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{% extends "_post.html" %}
{% hyde
title: "The Caves of Clojure: Part 3.2"
snip: "World smoothing."
created: 2012-07-10 10:04:00
flattr: true
%}
{% block article %}
This post is part of an ongoing series. If you haven't already done so, you
should probably start at [the beginning][].
This entry corresponds to [post three in Trystan's tutorial][trystan-tut].
If you want to follow along, the code for the series is [on Bitbucket][bb] and
[on GitHub][gh]. Update to the `entry-03-2` tag to see the code as it stands
after this post.
[the beginning]: /blog/2012/07/caves-of-clojure-01/
[trystan-tut]: http://trystans.blogspot.com/2011/08/roguelike-tutorial-03-scrolling-through.html
[bb]: http://bitbucket.org/sjl/caves/
[gh]: http://github.com/sjl/caves/
[TOC]
Summary
-------
When the last post left off I had a random world generated, but it wasn't very
pretty. Every tile had an equal chance of being a wall or a floor, which
results in an uninteresting "white noise" of rock. Not a very nice setting for
a roguelike.
This post is going to show how I added Trystan's world smoothing to make
nicer-looking caves. He uses a [cellular automata-based world-smoothing
algorithm][ca-wiki] that I think is really cool, so I'm going to do pretty much
the same thing.
Debugging
---------
Let's jump right in. The world smoothing code is going to go in `world.clj`.
Before I start writing the actual smoothing code, I added two helper functions
to print worlds to the console so I could see what I was doing:
:::clojure
(defn print-row [row]
(println (apply str (map :glyph row))))
(defn print-world [world]
(dorun (map print-row (:tiles world))))
Simple, but very helpful because `(:tiles world)` contains `Tile` records
instead of just the raw glyphs, so printing it without these helpers makes it
impossible to read.
Smoothing
---------
Okay, on to the real code. I'll go through it from the bottom up this time
because I think it's easier to understand that way.
First I added a `smooth-world` function that will be what I eventually need to
call repeatedly to smooth out the terrain:
:::clojure
(defn smooth-world [{:keys [tiles] :as world}]
(assoc world :tiles (get-smoothed-tiles tiles)))
It's pretty much a helper function that handles getting the tile map in and out
of the world object. The smoothing process only cares about the tile map, not
anything else the world might later contain.
Next up:
:::clojure
(defn get-smoothed-tiles [tiles]
(mapv (fn [y]
(get-smoothed-row tiles y))
(range (count tiles))))
I use Clojure 1.4's new `mapv` function, which is basically a version of `map`
that creates a vector as the end product instead of a lazy sequence. Our
`:tiles` object is a vector of vectors going in, so it should be the same coming
out.
I loop map over the row indices. For each row number I get the result of
`get-smoothed-row`, and the `mapv` concatenates all of those into a vector for
me, so I end up with `[[smoothed row], [smoothed row], ...]`.
You might notice that I'm using an index-based approach here. Isn't that a bad
idea in Clojure? Shouldn't I be using sequenced-based things instead?
I spent about twenty minutes trying to get the sequence-based approach in the
Programming Clojure book to work and eventually gave up. It sounds like
a beautiful idea but I couldn't deal with it for a number of reasons:
* Harder to debug, with infinite padding sequences making some intermediate
steps unprintable.
* Very general, which sounds good, but makes it harder to understand because we
can't talk about "the row of tiles" any more but now talk about stuff like
"the sequence of row triples".
* In general just very alien and hard to use for what should be a
straightforward, 10 minute task.
Here's an example of a few of the functions from the book I would have been
using if I had gone that route:
:::clojure
(defn window
"Returns a lazy sequence of 3-item windows centered
around each item of coll, padded as necessary with
pad or nil."
([coll] (window nil coll))
([pad coll]
(partition 3 1 (concat [pad] coll [pad]))))
(defn cell-block
"Creates a sequences of 3x3 windows from a triple of 3 sequences."
[[left mid right]]
(window (map vector left mid right)))
I personally find it easier to read things like `(get-smoothed-row tiles y)`
than `(map vector left right mid)`. You might feel differently, but this was
what I ended up with because I didn't want to spend a ton of time on the
smoothing process.
Anyway, back to the code. Now I need a way to smooth a single row:
:::clojure
(defn get-smoothed-row [tiles y]
(mapv (fn [x]
(get-smoothed-tile (get-block tiles x y)))
(range (count (first tiles)))))
Once again I use `mapv` because a row needs to be a vector. This time I'm
mapping over the column indices, but for the most part it's very similar to the
previous function.
I need a function to smooth a tile, but first I need a way to get a "block" of
tiles.
The basic rule I'm using for the smoothing comes from the [page about cellular
automata smoothing on RogueBasin][ca-wiki]:
[ca-wiki]: http://roguebasin.roguelikedevelopment.org/index.php?title=Cellular_Automata_Method_for_Generating_Random_Cave-Like_Levels
A tile will become a floor tile if and only if the 3 by 3 square of tiles
centered on it contains 5 or more floor tiles.
This means I need a way to get the 3 by 3 block of tiles centered on any given
tile:
:::clojure
(defn block-coords [x y]
(for [dx [-1 0 1]
dy [-1 0 1]]
[(+ x dx) (+ y dy)]))
(defn get-block [tiles x y]
(map (fn [[x y]]
(get-tile tiles x y))
(block-coords x y)))
First we have a helper function that returns the coordinates of all the tiles
we're going to look at. For example, if you pass it `[22 30]` it will return:
:::clojure
[[21 29] [22 29] [23 29]
[21 30] [22 30] [23 30]
[21 31] [22 31] [23 31]]
Note that `get-block` doesn't do any bounds checking, so passing it `[0 0]` will
happily return coordinates like `[-1 -1]`, which are off the edge of the map.
This isn't a problem because our `get-tile` method will return `:bound` tiles
for those coordinates, which are not `:floor` tiles and so are effectively walls
for the purposes of this algorithm.
`get-block` itself is just a glue function that gets coordinates from
`block-coords` and maps `get-tile` over them.
So now I have a way to get a sequence of all the tiles in a block centered
around a target. The last step is actually figuring out what the resulting
block for that target should be:
:::clojure
(defn get-smoothed-tile [block]
(let [tile-counts (frequencies (map :kind block))
floor-threshold 5
floor-count (get tile-counts :floor 0)
result (if (>= floor-count floor-threshold)
:floor
:wall)]
(tiles result)))
This looks long, but that's mostly because I like using named intermediate
variables to make it more readable. It should be pretty easy to understand,
just go ahead and read through it.
So now the `smooth-world` function has all the machinery it needs to smooth
a world. The last step is to actually *use* it. I changed the `random-world`
function to look like this:
:::clojure
(defn random-world []
(let [world (new World (random-tiles))
world (nth (iterate smooth-world world) 0)]
world))
At the moment it takes the zeroth iteration, which actually means the unsmoothed
world. What gives?
Interactive Development
-----------------------
I wasn't sure right away how much smoothing would look good, so I wanted to try
out a bunch of levels and see how they behaved. I could have done it by
printing to the console, but it's a pain to compare the multiple hunks of text.
I decided to just add it to the game itself for now to make it easy to see how
the smoothing behaves. Back in `core.clj` I pulled in the `smooth-world`
function:
:::clojure
(ns caves.core
(:use [caves.world :only [random-world smooth-world]])
(:require [lanterna.screen :as s]))
Next I added another command to the `:play` UI: pressing `s` will smooth the
current world by one more level:
:::clojure
(defmethod process-input :play [game input]
(case input
:enter (assoc game :uis [(new UI :win)])
:backspace (assoc game :uis [(new UI :lose)])
\s (assoc game :world (smooth-world (:world game)))
game))
Yes, it only took one line to add that. I simply replace the world with the
smooth(er) world and return the resulting game. I don't need to touch the UI
stack because I want to remain at the play UI for subsequent commands.
I'm really liking this immutable game structure so far!
Results
-------
Once you fire up the game and press a key to begin, you're presented with the
white-noise map from the last entry:
![Screenshot](/media/images{{ parent_url }}/caves-03-2-01.png)
But now you can press `s` and the caves will smooth out a bit:
![Screenshot](/media/images{{ parent_url }}/caves-03-2-02.png)
Another press of `s` smooths them further:
![Screenshot](/media/images{{ parent_url }}/caves-03-2-03.png)
You can use enter or backspace to win or lose, then any key to go back to the
start screen and get a new world to play with.
Screenshots really don't do this justice, because seeing the world change before
your eyes is *really* cool. I made a 30-second [screencast][] that demonstrates
the effect if you don't want to actually run it locally.
[screencast]: http://www.screenr.com/FSk8
I still haven't decided exactly how smooth I want to make the caves, so I'll
leave that `0` in the `nth` call for now and figure it out later.
You can view the code [on GitHub][result-code] if you want to see it all at
once.
[result-code]: https://github.com/sjl/caves/tree/entry-03-2/src/caves
Next post: scrolling!
{% endblock article %}


