BCT, an acronym that stands for Behavior Capture and Test, is a dynamic analysis toolset built to support software developers in diagnosing faults and identifying components incompatibilities.
BCT works in four phases:
In the first phase (Capture Behavior), software developers execute the test cases of their applications. They can execute any kind of test: unit, integration, or system. During tests execution BCT monitor the software components and capture information about their interactions. BCT records both sequences of inter-component method invocations and data exchanged between components.
In the second phase (Derive Models), BCT generates models that summarize and generalize the observed executions. In particular, BCT uses Daikon to generate properties about the exchanged data and kBehavior to generate finite state automata (FSA) that represent component interactions. For instance, if we monitor invocations of method addItem(Item it, int qt), we can automatically generate the property qt>0 that indicates a positive value for the quantity. Similarly, if we monitor the use of a library for accessing files, we can automatically generate an automaton that indicates that files are first open, then read several times and finally closed.
In the third phase (Detect Anomalies), BCT is used to monitor new executions. Developers can use BCT to monitor new executions in two different situations: when an execution of the software causes a failure, when a new configuration of teh softwrae is tested. In the first case BCT helps software developers in identifying faults, in the second case it permits to identify components incompatibilities. BCT compares the events generated during the monitored execution with the inferred models. Checking can take place either in-the-field, while the system is under use, or in-house, when a failing execution is replicated to debug a failure. Events that violate models, i.e., data values that violate properties and sequence of method invocations that are not accepted by FSA, are collected as anomalous events that deserve further investigations.In the fourth phase (Analyze Anomalies), the detected anomalous events are filtered, aggregated and presented with suitable views to help developers in understanding the underlying problems.
BCT has been implemented as an Eclipse plugin that provides also a standalone library that permits to use BCT without Eclipse.
The BCT technique has been described in several research papers:
Leonardo Mariani and Fabrizio Pastore and Mauro Pezze. A Toolset for Automated Failure Analysis. proceedings of the International Conference on Software Engineering (ICSE) - formal tool Demo, 2009
Leonardo Mariani and Sofia Papagiannakis and Mauro Pezzè. Compatibility and Regression Testing of COTS-component-based Software. proceedings of the 29th International Conference on Software Engineering (ICSE 2007), 2007
L. Mariani and M. Pezzè. Dynamic Detection of COTS Components Incompatibility. IEEE Software, 2007
Davide Lorenzoli and Leonardo Mariani and Mauro Pezzè. Inferring state-based behavior models. ACM Press, 4th International Workshop on Dynamic Analysis (WODA 2006) co-located with the 28th International Conference on Software Engineering (ICSE 2006), 2006
Leonardo Mariani and Mauro Pezzè. Behavior Capture and Test: Automated Analysis of Component Integration. proceedings of the 10th IEEE International Conference on Engineering of Complex Computer Systems, 2005
Leonardo Mariani. Behavior Capture and Test: Dynamic Analysis of Component-Based Systems. 2005
Leonardo Mariani. Behavior Capture and Test for Verifying Evolving Component-Based Systems. IEEE Computer Society, proceedings of 26th International Conference on Software Engineering ICSE Doctoral Symposium, 2004
Leonardo Mariani and Mauro Pezzè. A Technique for Verifying Component-Based Software. Elsevier, proceedings of the International Workshop on Test and Analysis of Component Based Systems (TACoS) satellite workshop at the European Joint Conferences on Theory and Practice of Software (ETAPS), 2004
Leonardo Mariani and Mauro Pezzè and David Willmor. Generation of Selft-Test Components. Springer, proceedings of the 1st International Workshop on Integration of Testing Methodologies FORTE 2004 Workshops, 2004
Leonardo Mariani and Mauro Pezzè. Behavior Capture and Test for Controlling the Quality of Component-Based Integrated Systems. proceedings of Tool-Integration in System Development Workshop at the 9th European Software Engineering Conference and the 10th International Symposium on Foundations of Software Engineering (ESEC/FSE), 2003


Can a container contain a container?
Yes. In terms of a browser window you see this when a window contains frames.
The component classes that make up the AWT and Swing are related to each other by inheritance. When you learn new GUI components it is important to see how they relate to other components.
In Java,
there is a pre-defined class that is the ultimate ancestor of all other classes.
This class is called Object
.
Object
defines the basic nature of all Java objects.
Much of what goes on behind the scenes when a Java program is running
is defined by Object
.
So, for example a small part of the Java class hierarchy looks like this:
The "clouds" convey the idea that these are class
definitions, not objects.
The diagram shows that the classes Boolean
, Character
,
Component
, String
, and many others
have Object
as a direct ancestor.
The cloud for the Component
class is dotted
to show that it is an abstract class.


WHY US?
Have A Long History
Zunder Zifflin has been serving customers very well since 2002 and will continue to provide the best customer experience.
Care For The Environment
Zunder Zifflin uses environmentally friendly materials and technologies to produce high quality products.
Best Quality Guarantee
Zunder Zifflin provides quality assurance to its products by providing a 15 year warranty for all Zunder Zifflin products.
Superb Customer Service
Zunder Zifflin is well known for its customer service that is always on standby to assist you 24/7.
Have Many Awards
Zunder Zifflin has won over 500 honorable awards, which represent the quality of Zunder Zifflin's product.


Thinking Style and Learning
My Results:
Personal Thinking Style
Concrete Sequential (CS) 6x4 = 24
Abstract Sequential (AS) 11x4 = 44
Abstract Random (AR) 9x4 = 36
Concrete Random (CR) 4x4 = 16
Learning Preference
Visual: 12
Aural: 10
Read/Write: 7
Kinesthetic: 8
Q&A after some Research on my style:
How can understanding my style help me have an advantage at DBC?
I know that I like to understand why things work, but it is by far not a must. I know that I enjoy have reading references and expert sources, but quite often have to create these myself. I also know that relationships are very dear to me. I also know that I can go with the flow as well as be a stick in the mud at times.
I think that just recognizing my tendencies and seeing those pools of tendencies in others will really help me know how to interact with others, getting what we both need, while having empathy and appreciation for their processing.
I think it will also reduce stress to see myself through this lens and know that I behave differently than others. That this is okay and we all have something unique to contribute - seeing value in another person's approach.
Considering my experience in Phase 0 to this point:
What has been the biggest struggle for you?
So far I have struggled the most with the geography if you will of all of the new programs we are using. Certain programs seem intuitive and others I have to continually remind myself of where the Google Hangouts is located. These seem very small, but they ate up quite a bit of time at first.
Is it related to the way you think and learn or is it related to something else.
It is possibly related. A more random person might have the prior skills to pick these things up faster. They may be less bothered by them.
If it's related to your learning style, start thinking of strategies to help you.
I know that I have started to be more circular in my workflow. I tend to accomplish specific chunks of work all at once in their entirety. has become clear to me that placing each objective into subdivisions and looking at the time I have before a Peer-Pairing Session and seeing which subdivision is approachable has really increased my workflow/output and cut down on time.
Plan of action:
- I need to continue subdividing Objectives.
- I need to reach out to people more often (sometimes to ask questions, but really to build a team.).
- *I haven't reached out as much simply because I am occupied with accomplishing the tasks.
- However, I find that the interactions and input causes a big leap in my productivity.
- I need to continue honing my time management skills. I don't waste time by being lazy or procrastinating, but rather by thinking about an aspect of another/currently unrelated challenge in between moves.
- I need to focus more sharply on each Release, instead of seeing how they all relate to each, when they tend to simply build on each other.


