How can you vote for the Bushtucker Trials using the I’m a Celebrity app?
Part of the joy of I’m a Celebrity each year is watching stars embarrass, challenge and push themselves to do the unthinkable, all from the comfort of your sofa.
A football hero screaming for his mum? Check. A reality icon chowing on a cow’s eye? Done.
Viewers have the power to choose which stars face the Bushtucker Trials – a power Dan Osborne is asking fans to wield with more kindness for his wife Jacqueline Jossa.
How do you vote for the Bushtucker Trials?
How to vote for the Bushtucker trials
You can use the official I’m a Celebrity voting app to choose which celeb you want to see tackle the Bushtucker Trial.
The app can be downloaded from the iTunes store or Google Play.
You’ll need iOS 9 or later, and Android 4.1 or later.
Advertisement Advertisement
You won’t be charged for downloading or voting through it but data charges may still apply.
To vote, download the app and navigate the user face to get to the voting section.
You must register before you can start casting votes and you’ll need a valid iTunes account to register.
Fans will have to wait until Ant and Dec announce the vote is open during the live show – once it’s open, fans will only have a few minutes to open the app and cast up to five votes.
If you can’t download the app – or don’t want to – you can still vote in the Bushtucker Trials.
When the show is on, call or text the numbers advertised on the screen or which Ant and Dec will read out regularly.
Make sure you’re not watching a repeat or a +1 episode as your vote won’t count but you could still be charged.
When eliminations start happening, the same voting process will apply.
I’m a Celebrity… Get me out of Here! continues tonight at 9pm on ITV.


Issues
Demonstration
中文版
Super Marker
By
Barret Lee
OPEN
MOVE
RULER
HORIZEN
NET
VERTIC
COLOR
INFO
SELET
DELETE
CLEAR
Open File


Architect | Traveller
I've started my professional career in 2019 on a position of "Junior Architect" and was involved in various Architectural Design, Plans, Rendering 3D Visualizations, Working Drawing and Detail Drawing.
At present I have advance knowledge of Autodesk Autocad 2d, Adobe Photoshop CC , Google Sketchup and Lumion tools and basic knowledge of Autodesk Revit.


0) { $to =<EMAIL_ADDRESS>// your email $subject = "[Generated from test.com] " . $subject; $from = $name . " <" . $email . ">"; $headers = "From: " . $from; if (!mail($to, $subject, $body, $headers)) { array_push($errors, "Mail failed to send."); } } } ?>
Please fill out this quick form to send us an email. We are excited to hear from you!


{{orphan|date=October 2009}}
Surnoli is a kind of Pancake popular among the Konkani community. They have a puffy texture with holes, with a yellow color and are usually made about 10 inches in diameter. Surnolis are traditionally eaten for breakfast or afternoon tea, served with homemade butter.
Surnoli batter is made by grinding together soaked rice mixed with poha, coconut, buttermilk, jaggery and turmeric into a smooth paste. The batter is cooked covered on a girdle on one side.


🏠 Home
Breakfast
Lunch
Dinner
Snacks
Stir-Fry
Beverages
Chocolate-Covered Strawberry Protein Shakes
Chocolate-covered strawberries blended into a shake mixed in with whatever other healthy extras you desire.
Soda/Juice Fountains
Pierce has a diverse range of beverage choices, ranging from more conservative options such as your usual Pepsi products or sparkling water and juices if you prefer a healthier alternative.


OCaml-TLS: Adventures in X.509 certificate parsing and validation
This is the third in a series of posts that introduce new libraries for a pure OCaml implementation of TLS. You might like to begin with the introduction.
The problem of authentication
The authenticity of the remote server needs to be verified while establishing a secure connection to it, or else an attacker ([MITM]1) between the client and the server can eavesdrop on the transmitted data. To the best of our knowledge, authentication cannot be done solely in-band, but needs external infrastructure. The most common methods used in practice rely on public key encryption.
Web of trust (used by [OpenPGP]2) is a decentralised public key infrastructure. It relies on out-of-band verification of public keys and transitivity of trust. If Bob signed Alice’s public key, and Charlie trusts Bob (and signed his public key), then Charlie can trust that Alice’s public key is hers.
Public key infrastructure (used by [TLS]3) relies on trust anchors which are communicated out-of-band (e.g. distributed with the client software). In order to authenticate a server, a chain of trust between a trust anchor and the server certificate (public key) is established. Only those clients which have the trust anchor deployed can verify the authenticity of the server.
X.509 public key infrastructure
[X.509]4 is an ITU standard for a public key infrastructure, developed in 1988. Amongst other things, it specifies the format of certificates, their attributes, revocation lists, and a path validation algorithm. X.509 certificates are encoded using abstract syntax notation one (ASN.1).
A certificate contains a public key, a subject (server name), a validity period, a purpose (i.e. key usage), an issuer, and possibly other extensions. All components mentioned in the certificate are signed by an issuer.
A certificate authority (CA) receives a certificate signing request from a server operator. It verifies that this signing request is legitimate (e.g. requested server name is owned by the server operator) and signs the request. The CA certificate must be trusted by all potential clients. A CA can also issue intermediate CA certificates, which are allowed to sign certificates.
When a server certificate or intermediate CA certificate is compromised, the CA publishes this certificate in its certificate revocation list (CRL), which each client should poll periodically.
The following certificates are exchanged before a TLS session: - CA -> Client: CA certificate, installed as trust anchor on the client - Server -> CA: certificate request, to be signed by the CA - CA -> Server: signed server certificate
During the TLS handshake the server sends the certificate chain to the client. When a client wants to verify a certificate, it has to verify the signatures of the entire chain, and find a trust anchor which signed the outermost certificate. Further constraints, such as the maximum chain length and the validity period, are checked as well. Finally, the server name in the server certificate is checked to match the expected identity. For an example, you can see the sequence diagram of the TLS handshake your browser makes when you visit our demonstration server.
Example code for verification
OpenSSL implements RFC5280 path validation, but there is no
implementation to validate the identity of a certificate. This has to
be implemented by each client, which is rather complex (e.g. in
libfetch it spans over more than 300 lines). A client of the
ocaml-x509
library (such as our http-client) has to
write only two lines of code:
lwt authenticator = X509_lwt.authenticator (`Ca_dir ca_cert_dir) in
lwt (ic, oc) =
Tls_lwt.connect_ext
(Tls.Config.client_exn ~authenticator ())
(host, port)
The authenticator uses the default directory where trust anchors are stored (‘ca_cert_dir’), and this authenticator is passed to the ‘connect_ext’ function. This initiates the TLS handshake, and passes the trust anchors and the hostname to the TLS library.
During the client handshake when the certificate chain is received by the server, the given authenticator and hostname are used to authenticate the certificate chain (in ‘validate_chain’):
match
X509.Authenticator.authenticate ?host:server_name authenticator stack
with
| `Fail SelfSigned -> fail Packet.UNKNOWN_CA
| `Fail NoTrustAnchor -> fail Packet.UNKNOWN_CA
| `Fail CertificateExpired -> fail Packet.CERTIFICATE_EXPIRED
| `Fail _ -> fail Packet.BAD_CERTIFICATE
| `Ok -> return server_cert
Internally, ocaml-x509
extracts the hostname list from a
certificate in ‘cert_hostnames’, and the
wildcard or strict matcher compares it to the input.
In total, this is less than 50 lines of pure OCaml code.
Problems in X.509 verification
Several weaknesses in the verification of X.509 certificates have been discovered, ranging from cryptographic attacks due to collisions in hash algorithms (practical) over misinterpretation of the name in the certificate (a C string is terminated by a null byte), and treating X.509 version 1 certificates always as a trust anchor in GnuTLS.
An empirical study of software that does certificate verification showed that badly designed APIs are the root cause of vulnerabilities in this area. They tested various implementations by using a list of certificates, which did not form a chain, and would not authenticate due to being self-signed, or carrying a different server name.
Another recent empirical study (Frankencert) generated random certificates and validated these with various stacks. They found lots of small issues in nearly all certificate verification stacks.
Our implementation mitigates against some of the known attacks: we require a complete valid chain, check the extensions of a certificate, and implement hostname checking as specified in RFC6125. We have a test suite with over 3200 tests and multiple CAs. We do not yet discard certificates which use MD5 as hash algorithm. Our TLS stack requires certificates to have at least 1024 bit RSA keys.
X.509 library internals
The x509
library uses asn-combinators to parse X.509 certificates and
the nocrypto library for signature verification
(which we wrote about previously).
At the moment we do not yet
expose certificate builders from the library, but focus on certificate parsing
and certificate authentication.
The x509 module provides modules which parse PEM-encoded (pem) certificates (Cert) and private keys (Pk), and an authenticator module (Authenticators).
So far we have two authenticators implemented: - ‘chain_of_trust’, which implements the basic path validation algorithm from RFC5280 (section 6) and the hostname validation from RFC6125. To construct such an authenticator, a timestamp and a list of trust anchors is needed. - ‘null’, which always returns success.
The method ‘authenticate’, to be called when a
certificate stack should be verified, receives an authenticator, a
hostname and the certificate stack. It returns either Ok
or Fail
.
Our certificate type is very similar to the described structure in the RFC:
type tBSCertificate = {
version : [ `V1 | `V2 | `V3 ] ;
serial : Z.t ;
signature : Algorithm.t ;
issuer : Name.dn ;
validity : Time.t * Time.t ;
subject : Name.dn ;
pk_info : PK.t ;
issuer_id : Cstruct.t option ;
subject_id : Cstruct.t option ;
extensions : (bool * Extension.t) list
}
type certificate = {
tbs_cert : tBSCertificate ;
signature_algo : Algorithm.t ;
signature_val : Cstruct.t
}
The certificate itself wraps the to be signed part (‘tBSCertificate’), the used signature algorithm, and the actual signature. It consists of a version, serial number, issuer, validity, subject, public key information, optional issuer and subject identifiers, and a list of extensions – only version 3 certificates may have extensions.
The ‘certificate’ module implements the actual authentication of certificates, and provides some useful getters such as ‘cert_type’, ‘cert_usage’, and ‘cert_extended_usage’. The main entry for authentication is ‘verify_chain_of_trust’, which checks correct signatures of the chain, extensions and validity of each certificate, and the hostname of the server certificate.
The grammar of X.509 certificates is developed in the ‘asn_grammars’ module, and the object identifiers are gathered in the ‘registry’ module.
Implementation of certificate verification
We provide the function ‘valid_cas’, which takes a timestamp and a list of certificate authorities. Each certificate authority is checked to be valid, self-signed, correctly signed, and having proper X.509 v3 extensions. As mentioned above, version 1 and version 2 certificates do not contain extensions. For a version 3 certificate, ‘validate_ca_extensions’ is called: The basic constraints extensions must be present, and its value must be true. Also, key usage must be present and the certificate must be allowed to sign certificates. Finally, we reject the certificate if there is any extension marked critical, apart from the two mentioned above.
When we have a list of validated CA certificates, we can use these to verify the chain of trust, which gets a hostname, a timestamp, a list of trust anchors and a certificate chain as input. It first checks that the server certificate is valid, the validity of the intermediate certificates, and that the chain is complete (the pathlen constraint is not validated) and rooted in a trust anchor. A server certificate is valid if the validity period matches the current timestamp, the given hostname matches its subject alternative name extension or common name (might be wildcard or strict matching, RFC6125), and it does not have a basic constraints extension which value is true.
Current status of ocaml-x509
We currently support only RSA certificates. We do not check revocation lists or use the online certificate status protocol (OCSP). Our implementation does not handle name constraints and policies. However, if any of these extensions is marked critical, we refuse to validate the chain. To keep our main authentication free of side-effects, it currently uses the timestamp when the authenticator was created rather than when it is used (this isn’t a problem if lifetime of the OCaml-TLS process is comparatively short, as in the worst case the lifetime of the certificates can be extended by the lifetime of the process).
We invite people to read through the certificate verification and the ASN.1 parsing. We welcome discussion on the mirage-devel mailing list and bug reports on the GitHub issue tracker.
Posts in this TLS series:
- Irmin 0.12 with portable filesystem watching released
- MirageOS Summer 2016 Hackathon roundup
- MirageOS Summer 2016 Hackathon announcement, and talk roundup
- MirageOS Spring 2016 Hackathon!
- MirageOS security advisory 00: mirage-net-xen
- Introducing Functoria
- Run Mirage Unikernels on KVM/QEMU with Solo5
- MirageOS hackathon
- Introducing Charrua — a DHCP implementation
- Unikernel.org


