PhD Thesis Defense
Cassandra E. Granade
Institute for Quantum Computing
We want to build a quantum computer.
Thus, we must characterize, verify and control devices at a superclassical scale.
Can't write down result of state or process tomography experiments!
We don't know how to efficiently simulate quantum systems with classical computers.
Express characterization and control algorithms in terms of simulation, then substitute in quantum simulators.
Yields semiquantum approaches that avoid classically-infeasible simulation calls.
We extend and implement particle filters to learn Hamiltonians
We add quantum simulation resources to deal with large Hilbert spaces
We develop applications to
model selection,
region estimation, and
tracking stochastic processes
We demonstrate in
nitrogen-vacancy centers, and
neutron interferometry
We extend optimal control to include classical models
We recast optimal control as a memetic problem include quantum resources
Insight from physics also enables more new algorithms.
We use information locality to provide a potentially-scalable characterization and calibration algorithm
Likelihood function $\Pr(\text{data} | \text{hypothesis})$ represents
simulation of experimental system.
For large systems, $H$ has too many parameters to write down efficiently.
Let $H = H(\vec{x})$ be a model with less parameters.
Examples: Ising model, 2-local Hamiltonians.
Represents distributions by finite sums for efficient numerical implementation.
\begin{align} \Pr(\vec{x}) & = \sum_i w_i \delta(\vec{x} - \vec{x}_i) \\ w_i & \mapsto w_i \times \Pr(\text{data} | \vec{x}_i) / \mathcal{N} \end{align}Liu-West Resampling dynamically moves samples to recover numerical stability.
We extend to include multimodality, postselection and canonicalization
$\Pr(1 | \omega_1, \omega_2; t_1, t_2) = \cos^2(\omega_1 t_1 / 2) \cos^2(\omega_2 t_2 / 2)$
Choosing random sequences of Clifford gates effectively twirls errors.
Yields simple simulation-free likelihood:
\begin{equation} \Pr(\text{survival} | m) = A p^m + B \end{equation}
$p = (d F - 1) / (d - 1)$, $A, B$: preparation and measurement
Reference: $m\in\{1, 2, \dots, 100\}$, interleaved: $m \in \{1, 2, \dots, 50\}$.
We use prior information to accelerate learning.
Essential for use in optimal control.
Bonus: the estimates we obtain have meaningful error bars.
Extensible and flexible open-source library for Python.
import qinfer as qi
model = qi.BinomialModel(qi.RandomizedBenchmarkingModel())
prior = qi.UniformDistribution([[0.9, 1], [0.4, 0.5], [0.5, 0.6]])
updater = qi.smc.SMCUpdater(model, 5000, prior)
Replace likelihood calls with quantum likelihood evaluation, using trusted device.
Heuristics for experiment design are critical.
Simulation-free.
Once we have characterized a quantum device, how do we control it?
Gradient-ascent optimal control methods use structure of problem. We want something black box.
We use genetic crossover and mutation steps to find optimal control.
Population-based, ideal for multi-objective case.
Implement objective oracle using randomized benchmarking on a quantum simulator.
Find robust pulses by demanding non-domination over hypotheses.
Example: $ \max o(\vec{r}) = \vec{r} \text{ s.t. } \|\vec{r}\|_2 \le 1 $
Use simultaneous perturbation stochastic approximation (SPSA) to improve individual pulses $\vec{p}$.
\begin{align} \vec{\nabla} f \cdot \vec{\Delta} & \approx \frac{f(\vec{p} + \beta \vec{\Delta}) - f(\vec{p} - \beta \vec{\Delta})}{2 \beta} \\ \vec{p} & \mapsto \vec{p} + \alpha \vec{\nabla} f \cdot \vec{\Delta} \end{align}
$\vec{\Delta}$: random $\pm 1$ vector, $\alpha, \beta$: approximation parameters
Calculating gradients is hard. Projecting $\vec{\nabla} f$ onto a random vector takes 2 calls.
$\alpha, \beta \to 0$ as algorithm proceeds; can bound effect of memetic steps to provide prior information to benchmarking oracle.
Co-evolve mutation rates, memetic parameters to provide stability.
\[ I = (\vec{p}, \sigma_p, \alpha, \beta) \]
We consider controls up to $70$ MHz, but we want robustness to $\pm 100$ kHz static field, ringdown distortion, imperfect measurement of distortion.
Memetic optimization finds Pareto optimal pulses with fidelity $\ge 0.99$.
200 generations, 140 individuals, 5 hypotheses ($\pm 100 \text{kHz}$), noisy evaluation of distortion (~20 dB SNR)
Adding quantum resources to characterization and control algorithms thus yields semiquantum algorithms.
We can go further by building on physical insights…
Quantum Hamiltonian Learning is robust to approximate models.
Use information locality (Lieb-Robinson bounds) to bound error incurred by truncating qubits.
Scan observable across trusted
register and untrusted device.
Perform multiple rounds to reduce Lieb-Robinson velocity by current knowledge
of $H$.
50-qubit untrusted device, 8-qubit simulator, 4-qubit observable
Iterate compressed quantum Hamiltonian learning for each control field.
Pseudoinverse then gives control settings to implement simulation at next iteration.
50-qubit untrusted device, 8-qubit simulator, 4-qubit observable, 300 measurements/scan