Distributed
Interactive Simulation
IEEE Std 1278
Introduction
The Problem
Entity State PDU
Other PDUs
Networking
Heartbeat
Examples
Introduction
Distributed Interactive Simulation (DIS) is an open standards network
protocol used in military simulations. It can be used to set the
position, orientation, and speed of entities in a virtual world. It is
a peer-to-peer architecture, with no central server, and can be used
with multicast, UDP, and TCP network transports.
You can find open source implementations of DIS for Java and C++ at the
XMSF project,
hosted at sourceforge.net. There are actually more than one
implementations that have been developed over the years.
- DIS-XML is a Java language implementation that is capable of
reading and writing the information contained in the DIS protocol in an
XML format. It also reads and writes information in the IEEE standard
binary format.
- XML Multi-Language Protocol Generator (XMLPG) is a general
purpose tool that writes parallel Java and C++ protocol
implementations. As an example parts of the DIS protocol have been
implemented with this tool.
- DIS-Java is a conventional, hand-written implementation of DIS in
the Java language. It is unlikely to be further maintained.
Which one you choose to use depends on your needs. If you just want a
Java implementation, or want to archive to an XML representation
of DIS, DIS-XML is probably the way to go. If you want to use C++, or
both Java and C++, XMLPG's implementation of DIS should be your choice.
Both implementations use a BSD open source license.
The Problem
Suppose you have two computers, each of which controls a tank in a
virtual environment. You want to draw your own tank in the 3D world in
which it is placed; this is easy enough, since you know its position
and orientation. What you need is the information about the other tank.
This needs to be transmitted across the network, typically using
sockets of one sort or another. Likewise, you must send your own
information to the other entity so that simulator can draw your tank
accurately.
View from Computer 1
View from Computer 2
What information needs to be passed? The approach used in DIS is to
sent out a binary format packet containing nearly all the entity's
state information. This includes the entity's position, orientation,
and velocity, and information about what type of entity this is. This
is the most frequently used packet in DIS, accounting for well over 90%
of DIS's network traffic. It is called the Entity State Protocol Data
Unit (ESPDU).
Entity State Protocol Data
Unit
Periodically the software controlling an entity will send out an ESPDU.
In the example above, one computer is controlling a tank in an armored
platoon. The software on that computer will send out an ESPDU as often
as needed to keep the other computers in the overall simulation
informed about its location. All other computers in the simulation do
the same thing for entities under their control.
The basics of the ESPDU are reasonably straightforward. The paragraphs
below discuss the various major parts and how to use them.
The PDU header contains
information that is common to all PDUs, including non-ESPDUs.
This includes:
- IEEE DIS Protocol Version
- Exercise ID
- PDU Type ( = 1 for ESPDUs)
- Protocol Family (=1 for ESPDUs)
- Timestamp
- Length of PDU in bytes (typically 144 bytes)
The protocol version refers to the revision of the IEEE standard being
used. The 1998 revision of the DIS standard uses a version number of 6.
The exercise ID refers to an identifier for an exercise being conducted
on a network. For example, a one group on a network may be running a
simulation of tank combat in central Europe, while another group might
be conducting a simulation of naval warfare in the Persian Gulf. Each
exercise is given a unique identifer so the ESPDUs from one simulation
can be easily distinguished from ESPDUs from another.
DIS has over a hundred different types of PDUs in addition to the
ESPDU. Each type of PDU is given a unique identifier. The identifier
assigned to ESPDUs is 1.
The many PDUs defined in the standard are grouped into families of
related PDUs, such as electromagnetic warfare or logistics. The ESPDU
is in the "Entity Information/Interaction" family, and has an
identifier of 1.
Because ESPDUs very often use multicast or UDP as a network transport
it is possible that packets will arrive out of order or be duplicated.
The timestamp field is used to reduce the impact of these events. Often
client software will be configured to discard packets if the timestamp
precedes that of the last packet received from that entity. For
example, suppose a packet arrives for an entity with a timestamp value
of 42. Shortly afterwards, a packet for that entity arrives with a
timestamp of 41. Very often a client will assume that a problem has
occured in the transport layer, and that the more recently arrived
packet with a timestamp of 41 actually represents older data. It is
therefore discarded. The same assumption may be applied to packets with
the same timestamp as the previous packet--the software may assume that
the PDU is a duplicate and discard it.
The implications of this for the application programmer are important.
It means that if you send a stream of ESPDU updates, you must increase the timestamp field.
Otherwise, the receiving software is likely to discard every packet
after the first.
Officially, the timestamp represents the time at which the ESPDU was
generated. For most interactive virtual simulations this is
represented by UTC time. The units are 1.676 microseconds per tick, and
the least significant bit of the field should be set to 1 in order to
specify that absolute time is being used. In practice, so long as you
are working only with ESPDUs generated by you, it's simpler to just use
the Unix convention for time of seconds or milliseconds since January
1, 1970. This is the value returned by most system calls that determine
the time. In modern implementations this is a long, while the timestamp
field is a 4 byte integer, but you can simply take the lowest four
bytes, or do a cast, which will work until the year 2038. In a pinch
you can simply increase the timestamp by one every time you send a new
ESPDU, though this is much less reliable and does a lot more violence
to the standard.
The length is the length of
the PDU, in bytes. this is usually 144 bytes for an ESPDU, but you
should add 16 bytes to the length for every instance of Articulation
Parameter added to the PDU.
The EntityID is the next
major part of the ESPDU. Every update sent out is tied to a specific
entity in the world, so we need a unique identifier for every one of
those entities. This is what the Entity ID provides. The entity ID is a
triplet of three numbers, the site, application, and entity. Imagine a
large distributed simulation with sites at Fort Benning and Fort
Campbell. ESPDUs originating from each site would be assigned a site
ID. A single simulation might have several applications (a tank
simulator, a helicopter simulator) and each of those applications is
also assigned an identifier. Finally, within each application, the
application is responsible for handing out unique entity identifiers.
The combination of these thre--site, application, and entity--combines
to form a unique identifier for every entity in the virtual world.
Typically on arrival an ESPDU is examined and the entityID extracted.
Based on this information the new state information is sent to a
programming language object that represents that entity.
The Force ID represents the
"side" the entity is on. A value of 1 means the entity is friendly, 2
is opposinng, and 3 is neutral.
While a vehicle or entity may be placed in the world with the correct
orientation, there may be parts attached to the entity pointing in
different directions. A tank may have its turret rotated, and the gun
elevated. Articulation parameters are designed to handle this case.
They allow the programmer to specify the orientation of attached parts.
Since there may be a variable number of articulation parameters, the articulation parameter count field
provides a way to specify how many articulation parameters are included.
The Entity Type field is a
multi-value structure that defines exactly what an entity is. The
Entity Kind subfield identifies the entity in very broad terms--as a
life form, a platform, a munition, a cultural feature, a supply, a
radio emmission, etc. The domain
subfield identifies where an entity operates; typical values are
surface, subsurface, air, land, etc.) The country subfield identifies the
country to which the design of the entity is attributed. The US has an
enumerated value of 225, the UK one of 224, Turkey of 218, Greece of
82, Iran of 101, etc. The Category,
Subcategory, and Specific
subfield's interpretation depends on the preceding kind, domain, and
country fields. US equipment should have a kind value of 1 and a
country value of 225. Within that context, a category value of 1 means
tanks, a subcategory of 1 means an M1 Abrams, and a specific of 3 means
an M1A2 Abrams, a specific field value of 4 means an M1A1 with mine
rollers, etc. If the country code changes, to the UK for example, these
enumerated values may have completely different meanings in the context
of UK equipment, perhaps describing Challenger tanks rather than M1
tanks. The enumerated values for these fields is described in the
Institute for Simulation and Training document entitled Enumeration and Bit Encoding Values for
Use with Protocols for Distributed Interactive Simulation Applications.
The Alternative Entity Type
field of ESPDU contains the same information, but as it appears to
forces other than those of the issuing entity. This allows for some
degree of deception; an entity can claim that opposing forces should
see a M1A1 tank as an M1A2 tank, for example.
The Entity Linear Velocity field
describes the entities velocity in the form of a vector with three
values. Officially, the DIS standard specifies a coordinate system with
its origin at the earth's center, the Z-axis pointing up through the
north pole, the X-axis pointing out through the equator and prime
meridian, and the Y-axis pointing out at the 90 degree east meridian.
Many simulations simply use their own, arbitrary coordinate systems,
though.
The Entity Location field is
used to describe the entity's location in a 3-value vector of double
precision floating point values. As mentioned, the coordinate system is
offically located at the earth's center, but other coordinate systems
can be used.
The Entity Orientation field
describes the entity's rotation when located at a particular point in
space. The three values, psi, theta, and phi, describe the order and
axis about which the entity should be rotated, using units of radians.
First, the entity is rotated aroudn the z axis by psi; then, about the
y axis by theta; and finally around the x axis by phi. Note that the
order in which these rotations are performed is significant. Psi and
phi can vary from negative pi to pi randians, while theta can range
from +/- pi/2.
The Entity Appearance field
is a series of bit-flags that help software accurately draw the entity.
The 0th bit position, for example, specifies whether the vehicle should
be drawn with a uniform color or with camouflage. Bit positions 5-6
specify whether and how much the entity is smoking.
Dead Reckoning Parameters
provide the system with information to fill in the gaps between
arrivals of entity state PDUs. One of the subfields is the dead reckoning algorithm field,
which specifies what system is to be used. A value of 1 means no dead
reckoning should be performed; a value of 2 means that only velocity
should be used for dead reckoning; a value of 5 means that both
velocity and acceleration should be used. The Other parameters field
allows 120 bits of specialized dead reckoning data to be passed. The linear and angular velocity subfields provide
more information for the dead reckoning implementation.
Entity Marking allows a few
characters to be sent along with the PDU. This can be useful for
debugging, or for drawing a unit number or vehicle number on an entity.
The capabilties field is
another series of bit-flags, mostly used for logistics simulations.
The articulation parameters are a variable length list. The list length
is defined by the articulation parameter count field. As mentioned, the
articulation parameters allow the user to describe the orientation of
parts attached to the entity, such as turrets or gun elevations.
Other PDUs
The ESPDU accounts for, typically, over 95% of the PDU traffic. There
are other PDUs, however, including those that simulation logistics or
electronic warfare.
Networking
Any network transport can be used to send DIS packets. On older
simulations hosted on a single machine even things like shared memory
have been used to send PDUs. But today most DIS PDU traffic goes across
the network.
On a single LAN or within a single campus it is typical to use
multicast, and place one PDU inside of each multicast packet. At NPS we
have a habit of using multicast group <IP_ADDRESS> on port 62040. The
multicast group should typically be in the 239.x.x.x range; this is
defined as a site-local multicast group and is not routed off the local
site. If you must cross a router, be sure that the Time to Live value
in the network packet is set to an appropriate number of hops. To cross
a router it should be set to at least two when sent.
Multicast is not usually available on the big internet. In that
situation you can use unicast UDP. This is inherently less efficient,
since you must send an individual ESPDU update packet to each host in
the simulation.
You can also use TCP sockets. However, this is not a prefered solution
for interactive systems. TCP, if it drops a packet, will resend data,
and may have pathological behavior in the face of unreliable networks.
If you're adventurous you can use DIS-XML to place DIS packets into XML
format and send DIS packets across an XMPP (chat) backbone.
Heartbeat
Because DIS is a peer-to-peer system, there is no one place a host that
has just joined the system can go to get a list of all the participants
in a simulation. Instead, a new host simply listens for ESPDU packets,
and builds up its knowledge of the world via the ESPDUs it receives.
However, if an enitity sends out no PDUs, it cannot be discovered. To
solve this problem an entity is required to send out an ESPDU at least
once every five seconds, whether it moves or "needs" to or not.
Examples
Some example code using different DIS APIs follows.
First of all, DIS-XML, a Java API. This example that moves an entity
with an ID of (0,1,2) along the X-axis.
import
org.web3d.xmsf.dis.*;
import
org.web3d.xmsf.disutil.*;
import
java.io.*;
import
java.math.*;
import
java.net.*;
import
java.util.*;
/**
* The
objective here is to be as simply as possible generate DIS entity state
PDUs with
*
minimally interesting behavior, and send them out on the network. As
such a lot of
* stuff
is stripped out.

*
* This
generates entity state PDUs (espdus) that drives an entity along the
x-axis, with
* some
orientation changes.