"PUTEOLI "a city on the coast of Campania, on the north shore of a bay running north from the Bay of Naples, at which Paul landed on his way to Rome, from which it was distant 170 miles. Here he tarried for seven days(Acts 28:13, 14). This was the great emporium for the Alexandrian corn ships. Here Paul and his companions began their journey, by the “Appian Way,” to Rome. It is now called Pozzuoli. The remains of a huge amphitheatre, and of the quay at which Paul landed, may still be seen here.
"PUTEOLI "a city on the coast of Campania, on the north shore of a bay running north from the Bay of Naples, at which Paul landed on his way to Rome, from which it was distant 170 miles. Here he tarried for seven days(Acts 28:13, 14). This was the great emporium for the Alexandrian corn ships. Here Paul and his companions began their journey, by the “Appian Way,” to Rome. It is now called Pozzuoli. The remains of a huge amphitheatre, and of the quay at which Paul landed, may still be seen here.


noise::module::Voronoi Class Reference
[Generator Modules]
#include <voronoi.h>
Inheritance diagram for noise::module::Voronoi:
List of all members.
Detailed Description
Noise module that outputs Voronoi cells.
In mathematics, a Voronoi cell is a region containing all the points that are closer to a specific seed point than to any other seed point. These cells mesh with one another, producing polygon-like formations.
By default, this noise module randomly places a seed point within each unit cube. By modifying the frequency of the seed points, an application can change the distance between seed points. The higher the frequency, the closer together this noise module places the seed points, which reduces the size of the cells. To specify the frequency of the cells, call the SetFrequency() method.
This noise module assigns each Voronoi cell with a random constant value from a coherent-noise function. The displacement value controls the range of random values to assign to each cell. The range of random values is +/- the displacement value. Call the SetDisplacement() method to specify the displacement value.
To modify the random positions of the seed points, call the SetSeed() method.
This noise module can optionally add the distance from the nearest seed to the output value. To enable this feature, call the EnableDistance() method. This causes the points in the Voronoi cells to increase in value the further away that point is from the nearest seed point.
Voronoi cells are often used to generate cracked-mud terrain formations or crystal-like textures
This noise module requires no source modules.
|
Public Member Functions |
| | Voronoi () |
| | Constructor.
|
| void | EnableDistance (bool enable=true) |
| | Enables or disables applying the distance from the nearest seed point to the output value.
|
| double | GetDisplacement () const |
| | Returns the displacement value of the Voronoi cells.
|
| double | GetFrequency () const |
| | Returns the frequency of the seed points.
|
| virtual int | GetSourceModuleCount () const |
| | Returns the number of source modules required by this noise module.
|
| int | GetSeed () const |
| | Returns the seed value used by the Voronoi cells.
|
| bool | IsDistanceEnabled () const |
| | Determines if the distance from the nearest seed point is applied to the output value.
|
| virtual double | GetValue (double x, double y, double z) const |
| | Generates an output value given the coordinates of the specified input value.
|
| void | SetDisplacement (double displacement) |
| | Sets the displacement value of the Voronoi cells.
|
| void | SetFrequency (double frequency) |
| | Sets the frequency of the seed points.
|
| void | SetSeed (int seed) |
| | Sets the seed value used by the Voronoi cells.
|
Protected Attributes |
|
double | m_displacement |
| | Scale of the random displacement to apply to each Voronoi cell.
|
|
bool | m_enableDistance |
| | Determines if the distance from the nearest seed point is applied to the output value.
|
|
double | m_frequency |
| | Frequency of the seed points.
|
|
int | m_seed |
| | Seed value used by the coherent-noise function to determine the positions of the seed points.
|
Constructor & Destructor Documentation
Member Function Documentation
| void noise::module::Voronoi::EnableDistance |
( |
bool |
enable = true |
) |
[inline] |
|
|
|
Enables or disables applying the distance from the nearest seed point to the output value.
- Parameters:
-
| enable | Specifies whether to apply the distance to the output value or not. |
Applying the distance from the nearest seed point to the output value causes the points in the Voronoi cells to increase in value the further away that point is from the nearest seed point. Setting this value to true (and setting the displacement to a near-zero value) causes this noise module to generate cracked mud formations. |
| double noise::module::Voronoi::GetDisplacement |
( |
|
) |
const [inline] |
|
|
|
Returns the displacement value of the Voronoi cells.
- Returns:
- The displacement value of the Voronoi cells.
This noise module assigns each Voronoi cell with a random constant value from a coherent-noise function. The displacement value controls the range of random values to assign to each cell. The range of random values is +/- the displacement value. |
| double noise::module::Voronoi::GetFrequency |
( |
|
) |
const [inline] |
|
|
|
Returns the frequency of the seed points.
- Returns:
- The frequency of the seed points.
The frequency determines the size of the Voronoi cells and the distance between these cells. |
| int noise::module::Voronoi::GetSeed |
( |
|
) |
const [inline] |
|
|
|
Returns the seed value used by the Voronoi cells.
- Returns:
- The seed value.
The positions of the seed values are calculated by a coherent-noise function. By modifying the seed value, the output of that function changes. |
| virtual int noise::module::Voronoi::GetSourceModuleCount |
( |
|
) |
const [inline, virtual] |
|
|
|
Returns the number of source modules required by this noise module.
- Returns:
- The number of source modules required by this noise module.
Implements noise::module::Module. |
| double Voronoi::GetValue |
( |
double |
x, |
|
|
double |
y, |
|
|
double |
z |
|
) |
const [virtual] |
|
|
|
Generates an output value given the coordinates of the specified input value.
- Parameters:
-
| x | The x coordinate of the input value. |
| y | The y coordinate of the input value. |
| z | The z coordinate of the input value. |
- Returns:
- The output value.
- Precondition:
- All source modules required by this noise module have been passed to the SetSourceModule() method.
Before an application can call this method, it must first connect all required source modules via the SetSourceModule() method. If these source modules are not connected to this noise module, this method raises a debug assertion.
To determine the number of source modules required by this noise module, call the GetSourceModuleCount() method.
Implements noise::module::Module. |
| bool noise::module::Voronoi::IsDistanceEnabled |
( |
|
) |
const [inline] |
|
|
|
Determines if the distance from the nearest seed point is applied to the output value.
- Returns:
- true if the distance is applied to the output value.
- false if not.
Applying the distance from the nearest seed point to the output value causes the points in the Voronoi cells to increase in value the further away that point is from the nearest seed point. |
| void noise::module::Voronoi::SetDisplacement |
( |
double |
displacement |
) |
[inline] |
|
|
|
Sets the displacement value of the Voronoi cells.
- Parameters:
-
| displacement | The displacement value of the Voronoi cells. |
This noise module assigns each Voronoi cell with a random constant value from a coherent-noise function. The displacement value controls the range of random values to assign to each cell. The range of random values is +/- the displacement value. |
| void noise::module::Voronoi::SetFrequency |
( |
double |
frequency |
) |
[inline] |
|
|
|
Sets the frequency of the seed points.
- Parameters:
-
| frequency | The frequency of the seed points. |
The frequency determines the size of the Voronoi cells and the distance between these cells. |
| void noise::module::Voronoi::SetSeed |
( |
int |
seed |
) |
[inline] |
|
|
|
Sets the seed value used by the Voronoi cells.
- Parameters:
-
The positions of the seed values are calculated by a coherent-noise function. By modifying the seed value, the output of that function changes. |
The documentation for this class was generated from the following files:
|


Here is some content
{{title}}
Index 0: check Index 1: check Index 2: check Index 3: check Index 4: check
Author
No Author


Materialize Color Picker
A color picker plugin for Materialize framework
Example
What is it?
The colorpicker allows users to pick a color from a color palette.
Materialize Color Picker is a plugin for Materialize framework (v1.0.0). It allows you to assign it with an input and pick a color as a hexadecimal code to input.
Download
Usage
Initialization
<input type="text" class="timepicker">
$(document).ready(function(){
$('.timepicker').timepicker();
});


| Source of Technology | Tier I (Low altitude, long endurance) | Tier II (High altitude, long endurance) | Tier II+ (Medium altitude, long endurance) |
|---|
| Source of Technology | Tier I (Low altitude, long endurance) | Tier II (High altitude, long endurance) | Tier II+ (Medium altitude, long endurance) |
|---|
| Source of Technology | Tier I (Low altitude, long endurance) | Tier II (High altitude, long endurance) | Tier II+ (Medium altitude, long endurance) |
|---|