|
SGCoreCs
v1.3.1
SenseGlove C# API
|
Represents a pose of a Sense Glove exoskeleton. More...
Public Member Functions | |
| SG_GlovePose (bool right, Vect3D[][] positions, Quat[][] rotations, Vect3D[][] jointAngles) | |
| Creates a new instance of a SG_GlovePose More... | |
| Vect3D[] | CalculateFingerTips (SG_HandProfile profile) |
| Calculate fingertip positions based on a user profile. More... | |
| Vect3D[] | CalculateFingerTips (Vect3D[] fingerOffsets) |
| Calculate fingertip positions, knowing the offset between thimble and fingertips. More... | |
| bool | Equals (SG_GlovePose other) |
| Returns true if this GlovePOse equals another. More... | |
| string | Serialize () |
| Convert a GlovePose into a string that can be unpacked later More... | |
Static Public Member Functions | |
| static SG_GlovePose | IdlePose (SG_GloveInfo glove) |
| Returns an idle pose for the Sense Glove if no data can be found. More... | |
| static SG_GlovePose | Deserialize (string serializedString) |
| Convert a serialized SG_GlovePose back into a useable class. More... | |
Properties | |
| Vect3D[][] | JointPositions [get, set] |
| Positions of each glove joint, relative to the Glove's Origin. More... | |
| Quat[][] | JointRotations [get, set] |
| Quaternion rotation of each glove joint, relative to the Glove Origin. More... | |
| Vect3D[][] | GloveAngles [get, set] |
| Glove joint angles in euler notation, relative to the last segment. More... | |
| bool | IsRight [get, set] |
| Determines if this GlovePose was created for a left- or right hand. More... | |
| Vect3D[] | ThimblePositions [get] |
| The position of the tip of the 'thimbles', the furthest link on each glove link. More... | |
| Quat[] | ThimbleRotations [get] |
| summary> Sum of the Sensor angles in each (xyz) direction. "Total Pronation / Flexion / Abduction" More... | |
| Vect3D[] | TotalGloveAngles [get] |
Represents a pose of a Sense Glove exoskeleton.
| SGCore.SG.SG_GlovePose.SG_GlovePose | ( | bool | right, |
| Vect3D | positions[][], | ||
| Quat | rotations[][], | ||
| Vect3D | jointAngles[][] | ||
| ) |
Creates a new instance of a SG_GlovePose
| right | |
| positions | |
| rotations | |
| jointAngles |
| Vect3D [] SGCore.SG.SG_GlovePose.CalculateFingerTips | ( | SG_HandProfile | profile | ) |
Calculate fingertip positions based on a user profile.
| profile |
Calculate fingertip positions, knowing the offset between thimble and fingertips.
| fingerOffsets |
|
static |
| bool SGCore.SG.SG_GlovePose.Equals | ( | SG_GlovePose | other | ) |
Returns true if this GlovePOse equals another.
| other |
|
static |
Returns an idle pose for the Sense Glove if no data can be found.
| glove | The glove model to use for the idle position. |
| string SGCore.SG.SG_GlovePose.Serialize | ( | ) |
Convert a GlovePose into a string that can be unpacked later
|
getset |
Glove joint angles in euler notation, relative to the last segment.
Essentially sensor angles, though placed in their proper xyz notation
|
getset |
Determines if this GlovePose was created for a left- or right hand.
|
getset |
Positions of each glove joint, relative to the Glove's Origin.
|
getset |
Quaternion rotation of each glove joint, relative to the Glove Origin.
|
get |
The position of the tip of the 'thimbles', the furthest link on each glove link.
summary> The (quaternion) rotation of the 'thimbles', the furthest link on each link.
|
get |
summary> Sum of the Sensor angles in each (xyz) direction. "Total Pronation / Flexion / Abduction"
|
get |


