The document describes various container classes in C++ like cQueue, cArray, and histograms that can be used for recording simulation data in OMNeT++. It provides examples of using cOutVector to record time series node energy data, cHistogram to record node lifetime in a histogram, and the eventlog file to view events in a sequence chart. These classes and techniques allow modeling and visualization of simulation results in OMNeT++.
INET is an internet framework for OMNeT++ simulator.
This is a guide to start INET.
INET for Dummies.
INET Tutorial
If this guide is hard for you to follow, please comment or give any suggestion.
This presentation educates you about Python - Multithreaded
Programming, Starting a New Thread, The Threading Module, Creating Thread Using Threading Module, Synchronizing Threads and Multithreaded Priority Queue.
For more topics stay tuned with Learnbay.
INET is an internet framework for OMNeT++ simulator.
This is a guide to start INET.
INET for Dummies.
INET Tutorial
If this guide is hard for you to follow, please comment or give any suggestion.
This presentation educates you about Python - Multithreaded
Programming, Starting a New Thread, The Threading Module, Creating Thread Using Threading Module, Synchronizing Threads and Multithreaded Priority Queue.
For more topics stay tuned with Learnbay.
Python Training in Bangalore | Multi threading | Learnbay.inLearnbayin
Learn Multi threading in Python .How to create threads in Python.
About Race Condition.
Learnbay provides python training in Bangalore for network automation.
A short presentation about practical aspects of asynchronous data transfer with Netty
HTML version: http://vcherkassky.github.com/reveal.js/netty.html
Additional resources (from last slide):
* https://github.com/netty/netty
* http://seeallhearall.blogspot.co.uk/2012/05/netty-tutorial-part-1-introduction-to.html
Done with reveal.js: https://github.com/hakimel/reveal.js/
The latest slide deck about Java NIO.2 from *instinctools Java developer Alexandr Brui. You can find here Java NIO.2 design, work with data, selector & channels, reading & writing and many more.
Presentation from DevWeek 2014 on task and data parallelism. This session explains the TPL APIs and then covers various scenarios for extracting concurrency, reducing synchronization, putting thresholds on parallelization, and other topics.
queue datastructure made easy and datastructure explained in java. visit http://technoexplore.blogspot.com and http://hotjobstuff.blogspot.com for some other important presentations.
Python Training in Bangalore | Multi threading | Learnbay.inLearnbayin
Learn Multi threading in Python .How to create threads in Python.
About Race Condition.
Learnbay provides python training in Bangalore for network automation.
A short presentation about practical aspects of asynchronous data transfer with Netty
HTML version: http://vcherkassky.github.com/reveal.js/netty.html
Additional resources (from last slide):
* https://github.com/netty/netty
* http://seeallhearall.blogspot.co.uk/2012/05/netty-tutorial-part-1-introduction-to.html
Done with reveal.js: https://github.com/hakimel/reveal.js/
The latest slide deck about Java NIO.2 from *instinctools Java developer Alexandr Brui. You can find here Java NIO.2 design, work with data, selector & channels, reading & writing and many more.
Presentation from DevWeek 2014 on task and data parallelism. This session explains the TPL APIs and then covers various scenarios for extracting concurrency, reducing synchronization, putting thresholds on parallelization, and other topics.
queue datastructure made easy and datastructure explained in java. visit http://technoexplore.blogspot.com and http://hotjobstuff.blogspot.com for some other important presentations.
In Class AssignmetzCST280W13a-1.pdfCST 280 In-Class Pract.docxbradburgess22840
In Class Assignmetz/CST280W13a-1.pdf
CST 280 In-Class Practice – Week 13
Manually determine the configuration of the priority queue (stored as a heap) created
by the following operations. Trace the following logic and define the output:
enqueue(7);
enqueue(17);
enqueue(2);
enqueue(5);
enqueue(22);
enqueue(19);
enqueue(6);
enqueue(11);
enqueue(13);
write the queue contents
dequeue and write front item
enqueue(15);
enqueue(8);
dequeue and write front item
dequeue and write front item
enqueue(24);
enqueue(14);
write the queue contents
Part 2
Then, verify the output by implementing the algorithm by rewriting the priority
queue demonstration program discussed in class. Files needed:
testPQueue.cpp pqType.h heap.cpp
Deliverables
• This cover sheet (with your names on it)
• Driver source code and output for verification program exectution.