Boltzmann entropy (also called configurational entropy) has been recently adopted to analyze entropy of landscape gradients (Gao et al. (2017, 2018, 2019)). The goal of belg is to provide an efficient C++ implementation of this method in R. It also extend the original idea by allowing calculations on data with missing values.
You can install the released version of belg from CRAN with:
install.packages("belg")
And the development version from GitHub with:
# install.packages("remotes") remotes::install_github("r-spatialecology/belg")
As an example, we use two rasters - land_gradient1
representing a complex landscape and land_gradient2
representing a simple landscape:
The main function in this package, get_boltzmann()
, calculates the Boltzmann entropy of a landscape gradient:
get_boltzmann(land_gradient1) #> [1] 188772.5 get_boltzmann(land_gradient2) #> [1] 121875.2
This function accepts a RasterLayer
, RasterStack
, RasterBrick
, matrix
, or array
object as an input. It allows for calculation of the relative (the relative
argument equal to TRUE
) and absolute Boltzmann entropy of a landscape gradient. As a default, it uses a logarithm of base 10 (log10
), however log
and log2
are also available options for the base
argument.
get_boltzmann(land_gradient1, base = "log") #> [1] 434664.7 get_boltzmann(land_gradient1, relative = TRUE) #> [1] 137645.4 get_boltzmann(land_gradient1, base = "log2", relative = TRUE) #> [1] 457248.1
Two methods of calculating the Boltzmann entropy of a landscape gradient are available: "hierarchy"
(default) for the hierarchy-based method (Gao et al., 2017) or "aggregation"
for the aggregation-based method (Gao et al., 2019). The aggregation-based method requires that the number of rows and columns in the input data must be a multiple of 2.
get_boltzmann(land_gradient1, method = "aggregation") #> [1] 188772.5 get_boltzmann(land_gradient1, relative = TRUE, method = "aggregation") #> [1] 137645.4


sync
`Prev `__
S
`Next `__
--------------
**sync**: /sink/, vi.
(var.: synch)
1. To synchronize, to bring into synchronization.
2. [techspeak] To force all pending I/O to the disk; see
`*flush* <../F/flush.html>`__, sense 2.
3. More generally, to force a number of competing processes or agents to
a state that would be ‘safe’ if the system were to crash; thus, to
checkpoint (in the database-theory sense).
--------------
+----------------------------+----------------------------+-----------------------------------+
| `Prev `__ | `Up <../S.html>`__ | `Next `__ |
+----------------------------+----------------------------+-----------------------------------+
| swizzle | `Home <../index.html>`__ | syntactic salt |
+----------------------------+----------------------------+-----------------------------------+


Enumeration members
ACCEPTTRADE
ACCEPTTRADE: = "ACCEPTTRADE"
ACCEPT_ARENA_DEATH
ACCEPT_ARENA_DEATH: = "ACCEPT_ARENA_DEATH"
ACCOUNTLIST
ACCOUNTLIST: = "ACCOUNTLIST"
ACTIVEPETUPDATE
ACTIVEPETUPDATE: = "ACTIVEPETUPDATE"
ACTIVE_PET_UPDATE_REQUEST
ACTIVE_PET_UPDATE_REQUEST: = "ACTIVE_PET_UPDATE_REQUEST"
ALLYSHOOT
ALLYSHOOT: = "ALLYSHOOT"
AOEACK
AOEACK: = "AOEACK"
ARENA_DEATH
ARENA_DEATH: = "ARENA_DEATH"
BUYRESULT
BUYRESULT: = "BUYRESULT"
CANCELTRADE
CANCELTRADE: = "CANCELTRADE"
CHANGEGUILDRANK
CHANGEGUILDRANK: = "CHANGEGUILDRANK"
CHANGETRADE
CHANGETRADE: = "CHANGETRADE"
CHECKCREDITS
CHECKCREDITS: = "CHECKCREDITS"
CHOOSENAME
CHOOSENAME: = "CHOOSENAME"
CLAIM_LOGIN_REWARD_MSG
CLAIM_LOGIN_REWARD_MSG: = "CLAIM_LOGIN_REWARD_MSG"
CLIENTSTAT
CLIENTSTAT: = "CLIENTSTAT"
CREATE
CREATE: = "CREATE"
CREATEGUILD
CREATEGUILD: = "CREATEGUILD"
CREATE_SUCCESS
CREATE_SUCCESS: = "CREATE_SUCCESS"
DAMAGE
DAMAGE: = "DAMAGE"
DELETE_PET
DELETE_PET: = "DELETE_PET"
EDITACCOUNTLIST
EDITACCOUNTLIST: = "EDITACCOUNTLIST"
ENEMYHIT
ENEMYHIT: = "ENEMYHIT"
ENEMYSHOOT
ENEMYSHOOT: = "ENEMYSHOOT"
ENTER_ARENA
ENTER_ARENA: = "ENTER_ARENA"
ESCAPE
ESCAPE: = "ESCAPE"
EVOLVE_PET
EVOLVE_PET: = "EVOLVE_PET"
FAILURE
FAILURE: = "FAILURE"
GLOBAL_NOTIFICATION
GLOBAL_NOTIFICATION: = "GLOBAL_NOTIFICATION"
GOTOACK
GOTOACK: = "GOTOACK"
GROUNDDAMAGE
GROUNDDAMAGE: = "GROUNDDAMAGE"
GUILDINVITE
GUILDINVITE: = "GUILDINVITE"
GUILDREMOVE
GUILDREMOVE: = "GUILDREMOVE"
GUILDRESULT
GUILDRESULT: = "GUILDRESULT"
HATCH_PET
HATCH_PET: = "HATCH_PET"
IMMINENT_ARENA_WAVE
IMMINENT_ARENA_WAVE: = "IMMINENT_ARENA_WAVE"
INVDROP
INVDROP: = "INVDROP"
INVITEDTOGUILD
INVITEDTOGUILD: = "INVITEDTOGUILD"
INVRESULT
INVRESULT: = "INVRESULT"
INVSWAP
INVSWAP: = "INVSWAP"
JOINGUILD
JOINGUILD: = "JOINGUILD"
KEY_INFO_REQUEST
KEY_INFO_REQUEST: = "KEY_INFO_REQUEST"
KEY_INFO_RESPONSE
KEY_INFO_RESPONSE: = "KEY_INFO_RESPONSE"
LOGIN_REWARD_MSG
LOGIN_REWARD_MSG: = "LOGIN_REWARD_MSG"
MAPINFO
MAPINFO: = "MAPINFO"
NAMERESULT
NAMERESULT: = "NAMERESULT"
NEWTICK
NEWTICK: = "NEWTICK"
NEW_ABILITY
NEW_ABILITY: = "NEW_ABILITY"
NOTIFICATION
NOTIFICATION: = "NOTIFICATION"
OTHERHIT
OTHERHIT: = "OTHERHIT"
PASSWORD_PROMPT
PASSWORD_PROMPT: = "PASSWORD_PROMPT"
PETUPGRADEREQUEST
PETUPGRADEREQUEST: = "PETUPGRADEREQUEST"
PETYARDUPDATE
PETYARDUPDATE: = "PETYARDUPDATE"
PET_CHANGE_FORM_MSG
PET_CHANGE_FORM_MSG: = "PET_CHANGE_FORM_MSG"
PET_CHANGE_SKIN_MSG
PET_CHANGE_SKIN_MSG: = "PET_CHANGE_SKIN_MSG"
PLAYERHIT
PLAYERHIT: = "PLAYERHIT"
PLAYERSHOOT
PLAYERSHOOT: = "PLAYERSHOOT"
PLAYERTEXT
PLAYERTEXT: = "PLAYERTEXT"
PLAYSOUND
PLAYSOUND: = "PLAYSOUND"
QUESTOBJID
QUESTOBJID: = "QUESTOBJID"
QUEST_FETCH_ASK
QUEST_FETCH_ASK: = "QUEST_FETCH_ASK"
QUEST_FETCH_RESPONSE
QUEST_FETCH_RESPONSE: = "QUEST_FETCH_RESPONSE"
QUEST_REDEEM
QUEST_REDEEM: = "QUEST_REDEEM"
QUEST_REDEEM_RESPONSE
QUEST_REDEEM_RESPONSE: = "QUEST_REDEEM_RESPONSE"
QUEST_ROOM_MSG
QUEST_ROOM_MSG: = "QUEST_ROOM_MSG"
REALM_HERO_LEFT_MSG
REALM_HERO_LEFT_MSG: = "REALM_HERO_LEFT_MSG"
RECONNECT
RECONNECT: = "RECONNECT"
REQUESTTRADE
REQUESTTRADE: = "REQUESTTRADE"
RESET_DAILY_QUESTS
RESET_DAILY_QUESTS: = "RESET_DAILY_QUESTS"
RESKIN
RESKIN: = "RESKIN"
RESKIN_UNLOCK
RESKIN_UNLOCK: = "RESKIN_UNLOCK"
SERVERPLAYERSHOOT
SERVERPLAYERSHOOT: = "SERVERPLAYERSHOOT"
SETCONDITION
SETCONDITION: = "SETCONDITION"
SHOOTACK
SHOOTACK: = "SHOOTACK"
SHOWEFFECT
SHOWEFFECT: = "SHOWEFFECT"
SQUAREHIT
SQUAREHIT: = "SQUAREHIT"
TELEPORT
TELEPORT: = "TELEPORT"
TRADEACCEPTED
TRADEACCEPTED: = "TRADEACCEPTED"
TRADECHANGED
TRADECHANGED: = "TRADECHANGED"
TRADEDONE
TRADEDONE: = "TRADEDONE"
TRADEREQUESTED
TRADEREQUESTED: = "TRADEREQUESTED"
TRADESTART
TRADESTART: = "TRADESTART"
UPDATE
UPDATE: = "UPDATE"
UPDATEACK
UPDATEACK: = "UPDATEACK"
USEITEM
USEITEM: = "USEITEM"
USEPORTAL
USEPORTAL: = "USEPORTAL"
VERIFY_EMAIL
VERIFY_EMAIL: = "VERIFY_EMAIL"
A strongly typed representation of the packet types.


Main Title Text Here
Hops Tasty & Sons new seasons pearl district fixed gear co-op indie rock gentrification Saturday Market it's raining again.
Hops Tasty & Sons new seasons pearl district fixed gear co-op indie rock gentrification Saturday Market it's raining again.
Portland pop-up iceland kale chips tumblr literally meditation banjo ironypin farm-to-table cold-pressed.
Portland pop-up iceland kale chips tumblr literally meditation banjo ironypin farm-to-table cold-pressed.
Portland pop-up iceland kale chips tumblr literally meditation banjo ironypin farm-to-table cold-pressed.
Portland pop-up iceland kale chips tumblr literally meditation banjo ironypin farm-to-table cold-pressed.


Inline Elements An inline element does not start on a new line and only takes up as much width as necessary. Examples of inline elements: span a img


Click to play
This is a real time block (direct light only) ray tracer!
Move: WASD
Jump: SPACE
Look: MOUSE
Place block: LEFT MOUSE
Remove block: RIGHT MOUSE
Change block: NUMBERS (1-9)/SCROLLWHEEL
Change selected block color: Q
Change renderer type (0: Slow, 1: Faster, 2: No raytracer): U/J
Menu and controls: ESC


1. You can invite friends by sharing link to your social media accounts.
2. After tapping on the shared link, the invitee can connect their social accounts to Streamkar and download the app.
a) Inviter will get 100 coins immediately when the new invitee login to the app for the first time.
b) Inviter will get 100 coins when the same invitee again login to the app within 7 days.
c) Inviter will get 100 coins when the same invitee again login to the app within 30 days.
d) Inviter will get 100 coins when the invitee topup account for the first time.
3. Invitees need to be newly registered users.
4. Streamkar reserves ultimate rights to interpret the rules any time.