*
*
@author DMcG
*/
public class
SimpleDriver extends Object
{
public static void main(String args[])
{
EntityStatePduType espdu;
MulticastSocket socket;
InetAddress address;
DatagramPacket packet; // The
UDP/Multicast packet we will send
byte
buffer[]; // Holds binary format DIS packet
try
{
// The PduFactory is where we go to get new instances of PDUs; it works
as
// something like a constructor in that it initializes the PDUs.
PduFactory pduFactory = new PduFactory();
// The DisMarshaller is responsible for converting a Java DIS object
into
// DIS-compliant binary format.
DisMarshaller disMarshaller = new DisMarshaller();
// Create a new entity state PDU. this will be re-used below, with only
// some values changed. We set the ID for this to be (0,1,2), the unique
// identifer in the DIS world of that entity.
espdu = pduFactory.getEntityStatePdu();
EntityIDType id = espdu.getEntityID();
id.setSite(0);
id.setApplication(1);
id.setEntity(2);
// Create a new multicast socket to send data
socket = new MulticastSocket(1234);
socket.joinGroup(InetAddress.getByName("<IP_ADDRESS>"));
// loop forever, moving the entity along the x-axis and rotating it.
while(true)
{
// Move along the x-axis, left to right, in 100 steps.
for(int idx = -50; idx < 50 ; idx++)
{
Vector3Double location = espdu.getEntityLocation();
// update location
location.setX((double)idx);
location.setY(0.0);
location.setZ(0.0);
// Modify the enity orientation. The units are in radians
EulerAnglesType eulers = espdu.getEntityOrientation();
eulers.setPhi((float)((float)idx / 6.0));
// This updates the timestamp to make it current. Since UDP and
multicast may
// deliver packets out of order, this is a safety measure that allows
us to throw
// away packets older than what we've already received. This is actually
// non-DIS-compliant; the packet expects to be set to the wall clock
time.
// However, the xj3d browser (and many others) are only checking that
the
// timestamp is monotonically increasing; it throws away packets that
have
// lower timestamps than have already been processed.
espdu.getPduHeader().setTimestamp(idx);
// Set the PDU length
espdu.getPduHeader().setLength((short)144);
// There are a lot of other things we can (and should!) set here,
including
// the entity type. But this is OK for an example.
// Marshall the Java DIS object to DIS binary format. This updates the
timestamp
// automatically; to do without this use marshallPdu().
buffer = disMarshaller.marshallPduToSend(espdu);
// And create a UDP packet sent to the node specified in the .x3dv file.
packet = new DatagramPacket(buffer, buffer.length,
InetAddress.getByName("<IP_ADDRESS>"),
62040);
// And finally send it.
socket.send(packet);
// It moves right along without this. Sleep for 30 ms to slow things
down.
Thread.sleep(75);
}
//Thread.sleep(2000);
}
}
catch(Exception e)
{
System.out.println(e);
}
}
}
The next example uses the code generated by XMLPG. This API does not
read or write XML.
import
java.io.*;
import
java.net.*;
import
java.util.*;
import
edu.nps.moves.dis.*;
/**
*
Creates and sends ESPDUs generated by the XML file.
*
*
@author DMcG
*/
public class
EspduSender
{
public static final String MULTICAST_GROUP="<IP_ADDRESS>";
public static final int PORT = 62040;
public static
void main(String args[])
{
EntityStatePdu espdu = new EntityStatePdu();
MulticastSocket socket;
InetAddress address;
espdu.setProtocolVersion((short)6);
espdu.setExerciseID((short)0);
espdu.setPduType((short)1);
espdu.setProtocolFamily((short)1);
espdu.setLength(144);
// The EID is the unique identifier for objects in the world. This
// EID should match up with the ID for the object specified in the
// VMRL/x3d world.
EntityID eid = espdu.getEntityID();
eid.setSite(0);
eid.setApplication(1);
eid.setEntity(2);
try
{
socket = new MulticastSocket(PORT);
address = InetAddress.getByName(MULTICAST_GROUP);
socket.joinGroup(address);
while(true)
{
for(int idx = 0; idx < 100; idx++)
{
// The timestamp should be monotonically increasing. Many
implementations
// discard packets that have earlier timestamps (assumption is that it
// arrived out of order) or non-increasing timestamp (dupe packet).
long timestamp = espdu.getTimestamp();
timestamp++;
espdu.setTimestamp(timestamp);
// Modify the x-axis position of the object
Vector3Double location = espdu.getEntityLocation();
location.setX(idx);
location.setY(idx);
// Do some rotation to make sure that works
Orientation orientation = espdu.getEntityOrientation();
float psi = orientation.getPsi();
psi = psi + idx;
orientation.setPsi(psi);
orientation.setTheta((float)(orientation.getTheta() + idx /2.0));
// Marshal out the object to a byte array, then send a datagram
// packet with that data in it.
ByteArrayOutputStream baos = new ByteArrayOutputStream();
DataOutputStream dos = new DataOutputStream(baos);
espdu.marshal(dos);
byte[] data = baos.toByteArray();
DatagramPacket packet = new DatagramPacket(data, data.length, address,
PORT);
socket.send(packet);
Thread.sleep(1000);
System.out.println("Moving espdu");
}
}
}
catch(Exception e)
{
System.out.println(e);
}
}
}
In both cases the procedure is relatviely straightforward: create a new
object, set the fields, then marshal it out to a byte array and put it
into a datagram packet.
The C++ code for receiving DIS from te network with the XMLPG-generated
API is as follows:
#include
<DIS/IncomingMessage.h>
#include
<DIS/IPacketProcessor.h>
#include
<DIS/Pdu.h>
#include
<DIS/DataStream.h>
#include
<iostream>
using
namespace DIS;
IncomingMessage::IncomingMessage()
{
}
IncomingMessage::~IncomingMessage()
{
}
void
IncomingMessage::Process(const char* buf, unsigned int size, Endian e)
{
if( size < 1 )
{
return;
}
// assumes the location in the buffer is the packet id.
PacketProcessorContainer::iterator iter = _processors.find( buf[2] );
if( iter != _processors.end() )
{
DataStream ds( e );
ds.SetBuffer( buf , size , e );
Pdu* pdu = _factory.CreatePacket( buf[2] );
pdu->unmarshal( ds );
(iter->second)->Process( *pdu );
delete pdu;
}
else
{
std::cerr << "no registered processor for id = " << buf[0]
<< std::endl;
}
}
///\warning
erases any processor registered for the id
bool
IncomingMessage::RemoveProcessor(char id, const IPacketProcessor* pp)
{
return _processors.erase( id );
}
IncomingMessage::PacketProcessorContainer&
IncomingMessage::GetProcessors()
{
return _processors;
}
const
IncomingMessage::PacketProcessorContainer&
IncomingMessage::GetProcessors() const
{
return _processors;
}
PacketFactory&
IncomingMessage::GetFactory()
{
return _factory;
}
const
PacketFactory& IncomingMessage::GetFactory() const
{
return _factory;
}


{{title}}
{{{description}}}
{{source.name}}
{{target.name}}
{{#each characteristics_mental as |item i|}}
{{/each}} {{#each characteristics_physical as |item i|}}
{{/each}}
{{#each characteristics_mental as |item i|}}
{{/each}} {{#each characteristics_physical as |item i|}}
{{/each}}
{{#each status as |item i|}}
{{/each}}
{{#each status as |item i|}}
{{/each}}
{{#each secondaryAttributes as |item i|}}
{{/each}}
{{#each secondaryAttributes as |item i|}}
{{/each}}


Technical Specifications for Sketchr
Necessary Functionality
- Indicate North
- Object labeling
- Automatic numbers for involved vehicles?
- Street names
- JSON data model
- Local HTML/JS code for webviews
- Camera
- Send functionality
- Delete/undo
Objects to include (in increasing order of placement priority)
- Roads
- Involved vehicles (red)
- Uninvolved vehicles (grey)
- Road signs
- Obstacles
- Stoplights
- Motion paths
- Name and number labels
Additional Functionality
- Step-by-step wizard
- Accomodate irregular roads
- Grid-like placement?
- Preset intersections?
- Free form paths
- MongoDB implementation
- Saves of JSON and pictures
- Stores geographic metadata that can be queried for
Selling Points (why we're better)
- Mobile apps for the field
- Cross platform
- No internet requirement (RESTful--JSON HTTP POST)
- OOP enables simple and effective JSON
- Additional utility--camera, GPS, voice
- Reconstruction from JSON
- MongoDB GeoJSON Objects allow geospatial indexes and queries


Content Security Policy Meta Tag
Text
Hackable Text
Render
Check me out
Click Me!
Resources
Bootstrap Forms
Bootswatch
Bootswatch CDN


Blockchain development is in its very early stages right now, so programmers are creating applications and solutions that just do-the-job-for-now. That is to say, some of these things won't be around forever, and they're just acting as a stop-gap until the community figures out what to do next.
Metamask is one of these solutions, a bridge between where we are now, and where we want to be in a few years.
When you go to a website that is connected to a blockchain, the website expects every user to also be connected to the blockchain. Most internet browsers (like Chrome or Firefox) do not have any built-in blockchain capabilities yet, but this will likely change in the future. In order to bridge this gap, users need to install Metamask, a browser extension that allows the browser to communicate with the blockchain.
Another thing that Metamask can do is act as a crypto-wallet (a digital wallet that holds your cryptocurrency). This is handy since it removes the need to install complicated desktop wallet software.


Quantum circuit simulation is a crucial approach for helping scientists to develop quantum algorithm, and help students learn how to program with a quantum computer.


Ok, stuff is getting a little bit clearer, and more scary. First of all, John has linked to an XLS file of Google’s financials done by Corey Johnson.
A very interesting bit came up in the comments to his post though. Saul Hansell pointed the following bit out from the S-1 filing:
The Company’s net revenues and cost of revenues would both have been $91.7 million and $504.0 million and $69.7 million and $262.6 million higher in 2002 and 2003, and in the three months ended March 31, 2003 and 2004, if these AdSense agreements had been accounted for on a gross basis. There were no AdSense agreements in 2001.
This means that google is reporting only the revenues available to them, not those paid out to others. Now this got me thinking a little bit. As I just furled, there is some discussion about revenue shares from AdSense which might be in the high 70% for the partners.
Let’s look at the numbers above again. But first lets look at something else.
We provide advertising, web search and other services to members of our Google Network. The net revenues generated from the fees advertisers pay us when users click on ads that we have delivered to our Google Network membersâ€™ web sites represented approximately 15% of our net revenues in 2003, and approximately 21% of our net revenues for the three months ended March 31, 2004, and we expect this percentage to increase in the future.
Let’s take the March 31, 2004 numbers. Of the net revenues 21% came from partners. 95% of their revenues were from advertising. That’s about $370 Million. 21% of that is from AdSense partners. This means $292 Million comes from Google’s own sites. That’s $78 Million. As stated above by Saul, to get real revenues we need to add back $263 Million. That’s a total via AdSense of $341 Million.
This gives us totally different numbers: 1. Google Pockets roughly 23% of their revenue via AdSense, payout out 77% to partners. I presume that some of the big ones get more than that and the normal AdSense pulls that down a bit again. 2. 54% of Google’s Revenue come from AdSense. This really means that 54% of the power that Advertisers pay for, currently comes in via AdSense. This is likely to grow. 3. 41% of their revenue is paid out to partners. And with the above revenue share, this will grow, presumeing AdSense growths faster than Google sites.
Some very interesting numbers I have to say.