Create new Placard
Supplier: {{ supplier.name }}
Plantations {{ plantation.name }}
Compartment: {{ compartment.name }}
(Placards that already exists)
Select New Placard Number


Calling emojinary
by itself will call /emojinary current
.
Use the new
command to create a new emojinary for your team to solve.
/emojinary new emojinary=[] hint=[] answer=[]
Use the current
command to see the current emojinary in play.
If there isn't one in play, it will return the result of the last solved emojinary if there is one.
If you're having a tough time, use the hint
command to see if there is a clue.
/emojinary hint => i must break you!
Use the solve
command once you're ready to take a crack at an emojinary.
/emojinary solve rocky four
Use the random
command to pick an emojinary from our database.
/emojinary random
Use the forfeit
command when you just can't figure it out.
/emojinary forfeit
Use the stats
command to see how you and your teammates are doing!
/emojinary stats
Use the list
command to view all the emojinary you and your team have solved.
/emojinary list
* Only available with Pro plan. {{#unless user.active}}Upgrade to Pro by going to your settings.{{/unless}}
{{#unless loggedIn}} {{/unless}}


---
layout: default
title: Home
body_class: homepage
meta_description: Software Engineer & Speaker passionate for OOP, PHP, Magento, Symfony, Open-Source, Remote Work, Productivity Hacks and Continuous Improvement. Magento Certified Developer & Magento Certified Developer Plus.
---
Hi there, I'm Matheus Gontijo
Software Engineer & Speaker passionate for OOP, PHP, Magento, Symfony, Open-Source, Remote Work, Productivity Hacks and Continuous Improvement. 3x Magento Certified. I'm from Brazil , and currently working for an awesome Magento Consulting firm from Germany
{% for post in paginator.posts %}
{{ post.date | date_to_string }}
{% for tag in post.tags %}
{{ tag }}
{% endfor %}
{% endfor %}
{% comment %}
{% endcomment %}


yamdb¶
The Youtube Audio Matcher Database
command line tool yamdb
enables simple user interaction with the
SQL database that contains songs and fingerprints. Refer to
youtube_audio_matcher.database for more information on supported SQL
dialects/drivers.
Usage¶
usage: yamdb [-h] [-N <database_name>] [-C <dialect>] [-R <driver>]
[-H <host>] [-P <password>] [-O <port>] [-U <username>]
[-d | -r | -o <path> | -s]
optional arguments:
-h, --help show this help message and exit
database arguments:
-N <database_name>, --db-name <database_name>
Database name (default: yam)
-C <dialect>, --dialect <dialect>
SQL dialect (default: postgresql)
-R <driver>, --driver <driver>
SQL dialect driver (default: None)
-H <host>, --host <host>
Database hostname (default: localhost)
-P <password>, --password <password>
Database password (default: None)
-O <port>, --port <port>
Database port number (default: None)
-U <username>, --user <username>
Database user name (default: None)
actions:
-d, --delete Delete all rows (default: False)
-r, --drop Drop all tables (default: False)
-o <path>, --output <path>
Write the contents of the database to an output file
as JSON (default: None)
-s, --songs Print a list of songs in the database (default: False)
Examples¶
To print all songs in the database as a JSON-formatted list, use the
-s
/--songs
switch. This is demonstrated by the following sample command
and its terminal output, assuming the database name, username, and password are
all yam
.
Command
yamdb -s -U yam -N yam -P yam
Output
[
{
"id": 3,
"duration": 155.0,
"filehash": "6ba1139a7fc8cde33ff30065b45ed3c9f457f5a6",
"filepath": "/home/a92_Uxy5mq.mp3",
"title": "Some other video on youtube",
"youtube_id": "a92_Uxy5mq",
},
{
"id": 8,
"duration": 436.0,
"filehash": "c12b119ab98caee4a24eef5e7b3f4d7bf2b38f99",
"filepath": "/home/song2.mp3",
"title": null,
"youtube_id": null,
}
]
The database can also be reset using the -d
/--delete
switch (which
retains the database schema/tables but deletes all rows in the song
and
fingerprint
tables) or the -r
/--drop
switch (which drops the
song
and fingerprint
tables altogether), as demonstrated in the
following examples:
yamdb -U yam -N yam -P yam -d
yamdb -U yam -N yam -P yam -r


