Queens Wharf in festive spirit as 11-metre tall Christmas tree set up
Newcastle's waterfront has taken on a more festive look after the city's council installed an 11-metre tall Christmas tree at Queens Wharf on the weekend.
The tree is adorned by more than 4300 lights and 350 decorations and will be lit for the first time on Sunday night.
"Novocastrians love getting into the Christmas spirit, which is why we see thousands of people flock to see Christmas lights and sing carols at events across the city and region," lord mayor Nuatali Nelmes said.
"Novocastrians will appreciate the sight of the tree by the harbour, especially at night.
"It's sure to become a major drawcard, bringing families into the city.
"As we get closer to Christmas, it will be home to carollers and maybe even visits from Santa, creating family-friendly fun for visitors to the city centre."
The tree will be up until January 7.
City of Newcastle says it will be installed in the city centre annually for the next eight years.
Meanwhile Lake Macquarie City Council will offer Christmas themed workshops on December 1 at Ulinga Park Community Hall, Cardiff South.
On offer is:
- Wreath making
- Wax wraps
- Kombucha demonstration
- Vegan body butter
For more details on times and workshops or to book your spot visit eventbrite.com.au.


This page describes the support status of the significant versions of AngularJS.
Any version branch not shown in the following table (e.g. 1.6.x) is no longer being developed.
| Version | Status | Comments |
|---|---|---|
| 1.2.x | Security patches only | Last version to provide IE 8 support |
| 1.7.x | Long Term Support | See Long Term Support section below. |
On July 1st 2018, AngularJS entered a Long Term Support period for AngularJS.
We now focus exclusively on providing fixes to bugs that satisfy at least one of the following criteria:
AngularJS 1.2.x will get a new version if and only if a new severe security issue is discovered.
You can read more about these plans in our blog post announcement.


--- layout: post title: "Types as sets" description: "To a certain degree, you can think of static types as descriptions of sets." date: 2021-11-15 6:37 UTC tags: [Software Design] image: "/content/binary/not-function-set-diagram.png" image_alt: "Boolean negation set diagram." --- {% include JB/setup %}
{{ page.description }}
If you've ever worked with C#, Java, F#, Haskell, or other compiled languages, you've encountered static types in programming. In school, you've probably encountered basic set theory. The two relate to each other in illuminating ways.
To be clear, I'm neither a mathematician nor a computer scientist, so I'm only basing this article on my layman's understanding of these topics. Still, I find some of the correspondences to be useful when thinking about certain programming topics.
What's the simplest possible set? For various definitions of simple, probably the empty set. After that? The singleton set. We'll skip these, and instead start with a set with two elements:
If you had to represent such a set in code, how would you do it?
First, you'd have to figure out how to distinguish the two elements from each other. Giving each a label seems appropriate. What do you call them? Yin and yang? Church and state? Alice and Bob?
And then, how do you represent the labels in code, keeping in mind that they somehow must 'belong to the same set'? Perhaps as an enum
?
public enum Dualism { Yin, Yang }
As a data definition, though, an enum
is a poor choise because the underlying data type is an integer (int
by default). Thus, a method like this compiles and executes just fine:
public Dualism YinOrYang() { return (Dualism)42; }
The Dualism
returned by the function is neither Yin
nor Yang
.
So, how do you represent a set with two elements in code? One option would be to Church encode it (try it! It's a good exercise), but perhaps you find something like the following simpler:
public sealed class Dualism { public static readonly Dualism Yin = new Dualism(false); public static readonly Dualism Yang = new Dualism( true); public Dualism(bool isYang) { IsYang = isYang; } public bool IsYang { get; } public bool IsYin => !IsYang; }
With this design, a method like YinOrYang
can't cheat, but must return either Yin
or Yang
:
public Dualism YinOrYang() { return Dualism.Yin; }
Notice that this variation is based entirely off a single member: IsYang
, which is a Boolean value.
In fact, this implementation is isomorphic to bool
. You can create a Dualism
instance from a bool
, and you can convert that instance back to a Boolean value via IsYang
, without loss of information.
This holds for any two-element set: it's isomorphic to bool
. You could say that the data type bool
is equivalent to 'the' two-element set.
Is there a data type that corresponds to a three-element set? Again, you can always use Church encoding to describe a data type with three cases, but in C#, the easiest backing type would probably be bool?
(Nullable<bool>
). When viewed as a set, it's a set inhabited by the three values false
, true
, and null
.
How about a set with four elements? A pair of Boolean values seems appropriate:
public sealed class Direction { public readonly static Direction North = new Direction(false, false); public readonly static Direction South = new Direction(false, true); public readonly static Direction East = new Direction( true, false); public readonly static Direction West = new Direction( true, true); public Direction(bool isEastOrWest, bool isLatter) { IsEastOrWest = isEastOrWest; IsLatter = isLatter; } public bool IsEastOrWest { get; } public bool IsLatter { get; } }
The Direction
class is backed by two Boolean values. We can say that a four-element set is isomorphic to a pair of Boolean values.
How about a five-element set? If a four-element set corresponds to a pair of Boolean values, then perhaps a pair of one Boolean value and one Nullable<bool>
?
Alas, that doesn't work. When combining types, the number of possible combinations is the product, not the sum, of individual types. So, a pair of bool
and bool?
would support 2 × 3 = 6 combinations: (false, null)
, (false, false)
, (false, true)
, (true, null)
, (true, false)
, and (true, true)
.
Again, a Church encoding (try it!) is an option, but you could also do something like this:
public sealed class Spice { public readonly static Spice Posh = new Spice(0); public readonly static Spice Scary = new Spice(1); public readonly static Spice Baby = new Spice(2); public readonly static Spice Sporty = new Spice(3); public readonly static Spice Ginger = new Spice(4); private readonly int id; private Spice(int id) { this.id = id; } public override bool Equals(object obj) { return obj is Spice spice && id == spice.id; } public override int GetHashCode() { return HashCode.Combine(id); } }
This seems like cheating, since it uses a much larger underlying data type (int
), but it still captures the essence of a set with five elements. You can't add more elements, or initialise the class with an out-of-range id
since the constructor is private.
The point isn't so much how to implement particular classes, but rather that if you can enumerate all possible values of a type, you can map a type to a set, and vice versa.
Which type corresponds to this set?
I hope that by now, it's clear that this set could correspond to infinitely many types. It's really only a matter of what we call the elements.
If we call the first element 0
, the next one 1
, and then 2
, 3
, and so on up to 255
, the set corresponds to an unsigned byte. If we call the elements -128
, -127
, -126
up to 127
, the set corresponds to a signed byte. They are, however, isomorphic.
Likewise, a set with 65,536 elements corresponds to a 16-bit integer, and so on. This also holds for 32-bit integers, 64-bit integers, and even floating point types like float
and double
. These sets are just too large to draw.
While most languages have built-in number types based on a fixed number of bytes, some languages also come with number types that support arbitrarily large numbers. .NET has BigInteger, Haskell comes with Integer
, and so on. These numbers aren't truly infinite, but are limited by machine capacity rather than the data structure used to represent them in memory.
Another example of a type with arbitrary size is the ubiquitous string
. There's no strict upper limit to how large strings you can create, although, again, your machine will ultimately run out of memory or disk space.
Theoretically, there are infinitely many strings, so, like BigInteger
, string
corresponds to an infinite set. This also implies that string
and BigInteger
are isomorphic, but that shouldn't really be that surprising, since everything that's happening on a computer is already encoded as (binary) numbers - including strings.
Any class that contains a string
field is therefore also isomorphic to an (or the?) infinite set. Two string
fields also correspond to infinity, as does a string
field paired with a bool
field, and so on. As soon as you have just one 'infinite type', the corresponding set is infinite.
How about static types (classes) that use one or more built-in types as backing fields, but on top of that impose 'business rules'?
This one, for example, uses a byte
as a backing field, but prohibits some values:
public sealed class DesByte { private readonly byte b; public DesByte(byte b) { if (12 <= b && b <= 19) throw new ArgumentOutOfRangeException(nameof(b), "[12, 19] not allowed."); this.b = b; } }
While this class doesn't correspond to the above 256-element set, you can still enumerate all possible values:
But then what about a class like this one?
public sealed class Gadsby { private readonly string manuscript; public Gadsby(string manuscript) { if (manuscript.Contains('e', StringComparison.OrdinalIgnoreCase)) throw new ArgumentException( "The manuscript may not contain the letter 'e'.", nameof(manuscript)); this.manuscript = manuscript; } }
While the constructor prohibits any string that contains the letter e, you can still create infinitely many string
values even with that constraint.
You can, however, still conceivably enumerate all possible Gadsby
values, although the corresponding set would be infinitely large.
Obviously, this isn't practical, but the point isn't one of practicality. The point is that you can think of types as sets.
So far we've only covered 'values', even though it's trivial to create types that correspond to infinitely large sets.
In type systems, functions also have types. In Haskell, for example, the type Int -> Bool
indicates a function that takes an Int
as input and return a Bool
. This might for example be a function that checks whether the number is even.
Likewise, we can write the type of not
(Boolean negation) as Bool -> Bool
. In a set diagram, we can illustrate it like this:
Each element points to the other one: true points to false, and vice versa. Together, the two arrows completely describe the not
function (the !
operator in C#).
If we remove the original elements (true and false) of the set, it becomes clearer that these two arrows also form a set.
In general, we can think of functions as sets of arrows, but still sets. Many of these sets are infinite.
Set theory is a branch of mathematics, and so is type theory. Having no formal education in either, I don't claim that types and sets are the same. A quick web search implies that while there are many similarities between types and sets, there are also differences. In this article, I've highlighted some similarities.
Thinking about types as sets can be helpful in everyday programming. In test-driven development, for example, equivalence partitioning provides insights into which test inputs to use. Being able to consider a system under test's inputs as sets (rather than types) makes this easier.
As future articles will cover, it also becomes easier to think about Postel's law and the Liskov substitution principle.
Comments
It is isomorphic to an infinite set. More generally, any class that contains a field of type
T
is isomorphic to a set with cardinality at least at big as the cardinality of the inhabitants ofT
. There are infinite sets with different cardinalities, andstring
is isomorphic to the smallest of these, which is known as countably infinite or Aleph-nought. Any class that contains a field of typestring -> bool
is isomorphic to a set with cardinality at least Aleph-one since that function type is isomorphic to a set with that cardinality.Tyson, thank you for writing. I wasn't kidding when I wrote that I'm not a mathematician. Given, however, that I've read and more or less understood The Annotated Turing, I should have known better. That book begins with a lucid explanation of Cantor's theorem.
Does this practically impact the substance of the present article?
Nope. I think the article is good. I think everything you said is correct. I just wanted to elaborate a bit at the one point where you conveyed some hesitation.