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- JSON :
JavaScript Object Notation.
- JSON
is a syntax for storing and exchanging data.
- JSON
is text, written with JavaScript object notation.
- JSON
is a lightweight data-interchange format
- JSON
is "self-describing" and easy to understand.
- JSON
is language independent.
JSON format was originally specified by Douglas
Crockford
JSON Syntax
JSON Syntax Rules
- Data is in name/value pairs
- Data is separated by commas
- Curly braces hold objects
- Square brackets hold arrays
JSON data is written as name/value pairs. A name/value pair consists of a field name (in double
quotes), followed by a colon, followed by a value:
Example
"name" : "John"
- Both JSON and XML can be used to receive data from a web server.
The following JSON and XML examples both define an employees object, with an array of 3 employees:
JSON Example
{"employees":[
{ "firstName":"John", "lastName":"Doe" },
{ "firstName":"Anna", "lastName":"Smith" },
{ "firstName":"Peter", "lastName":"Jones" }
]}
XML Example
- Both JSON and XML are "self describing" (human readable)
- Both JSON and XML are hierarchical (values within values)
- Both JSON and XML can be parsed and used by lots of programming languages
- Both JSON and XML can be fetched with an XMLHttpRequest
JSON is Unlike XML Because
- JSON doesn't use end tag.
- JSON is shorter.
- JSON is quicker to read and write.
- JSON can use arrays.
JSON Data Types
Valid Data Types
In JSON, values must be one of the following data types:
- a string
- a number
- an object (JSON object)
- an array
- a boolean
- null
JSON Strings
Strings in JSON must be written in double quotes.
Example:
{ "name":"John" }
JSON Numbers
Numbers in JSON must be an integer or a floating point.
Example:
{ "age":30 }
JSON Objects
Values in JSON can be objects.
Example:
{
"employee":{ "name":"John", "age":30, "city":"New York" }
}
JSON Arrays
Values in JSON can be arrays.
Example:
{
"employees":[ "John", "Anna", "Peter" ]
}
JSON Booleans
Values in JSON can be true/false.
Example:
{ "sale":true }
JSON null
Values in JSON can be null.
Example:
{ "middlename":null }
A common use of JSON is to exchange data to/from a web server.
When receiving data from a web server, the data is always a string.
Parse the data with JSON.parse()
, and the data becomes a JavaScript
object.
Example - Parsing JSON
Imagine we received this text from a web server:
'{ "name":"John", "age":30, "city":"New York"}'
Use the JavaScript function JSON.parse()
to convert text into a
JavaScript object:
var obj = JSON.parse('{ "name":"John", "age":30, "city":"New York"}');
Make sure the text is written in JSON format, or else you will get a syntax error.
A common use of JSON is to exchange data to/from a web server.
When sending data to a web server, the data has to be a string.
Convert a JavaScript object into a string with JSON.stringify()
Stringify a JavaScript Object
Imagine we have this object in JavaScript:
var obj = { name: "John", age: 30, city: "New York" };
Use the JavaScript function JSON.stringify()
to convert it into a
string.
var myJSON = JSON.stringify(obj);
The result will be a string following the JSON notation.
var obj = { name: "John", age: 30, city: "New York" };
var myJSON = JSON.stringify(obj);
document.getElementById("demo").innerHTML = myJSON;
Stringify a JavaScript Array
It is also possible to stringify JavaScript arrays:
Imagine we have this array in JavaScript:
var arr = [ "John", "Peter", "Sally", "Jane" ];
Use the JavaScript function JSON.stringify() to convert it into a string.
var myJSON = JSON.stringify(arr);
The result will be a string following the JSON notation.
myJSON is now a string, and ready to be sent to a server:
var arr = [ "John", "Peter", "Sally", "Jane" ];
var myJSON = JSON.stringify(arr);
document.getElementById("demo").innerHTML = myJSON;
Arrays as JSON Objects
Example:
[ "Ford", "BMW", "Fiat" ]
Arrays in JSON are almost the same as arrays in JavaScript.
In JSON, array values must be of type string, number, object, array, boolean or null.
In JavaScript, array values can be all of the above, plus any other valid JavaScript expression,
including functions, dates, and undefined.
Arrays in JSON Objects
Arrays can be values of an object property:
Example:
{
"name":"John",
"age":30,
"cars":[ "Ford", "BMW", "Fiat" ]
}
Nested Arrays in JSON Objects
Values in an array can also be another array, or even another JSON object:
Example:
myObj = {
"name":"John",
"age":30,
"cars": [
{ "name":"Ford", "models":[ "Fiesta", "Focus", "Mustang" ] },
{ "name":"BMW", "models":[ "320", "X3", "X5" ] },
{ "name":"Fiat", "models":[ "500", "Panda" ] }
]
}
To access arrays inside arrays, use a for-in loop for each array:
Example:
for (i in myObj.cars) {
x += "" + myObj.cars[i].name + "
";
for (j in myObj.cars[i].models) {
x += myObj.cars[i].models[j];
}
}
A common use of JSON is to read data from a web server, and display the data in a web page.
This chapter will teach you how to exchange JSON data between the client and a PHP server.
PHP File
PHP has some built-in functions to handle JSON.
Objects in PHP can be converted into JSON by using the PHP function json_encode():
Example:
<?php
$myObj->name = "John";
$myObj->age = 30;
$myObj->city = "New York";
$myJSON = json_encode($myObj);
echo $myJSON;
?>
The Client Javascript
Here is a JavaScript on the client, using an AJAX call to request the PHP file from the example above:
Example:
Use JSON.parse() to convert the result into a JavaScript object:
xmlhttp.onreadystatechange = function() {
if (this.readyState == 4 && this.status == 200) {
var myObj = JSON.parse(this.responseText);
document.getElementById("demo").innerHTML = myObj.name;
}
};
xmlhttp.open("GET", "demo_file.php", true);
xmlhttp.send();
JSON HTML
JSON can very easily be translated into JavaScript.
JavaScript can be used to make HTML in your web pages.
HTML Table
Make an HTML table with data received as JSON:
Example:
obj = { table: "customers", limit: 20 };
dbParam = JSON.stringify(obj);
xmlhttp = new XMLHttpRequest();
xmlhttp.onreadystatechange = function() {
if (this.readyState == 4 && this.status == 200) {
myObj = JSON.parse(this.responseText);
txt += ""
for (x in myObj) {
txt += "| " + myObj[x].name + " |
";
}
txt += "
"
document.getElementById("demo").innerHTML = txt;
}
}
xmlhttp.open("POST", "json_demo_db_post.php", true);
xmlhttp.setRequestHeader("Content-type", "application/x-www-form-urlencoded");
xmlhttp.send("x=" + dbParam);
JSONP
JSONP is a method for sending JSON data without worrying about cross-domain issues.
JSONP does not use the XMLHttpRequest
object.
JSONP uses the <script>
tag instead.
JSONP Intro
JSONP stands for JSON with Padding.
Requesting a file from another domain can cause problems, due to cross-domain policy.
Requesting an external script from another domain does not have this problem.
JSONP uses this advantage, and request files using the script tag instead of the XMLHttpRequest
object.
The Server File
The file on the server wraps the result inside a function call:
<?php
$myJSON = '{ "name":"John", "age":30, "city":"New York" }';
echo "myFunc(".$myJSON.");";
?>
The result returns a call to a function named "myFunc" with the JSON data as a parameter.
Make sure that the function exists on the client.


The Independent reports on some very sensible new rules issued by the Vatican to deal with people who have visions of the Blessed Virgin Mary, or BVM.
Anyone who claims to have seen an apparition [of the Virgin Mary] will only be believed as long as they remain silent and do not court publicity over their claims. If they refuse to obey, this will be taken as a sign that their claims are false.
The visionaries will then be visited by a team of psychiatrists, either atheists or Catholics, to certify their mental health while theologians will assess the content of any heavenly messages to see if they contravene Church teachings.
If the visionary is considered credible they will ultimately be questioned by one or more demonologists and exorcists to exclude the possibility that Satan is hiding behind the apparitions in order to deceive the faithful.
I have put my name forward as a volunteer outreach demonologist for the new scheme. Peeking behind apparitions to check for the presence or absence of Satan is, after all, a long-standing hobby of mine, and I think I have the required skills-set. I would also perform my demonology duties in a robust and transparent manner, or in a weedy and opaque manner if that is what the Vatican would prefer.


The Sparks Foundation Task.
Donation Page
This donation page is for the global social cause.
By giving your valuable time to this page will help some
needy and charitable organizations a boon. Without your
support it is impossible. We know this step is very small
towards a global change but by combining small steps we
make a large step indeed a global change.
Lets join this journey of ours and
be a part of this global change.
Oppurtinity given to me by: The Sparks Foundation
It is created by: Rajat Agarwal


My tweaks are tested by volunteering Beta Testers with various iOS Versions and Devices. Precise and efficient Coding. Quality is my priority.
You want me to make a Tweak for you? Just make a request per Mail, Twitter or Reddit. If I like your idea and I think that I am able to do it, I may fulfill your request. Of course, for free.
I'm learning to make Tweaks and am still far from being a professional, that's why my Tweaks will stay free for an indefinite time.
I know how hard it is to get documentation of any kind while still in the beginning phase of Tweak development. That is why all my Tweaks are and will be open source.


An Angular Component that create Moveable, Draggable, Resizable, Scalable, Rotatable, Warpable, Pinchable.
About Moveable / API / Main Project


{% block additional_head %}{% endblock additional_head %} {% block additional_css %}{% endblock additional_css %}


FlightSurety
Register Airline
Airline Name
Airline Address
Register Airline
Fund Airline
Airline Address
Fund Airline
Register Flight
Select Flight ID
CA985
CS981
AM106
Select Flight Time
1000
1500
2000
Register Flight
Purchase Insurance
Passenger Address
Airline Address
Select Flight ID
CA985
CS981
AM106
Select Flight Time
1000
1500
2000
Purchase Insurance
Check Flight Status
Airline Address
Select Flight ID
CA985
CS981
AM106
Select Flight Time
1000
1500
2000
Submit to Oracles
Claim Insurance
Claim Insurance
Flight
Submit to Oracles


2N binary digits can be placed in a circle so that all the N-digit clockwise subsequences are distinct.
For N=3, two such circular arrangements are possible, ignoring rotations:
For the first arrangement, the 3-digit subsequences, in clockwise order, are:
000, 001, 010, 101, 011, 111, 110 and 100.
Each circular arrangement can be encoded as a number by concatenating the binary digits starting with the subsequence of all zeros as the most significant bits and proceeding clockwise. The two arrangements for N=3 are thus represented as 23 and 29:
Calling S(N) the sum of the unique numeric representations, we can see that S(3) = 23 + 29 = 52.
Find S(5).


Demo 3
Dragging objects under transformation (scale, rotation).
- Basic rectangle (no transformation); just for reference
- Tilter rectangle (scale and rotation); should follow a drag
- Group (scale and rotation); should follow a drag (YEEEY, IT WAS HARD!!)
- Nested SVG (scale and rotation); does not observe the transformations; does follow a drag
- Symbol + use (scale and rotation); does follow a drag
the red circle should be draggable within the symbol