Custom implementation of OAuth 2 authorization server. To be able to authorize with the server register your application below.
| Registered applications | ||||||
|---|---|---|---|---|---|---|
| App name | App description | App id | App Secret | Login | App Owner | |
| Some text | Some text | Some text | Some text | Some text | Some text | Some text |


This app creates a one-stop place on the web to view and upload your portfolio to show off your work to potential clients. The problem our app solves is for clients who do not have the time or the resources to create a professional website
by themselves from scratch. Clients can use this template in a fast and efficient way to create a decently cool website to score business.
We're here to make you look good! Have a lot of work to show off? We want to help you make it more accessible for your clients!
22 years young, born and raised in Utah, Loves animals and hiking.
Occupation: Lambda Web Dev Student
Project Role: Front-end Dev
Born in Croatia, and loves dogs
Occupation: Full Stack Web Student at Lambda
Project Role: React Two: Application Functionality.
23 years young, born and raised in Illinois, loves coffee, and occasionally enjoys a strong smoke.
Occupation: Lambda Student, Full Stack Web Dev.
Project Role: Front-end Dev.
22 years young, born in Texas, currently living in North Carolina, loves coffee when it's cold outside and a strong wifi connection.
Occupation: Lambda Student, Full Stack Web Dev.
Project Role: Front-end Dev
Enjoys coding, playing games, and animals
Occupation: Project Lead/Team Lead with Lambda
Project Role: Project Lead, and Back end Dev


Multi Editor Example
// The text of this div shows up in the editor.
var thisCode = "what shows up in the editor";
function editMe() {
alert("and have fun!");
}
// The text of this div shows up in the editor.
var thisCode = "This is the second Bespin editor";
function itWorks() {
alert("really!");
}
Documentation for the latest Bespin release is on the web and included in Bespin Embedded packages.


I am a Research Scientist at Aware Inc. working on Machine Learning and Computer Vision projects. I have a passion for solving data-driven problems and learning new technologies in this rapidly growing field. Specifically, I have played around with spatial and temporal data and have done projects on Activity Recognition from Video, Image Segmentation and Time Series Analysis. In my free time, I love tinkering some code or reading technology blogs.
GPA: 3.66/4.0
GPA: 7.72/10.0
Implemented VINS-Mono and ORB SLAM2 algorithms, separately, for an Arial robot blimp for mapping a construction site. Used NVIDIA Jetson TX1 development board and monocular camera with an IMU for localizing and mapping the surrounding which used Point Cloud Library (PCL) and Robot Operating System (ROS). Co-ordinated with Hardware and Context Awareness teams to integrate their work to develop a fully functional working prototype. The reports can be found here.
Implemented activity recognition from video using Convolutional Neural Nets and LSTMs. The project aimed at implementing the paper 'Long Recurrent Convolutional Network' for benchmarking a hardware accelerator. Used Transfer Learning on VGG-16 network and obtained an accuracy of 70% for 7 different activities on UCF-101 dataset.
This project was aimed at recommending solutions to users investing in stock market by utilizing fundamental and technical analyses. The best companies to invest in was chosen using fundamental analysis and the user's portfolio was optimized to distribute the investment in different stocks to maximize returns and reduce risks. Technical analysis was implemented separately using Neural Networks and Reinforcement Learning to suggest actions (buy, sell or hold) to the user to maximize his/her portfolio.
This project was focused on estimating the respiratory rate of an individual using accelerometer data, heart rate and body temperature. 3 different models were implemented separately for estimation: Ridge Regression, Neural Networks and Hidden Markov Model.
In this project, I implemented a paper titled 'Deep Visual Attention Prediction' which focuses on predicting human-eye fixation on view-free scenes incorporating multi-saliency predictions. I was able to successfully port the original code in Caffe to Keras with 64% accuracy.
Used Markov Random Field basd approach called Graph-Cut to segment the chambers of a Foraminifera(marine species) from its edge probability map. Segmented the chambers and the aperture in the Foraminifera images to identify different types of species.
Obtained the 3D model of an object from its 2D image. Used vanishing points to obtain homography matrices and the projection matrix. Applied affine transformations to the image using the obtained matrices. Finally, the 3-sides of the object were cropped from the images and fed to a simple wrl file.
Developed an approach to teach a task to a robotic arm which could be replicated as and when required. Interfaced industrial robotic arm Scorbot-ER VII with NI-myRio development board with a user-friendly LabVIEW interface. Got shortlisted in the top 20 teams for a National Level Contest, NIYANTRA, organized by National Instruments, India.