View Content Package
Once all content has been added to the main organization, you are ready to preview the content package in a web browser.
- Click the 'Preview Content Package' icon on the main toolbar, or click the same item on the View menu. A web browser should open on your computer.
- In the browser, a two frame page will load, the left frame will correspond to the structure of content package you have defined, the right pane will initially be empty.
- In the left pane, the top line represents the package name. Beneath the title, the first organisation is shown, with its' title in black and the content in that organization in blue. Clicking on any of the blue links will load the corresponding content into the main frame.
Your previewed content package should resemble that shown below.
If you wish, add further organizations (you can reuse the same content) and observe how the structure of the previewed Content Package corresponds to the Organization/Item structure you have created.


import graphing
import helper
import logging
import os
run(message, bot): This is the main function used to implement the budget feature. It takes 2 arguments for processing - message which is the message from the user, and bot which is the telegram bot object from the main code.py function. Depending on whether the user has configured an overall budget or a category-wise budget, this functions checks for either case using the helper module’s isOverallBudgetAvailable and isCategoryBudgetAvailable functions and passes control on the respective functions(listed below). If there is no budget configured an exception is raised and the user is given a message indicating that there is no budget configured.
def run(message, bot):
try:
print("here")
chat_id = message.chat.id
if helper.isOverallBudgetAvailable(chat_id):
display_overall_budget(message, bot)
elif helper.isCategoryBudgetAvailable(chat_id):
display_category_budget(message, bot)
else:
raise Exception('Budget does not exist. Use ' + helper.getBudgetOptions()
['update'] + ' option to add/update the budget')
except Exception as e:
helper.throw_exception(e, message, bot, logging)
display_overall_budget(message, bot): It takes 2 arguments for processing - message which is the message from the user, and bot which is the telegram bot object from the run(message, bot): in the same file. It gets the budget for the user based on their chat ID using the helper module and returns the same through the bot to the Telegram UI.
def display_overall_budget(message, bot):
chat_id = message.chat.id
data = helper.getOverallBudget(chat_id)
bot.send_message(chat_id, 'Overall Budget: $' + data)
display_category_budget(message, bot): It takes 2 arguments for processing - message which is the message from the user, and bot which is the telegram bot object from the run(message, bot): in the same file. It gets the category-wise budget for the user based on their chat ID using the helper module.It then processes it into a string format suitable for display, and returns the same through the bot to the Telegram UI.
def display_category_budget(message, bot):
chat_id = message.chat.id
data = helper.getCategoryBudget(chat_id)
graphing.viewBudget(data)
bot.send_photo(chat_id, photo=open('budget.png', 'rb'))
os.remove('budget.png')


Taken from Advanced Bash-Scripting Guide: Chapter 10. Manipulating Variables
${string%.}
${string#.}
${#string}


lzip
Lzip is a lossless data compressor with a user interface similar to `gzip` or `bzip2`.
Lzip uses a simplified form of the "Lempel-Ziv-Markovchain-Algorithm"z (LZMA) stream format and provides a 3 factor integrity checking to maximize interoperability and optimize safety.
More information: home page
- Archive a file, replacing it with with a compressed version:
lzip path/to/file
- Archive a file, keeping the input file:
lzip -k path/to/file
- Archive a file with the best compression (level=9):
lzip -k path/to/file --best
- Archive a file at the fastest speed (level=0):
lzip -k path/to/file --fast
- Test the integrity of compressed file:
lzip --test path/to/archive.lz
- Decompress a file, replacing it with the original uncompressed version:
lzip -d path/to/archive.lz
- Decompress a file, keeping the archive:
lzip -d -k path/to/archive.lz
- List files which are in an archive and show compression stats:
lzip --list path/to/archive.lz


# Authors: Lukas Gemein<EMAIL_ADDRESS># Robin Schirrmeister<EMAIL_ADDRESS>#
# License: BSD (3-clause)
import numpy as np
import pandas as pd
import mne
from .base import BaseDataset, BaseConcatDataset, WindowsDataset
[docs]def create_from_mne_raw(
raws, trial_start_offset_samples, trial_stop_offset_samples,
window_size_samples, window_stride_samples, drop_last_window,
descriptions=None, mapping=None, preload=False, drop_bad_windows=True,
accepted_bads_ratio=0.0):
"""Create WindowsDatasets from mne.RawArrays
Parameters
----------
raws: array-like
list of mne.RawArrays
trial_start_offset_samples: int
start offset from original trial onsets in samples
trial_stop_offset_samples: int
stop offset from original trial stop in samples
window_size_samples: int
window size
window_stride_samples: int
stride between windows
drop_last_window: bool
whether or not have a last overlapping window, when
windows do not equally divide the continuous signal
descriptions: array-like
list of dicts or pandas.Series with additional information about the raws
mapping: dict(str: int)
mapping from event description to target value
preload: bool
if True, preload the data of the Epochs objects.
drop_bad_windows: bool
If True, call `.drop_bad()` on the resulting mne.Epochs object. This
step allows identifying e.g., windows that fall outside of the
continuous recording. It is suggested to run this step here as otherwise
the BaseConcatDataset has to be updated as well.
accepted_bads_ratio: float, optional
Acceptable proportion of trials withinconsistent length in a raw. If
the number of trials whose length is exceeded by the window size is
smaller than this, then only the corresponding trials are dropped, but
the computation continues. Otherwise, an error is raised. Defaults to
0.0 (raise an error).
Returns
-------
windows_datasets: BaseConcatDataset
X and y transformed to a dataset format that is compativle with skorch
and braindecode
"""
# Prevent circular import
from ..preprocessing.windowers import create_windows_from_events
if descriptions is not None:
if len(descriptions) != len(raws):
raise ValueError(
f"length of 'raws' ({len(raws)}) and 'description' "
f"({len(descriptions)}) has to match")
base_datasets = [BaseDataset(raw, desc) for raw, desc in
zip(raws, descriptions)]
else:
base_datasets = [BaseDataset(raw) for raw in raws]
base_datasets = BaseConcatDataset(base_datasets)
windows_datasets = create_windows_from_events(
base_datasets,
trial_start_offset_samples=trial_start_offset_samples,
trial_stop_offset_samples=trial_stop_offset_samples,
window_size_samples=window_size_samples,
window_stride_samples=window_stride_samples,
drop_last_window=drop_last_window,
mapping=mapping,
drop_bad_windows=drop_bad_windows,
preload=preload,
accepted_bads_ratio=accepted_bads_ratio,
)
return windows_datasets
[docs]def create_from_mne_epochs(list_of_epochs, window_size_samples,
window_stride_samples, drop_last_window):
"""Create WindowsDatasets from mne.Epochs
Parameters
----------
list_of_epochs: array-like
list of mne.Epochs
window_size_samples: int
window size
window_stride_samples: int
stride between windows
drop_last_window: bool
whether or not have a last overlapping window, when
windows do not equally divide the continuous signal
Returns
-------
windows_datasets: BaseConcatDataset
X and y transformed to a dataset format that is compativle with skorch
and braindecode
"""
# Prevent circular import
from ..preprocessing.windowers import _check_windowing_arguments
_check_windowing_arguments(0, 0, window_size_samples,
window_stride_samples)
list_of_windows_ds = []
for epochs in list_of_epochs:
event_descriptions = epochs.events[:, 2]
original_trial_starts = epochs.events[:, 0]
stop = len(epochs.times) - window_size_samples
# already includes last incomplete window start
starts = np.arange(0, stop + 1, window_stride_samples)
if not drop_last_window and starts[-1] < stop:
# if last window does not end at trial stop, make it stop there
starts = np.append(starts, stop)
fake_events = [[start, window_size_samples, -1] for start in
starts]
for trial_i, trial in enumerate(epochs):
metadata = pd.DataFrame({
'i_window_in_trial': np.arange(len(fake_events)),
'i_start_in_trial': starts + original_trial_starts[trial_i],
'i_stop_in_trial': starts + original_trial_starts[
trial_i] + window_size_samples,
'target': len(fake_events) * [event_descriptions[trial_i]]
})
# window size - 1, since tmax is inclusive
mne_epochs = mne.Epochs(
mne.io.RawArray(trial, epochs.info), fake_events,
baseline=None,
tmin=0,
tmax=(window_size_samples - 1) / epochs.info["sfreq"],
metadata=metadata)
mne_epochs.drop_bad(reject=None, flat=None)
windows_ds = WindowsDataset(mne_epochs)
list_of_windows_ds.append(windows_ds)
return BaseConcatDataset(list_of_windows_ds)


You need to enable JavaScript to run this app.
Logout
Welcome {{ username }}!
The user '{{ username }}' is not a member of any team space.

Please consult with your Team Administrator.
Select application from these team spaces:
Please wait a moment until your user space is created.


learn how to develop web applications from scratch
build a fantasy cricket game using python language
Learn SEO search engine Marketing and program analytics
Learn to hack and secure web applications
Learn the ABC s of Data Science
Build your own music player app
Learn world's most popular languages
Learn how to use Microsoft Excel from scratch
Develop system applications from scratch
Learn to build IOT projects in 4 weeks
Learn Angular and create your own social blogging website


The vessel grounded on a coral reef in the Great Barrier Reef, on the 16th of August 1842. No lives were lost. The reef the 'Clifford' struck was not marked on the charts. The location was recorded as bearing, by compass, S by W 1/2 W from the western most point of Sir Charles Hardy's Islands, distant approximately 3.75 miles, and N E 3/4 E from Haggestone's Island, distant about 9 miles. The vessel could not be refloated and the vessel bumped heavily as the sea broke over the vessel. The 'Clifford' was given up as a total loss and the captain and crew abandoned the vessel (Sydney Morning Herald 15/12/1842:2).


| IntervalSequenceGenerator |
class IntervalSequenceGenerator
A component that can generate sequences of doubles with a specified interval. |
| UniformlyDistributedSequenceGenerator |
class UniformlyDistributedSequenceGenerator
A component that can generate uniformly distributed sequences of doubles within a specified interval. |


--- layout: default heading: University of Toronto subheading: ECE521: Inference Algorithms and Machine Learning --- {% include header.html %}


I recently gave a presentation on Entity Framework performance for the guys at work and one of my colleagues suggested I turned it a cheat sheet, so here goes:
A PDF version of this can be found here.
A big thanks to Thomas Coats for his help with this.


Thank you for taking the time to help us improve the platform
Which option best describes your current role?
Would you recommend freeCodeCamp to a friend?
What is your favorite feature of freeCodeCamp?
What would you like to see improved? (Check all that apply.)
Any comments or suggestions?