{%load static%}
Cloud Computing refers to manipulating, configuring, and accessing the hardware and software resources remotely. It offers online data storage, infrastructure, and application. Cloud computing offers platform independency, as the software is not required to be installed locally on the PC.


Web Server
Overview
Fix Sync/Async
Description
Using the information you have learned correct the application below.
Instructions
- Using Node Sync/Async knowledge and online resources correct the problems on the following code
- There are 10 errors!
-
var http = require('htt');
var myname = functon(){
console.log("Here is my IP address");
}
function callHttpbi() {
let promise = new Promise((resolve, reject) => {
http.get(
'http://httpbin.org/ip',
function(response) {
var str="";
response.setEncoding('utf8');
response.on('data', function(data){
str += data;
});
response.on('end', function() {
var result = JSON.parse(str);
myips = result.origin;
resolve()
});
}
);
});
let result = await promise;
result;
}
function executeAsyncTask(){
const valueA = await callHttpbin()
const valueB = myname();
console.log(valueB+" "+valueA)
// Output Here is my IP address <IP_ADDRESS>, <IP_ADDRESS>
Rubric
| Each Error is %10 x 10 | 10.00% |
Deliverable
- You must submit a GIT repo and demo video for a credit.
- Submit a link to your assingment in your GIT repo.
- Submit a short/unlisted video link for your demo video in YouTube


Square helps you discover the people and places around you using live AR mapping.
Find people who share your interests, compare prices and form new connections.
Square helps you discover the people and places around you using live AR mapping.
Find people who share your interests, compare prices and form new connections.
Look around, everyone has something to offer ;)
Square converts your neighbourhood into a resourceful
space. Designed to encourage peer to peer exchange, Square uses augmented reality to capture and display live interests
on map and on camera.
You may add multiple interests, tag values to each interest, and switch availability.
Square allows you to find while you move and alerts you when searched interests are within range.
You can share searches and compare results with friends and groups.
Improve search settings for preferred range and specific features.
Similar to using objects as pins, Square also allows you to create animated personalised avatars. You can spin around, wink an eye, laugh out loud, make a polka face or use a combination of gestures when sharing a location or interest, or making a new friend.
Look around, everyone has something to offer ;)
Square converts your neighbourhood into a resourceful
space. Designed to encourage peer to peer exchange, Square uses augmented reality to capture and display live interests
on map and on camera.
You may add multiple interests, tag values to each interest, and switch availability.
Square allows you to find while you move and alerts you when searched interests are within range.
You can share searches and compare results with friends and groups.
Improve search settings for preferred range and specific features.
Similar to using objects as pins, Square also allows you to create animated personalised avatars. You can spin around, wink an eye, laugh out loud, make a polka face or use a combination of gestures when sharing a location or interest, or making a new friend.


Milestones in the History of Ziraat Bank
Since the very first day of its operation, Ziraat Bank has been shaping the sector, guided by its deeply rooted and sound values, and aims to become the most efficient and effective bank in the future by carrying its service ability to a new level every year.
1863- The Homeland Coffers which forms the basis of today’s Ziraat Bank, were established by Mithat Pasha in the town of Pirot (20 November).
1883- The Homeland Coffers were replaced by Benefit Funds. Steps were taken to ensure the Coffers were strong and substantive in structure.
1888- The governing statute of Ziraat Bank entered force on 28 August, and the Bank’s head office began operations on 17 September. With TL 10 million in capital, Ziraat Bank was converted into a government institution under the support of the Ministry of Trade and Public Works.
1916- The Ziraat Bank law was enacted (23 March). Loans for agricultural businesses and advance loans on bills and guarantee were provided. The first government bills were issued. Instruments similar to today’s depository certificates were issued. First seed-financing credit given.
1919- Money was provided from Ziraat Bank’s funds to meet the expenses of the detachments of the Turkish National Army during the War of Independence and used to purchase equipment for the soldiers.
1920- Upon the establishment of the Grand National Assembly of Turkey, the management of all branches and funds in the territories under Parliament’s control was assigned to the Ankara Branch of Ziraat Bank.
1922- The control of Izmir operations, followed by Istanbul operations, was transferred to the Ankara Branch, and the Bank was reunified on 23 October 1922.
1923- With the establishment of the Turkish Republic, Ziraat Bank embarked upon a period of rapid growth and extensive service delivery.
1945- Regulations for the Turkish Republic Ziraat Bank were completed and entered into effect.
1975- A representative office was opened in Hamburg and branches were opened in Turkish Republic of Northern Cyprus, Lefkoşa, Gazimağusa and Güzelyurt.
1977- Regional headquarters were established; Aegean (Izmir), Marmara (Istanbul), Anatolia (Ankara), Eastern Anatolia (Erzurum), Southeastern Anatolia (Diyarbakır). As a result of the increased number of branches, a regional management system started to be applied instead of the central management system.
1981- In order to exhibit the history of the Bank, the Ziraat Bank Museum - the first banking museum in Turkey - was established at the VIP lounge of the Bank in the main headquarters.
1983- The Bank’s New York representative office was converted into a branch, while representative offices entered service in Duisburg, Berlin, Munich, Stuttgart and Rotterdam.
1986- The Antalya and Mersin Free Region branches were opened.
1988- The Southeast Anatolian Project loans directorate was established. Loan support, suitable for the characteristics of the region, was provided to regional producers. Ziraat Bank was ranked in 452nd position in Euromoney Magazine’s list of the top 500 banks (according to equity size).
1989- The banking school was launched. The first investment fund (Fund I) was established. Gold sales were initiated under the name of Ziraat Gold. The first consumer loan was issued, along with the first credit card. The Bingöl-Muş rural development Project was initiated.
1990- As well as ATM machines, foreign currency exchange machines were brought into service for the first time in Turkey, along with self-service information terminals, voice messaging systems and the Bingöl-Muş rural area development Project, which included a branch not requiring human staffing, aiming to provide uninterrupted 24-hour service. The transactions of bills-bonds and stocks were initiated. New funds were introduced (Fund II, III and IV). The change to the SWIFT system was carried out.
1993- The Istanbul Clearing Transactions Centre entered operation, working with the Istanbul Branch. Ziraat Bank Moscow, Kazkommerts Ziraat International Bank (KZI Bank), Turkmen Turkish Commercial Bank (TTC Bank) and Uzbekistan Turkish Bank (UT Bank) were established and entered operation. Ziraat Bank was ranked 202nd in Euromoney’s top 500 banks, 41st in terms of net profit, and the world’s first in terms of its return on equity. Moreover, the Bank ranked 12th in the “World’s 50 most rapidly developing banks” listing.
1998- The Sofia Branch entered operation. The Hannover, Frankfurt and Duisburg representative offices began to operate as branches.
1999- The number of the Bank’s subsidiaries reached 21. FX-linked, daily and spot loans were executed.
2000- The Law passed on 25 November, 2000 paved the way for Ziraat Bank to be transformed into a joint-stock company.
2001- The Bank’s organizational structure is completely transformed to meet the needs of modern banking and international competition. A marketing angle was added to the Bank’s operations weighted banking approach. Emlak Bank was merged into Ziraat Bank.
2009- In Greece, the Athens and Komotini branches entered operation. The Bank announced TL 3.51 billion net profit the highest profit ever announced by a Turkish company to date.
2011- Branches were opened in Erbil in Iraq and Jeddah in Saudi Arabia. Ziraat Bank was ranked second place in Western Europe and the fifth place in the world in the “Best Profits on Average Capital” category, in the “World’s Top 1,000 Banks” published by The Banker magazine. The Bank launched the change and transformation project under the slogan “Together to a Better Future”, which is aligned with the Bank’s vision, mission and values and which took account of the best practices in the industry.
2013- In its 150th anniversary year, 150 new branches were opened. The Bank posted a net profit of TL 3.3 billion for the period and became most profitable bank in the sector.


SendRequest Class Reference
| Inherits from | NSObject |
| Declared in | SendRequest.h |
Overview
This class is designed to easily allow you to make a request to the Valentine One. Simply create an instance and call your desired function.
Tasks
-
– reqVersion:
-
– reqSerial:
-
– reqUserBytes
-
– reqWriteUserBytes:
-
– reqFactoryDefaultDestination:
-
– reqStartAlertData
-
– reqStopAlertData
-
– reqMuteOn
-
– reqMuteOff
-
– reqChangeMode:
-
– reqTurnOffMainDispay
-
– reqTurnOnMainDispay
-
– reqBatteryVoltage
-
– SENDBADPACKET
-
– reqSavvyStatus
-
– reqVehicleSpeed
-
– reqOverrideThumbwheelMPH:
-
– reqOverrideThumbwheelKPH:
-
– reqSetSavvyUnmuteEnable:
-
– reqWriteSweepDefinitionIndex:UpperEdge:LowerEdge:Commit:
-
– reqAllSweepDefinitions
-
– reqDefaultSweeps
-
– reqMaxSweepIndex
-
– reqSweepSections
Instance Methods
reqWriteSweepDefinitionIndex:UpperEdge:LowerEdge:Commit:
The index of the sweep definition to be written.
- (void)reqWriteSweepDefinitionIndex:(int)index UpperEdge:(uint16_t)ue LowerEdge:(uint16_t)le Commit:(bool)commit
Parameters
- index
The index of the sweep definition to be written.
- ue
The upper edge of the sweep
- le
The lower edge of the sweep
- commit
Set this to true if it is the last sweep definition to be sent.
Declared In
SendRequest.h


Back
Help * To begin the game press button "Begin". * Press the key "Space" to move the ball and start the game. * Press keys "left" and "right" or "A" and "D" to control your platform and catch the ball. * In the bottom right angle there are your life, your score and your removed bricks.


Oops!
Looks like The Page is Lost :(
The link you followed probably broken, or
The page has been either removed or doesn't exists.
Go To Home


"
Our Unique bouquet has special treat as its name,we make your blissful day unique by giving
you
you exactly the same service you have ordered.
when you choose a unique bouquet we give you the latest gown,bridemaids dresses and suits
with the latest decoration styles
this goes hand inhand with making sure you get a very beautiful garden to have your
photoshoot from
and also to make sure your wedding cars their deco are on point. we make sure that you
get enough options, like choosing if you want many flowers, too much lights or if you want it to be
unique but simple.
you will have the option of paying the whole amount in installments until the last
day of your wedding.a customer will have option to get a delivery of their wedding clothes to their
place without paying any amount regarding delivery fee.
N.B: The whole unique bouquet covers whole decoration including wedding clothes and flowers so once
you have chosen unique bouquet you don't pay us any another amount aside.