 This would not be my first time trying it, I had two previous 'unsuccessful' trips. The first one was done by myself over summer with eight pills, and had little results other than sleepiness. The second one, at sixteen pills, had some visuals, but was still disappointing and wasn't worth fighting the drowsiness.
This time, I was resolute to 'trip,' so I purchased an off-brand with 24 tablets for five bucks. I hurried back home, took eighteen, then waited for a few minutes, and took two more. I spent the next thirty minutes or so reading other reports on the internet, then headed off to the bathroom.
Then the dimenhydrinate began to kick in. While in the bathroom, I was staring at the wall, when all of a sudden it turned red. Not abruptly, but it kind of became washed over with redness. As I stared at it, the red became more intense, until finally it stayed a static color. Things were looking good, so I headed out to the front room to await my trip.
When I sat down, I perceived these faint white sparkles in the air. They all were in the periphery of my visual field, and flew about quickly before being extinguished.  I had a strong head buzz which made it hard to concentrate on anything, and I felt like a weight a lot.
So, testing my new state of perception, I stood up. Now, that sounds easy here, but I felt like I weighed literal tons. As I labored my way around the house, I had the impression that I was in one of those early scuba-diving suits that weighed hundreds of pounds. It had been about fifty minutes since I took them. I decided to return to the front room and enjoy what I could of the trip, as my parents would be home in a few hours.
When I returned to my seat on the couch, I was bombarded with visuals. First, while staring at the fireplace, I went through a series of 'perception shifts.' The best way to explain it would be that my vision zoomed in on the fireplace about six inches and everything turned a darker color. This happened three times and then I saw some weird stuff in the fireplace.
First I saw a shadow that looked like a clawed hand on the fireplace wall, and it was constantly reaching and grabbing at nothing. Then the screen around the fireplace started to twitch sporradically, almost like it was having a seizure. After that, I noticed a gecko crawling around in the fireplace chute, and sometimes it would crawl on the screen and I could actually see the screen sag under its weight and hear it rattling the chain links!
After being impressed by the fireplace for a few minutes, I took a look around the room. I noticed that, at sertain points on the wall, there was this very thin membrane-coated -- almost transparent -- jelly, that was in odd shapes such as lumberjacks sawing logs or a person standing there. They were small, and only vaguely visible, but entertaining nevertheless.
I saw then what I probably consider my best hallucination. I saw, in the surface of the wall, a gelatinous sphere covered in yellow lights hovering there. It seemed to notice me, and began levitating towards my face. It was beautiful, and as it drew closer to me I reached out for it. Then, before it reached me, it burst like a bubble, leaving nothing behind.
I returned my eyes to the fireplace, and noticed large spiders crawling around on the screen. The hand was in there, still grasping at air, and the gecko was still crawling about wildly.
After this point in time, about an hour and a half after I took the dimenhydrinate, I began to suffer from confusion and memory loss. As I my link to reality grew weaker, I began to do odd things such as ask my dog complete questions, realizing only after I had finished that she couldn't understand me. I must have done this a dozen times or so before the end of the day.
I went to my room and idly picked up a book, and was surprised when I couldn't read it. Not that it was blurry or I was too out of it to read, but that the words looked like they belonged to a whole different language. It looked like a flowery, middle-eastern script. Beautiful as it was, however, I could hardly believe what I was seeing.
I began to enter a waking dream state, where I would think people had entered the room and were talking to me, then, when I responded, would disappear. I saw a blanket on a couch that looked like my mother, then moments later had a waking dream that she was sitting there.
I nodded off for about a half an hour. When I looked outside, I thought it was dark (when it was actually light), and some time between when I was laying on the couch and when I went to the bathroom, I had a waking dream that my father met me in the hall and asked 'What the hell I was doing up so late.'
I then remembered that, if I had school today, I had an essay due. I hurriedly went to the computer, printed half of it out (which I couldn't read), then remembered that I had already turned it in! Not only did I not know what time it was, I didn't understand where I was in the continuum of time!
When I returned to the front room, I kept slipping in and out of awareness. I had constant waking dreams that brought everyone from friends and family to my front room, only to have them vanish without warning. My waking dreams became more detailed, sometimes whisking me away to everyday settings such as classrooms and a friend's house.
I woke up about twenty minutes before my parents got home.  They pulled up at around six, and entered the house soon after.
I made idle talk with them, and thought everything was going well until my mom told me I was babbling, and my dad commented on the size of my pupils. I decided that, to retreat to the back of the house might make them more suspicious, so I stayed in the front room (my logic faculties weren't working right by this time).
I spent the remainder of the night staring at the TV blankly, making horrible conversation with my mom and dad, and coming in and out of waking dreams. Sometimes I would mutter inane sentences, only to wake up and realize my parents were there in the room staring at me oddly. They were beginning to look more and more suspicious, so I told them I got sinus medicine off a friend at school, and had an allergic reaction to it. This satisfied them, I think. I kept forgetting I hadn't slept through the night, and had no idea what time it was. Sometimes, while sitting there, I would utter, 'I have to go to school in an hour,' or 'What are you doing here?' I did, however, manage to convince them that my strange behavior was due to a combination of a cold, grogginess, and allergies, but this is not something I want to have to explain again. When I went to bed that night, I slept like the dead. The next day, I stayed home from school all day to recuperate.
In hindsight, I do not regret what I did. Though I almost got caught by parents and had to miss school over it, it was enjoyable and ultimately did not result in any negative effects. If I were to do it over again, there are a few things I would change. First, I would have (obviously) not taken it when my parents were coming home in a few hours. I did this mainly because I didn't expect the Dramamine to work, as my 8 and 16 pill experiences were pretty small. Second, I would do it at a time where I would have at least one free day following the trip during which I could recuperate. Third, I would fight lethargy in order to listen to some music or take a walk around the neighborhood. Fourth, I would like to do it with some friends, as I think it would be more entertaining.
The conclusions I have drawn from this experience is, that if you plan to really trip off this stuff, you should make sure you're in a comfortable setting where you'll remain unbothered by people you don't want to know you're using dimenhydrinate (even though it's legal), have at least one free day ahead of you to relax, and make sure you have plenty of entertaining things to do and look at, or else you'll either get bored or fall asleep (or both). I definitely plan on using it again, and will be taking my own advice in the future.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


TABLE OF INTERACTIONS WITH
DIRECT THROMBIN INHIBITORS
From the French ANSM drug interactions document of September 2016, p. 126
DIRECT THROMBIN INHIBITORS CLASS CODE: BO1AE |
OTHER MEDICATIONS ACTING ON HEMOSTASIS |
Increase of the risk of hemorrhage |
Take into account |


A passionate learner with continuous desire to build, grow, and excel. Software Engineer with a broad technical skill set and strong attention to detail. Interested in building large-scale web application systems based on cutting edge technologies, services and APIs.
Bachelor of Science, Computer Science San Francisco State University, San Francisco, CA
Associate of Art, Liberal Arts in Science and Engineering De Anza Community College, Cupertino, CA
Information Technology Consultant Innovestors San Jose, CA Managed 22 different trusts accounts with separate residential properties around the United States working with fix-and-flips and trust accounts. Recruited interns and exploring investment possibilities through technical consults.
AutoCAD Technical Support Salas O’Brien San Jose, CA Provided timely, friendly and efficient technical assistance to Salas O’Brien customers on a variety of product features, usage, installation issues. Archived Record Drawings approved by Department of State Architect and oversaw close-out packages or AT&T HVAC drawings.
Information Technology Specialist Peak Performance Chiropractic San Jose, CA Developed customized solutions within the platform to support critical business functions and meet management, and program objectives and goals. Monitored the network firewall, assessing the functionality of the network routers, ensuring all Internet security software is updated regularly.
English(Fluent), Vietnamese(Fluent), C++, HTML5, CSS, Java, Javascript
Team Player, Loyal, Problem-Solver, Determined, Persistent, Flexible, Eager Learner
Data Structures and Algorithms, UI Design, Responsive Design, Software Development, Software Engineering, Programming Methodology, Theory of Computing, Data Analysis, Probability
Google Chrome DevTools, Microsoft Office Suite, Xcode, Google Drive, Github, VS Code, Bootstrap, React, Sketch, Human Interface Guidelines, AutoCAD
President & Founder, Cryptoclub San Francisco State University
Member, Associates of Vietnam Veterans of America Chapter 201


We did most of the heavy lifting for you. When every point counts, we want to help you record and broadcast your match scores with KongPong! Put an end to your colleague's smack talks and paddle up!
KongPong calculates an Elo score (ranking) for each player and ranks them on the leaderboard. Visualise each player's ping pong stats for glory or shame. KongPong supports both, singles and double matches!
Coming Soon! KongPong will work with Slack! Get notified when a new match is played or when the leaderboard rankings have changed, or even create a new match right from the Slack interface. Never miss another match again! You'll always in the loop as long as you're subscribed!
Table Tennis has always been a passion of mine. Here at Galvanize Golden Triangle, I wanted a way to keep track of the matches played. Not only will each cohort now be able to keep track of who's king on the hill, but future cohorts and beyond, hence, KongPong!


WITNESS LIST Education Committee April 21, 1999-11:00A HB 1314 ON: Hearn, PhD., Michael A. (Univ. of Texas MD Anderson Cancer Center), Houston HB 1433 THIS LIST HAS NO WITNESSES. HB 1488 FOR: Longoria, Sandra (Student body of UTB/ TSC), unavailable Pena, Alberto (UTB/ TSC Former Students), unavailable ON: Garcia, Dr. Juliet V. (The Univ. of Texas @ Brownsville & Tx. Southmost College), Brownsville SB 3 FOR: Bechtol, Bill (TEPSA), Austin Collier, Virginia (TASA & Brenham ISD), unavailable Lara, Rene (Texas Federation of Teachers), Austin McLamore, Mike (ATPE), Manchaca Vuicich, Melody (Tx. PTA, IDA-Austin), Austin ON: Kelly, Jack (Texas State Teachers Assn.), Dripping Spring Moses, Mike (TEA), unavailable Tackett, Pamela (State Board for Educator Certification), Austin Registering, but not testifying: For: Ballard, Donald L. (Dawson ISD), Welch Borden, Sandi (TEPSA), Round Rock Carpenter, Bill (Cypress-Fairbanks ISD), Houston Dunn, David (TASB), unavailable Duty, Dave (Austin ISD), unavailable Glover, Bob (Abilene ISD), Abilene Goodman, David (Andrews ISD), Andrews King, Mary (TASSP), unavailable Kress, Sandy (Texans for Education), Austin Martinez, LouAnn H. (Tx. Assoc. of School Administrators), unavailable Miller, Karen (Texas Congress of Parents & Teachers (PTA)), Houston Sockwell, Keith (Plano ISD), Plano Stevens, John H. (Texas Business and Education Coalition), unavailable Thompson, David (Texas Assoc. of School Administrators), Houston Yawn, Larry (Houston ISD), Houston SB 502 FOR: Foster, Jerry D. (International Business College, Inc.), El Paso SB 510 Registering, but not testifying: For: Hayes, Patricia (Tx. Classroom Teachers Assoc.), unavailable Kelly, Jack (Texas State Teachers Assoc.), Dripping Spring Lara, Rene (Texas Federation of Teachers), Austin SB 893 THIS LIST HAS NO WITNESSES. SB 911 FOR: Hayes, Patricia (Tx. Classroom Teachers Assoc.), unavailable Registering, but not testifying: For: Borden, Sandi (TEPSA), Round Rock Kelly, Jack (Texas State Teachers Assoc.), Dripping Spring Lara, Rene (Texas Federation of Teachers), Austin SB 980 ON: Faubion, Rob (Multi-Cultural Mathematics & Science Educ. Cooperative), unavailable Flack, Teri E. (Tx. Higher Educating Coord. Board), Austin Garza, David (Self), Austin Hanegan, Nikki L. (Multicultural Mathematics and Science), Victoria Registering, but not testifying: On: White, Dr. Gloria A. (Tx. Higher Ed. Coord. Board), Austin SB 1115 FOR: Eaton, Holly (Tx. Classroom Teachers Assoc.), Austin McLamore, Mike (ATPE), Manchaca Reed, Dianne (Association of Tx Professional Education & Dallas local ATPE), Dallas Stevanson, Barb (ATPE), Austin Thrash, Susan (ATPE Beaumont Local & ATPE State), Beaumont AGAINST: Hartman, Eric (Texas Federation of Teachers), Austin Kelly, Jack (TSTA), Dripping Spring Malfaro, Louis (Austin Federation of Teachers), unavailable Owen, Martha (Texas Federation of Teachers), unavailable Potter, Shelley (San Antonio Federation of Teachers), San Antonio Registering, but not testifying: For: Borden, Sandi (TEPSA), Austin Against: Duty, David (Austin ISD), unavailable Gunn, Joe D. (Teachers), unavailable SB 1213 FOR: hayes, Patricia (Tx. Classroom Teachers Assoc.), unavailable Hartman, Eric (Texas Federation of Teachers), Austin Kelly, Jack (Texas State Teachers Assoc.), Dripping Spring McLamore, Mike (ATPE), Manchaca AGAINST: Ramos, Joe (TASB/ TASA), unavailable SB 1288 FOR: Flores, Elizabeth G. (City of Laredo), unavailable Jennett, Charles (Self), unavailable Stauder, Mark (Mercy Health Systems of Texas), Laredo ON: Cunningham, William H. (U.T. System), unavailable Howell, M.D., John (UTHSCSA), San Antonio Registering, but not testifying: For: De Leon, Jr., Horacio A (City of Laredo), unavailable Keck, Ray M. (Self), unavailable On: Kazen, James D. (UTHSCSA), unavailable Price, Robert B. (U.T. Health Science Center- San Antonio), unavailable SB 1330 Registering, but not testifying: For: Bechtol, Bill (TEPSA), Austin Hayes, Patricia (TCTA), unavailable Kelly, Jack (TSTA), Dripping Spring McLamore, Mike (ATPE), Manchaca SB 1575 ON: Juhlin, Eric (School/ Career Colleges & Schools of Texas), Dallas Kimble, Roy (Texas WorkForce Commission), Austin Pounds, Bobby (Texas WorkForce Commission), Austin SB 1853 Registering, but not testifying: On: Heckman, Lynette (Coordinating Board), unavailable


