Improved Parallel Prefix Algorithm on OTIS-Mesh of TreesIDES Editor
A parallel algorithm for prefix computation reported
recently on interconnection network called OTIS-Mesh Of
Trees[4]. Using n4 processors, algorithm shown to run in 13log
n + O(1) electronic moves and 2 optical moves for n4 data
points. In this paper we present new and improved parallel
algorithm for prefix on OTIS-Mesh of Trees. The algorithm
requires 10log n + O(1) electronic steps + 1 optical step for
prefix computation on the same number of processors and
data points as considered in [4].
Based on correlation coefficient in image matchingIJRES Journal
With the development of image technology, the application of image technology in industrial
manufacturing become more and more widely. Image matching is animportantbranch of the image processing,
and also it is very important in the process of industrial detection. The main purpose of this paper is aiming at
the traditional image correlation matching algorithm in the application of detection in industrial, which based
on similarity matching principle. This paper is going to discuss the similarity of the image matching algorithm
on the application of detection in the connector. This paper improves the algorithm to speed up the detection
velocity. In some specific circumstance, while correlation coefficient method is more simple and easy to use, the
software development cycle will be short.
Improved Parallel Prefix Algorithm on OTIS-Mesh of TreesIDES Editor
A parallel algorithm for prefix computation reported
recently on interconnection network called OTIS-Mesh Of
Trees[4]. Using n4 processors, algorithm shown to run in 13log
n + O(1) electronic moves and 2 optical moves for n4 data
points. In this paper we present new and improved parallel
algorithm for prefix on OTIS-Mesh of Trees. The algorithm
requires 10log n + O(1) electronic steps + 1 optical step for
prefix computation on the same number of processors and
data points as considered in [4].
Based on correlation coefficient in image matchingIJRES Journal
With the development of image technology, the application of image technology in industrial
manufacturing become more and more widely. Image matching is animportantbranch of the image processing,
and also it is very important in the process of industrial detection. The main purpose of this paper is aiming at
the traditional image correlation matching algorithm in the application of detection in industrial, which based
on similarity matching principle. This paper is going to discuss the similarity of the image matching algorithm
on the application of detection in the connector. This paper improves the algorithm to speed up the detection
velocity. In some specific circumstance, while correlation coefficient method is more simple and easy to use, the
software development cycle will be short.
Parte 3 do livro "Monitoramento e Pesquisa em Mídias Sociais: Metodologias, aplicações e inovações"
Baixe completo em http://www.ibpad.com.br/publicacoes/livro/monitoramento-e-pesquisa-em-midias-sociais-metodologias-aplicacoes-e-inovacoes?utm_medium=redes&utm_source=sld&utm_campaign=livro&utm_content=421
Ancient History (1st to 9th centuries) – Tamil Nadu was ruled by Early Cholas between 01st to 04th century. During later half of 04th century Pallavas emerged into prominence and dominated for 400 years.
Medieval History (9th to 15th centuries) – Cholas rose as a strong power in 09th century. Pandyas emerged in early 14th century and in later 14th century a new kingdom was built called Vijayanagr empire.
Modern History (17th -19th century) -The British, under the British East India Company, established a settlement further south, in present day Chennai, in the year 1639.
FOCUS K3D - Foster the Comprehension and Use of Knowledge intensive 3D media
Newsletter 4 (February 2010), download at
http://www.focusk3d.eu/downloads
FOCUS K3D is a Coordination Action (CA) of the European Union's 7th Framework Programme which aims at promoting the adoption of best-practices for the use of semantics in 3D content modelling and processing. This flyer gives an overview of the whole project.
You can download this document at
http://www.focusk3d.eu/downloads
FOCUS K3D is a Coordination Action (CA)which aims at promoting the adoption of best-practices for the use of semantics in 3D content modelling and processing. This slide set gives an overview of the Application Working Group (AWG) CAD/CAE and Virtual Product Modelling.
You can download these slides at
http://www.focusk3d.eu/downloads
Parte 3 do livro "Monitoramento e Pesquisa em Mídias Sociais: Metodologias, aplicações e inovações"
Baixe completo em http://www.ibpad.com.br/publicacoes/livro/monitoramento-e-pesquisa-em-midias-sociais-metodologias-aplicacoes-e-inovacoes?utm_medium=redes&utm_source=sld&utm_campaign=livro&utm_content=421
Ancient History (1st to 9th centuries) – Tamil Nadu was ruled by Early Cholas between 01st to 04th century. During later half of 04th century Pallavas emerged into prominence and dominated for 400 years.