{{ define "modifiers" }} theme--fp{{ end }} {{ define "main" }}
Sorry, this page seems to be lost in time.
Go back to where it all began


Psalms 17:13
Arise, O LORD, disappoint him, cast him down: deliver my soul from the wicked, which is thy sword:


EDtv ***
rated PG-13 starring Matthew McConaughey, Jenna Elfman, Ellen DeGeneres, Woody Harrelson, Martin Landau, Sally Kirkland, Rob Reiner, Dennis Hopper, Elizabeth Hurley, Clint Howard, Adam Goldberg written by Lowell Ganz and Babaloo Mandel based on the screenplay for LOUIS 19, LE ROI DES ONDES by Emile Gaudreault and Sylvie Bouchard directed by Ron Howard
Would you ever want a camera crew following you around 24 hours a day, filming everything you do? If you gave any thought at all to it, my guess is you'd say no. But Ed Kearney (Matthew McConaughey) in Ron Howard's comedy EDtv doesn't give that much thought to anything.
Ed is a thirtysomething video store clerk who gets pushed into the national spotlight when he agrees to star in a show called TrueTV, in which a film crew would follow him around 24 hours a day. His brother, Ray (Woody Harrelson, who could pass for McConaughey's brother in real life), loves the idea because he can get free publicity for his new gym. Ray's girlfriend Shari (a very good Jenna Elfman) finds out that Ray is cheating on her when Ed and his cameras go to visit him, and she realizes that it was Ed she wanted all along.  Along with Ed, we also find out hidden secrets about his family. And when Shari ditches Ed and the cameras and moves away, the dimwitted Ed realizes that the show has turned his life into a claustrophobic mess. One show executive (Ellen DeGeneres) decides then to give the show some excitement by sending out a woman (Elizabeth Hurley) to seduce Ed. By then, Ed is a national phenomenon, and a few thousand people wait outside the woman's apartment to cheer Ed on. When the night turns into a mess, Ed finally confronts head studio executive (Rob Reiner) and demands to be set free. But then the executive reminds him of the contract he signed that says that he can be filmed for as long as the studio would like to film him. Then the film takes a funny satirical twist as Ed tries to get his simple life back to normal.
EDtv is not nearly as significant as the film that it will be compared to time and time again, THE TRUMAN SHOW. In the few times that I saw THE TRUMAN SHOW, I actually dismissed it as another overrated Hollywood attempt at greatness. But EDtv actually made me see what made THE TRUMAN SHOW so special. It had a social significance and portrayed Truman's world so satirically well. I'm not saying, though, that EDtv is a bad movie. Infact, I may have enjoyed it more than THE TRUMAN SHOW. It is funny, smart and entertaining, and it doesn't leave as many unanswered questions as THE TRUMAN SHOW. But sometimes the film gets lost, often forgetting what it's there to do. To prove (like THE TRUMAN SHOW) that television, above all, is just a bunch of crap.
a review by Akiva Gottlieb, The Teenage Movie Critic<EMAIL_ADDRESS>http://www.angelfire.com/mo/film watch me on TBS' "Dinner And A Movie" May 21, 8:05pm EST
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A Health Community
A health Community
for People
Login
Create Account
Helora is an online community where you could get online feedback from verified doctors. A community built by us for us.
View MoreSend us your queries.


ME – Sen. Susan M. Collins (R) and Sen. Angus S. King, Jr. (I)
Committees
Susan M. Collins is the #4 Republican on the Senate Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies
Susan M. Collins is the #4 Republican on the Senate Committee on Appropriations
Susan M. Collins is the #4 Republican on the Senate Appropriations Subcommittee on Energy and Water Development
Committees
Angus S. King, Jr. is the #7 Independent on the Senate Energy Subcommittee on Energy
Angus S. King, Jr. is the #8 Independent on the Senate Committee on Energy and Natural Resources
HEP Grants
This state received no SC HEP grants from 2012-2020
SC Contracts
This state received no SC contracts from 2012-2020
NSF MPS Grants
In the past 9 years, this state has received: 50 NSF MPS grants, totalling $8,988,322
Institution Amount ($)
------------------------------------- ------------
University Of Maine System 4,012,860
Bowdoin College 1,597,032
Colby College 1,165,692
President & Bates College 1,020,819
University Of New England 792,365
Bigelow Laboratory For Ocean Sciences 399,554
SULI/CCI Interns
From 2014-2018, this state had 7 SULI/CCI interns
# Interns Program College
----------- --------- -------------------
3 SULI University of Maine
2 SULI Colby College
1 SULI Bowdoin College
1 SULI Unity College
7 — — Back to top
ME-01 – Rep. Chellie Pingree (D) – Wikipedia
Committees
Chellie Pingree is the #15 Democrat on the House Committee on Appropriations
HEP Grants
This district received no SC HEP grants from 2012-2020
SC Contracts
This district received no SC contracts from 2012-2020
NSF MPS Grants
In the past 9 years, this district has received: $3,746,643 in NSF MPS grants.
Year Institution Amount ($)
------ ------------------------------------- ------------
2019 Bowdoin College 338,062
2018 Bigelow Laboratory For Ocean Sciences 399,554
2018 Bowdoin College 437,815
2018 Colby College 194,141
2017 Bowdoin College 112,061
2017 Colby College 332,234
2016 Bowdoin College 98,600
2015 Bowdoin College 106,000
2015 Colby College 22,957
2015 University Of New England 374,580
2014 Bowdoin College 292,514
2014 Colby College 29,690
2013 Bowdoin College 62,000
2013 Colby College 378,670
2013 University Of New England 417,785
2012 Bowdoin College 149,980
SULI/CCI Interns
From 2014-2018, this district had 3 SULI/CCI interns
Term Name College Host Lab Program
----------- --------------------- --------------- ------------------------------------- ---------
Summer 2018 Randall Chan Colby College SLAC National Accelerator Laboratory SULI
Summer 2017 Sarah Bailey Colby College Pacific Northwest National Laboratory SULI
Summer 2016 Joseph Sloane Seibert Bowdoin College Princeton Plasma Physics Laboratory SULI
ME-02 – Rep. Jared F. Golden (D) – Wikipedia
HEP Grants
This district received no SC HEP grants from 2012-2020
SC Contracts
This district received no SC contracts from 2012-2020
NSF MPS Grants
In the past 9 years, this district has received: $5,241,679 in NSF MPS grants.
Year Institution Amount ($)
------ -------------------------- ------------
2020 University Of Maine System 18,600
2019 President & Bates College 132,989
2019 University Of Maine System 375,058
2018 President & Bates College 260,344
2018 University Of Maine System 535,900
2017 University Of Maine System 327,543
2016 President & Bates College 12,000
2015 University Of Maine System 18,907
2014 President & Bates College 41,450
2014 University Of Maine System 214,352
2013 President & Bates College 56,000
2013 University Of Maine System 722,500
2012 Colby College 208,000
2012 President & Bates College 518,036
2012 University Of Maine System 1,800,000
SULI/CCI Interns
From 2014-2018, this district had 4 SULI/CCI interns
Term Name College Host Lab Program
----------- ---------------------- ------------------- ------------------------------------- ---------
Summer 2015 Tayelor Gosselin University of Maine Brookhaven National Laboratory SULI
Summer 2015 Reid Vincent Eli Paris University of Maine Oak Ridge National Laboratory SULI
Summer 2014 Emily Kathryn Anderson University of Maine Pacific Northwest National Laboratory SULI
Spring 2014 Katie Schober Unity College Brookhaven National Laboratory SULI


The opioid pandemic has resulted in thousands of deaths throughout the country. Usually, the cause is through pharmaceuticals prescribing medications such as Oxycotin to patients without discussing the addictive side effects. This map shows the top states with high overdose rates, the greyed out ones are states with extremely low overdose rates. States such as Virginia and Maine suffer with the highest rates. Settlements have taken place with Purdue Pharma, Pfizer, Merck and more. The highest being $4.25 billion dollars from Merck for a liability on the heart risks from their arthritis medication, Vioxx. According to the National Academy of Medicine, they’ve partnered with hundreds of non-profits and organizations “to reversing national trends in opioid misuse and overdose,” according to their website.


wf3ccd¶
This routine contains the initial processing steps for all the WFC3 UVIS channel data. These steps are:
- DQICORR - initializing the data quality array
- ATODCORR - perform the a to d conversion correction
- BLEVCORR - subtract the bias level from the overscan region
- BIASCORR - subtract the bias image
- FLSHCORR - subtract the post-flash image
wf3ccd
first subtracts the bias and trims the overscan regions from the image. If an associated set of UVIS CR-SPLIT or REPEAT-OBS images is being processed,
all of the overscan-trimmed images are sent through wf3rej
to be combined and receive cosmic-ray rejection. The resulting combined image then receives final calibration with wf32d
,
which includes dark subtraction and flat-fielding. If there are multiple sets of CR-SPLIT or REPEAT-OBS images in an association, each set goes through the cycle of wf3ccd
, wf3rej
and wf32d
processing.
If BLEVCORR is performed the output contains the overcan-trimmed region.
Only those steps with a switch value of PERFORM in the input files will be executed, after which the switch will be set to COMPLETE in the corresponding output files.
Example¶
In Python without TEAL:
>>> from wfc3tools import wf3ccd >>> wf3ccd(filename)In Python with TEAL:
>>> from stsci.tools import teal >>> from wfc3tools import wf3ccd >>> teal.teal('wf3ccd')In Pyraf:
>>> import wfc3tools >>> epar wf3ccd
Parameters¶
- input : str
Name of input files
- a single filename (
iaa012wdq_raw.fits
)- a Python list of filenames
- a partial filename with wildcards (
\*raw.fits
)- filename of an ASN table (
\*asn.fits
)- an at-file (
@input
)- output: str
- Name of the output FITS file.
- dqicorr: str, “PERFORM/OMIT”, optional
- Update the dq array from bad pixel table
- atodcorr: str, “PERFORM/OMIT”, optional
- Analog to digital correction
- blevcorr: str, “PERFORM/OMIT”, optional
- Subtract bias from overscan regions
- biascorr: str, “PERFORM/OMIT”, optional
- Subtract bias image
- flashcorr: str, “PERFORM/OMIT”, optional
- Subtract post-flash image
- verbose: bool, optional
- Print verbose time stamps?
- quiet: bool, optional
- Print messages only to trailer file?
The wf3ccd function can also be called directly from the OS command line:
>>> wf32ccd.e input output [-options]
Where the OS options include:
- -v: verbose
- -f: print time stamps
- -dqi: udpate the DQ array
- -atod: perform gain correction
- -blev: subtract bias from overscan
- -bias: perform bias correction
- -flash: remove post-flash image


I'm a Full Stack Web Developer from Germany, who is currently living in Austria. I started coding at age thirteen and am more passionate about it than ever. Hopefully you'll get some insights about myself and my work on this site.
Software Development Engineer @ Monkee
Developer and Webmaster @ TSV Ismaning Handball
Developer & Co-Founder @ Digitales Wartezimmer
Developer @ HomeFox
Development Intern @ Senacor Technologies AG
Some Projects I have worked on in the past or am currently working on
Also check out my Open-Source Contributions on GitHub