Phone
US Postal Code
Canadian Postal Code
15 or 16 digit Credit Card (switches on length)
15 or 16 digit Credit Card (switches on 37 or 34)


AppModel.ml
log in
sign up
login
Forgotten account
sign in with google
sign in with linkedin
sign in with microsoft
create account
Clicking
create account
means that you are agree to our
terms of services
.
sign up with google
sign up with linkedin
sign up with microsoft


Some new content has been added into channels that you are subscribed to.
You are receiving this email because you have subscribed to one or more Channels. You can change your subscription preferences on your account page.


Ahmed Ahmed Ayman Ebrahim
Student At Future Academy
Personal Information
- Full Name: Ahmed Ayman Ahmed Ebrahim
- Date of Birth: 27/09/1998
- Nationality: Egypt
- Marital Status: single
- Mobile :<PHONE_NUMBER>4
- Email<EMAIL_ADDRESS>Languages
Education
(2016-2020)
Studied At :Future Academy For Higher Institute
Faculty of Computr Science
Faculty Of Computer Science
- Minor: Computer Department
- Major: Software Engineering
Professional Skills
- Hard worker, active, ambitious and flexible.
- Critical thinking and problem solving skills.
- Quick and self-learner.
Professional Skills
- (2016)
Feb to March: create library management system (C++, java)
-
(2017)
Jan to Feb : create library management system (java) using quick sort
-
Feb to April : create desktop app about web crawler (java Fx) using mcv
Advanced
- Database: (ORACLE-MYSQL)
- Java EE
- Java SE
- Java Fx
Intermediate
Courses completed
- Introduction to computer
- Data structure
- object oriented programming
- programming language 1 and 2
- Algorithm
- Visual programming


HI This course is an introduction to the fundamentals of Computer Science that will provide students with a foundation for future courses in Computer Science. The course is a broad survey of the discipline through topics that allow students to understand the capabilities of computer systems in terms of: the computer architecture; operating systems and computer networks; software and software development; data organization and visualization; and the potential of computing machines.


Introduction¶
Contents
The RNA Sequence to NAscent Protein Simulation(rSNAPsim) is a Python module that runs provides several useful methods for solving ribosomal movement simulations on mRNA during translation.
rSNAPsim provides built in methods for the following:
- Reading and manipulating mRNA sequences at the nucleotide or amino acid level
sequence optimization / deoptimization
fluorescent tag editing
- Solving simulations of ribosomal movement on mRNA
Multicolor Fluorescent tag simulations
Gillespie, ODE, Ballistic solutions
Collision statistics and simulations
ribosomal loading / density
Frap and inhibitor simulations
Kymograph creation
- Novel models
custom model builder: Create simulations of phenomena like frameshifting, IRES, run-through stops
tRNA pool resource simulation
- Flourescent Intensity Analysis
FCS, Multicolor Correlations
Intensity statistics
- Optimization
Load and manage intensity data and fit to provided models
Metropolis Hastings / scipy optimization
Installation¶
Recommended Enviroment¶
Its recommended to create a new base conda enviroment as well:
conda create --name <myenv> python=<python_version>
conda activate myenv
Conda install¶
conda install eigen
pip install rsnapsim
pip install rsnapsim-ssa-cpp
If the rsnapsim-ssa-cpp fails to compile / install, you may have to include some custom compilers in the anaconda enviroment to point too:
Linux¶
conda install -c anaconda gxx_linux-64
conda install -c anaconda gcc_linux-64
MacOS¶
conda install -c anaconda clang_osx-64
conda install -c anaconda clangxx_osx-64
Future Work¶
Update GUI


Namespace SiaNet.Initializers
Classes
BaseInitializer
Base class for the initializer. Initializes the tensor weights or bias with values based on the type of the initializer selected.
Constant
Initializer that generates tensors initialized to a constant value.
GlorotNormal
Glorot normal initializer, also called Xavier normal initializer.
It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.
GlorotUniform
Glorot uniform initializer, also called Xavier uniform initializer.
It draws samples from a uniform distribution within[-limit, limit] where limit is sqrt(6 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.
HeNormal
He normal initializer.
It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / fan_in) where fan_in is the number of input units in the weight tensor.
HeUniform
He uniform variance scaling initializer.
It draws samples from a uniform distribution within[-limit, limit] where limit is sqrt(6 / fan_in) where fan_in is the number of input units in the weight tensor.
LecunNormal
LeCun normal initializer. It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(1 / fan_in) where fan_in is the number of input units in the weight tensor.
LecunUniform
LeCun uniform initializer. It draws samples from a uniform distribution within[-limit, limit] where limit is sqrt(3 / fan_in) where fan_in is the number of input units in the weight tensor.
Ones
Initializer that generates tensors initialized to 1.
RandomNormal
Initializer that generates tensors with a normal distribution.
RandomUniform
Initializer that generates tensors with a uniform distribution.
TruncatedNormal
Initializer that generates a truncated normal distribution. These values are similar to values from a RandomNormal except that values more than two standard deviations from the mean are discarded and redrawn. This is the recommended initializer for neural network weights and filters.
VarianceScaling
Initializer capable of adapting its scale to the shape of weights. With distribution="normal", samples are drawn from a truncated normal distribution centered on zero, with stddev = sqrt(scale / n) where n is:
- number of input units in the weight tensor, if mode = "fan_in"
- number of output units, if mode = "fan_out"
- average of the numbers of input and output units, if mode = "fan_avg"
With distribution = "uniform", samples are drawn from a uniform distribution within[-limit, limit], with limit = sqrt(3 * scale / n).
Zeros
Initializer that generates tensors initialized to 0.


Opportunities for a high quality education for all children
By reserving a minimum of 51% of its enrollment for low-income or at risk children. A sliding scale tuition is based on family income. Approximately 80% of families enrolled are low-income or at risk.


Welcome to USF Automated Parking System
Please select a date and time to start booking:
Book
Availability:
Book
Back
Home
Please select Zone:
Zone A
Zone B
Zone C
Zone D
Back
Home
Please Select a Parking lot in
Parking Lot 1
Parking Lot 2
Parking Lot 3
Back
Home
Booking for
in
Name:
Email:
Phone No:
Car License:
Entry:
Exit:
Back
Home
Booking Review:
Zone:
Parking Lot:
Name:
Email:
Phone:
License No:
Entry
Exit:
Book
Home
Booking Successful!
Start new Booking


A physics object that can change by adding and removing different objects. Ships have multiple important features such as:
More...
#include <Ship.h>
|
| | Ship (vec2 position, float acceleration, float speedCap, float turnSpeed, float orientation, vec4 colour, aie::EInputCodes inputLeft, aie::EInputCodes inputRight, aie::EInputCodes boostInput) |
| | The constructor of the ship that allows players to discern different ships and have different controls More...
|
| |
| virtual void | fixedUpdate (vec2 gravity, float timeStep) |
| | An update called independantly regardless of frame rate More...
|
| |
| virtual void | draw () |
| | Draws a sphere in the exact centre of the ship More...
|
| |
| void | addToShip (RigidBody *rb, vec2 localPos, float localOri) |
| | Adds a RigidBody to the ship by making it maintain it's current position and orientation relative to the ship's More...
|
| |
| void | removeFromShip (RigidBody *rb) |
| | Removes a RigidBody from the ship and turns it back to a normal object More...
|
| |
| virtual void | shipMove (vec2 force) |
| | Continuously moves the ship with a force divided by its mass More...
|
| |
| virtual void | shipContact (vec2 contact) |
| | Makes sure objects in the ship stay together when a collision happens More...
|
| |
| virtual void | shipBreak () |
| | Removes all the objects in the ship when it breaks More...
|
| |
|
virtual void | setPosition (vec2 position) |
| |
|
virtual vec2 | getPosition () |
| |
|
vec2 | getVelocity () |
| |
|
float | getSpeed () |
| |
|
virtual float | getMass () |
| |
|
float | getOrientation () |
| |
|
float | getturnSpeed () |
| |
|
vec4 | getColour () |
| |
| | PhysicsObject (ShapeType a_shapeID, vec4 colour) |
| | Assigns deriving objects their shape ID and colour through their own constructors More...
|
| |
| virtual void | resetPosition () |
| | A virtual function that gets overrided by deriving classes More...
|
| |
|
virtual float | getEnergy () |
| |
|
virtual void | setColour (vec4 colour) |
| |
|
vec4 | getColour () |
| |
|
ShapeType | getShapeID () |
| |
A physics object that can change by adding and removing different objects. Ships have multiple important features such as:
- The centre-most position of the ship is displayed by a sphere that doesn't interact with physics object.
- The ship doesn't start with any parts, so when constructed it will need seperate parts to be added to the scene and then to the ship.
- All rigidbodies have a pointer to a ship, both this pointer and a bool are used to determine if collisions are being made with a ship and if both pieces are from different ships.
- Rigidbodies can be added and removed from the ship at any point in time.
◆ Ship()
| Ship::Ship |
( |
vec2 |
position, |
|
|
float |
acceleration, |
|
|
float |
speedCap, |
|
|
float |
turnSpeed, |
|
|
float |
orientation, |
|
|
vec4 |
colour, |
|
|
aie::EInputCodes |
inputLeft, |
|
|
aie::EInputCodes |
inputRight, |
|
|
aie::EInputCodes |
boostInput |
|
) |
| |
The constructor of the ship that allows players to discern different ships and have different controls
- Parameters
-
| position | The position of the centre of the ship |
| acceleration | The rate at which the ship builds speed |
| speedCap | The fastest speed the ship can go |
| turnSpeed | The speed that the ship rotates at |
| orientation | The direction the ship is facing |
| colour | The colour of every object that is added to the ship |
| inputLeft | The key input used to turn the ship left |
| inputRight | The key input used to turn the ship right |
| boostInput | The key input used to make the ship 20% faster |
◆ addToShip()
| void Ship::addToShip |
( |
RigidBody * |
rb, |
|
|
vec2 |
localPos, |
|
|
float |
localOri |
|
) |
| |
Adds a RigidBody to the ship by making it maintain it's current position and orientation relative to the ship's
- Parameters
-
| rb | The RigidBody being added to the ship |
| localPos | The object's position relative to the ship's |
| localOri | The object's orientation relative to the ship's |
◆ draw()
Draws a sphere in the exact centre of the ship
Implements PhysicsObject.
◆ fixedUpdate()
| void Ship::fixedUpdate |
( |
vec2 |
gravity, |
|
|
float |
timeStep |
|
) |
| |
|
virtual |
An update called independantly regardless of frame rate
- Parameters
-
| gravity | The gravity of the physics application |
| timeStep | The time between every fixed update |
Implements PhysicsObject.
◆ removeFromShip()
Removes a RigidBody from the ship and turns it back to a normal object
- Parameters
-
◆ shipBreak()
Removes all the objects in the ship when it breaks
Implements PhysicsObject.
◆ shipContact()
| void Ship::shipContact |
( |
vec2 |
contact | ) |
|
|
virtual |
Makes sure objects in the ship stay together when a collision happens
- Parameters
-
| contact | The point of contact between the ship and another object |
Implements PhysicsObject.
◆ shipMove()
| void Ship::shipMove |
( |
vec2 |
force | ) |
|
|
virtual |
Continuously moves the ship with a force divided by its mass
- Parameters
-
| force | The acceleration of the ship multiplied by its orientation |
Implements PhysicsObject.
◆ ball
The visual display of the centre of the ship
◆ input
◆ m_acceleration
| float Ship::m_acceleration |
|
protected |
The rate at which the ship builds up speed
◆ m_boost
| aie::EInputCodes Ship::m_boost |
|
protected |
The input required to increase the speed of the ship
◆ m_boostSpeed
The amount of speed gained by the ship when the boost input is pressed
◆ m_colour
The colour of all the ship's parts
◆ m_left
| aie::EInputCodes Ship::m_left |
|
protected |
The input required to rotate the ship left
◆ m_mass
◆ m_orientation
| float Ship::m_orientation |
|
protected |
The rotation of the controller of the ship
◆ m_position
The position of the centre of the ship
◆ m_right
| aie::EInputCodes Ship::m_right |
|
protected |
The input required to rotate the ship right
◆ m_speedCap
The fastest possible speed of the ship
◆ m_turnSpeed
The turning speed of the ship
◆ m_velocity
◆ shipBroke
| bool Ship::shipBroke = false |
|
protected |
Says if the ship should break as a result of a collision
◆ shipPartOrientation
| vec2 Ship::shipPartOrientation |
|
protected |
Makes the ship parts follow the ship controller's orientation
◆ shipParts
A list of all the RigidBodies that build up the ship
The documentation for this class was generated from the following files:
- C:/Users/s191796/source/repos/Physics/Project2D/Ship.h
- C:/Users/s191796/source/repos/Physics/Project2D/Ship.cpp