This module is contained in the mod_mmap_static.c
file, with
Apache 1.3 and later. It provides mmap()ing of a statically configured list
of frequently requested but not changed files. It is not compiled into the
server by default. To use mod_mmap_static
you have to enable
the following line in the server build Configuration
file:
AddModule modules/experimental/mod_mmap_static.o
This is an experimental module and should be used with
care. You can easily create a broken site using this module, read this
document carefully.
mod_mmap_static
maps a list of statically configured files (via
MMapFile
directives in the main server configuration) into
memory through the system call mmap()
. This system
call is available on most modern Unix derivates, but not on all. There
are sometimes system-specific limits on the size and number of files that
can be mmap()d, experimentation is probably the easiest way to find out.
This mmap()ing is done once at server start or restart, only. So whenever
one of the mapped files changes on the filesystem you have to
restart the server by at least sending it a HUP or USR1 signal (see the
Stopping and Restarting documentation). To
reiterate that point: if the files are modified in place without
restarting the server you may end up serving requests that are completely
bogus. You should update files by unlinking the old copy and putting a new
copy in place. Most tools such as rdist
and mv
do
this. The reason why this modules doesn't take care of changes to the files
is that this check would need an extra stat()
every time which
is a waste and against the intent of I/O reduction.
Syntax: MMapFile filename ...
Default: None
Context: server-config
Override: Not applicable
Status: Experimental
Module: mod_mmap_static
Compatibility: Only available in Apache 1.3 or later
The MMapFile
directive maps one or more files (given as
whitespace separated arguments) into memory at server startup time. They
are automatically unmapped on a server shutdown. When the files have changed
on the filesystem at least a HUP or USR1 signal should be send to the server
to re-mmap them.
Be careful with the filename arguments: They have to literally
match the filesystem path Apache's URL-to-filename translation handlers
create. We cannot compare inodes or other stuff to match paths through
symbolic links etc. because that again would cost extra stat()
system calls which is not acceptable. This module may or may not work
with filenames rewritten by mod_alias
or
mod_rewrite
... it is an experiment after all.
Notice: You cannot use this for speeding up CGI programs or other files which are served by special content handlers. It can only be used for regular files which are usually served by the Apache core content handler.
Example:MMapFile /usr/local/apache/htdocs/index.html
Note: don't bother asking for a for a MMapDir
directive which
recursively maps all the files in a directory. Use Unix the way it was
meant to be used. For example, see the
Include directive, and consider this command:
find /www/htdocs -type f -print \ | sed -e 's/.*/mmapfile &/' > /www/conf/mmap.conf


I am just a young handsome man from marsabit kenya.
i would like to show you a glimpse of my lifethe things i believe are a bit mediocore and rigid for some of us so bear with me
About me
I am a God fearing young man born 21 years a ago
I am a flat earther who was born in Nairobi and raised in marsabit
I believe data mining is real
I believe in democracy
My favorite quote is by the author by author cs lewis "the devils greatest victory is that he convinced the world that he is a lie "
I went to kilimani junior academy for my primary school
I was in moi high school kabarak for my high school studies
For my unviersty education i am in the university of Nairobi
Here is a few things i love to do on my free time
I more of a nerd but here are some things i can do
in this day and age where humans have created airtifcial intelligence we have no opition but know how this works
so here i am learning the language that can be used to communicate with the AI


OMICS sciences center
Home
Genome Browser
EdgeExpressDB
OSC EdgeExpressDB
about
center view
expression view
contents
Search:
display width:
expression sort order
expID
expression value
series


Time
Room 1
Room 2
Room 3
11:00 am
IIOT: What's in it for FE?
Using DS to sell Ice to Eskimos
Putting the B in BU
12:00 pm
Quality time with AltBOB
Nap Time with Nathan


Lemonade
The health benefits of lemon are due to its many nourishing elements like vitamin C, vitamin B6, vitamin A, vitamin E, folate, niacin, thiamin, riboflavin, pantothenic acid, copper, calcium, iron, magnesium, potassium, zinc, phosphorus, and protein. It is a fruit that contains flavonoids, which are composites that contain antioxidant and cancer-fighting properties. People use it to make lemonade by mixing lemon juice and water. Many people also use it as a washing agent, because of its ability to remove stains. The scent of lemons can also repel mosquitoes.