[Video] Dermot Mulroney Guest Stars on Tonight’s Episode of “The Purge”
by John SquiresAs you may have noticed, Dermot Mulroney has lent his voice to a handful of episodes of the USA Network’s TV series “The Purge” dating back to the first season, and we’ll finally be meeting his character Bobby Sheridan face-to-face on tonight’s brand new episode.
Mulroney explains, “I play Bobby Sheridan this season, but the trick is that I also played him in Season 1, just as a voice over. It was really fun to be revealed as the voice that guided last season’s main character, Joe, through his Purge night. This season is more about what takes place in between Purges so you’re seeing the everyday life of a society that exists under those rules, and I play the voice of the Purge, an integral part in this universe.”
On tonight’s “Happy Holidays”:
“Marcus sinks into darkness; Esme is on the run; Ben returns home; Ryan gets an unexpected visitor.”
Don’t miss the all-new episode of “The Purge” tonight, November 19 at 9/8c on USA.


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--- layout: post title: "time" comments: true ---
they say time is the fire in which we burn. Right now Captain, my time is running out. We leave so many things unfinished in out lives... I know you understand.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
Lattice (tree, finite-differences) base class More...
#include <ql/numericalmethod.hpp>
Public Member Functions | |
| Lattice (TimeGrid timeGrid) | |
| virtual | ~Lattice ()=default |
Inspectors | |
| const TimeGrid & | timeGrid () const |
Numerical method interface | |
These methods are to be used by discretized assets and must be overridden by developers implementing numerical methods. Users are advised to use the corresponding methods of DiscretizedAsset instead. | |
| TimeGrid | t_ |
| virtual void | initialize (DiscretizedAsset &, Time time) const =0 |
| initialize an asset at the given time. More... | |
| virtual void | rollback (DiscretizedAsset &, Time to) const =0 |
| virtual void | partialRollback (DiscretizedAsset &, Time to) const =0 |
| virtual Real | presentValue (DiscretizedAsset &) const =0 |
| computes the present value of an asset. More... | |
| virtual Array | grid (Time) const =0 |
Lattice (tree, finite-differences) base class
Definition at line 37 of file numericalmethod.hpp.
Definition at line 39 of file numericalmethod.hpp.
|
virtualdefault |
| const TimeGrid & timeGrid | ( | ) | const |
|
pure virtual |
initialize an asset at the given time.
Implemented in TreeLattice< Impl >, TreeLattice< BlackScholesLattice< T > >, TreeLattice< OneFactorModel::ShortRateTree >, and TreeLattice< TwoFactorModel::ShortRateTree >.
|
pure virtual |
Roll back an asset until the given time, performing any needed adjustment.
Implemented in TreeLattice< Impl >, TreeLattice< BlackScholesLattice< T > >, TreeLattice< OneFactorModel::ShortRateTree >, TreeLattice< TwoFactorModel::ShortRateTree >, and TsiveriotisFernandesLattice< T >.
|
pure virtual |
Roll back an asset until the given time, but do not perform the final adjustment.
with the two statements:
Implemented in TreeLattice< Impl >, TreeLattice< BlackScholesLattice< T > >, TreeLattice< OneFactorModel::ShortRateTree >, TreeLattice< TwoFactorModel::ShortRateTree >, and TsiveriotisFernandesLattice< T >.
|
pure virtual |
computes the present value of an asset.
Implemented in TreeLattice< Impl >, TreeLattice< BlackScholesLattice< T > >, TreeLattice< OneFactorModel::ShortRateTree >, and TreeLattice< TwoFactorModel::ShortRateTree >.
|
protected |
Definition at line 95 of file numericalmethod.hpp.


TropTop QUIZ
welcome to the troptop quiz game.
CONTINUE
how everything works. I guess you are really dull to not even know the rules for such an easy game
you answer questions
each question has 4 possible answers
a life is removed when answering wrongly
you gain points when answering correctly
CONTINUE
in case you did not know, I need your name
enter your name here:
START GAME
choose difficulty mode
easy mode
medium mode
hard mode
0
points
Who was the first president of the US?
lives
you lost with
points. and you selected
mode


Sentiment Analysis
Have you Ever wondered what sentiments are behind the reviews on amazon or maybe what some says or what someone writes. Here we have created an elegant solution to such queries by having analysis of these sentiments from the given input


{% load i18n %} {% load hq_shared_tags %} {% if request|toggle_enabled:"ENABLE_ALL_ADD_ONS" %}
All add-ons are enabled for this app.
{% blocktrans %} Add-ons enable you to build more complex applications. {% endblocktrans %}
{% include 'hqwebapp/partials/generic_feature_upgrade.html' %}
{% blocktrans %} You have previously enabled this feature in your app, but have since lost access to it. {% endblocktrans %} {% blocktrans %} Your application will continue to function in places that utilized this feature, but you will not be able to edit any related functionality until you upgrade. {% endblocktrans %}


last modified: 2017-02-19
Clément Levallois
This plugin is created by Matthieu Totet, who is a long time community member of Gephi (check his Gephi Streamer!)
You can find additional documentation on this plugin on Matthieu’s website.
This plugin enables you to:
Collect tweets in realtime, on the topic you choose
Get the connections between the users mentionned in these tweets
Visualize these connections in Gephi, or just export all the tweets to Excel
| The setup of the plugin will need you to create a Twitter account, if you don’t already have one. Get your Twitter login and password ready. You also need a mobile phone number where your Twitter account can be confirmed. |
Setting up a Twitter account and creating a Twitter app is a boring task. It takes just 15 minutes, and you have to do it just once. Then you’ll have Twitter at your fingertips. Let’s go! |
We need now to connect to a Twitter account. If you already have a Twitter account and you are logged in, skip to here.
| You have received an email by Twitter about the sign up. At some point (but now would be a good time), you must click on the link in this email to confirm it. |
The next screens of the sign up for Twitter are not important for us. Just follow the steps until you get to the page showing your Twitter profile, meaning the setup is finished.
You now have a Twitter account. We need to create a Twitter app which will authorize us to collect tweets automatically via Gephi
Go to https://apps.twiter.com:
INFO: Almost there!!
Well done. This setup had just to be done once. Your credentials are saved and will be loaded at each run. Now we can start using the plugin.
With the Words to follow tab, you will be able to follow one or multiple words. For hashtags , just enter the word without the hash in front of it. (e.g if you want to follow '#Gephi' just add 'Gephi')
With the Users to follow tab, you will be able to follow the activity of one or multiple users. Any tweet from this user or retweeting or mentioning the user will be captured.
You can combine the 2 tabs, the tweet collected will be matching either the Words to follow query or the User to follow query
The Load Query File and Save Query File buttons are here to save your search queries in a file or to load it from a file. It’s convenient if you have a long list of words / users.
A Network Logic means: what should be done with an incoming tweet? How to transform it as a set of nodes and edges?
There are for the moment 3 Network Logics to choose from:
Full Twitter Network : This will represent all entities (User, Tweet, Hastags, URL, Media, Symbol etc…) as a graph.
User Network : This will represent the interaction between users. Any mentions, retweets or quotes between 2 users, will be represented. The size of the edge represent the number of interactions between 2 users.
Hashtag Network : This will create the network of hashtag.
In the following, we use the network logic "User Network":
Be careful that if you choose very common terms, tweets will arrive fast and in large volumes.
If you don’t have enough memory (RAM) on your computer, this could make it crash.
Click on "disconnect" to stop the collection of tweets.
You can see the users organize spatially in real time, while the tweets are being collected.
Just run Force Atlas 2 in the "Layout" panel. This will not interrupt the collection of tweets.
Shift to the data laboratory
to view the data collected, in a spreadsheet format:
There, you can export nodes and relations ("edges") as csv files by clicking on "Export table".
When you are finished with your stream, you can use the timeline feature to replay the stream of data and look at a particular time window.
This feature is still experimental and is higly subject to bug.
Visit the Gephi group on Facebook to get help,
or visit the website for more tutorials


Queries
In this section I'll show how the calculus notation can be used to formulate queries, using examples from Chapter 5. Again, please note that the formulations shown aren't the only ones possible, in general.
- Example 1
Get suppliers in Paris.
s WHERE s.CITY = 'Paris'
- Example 2
Get suppliers who supply at least one part.
s WHERE EXISTS sp ( sp.SNO = s.SNO )
- Example 3
Get all supplier name/status/city combinations.
s.SNAME, s.STATUS, s.CITY
We could harmlessly add WHERE TRUE to the foregoing formulation.
- Example 4
Get the join of suppliers and shipments.
s, sp.PNO, sp.QTY WHERE s.SNO = sp.SNO
- Example 5
Get the union of supplier cities and part cities.
u RANGES OVER { s.CITY, p.CITY }
u
Bound variable u is defined to range over the union of supplier cities and part cities.
- Example 6
Get suppliers who supply no parts at all.
s WHERE NOT ( EXISTS sp ( sp.SNO = s.SNO ) )
- Example 7
Get parts with their weight in grams.
p, ( p.WEIGHT * 454 ) AS GMWT
- Example 8
For each supplier, get the supplier number and a count of the number of parts that supplier supplies.
s.SNO, COUNT ( sp WHERE sp.PNO = s.SNO ) AS P_COUNT
|


GEE
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Inserting Comments into a File List
Selected from the Insert button menu in the file list dialog.
Selecting Comment from the Insert menu inserts a single blank line into your file list at the current cursor position.
The description editor is then started allowing you to type in whatever text you like; this text can extend over more than one line, the comment in your file list being expanded as required when you leave the description editor.