Isar735.github.io
Creative writing emotive language.
Creative writing emotive language and written case study preparation.


Contribute your ideas,
start a spark
. Search for ideas,
carry a fire
.
Start a spark.
Email address
Description
File input
Submit
Carry a fire.
Panel title
Panel content
Panel title
Panel content
Panel title
Panel content


Router5
Constructor
| Router5(routes, [opts]) | ||
|---|---|---|
| Params | ||
| routes | RouteNode[] Object[] RouteNode Object |
The router routes |
| opts | Object={} |
The router options: useHash, defaultRoute and defaultParams can be specified. |
| Return | Router5 |
The router instance |
Methods
| router5.setOption(opt, val) Set an option value | ||
|---|---|---|
| Params | ||
| opt | String |
The option to set |
| val | * |
The option value |
| Return | Router5 |
The Router5 instance |
| router5.add(routes) Add route(s) | ||
|---|---|---|
| Params | ||
| routes | RouteNode[] Object[] RouteNode Object |
Route(s) to add |
| Return | Router5 |
The Router5 instance |
| router5.addNode(name, path, [canActivate]) Add a route to the router. | ||
|---|---|---|
| Params | ||
| name | String |
The route name |
| path | String |
The route path |
| canActivate | Function |
A function to determine if the route can be activated. It will be invoked during a transition with `toState` and `fromState` parameters. |
| Return | Router5 |
The Router5 instance |
| router5.onTransition(fn) Set a transition middleware function | ||
|---|---|---|
| Params | ||
| fn | Function |
The middleware function |
| router5.start([startPathOrState], [done]) Start the router | ||
|---|---|---|
| Params | ||
| startPathOrState | String Object |
An optional start path or state (use it for universal applications) |
| done | Function |
An optional callback which will be called when starting is done |
| Return | Router5 |
The router instance |
| router5.stop() Stop the router | ||
|---|---|---|
| Return | Router5 |
The router instance |
| router5.getState() Return the current state object | ||
|---|---|---|
| Return | Object |
The current state |
| router5.isActive(name, [params], [equality]) Whether or not the given route name with specified params is active. | ||
|---|---|---|
| Params | ||
| name | String |
The route name |
| params | Object={} |
The route parameters |
| equality | Boolean=false |
If set to false (default), isActive will return true if the provided route name and params are descendants of the active state. |
| Return | Boolean |
Whether nor not the route is active |
| router5.areStatesDescendants(parentState, childState) Whether two states are descendants | ||
|---|---|---|
| Params | ||
| parentState | Object |
The parent state |
| childState | Object |
The child state |
| Return | Boolean |
Whether the two provided states are related |
| router5.addListener(cb) Add a route change listener | ||
|---|---|---|
| Params | ||
| cb | Function |
The listener to add |
| Return | Router5 |
The router instance |
| router5.removeListener(cb) Remove a route change listener | ||
|---|---|---|
| Params | ||
| cb | Function |
The listener to remove |
| Return | Router5 |
The router instance |
| router5.addNodeListener(name, cb) Add a node change listener | ||
|---|---|---|
| Params | ||
| name | String |
The route segment full name |
| cb | Function |
The listener to add |
| Return | Router5 |
The router instance |
| router5.removeNodeListener(name, cb) Remove a node change listener | ||
|---|---|---|
| Params | ||
| name | String |
The route segment full name |
| cb | Function |
The listener to remove |
| Return | Router5 |
The router instance |
| router5.addRouteListener(name, cb) Add a route change listener | ||
|---|---|---|
| Params | ||
| name | String |
The route name to listen to |
| cb | Function |
The listener to add |
| Return | Router5 |
The router instance |
| router5.removeRouteListener(name, cb) Remove a route change listener | ||
|---|---|---|
| Params | ||
| name | String |
The route name to listen to |
| cb | Function |
The listener to remove |
| Return | Router5 |
The router instance |
| router5.onTransitionStart(cb) Add a transition start callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.offTransitionStart(cb) Remove a transition start callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.onTransitionCancel(cb) Add a transition cancel callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.offTransitionCancel(cb) Remove a transition cancel callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.onTransitionError(cb) Add a transition error callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.offTransitionError(cb) Remove a transition error callback | ||
|---|---|---|
| Params | ||
| cb | Function |
The callback |
| Return | Router5 |
The router instance |
| router5.registerComponent(name, component) Register an active component for a specific route segment | ||
|---|---|---|
| Params | ||
| name | String |
The route segment full name |
| component | Object |
The component instance |
| router5.deregisterComponent(name) Deregister an active component | ||
|---|---|---|
| Params | ||
| name | String |
The route segment full name |
| Return | Router5 |
The router instance |
| router5.canActivate(name, canActivate) A function to determine whether or not a segment can be activated. | ||
|---|---|---|
| Params | ||
| name | String |
The route name to register the canActivate method for |
| canActivate | Function |
The canActivate function. It should return `true`, `false` or a promise |
| Return | Router5 |
The router instance |
| router5.buildUrl(route, params) Generates an URL from a route name and route params. The generated URL will be prefixed by hash if useHash is set to true | ||
|---|---|---|
| Params | ||
| route | String |
The route name |
| params | Object |
The route params (key-value pairs) |
| Return | String |
The built URL |
| router5.buildPath(route, params) Build a path from a route name and route params The generated URL will be prefixed by hash if useHash is set to true | ||
|---|---|---|
| Params | ||
| route | String |
The route name |
| params | Object |
The route params (key-value pairs) |
| Return | String |
The built Path |
| router5.matchPath(path) Match a path against the route tree. | ||
|---|---|---|
| Params | ||
| path | String |
The path / URL to match |
| Return | Object |
The matched state object (null if no match) |
| router5.navigate(name, [params], [opts], done) Navigate to a specific route | ||
|---|---|---|
| Params | ||
| name | String |
The route name |
| params | Object={} |
The route params |
| opts | Object={} |
The route options (replace, reload) |
| done | Function |
A optional callback(err) to call when transition has been performed either successfully or unsuccessfully. |
| Return | Function |
A cancellation function |


NAME
grpc_arg_stack_destruct
- Destructs a stack
SYNOPSIS
int grpc_arg_stack_destruct(grpc_arg_stack_t *stack)
ARGUMENTS
grpc_arg_stack *stack
- The stack
DESCRIPTION
The grpc_arg_stack_destruct() function destructs a stack.
This function is MT-safe.
RETURN VALUE
Returns 0 if successful. Returns -1 in the event of an error.
ERRORS
GRPC_NOT_INITIALIZED
- The grpc_initialize() function has not been executed.
GRPC_OTHER_ERROR_CODE
- Internal error detected.
last update : $Date: 2005/07/11 07:11:24 $


Documentation and examples for Bootstrap typography, including global settings, headings, body text, lists, and more.
| Heading | Example |
|---|---|
|
|
h1. Bootstrap heading |
|
|
h2. Bootstrap heading |
|
|
h3. Bootstrap heading |
|
|
h4. Bootstrap heading |
|
|
h5. Bootstrap heading |
|
|
h6. Bootstrap heading |
.h1
through.h6
classes are also available, for when you want to match the font styling of a heading but cannot use the associated HTML element.
h1. Bootstrap heading
h2. Bootstrap heading
h3. Bootstrap heading
h4. Bootstrap heading
h5. Bootstrap heading
h6. Bootstrap heading
Traditional heading elements are designed to work best in the meat of your page content. When you need a heading to stand out, consider using adisplay heading—a larger, slightly more opinionated heading style.
| Display 1 |
| Display 2 |
| Display 3 |
| Display 4 |
Traditional heading elements are designed to work best in the meat of your page content. When you need a heading to stand out, consider using adisplay heading—a larger, slightly more opinionated heading style.
You can use the mark tag to highlight text.
This line of text is meant to be treated as deleted text.
This line of text is meant to be treated as no longer accurate.
This line of text is meant to be treated as an addition to the document.
This line of text will render as underlined
This line of text is meant to be treated as fine print.
This line rendered as bold text.
This line rendered as italicized text.
Align terms and descriptions horizontally by using our grid system’s predefined classes (or semantic mixins). For longer terms, you can optionally add a.text-truncate
class to truncate the text with an ellipsis.
Vestibulum id ligula porta felis euismod semper eget lacinia odio sem nec elit.
Donec id elit non mi porta gravida at eget metus.