Storage structure for font metadata. More...
#include <gfx.h>
Data Fields | |
| enum font_data_type | type |
| Type of storage used for binary font data. See font_data_type. | |
| uint8_t | width |
| Width of one font character, in pixles. | |
| uint8_t | height |
| Height of one font character, in pixles. | |
| uint8_t | scale |
| Number of times characters are scaled up when being drawn. | |
| uint8_t | first_char |
| ASCII value of first character in font set. | |
| uint8_t | last_char |
| ASCII value of last character in ont set. | |
| hugemem_ptr_t | hugemem |
Storage structure for font metadata.
Definition at line 214 of file gfx.h.
ASCII value of first character in font set.
Definition at line 232 of file gfx.h.
Referenced by gfx_draw_char(), gfx_draw_char_hugemem(), and gfx_draw_char_progmem().
Height of one font character, in pixles.
Definition at line 228 of file gfx.h.
Referenced by gfx_draw_char(), gfx_draw_char_hugemem(), gfx_draw_char_progmem(), gfx_draw_progmem_string(), gfx_draw_string(), gfx_font_get_height(), gfx_get_progmem_string_bounding_box(), gfx_get_string_bounding_box(), wtk_check_box_size_hint(), and wtk_radio_button_size_hint().
Pointer to where the binary font data is stored. This variable is accessed either through hugemem or progmem depending on the value of type.
Definition at line 222 of file gfx.h.
Referenced by gfx_draw_char_hugemem().
ASCII value of last character in ont set.
Definition at line 234 of file gfx.h.
Referenced by gfx_draw_char().
Number of times characters are scaled up when being drawn.
Definition at line 230 of file gfx.h.
Referenced by gfx_draw_char(), gfx_draw_char_hugemem(), gfx_draw_char_progmem(), gfx_draw_progmem_string(), gfx_draw_string(), gfx_font_get_height(), gfx_font_get_width(), gfx_get_progmem_string_bounding_box(), gfx_get_string_bounding_box(), wtk_check_box_size_hint(), and wtk_radio_button_size_hint().
| enum font_data_type font::type |
Type of storage used for binary font data. See font_data_type.
Definition at line 216 of file gfx.h.
Referenced by gfx_draw_char().
Width of one font character, in pixles.
Definition at line 226 of file gfx.h.
Referenced by gfx_draw_char(), gfx_draw_char_hugemem(), gfx_draw_char_progmem(), gfx_draw_progmem_string(), gfx_draw_string(), gfx_font_get_width(), gfx_get_progmem_string_bounding_box(), and gfx_get_string_bounding_box().


Reference
Brewer J., (1999). 'How People with Disabilities Use the Web', [online] Available at: https://www.w3.org/WAI/EO/Drafts/profiles-19990930.html [Accessed 26 October 2020].
Brophy, P., & Craven, J. (2007). Web Accessibility. Library Trends, 55(4), 950-972. https://doi.org/10.1353/lib.2007.0029 (Accessed at: November 16, 2020)
Carter, J. and Markel, M. (2001) 'Web accessibility for people with disabilities: an introduction for Web developers', IEEE Transactions on Professional Communication, Professional Communication, IEEE Transactions on, IEEE Trans. Profess. Commun, 44(4), pp. 225–233. doi: 10.1109/47.968105.
Debevc, M. et al. (2009) 'Accessible Multimodal Web Pages with Sign Language Translations for Deaf and Hard of Hearing Users', 2009 20th International Workshop on Database and Expert Systems Application, Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on, pp. 279–283. doi: 10.1109/DEXA.2009.92.
Jensen, S. S. and Øvad, T. (2016) 'Optimizing web-accessibility for deaf people and the hearing impaired utilizing a sign language dictionary embedded in a browser', Cognition, Technology and Work, 18(4), pp. 717–731. doi: 10.1007/s10111-016-0385-z.
Kalbag, P. (2017) ACCESSIBILITY FOR EVERYONE. New York: Jeffrey Zeldman.
Lazar, J., Dudley-Sponaugle, A., & Greenidge, K. (2004). Improving web accessibility: a study of webmaster perceptions. Computers In Human Behavior, 20(2), 269-288. https://doi.org/10.1016/j.chb.2003.10.018 (Accessed at: November 16, 2020)
Pan, J. (2017) 508, ADA, WCAG: What’s the difference? Available at: https://www.logicsolutions.com/508-ada-wcag-accessibility-difference/ (accessed: 2020.11.14)
Rello, L., Baeza-Yates, R. (2013) ‘Good Fonts for Dyslexia’, ASSETS '13: Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, Article No. 14, 1-8.
Theofanos, M., & Redish, J. (2003). Bridging the gap. Interactions, 10(6), 36-51. https://doi.org/10.1145/947226.947227 (Accessed at: November 16, 2020)
Web Accessibility Toolkit (2013) Standards & Best Practices. Available at: https://accessibility.arl.org/standards-best-practices/ (accessed: 2020.11.10)
WebAIM, (2020), Constructing a POUR Website: Putting People at the Center of the Process, Available at: https://webaim.org/articles/pour/ (Accessed at: November 16, 2020)
Web Content Accessibility Guidelines (WCAG) 2.1. W3.org. (2020). Retrieved 16 November 2020, from https://www.w3.org/TR/WCAG21/ (Accessed 26 October 2020).
Zhang, M. (2018) Research on Sampling Methods for Web Accessibility Evaluation. Zhejiang: Zhejiang University. Available at: https://kreader.cnki.net/Kreader/CatalogViewPage.aspx?dbCode=cdmd&filename=1018254756.nh&tablename=CDFDLAST2018&compose=&first=1&uid= (accessed: 2020.11.10)