Medieval History (9th to 15th centuries) – Cholas rose as a strong power in 09th century. Pandyas emerged in early 14th century and in later 14th century a new kingdom was built called Vijayanagr empire.
Modern History (17th -19th century) -The British, under the British East India Company, established a settlement further south, in present day Chennai, in the year 1639.
FOCUS K3D - Foster the Comprehension and Use of Knowledge intensive 3D media
Newsletter 4 (February 2010), download at
http://www.focusk3d.eu/downloads
FOCUS K3D is a Coordination Action (CA) of the European Union's 7th Framework Programme which aims at promoting the adoption of best-practices for the use of semantics in 3D content modelling and processing. This flyer gives an overview of the whole project.
You can download this document at
http://www.focusk3d.eu/downloads
FOCUS K3D is a Coordination Action (CA)which aims at promoting the adoption of best-practices for the use of semantics in 3D content modelling and processing. This slide set gives an overview of the Application Working Group (AWG) CAD/CAE and Virtual Product Modelling.
You can download these slides at
http://www.focusk3d.eu/downloads
FOCUS K3D is a Coordination Action (CA) of the European Union's 7th Framework Programme which aims at promoting the adoption of best-practices for the use of semantics in 3D content modelling and processing. This slide set gives an overview of the whole project.
You can download these slides at
http://www.focusk3d.eu/downloads
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
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
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
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!
Elevating Tactical DDD Patterns Through Object Calisthenics
3AMIGAS - Paper4: Rosario De Chiara
1. Alberto Boccardo, Rosario De Chiara, Vittorio Scarano
ISISLab
Dipartimento di Informatica ed Applicazioni “R.M. Capocelli”
Università degli Studi di Salerno
2. Agenda
• Introduction
• Boid Model
• Coordinated movement
• Conclusion
3. Introduction
• The simulation of groups of characters moving
in a virtual world is a topic that has been
investigated since the 1980s.
– Early works take inspiration from particles system
[3, 4]
4. Introduction
Gravity
Initial Aging
velocity
Emitter Death
5. Introduction
• The particle system model can be expanded
with the purpose of simulating a group of
more complex entities, dubbed autonomous
agents:
– Movements are related to social interactions
among group members:
• Example: the simulation a flock (e.g. birds, fishes,
aliens, people…) in the most natural possible way.
6. Introduction
Gravity
Social
interactions
Initial Aging
velocity
Emitter Death
Fly Aging
around
Birth Death
7. Introduction
We implemented a system capable of animating
autonomous agents with the purpose of
reconstructing interactive scenes from a
battlefield showing a number platoons
11. The Idea
• We expanded the boid model in order to reach an
higher degree of complexity of the behaviors:
– The initial idea of simulating a flock of boids will
be expanded to simulate platoons of soldiers
obeying to commands imparted by a leader.
12. Boid model
• The boid model simulates the coordinated
animal motion such as bird flocks and fish
schools
– The basic flocking model consists of three
simple steering behaviors which describe how an
individual boid maneuvers based on the positions
and velocities its nearby flockmates:
Separation Alignment Cohesion
13. Boid model
• The boid model can be expanded by
assembling basic behaviors to obtain more
complex behaviors:
– Seek and Flee
– Pursuit and Evade
– Obstacle Avoidance
Seek and Flee Pursuit and Evade Obstacle avoidance
14. Boid model
Enemy pursuit, shooting, Combat
evasion commands
L/R flank, L/R Face, March Directional
forward, at ease commands
Flee, Pursuit, Offset Flee, Pursuit, Offset Basic
Pursuit, Seek, Evade Pursuit, Seek, Evade behaviors
Alignment, Separation, Alignment, Separation, Alignment, Separation, Boid model
Cohesion Cohesion Cohesion behaviors
Reynolds 1987 [3] Reynolds 1988 This paper
Reynolds 1999 [4]
15. Coordinated movement
Our system handles 4 elements that made up a
simulation:
– The map: an heightmap
– Obstacles: solid 3d objects
– The Leader: one unit per platoon in charge of the
decisions on directions and battle