ABAP Quick Fixes - Replace Full Line Comment With Inline Comment
In case you're not fan of full line comments and you prefer to use inline comment, this is the quick fix for you.
It simply replaces * with " in the comment.


Software application:
A novel computer-based set-up to study movement coordination in human ensembles. Alderisio F, Lombardi M, Fiore G, di Bernardo M. In: Frontiers in Psychology, 8:967. 2017. [Download paper]
Control architecture for the Virtual Player:
A novel cognitive architecture for a human-like virtual player in the mirror game. Zhai C, Alderisio F, Tsaneva-Atanasova K, di Bernardo M. In: Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on. IEEE; 2014. p. 754–759. [Download paper]
Adaptive tracking control of a virtual player in the mirror game. Zhai C, Alderisio F, Tsaneva-Atanasova K, di Bernardo M. In: Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on. IEEE; 2014. p. 7005–7010. [Download paper]
A model predictive approach to control the motion of a virtual player in the mirror game. Zhai C, Alderisio F, Tsaneva-Atanasova K, di Bernardo M. In: Decision and Control (CDC), 2015 IEEE 54th Annual Conference on. IEEE; 2015. p. 3175-3180. [Download paper]
Design of a virtual player for joint improvisation with humans in the mirror game. Zhai C., Alderisio F., Slowinski P., Tsaneva-Atanasova K., and di Bernardo M. In: PLoS ONE 11, e0154361; 2016. [Download paper]
Comparing different control approaches to implement a human-like virtual player in the mirror game. Alderisio F., Antonacci D., Zhai C., and di Bernardo M. In: 2016 European Control Conference (ECC), p. 216-221. [Download paper]
Design and validation of a virtual player for studying interpersonal coordination in mirror game. Zhai C., Alderisio F., Slowinski P., Tsaneva-Atanasova K. and di Bernardo M. In: IEEE Transactions on Cybernetics, 2017. [Download paper]
Human group coordination:
Entrainment and synchronization in networks of Rayleigh-van der Pol oscillators with diffusive and Haken-Kelso-Bunz couplings. Alderisio F., Bardy B. G., and di Bernardo M. In: Biological Cybernetics 110, 151–169; 2016. [Download paper]
Interaction patterns and individual dynamics shape the way we move in synchrony. Alderisio F., Fiore G., Salesse R. N., Bardy B. G., and di Bernardo M. In: Scientific Reports 7(6846); 2017 [Download paper]
Individual Motor Signature:
Dynamic similarity promotes interpersonal coordination in joint action. Słowinski P, Zhai C, Alderisio F, Salesse R, Gueugnon M, Marin L, et al. In Journal of The Royal Society Interface 13, 20151093; 2016. [Download paper]
Unravelling socio-motor biomarkers in schizophrenia. Piotr Slowinski, Francesco Alderisio, et al. In: npj Schizophrenia 3(8); 2017. [Download paper]