Reconciling your balance sheet is boring, time consuming and prone to human error. But it's also essential for your business's financial health.
Make our Learning AI do it for you
Find Out MoreOur unique Machine Learning technology takes the guesswork out of reconciliation. Reduce time spent on boring Balance Sheets and set yourself free to do what you do best.
Get Started!Our Machine Learning AI gets to know your business by scanning ledger entries and using Natural Language Processing technology to group transactions together.
It then eliminates all transactions that clear down and returns only those transactions that contribute to your balance.
Rec Bot is like your own army of Accounts Clerks; we do the boring bits of your accounts, so you don't have to!
Rec Bot uses Natural Language Processing and a Machine Learning AI to read not just your Chart of Accounts and Cost Centres, but your handwritten transaction descriptions.
Upload all transactions from the account you want to reconcile to Rec.Bot as a .csv file.
Rec.Bot's Natural Language Processing AI scans your transactions and eliminates transactions that net to zero.
Rec.Bot returns a list of all reconciled transactions, and a separate list of all cleared transactions.
Relax as RecBot runs your balance sheet for you!
Ready to start automating your balance sheet with us? That's great! Fill in some details below and we will get back to you as soon as possible!


{% extends "base.html" %} {% block heading %}{{ block.super }} - Shelves{% endblock %} {% block content %} {% if not object_list %}
Shelves are collections of books that you curate in any way that makes sense to you. We've provided some default shelves to get you started.
{% endif %}


Akan Naming system
Akan is a naming system structured as per the child naming cultures of Ghana, where new borns are named in context to the day of the week from certain names
Day of birth
Month of birth
year of birth
Whats your gender?
Male
Female
Submitt


Bootstrapped/Startup Marketing Part 4
We’ve talked some about SEO, media/blog posts, adwords, no one of these is a magic bullet. Some work better for different reasons. As I mentioned in the first post, if you haven’t checked out the post on tactically measuring metrics then please do. If you have followed those steps and explore each of these options, then you should have an idea of which one works well for you and which doesn’t. The final piece of marketing may be a bit harder to measure, but is going to do great things towards growing your brand to users and visitors.
Retargetting Retargetting is the idea of showing an ad to a user that has already visited your site. It’s pretty basic, someone comes to your site and you have a pixel that loads telling your ad network they’ve visited. From then on they may see your ad when randomly browsing the web. With my most recent venture into the online registry space I was browsing Chiacgo Tribune and Slashdot and came across our ads. There’s absolutely no contextual relevance there, but I checked and it was due to our retargetting. This will make it appear as if you are everywhere to your users. If you do want to heavily monitor what retargetting is doing for you, the best place to do it is around your retention metric.
How do you do retargetting? Sounds like a complicated process slightly… Well it’s simple you don’t, let one of the major ad networks do it for you. The first step for it, is to use image ads. Text based ads may work great for google and facebook, but on most of the websites your retargetting will run on you want to have images that the blogs typically serve. The 3 key form factors you’ll want are:
- 300x250
- 728x90
- 160x600
As for who to use for a service? Google recently launched their service in the past year and called it ReMarketing. I’ve had mixed results with google with regards to their approval process on images. Many times I’ve had images sit in a queue for a full month, then finally reached out to their support and have it take another 3 days. For this reason alone, it almost makes it worthwhile to go with the better customer service. I’ve used AdRoll for basic ad campaigns as well as ReTargetting. I must say I absolutely love them for ReTargetting. For standard ad campaigns they do a good amount to optimize performance, but you are also paying a premium for it. Those are the two I’m most aware of, but if others know of great retargetting services I’d love to hear about them and give them a try.
 But even if you do only have 100 visitors a month, with retargetting they’ll get some confidence that you’re a real online brand with a presence.