Gradescope Toolkit!
Colors
Run Output
Public Results
Problems
All
Made By:
Ben Silverman (bsilverm)
Contact


I build and use tools to tell stories
I'm a developer/data journalist. I write bits of code that collects and analyses data and other bits that helps tell a clear story about that data. Sometimes I write bots that collect and yell and interact.
I am a technologist working with both software and hardware.
Sometimes I teach others.
I don't write nearly enough.


Lorem ipsum dolor sit amet, consectetur adipisicing elit. Dicta, ea. Consectetur magnam quo itaque explicabo temporibus nemo modi eveniet libero labore sit voluptate nostrum unde excepturi, accusamus officia, nesciunt ducimus suscipit tempora alias facere ad cumque voluptatibus dicta! In quasi nihil iste ipsum, aut harum sit ex quas accusamus at?
Nairobi is Kenya’s capital city. Nairobi has a lovely climate with warm and cool atmosphere for most of the year. The average temperature in Nairobi in a year is 11.1 °C. The brightest and coolest part of the year is from December to March, when temperatures average is about 10°C.
Dubai is one of the most popular cities in the United Arab Emirates and is known for the luxurious lifestyle, trendy fashion, and lively nightlife. Located on the southeast coast of the Persian Gulf, this beautiful city is the capital of The Emirate of Dubai.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Hic, enim?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Hic, enim?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Hic, enim?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Hic, enim?


@inheritdoc
@inheritdoc
The transformation object (fluent interface)
@inheritdoc
@inheritdoc
the uri of the source meta model
The transformation object (fluent interface)
Sets the source metamodel and model for this transformation
Sets the source metamodel and model for this transformation
A transformation that should serve as the source for this transformation
The transformation object (fluent interface)
Getter for the Model object this transformation transforms from
Getter for the Model object this transformation transforms from
@inheritdoc
@inheritdoc
an iterable of data that should be transformed by this transformation. it must conform to the meta model of the source model
The transformation object (fluent interface)
@inheritdoc
@inheritdoc
the path to a file that contains data conforming to the source model of this transformation
The transformation object (fluent interface)
The logger instance for each class
The logger instance for each class
Performs this transformation
Performs this transformation
A list of instantiated source model elements
Performs this transformation
Performs this transformation
The path to the source model
sets the generator for this model to text transformation
A Model-To-Text transformation object. Uses aIM2TGenerator to generate the text from a model


Bringing a healthy, quick snack to locations untapped by brick-and-mortar stores!
Find Out MoreFroYo XPress is more than frozen yogurt. We leverage the fundamental concept of autonomously dispensing food and beverages to increase affordability and accessibility of food. Digitization of business is coming and we are on the forefront of this trend. Large companies will not be the only ones to benefit. Our mission is to keep small and mid-sized food and beverage vendors savvy as digitization becomes transformative to their space. Also, everyone loves froyo. By automating retail food and beverage dispensing, FroYo XPress will make nourishment cheaper and more accessible to current consumers, and in the long term, will allow lower income consumers to have access to food that they never had access to before. Technology brings retail infrastructure to a turning point, as our ideas of automation finally have the resources to be brought to market. Our mission is to engage food and beverage retailers with the future of digitized business, while making food and beverage highly accessible and more affordable to consumers of all kinds.
Get Started!Our templates are updated regularly so they don't break.
You can use this theme as is, or you can make changes!
We update dependencies to keep things fresh.
You have to make your websites with love these days!
FroYo XPress is composed of passionate, dedicated students at Purdue University. We met our freshman year in the Entrepreneurship Learning Community, and have been working together since. We've won 2nd Place in the Burton D. Morgan Business Plan Competition, placed as a finalist in the Baylor New Venture Competition, competed in the Big Sell, and earned the $20,000 Elevate Foundry Grant.
CEO. Industrial Engineering Major from Indiana.
COO. Computer Science Major from California.
CFO. Industrial Engineering Major from Michigan.
Purdue professors, EIRs from Purdue Foundry, Silicon Valley Entrepreneurs
Ready to install a FroYo XPress machine near you? That's great! Send us an email and we will get back to you as soon as possible!
510-579-0004


if you ever see an application error...no matter how minor...it's worth poking at for more severe implications
ie: json says error at X location, maybe serialization. maybe passing to something else to execute. maybe something more
python shells are awesome
Always have a way to spawn a second shell
look at network connections, including UDP
look at processes other people are running. Priv esc isn't always straight to root...
sudo tcpdump requires -Z root and -z ./file is way easier to exploit than trying single commands like on gtfo bins


How not to wreck a nice beach
(Quora)
People nowadays commonly use speech-to-text tools for myriad uses, including writing text messages, entering todo lists, and writing emails. However, increasing numbers of enterprising sorts including just plain folk are starting to warm up to using dictation software for writing longer form content such as journals and even novels.
Dictation software has been generally available for many years, in the form of commercial off the shelf application software, text editors in desktop operating systems, notepads in tablet devices, email clients in mobile phones, and more recently in cloud-based document editors, available to the user from any device that can run a web browser.
But what if you have a large-ish number of audio files? It turns out there isn't a comparably inexpensive and easy way to handle even modestly sized batches of files using those just aforementioned tools. There do exist commercially available alternatives, which will gladly take those batches of audio files off your hands and return high quality text. But these are still rather human labor intensive, which means that they remain expensive.
The typical going rate is about a $1/minute, although with a bit of coding effort (typically meaning slicing files into uniform size work units, farming said work units out to a distributed online on-demand work force such as mechanical turk, then resplicing the files back together) apparently can bring the price down to somewhat, say 70 cents/minute. (The slicing and resplicing is needed for quality assurance as well as to reduce privacy and security issues.) That 70 cents a minute is still rather unaffordable to the typical consumer who is a tad long-winded, much less the odd sort who just happens to have a boat load of such files. Not to mention the concerns related to having unknown on-demand workers hearing an early preview of your memoirs (cf. Long Form Voice Transcription, Wired, April 2016).
Fortunately, an affordable alternative is emerging, that is, if you're willing to write a bit of code. All of the hyperscale cloud api providers have made their deep learning speech-to-text models available for a small fraction of the dollar cost of the aforementioned human-corrected transcription services, and two of them are now appealing enough for use by individuals or nonprofits to apply to long form content. Currently you can get cloud api based speech transcription for prices ranging from 2 to 2.4 cents per minute, with an additional allowance free on a monthly basis. Moreover, they effortlessly handle large batches in a single bound. You upload your files to the cloud, offloading the processing from your laptop. Whereas your desktop software or even embedded operating system software would slow your entire machine down to a crawl during this process you could be processing batches of files in parallel up in the cloud.
Although there is still that small issue of having to write some code in order to get this amazing cost and time reduction. I went and wrote said code.
So this amazing capability is generally available at a reasonable price to anyone with a laptop, internet connection, and credit card with an embarrassingly low limit. But it isn't all peaches and chocolate just yet. There is a still a ways to go before these APIs are reliably useful for converting conversational audio recorded in the wild using mobile phones amidst the usual ambient sounds. Nonetheless, the results are tantalizingly good enough and the pricing dramatically low enough that the time has come to dip my metaphorical toes in the water.
I intend to write more about my experiences using these powerful cloud APIs, so stay tuned if this is of interest to you. Although I myself tend to cringe when the blogger ends their post by promising an enticing followup, which invariably never comes. But I really do sincerely intend to write more on this. Of course, that's what they would all say, I'm sure.
I have already compiled a backlog of interesting results just waiting to be converted into intriguing visuals and wrapped in witty yet insightful prose. Promise.
Actually you don't need to wait until then, as here is some additional background on the project. Here are the results of a preliminary comparison between IBM and Google. Here are results made over reference documents. And here are some results made over audio collected in the wild. There are several conclusions that can be drawn from these findings, which will be the subject of a future post.
In closing, my findings indicate to me that I should be able to extract useful text from my recordings, albeit probably not for the purpose of transcribing meeting minutes. The transcript text generated by the cloud API is largely recognizable to me, although that is often in the same way as my handwriting is recognizable to me because I vaguely remember generating it. The error rates are still too high for these transcripts to allow me to reliably parse meaningful whole sentences much less serve as document of record.
These cloud APIs do not have the same quality as do personalized devices. Voicemail transcripts provided by my phone are subjectively better than what I'm seeing with these cloud APIs. One reason is that because the cloud APIs cannot be trained on my voice, although IBM does allow specifying a custom language model.
The accuracy being provided by the cloud APIs may be suitable for indexing audio files to make them more easily searchable (although phonemes might turn out to be the better data unit for indexing audio than words, e.g., Deepgram). I fully expect the current results to be adequately informative to support meaningful textmining and trend analysis.
Upon reviewing the current batch of results it is fascinating to me how a badly transcribed sequence of just a few words in a row can turn large swaths of text into complete gibberish. If you tell a linguist you intend to recognize speech they might bid you luck, but an evesdropping surfer taking that to mean instead that you intend to wreck a nice beach might wish you harm.
We humans are pretty amazing in our ability to understand each other's muffled speech despite the poor connection and background noise much less the tinnitus and what have you.
Nonetheless, I foresee a not too distant future where it will be possible to cheaply attain human level accuracy transcription of speaker-independent long-form speech from noisy recordings obtained using mobile devices. Culminating in, as Wired's Jesse Jarnow puts it, 'bizarre kinds of unforeseen societal change'.
Until then, court stenographers shouldn't have much to worry about.