[gecode-users] Graph adjacency constraint
Christian Schulte
cschulte at kth.se
Thu Nov 8 22:36:26 CET 2007
Please consider the element constraint. Other options are extensional table
constraints, which will be available in Gecode 2.0.0.
Unless you want to transform your graph representation to an adjacency rep
which is obviously more suited to constraint programming.
BTW, Gecode 2.0.0 will be released next Monday. Gecode/J 2.0.0 will follow
suit a little later.
Christian
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Malcolm Ryan
Sent: Thursday, November 08, 2007 9:32 PM
To: users at gecode.org
Subject: [gecode-users] Graph adjacency constraint
Hi,
I have a graph expressed as an adjacency matrix M and I want to
constrain IntVars X,Y such that M[X][Y] is true. Is there an easy way
to do this in Gecode/J?
Malcolm
--
Many clever men like you have trusted to civilisation.
Many clever Babylonians, many clever Egyptians,
Many clever men at the end of Rome.
- G.K.Chesterton, The Napoleon of
Notting Hill
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


I was sitting on the floor of my friend Debra's room one evening, when a friend of hers came round to see her. They hadn’t seen each other for ages and just sat there chatting and catching up, and basically just ignored me. I’d never met Suzy before, and I started to listen to some of what was said. As I did so, something began to happen.
While Suzy was talking to Debra about some traumatic experience she’d just been through, I felt myself connecting with her in a way I’d never experienced before. I realised that I knew exactly what she was talking about. It wasn’t that I could read her mind, it felt more like I was her mind! The words she was using to describe her experiences were also describing my experiences too. Her observation of life and her attitude were somehow also me. It took me a while to get used to this bizarre perception, but the moment I started feeling comfortable with it, it changed into something else. I began communicating with her using only my mind; it happened completely spontaneously, but it was totally unlike any form of mental communication I’d ever heard about. As I ‘asked’ her things, the words she was using to reply to Debra’s questions, which were of course totally different, would somehow answer my questions too! It felt really weird, yet at the same time perfectly normal.
Suzy left a few hours later; Debra saw her to the door. The moment she left the room, things started to change again. I could feel it coming and it seemed to wait for Debra to return.
The moment Debra came back in, I entered into this incredible state of ecstasy. It felt like something was descending into me, allowing me to experience the world from a perspective that was totally different, it was almost indescribable. I felt as if something very old was either trying to come in from the outside, or was pushing out of me from the inside. Whatever it was, I felt like I was becoming something else, something far more real than I could possibly imagine. The feeling of knowing that this was what was happening was so wonderful that tears just poured down my cheeks.
I went through a number of physical reactions: My mouth tightened into a closed ‘O’ shape, and my hands came up to just below my chin, tingling as if with ‘pins and needles’. The area around my solar plexus felt like it was pulsating with energy. The experience lasted about ten or fifteen minutes. Debra just sat on the bed watching this the whole time.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


10.7717/peerj.6572/supp-5
Supplemental Information 5
PCA graphs of bioclimate variables for studied species. PCA graphs displaying contribution of climate variables for niche space for every species studied. a) Berberis trifoliolata. b) Ephedra compacta. c) Leucophyllum laevigatum. d) Lindleya mespiloides. d) Setchellanthus caeruleus.
Click here for additional data file.


| DOSE: |
5 hits |
oral |
LSD |
(liquid) |
LSD is the most amazing physocactive wonder in the entire world. It is a marvel that helps me and many other create a world in there mind that is different from the outside world and one that one can live out all there dreams and nightmares for that matter.
I had one of the most wonderful experiances of my life on the wonderful drug of LSD. My dosage was 5 liquid hits and I am at shame to admit my age of only 15 years old with such strong drug experiances. Me and a friend of mine named D. Bought 4 sugar cubes two for each of us. My friend in the car put 5 liquid hits on two cubes (2 on one, 3 on the other) at 12:45 AM. I went home and immediately me and D. dosed all of the hits.
It was a over an hour before I started to take any notice and I didn't even take notice until after smoking a boul out of 'big red' properley titled because of it size and after my favorite football team the Nebraska Cornhuskers. Then we went upstairs and started playing a multi-player game on my Nintendo 64 and then it started to begin.
I had the most intense feeling to kill everyone in the game. I started shooting anyone and everyone while watching light spectrums on the big screen zooming in and out. I saw tracers fly past every bullet. My heart pounded. After about 25 more mintues I started my very long peak. At which point things got very interesting.
This is 100% fact and is in no way shape or form made up. It began with seeing players from the game in the house. I was starting to feel as if I was in the game and I had a gun of my own. I then without any reason at all stuck my face to the tv and for about an hour I thought I was in the game. My friend D. told me I was sitting the whole time but in my mind I would fly around corners shooting my bullets with tracers golare.
When I got hit with a bullet I could almost feel it in my body. I started to get upset and started to go insane. Running all over the map shooting anyone and everyone who opposed me. I begain screaming wildly. I remember once I was being chased so bad I aimed the gun at my head and pulled the trigger four times. Each time I could feel the bullet pierce my skin but when I checked nothing had happened. I turned around fell over and began to throw up humungous chunks. I thought I was dying in real life or at least something bad was going to happen. I came down to my computer and wrote the following lines.
'As I sit here I feel as if I am going insane. I see visions of blood, god, warriors and war. I cannot escape it and I fear I will be in this world for the rest of my physcotic life'
I know not all what I went through. I have been through very much for my age. In my opinion, LSD is the drug that will help anyone deal with anything.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Trader in court over fraud
Nkawie (Ash) Nov. 18, GNA – A 27 year old trader who allegedly defrauded a midwife of her GHȼ10,000.00 under the pretext of securing her a building plot at Abuakwa Mim in the Atwima Nwabiagya Municipality, has been remanded into police custody by the Nkawie Circuit Court.
Kwaku Boakye, the accused, whose plea was not taken, would make his next appearance in the court presided over by Mr Michael Johnson Abbey on November 26, this year.
Detective Chief Inspector Comfort Amankwaa prosecuting, told the Court that the complainant Mary Abrafi, a midwife at the Suntreso Government Hospital in Kumasi, was introduced in October this year to the accused by another person, known as Osei.
She said accused claimed he had a building plot for sale at a value which amounted to GHȼ10,000.00.
The Prosecution said the complainant agreed to buy the property and after she had been taken to the site to inspect it, she paid the said amount to the accused.
Detective Chief Inspector Amankwaa said complainant later visited the said land only to realize that it was being developed by another person who claimed to have bought it from the Chief of Achiase in the Municipality.
Prosecution said, accused then went into hiding and refused to pick calls from the complainant till November 9 this year, when he was arrested at Abuakwa and sent to the Nkawie Police Station.
She said the accused confessed to the crime in his cautioned statement and was charged after investigation.
GNA


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See what our customers think of us. We make our patients' experience our #1 priority. Here is what they have to say about us.
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Dr. Cheonil Park is a board certified chiropractor in the state of New Jersey and New York. He received his doctorate of chiropractic degree from New York Chiropractic College.
As a BioPhysics® practitioner, Dr. Park has a vast amount of knowledge in human biomechanics, nutritional, rehabilitation exercises and ergonomics. He also has advanced knowledge in structural dysfunctions of the spine in relationship to our nervous system and functions of the body.
Dr. Park believes that chiropractic profession needs to provide valuable and reliable health information to the public and help every people to be aware of what ideal spine can do to their health.
He loves to train hard, serve big, love large, and live out loud.