In Class Assignmetz/CST280W13b.pdf
CST 280 In-Class Practice – Week 13
Use this page as a worksheet to sketch the progression of the elements up to the first
split for the QuickSort algorithm. Use the middle array element as the split value:
15 34 99 42 11 41 66 23 55 93 48
Next, access the file quickSort.cpp from the course web page. Tailor the program
by entering the array values above in place of the integer values used for an in-class
demonstration. Be sure to adjust the index range to match the size of this array.
Remember that the parameters to the QuickSort algorithm are starting and ending index
values, not the size of the array.
Next, insert code to demonstrate the state of the array after the first split. This should
verify what you did by hand above. Insert the following code at various points within
the partition function to “see” the array at various stages of processing:
for (int i = start; i <= end; i++) // <== ADD
cout << set[i] << ' ';
cout << endl;
Insert the code at these positions:
int partition(int set[], int start, int end)
{
int pivotValue, pivotIndex, mid;
mid = (start + end) / 2;
swap(set[start], set[mid]);
pivotIndex = start;
pivotValue = set[start];
ç HERE
for (int scan = start + 1; scan <= end; scan++)
{
if (set[scan] < pivotValue)
{
pivotIndex++;
swap(set[pivotIndex], set[scan]);
}
ç HERE
}
swap(set[start], set[pivotIndex]);
ç HERE
return pivotIndex;
}
Finally, identify the line that matches what you concluded above.
Deliverables:
Deliver the following for this assignment:
• This work sheet with a sketch of the array first split
• Program source code with required change
• Program output demonstrating array configuration after first split .
MongoDB is the trusted document store we turn to when we have tough data store problems to solve. For this talk we are going to go a little bit off the path and explore what other roles we can fit MongoDB into. Others have discussed how to turn MongoDB’s capped collections into a publish/subscribe server. We stretch that a little further and turn MongoDB into a full fledged broker with both publish/subscribe and queue semantics, and a the ability to mix them. We will provide code and a running demo of the queue producers and consumers. Next we will turn to coordination services: We will explore the fundamental features and show how to implement them using MongoDB as the storage engine. Again we will show the code and demo the coordination of multiple applications.
In java , I want you to implement a Data Structure known as a Doubly.pdfaromalcom
In java , I want you to implement a Data Structure known as a Doubly-Ended-Queue. it is a
“fair” data structure in that it implements a FIFO (First In First Out ) behavior. As such, it is
often used to implement various wait lists in computer systems. For example, jobs waiting to use
the CPU, jobs waiting for a printer, jobs waiting to be placed into RAM for execution. In short,
whenever we want a fair strategy for waiting we use queues.
A DEQUE (Doubly-ended-queue) is a related data structure. Although similar to a Queue, it
differs in that it allows for insertions AND deletions from either end of the list (both the front
and the rear).
Your implementation MUST use a doubly-linked-list implementation. You may not use a static
array implementation.
Thus, a Deque is a List but it is one which only concerns itself with the first and last positions for
any insertion or deletion. The 6 operations supported are :
public void insertFront( int item ) - insert the given item (as a node) into the first position of the
Deque.
public void insertRear( int item ) - insert the given item (as a node) into the last position of the
Deque.
public int deleteFront( ) - delete and return the element stored in the first node of the Deque.
public int deletRear( ) – delete and return the element stored in the last node of the Deque.
public boolean isempty( ) - returns true if the Deque is currently empty or false if it is not.
public void printDeque( ) - print the integers from the list, one per line, from the first element
through to the last in order.
Classes
Your program must implement the following 3 classes. public class dequeDriver
This class will contain your program’s main method. It will need to declare a deque object and
process input as indicated below.
Your program should prompt the user for the path of an input file. It should open the file for
input and process it line by line. Each line of the input file will have one of the following forms.
PR
IF
IR
DF
DR
The meanings of each input is as follows:
PR - print the current contents of the deque from front to rear using the printDeque( ) method of
the deque object.
IF - insert the given int value into the front of the deque.
IR - insert the given int value into the rear of the deque.
DF - delete the front value from the deque.
DR – delete the rear element of the deque.
Below is an example input file that your program should be able to process.
PR
IF 4
IF 5
IF 6
IR 7
PR
DR
PR
DF
PR
The output for the input file shown above is :
EMPTY DEQUE
----- Front -----
6
5
4
7
----- Rear -----
----- Front -----
6
5
4
----- Rear -----
----- Front -----
5
4
----- Rear -----
public class dequeNode
This class will implement the linked nodes that will be used to implement the deque itself.
It should have the following protected data members.
protected dequeNode next; // next pointer to next node
protected dequeNode prev; // previous pointer to previous node
protected int val; // the integer value stored within the dequeNod.
