*features*
(:LONG-FLOAT-80 :CPLUSPLUS :MATH-INACCURACY :NPT-64-BIT :NPT :64-BIT
:ARCH-64-BIT :NPT-ANSI-C :ANSI-C :COMMON-LISP :ANSI-CL)
The *features*
contains :CPLUSPLUS
.
Although there is almost no difference between C compiler and C++ compiler, some parts of the code using setjmp
are changed to try / catch
.
Degrade mode is a mode for testing in C. Although this mode is activated by specifying LISP_DEGRADE
, it is not possible to compile simply because the source files are not only in src
, but also in test
.
Normally, you’ll rarely need this mode. If you want to compile it, consider using the debug
specification such as freebsd_debug.sh
.
The function number is a number to register the function pointer of C language. The number of function pointers that can be registered is 32 by default, but can be changed by specifying LISP_POINTER_EXTEND
. The following is an example of how to change the number of function numbers to 128.
$ cc -DLISP_POINTER_EXTEND=128 src/*.c -lm
In this example, the range of function numbers is 0-127. For more information on how to use function numbers, please refer to 4. Registering Functions.


International Academy of Yoga & Sports Science ( IAYSS ) is an online edtech platform with a focus on providing holistic health related online courses. IAYSS helps people to become a certified yoga teacher and provides access to the platform on where they can teach & practice yoga confidently from anywhere in the world.
IAYSS Responsive Web App Design
Team : Akash Raje, Sangram Bhandari
Feb 2021 - Ongoing
User flows
Information Architechture
Wireframing
Interaction Design, UI Design
UI Design
Studies have shown that yoga can decrease the secretion of primary stress hormone, which in turn can improve your overall health.
The aim of the project is to bring awareness about Yoga’s benefits in the current world using an online community platform and help people cope with stress and improve their health holistically.
IAYSS visions to improve Yoga education quality and make it accessible for all, the goal is to provide professional teacher training courses at reasonable cost and provide a platform for yoga teachers where they can teach yoga with their live sessions and manage their Yoga courses.
The challenge was to come up with the user journeys and flows for various tasks e.g. Take a yoga course on IAYSS web app, Join a live class. These tasks had to be done while keeping the budget restrictions and time constraint in mind as the project was in rapid development.
How might we make the process of booking a personal yoga class with a teacher an efficient & enjoyable experience while creating a feeling of personalization.
I started with competitors analysis and usability tests with competitors products that helped me in understanding the ways to design task flow which are relevant to in this context and drafted out rough task flows and eventually moved on to create sitemap to get a clear view of depth of the web app.
Quick sketches of flows enabled me to visualize how the tasks are going to be performed by the students and teachers, following that we decided implement two different user journeys i.e. for yoga teacher & student combined in the same web app rather than creating a separate portal for teachers which was initially decided.
Rough flows for visualization
Now It was time to create wireframes and iterate by conducting the usability tests, then find the problems and come up with the best solutions insprired by the relevant products and how they have tackled the similar sets of problems.
After solving UI issues that were found during tests, the design guidelines were finalized and it was time to jump on UI designing and Interactions.
I designed various screens using adobe XD which I find quite flexible.
• I learned how important it is to approach the design for mobile devices first and sequentially work for bigger screen devices, to avoid difficulties with the responsive design.
• Consistency and standards in design bring familiarity in tasks for the users and making visual style guide for UI is essential before move on to actual design.
• Users perceive an attractive design as more usable and useful, and it is important to balance the form and function while keeping business side of the product in mind.
Due to a Non-Disclosure Agreement with the firm, I wont be able to share more details about the project but I’d be glad to discuss about it offline.
A Product of Dafter Inc.