Computation times¶
27:26.443 total execution time for gyexamples files:
Benchmark and profile of operator Slice ( |
04:18.669 |
0.0 MB |
Convert a pipeline with a LightGBM regressor ( |
03:08.918 |
0.0 MB |
Compares numpy to onnxruntime on simple functions ( |
02:28.826 |
0.0 MB |
Benchmark ONNX conversion ( |
02:17.003 |
0.0 MB |
Benchmark, comparison torch - forward-backward ( |
01:52.318 |
0.0 MB |
Benchmark, comparison sklearn - forward-backward - classification ( |
01:37.506 |
0.0 MB |
Benchmark onnxruntime API: run or … ( |
01:35.485 |
0.0 MB |
Forward backward on a neural network on GPU (Nesterov) and penalty ( |
01:23.585 |
0.0 MB |
Benchmark operator LeakyRelu ( |
01:08.642 |
0.0 MB |
Benchmark, comparison scikit-learn - forward-backward ( |
01:07.291 |
0.0 MB |
Benchmark, comparison scikit-learn - onnxruntime-training ( |
01:04.261 |
0.0 MB |
Benchmark inference for scikit-learn models ( |
00:57.007 |
0.0 MB |
Train a scikit-learn neural network with onnxruntime-training on GPU ( |
00:39.116 |
0.0 MB |
Forward backward on a neural network on GPU ( |
00:31.850 |
0.0 MB |
Profile onnxruntime execution ( |
00:24.564 |
0.0 MB |
What is the opset number? ( |
00:21.178 |
0.0 MB |
Benchmark onnxruntime optimization ( |
00:13.603 |
0.0 MB |
Transfer Learning with ONNX ( |
00:12.040 |
0.0 MB |
Benchmark inference for a linear regression ( |
00:11.956 |
0.0 MB |
Benchmark operator Slice ( |
00:11.672 |
0.0 MB |
TfIdf and sparse matrices ( |
00:11.202 |
0.0 MB |
Converter for WOE ( |
00:10.979 |
0.0 MB |
Train a linear regression with forward backward ( |
00:10.627 |
0.0 MB |
A new converter with options ( |
00:10.413 |
0.0 MB |
Funny discrepancies ( |
00:06.687 |
0.0 MB |
Train a linear regression with onnxruntime-training ( |
00:06.182 |
0.0 MB |
Black list operators when converting ( |
00:05.707 |
0.0 MB |
One model, many possible conversions with options ( |
00:05.231 |
0.0 MB |
Issues when switching to float ( |
00:04.856 |
0.0 MB |
Dataframe as an input ( |
00:04.279 |
0.0 MB |
Profiling of ONNX graph with onnxruntime ( |
00:03.529 |
0.0 MB |
Train a linear regression with onnxruntime-training in details ( |
00:02.868 |
0.0 MB |
Convert a pipeline with a XGBoost model ( |
00:02.318 |
0.0 MB |
Intermediate results and investigation ( |
00:01.943 |
0.0 MB |
Train a linear regression with onnxruntime-training on GPU in details ( |
00:01.936 |
0.0 MB |
Implement a new converter using other converters ( |
00:01.654 |
0.0 MB |
Add a parser to handle dataframes ( |
00:01.462 |
0.0 MB |
Convert a pipeline with a LightGBM classifier ( |
00:01.453 |
0.0 MB |
Implement a new converter ( |
00:01.382 |
0.0 MB |
Choose appropriate output of a classifier ( |
00:01.358 |
0.0 MB |
Train and deploy a scikit-learn pipeline ( |
00:01.344 |
0.0 MB |
Change the number of outputs by adding a parser ( |
00:01.164 |
0.0 MB |
Converter for WOEEncoder from categorical_encoder ( |
00:01.042 |
0.0 MB |
Fast design with a python runtime ( |
00:01.004 |
0.0 MB |
Modify the ONNX graph ( |
00:00.141 |
0.0 MB |
Two ways to implement a converter ( |
00:00.096 |
0.0 MB |
Store arrays in one onnx graph ( |
00:00.095 |
0.0 MB |
Fast runtime with onnxruntime ( |
00:00.000 |
0.0 MB |


The material composition and uniform force distribution of a traditional barbell and plate system allow for a predictiable trajectory given a force input on the system by a trainee. Let's use the bench press as an example. A trainee can quite accurately predict the location that a barbell will end up in after he/she applies a force to the barbell during the concentric (pressing) portion of the bench press. This is due to a combination of years of experience honing natural human coordination and the rigid composition of the barbell and plate system.
On the contrary, the material composition of the earthquake bar is designed to increase the unpredictability of motion given a force input. This is due in part to the flexible characteristic of the bar's carbon fiber construction. This unpredictibility is further amplified by the use of weights that are hanging from rubber bands in a pendulum-like fashion. The rubber bands allow unpredictable motion of the weights in all three dimenions, and the potential energy that is stored in the bands is ever changing throughout the bench stroke.
This unpredictability leads to joint instability and promotes the use and engagement of muscles responsible for the stabilization of the elbow and shoulder joints. These muscles play a larger roll in movement and stability when the force exerted on them is unpredictable.
Benefits
Helps improve joint stability -> Reduce chance of injury
Helps improves form in traditional pressing movements
Conclusion
If you are interested in training with the earthquake bar, feel free to ask a staff member for a demonstration of proper use and technique.


John Blischak is a graduate student at
the University of Chicago. His research focuses on the
transcriptional response of human macrophages to infection
by Mycobacterium tuberculosis. He greatly benefited from
attending a Software Carpentry bootcamp and enjoys passing along
these useful skills to other scientists.


Welcome to my website where I will review games that I have played and give them ratings for various thing such as music, mechanics and more.
Im a 14 years old and I just like to play video games most of the time and have played many games ranging from rouge-likes to first person shooters and peaceful farming games. I mostly just play with friends but we still manage to get upto some wacky stuff online ranging from breaking the game to just having some fun.
I will rate the games for each mechanic from 1-10. 10 being done well and 1 being done poorly along with this I will also give my reasoning as to why I gave it that score. Each category will be rated in the order as listed here.
Gameplay: How good is the gameplay.
Music: How good does the music fit the game and how good the music is.
Mechanics: Are the mechanics good and are they thrown in for the sake of a mechanic.
Graphics: How good the graphics are for the type of graphics they are. Etc pixel art.
User interface: Are the menus good to use and how cluttered is the screen during gameplay.
Story/Characters: How well done the story and How well done the Characters are developed throughout the story
Bugs: How many bugs/How many game breaking bugs. Etc deleting save files, Getting access to places or things to early (if can be easily found by normal play and not for the sake of a speedrun)


We provide support for the following clients: A Company, B Ltd., C & D, E Corp., F & Partners, G & Co., H Group, I & Sons, J Ent.


Meeting Name
Meeting Creator
Elmo
Invited Attendees
Bert
Ernie
Proposed Meeting Times
Option
Time
Current Votes
Vote
1
Thursday, 14th January 10:00
0
2
Tuesday, 12th January 08:00
0
3
Friday, 15th January 16:00
0
Vote Time
Suggest another time
Add time
Meeting Locations
Click on the map to propose a new location.
Click on a location tag to see information and vote
Number of Votes vs. Location


I did the exercise with my wife and we often have comfortable silences in our conversations. However, because the other person was intently focusing on the speaker and was also not able to fill in the silence we both found it a little awkward.
I will use 'Meditation Circuit Training' as I think that is what I can fit in easily into each day.
I feel like the formal conversation exercises pushed me to talk about my deeper feelings as I tried to expand on what I was talking about to have something to talk about for 3 minutes (I'm not much of a talker).


{% extends 'layout.html' %} {% block pageTitle %} Publish your prototype online - NHS.UK prototype kit {% endblock %} {% block beforeContent %} {% include "how-tos/includes/breadcrumb.html" %} {% endblock %} {% block content %}
Publishing your prototype online means you can:
You'll need a hosting service to publish prototypes online.
The NHS.UK prototype kit runs on any hosting service that supports Node.js.
Your organisation may already use a hosting service for the prototype kit. Check with your digital team about which platform to use.
For example:
In Railway, you need to set the command to get started. Go to Settings > Deploy and set it to npm run start
.
Some hosting services may automatically deploy your prototype every time you merge new changes in the connected GitHub repository. You may be able to enable automatic deploys. If it hasn't automatically update your prototype, you will need to do this manually.
When running the prototype kit online, you must set a username and password. This is to stop anyone accidentally finding your prototype and mistaking it for a real service.
To set a password, check your hosting services documentation on how to set "environment variables". (It may have a slightly different name like "config vars" or "variables".)
Set environment variables. For example:
PROTOTYPE_USERNAME
nameofservice
PROTOTYPE_PASSWORD
yourpassword123
In Railway, you also need to create:
NODE-ENV
and set the value to production
USE_AUTH
with the value of true
Read more about:
{% include "how-tos/includes/back-button.html" %}