Using c++Im also using a the ide editor called CodeLiteThe hea.pdffashiongallery1
Typed out please In a short and simple response comment on this persons answer for masonry
work Additives combined with concrete to achieve certain properties are called what? Name a
few that would benefit the Engineer and Customer.
Response - Additives to concrete are utilized to provide certain benefits when placing concrete.
These additives called \"Admixtures\" can be used to speed up the curing process, slow down the
curing process, or help in working with concrete during cold temperatures. Retarders can be
added to concrete to slow down curing. Accelerators can be used to speed up the curing. The
most advanced additive is the Air-entrainment agent which gives mason the ability to work with
concrete in colder months.
Typed out please In a short and simple response comment on this persons answer for masonry
work Additives combined with concrete to achieve certain properties are called what? Name a
few that would benefit the Engineer and Customer.
Response - Additives to concrete are utilized to provide certain benefits when placing concrete.
These additives called \"Admixtures\" can be used to speed up the curing process, slow down the
curing process, or help in working with concrete during cold temperatures. Retarders can be
added to concrete to slow down curing. Accelerators can be used to speed up the curing. The
most advanced additive is the Air-entrainment agent which gives mason the ability to work with
concrete in colder months.
Response - Additives to concrete are utilized to provide certain benefits when placing concrete.
These additives called \"Admixtures\" can be used to speed up the curing process, slow down the
curing process, or help in working with concrete during cold temperatures. Retarders can be
added to concrete to slow down curing. Accelerators can be used to speed up the curing. The
most advanced additive is the Air-entrainment agent which gives mason the ability to work with
concrete in colder months.
Solution
The response of the person is good. He/she explained the admixtures and their applications pretty
well and also explained accelators, retarders and air entertainment in a simple straight forward
fashion.Overall i would say that the answer is satisfactory.
I will like to add \"PLASTICIZERS\" in the list of admixtures that would benefit the engineer
and customer. Plasticizers are water reducing admixtures and are added to the concrete mix for
making it more plastic without any further addition of water. In other words, they reduce the
quantity of water required to make concrete mixture of better plasticity.
PLEASE HIT LIKE BUTTON IF YOU FIND MY ANSWER SATISFACTORY.
THANK YOU..
DevOps and Testing slides at DASA ConnectKari Kakkonen
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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2. cQueue is a container class that acts as a queue.
The basic cQueue member functions:
insert(obj), inserts an object into the queue head.
pop(), returns and removes object from the front.
remove(obj), removes that object from the queue.
length(), returns the number of items in the queue.
empty(), tells whether there is anything in the queue.
insertBefore(obj_where, obj_what)
insertAfter(obj_where, obj_what)
front(), returns pointer to the object at the front.
back() , returns pointer to the object at the back.
4. cArray is a container class that holds objects derived from cObject.
cArray works as an array, but it grows automatically when it becomes
full.
The basic usage:
cArray array("array"); // Creating an array
int index = array.add( obj ); // Adding an object
int index = array.find(obj);// Finding an object
array.remove (obj)// Remove an object
Iteration
for (int i=0; i<array.size(); i++)
{
if (array[i]) // is this position used?
{
}
}
5. There are two main types of outputs: vectors and
scalars.
output vectors are to record time series data and
output scalars are supposed to record a single value per
simulation run.
Let’s record the node power after every transmission
operation. To do that add the following:
1. cOutVector TxEnergy;// in Node.h
2. TxEnergy.setName("NodePower");// in Node.cc (initialize())
3. TxEnergy.record(energy);// after updating node energy
Save, build, and run.
6. A folder called “results” will be generated.
Click one of VEC files to generate an analysis file (.anf).
Select “result” as parent folder -> name it-> click finish.
7. Click Wildcard to add all other VEC files in single ANF
file.
Browse data to get the following results
8. You may want to record the distribution as a histogram
(not as a time series).
Syntax: cHistogram hData;
hData.collect(value);// to insert a new value.
Other functions can be used to get the statics, for
example:
hData.getCount(), hData.getMin(),
hData.getMax(), hData.getMean(),
hData.getStddev(), hData.getVariance(),
hData.getSum(), hData.getSqrSum().
9. Let’s record node life time, which is the time that a
node takes before it dies:
1. At Node.h
2. At Node.cc
10. Save, Build and run
Play with the properties to get:
11. An eventlog file contains a log of messages sent during
the simulation and the details of events that prompted
their sending or reception.
The Sequence Chart displays eventlog files in a
graphical form.
Add: record-eventlog = true # In omnetpp.ini
Save and run.
12. ELOG files will be generated.
Double-Click one of them to watch the sequence chart.