I'm a Software Engineer and MSc student who is interested in using Machine Learning solutions to
make great products. Beside my professional work, I am very passionate about teaching. If you are
curious about learning Python, ML and Data Science, check out my YouTube channel from here:
youtube.com/c/mohammedashour1994
Education
- MSc. Of Computer Engineering (Focused on ML/DL)
Faculty of Engineering - CSE Department,
Arab Academy For Science and Technology (2019 - Current)
- Machine Learning Nanodegree - Udacity (Sept 2019 - Jan 2020)
Certificate: https://confirm.udacity.com/7TMG9N7C
Developing Machine learning models using AWS SageMaker and ML packages like Tensorflow and Keras
- BSc. of Faculty of Engineering - CSE department,
Mansoura university (2012 - 2017)
Graduation Project: Analyzing multiple feelings in tweets using deep learning
Role: Machine Learning team leader
Description: Building the Neural network model to extract the mixed feelings from the tweets
Project grade: Excellent
Intersts
- Reading
- Anime
- Cosmology
- Philosophy
- Chemistry
Experience
- CS Specialized Officer [Air Forces]
(Oct 2018 - Oct 2020)
Developing and maintain software systems for many departments across the Air Forces Using
Technologies like C# and Oracle databases
- Software Engineer at Elements Financial Technologies
(Aug 2017 - Mar 2018)
Developing a Payment Gateway as a service for providing online payments for small/midlevel/big businesses
- Freelancer Python Developer
(from 24th of July to 31 August 2016)
- Making scrapping tools using selenium
- Making a ML Models using Python and Keras
- Summer Internship at CodeScalers Company
(from 24th of July to 31 August 2016)
trained to develop solutions using various technologies like flask, angular2, docker and a lot of basic concepts in software engineering field
BUZZWORDS
I can write
- Python - JS - SQL
Currently, I’m learning
- Golang
I worked with
- Flask - MongoDB - GIT - Docker - Tensorflow - Keras - PyTorch - Numpy - Matplotlib
I have a good understanding of concepts like
- Machine Learning & Neural Networks - OOP - Algorithms & Data structure - APIs - Test-Driven
Development (TDD) - Behavior Driven Development (BDD) - Microservices
Extra Courses
Projects
check my
Github Account
Activities
- (Apr 2016 - present): Making YouTube technical videos
- (Feb 2014 - present): Member at CAT Reloaded Team (Local IT Community)
- (Jan 2014 – June 2014):Volunteer at IEEE Mansoura Student Branch (Local Community)
- (Oct 2013 – June 2015):Team Leader at I-Learn Team (Local IT Community)
Languages
Arabic - mother tongue -
English - fluent -


GConf-3.2.6
Installation of GConf
Install GConf by running the
following commands:
./configure --prefix=/usr \
--sysconfdir=/etc \
--disable-orbit \
--disable-static &&
make
This package does not come with a test suite.
Now, as the root
user:
make install &&
ln -s gconf.xml.defaults /etc/gconf/gconf.xml.system
Command Explanations
--disable-orbit
: This
switch is required if ORBit2 is
not installed. ORBit2 is a
deprecated package.
--disable-static
: This
switch prevents installation of static versions of the libraries.
Contents
Installed Programs:
gconf-merge-tree, gconftool-2,
gsettings-data-convert and gsettings-schema-convert
Installed Libraries:
libgconf-2.so and
libgsettingsgconfbackend.so (GIO Module installed in
/usr/lib/gio/modules
)
Installed Directories:
/etc/gconf, /usr/include/gconf,
/usr/lib/GConf, /usr/share/gtk-doc/html/gconf and
/usr/share/sgml/gconf
Short Descriptions
|
gconf-merge-tree
|
merges an XML filesystem hierarchy.
|
|
gconftool-2
|
is a command line tool used for manipulating the
GConf database.
|
|
gsettings-data-convert
|
reads values out of the users GConf database and stores them in
GSettings.
|
|
gsettings-schemas-convert
|
converts between GConf
and GSettings schema file formats.
|
|
libgconf-2.so
|
provides the functions necessary to maintain the
configuration database.
|
Last updated on 2020-02-17 18:27:03 -0800


Welcome to the Test Selection Tool
This is the ISTA test selection tool. This web based system allows ISTA members and non-members to determine an appropriate test protocol(s) for testing their packaged-product and serves as a conduit for contacting ISTA certified testing laboratories who can perform the testing.
Find your test protocol
Hover over the test protocols to see a brief overview.
Create a test request
Enter the details and information related to your package.
Send test request to lab
Find a lab near to you and then send your test.


Frances Loretta Silva Blayney
Democrat
Software Developer: self-employed Owner of WaterDrop,LLC (2018-current) Election Judge: El Paso County (2016-2018) Writer: self-employed FCS Consultants (2012-2018) Co-founder: LifeQuest Transitions (2009-2011) Family Law Paralegal: Law Offices of Vincent Rahaman (2002-2008)
M.A. Public Administration (University of Colorado at Colorado Springs); B.A. Political Science (University of Texas at El Paso); certificates in Local Government; National Security Intelligence; Non-profit Organization Management
80919
I am an active member of several conservation/environmental organizations. I have organized grassroots campaigns around safe drinking water, healthy watersheds, and social justice. I organized a campaign in Colorado to ban toxic fire-fighting foam (AFFF) from entering our waterways. I am an advocate for underrepresented communities, in particular the Asian-American community. As the daughter of immigrants, I am an advocate and have campaigned for underrepresented individuals to have a voice in policy-making and in spaces where decisions are being made.
Door knocking and phone calling for: President Obama (2015); Donated to the campaigns of Elizabeth Warren (2020), Alexandria Ocasio-Cortez (2020), Diane Mitsch-Bush (2020).
Colorado Parent Teacher Association(Vice President local school group); Trout Unlimited (member/volunteer); National Resource Defense Council (member); Fountain Creek Water Sentinels (Board Member/Chair); Colorado Sierra Club (Board Member/Chair); Pikes Peak Trout Unlimited (member/volunteer); Colorado River Watch (volunteer); Pikes Peak Women Angler's (member); Great Old Broads for the Wilderness (member/volunteer); LifeQuestTransitions (co-founder/board member); Northridge Pacer Track Club (board member); International Music Syndicate (board member).
I represent a somewhat unique segment of the population in Colorado. As a first-generation American, I am aware of the privilege of voting and how important a fair and just process is to ensure that the principles of democracy are upheld. I see service on the commission as part of my civic duty.
Starting as a Girl Scout member in kindergarten, I was taught that being a citizen required participation and vigilance. In my lifetime, I have served on several executive boards in various capacities. As part of my executive board member duties, I have been entrusted to execute and carry out, in good faith, the mission of an organization. I have been elected by my peers to positions of authority and most recently served as Chair of the Colorado Sierra Club. I am fair and impartial with regards to the carrying out of by-laws and seeing that compliance issues are adhered to. While I am an advocate, I am also able to see all sides of an issue and have often mediated difficult conversations and situations. As a board member and volunteer for several organizations, I have worked with people from all different backgrounds who have different priorities.
I worked for a Family Law attorney for many years. I learned to write motions and create arguments that would hold up in court. Despite my environmental and conservationist leanings, I work towards just and fair solutions to issues. As a software developer, I often see the linear answer to a problem, but as a human I understand that there are explicit and implicit biases that require awareness and attention. As a community organizer, I have had to approach issues with a clear intention and strategy from beginning to end. Often, flexibility has been necessary as situations evolve and being able to adapt and analyze new information is crucial. I have been able to break down complex issues (i.e. the fire fighting foam (AFFF contamination issue)) to levels of understanding that ordinary people can comprehend. This actually takes skill and a deep understanding of how to get from point A to point B in a logical and concise manner.
female


MULTI 2021
The 8th International Workshop on Multi-Level Modelling
MODELS 2021 - Fully virtual
October 12, 2021 (Tuesday)
Workshop date: October 12, 2021 (Tuesday) 10:00 - 13:00 and 16:00 - 19:00 (CET)
The yearly MULTI workshop is the premier event for researchers and practitioners working on multilevel modelling and multilevel software development.
Together with the Models Conference, MULTI 2021 will be fully virtual and will accommodate remote participation and presentation. All accepted papers presented online will be published by IEEE.
Multilevel language architectures represent a new object-oriented paradigm both for conceptual modelling and software engineering. In contrast to conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster reuse and adaptability. While multilevel languages and tools have reached a considerable maturity, the field still offers numerous challenges. The MULTI workshop series is dedicated to bring together experts who develop and apply multilevel language technologies as well as those who focus on specific analysis and design methods or on economic aspects of this new paradigm.
Multilevel modelling is an emerging new modelling paradigm that offers exciting new perspectives not only for conceptual modelling, but also for the development of software systems that are integrated with models of themselves. Multilevel DSMLs allow for combining the benefits of economies of scale with the productivity enabled by concepts that were designed for very specific domains. Multilevel modelling has been used successfully in a wide range of projects.
The MULTI series is aimed at providing a platform for exchanging ideas and promoting the further development of multilevel languages, methods and tools. In particular, the goal is to encourage the community to delineate different approaches to multilevel modelling and define objective ways to evaluate their respective strengths and weaknesses.
Three kinds of papers are solicited: regular papers (10 pages), challenge papers (10 pages), and position papers (5 pages).
Topics for regular and position papers include, but are not limited to:
Authors submit their papers as PDF files via Easychair. Submissions must adhere to the IEEE formatting instructions. Challenge papers (see Challenge paper description) must be subtitled “A contribution to the MULTI Collaborative Comparison Challenge”. Accepted papers will be included in the joint workshop proceedings published by the IEEE.
Multi-level modeling addresses the modeling of subject domains that benefit from an explicit recognition of multiple levels of domain representation, such as software development, process modeling, capturing organizational roles, biological taxonomies, product hierarchies, and so on. Over the span of two decades many approaches for multi-level modeling have been proposed, all sharing the goal of extending traditional two-level approaches with constructs and concepts that naturally support multiple levels of domain representation, with the goal to increase model expressiveness while simultaneously reducing model complexity.
Numerous advances in multi-level modeling approaches and tools have, however, lead to a proliferation of available approaches, thus displaying a lack of consensus on what kinds of constructs and concepts provide the best support for multi-level modeling. In part, differences are owed to different application targets or different prioritizations of desirable model properties, yet not all existing differences can necessarily be motivated in this manner. Some differences at both foundational and realization levels may be perfectly justifiable while others may be reconcilable without diminishing effects.
The Collaborative Comparison Challenge aims towards increasing communication between multi-level modeling researchers by encouraging collaborations which may justify and thus clarify the need for existing differences, or, alternatively, lead towards homogenizing multi-level modeling. Previous challenges (the 2017 Bicycle Challenge and the 2019 Process Challenge) already invited researchers to demonstrate their approaches by addressing a set of requirements in a given domain and thus represented essential first steps towards the benchmarking of various approaches.
However, since these challenges only focused on a single approach respectively and did not specifically encourage the contrasting of approaches beyond regular related work discussions, their value in contrasting approaches and fostering a dialogue between researchers was limited. For this reason, the Collaborative Comparison Challenge specifically requires the application of two or more approaches to one domain example and mandates the discussion of commonalities and differences between the approaches in a joint paper authored by proponents of different multi-level modeling approaches. Commonalities and differences should be discussed as they manifest themselves in the treatment of the domain example but also at a more general level. Respective discussion subjects which authors may choose to elaborate on include, but are not limited to, fundamental concepts such as the nature of levels, cross-level relationships, classification vs generalization, deep characterization, the treatment of attributes and operations, and the use of structural and behavioral constraints. Discussions should seek to explore justifications for, and/or potential reconciliations of, fundamental differences rather than surface-level realization choices. An optional avenue towards contributing to the clarification of differences is the formalization of foundational concepts, thereby possibly discovering open questions and/or potential for unification.
All submission requirements and the domain example to use are available from the detailed MULTI 2021 challenge description.
Victorio Albani Carvalho
Federal Institute of Espírito Santo (IFES), Brazil
Gergely Mezei
Budapest University of Technology and Economics, Hungary
Bernd Neumayr
Johannes Kepler University Linz, Austria


Invalid username and password.
You have been logged out.
Account created! Please login.
Create new account