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| CS 229 Machine Learning |
A Framework for Stock Prediction. Hung Pham, Andrew Chien and Yongwhan Lim. [pdf]
A Generalized Method to Solve Text-Based CAPTCHAs. Jason Ma, Bilal Badaoui and Emile Chamoun. [pdf]
A Machine Learning Approach to Stroke Risk Prediction. Yu Cao, Hsu-Kuang Chiu, Aditya Khosla and Cliff Chiung Yu Lin. [pdf]
A Novel Authentication Mechanism Using Mobile Virtual Signatures. Nikhil Handigol,Te-Yuan Huang and Chi Liu. [pdf]
A SVM approach to stock trading. Christopher King, Christophe Vandrot and John Weng.[pdf]
Adaptive Execution with Online Price Impact Learning. Beomsoo George Park.[pdf]
AI Mahjong. Wan Jing Loh.[pdf]
Algorithm Trading using Q-Learning and Recurrent Reinforcement Learning. Xin Du, Koupin Lv and Jinjian Zhai.[pdf]
An Adaptive Agent for No-Limit Texas Hold 'em Poker. David O'Steen.[pdf]
An Empirical Study of Machine Learning Techniques used for Enhancer Classification. Harendra Guturu and Ankush Singla.[pdf]
Applying Machine Learning in Game AI Design. Yanzhu Du, Shisheng Cui and Stephen Guo.[pdf]
Automatic Beat Alignment of Rap Lyrics. Sang Won Lee and Jieun Oh.[pdf]
Automatic Fatigue Detection System. Tomas Tinoco De Rubira.[pdf]
Automatic Graph Classification. Brian Lukoff.[pdf]
Automatic identification of glomerulus in the antenna lobe of Drosophila . Li Liu, Liang Liang.[pdf]
Automatic Ranking of Images on the Web. HangHang Zhang, Zixuan Wang.[pdf]
Automatic Recognition of Satire in Web Content. Michael Abercrombie.[pdf]
Automatic Segmentation of Clothing for the Identification of Fashion Trends Using K-Means Clustering. Michael McDaniels and Marcelo Worsley.[pdf]
Automatic Segmentation using Learning Algorithms for High Resolution MRI of the Larynx. Reeve Ingle, Kie Tae Kwon.[pdf]
Automatic Transcription of Solo Piano Music. Alex Landau.[pdf]
Bot Detection via Mouse Mapping. Evan Winslow.[pdf]
Bubble Clustering: Set Covering via Union of Ellipses. Matt Kraning, Arezou Keshavarz and Lei Zhao.[pdf]
Chinese Sentence Tokenization Using a Word Classifier. Benjamin Bercovitz.[pdf]
Classification of Amazon Reviews. Mayank Agarwal and Maneesh Bhand.[pdf]
Classification of Genes Using Codon Usage. Christina Fan.[pdf]
Classification of Hyperspectral Breast Images for Cancer Detection. Sander Parawira.[pdf]
Classification of Synapses Using Spatial Protein Data. Jenny Chen and Micol Marchetti-Bowick.[pdf]
Classifying Relationships Between Nouns. Jun Araki and Heeyoung Lee and Erik Kuefler.[pdf]
Click Prediction and Preference Ranking of RSS Feeds. Steven Wu.[pdf]
Clustering Blogs Based on Stylistic Characteristics. Matin Movassate and Christopher Lin.[pdf]
Collaborative Filtering on Sparse Rating Data for Yelp.com. Jason Fennell.[pdf]
Controller Design For a Wall Landing Airplane. Alexis Lussier Desbiens and Etienne Le Grand.[pdf]
Convolutional Restricted Boltzmann Machine Features for TD Learning in Go. Peter Pham and Yan Largman.[pdf]
Deep Networks on the GPU. Michael Harris, Jae Hyun Park and Jeffrey Wang.[pdf]
Detecting Chronic Pain with Structural MRI. Hoameng Ung.[pdf]
Detection of faults in Antenna Array using SVM. Srkanth Rajagopalan, Mandar Joshi and Vinesh Gudla.[pdf]
Discovering Visual Hierarchy through Unsupervised Learning. Haider Razvi.[pdf]
Document Retrieval by Similarity. Firouzeh Jalilian, Haiyan Liu and Jia Pu.[pdf]
Does This Shirt Go With This Tie?. Monique Ryan, Dave Willis and Pranav Khaitan.[pdf]
EigenHot or EigenNot. Noah Youngs.[pdf]
Enabling intelligent traffic flow management in Wireless LAN's using Markov Decision Process tools. Sonali Aggarwal and Shrey Gupta.[pdf]
Estimating Human Pose in Images. Navraj Singh.[pdf]
Estimating Missing Temporal Attributes In Genealogical Data. Nam Wook Kim.[pdf]
Face tracking in video. Hamidreza Khazaei, Pegah Tootoonchi Afshar.[pdf]
Favorites-Based Search Result Ordering. Ben Flamm and Geoffrey Schiebinger.[pdf]
Feature Selection Methods for SVM Classification of Microarray Data. Mike Love.[pdf]
Finding a Basis for the Neural State. Chris Cueva.[pdf]
Finding Optimal Hardware Configurations For C Code. John Clark and Ilana Segall.[pdf]
Finding the Augmented Neural Pathways to Math Processing. Gary Tang.[pdf]
Force Feedback Learning Applied to Robot Object Handling. Cason Male.[pdf]
Formation Flight. Zouhair Mahboubi and Tao Wang.[pdf]
Functional Connectivity and Distributed Classification of the Human Brain . Barry Chai.[pdf]
Generalized Neutral Portfolio. Sandeep Bhutani.[pdf]
Grant Prediction with Network Features. Stefan Krawczyk.[pdf]
Hedging and Pricing Options using Machine Learning. Jacob Kolind, Jonathan Harris and Karol Przybytkowski.[pdf]
Identification of Cancer-relevant Variations in a Novel Human Genome Sequence. Robert Bruggner.[pdf]
Identification of nano-particle absoption by circulating macrophage. Melisa Orta, Kimberlee Shish, and Brendan Tracey.[pdf]
Identification of Neuroimaging Biomarkers. Dan Goodwin, Tom Bleymaier and Shipra Bhal.[pdf]
Identifying Hand Configurations with Low Resolution Depth Sensor Data. Sameer Shariff and Ashish Kulkarni.[pdf]
Inferring Passenger Boarding and Alighting Preferences for Marguerite. Adrian Albert.[pdf]
Integrated Analysis of Breast Cancer Gene Expression, Morphology, and Patient Survival. Andrew Beck, Winnie Cheng and Franklin Wu.[pdf]
Intuition. Kevin Montag.[pdf]
Investigation of error tolerant nature of machine learning algorithms. Hyungmin Cho.[pdf]
Learning 3D Point Cloud Histograms. Brian Jones and Michel Aoun.[pdf]
Learning and Visualizing Political Issues from Voting Records. Erik Goldman, Evan Cox and Mikhail Kerzhner.[pdf]
Learning Stereo Features with Stacked Autoencoders. Jin Hao Daniel Chia, Pang Wei Koh and Zhenghao Chen.[pdf]
Learning the Statistics of Wireless Links. Sina Firouzabadi.[pdf]
Learning to Grasp Objects: A Novel Approach for Localizing Objects Using Depth Based Segmentation. Deepak Rao, Arda Kara and Serena Yeung.[pdf]
Learning to Splash. Wen Zheng.[pdf]
Lifetracker. Carlin Eng, Tim Su and Vala Dormiani.[pdf]
Machine Learning for PreEmptive Identification of Unix Servers with Performance Problems. Helen Cunningham.[pdf]
Machine Learning for Well Testing. Yang Liu and Yinfeng Qin.[pdf]
Machine Learning In Statistical Arbitrage. Xing Fu and Avinash Patra.[pdf]
Mapping geometry in heart rate data. Jeffrey Danciger, Gunnar Carlsson, Jason Morton.[pdf]
Markov Decision Process Social Recommender. Ruangroj Poonpol.[pdf]
Mean Variance Optimization and Beyond. Vasileios Skylogiannis and Jing Xu.[pdf]
Mining Sentiment from Form 10K. Praveen Kumar Bodigutla.[pdf]
Mood Detection: Implementing a facial expression recognition system. Neeraj Agrawal, Rob Cosgriff and Ritvik Mudur.[pdf]
MRI Based Machine Learning For The Identification of Novel Subtypes in Autism.. Chris Piech, Divye Khilnani, Sudarshan Thitte.[pdf]
Multi-touch Multi-robot Interface. David Millman.[pdf]
Multiclass SVM's for Olfactory Classification. Michael Styer.[pdf]
Musical Instrument Signal Separation from Popular Songs. Seung Choi.[pdf]
N-gram-based Text Attribution. Patrick Leahy.[pdf]
Online Learning for URL Classification. Onkar Dalal, Devdatta Gangal.[pdf]
Online Parameter Estimation for the Adaptive Control of UAVs. Tristan Flanzer, S. Andrew Ning.[pdf]
Opponent Modelling in Heads-up NL Holdem. Jon Harris, Vianney Hocquet and Pierre Thomas.[pdf]
Person Following on STAIR. Carl Case.[pdf]
Playing Strong Poker. Rafael Witten, Haithem Turki and Yuze Huang.[pdf]
Portfolio Optimization Under Time-Varying Economic Regimes. Jiho Han and Cory Turner.[pdf]
Practical Option Pricing with Support Vector Regression and MART. Ian Choo.[pdf]
Predicting Age Using Biomarkers and Physiological Measurements. Huy Seng.[pdf]
Predictions and Rankings in College Football. Dennis Qin.[pdf]
Question Classification. Richa Bhayani, Tejaswi Tenneti, Gaurav Aggarwal.[pdf]
Rapid Natural Scene Text Selection. Ben Newhouse.[pdf]
Recognizing Informed Option Trading. Alex Bain, Prabal Tiwaree, Kari Okamoto.[pdf]
Region of Interest Identification in Breast MRI ImageRegion of Interest Identification in Breast MRI Images. Jason Forshaw and Ryan Volz.[pdf]
Relational RSS Clustering Techniques. Richard Roesler.[pdf]
RISK: A Case Study In Applying Learning Algorithms To Strategy Board Games. Chris Meill and Bharath Sitaraman.[pdf]
RoboChef: Automatic Recipe Generation. Rahul Agarwal, Daniel Jachowski, and Shengxi David Wu .[pdf]
Sentiment Analysis of Microblogs. Vipul Pandey and C.V.Krishnakumar Iyer .[pdf]
Server Load Prediction. Suthee Chaidaroon, Joon Yeong Kim and Jonghan Seo.[pdf]
Single Image Depth Estimation from Predicted Semantic Labels. Beyang Liu.[pdf]
SNPrints: Defining SDP signatures for prediction of onset in complex diseases. Linda Liu, Daniel Newburger, Grace Tang.[pdf]
Spoken Language Identification With Hierarchical Temporal Memories. Dan Robinson, Kevin Leung, and Xavier Falco.[pdf]
Starcraft Map Imbalance Prediction Based on Chosen Build Order. Andrew Spann, Eleanor Lin and Hyunseung Kang.[pdf]
Static Positional Evaluation of Chess Positions. Sam Cross.[pdf]
Stock Forecasting using hidden markov processes. Minyong Shin and Joohyung Lee.[pdf]
Structural Motif detection in high-throughput structural probing of RNA. Diego Munoz, Sergio Pablo Sanchez Cordero.[pdf]
Supervised Entity and Relation Extraction. Andrey Gusev and Mason Smith.[pdf]
Supervised Learning in Genre Classification. Mohit Rajani, Luke Ekkizogloy.[pdf]
Tag Recommendation for Photos. Gowtham Kumar Ramani, Rahul Batra and Tripti Assudani.[pdf]
Toward a NIRS Brain Computer Interface. Ilya Sherman, Nikil Viswanathan and Tony Wu.[pdf]
Transcription start site description. Matt Fisher, Max Libbrecht.[pdf]
Unsupervised Clustering with Axis-aligned Rectangular Regions. Sung Hee Park and Jae-Young Kim.[pdf]
Value Iteration and DDP for an Inverted Pendulum. Greg Horn.[pdf]
Variants of Pegasos. SooWoong Ryu, Youngsoo Choi.[pdf]
Video Presentation Slide Alignment. Apurva Shah.[pdf]
Video Restoration using Multichannel-Morphological Component Analysis Inpainting. Adam Backer, Benjamin Rolfs, Felix Yu.[pdf]