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PerUserPoolDataSource
and
SharedPoolDataSource
which provide a database connection pool.
See:
Description
| Class Summary | |
| InstanceKeyDataSource | The base class for SharedPoolDataSource and
PerUserPoolDataSource . |
| PerUserPoolDataSource |
A pooling DataSource appropriate for deployment within
J2EE environment. |
| PerUserPoolDataSourceFactory | A JNDI ObjectFactory which creates SharedPoolDataSource s |
| SharedPoolDataSource | A pooling DataSource appropriate for deployment within
J2EE environment. |
| SharedPoolDataSourceFactory | A JNDI ObjectFactory which creates SharedPoolDataSource s |
This package contains two DataSources: PerUserPoolDataSource
and
SharedPoolDataSource
which provide a database connection pool.
Below are a couple of usage examples. One shows deployment into a JNDI system.
The other is a simple example initializing the pool using standard java code.
Most J2EE containers will provide some way of deploying resources into JNDI. The method will vary among containers, but once the resource is available via JNDI, the application can access the resource in a container independent manner. The following example shows deployment into tomcat (catalina).
In server.xml, the following would be added to the <Context> for your webapp:
<Resource name="jdbc/bookstore" auth="Container"
type="org.apache.commons.dbcp.datasources.PerUserPoolPoolDataSource"/>
<ResourceParams name="jdbc/bookstore">
<parameter>
<name>factory</name>
<value>org.apache.commons.dbcp.datasources.PerUserPoolDataSourceFactory</value>
</parameter>
<parameter>
<name>dataSourceName</name><value>java:comp/env/jdbc/bookstoreCPDS</value>
</parameter>
<parameter>
<name>defaultMaxActive</name><value>30</value>
</parameter>
</ResourceParams>
In web.xml. Note that elements must be given in the order of the dtd described in the servlet specification:
<resource-ref>
<description>
Resource reference to a factory for java.sql.Connection
instances that may be used for talking to a particular
database that is configured in the server.xml file.
</description>
<res-ref-name>
jdbc/bookstore
</res-ref-name>
<res-type>
org.apache.commons.dbcp.datasources.PerUserPoolDataSource
</res-type>
<res-auth>
Container
</res-auth>
</resource-ref>
Catalina deploys all objects configured similarly to above within the
java:comp/env namespace. So the JNDI path given for
the dataSourceName parameter is valid for a
ConnectionPoolDataSource
that is deployed as given in the
cpdsadapter example
The DataSource
is now available to the application as shown
below:
Context ctx = new InitialContext();
DataSource ds = (DataSource)
ctx.lookup("java:comp/env/jdbc/bookstore");
Connection con = null;
try
{
con = ds.getConnection();
...
use the connection
...
}
finally
{
if (con != null)
con.close();
}
The reference to the DataSource
could be maintained, for
multiple getConnection() requests. Or the DataSource
can be
looked up in different parts of the application code.
PerUserPoolDataSourceFactory
and
SharedPoolDataSourceFactory
will maintain the state of the pool
between different lookups. This behavior may be different in other
implementations.
Connection pooling is useful in applications regardless of whether they run
in a J2EE environment and a DataSource
can be used within a
simpler environment. The example below shows SharedPoolDataSource using
DriverAdapterCPDS as the backend source, though any CPDS is applicable.
public class Pool
{
private static DataSource ds;
static
{
DriverAdapterCPDS cpds = new DriverAdapterCPDS();
cpds.setDriver("org.gjt.mm.mysql.Driver");
cpds.setUrl("jdbc:mysql://localhost:3306/bookstore");
cpds.setUser("foo");
cpds.setPassword(null);
SharedPoolDataSource tds = new SharedPoolDataSource();
tds.setConnectionPoolDataSource(cpds);
tds.setMaxActive(10);
tds.setMaxWait(50);
ds = tds;
}
public static getConnection()
{
return ds.getConnection();
}
}
This class can then be used wherever a connection is needed:
Connection con = null;
try
{
con = Pool.getConnection();
...
use the connection
...
}
finally
{
if (con != null)
con.close();
}
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X
Type of sequencing
WGS
WES
RNA
miRNA
ChIP
MethyI`
TCR
Single cell
Do you need library prep services?
Yes
No
Do you need sequencing services?
Yes
No
Do you need data analysis?
Yes
No


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clap
S
hihat
D
kick
F
openhat
G
boom
H
ride
J
snare
K
tom
L
tink
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In Figure 2a we see an example of a wave "packet", of finite duration and with a specific frequency. One could imagine using such a shape as our window function for our analysis of variance. This "wavelet" has the advantage of incorporating a wave of a certain period, as well as being finite in extent. In fact, the wavelet shown in Figure 2a (called the Morlet wavelet) is nothing more than a Sine wave (green curve in Figure 2b) multiplied by a Gaussian envelope (red curve).
      Assuming that the total width of this wavelet is about 15 years, we can find the correlation between this curve and the first 15 years of our time series shown in Figure 1. This single number gives us a measure of the projection of this wave packet on our data during the 1876-1890 period, i.e. how much [amplitude] does our 15-year period resemble a Sine wave of this width [frequency]. By sliding this wavelet along our time series one can then construct a new time series of the projection amplitude versus time.
      Finally, one can then vary the "scale" of the wavelet by changing its width. This is the real advantage of wavelet analysis over a moving Fourier spectrum. For a window of a certain width, the sliding FFT is fitting different numbers of waves, i.e. there can be many high-frequency waves within a window, while the same window can only contain a few (or less than one) low-frequency waves. The wavelet analysis always uses a wavelet of the exact same shape, only the size scales up or down with the size of the window.
where s is the "dilation" parameter used to change the scale, and n is the translation parameter used to slide in time. The factor of s-1/2 is a normalization to keep the total energy of the scaled wavelet constant.
where the asterisk (*) denotes complex conjugate.      The above integral can be evaluated for various values of the scale s (usually taken to be multiples of the lowest possible frequency), as well as all values of n between the start and end dates. A two-dimensional picture of the variability can then be constructed by plotting the wavelet amplitude and phase.
      Figure 3 shows the power (absolute value squared) of the wavelet transform for the NINO3 SST data. The (absolute value)2 gives information on the relative power at a certain scale and a certain time. A plot of the amplitude and phase would show the actual oscillations of the individual wavelets, rather than just their magnitude.
      Comparing Figures 1 and 3 it is now much clearer that there was large power in the 2-7 year ENSO period during both the earlier and latter parts of this century. In addition we can now see hints of a 16-year oscillation as well as power at even lower frequencies.
      The wavelet transform also gives information on changes in frequency that may have occured. Thus, from 1960-1990 the ENSO time band (2-7 years) seems to have undergone a slow oscillation in period from a 3-year period between events back in 1965 up to about a 5-year period in the early 1980s.


# File 'lib/octokit/enterprise_admin_client/admin_stats.rb', line 114
def get_admin_stats(metric) get "enterprise/stats/#{metric}" end


Washoku
–Opening time–
| Time |
Hours |
Service |
Open/Closed |
| Morning |
8h-12h |
Restaurant |
Open |
| Bar |
Closed |
| Afternoon |
14h-18h |
Restaurant |
Closed |
| Bar |
Open |
| Evening |
19h-24h |
Restaurant |
Open |
| Bar |
Open |
–Catering–
- Attendance – 50 to 500 people
- Event Date – Can't book during all of August, December 20th to January 5th.
- Event Location – Please Contact us
- Event Description – Weddings, Partys, Hotels. We do not cater for political events.
- Budget – minimum of twenty thousand USD
- For Booking: contact us
- Contact the restaurant
+0<PHONE_NUMBER>
- Contact the owner
+0<PHONE_NUMBER>
- Restaurant Manager:
<EMAIL_ADDRESS>- Contact us:
<EMAIL_ADDRESS>- Restaurant Chef:
<EMAIL_ADDRESS>- WASHOKU
The fake-fakename, FakeTown
181 fake St. W. Fake, ON fake fake