– Units: soldier divided in one or more platoons
16. Coordinated movement
The leader
• The leader knows the path the platoon has to
follow and will impart suitable commands to
units
– The path is just a sequence of checkpoints
17. Coordinated movement
The leader
To choose the correct directional command the
leader compares platoon current direction
and the position of next checkpoint on path
Forward
Next march
checkpoint Right
direction flank
Platoon front
Right
face
Rear
march
18. Coordinated movement
Assembling Behaviors
Each directional command
is translated to a series
SCRIPT
SCRIPT
of basic behaviors
LEADER
Fall in
Forward march
Right flank
Left flank
UNITS
AVOIDANCE
AVOIDANCE
ROTATION
OBSTACLE
PURSUIT
OFFSET
OFFSET
SEEK
SEEK
FLEE
BASIC BEHAVIORS LIBRARY
19. Coordinated movement
Combat Mode
• The system simulates scenarios in which two
or more adversary platoons are present
– Each platoon belongs to an army; this is used to
discriminate among friend and foe platoons
– Soldiers deploy one out of three available models
of weapons: melee weapon model, mortar
weapon model and rifle weapon model;
20. Coordinated movement
Combat Mode
• Once an enemy platoon is visible by the leader
tells the platoon to switch to combat mode
– Each soldiers will decide on its own when to shoot
and who to aim to, depending on its position and
the model of weapon it is deploying
21. Conclusion
• Massive Battle is a framework
– Written in C++
– Scenarios are described by a script file
• The script file contains a full description of the initial
setting of the parameters for each platoon
• Once a file is parsed the simulation starts
– Every behavior is controlled by
configuration/script files
22. Conclusion
• Massive Battle is a framework
– Does not depends on how the scene is rendered
• Current demo uses Ogre3D
– It uses a library of basic behaviors
• Took from [11]
• It is compatible with OpenSteer
23. Conclusion
Performances
• On a off-the-shelf PC:
– AMD Athlon 64 x2 4200+
– 2GB of RAM
– ATI X1900 with 512MB
The system animates a scene containing 3000
units on an interactive framerate of 25 fps
24. Conclusion
Future Work
• We are currently working at a GPU
accellerated version of the system
– You may want to check :
“A GPU-based Method for Massive Simulation of
Distributed Behavioral Models with CUDA”
Ugo Erra, Bernardino Frola, Vittorio Scarano
CASA09 short paper !! ☺
26. References [1]
[1] Couzin ID, Krause J, Franks NR, Levin SA. Nature. 2005 Feb 3;433(7025):513-6.
Effective leadership and decision-making in animal groups on the move.
[2] USA Marine Corps Drill and Ceremonies Manual MCO P5060.20
[3] Reeves, W., T., “Particle Systems-A Technique for Modeling a Class of Fuzzy
Objects”, ACM Transactions on Graphics, V2–2, April 1983. and reprinted in
Computer Graphics. V17–3, July 1983, (ACM SIGGRAPH ’83 Proceedings), pp. 359-
376.
[4] Reynolds C. Flocks, herds and schools: a distributed behavioral model. In
SIGGRAPH’87: Proceedings of the 14th Annual Conference on Computer Graphics
and Interactive Techniques, ACM, New York, NY, USA, 1987.
[5] Reynolds C. Steering behaviors for autonomous characters. In Game Developers
Conference, Miller Freeman Game Group, San Francisco, CA, USA, 1999.
[6] Reynolds C. Big fast crowds on PS3. In Sandbox’06: Proceedings of the 2006 ACM
SIGGRAPH Symposium on Videogames, ACM, New York, NY, USA, 2006.
[7] http://opensteer.sourceforge.net/
27. References [2]
[8] Balch T, Hybinette M. Social potentials for scalable multirobot formations. In IEEE
International Conference on Robotics and Automation (ICRA 2000), San Francisco,
2000.
[9] Kamphuis A., Overmars M. H. Motion planning for coherent groups of entities. In
IEEE Int. Conf. on Robotics and Automation. IEEE Press, San Diego, CA, 2004.
[10] Silveira, R., Prestes, E., and Nedel, L. P. 2008. Managing coherent groups. Comput.
Animat. Virtual Worlds 19, 3-4 (Sep. 2008), 295-305.
[11] Buckland M. Programming Game AI by Example. Wordware Publishing, 2005.
[12] Massive software http://www.massivesoftware.com. Accessed on May 2009.
[13] Pro OGRE 3D Programming, (Gregory Junker).
[14] R. De Chiara, U. Erra, M. Tatafiore and V. Scarano. Massive simulation using GPU
of a distributed behavioral model of a flock with obstacle avoidance. Proceedings
of Vision, Modeling, and Visualization 2004 (VMV 2004) (Stanford - California, USA,
Nov 16 - 18, 2004). pp. 233-240.