8th semester #
SS14, lukas.prokop [@] student.tugraz.at
This is my 8th semester at University of Technology, Graz. And this is my studies overview.
- Last update
- Curricula
- BSc SDBM BSc CS MSc CS
- Jabber configuration
- Jabber config
- VPN configuration
- VPN config
- Courses
- courses
- Archive
- Previous semester
- 8th semester
- 20 courses, 80.5 ECTS, 2 MOOCs, no tutorial groups
Studies
BSc SDBM
BSc CS
MSc CS
| ECTS todo | ECTS done | success rate | SDBM done | CS done | SDBM optional courses | CS optional courses | |
| 1st sem | 38 | 25.5 | 67% | 7 / 53 | 7 / 54 | 1 / 12 | 2 / 12 |
| 2nd sem | 29 | 31 | 81% | 13 / 53 | 15 / 54 | 9.5 / 12 | 4.5 / 12 |
| 3rd sem | 37 | 37 | 68% | 25 / 53 | 26 / 54 | 12 / 12 | 10.5 / 12 |
| 4th sem | 42.5 | 32 | 66% | 34 / 53 | 37 / 54 | 12 / 12 | 12 / 12 |
| 5th sem | 53 | 28.5 | 52% | 38 / 53 | 45 / 54 | 12 / 12 | 12 / 12 |
| 6th sem | 72.5 | 24.5 | 34% | 46 / 53 | 49 / 54 | 12 / 12 | 12 / 12 |
| 7th sem | 69 | 39 | 56% | 48 / 53 | 51 / 54, 12 / 36 | 12 / 12 | 12 / 12, 4.5 / 8 |
| 8th sem | 80.5 | 60 | 75% | 51 / 53 | 51 / 54, 12 / 36 | 12 / 12 | 12 / 12, 7.5 / 8 |
Public content #
Collected by various semesters. Currently the documents are a chaotic system. PDF files unless stated otherwise.
- “Advanced Computer Networks” (TeX sources)
- “Architecture of Distributed Systems” (course summary)
- “Definitionen aus der LV Analysis T1” [source] (course summary, math cheatsheet)
- “Bayes' Theorem: The Monty Hall Problem” [source]
- “Boolean cheatsheet” [source] (math cheatsheet)
- “BuBi Notizen” [source] (course notes)
- “Combinatorics lecture notes” (pretty messy)
- “Konvergenzkriterien” [source] (course summary)
- “CTCS List of evaluated nimbers” (nimbers for various games)
- “Databases and relations” (database theory cheatsheet, based on DB courses)
- “Datenbanken 1” (course summary)
- “Digital Libraries” (course summary)
- “Fragenausarbeitung Einführung in das Studium der Informatik” [source] (exam question elaboration)
- “VO Einführung in die Softwareentwicklung-Wirtschaft Fragenausarbeitung” [source] (exam question elaboration)
- “Einheiten der Elektrodynamik” (electrical engineer's cheatsheet)
- “EWM answers” [text] (exam question elaboration)
- “EWM questions” [text] (exam questions)
- “EWM terminology” [text] (knowledge management terminology)
- “Fundamentals of Operating Systems Notes” (course summary)
- “GDI exam” [text] (exam overview)
- “Sammlung der Probleme aus der LV GDI” [source] (exam questions/problems)
attached: nfa_1.pdf [source], nfa_2.pdf [source], nfa_3.pdf [source] - “Grundlagen der Informatik” (lecture notes, github)
- “GPG discussion” [HTML] (An archived newsgroup discussion about GnuPG)
- “RO Modellprüfung ausgearbeitet” [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [JPEG] (exam question elaboration)
- “Logic and Logic Programming Introduction” [Prolog] (prolog source code examples
- “Problems of linear algebra with numpy and scipy” [python] (introductory problems of the course solved in python)
- “NO lecture notes”
- “NRLA cubic spline exercise” (exercise solution)
- “NRLA {pseudo inverse, qr decomposition, cubic spline} exercises” (exercise solution)
- “NRLA summary” [source] (course summary)
- “Number theory” [source] (math cheatsheet)
- “OS Notes/summary”
- “Parity cheatsheet” [source] (math cheatsheet)
- “Pascal's triangle” [source] (math cheatsheet)
- “Project management notes” (project management notes and exam questions)
- “Exercise collection for mathematical proofs” [source] (math exercises collection, very incomplete)
- “QASD summary” [RST]
- “RNO Ausarbeitung” (exam question elaboration)
- “RNO cheatsheet” [source] (course summary)
- “Software architecture” [source] (course summary)
- “Security aspects in software development” (course summary)
- “Software development in distributed environments” (course summary)
- “Software paradigms exam 27.6.2011” [source] (SWP exam elaboration)
- “Theoretical Computer Science 2” (the very comprehensive lecture notes) [sources]
- “WFI summary” [source] (course summary)
- “WSWT summary”
Small tools
Might only be applicable to a specific course at a specific semester.
- “Dexalyser” [python] (binary file beautifier)
- “GDI AngabeVier Beispiel 2 Testsuite” [perl] (testsuite)
- “GDI AngabeVier Beispiel 3 Testsuite” [perl] (testsuite)
- “GDI exam grade probability” [python] (probability calculator)
- “RNO I/O generator” [python] (file format converter)
- “An incomplete TOY to ASM compiler” [C] (compiler)
MOOCs
Notes of finished courses
- “Algorithms: Design and Analysis, Part 1” (Coursera, Stanford University, Tim Roughgarden)
- “Algorithms: Design and Analysis, Part 2” (Coursera, Stanford University, Tim Roughgarden)
- “Games without Chance: Combinatorial Game Theory” (Coursera, Georgia Institute of Technology, Tim Morley)
- “Introduction to Mathematical Philosophy” (Coursera, LMU Munich, Hannes Leitgeb & Stephan Hartmann)
- “Software As A Service” (EdX, UC Berkeley, Armando Fox & David Patterson)
- “Strategic Management” (Open2Study, Mo Kader)
Courses #
- Compiler construction
- Theoretical task 1 (deadline 14.03.19)
- Theoretical task 2 [2.5a] (deadline 14.04.09)
- Theoretical task 3 (deadline 14.05.15)
- Programming assignment 1 [void functions, float] (deadline 14.04.02)
- Programming assignment 2 (deadline 14.05.07)
- Programming assignment 3 (deadline 14.05.28)
- Programming assignment 4 (deadline 14.06.18)
- Discrete Stochastics and Information Theory
- Assignment 1, 14.03.19
- Presentation of an exercise, 14.03.18
- Assignment 2, 14.03.26
- Presentation of an exercise, 14.03.26
- Assignment 3, 14.04.02
- Assignment 4, 14.04.09
- Assignment 5, 14.05.07
- Assignment 6, 14.05.14
- Assignment 7, 14.05.21
- Assignment 8, 14.05.28
- Assignment 9, 14.06.04
- Assignment 10, 14.06.11
- Assignment 11, 14.06.18
- Assignment 12, 14.06.25
- Enumerative Combinatoric Algorithms
- First partial exam
- Second partial exam
- IT security
- S/MIME email registration (deadline 14.03.13)
- Task 1 & 2 (deadline 14.04.09)
- Task 3, 4 & 5 (deadline 14.05.28)
- Group interviews (14.06.11)
- Applied cryptography
- Assignment 1 (deadline 14.03.18)
- Presentation of an exercise (14.03.18)
- Assignment 2 (deadline 14.03.25)
- Assignment 3 (deadline 14.04.01)
- Assignment 4 (deadline 14.04.08)
- Assignment 5 (deadline 14.05.07)
- Assignment 6 (deadline 14.05.14)
- Presentation of an exercise (14.05.14)
- Assignment 7 (deadline 14.05.21)
- Assignment 8 (deadline 14.05.28)
- Assignment 9 (deadline 14.06.04)
- Assignment 10 (deadline 14.06.11)
- Assignment 11 (deadline 14.06.18)
- Selected Topics in Design and Verification
- Homework 1 (deadline 14.03.21)
- Homework 2 (deadline 14.03.28)
- Homework 3 (deadline 14.03.28)
- Homework 4 (deadline 14.04.04)
- Homework 5, pyCUDD (deadline 14.04.11)
- Homework 6 (deadline 14.05.16)
- Practicals assignment (deadline 14.05.30)
- Computer Vision 2
- task2 (deadline 14.06.20)
- Exercise talk (deadline 14.07.03)
- Exam (14.07.04)
Old courses #
- Advanced Computer Networks
- Propose exam dates
- Elaborate questions
- Take exam
- Cost Accounting
- Practice exercises
- Business Economics
- Finish elaboration
- Practice exercises
- Introduction to Knowledge Processing / Computational Intelligence
- Elaborate SPSC questions
- Theoretical Computer Science 2
- Create definition sheet
- Specify exam date
- Take exam
Exams #
- KoRe exam (done.)
- CI/IKP exam (done.)
- SASD exam (nope.)
- CC exam (nope.)
- KoRe exam (done.)
- ECA partial exam (done.)
- AC partial exam (done.)
- ITS exam (nope.)
- AC exam (nope.)
- ACN exam (nope.)
- CI exam (done.)
- CC exam (done.)
- AC partial exam (done.)
- ECA exam (done.)
- BWL/KoRe exam (nope.)
- AC exam (done.)
- ITS exam (nope.)
- CV2 exam (done.)
- SASD exam (nope.)
- TCS2 exam (nope.)
- DSIT exam (nope.)
- BWL exam (done.)
- ACN exam (done.)


Over 100 years of data, information and imagery has been captured in the many datasets available for GovHack, but how does the average person connect with this? Do they care what the rainfall was on the 1st March 1965? Do you want to browse photos from 60 years ago? Maybe, maybe not. However, every person has a nostalgic interest in the events around the time of their birth, their families births, their friends births – how has the world changed? Was I born on a rainy day? How much did bread cost back then? Why did people wear such ‘funny’ clothes? A Day in the Life aims to take as many datasets as possible that invoke nostalgia and interest. Simply enter a date and a location and you will see a point in time snapshot of what the world looked like then. Photos from the period are selected from the National Archives, population and currency information is provided by the Australian Bureau of Statistics specific to the location selected and rainfall and temperature is displayed from the Bureau of Meteorology. To provide that extra connection to the past datasources from dbpedia have been consumed to provide information on historic events.
A Day in the Life was originally developed for GovHack 2012.
The National Archives image metadata as well as historical datasets for temperature and rainfall from BOM and population and price index from ABS were processed and loaded into MongoDB. SPARQL queries were developed to extract additional relevant linked data information from dbpedia to supplement the existing datasets. A web application providing REST-based APIs was developed to support querying and retrieving data from the datasets. A tablet-friendly Web UI was developed on top of the REST API to present the information.


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I help designers, individuals, and small businesses bring their designs or ideas to digital life on the world wide web so they can increase customer engagement, generate repeat website traffic, and improve brand presence.
As a remote freelance front end web developer in Kansas City, I can work with clients whom are located anywhere in the world. Using my PS/FW/HTML/CSS/PHP/and jQuery skills, I create the website or web application so that the client can see and interact with it directly. With a focus on cross-browser testing, HTML Semantics, and Accessibility testing, I ensure each website gives the end user the intended experience no matter what viewport device is being used. I stay updated on the latest trends in web development to not only keep my clients' websites safe, but also to stay ahead of the latest trends.
I stay active in various freelance associations, I network with other developers, and I regularly attend local meetup meetings. A web developer’s education is never done which is perfect for me because I enjoy finding new ways of doing things.
I'm a Web Developer specializing in front end development. My tools of choice are Adobe Fireworks and Pure Framework with Adaptive Images and Responsive Typography. When developing on the back end I prefer CodeIgniter and Fuel CMS for the end user. I also can build sites using Wordpress or Drupal and I'm great at customizing templates. I'm able to work solo or in a team environment. Have a project in mind; contact me and let's discuss it.
I know it's not proper ettiquette to endorse yourself, but since I don't have any I thought I would. I'm a nice guy and I'm fun at parties.
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Design and develop your website
Organise your web, domain and email hosting
Promote your website online
Maintain, update and troubleshoot your site
1 page website
Ideal for small businesses, wedding invitations etc.
Includes header, about, contact and footer section
Up to 5 pages
Includes home page, about page, contact page as well as a project portfolio for showcasing works
Features: embedded map, website contact form
Contact us to bring your online store idea to life
(See Xhibit's website for an example of our work)
If you have a crazy idea that does not fit into one of the above, feel free to contact us
Fine print: All prices provided above are estimates. We reserve the right to offer a different fee based on the project scope (but we try not to). All fees listed above pertain to our web design and development services only.