|
SensESP 1.0.8
Universal Signal K sensor framework for ESP8266 and ESP32
|
A transform that takes boolean inputs and adds button behaviors familiar to many device end users. More...
#include <press_repeater.h>
Public Member Functions | |
| PressRepeater (String config_path="", int integer_false=0, int repeat_start_interval=1500, int repeat_interval=250) | |
| virtual void | enable () override |
| virtual void | set_input (bool new_value, uint8_t input_channel=0) override |
| virtual void | set_input (int new_value, uint8_t input_channel=0) override |
| virtual void | get_configuration (JsonObject &doc) override |
| virtual bool | set_configuration (const JsonObject &config) override |
| virtual String | get_config_schema () override |
| Public Member Functions inherited from SymmetricTransform< T > | |
| SymmetricTransform (String config_path="") | |
| Public Member Functions inherited from Transform< T, T > | |
| Transform (String config_path="") | |
| Transform< T, T > * | connect_from (ValueProducer< T > *producer0, ValueProducer< T > *producer1=NULL, ValueProducer< T > *producer2=NULL, ValueProducer< T > *producer3=NULL, ValueProducer< T > *producer4=NULL) |
| Transform< T, T > * | connectFrom (ValueProducer< T > *producer0, ValueProducer< T > *producer1=NULL, ValueProducer< T > *producer2=NULL, ValueProducer< T > *producer3=NULL, ValueProducer< T > *producer4=NULL) |
| Public Member Functions inherited from TransformBase | |
| TransformBase (String config_path="") | |
| Public Member Functions inherited from Configurable | |
| Configurable (String config_path) | |
| virtual void | save_configuration () |
| Public Member Functions inherited from Enable | |
| Enable (uint8_t priority=0) | |
| const uint8_t | get_enable_priority () |
| void | set_priority (uint8_t priority) |
| Public Member Functions inherited from ValueConsumer< T > | |
| void | connect_from (ValueProducer< T > *producer, uint8_t input_channel=0) |
| void | connectFrom (ValueProducer< T > *producer, uint8_t input_channel=0) |
| Public Member Functions inherited from ValueProducer< T > | |
| ValueProducer () | |
| virtual const T & | get () const |
| void | connect_to (ValueConsumer< T > *consumer, uint8_t input_channel=0) |
| void | connectTo (ValueConsumer< T > *consumer, uint8_t input_channel=0) |
| template<typename T2 > | |
| Transform< T, T2 > * | connect_to (Transform< T, T2 > *consumer_producer, uint8_t input_channel=0) |
| template<typename T2 > | |
| Transform< T, T2 > * | connectTo (Transform< T, T2 > *consumer_producer, uint8_t input_channel=0) |
| void | emit (T new_value) |
| Public Member Functions inherited from Observable | |
| Observable () | |
| Observable (Observable &&other) | |
| Move constructor. More... | |
| void | notify () |
| void | attach (std::function< void()> observer) |
| Public Member Functions inherited from ValueConsumer< int > | |
| void | connect_from (ValueProducer< int > *producer, uint8_t input_channel=0) |
| void | connectFrom (ValueProducer< int > *producer, uint8_t input_channel=0) |
Protected Attributes | |
| int | integer_false_ |
| int | repeat_start_interval_ |
| int | repeat_interval_ |
| elapsedMillis | last_value_sent_ |
| bool | pushed_ |
| bool | repeating_ |
| Protected Attributes inherited from ValueProducer< T > | |
| T | output |
Additional Inherited Members | |
| Static Public Member Functions inherited from TransformBase | |
| static const std::set< TransformBase * > & | get_transforms () |
| Static Public Member Functions inherited from Enable | |
| static void | enable_all () |
| static void | enableAll () |
| Public Attributes inherited from Configurable | |
| const String | config_path |
| Protected Member Functions inherited from Configurable | |
| virtual void | load_configuration () |
A transform that takes boolean inputs and adds button behaviors familiar to many device end users.
It emits a value only when the state of the input changes (i.e. when the input changes from TRUE to FALSE, and vice versa). In addition, if the input remains TRUE longer than repeat_start_interval milliseconds, it will emit TRUE once again, and then again every repeat_interval milliseconds until the input returns to FALSE.
An example use case would be a DigitalInput connected to a button that represents the "Volume Up" or "Volume Down" of a sound system.
As a convenience for wiring up to DigitalInputValue and other producers that emit integers, PressRepeater can also consume integer values. As long as the integer value coming in does not match integer_false, PressRepeater will act as if TRUE was passed to it.
| config_path | The path to configure this transform in Config UI |
| integer_false | Whatever integer value (of your input) you want to be the same as boolean "false". Default is 0. |
| repeat_start_interval | How long the input must be TRUE before the first repeated output, in ms. Default is 1500. |
| repeat_interval | How often to repeat the repeated output, in ms. The default is 250. |
Definition at line 39 of file press_repeater.h.
| PressRepeater::PressRepeater | ( | String | config_path = "" , |
| int | integer_false = 0 , |
||
| int | repeat_start_interval = 1500 , |
||
| int | repeat_interval = 250 |
||
| ) |
|
overridevirtual |
Called during the initialization process. Override this method to add runtime initialization code to your class
Reimplemented from Enable.
Definition at line 14 of file press_repeater.cpp.
|
overridevirtual |
Returns a configuration schema that specifies the key/value pairs that can be expected when calling get_configuration(), or are expected by set_configuration(). The schema will be in JSON Schema format
Reimplemented from Configurable.
Definition at line 64 of file press_repeater.cpp.
|
overridevirtual |
Returns the current configuration data as a JsonObject. In general, the current state of local member variables are saved to a new object created with JsonDocument::as<JsonObject>() and returned.
Reimplemented from Configurable.
Definition at line 51 of file press_repeater.cpp.
|
overridevirtual |
Sets the current state of local member variables using the data stored in config.
Reimplemented from Configurable.
Definition at line 66 of file press_repeater.cpp.
|
overridevirtual |
Definition at line 38 of file press_repeater.cpp.
|
overridevirtual |
Used to set an input of this consumer. It is usually called automatically by a ValueProducer.
| new_value | the value of the input |
| input_channel | Consumers can have one or more inputs feeding them. This parameter allows you to specify which input number the producer is connecting to. For single input consumers, leave the index at zero. |
Reimplemented from ValueConsumer< int >.
Definition at line 34 of file press_repeater.cpp.
|
protected |
Definition at line 54 of file press_repeater.h.
|
protected |
Definition at line 57 of file press_repeater.h.
|
protected |
Definition at line 58 of file press_repeater.h.
|
protected |
Definition at line 56 of file press_repeater.h.
|
protected |
Definition at line 55 of file press_repeater.h.
|
protected |
Definition at line 59 of file press_repeater.h.


|
|
|
|
|
button_press_callback(self,
event)
whenever a mouse button is pressed |
source code
|
|
|
|
button_release_callback(self,
event)
whenever a mouse button is released |
source code
|
|
|
|
|
|
|
get_ind_under_point(self,
event)
get the index of the vertex under point if within epsilon tolerance |
source code
|
|
|
|
key_press_callback(self,
event)
whenever a key is pressed |
source code
|
|
|
|
motion_notify_callback(self,
event)
on mouse movement |
source code
|
|
|
|
poly_changed(self,
poly)
this method is called whenever the polygon object is called |
source code
|
|


As consumers in today’s functioning society, we are always in control of what we see daily. With new streaming services and subscriptions such as Netflix, HULU, and HBO Now the television and motion picture options are endless. That’s why we have created, The Movie Market. The sole purpose of the Movie Market is to help consumers make decisions about what they want to watch. With our features of creating a recommended movie search for any user that makes an account, allowing users to search for movies using a filtered search tool, and connecting users with the same movie interests finding a movie on Friday Nights to watch with your family just became easier! Create a Movie Market account today!
Welcome, Please Log In


This preview is part of the CDKit tooling.
Screenshot 1
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| Sub-Total : | $150.00 |
| Total : | $184.00 |
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Maria Denardo is the Fashion Director at theFashionSpot. Prior to joining tFS, she worked as...
Maria Denardo is the Fashion Director at theFashionSpot. Prior to joining tFS, she worked as...
Maria Denardo is the Fashion Director at theFashionSpot. Prior to joining tFS, she worked as...
Maria Denardo is the Fashion Director at theFashionSpot. Prior to joining tFS, she worked as...