12 Volt TV DVD - Skyworth, NAXA & RCA LED 12V Color Television
22" LED 12 Volt TV DVD Combo AC/DC (SLC2219A). 19" LED TV DVD Combo . Skyworth 13" AC DC Color 12 Volt LED TV DVD (SLC1369A-3). 13.3" LCD .
http://www.roadtrucker.com/12-volt-lcd-tv-dvd-widescreen/12-volt-tv-dvd.htm
Treatment for Herniated or Bulging Discs
Discount LED TVs - LED TVs | Bundle City
AC DC TVs. TV DVD Combos. 10 Inches & Smaller TVs. 11 to 15 Inch TVs. 16 to 22 Inch TVs. 23 to 26 Inch TVs. 27 to 37 Inch TVs. Portable TV or DVD Players .
http://www.bundlecity.com/c-2-televisions-and-lcd-tvs.aspx
Save Space with a TV/DVD Combo | BH inDepth
Jun 28, 2012 . Maybe that's why choosing a TV that lets you load a DVD or CD vertically . If you're camped out in the parking lot of a football stadium or ball park or simply want TV reception from your non-moving vehicle, an AC/DC combo .
http://www.bhphotovideo.com/indepth/home-entertainment/hands-reviews/save-space-tvdvd-combo
camping ac dc tv's with dvd Herniated or Bulging Discs
Portable TV DVD Combo - TV DVD Combos - BundleCity
23 to 26 Inch (3). Television Type. LED TVs (12). LCD TVs (4). 12 Volt AC DC Capable. Show Only AC DC TVs (15). TV DVD Combo. DVD Player Built In (16) .
http://www.bundlecity.com/c-40-tv-dvd-combos.aspx
RCA DECK15DR 15.6" TV/DVD Combo - HDTV - 16:9 - 1366 x 768 ...
15 LED TV with DVD AC/DC Power. 15.6 LED Backlit Active Matrix TFT LCD Display. Built-In DVD Player and ATSC/NTSC Integrated Tuner. AC 110V-220V/ .
http://electronics.pricegrabber.com/combo-televisions/Innovative-Dtv-Solutions-Inc-Ac-dc-Led-Dvd-Deck15dr/m932378071.html
13 ac dc cigarette lighter car truck tv dvd combo cheap | eBay
13 ac dc cigarette lighter car truck tv dvd combo cheap in Consumer . lcd tvs huge selection 23 tvs great rvs trucks camping boats www vivaladeals com 12volttv .
http://www.ebay.com/itm/13-ac-dc-cigarette-lighter-car-truck-tv-dvd-combo-cheap-/380211027623
Official Impairment Listing for Spinal Disorders
12 Volt TV DVD - AC DC TV - TV LCD 12 V
For movie lovers, we also offer 12 volt TV DVD LCD combos. Best of all, our portable 12 volt AC DC TVs support the new digital ATSC format so you won't .
http://www.vivaladeals.com/c-40-ac-dc-tvs.aspx
- north star la jolla (narrowing of the spine)
Feature Jensen JE1911DVDC 19" AC/DC LCD/DVD Combo - trdf343
Jensen JE1911DVDC 19" AC/DC LCD/DVD Combo, Resolution 1440 x 900, . 16 Jensen JE1911DVDC 19? HD LCD TV AC DC DVD Combo Camper Trailer .
http://trdf343.wordpress.com/jensen-je1911dvdc-19-acdc-lcddvd-combo-resolution-1440-x-900-integrated-hdtv-tuner-1080p-720p-480p-16/DC TV : 12 Volt LCD Television : Portable Television : 12V Digital TV ...
12 volt color tv 12 volt dc tv 12 volt flat screen tv 12 volt lcd television 12 volt lcd tv 12 . tv 12v television 12v tv 12v tv dvd 15 lcd tv 12v audiovox 12 volt tv campers tv . ac/dc current tv dc tv w/dvd combo digital travel television high-def travel tv .
http://www.12volt-travel.com/index.php?main_page=page&id=5
rca 12v volt ac dc tv television dvd car truck rv boat<PHONE_NUMBER>69 ...
rca 12v volt ac dc tv television dvd car truck rv boat in Consumer Electronics, TV, . camping boats www vivaladeals com 12volttv 12 volt combo tvs sale space .
http://www.ebay.com/itm/rca-12v-volt-ac-dc-tv-television-dvd-car-truck-rv-boat-/380367039077
Supersonic 13-inch AC/ DC Color TV/ DVD Player - Buzzillions.com
"We ordered this AC/DC TV/DVD based on other customer reviews and were very . I bought it for our hunting camp where we have no electrical service. As long .
http://www.buzzillions.com/reviews/supersonic-13-inch-ac-dc-color-tv-dvd-player-reviews
Medical-Vocational Allowance for Herniated Disc
Choosing a TV for Your RV - TopTenREVIEWS
Many televisions designed for RVs are 12-volt, some use standard ac/dc . that are multifunctional, meaning they also include a DVD player and or a CD player.
http://tv.toptenreviews.com/portable/choosing-a-tv-for-your-rv.htm
Amazon.com: Symphonic SC309E 9-Inch AC/DC TV/VCR Combo ...
9 inch CRT AC/DC TV/VCR combo; 12.13 x 13 x 12.96 inches (W x H x D) . With both AC and DC connectors, you can watch it in your car, camper, or anywhere there's a DC connection. . The vcr is good for exercise videos and IFit videos.
http://amazon.com/gp/product/B0009GEVPU?tag=shoppingbuy-20
Appealing a Denial of Benefits
12 Volt LCD TVs at Direct Depot
Products 1 - 21 of 26 . 12v lcd TVs are also great when camping. We carry a large selection of 12v lcd TVs and 12volt tv dvd combos. . Very Low. Naxa NDL429 7" TFT LCD Portable DVD Micro System with USB SD Slot AC/DC & Battery Power .
http://www.directdepot.net/category7_tv.php
24" AC/12VDC LED DVD Combo TV | TVforMyRV
TV for My RV stocks 24-inch dual powered AC/DC LED television DVD . 12V operation reduces heat and power consumption when you are dry camping.
http://www.tvformyrv.com/product/NTD2452-24-inch-12v-acdc-dvd-led-tv-combo


Why? Since 2012 the Catalogue of Digital Editions has been gathering digital editions and texts in an attempt to survey and identify best practice in the field of digital scholarly editing. Analogous initiatives exist but don't provide the granular analysis of features necessary to better understand the rationale and methodology behind the creation of a digital edition. This Catalogue provides an accessible record of standards and building technologies used, and thus an insight into past and present projects.
How? Development on this web application began in 2016 and aims at delivering the Catalogue data in an interactive and user-friendly manner, allowing users to browse, search, filter and order projects around their research interests.
What? The Catalogue continuously adds digital editions and always seeks external contributions. For instructions on how to submit a digital edition to the Catalogue, please visit the Documentation page of this site.
Projects added will be exposed to over 300 German libraries thanks to the Catalogue's integration into the German Library Network (DBIS).
News items
{% newsfeed_bootstrap_panel %} {% toggle_feeds %}#digEdsCat on Twitter


Apollo's last game of pool was so strange.
Steve was afraid of the Boogieman.
Duke is very bored. When he looks at the sky, he feels to run.
When Goliath comes out, you should run.


From DataTables documentation:
There are times when reading data from the DOM is simply too slow or unwieldy, particularly when dealing with many thousands or millions of data rows. To address this DataTables' server-side processing feature provides a method to let all the "heavy lifting" be done by a database engine on the server-side (they are after all highly optimised for exactly this use case!), and then have that information drawn in the user's web-browser. Consequently, you can display tables consisting of millions of rows with ease.
When using server-side processing, DataTables will make an Ajax request to the server for each draw of the information on the page (i.e. when paging, ordering, searching, etc.). DataTables will send a number of variables to the server to allow it to perform the required processing and then return the data in the format required by DataTables.
Server-side processing is enabled by use of the serverSideDT option, and configured using ajaxDT.
For more information, please check out DataTable's documentation.
Note
- This feature is only available with Ajax rendering!
-
By default,
angular-datatables
set theAjaxDataProp
to''
. So you need to provide theAjaxDataProp
with either.withDataProp('data')
or specifying the optiondataSrc
in theajax
option. -
If your server takes a while to process the data, I advise you set the attribute
processing
totrue
. This will display a message that warn the user that the table is processing instead of having a "freezing-like" table.
With your browser debugger, you might notice that this example does not use the server side processing. Indeed, since Github pages are static HTML files, there are no real server to show you a real case study.