Annotation Type Response
Identifies an interface to use to interact with HTTP parts of an HTTP response through a bean.
Can be used in the following locations:
- Exception classes thrown from server-side
@RestOp -annotated methods. - Return type classes of server-side
@RestOp -annotated methods. - Arguments and argument-types of server-side
@RestOp -annotated methods. - Return type classes of server-side
@RemoteOp -annotated methods. - Client-side
@RemoteOp -annotated methods. - Return type interfaces of client-side
@RemoteOp -annotated methods.
See Also:
-
Optional Element Summary
Modifier and TypeOptional ElementDescriptionString[]
Serialized examples of the body of a response.Header[]
headers field of the Swagger Response Object.String[]
Dynamically apply this annotation to the specified classes.Class<?>[]
Dynamically apply this annotation to the specified classes.Class<? extends HttpPartParser>
Specifies theHttpPartParser
class used for parsing strings to values.schema field of the Swagger Response Object.Class<? extends HttpPartSerializer>
Specifies theHttpPartSerializer
class used for serializing values to strings.
-
Element Details
-
examples
Serialized examples of the body of a response.This is a Swagger object whose keys are media types and values are string representations of that value.
// A JSON representation of a PetCreate object. @Response ( examples={"'application/json':'{name:\\'Doggie\\',species:\\'Dog\\'}'," ,"'text/uon':'(name:Doggie,species=Dog)'" } )Used for:
- Server-side generated Swagger documentation.
Notes:
- The format is a Swagger object with string keys (media type) and string values (example for that media type) .
-
The leading/trailing
{ } characters are optional. - Multiple lines are concatenated with newlines so that you can format the value to be readable:
-
Supports SVL Variables (e.g.
"$L{my.localized.variable}" ) for the swagger generator. -
Resolution of variables is delayed until request time and occurs before parsing.
This allows you to, for example, pull in a JSON construct from a properties file based on the locale of the HTTP request.
- Returns:
- The annotation value.
- Default:
- {}
-
headers
headers field of the Swagger Response Object.Used for:
- Server-side generated Swagger documentation.
- Returns:
- The annotation value.
- Default:
- {}
-
on
Dynamically apply this annotation to the specified classes.See Also:
- Returns:
- The annotation value.
- Default:
- {}
-
onClass
Dynamically apply this annotation to the specified classes.Identical to
on()
except allows you to specify class objects instead of a strings.See Also:
- Returns:
- The annotation value.
- Default:
- {}
-
parser
Class<? extends HttpPartParser> parserSpecifies theHttpPartParser
class used for parsing strings to values.Overrides for this part the part parser defined on the REST resource which by default is
OpenApiParser
.- Returns:
- The annotation value.
- Default:
- org.apache.juneau.httppart.HttpPartParser.Void.class
-
schema
schema field of the Swagger Response Object.Used for:
- Server-side schema-based serializing and serializing validation.
- Server-side generated Swagger documentation.
- Returns:
- The annotation value.
- Default:
- @org.apache.juneau.annotation.Schema
-
serializer
Class<? extends HttpPartSerializer> serializerSpecifies theHttpPartSerializer
class used for serializing values to strings.Overrides for this part the part serializer defined on the REST resource which by default is
OpenApiSerializer
.- Returns:
- The annotation value.
- Default:
- org.apache.juneau.httppart.HttpPartSerializer.Void.class
-


Post 5: 2 > 1
In all honesty, the thought of working through the toughest coding challenges with a partner scared me at first. I worried that I would find myself matched with someone far more experienced, and would likely mess things up. I worried about trying not to mess things up, much less being able to contribute to the team. What if I was difficult to pair with? I wondered how my particular learning style would (or not) mesh with others, and was skeptical to say the least.
After my first pairing session, however, it became apparent how wrong and crazy my preceptions had been. My partner was just as inexperienced as I, and we bonded over both being so overwhelmed with all the material to learn. More than merely solve a coding challenge, we related to each other's struggles with programming and were able to offer support. Because, in the end, that's what this peer pairing program thing is all about. SUPPORT. As a young developer, we are going to need a good amount of it. And who better to know how to give that support than the person going through the same struggles as you? Matter of fact, pairing the coding experience has become my favorite part of DBC so far.
As for the feedback process, it has been shown time and time again how valuable those responses can be in a learning environment. I find it very helpful to read others' feedback, though I also admit the process is far from perfect and some of the parameters by which we are asked to judge our peers are arbitrary at best. Nevertheless, much of my own personal feedback has been spot-on and very helpful. I try to be as aware as possible of my tendency to move too quickly through a problem in search of the first solution, for example, and the feedback system makes it much easier to track my progress in working through this issue. With that value of the feedback in mind, I try to provide the most accurate and concise responses to my peers. Again, sometimes this can be difficult and seem vague. But overall, I believe feedback is paramount towards improving a learning enviornment and welcome it here at DBC!


I have recently added a home brewed weather station module to my home automation system and whilst it worked ok initially I'm now finding that after it starts transmitting data my Raspberry mounted RFM12Pi V2 stops receiving not just this new node but my other 2 nodes located elsewhere in the property. I'm thinking perhaps the transmission is failing and retrying and results in the same thing occurring for the other nodes as they all try to resend after not receiving acks.
If I switch off the weather station the other 2 nodes reappear again
Has anyone else experienced this kind of problem ?
Below is the arduino code I use for transmitting data via the RFM12B, I took out the power saving stuff as the weather station is mains powered via a 12v supply (Arduino Pro Mini)
#define USE_ACK // Enable ACKs, comment out to disable
#define RETRY_PERIOD 5 // How soon to retry (in seconds) if ACK didn't come in
#define RETRY_LIMIT 5 // Maximum number of times to retry
#define ACK_TIME 10 // Number of milliseconds to wait for an ack
typedef struct {
int temp; // Temperature reading *10
int humidity; // Humidity % *10
int gust; // Peak Wind Speed in mph*100
int wind; // Average Wind Speed in mph*100
int angle; // Wind Direction in degrees * 10
int tips; // Rain Bucket Tip Count 0.44 mm of rain per tip
int temperature; //Temperature from BMP085 * 10
int pressure; //Pressure from BMP085 in mBar
int brightness; //Brightness Value (0-1023)
} Payload;
Payload datatx;
//--------------------------------------------------------------------------------------------------
// Send payload data via RF
//-------------------------------------------------------------------------------------------------
static void rfwrite(){
#ifdef USE_ACK
for (byte i = 0; i <= RETRY_LIMIT; ++i) { // tx and wait for ack up to RETRY_LIMIT times
while (!rf12_canSend())
rf12_recvDone();
rf12_sendStart(RF12_HDR_ACK, &datatx, sizeof datatx);
byte acked = waitForAck(); // Wait for ACK
if (acked) { return; } // Return if ACK received
delay(RETRY_PERIOD * 1000); // If no ack received wait and try again
}
#else
while (!rf12_canSend())
rf12_recvDone();
rf12_sendStart(0, &datatx, sizeof datatx);
return;
#endif
}
// Wait a few milliseconds for proper ACK
#ifdef USE_ACK
static byte waitForAck() {
MilliTimer ackTimer;
while (!ackTimer.poll(ACK_TIME)) {
if (rf12_recvDone() && rf12_crc == 0 &&
rf12_hdr == (RF12_HDR_DST | RF12_HDR_CTL | myNodeID))
return 1;
}
return 0;
}
#endif
Similar code is used for the other 2 nodes although I'm thinking of making changes so at least the retries get staggered differently for each node and they don't block each other (if indeed this is what is happening)
Re: RFM12B Blocking
I've disabled Acks on the weather station and all nodes are now being received ok but I'd still like to know why the errant node not receiving an Ack apparently blocks the RFM12Pi V2 for all nodes


Hossain Ahmed Madani
+880 0158 5511
johndoegmail.com
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
To associate with a high-promoted school which will allow me to explore my knowledge and utilize my talents in the field of teaching, and eventually build a strong career in this field.
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of "de Finibus Bonorum et Malorum" (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, "Lorem ipsum dolor sit amet..", comes from a line in section 1.10.32.
Graphic Design,
HTMl
CSS
Java Script
Cycling
Travelling
Reading
Java Script


{{+bindTo:partials.standard_nacl_api}}
| class | pp::Var |
| A generic type used for passing data types between the module and the page. More... | |
| struct | pp::Var::Null |
Special value passed to constructor to make NULL . More... | |
| struct | pp::Var::DontManage |
| class | pp::Var::OutException |
This class is used when calling the raw C PPAPI when using the C++ Var as a possible NULL exception. More... |
| namespace | pp |
This file defines the API for handling the passing of data types between your module and the page.


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My first visit was a week-long, the second was a month. My third and fourth visits were about 3 weeks each and in 2019 I visited for three weeks in March and two weeks in July 2019. While most of my close friends and family have stopped saying I am crazy to go to the Middle East, I still get many people who ask “Is Jordan safe?” when I say I spend a lot of time in Jordan with my young boys and feel completely comfortable, whether it is in Amman, Petra, or Wadi Rum.
From arrival to departure, everything was taken care of. Everything explained for the day, and tours of ancient wonders told in fantastic detail. thank you "visit jordan" team, re-telling of ancient times. they kept the whole tour group engaged all the time, but also gave us free time to relax. If any dilemma rose, they was swift in rectifying it, a sign of a very personable operator. I have recommended to many people i have spoken with here, about my trip - that they should travel to Jordan and use this website
Wooow wooow wooow i think jordan’s rich blend of culture, history and scenery has long been a draw. Several civilisations have come and gone over the centuries, the distinct influences of which can still be felt today. Jordan played a key role in the powerful Umayyad empire in the early seventh century and has historically been home to the Nabateans, Egyptians, Ottomans, Romans and Greeks.


Note: any fonts installed on your system should work, but for Javascript security reasons, I can't get your computer's list. Typing in the name should work, though.


Inventory planner
Create map of your physical infrastructure.
2
Configuration
Substep B
Information
Configuration
Substep A
Substep B
Substep C
Additional
Review
Wizard content goes here


[1] view from our room was the surrounding mountains are pretty but the city is pretty drab .
[2] constant noise was unfortunate as our room was pretty amazing with a comfortable king size bed and unfortunate as our room was pretty amazing with wifi .