Inspiration: life lessons
Try like you must but
Trust is not given
It is forbiden to give in
I like sports. I started at a very young age around 8 years old. Ever sence I've been around what ever sport was in season.
my favorite would have to be basketball though. I love the pace of the game and how fast it is played.
Another one of my interests is going on hikes. Luckly I live in Utah where it seems like there are endless hikes to be going on.
One of my favorite hikes to go on is Horsetail falls. You walk up a mountain to a waterfall.
Lastly I enjoy reading a lot. If I have time after school and work I'll sit down with a good book and decompress.
A lot of what I
read is to help me stay ontop of my field in computer science and continually learn and grow as a programmer.
| Monday | Tuesday | Wednesday | Thurdsay | Friday | |
| 1:00 | Math | Math | Math | ||
| 1:30 | CS2550 | CS2550 | |||
| 2:00 | Work | Work | Work | ||
| 2:30 |


Version 1.1¶
Release date: 2016-10-27
This release contains a number of features and fixes reported since the release of pgAdmin4 1.0;
Features¶
Issue #1328 - Add Python 3.5 Support
Issue #1859 - Include wait information on the activity tab of the dashboards
Bug fixes¶
Issue #1155 - Display the start value when the user creates sequence
Issue #1531 - Fix to update privileges for Views and Materials Views where “string indices must be integers error” displayed
Issue #1574 - Display SQL in SQL pane for security label in PG and EPAS server
Issue #1576 - Make security label option available in procedure properties
Issue #1577 - Make debug option available for package function and procedure
Issue #1596 - Correct spelling error from evnt_turncate to evnt_truncate
Issue #1599 - Ensure the grant wizard works with objects with special characters in the name
Issue #1622 - Fix issue using special characters when creating synonym
Issue #1728 - Properties refreshing after objects are edited
Issue #1739 - Prevent the user from trying to…..
Issue #1785 - Correctly identify server type upon first connection
Issue #1786 - Ensure errorModel unset property is set correctly when adding a new server
Issue #1808 - Set seconds to valid value in pgAgent job schedule
Issue #1817 - Display message “server does not support ssl” if server with ca-cert or ca-full added
Issue #1821 - Optionally sign both the Mac app bundle and the disk image
Issue #1822 - Handle non-ascii responses from the server when connecting
Issue #1823 - Attempt to sign the Windows installer, failing with a warning if there’s no cert available
Issue #1824 - Add documenation for pgAgent
Issue #1835 - Allow users to choose SELECT permissions for tables and sequences in the grant wizard
Issue #1837 - Fix refreshing of FTS dictionaries which was causing error “Connection to the server has been lost”
Issue #1838 - Don’t append new objects with the wrong parent in tree browser if the correct one isn’t loaded
Issue #1843 - Function definition matches value returned from pg_get_functiondef()
Issue #1845 - Allow refreshing synonym node. Does not display message “Unimplemented method (node) for this url (/browser/synonym/nodes/1/7/14301/2200/test)”
Issue #1847 - Identify the collation correctly when reverse engineering table SQL. ERROR: schema “default” does not exist no longer displayed
Issue #1849 - Remove security keys from config.py/config_local.py
Issue #1857 - Fix error while renaming FTS dictionary and FTS template nodes
Issue #1858 - Ensure the File Manager honours the file type while traversing the directories.
Issue #1861 - Properly generate exclusion constraint SQL.
Issue #1863 - Correctly quote type names in reverse engineered SQL for tables
Issue #1864 - Fix layout of DateTimePicker control help message.
Issue #1867 - Allow package bodies to be dropped.
Issue #1868 - Resolved issue where Integer type of preferences are not updated
Issue #1872 - Fix the file manager when used under Python 3.
Issue #1877 - Ensure preferences values are stored properly.
Issue #1878 - Ensure steps and schedules can be created in empty jobs. ProgrammingError: can’t adapt type ‘Undefined’ was displayed
Issue #1880 - Add new indexes to the correct parent on the treeview.


Value Type:
one of the atomic type specifiers short-float, single-float, double-float, or long-float, or else some other type specifier defined by the implementation to be acceptable.
Initial Value:
The symbol single-float.
Description:
Controls the floating-point format that is to be used when reading a floating-point number that has no exponent marker or that has e or E for an exponent marker. Other exponent markers explicitly prescribe the floating-point format to be used.
The printer uses *read-default-float-format* to guide the choice of exponent markers when printing floating-point numbers.
Examples:
(let ((*read-default-float-format* 'double-float)) (read-from-string "(1.0 1.0e0 1.0s0 1.0f0 1.0d0 1.0L0)")) => (1.0 1.0 1.0 1.0 1.0 1.0) ;Implementation has float format F. => (1.0 1.0 1.0s0 1.0 1.0 1.0) ;Implementation has float formats S and F. => (1.0d0 1.0d0 1.0 1.0 1.0d0 1.0d0) ;Implementation has float formats F and D. => (1.0d0 1.0d0 1.0s0 1.0 1.0d0 1.0d0) ;Implementation has float formats S, F, D. => (1.0d0 1.0d0 1.0 1.0 1.0d0 1.0L0) ;Implementation has float formats F, D, L. => (1.0d0 1.0d0 1.0s0 1.0 1.0d0 1.0L0) ;Implementation has formats S, F, D, L.
Affected By: None.
See Also: None.
Notes: None.