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
SCDS Corp.
Mailing Address:
117-11131 Rue MeighenPIERREFONDS, Quebec
H8Y 3H7
Location Address:
117-11131 Rue MeighenPIERREFONDS, Quebec
H8Y 3H7
Tel.:<PHONE_NUMBER>
Fax:
Logo
Company Profile
Actively engaged internationally in 3D imaging technologies since 2002, SCDS offers successful product solutions for a broad range of applications including the design of custom 3D imaging expert systems, spatial data collection via HD Laser Scanning, Thermal and Subsurface Imaging, digitization, Spatial Parameter Imaging SPI, reverse engineering and analysis of large structures.
Beyond the quality services provided so far to reputable clients in North America, EU and Middle East, over the past decade, within more than 100 digital imaging projects across multiple industrial and non-industrial domains, SCDS has received well-earned recognition as a leading innovator in SPI.
SCDS currently operates as a group of turnkey service providers, application system developers and integrators, capacity builders, and technology promoters. SCDS is neither a traditional surveying nor a 3D laser scanning company. Our vision is that 3D laser scanning just offers a spatial data collection platform generating input data opportunities for the development of technologies, tools and application systems that can solve complex engineering problems and definitely improve the performance in design, manufacturing, construction, operation, maintenance, and QA/QI/QC. SCDS offers a complete package of solutions, which are implemented on a perfectly reliable and coherent digital imaging, data processing, (meta)data management and data configuration management platform.
SCDS's technological power and business attractiveness reside in:
its capacity to cover any range of non-intrusive imaging;
the experience and expertise in numerical analysis, software development/integration, and application development for practically any industrial and non-industrial domain;
its BIM implementation concept, which is going to be of a great value in the upcoming years due to constant and diligent BIM implementation efforts, strategies and activities being carried out worldwide;
its own (meta)data management system, metadataX, quite unique and perfectly compatible with any external CAD, BIM and GIS system;
the experience and expertise in specialized industrial training, education and capacity building;
the data processing, modeling and analysis capabilities and capacities allowing us to respond promptly and effectively to clients' requirements and requests, from HD Documentation to System Simulation Design and Integration.
SCDS developed applications in a multitude of domains as follows:
Construction/Building Engineering
Cladding/Architectural Design and Inventory
Urban Planning
Aerospace
Automotive and Racing
Ship/Maritime Technologies
Turbomachinery
Historic/Archaeological Sites/Landmarks
Artefacts Archiving
Transportation, Bridges, Roads and Their Structures
On-/Off-Shore Oil Rigs
Refinaries/Plants
Mining and Mineral Processing
Energy Systems
Dams, Ports and Navigation Waterways Design and Retrofitting
3D Digital Archiving and Project Metadata Management
Full profile
Full profile
Contact information
Company description
541510 - Computer Systems Design and Related Services
Product / Service / Licensing
(more info: www.metadatax.com)
Market profile
Alliances:
- Sales/Marketing
- Technology
Industry sector market interests:
- Construction
- Culture
- Information Technology and Telecommunications
- Mining/Petroleum/Gas
- Service Industry
Sector information
Classification codes
Distribution of employees:
R&D, operationsUnique applications:
ACHIEVEMENTS:2013 Effective Spatial Parameter ImagingTM Methodology for Assessing the Current Condition and Serviceability of Monolith Structures of St-Lawrence Seaway Locks, paper accepted at CSCE Annual Conference 2013.
2011 Novel methods of using HDS and SCDSs new 3D display and metadata management S/W for showcasing heritage
projects: the Church of the Nativity in Bethlehem, presented at Hexagon 2011 Conference, Orlando, FL
2011 Use of HDS in a major project for HATCH and ArcelorMittal, in an iron ore pelletizing plant, presented at Hexagon
2011 Conference, Orlando, FL
2011 SCDSs Products and Technologies presented at Geomatics 2011, Montreal
2008-2009 Architecture of metadataX, integrated Expert System for Life Cycle Management and Monitoring of Any Entity That Is
Subject to Multi-D Imaging
2007 Papers presented to the 2007 World User Conference, Leica Geosystems, San Ramon, CA
2007 Paper presented jointly with Bombardier Aerospace to CASI Conference: Development of an Accurate, Non-Intrusive Methodology for In-Flight Wing Measurement
2006 Paper presented jointly with Federal Bridges to the 7th International Conference for Medium Span Bridges:
Application of Long Range 3D Laser Scanning for Remote Sensing and Monitoring of Complex Bridge Structures
Key / Major clients:
The St. Lawrence Seaway Management Corporation, Research Institute for Hydro Quebec, Hydro-Quebec, Concordia University, Federal Bridges, Ville de Gatineau, Alstom Power Canada, Bombardier Aerospace, Ministry of Transportation Quebec, Public Works and Governmental Services Canada, RSW Inc., SNC Lavalin, Bahrain Ministry of Information, Verrault Navigation, Arcelor Mittal Mines Canada, HATCH Inc., PCL Construction, Calmar Research Corporation/Henderson Truck and Equipments Inc.Testimonial:
The laser scans done are being used to spot differences between the existing drawings and the reality on site. In many instances these differences are not obvious and can only be seen by superposing the scan with our models.The scans are very helpful for placing new pieces of equipment. We can ensure that we have enough space for maintenance or spot equipment that
will need to be relocated.
The 3D laser scans allowed me to have as-built data in places where it is
impossible to get access without major scaffolding.
The laser scan of the ball mills was used to accurately position the existing mills and foundations. This was essential to make sure our new equipment for the primary upgrading process could be installed as planned.
(Hatch Engineering, Canada)
International capital projects:
Church of Nativity, BethlehemQal'at Al Bahrain, Bahrain
Ras-Al-Kaymah, UAE
Saudi Aramco, KSA
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
541510 - Computer Systems Design and Related Services
Products, services and licensing
Product / Service / Licensing
(more info: www.metadatax.com)
Market
Market profile
Alliances:
- Sales/Marketing
- Technology
Industry sector market interests:
- Construction
- Culture
- Information Technology and Telecommunications
- Mining/Petroleum/Gas
- Service Industry
Sector
Sector information
Classification codes
Distribution of employees:
R&D, operationsUnique applications:
ACHIEVEMENTS:2013 Effective Spatial Parameter ImagingTM Methodology for Assessing the Current Condition and Serviceability of Monolith Structures of St-Lawrence Seaway Locks, paper accepted at CSCE Annual Conference 2013.
2011 Novel methods of using HDS and SCDSs new 3D display and metadata management S/W for showcasing heritage
projects: the Church of the Nativity in Bethlehem, presented at Hexagon 2011 Conference, Orlando, FL
2011 Use of HDS in a major project for HATCH and ArcelorMittal, in an iron ore pelletizing plant, presented at Hexagon
2011 Conference, Orlando, FL
2011 SCDSs Products and Technologies presented at Geomatics 2011, Montreal
2008-2009 Architecture of metadataX, integrated Expert System for Life Cycle Management and Monitoring of Any Entity That Is
Subject to Multi-D Imaging
2007 Papers presented to the 2007 World User Conference, Leica Geosystems, San Ramon, CA
2007 Paper presented jointly with Bombardier Aerospace to CASI Conference: Development of an Accurate, Non-Intrusive Methodology for In-Flight Wing Measurement
2006 Paper presented jointly with Federal Bridges to the 7th International Conference for Medium Span Bridges:
Application of Long Range 3D Laser Scanning for Remote Sensing and Monitoring of Complex Bridge Structures
Key / Major clients:
The St. Lawrence Seaway Management Corporation, Research Institute for Hydro Quebec, Hydro-Quebec, Concordia University, Federal Bridges, Ville de Gatineau, Alstom Power Canada, Bombardier Aerospace, Ministry of Transportation Quebec, Public Works and Governmental Services Canada, RSW Inc., SNC Lavalin, Bahrain Ministry of Information, Verrault Navigation, Arcelor Mittal Mines Canada, HATCH Inc., PCL Construction, Calmar Research Corporation/Henderson Truck and Equipments Inc.Testimonial:
The laser scans done are being used to spot differences between the existing drawings and the reality on site. In many instances these differences are not obvious and can only be seen by superposing the scan with our models.The scans are very helpful for placing new pieces of equipment. We can ensure that we have enough space for maintenance or spot equipment that
will need to be relocated.
The 3D laser scans allowed me to have as-built data in places where it is
impossible to get access without major scaffolding.
The laser scan of the ball mills was used to accurately position the existing mills and foundations. This was essential to make sure our new equipment for the primary upgrading process could be installed as planned.
(Hatch Engineering, Canada)
International capital projects:
Church of Nativity, BethlehemQal'at Al Bahrain, Bahrain
Ras-Al-Kaymah, UAE
Saudi Aramco, KSA


Please fill in the following information to continue
1
First Name & Address
Your Full Name
Address
City
Sate
2
Email & Phone
Email Address
Phone Number
3
Passwords
Password
Confirm Password


Checks that a valid Angular component is specified in the module’s
bootstrap
or
entryComponents
property.


The Nat Coombs Show: How to listen, episode guide and more
by ESPNHost Nat Coombs is joined by a crack team of journalists, analysts, players and guests from across the ESPN galaxy to bring you the definitive transatlantic NFL podcast experience four (count 'em) times a week.
With new episodes every Monday, Wednesday, Friday & Saturday, we'll bring you everything you need to know from around the league, the fantasy market and more.
Listen to The Nat Coombs Podcast
Episode guide
The episode lineup is:
Nov. 18: Nat, Nicky & is Gronk going to the XFL?
Nat & Nicky Bandini run through all of the action from week 11 of the NFL & Ben Isaacs joins us to discuss the implications of the Tua Tagovailoa injury.
Nov. 15: Thursday Night's Alright For Fighting?
Nat is joined by darts legend and devout Steelers fan Paul Nicholas to sift through the rubble of last night's altercation, talk Kap and pick all the weekend's action.
Nov. 13: Nat, Mike & the Tijuana Chargers
Nat & Mike discuss whether Kaepernick could be returning to the NFL, Ben Isaacs breaks down the LSU/Alabama college game and sports agent Brittany Gilman debuts on the show.
Nov. 8: What kind of car is Baker Mayfield?
The one and only Jason Bell is in the house this week to not only answer to help preview all the week 10 match-ups but also some of life's great questions too...
Nov. 7: Extra Time: NFL UK In The House
In a bonus show Nat talks to Alistair Kirkwood MD of NFL UK to talk about the games just gone, what's next for London and a whole lot more. How much? Download and find out...
Nov. 4: Nat, Ben, J.P & Belichick needing to chill
Nat & Ben Isaacs break down another epic week of NFL action and it is a pleasure to welcome Jags broadcaster J.P Shadrick to the show to discuss the Minshew vs. Foles debate.
Oct. 24: Nat & Neil Fight Club
This week Nat is joined by Sky & NFLUK's Neil Reynolds to talk Rams Superbowl hopes, Joe Montana and The Bee Gees, plus all the weekend's games of course.
Oct. 23: Nat & Mike ask What Would Bill Do
Nat & Mike deep-dive into the Patriots dominance & trades that could happen before the deadline. Plus, we welcome one of the key members behind the NFL UK games - Matt Lynch.
Oct. 2: Nat, Mike & Vernon Kay's love for the Scottish Hammer
Join Nat Coombs & Mike Carlson live from the Oakland Raiders practice facility for a deep dive into Bengals, Burfict and Britain. Plus, Vernon Kay on his love for the game.


CHAPTER 573
MARRIED WOMEN
REPEALED. L 1987, c 46, §4.
Note
§§573-1 to 8 renumbered as §§572-25, 22, 26, 27, 28, 23, 24, and 29, respectively.


| Denomination | Metal | Weight | Value (In Denarii) |
|---|---|---|---|
| Aureus | Gold | 7.90 grs. | 25 |
| Quinarius | Gold | 3.80 grs. | 12-1/2 |
| Denarius | Silver | 3.80 grs. | 1 |
| Quinarius | Silver | 1.90 grs. | 1/2 |
| Sestertius | Orichalcum | 25.00 grs. | 1/4 |
| Dupondius | Orichalcum | 12.50 grs. | 1/8 |
| As | Copper | 11.00 grs. | 1/16 |
| Semis* | Orichalcum | 3.25 grs. | 1/32 |
| Quadrans | Copper | 3.00 grs. | 1/64 |


| DOSE: |
22 ml |
oral |
GHB |
(liquid) |
I do not know if I should consider this experience a drug overdose or poisoning... At a friend's house, he is an EMT offering me GHB for the first time. I trusted him, being in the Navy, and he told me to take the reccomended dosage for a female my size of 4cc (4 ml). I was told not to eat for 4 hours prior to taking the drug, which I hadn't so it would work well.
I did not know anything about the drug GHB and at first I did not feel anything after taking the dose. I took a total of 18 more cc when he wasn't looking. 7 minutes later, I felt a strong and sudden reaction to the drug. I felt very dizzy and drunk and my vision was choppy and wavy. I told the EMT friend I was feeling it. I remember him pulling me into the bedroom to have sexual affairs and I remember acting very silly. The radio was on and I could hear the music around me very clearly and loud. I know my orgasm lasted nearly a minute and was very hard to achieve. It was more intense then any other time in my life. I left the room after having sex.
Still awake and wanting to talk, I sat down on the floor with my knees to my chest for about a minute, and the next thing I knew I was waking up the next morning... As I awoke, my eyes were rolling in the back of my head, I was unable to remember where I was, I was literally freezing cold, my teeth chattering. I had to urinate right away so I crawled to the bathroom and pulled myself onto the toilet. I felt so nausiated, my teeth still going, and my skin ice cold. The room was spinnng very fast.
The last dose I had taken of the GHB was at 4:30 am. When I awoke suddenly, it was only 8:30. The EMT friend was no where to be found, yet a letter was left for me... 10 minutes later, my eyes no longer fluttering, I began to read. 'I had to leave for work, please take this Thermadrene pill so you can drive yourself home. Please sleep as long as you need to in order to drive safely.' I drank some water, still below normal body temperature, wrapped myself up and went to sleep again.
Though I had a lot of trouble falling asleep. I was out in 20 minutes after laying there. 6 hours later, I felt okay to drive home and did so.
Calling the EMT friend, I asked what had happened to me. He said when I left the room, only minutes later, he came out to bring me into the bed where I can sleep comfortably, I was choking on my own tongue, about to swallow it. He layed me down on my side with a pillow and blanket, in a position where he knew I would be okay. He checked my vital signs, I was going to be okay.
I would call it an overdose, but since I woke up the way I did, so dissoriented and eyes rolling in back of my head, I didn't know if this would actually be poisoning... For the next 3 days I was depressed, forgetfull, had diareah, ate nothing, talked to no one. I eventually came out of the GHB trance after 3 days.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.