For instructions on how to use this application with OpenShift, start by reading the Developer Guide.
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With the OpenShift command line interface (CLI), you can create applications and manage projects from a terminal.
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| Type: | <%= dbInfo.type %> |
| URL: | <%= dbInfo.url %> |


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Grand Master Angus:
You have returned with all of this belongings!
Shilen be praised!
Thanks to your help, we will be able to send the soul of the dead Dark Elven trainee to rest with Shilen.
We are in your debt.
I will write you a letter of recommendation so that others of my faith will not treat you like one of those arrogant priests of the Temple of Einhasad.


"username": "username", "password": "password"
"id": 1 "username": "username"
"username": "username" "password": "password"
"id": 1, "username": "username"
"message": "Logged out successfully."
"photos": "[ ]"


I am positively optimistic with a passion for food, video games, and solving problems. Which is part of the reason I decided to pursue a career as a developer. The other part being a few years ago I worked on a passion project centered around motorcycle safety and security. I had no previous experience with coding but I was ready to learn. While working on the project I met with possible stakeholders, took courses via codecademy and freecodecamp, researched and used opensource hardware. Everyday was a new challenge, every week was a new feature set, and every moment was a struggle. But with that struggle came so much reward and excitement. It was like beating a hard level or boss in that game and being filled with triumph. However, I wasn't prepared to pursue a career as a devoloper just yet. To me it always seemed like something that was out of my reach. Something that I did not think I was capable of until my friend told me, "It's not about being smart. It's about working hard and pushing yourself."  I decided to attend LearningFuze's 12 week Full Imerssion Program to jumpstart my growth. During the 12 weeks we learned JavaScript, PHP, react.js, html, css, and more. To see what I created please see my portfolio. I truly am excited to be in this field and I look forward to being a positive asset to your team.
You can see my skills.
Feel free to email me for any inquiries, resume, or if you need some positivity!


Enter an unsigned Product Advertising API URL in the box below and click the Display Signed URL button. The String-To-Sign and Signed URL will be displayed below. If the unsigned URL does not contain a Timestamp, one will be generated and added to the request. Any AWSAccessKeyId or SubscriptionId in the request will be removed and the value provided above will be added to the request. If the URL already contains a Signature, it will be removed and re-computed.
Line breaks in the URL are ignored.
Here is an sample unsigned URL you can use to get started with:
http://ecs.amazonaws.com/onca/xml?Service=AWSECommerceService
&Version=2009-03-31
&Operation=ItemSearch
&SearchIndex=Books
&Keywords=harry+potter
| Unsigned URL: |
|
| Name-Value Pairs: |
The query string has been split into it's constituent name-value pairs (one per line) and a timestamp has been added to the end.
|
| Sorted Pairs: |
The name-value pairs have been sorted according to byte-order and URL-encoded according to RFC 3986 as required by
the Product Advertising API.
|
| String-To-Sign: |
|
| Signed URL: |
|


+++ title = "Rome" lat = 41.900232 lon = 12.482528 +++
If London's the home of the 'ol bird, then I guess Rome would be the home of the 'ol geyser. Home of waaay too many things to list, really — although I will give it a shot: the Colisseum, St. Peter's, and the aqueduct, if I must name a few. Just in Rome for a few days, before I head south for some even better pizza.


Youth held for killing brother-in-law
by Staff ReporterA 19-year-old youth has been arrested for allegedly killing his brother-in-law in Dwarka’s Najafgarh on Sunday night, the police said on Thursday. The victim had objected to the accused’s relationship with a married woman and had slapped the latter on the day of the incident, they said.
DCP (Dwarka) Anto Alphonse said that the accused has been identified as Naushad who allegedly stabbed his sister’s husband Riyaz (27). The accused was arrested from Jai Vihar on Monday based on a tip-off, the police said.
They said that around 10 p.m. on Sunday, they received a call at Najafgarh police station regarding a fight at a house in Prem Vihar. When a police team reached the spot, they were informed that a person, who had sustained injuries in the incident, was taken to a hospital.
An injured Riyaz told the police that he was attacked by Naushad. He later succumbed to his injuries.