Just one step to get ASP.NET ZERO. You will not regret.
PAYU accepts Visa, MasterCard and AMEX
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Publications
See also my profile on Google Scholar and DBLP.
2021
- [JosEtAlESWC21]
- Amit Joshi, Luis Gerardo Gonzalez Morales, Szymon Klarman, Armando Stellato, Aaron Helton, Christopher Sean Lovell and Artur Haczek. A Knowledge Organization System for the United Nations Sustainable Development Goals. In Proceedings of the 18-th Extended Semantic Web Conference (ESWC-21), 2021. [pdf]
2017
- [MesEtAlCISIS17]
- Antonio Messina, Haikal Pribadi, Jo Stichbury, Michelangelo Bucci, Szymon Klarman and Alfonso Urso. BioGrakn: A Knowledge Graph-based Semantic Database for Biomedical Sciences. In Proceedings of the 11-th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-17), 2017. [pdf; bib]
2016
- [KlaGutJLC16]
- Szymon Klarman and Víctor Gutiérrez-Basulto. Description Logics of Context. In Journal of Logic and Computation , 26(3), pp. 817-854, 2016. [pdf; doi; bib]
2015
- [KlaBriILP15]
-
Szymon Klarman and Katarina Britz.
Ontology Learning from Interpretations in Lightweight Description Logics.
In Proceedings of the 25th International Conference on Inductive Logic Programming (ILP-15), 2015.
[pdf;
bib]
- [KlaBriDARe15]
- Szymon Klarman and Katarina Britz. Towards Unsupervised Ontology Learning from Data (with appendix). In Proceedings of the 2nd International Workshop on Defeasible and Ampliative Reasoning (DARe-15), 2015. [pdf; bib]
2014
- [KlaMeyRR14]
-
Szymon Klarman and Thomas Meyer.
Querying Temporal Databases via OWL 2 QL (with
appendix). In Proceedings of the 8th International Conference on Web Reasoning and Rule Systems (RR-14), 2014.
[pdf; bib]
- [KlaMeyDL14]
-
Szymon Klarman and Thomas Meyer.
Complexity of Temporal Query Abduction in DL-Lite (with appendix).
In Proceedings of the 27th International Workshop on Description Logics (DL-14), 2014.
[pdf; bib]
- [HalBriKlaDL14]
- Ken Halland, Katarina Britz and Szymon Klarman. TBox Abduction in ALC Using a DL Tableau. In Proceedings of the 27th International Workshop on Description Logics (DL-14), 2014. [pdf; bib]
2013
- [KlaMeyLPAR13]
-
Szymon Klarman and Thomas Meyer.
Prediction and Explanation over DL-Lite Data Streams
(with appendix). In Proceedings of the 19th International Conference on Logic for Programming, Artificial Intelligence and Reasoning
(LPAR-19), 2013. [pdf; bib]
- [KlaLPAR13]
- Szymon Klarman. Practical Querying of Temporal Data via OWL 2 QL and SQL:2011 (short paper). In Proceedings of the 19th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR-19), 2013. [pdf; bib]
2012
- [KlaEtAlISWC12]
-
Szymon Klarman, Stefan Schlobach and Luciano Serafini.
Formal Verification of Data Provenance Records.
In Proceedings of the 11th International Semantic Web Conference (ISWC-12), 2012.
[pdf; bib;
video]
- [GutKlaRR12]
- Víctor Gutiérrez-Basulto and Szymon Klarman. Towards a Unifying Approach to Representing and Querying Temporal Data in Description Logics. In Proceedings of the 6th International Conference on Web Reasoning and Rule Systems (RR-12), 2012. [pdf; bib]
2011
- [KlaGutDL11]
-
Szymon Klarman and Víctor Gutiérrez-Basulto.
Two-Dimensional Description Logics of Context.
In Proceedings of the 24th International Workshop on Description Logics (DL-11), 2011.
[pdf; bib]
(Best Student Paper)
- [KlaGutAAAI11]
-
Szymon Klarman and Víctor Gutiérrez-Basulto.
Two-Dimensional Description Logics for Context-Based Semantic Interoperability (with appendix).
In Proceedings of the 25th Conference on Artificial Intelligence (AAAI-11), 2011.
[pdf; bib]
- [KlaEtAlJAR11]
- Szymon Klarman, Ulle Endriss and Stefan Schlobach. ABox Abduction in the Description Logic ALC. In Journal of Automated Reasoning, 46(1), pp. 43-80, 2011. [pdf; doi; bib]
2010
- [KlaGutJELIA10]
-
Szymon Klarman and Víctor Gutiérrez-Basulto.
ALCALC: a Context Description Logic (with appendix).
In Proceedings of the 12th European Conference on Logics in Artificial Intelligence (JELIA-10), 2010.
[pdf; doi;
bib]
- [KlaFOLLI10]
- Szymon Klarman. Description Logics for Relative Terminologies. In Interfaces: Explorations in Logic, Language and Computation. ESSLLI 2008 and ESSLLI 2009 Student Sessions. Selected Papers, LNAI 6211 Springer, 2010. [pdf; doi; bib]
2009
- [KlaSchloDL09]
-
Szymon Klarman and Stefan Schlobach.
Relativizing Concept Descriptions to Comparison Classes in ALC, 2009.
In Proceedings of the 22nd International Workshop on Description Logics (DL-09), 2009.
[pdf]
- [KlaESSLLI09]
- Szymon Klarman. Description Logics for Relative Terminologies or Why the Biggest City Is Not a Big Thing. In Proceedings of the ESSLLI 2009 Student Session, 2009. [pdf]
2008
- [KlaCOMSOC08]
-
Szymon Klarman.
Judgment Aggregation as Maximization of Epistemic and Social Utility.
In Proceedings of the 2nd International Workshop on Computational Social Choice (COMSOC-08), 2008.
[pdf; bib]
- [KlaEtAlOWLED08]
- Szymon Klarman, Rinke Hoekstra and Marc Bron. Versions and Applicability of Concept Definitions in Legal Ontologies. In Proceedings of the 4th International Workshop OWL: Experiences and Directions (OWLED-08 DC), 2008. [pdf; bib]
2007
- [KlaBronMOAIL07]
- Szymon Klarman and Marc Bron. Representing Definitional Changes in Legal Ontologies. In Proceedings of the Workshop on Multimedia Ontologies and Artificial Intelligence Techniques in Law 2007 (MOAIL-07), 2007. [pdf]
Theses
- [KlarmanPhD13]
-
Szymon Klarman.
Reasoning with Contexts in Description Logics.
Ph.D. dissertation
(supervisors: Frank van Harmelen and Stefan Schlobach), VU University Amsterdam, 2013.
[pdf; bib; cover]
- [KlarmanMSc08]
-
Szymon Klarman.
ABox Abduction in Description Logic.
Master's thesis (supervisor: Ulle Endriss), ILLC MoL Series, University of Amsterdam, 2008.
[pdf]
- [KlarmanMA05]
- Szymon Klarman. Inductive Logic in the Framework of Decision Theory. Master's thesis (supervisor: Grzegorz Malinowski), University of Lodz, 2005. [pdf]
Edited volumes
-
Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard and Ivan José Varzinczak, guest editors.
Special Issue of the International Journal of Approximate Reasoning on Defeasible and Ampliative Reasoning, 2019.
[online]
-
Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard and Ivan José Varzinczak, editors.
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning
(DARe-16), 2016. [proceedings]
-
Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard and Ivan José Varzinczak, editors.
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning
(DARe-15), 2015. [proceedings]
-
Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard and Ivan José Varzinczak, editors.
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning
(DARe-14), 2014. [proceedings]
- Katrina Britz, Diego Calvanese, C. Maria Keet and Szymon Klarman, editors.
Proceedings of the First International Workshop on Logics and Reasoning for Conceptual Modeling
(LRCM-13), 2013.
- Szymon Klarman and Rinke Hoekstra, editors. Summary of Specification of the Legal Knowledge Interchange Format (Deliverable 1.1). Technical report, ESTRELLA, 2008. [pdf]
Other
- Szymon Klarman.
Is the Data Fabric a Secret to Bypassing Data Silos? ITNOW, Volume 64, Issue 3, BlackSwan Technologies, 2022.
[link]
- Szymon Klarman.
What is the data fabric? BCS, The Chartered Institute for IT, BlackSwan Technologies, 2022.
[link]
- Arie Genkin and Szymon Klarman.
Method and system for domain agnostic knowledge extraction. US Patent 11,321,615, BlackSwan Technologies, 2021.
[link-1; link-2]
- David Amzallag and Szymon Klarman.
Knowledge Mesh: From Data Silos to Data Fabric at Global 2000 Enterprises. Connected Data World, BlackSwan Technologies, 2021.
[video]
- Szymon Klarman.
Composite AI provides an extra dimension for businesses looking for growth, compliance and profitability Technology Innovators, BlackSwan Technologies, 2021.
[link]
- Szymon Klarman.
The rise of the Data Fabric - Has the data lake run its course? IDG Connect, BlackSwan Technologies, 2021.
[link]
- Szymon Klarman.
How knowledge graphs help enterprises contextualise information like the human mind. IDG Connect, BlackSwan Technologies, 2021.
[link]
- Szymon Klarman and Adam Królak.
Knowledge Graph part 3 – The power at your fingertips. Blog post, BlackSwan Technologies, 2020.
[link]
- Szymon Klarman.
Knowledge Graph part 2 – Unleash the power of your data. Blog post, BlackSwan Technologies, 2020.
[link]
- Szymon Klarman.
Knowledge Graph part 1 – Using AI insights to connect the dots and make better business decisions. Blog post, BlackSwan Technologies, 2020.
[link]
- Szymon Klarman.
Knowledge Graph App in 15min. Blog post, EPISTEMIK, 2020.
[link]
- Szymon Klarman.
Linked Open Statistical Data, Served Simply. Blog post, EPISTEMIK, 2020.
[link]
- Szymon Klarman.
What Can the Semantic Web Do for GraphQL? Blog post, EPISTEMIK, 2019.
[link]
- Szymon Klarman.
Weaving Linked Data Cloud with (Hyper)GraphQL. Blog post, Semantic Integration, 2018.
[link]
- Szymon Klarman.
Querying DBpedia with GraphQL. Blog post, Semantic Integration, 2017.
[link]
-
Szymon Klarman.
Modelling Data with Hypergraphs. Blog post, Grakn Labs, 2017.
[link; DZone reprint]
-
Szymon Klarman.
Knowledge Graph Representation: GRAKN.AI or OWL? Blog post, Grakn Labs, 2017. [link]
-
Szymon Klarman.
Knowledge Assembly at Scale with Semantic and Probabilistic Techniques.
Talk, Connected Data London Conference, 2016.
[slides; video]
-
Ross King, Szymon Klarman, Larisa Soldatova and Robert Stevens.
Probabilistic Annotation Framework: Knowledge Assembly at Scale with Semantic and Probabilistic Techniques.
Abstract, UK Ontology Network (UKON-16), 2016. [pdf]
-
Szymon Klarman.
DIY: DBpedia Movie Recommender – an exercise in linked open data engineering. Blog post, 2016.
[link]
-
Szymon Klarman, Stefan Schlobach and Luciano Serafini.
Formal Verification of Data Provenance Records - Video Abstract.
In Video Journal of Semantic Data Management,
Vol.1, 2012. [video]
-
Paul Groth, Szymon Klarman, Stefan Schlobach and Jacco van Ossenbruggen.
Metadata-Driven Selection and Integration of Object-Level Knowledge.
Technical report. VU University Amsterdam, 2011. [pdf]
-
Joost Breuker, Saskia van de Ven, Abdallah El Ali, Marc Bron, Szymon Klarman, Uros Milosevic, Lars Wortel and Andras
Forhecz.
Developing HARNESS. Deliverable 4.6/3b. Technical report, ESTRELLA, 2008.
-
Joost Breuker, Patries Kordelaar, Abdallah El Ali, Marc Bron, Szymon Klarman, Pablo Cubides Kovacsics, Saskia van de
Ven, Tom van Engers, Ulrike Liss and Sean Reardon.
Comparing Models of EU Directive 90/434/eec. Deliverable
2.5. Technical report, ESTRELLA, 2008.
-
Marc Bron, Abdallah El Ali, Xingrui Ji, Szymon Klarman.
Modeling Nomic in LKIF-core Ontology.
Technical report, ESTRELLA, 2007. [pdf; slides;
OWL ontologies rar]
- Szymon Klarman. Philosophical and Methodological Aspects of Eliminative Induction. Talk, Philosophers’ Rally, 2006. [slides]
Organization
- International Workshop on Defeasible and Ampliative Reasoning (DARe) 2014-2016.
-
Workshop on Logics and Reasoning for Conceptual Models (LRCM) 2013.
- European Summer School in Logic, Language & Information (ESSLLI) 2010 (Student Session: co-chair of Logic & Computation track).
Program Committees
-
Extended Semantic Web Conference (ESWC) 2015, 2016.
-
AAAI Conference on Artificial Intelligence (AAAI) 2015.
-
International Conference on Web Reasoning and Rule Systems – Doctoral Consortium (RR) 2016.
-
Workshop on Logics and Reasoning for Conceptual
Models (LRCM) 2016.
-
Workshop on Artificial Intelligence and the Complexity of Legal
Systems (AICOL) 2015.
-
Workshop on Language and Semantic Technology for Legal
Domain (LST4LD) 2015.
-
Workshop on Belief Change and Non-Monotonic Reasoning in
Ontologies and Databases (ONTOCHANGE) 2015.
-
International Workshop on Modular
Ontologies (WoMO) 2014.
-
International Workshop on Acquisition, Representation and
Reasoning with Contextualized Knowledge (ARCOE) 2012-2014.
- OWL: Experiences and Directions (OWLED) 2009.
Reviewing
-
International Journal of Semantic Computing, Journal of Web Semantics, Semantic Web
Journal, Journal of Automated Reasoning, Journal of Artificial Intelligence Research.
-
AAAI Conference on Artificial Intelligence (AAAI), International Joint Conference
on Artificial Intelligence (IJCAI), International Semantic Web
Conference (ISWC), Extended Semantic Web Conference (ESWC),
International Conference on Principles of Knowledge Representation and Reasoning (KR), European Conference on Artificial Intelligence (ECAI), Australasian
Joint Conference on Artificial Intelligence (AI), International Conference
on Web Reasoning and Rule Systems (RR), International Conference on Scalable
Uncertainty Management (SUM), European Conference on Logics in Artificial Intelligence
(JELIA), The Pacific Rim International Conference on Artificial Intelligence
(PRICAI), German Conference on Artificial Intelligence (KI).
- International Workshop on Description Logics (DL), International Symposium on Logical Formalization of Commonsense Reasoning (COMMONSENSE), International Symposium on Foundations of Information and Knowledge Systems (FoIKS), Federated Conference on Computer Science and Information systems (FedCSIS).
Teaching
-
Introduction to Description Logics (VU University Amsterdam, 2009-2012):
- Philosophy for children (University of Lodz, teaching internship, 2004). [background]
Supervising
-
Ruben Weber.
Approximations of Connection Tableaux for the Description Logic ALC.
VU University Amsterdam, 2011. Master’s thesis (M.Sc. AI). Main advisor:
Dr Stefan Schlobach.
- Jeroen de Man. Approximating Restrictions for Ontology Classification. VU University Amsterdam, 2011. Minimaster’s project (M.Sc. AI). Main advisor: Dr Annette ten Teije.


- Hometown:
- Dobbs Ferry, NY
- Hobbies:
- Snowboarding
ReadingCamping
- Current City:
- Brooklyn, NY
- Farovite IPA's:
-
Sculpin (Ballast Point)
Jai Alai (Cigar City)
Otherside (Greenport Harbor)
My name is Joe Kanakaraj and I'm a Front-end developer based in Brooklyn, NY. I have close to 15 years of experience in web and mobile application development. I started building websites when I was in college to help me trade tapes of live concert recordings. Who knew it would lead to all this! Here are a few fun facts about me:


Kwadwo Asamoah Given S3x Tips By Coach Antonio Conte
by Peace FM OnlineANTONIO CONTE has brought his own brand of sexy football to Inter Milan ... by telling his players how to make love.
The former Chelsea and Italy boss took charge of the Serie A giants in May
Featured Video


PSALMS 60
A psalm written by David for the choir director, a psalm for teaching, to be sung using the tune "Lily of the promise." David wrote it during the wars in northern Syria, and when Joab's army, after returning from the battle, killed twelve thousand of the Edom people group in Salt Valley.
1 I prayed, "God, you have rejected us Israelites!
Because you have been angry with us,
you have enabled our enemies to break through our ranks.
Please enable us to be strong again!
2 When the enemy defeated us, it was as though you made a big earthquake in which the ground split open.
So now, just as you can cause the cracks in the land to disappear,
help our army to be strong again,
because it is as though our country is falling apart.
3 You have caused us, your people, to suffer very much;
it is as though you had forced us to drink strong wine that caused us to stagger around after we became drunk.
4 But you have raised a battle flag for those who honor you
so that they can gather around it and not be killed by the enemies' arrows.
5 Answer our prayers and enable us by your power to defeat our enemies
so that we, the people whom you love, will be saved."
6 Then God answered my prayer and spoke from his temple, saying,
"Because I have conquered your enemies, I will divide the city of Shechem,
and I will distribute among my people the land in Succoth Valley.
7 The region of Gilead is mine;
the people of the tribe of Manasseh are mine;
the tribe of Ephraim is like my helmet;
and the tribe of Judah is like the scepter with which I rule.
8 The region of Moab is like my washbasin;
I throw my sandal into the region of Edom to show that it belongs to me;
I shout triumphantly because I have defeated the people of all the region of Philistia.
9 Because I want to defeat the people of Edom,
who will lead my army to their capital city that has strong walls around it?"
10 So, God, it seems that you have truly abandoned us;
it seems that you do not go with us when our armies march out to fight our enemies.
11 We need you to help us when we fight against our enemies
because the help that humans can give us is worthless.
12 But with you helping us, we will win;
you will enable us to defeat our enemies.


https://github.com/TheRook/subbrute
subdomain-bruteforcer (SubBrute)
SubBrute is a community driven project with the goal of creating the fastest, and most accurate subdomain enumeration tool. Some of the magic behind SubBrute is that it uses open resolvers as a kind of proxy to circumvent DNS rate-limiting (https://www.us-cert.gov/ncas/alerts/TA13-088A). This design also provides a layer of anonymity, as SubBrute does not send traffic directly to the target's name servers.
Whats new in v2.1?
Better stablity. Better support for testing cloudflare domains.
Thank you for the bug posts!
Whats new in v1.2.1?
The big news in this version is that SubBrute is now a recursive DNS-spider, and also a library, more on this later. SubBrute should be easy to use, so the interface should be intuitive (like nmap!), if you would like the interface to change, let us know. In this version we are opening up SubBrute's fast DNS resolution pipeline for any DNS record type. Additionally, SubBrute now has a feature to detect subdomains were their resolution is intentionally blocked, which sometimes happens when a subdomain is intended for for use on an internal network.
SubBrute is now a DNS spider that recursively crawls enumerated DNS records. This feature boosted *.google.com from 123 to 162 subdomains. (Always enabled)
--type enumerate an arbitrary record type (AAAA, CNAME, SOA, TXT, MX...)
-s can now read subdomains from result files.
New useage - The subdomains enumerated from previous scans can now be used as input to enumerate other DNS records. The following commands demonstrate this new functionality:
./subbrute.py google.com -o google.names
...162 subdomains found...
./subbrute.py -s google.names google.com --type TXT
google.com,"v=spf1 include:_spf.google.com ip4:<IP_ADDRESS>/31 ip4:<IP_ADDRESS>/31 ~all"
adwords.google.com,"v=spf1 redirect=google.com"
...
./subbrute.py -s google.names google.com --type CNAME
blog.google.com,www.blogger.com,blogger.l.google.com
groups.google.com,groups.l.google.com
...
SubBrute is now a subdomain enumeration library with a python interface: subbrute.run() Do you want to use SubBrute in your python projects? Consider the following:
import subbrute
for d in subbrute.run("google.com"):
print d
Feedback welcome.
Whats new in v1.1?
This version merges pull requests from the community; changes from JordanMilne, KxCode and rc0r is in this release. In SubBrute 1.1 we fixed bugs, improved accuracy, and efficiency. As requested, this project is now GPLv3.
Accuracy and better wildcard detection:
A new filter that can pickup geolocation aware wildcards.
Filter misbehaving nameservers
Faster:
More than 2,000 high quality nameservers were added to resolvers.txt, these servers will resolve multiple queries in under 1 sec.
Nameservers are verified when they are needed. A seperate thread is responsible creating a feed of nameservers, and corresponding wildcard blacklist.
New output:
-a will list all addresses associated with a subdomain.
-v debug output, to help developers/hackers debug subbrute.
-o output results to file.
More Information
names.txt contains 101,010 subdomains. subs_small.txt was stolen from fierce2 which contains 1896 subdomains. If you find more subdomains to add, open a bug report or pull request and I'll be happy to add them.
No install required for Windows, just cd into the 'windows' folder:
subbrute.exe google.com
Easy to install: You just need http://www.dnspython.org/ and python2.7 or python3. This tool should work under any operating system: bsd, osx, windows, linux...
(On a side note giving a makefile root always bothers me, it would be a great way to install a backdoor...)
Under Ubuntu/Debian all you need is:
sudo apt-get install python-dnspython
On other operating systems you may have to install dnspython manually:
http://www.dnspython.org/
Easy to use:
./subbrute.py google.com
Tests multiple domains:
./subbrute.py google.com gmail.com blogger.com
or a newline delimited list of domains:
./subbrute.py -t list.txt
Also keep in mind that subdomains can have subdomains (example: _xmpp-server._tcp.gmail.com):
./subbrute.py gmail.com > gmail.out
./subbrute.py -t gmail.out
Cheers!


Who am I?
Who are you?
What brought you here?
Internet Mapping Clients: Basic HTML, Javascript, CSS; Google Maps API; OpenLayers javascript library
Geospatial Services Oriented Architectures (SOA)
Open Standards: Open Geospatial Consortium (OGC - WMS, WFS, WCS, KML); Extensible Markup Language (XML)
Desktop client use of Open Standards
Data sharing/publication using Open Standards
What is Internet Mapping?
Definitions
Tools
Use of open standards based remote data and map services in desktop applications
Establishing open standards based services to share geospatial data and mapping capabilities over the Internet
The delivery of mapping and geospatial data tools through web browsers, again based upon open standards
The global computer network of computers that typically connect with each other over TCP/IP
The subset of applications that are run over the Internet, typically using the HTTP protocol in combination with data (HTML, XML, XHTML), presentation (CSS), and behavior (JavaScript) components
The generation of cartographic products that include map images (pictures of geospatial data) and other elements (e.g. legends, tools, scale information, north-arrow)
The development of models (statistical and otherwise) that enable the exploration of geospatial data and testing of hypotheses using those data
While the definition varies from one organization to the next, Open Standards are often characterized by the following:
Ability of systems to share data and information with each other
Commercial Off-the-Shelf Software. Applications that are “purchased” from vendors, often with license terms that restrict the use the software to the specific platform for which it is licensed. Often comes with implicit or explicit technical support
Software licensed under terms that are consistent with the Open Source definition, which includes access to source code, and freedom to modify and redistribute
Actual values associated with geographic locations. For example - numeric elevation values associated with locations within a Digital Elevation Model.
Data about a particular data product or service. Metadata provide critical documentation that supports the discovery and use of data products and data and mapping services
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Content is defined in terms of the structural elements available in HTML/XHTML

...

tags
...
,
...
,
...

, etc.
...

tags
...

or
...

tags, depending upon whether the list is ordered (numbered) or unordered (e.g. bulleted)<form>...</form>
tags
...

tagsModifications to default rendering of HTML/XHTML elements are made through styles defined in CSS

block (the preferred method when doing “real” web development)
block of a web pageh1 {color:red; font-size:18px;}
Selectors may be based on several criteria
h1
, p
, table
, ul
, etc.

A top level heading

h1 {color:red; font-size:18px}

Some text goes here

#para01 {color:blue; font-size:12px}

Here are some instructions

Here are some more instructions

.instructions {color:red; font-size:12px; text-decoration:blink}
The most interoperable language for adding dynamic behavior to web sites is Javascript - supported by most browsers on most operating systems
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