This document discusses coordinating resource-constrained devices through a distributed semantic space. It proposes adapting tuple space coordination middleware for these devices by:
1. Delegating knowledge dissemination to intermediaries to reduce the load on small devices.
2. Making the middleware compatible with REST and the Web of Things by providing semantic content over REST interfaces.
3. Designing an energy-aware architecture where devices take on roles like clue providers depending on their capacities, and communicate indirectly through an intermediary to reduce energy usage.
Hybrid Approach for Robust Digital Video WatermarkingIJSRD
With the growing popularity of internet and digital media, digital watermarking techniques have been developed to protect the copyright of multimedia objects such as text, audio, video, etc. So, we have proposed a hybrid video watermarking technique which takes the advantages of different transforms like DWT, DCT, SVD and Arnold Transform, which enhances more security and provides robustness to the watermark. In this paper method, video is divided into several groups of frames, and one of the frames is selected where watermark will be embedded. Before embedding watermark in a selected frame it will be pre-processed with Arnold Transform which will provide security to it. The selected plane of video frame are decomposed using DWT and high frequency band HH, middle frequency bands LH, HL are transformed with DCT. The DCT coefficients are SVD transformed which are embedded with corresponding transformed coefficients of watermarks along with Arnold Transform. The embedded watermark is extracted with inverse process of embedding. The proposed algorithm is tested with various video sequences using MATLAB 2013a. The distortion quality of original image and watermark is controlled by the Peak Signal to Noise Ratio, Signal to Noise Ratio and Mean square error of the watermarked frame with original frame.
Crocotta R&D - Alternate Reality - a Virtual World made of ParticlesCrocotta RD Limited
In the last few years, particle-based object representations have proven to be a flexible and efficient alternative to mesh-based surface representations. In fact, particles are more suited to imitate real-world phenomena, as real-world matter is composed of extremely small particles called atoms and not of mesh-based surfaces.
We present a novel method (a set of sub-methods) to the quasi-real-time synthesis, compression, simulation, and visualization of virtual matter, and of virtualized environments in high-resolution with the living cell being the smallest visible element.
Fields of Application: Entertainment, Medicine, Prediction & early warning, Industrial material development & testing, Astrophysics.
Digital watermarking has been proposed as a solution to the problem of copyright protection of
multimedia documents in networked environments. There are two important issues that watermarking
algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for
protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of
robustness and resist distortions due to common image manipulations (such as filtering, compression,
etc.). In this paper, a watermarking algorithm is proposed based on the Discrete Wavelet Transform
(DWT), Fractional Fourier Transform (FrFT) and Singular value decomposition (SVD). Analysis and
experimental results show that the proposed watermarking method performs well in both security and
robustness.
DUNE on current and next generation HPC PlatformsMarkus Blatt
In this talk we present the Distributed and Unified Numerics
Environment (DUNE). It is a software framework for the parallel
numerical solution of partial differential equations with grid-based
methods. Using generic programming techniques it strives for both:
high flexibility (efficiency of the programmer) and high performance
(efficiency of the program).
We present parallel applications realized with DUNE and
show their scalability on current HPC platforms such as the Blue
Gene/P system in Jülich.
Finally we will take a closer look on hardware attributes that
influence the scalability of DUNE and software solving partial
differential equations in general. We investigate how DUNE will
perform on future hardware like Blue Gene/Q.
Special emphasis will be put on the performance of parallel
iterative solvers both in general and in DUNE.
DWT-SVD Based Visual Cryptography Scheme for Audio Watermarkinginventionjournals
Secured access to the Internet and data resources has a high impact in defense system. This dependency has brought many threats to information security. As aresult, reliably secure mechanisms are required to protect most untold and blueprint of defenseinformation against vulnerabilities like ID spoofing and unauthorized access to top most system of country. In this paper, we proposed algorithm based on audio watermarking using DWT-SVD algorithm with visually crypted image message. The army people may have access to listen radio and communicate through walkie talkie which is audio format data. In proposed work we are hiding visually crypted image massage in audio file which may decrypted by proving shared image and extracted watermark image without affecting original audio. We did comparative analysis of various attacks on audio file after watermarking and calculated robustness and SNR value to support out work.
Hybrid Approach for Robust Digital Video WatermarkingIJSRD
With the growing popularity of internet and digital media, digital watermarking techniques have been developed to protect the copyright of multimedia objects such as text, audio, video, etc. So, we have proposed a hybrid video watermarking technique which takes the advantages of different transforms like DWT, DCT, SVD and Arnold Transform, which enhances more security and provides robustness to the watermark. In this paper method, video is divided into several groups of frames, and one of the frames is selected where watermark will be embedded. Before embedding watermark in a selected frame it will be pre-processed with Arnold Transform which will provide security to it. The selected plane of video frame are decomposed using DWT and high frequency band HH, middle frequency bands LH, HL are transformed with DCT. The DCT coefficients are SVD transformed which are embedded with corresponding transformed coefficients of watermarks along with Arnold Transform. The embedded watermark is extracted with inverse process of embedding. The proposed algorithm is tested with various video sequences using MATLAB 2013a. The distortion quality of original image and watermark is controlled by the Peak Signal to Noise Ratio, Signal to Noise Ratio and Mean square error of the watermarked frame with original frame.
Crocotta R&D - Alternate Reality - a Virtual World made of ParticlesCrocotta RD Limited
In the last few years, particle-based object representations have proven to be a flexible and efficient alternative to mesh-based surface representations. In fact, particles are more suited to imitate real-world phenomena, as real-world matter is composed of extremely small particles called atoms and not of mesh-based surfaces.
We present a novel method (a set of sub-methods) to the quasi-real-time synthesis, compression, simulation, and visualization of virtual matter, and of virtualized environments in high-resolution with the living cell being the smallest visible element.
Fields of Application: Entertainment, Medicine, Prediction & early warning, Industrial material development & testing, Astrophysics.
Digital watermarking has been proposed as a solution to the problem of copyright protection of
multimedia documents in networked environments. There are two important issues that watermarking
algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for
protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of
robustness and resist distortions due to common image manipulations (such as filtering, compression,
etc.). In this paper, a watermarking algorithm is proposed based on the Discrete Wavelet Transform
(DWT), Fractional Fourier Transform (FrFT) and Singular value decomposition (SVD). Analysis and
experimental results show that the proposed watermarking method performs well in both security and
robustness.
DUNE on current and next generation HPC PlatformsMarkus Blatt
In this talk we present the Distributed and Unified Numerics
Environment (DUNE). It is a software framework for the parallel
numerical solution of partial differential equations with grid-based
methods. Using generic programming techniques it strives for both:
high flexibility (efficiency of the programmer) and high performance
(efficiency of the program).
We present parallel applications realized with DUNE and
show their scalability on current HPC platforms such as the Blue
Gene/P system in Jülich.
Finally we will take a closer look on hardware attributes that
influence the scalability of DUNE and software solving partial
differential equations in general. We investigate how DUNE will
perform on future hardware like Blue Gene/Q.
Special emphasis will be put on the performance of parallel
iterative solvers both in general and in DUNE.
DWT-SVD Based Visual Cryptography Scheme for Audio Watermarkinginventionjournals
Secured access to the Internet and data resources has a high impact in defense system. This dependency has brought many threats to information security. As aresult, reliably secure mechanisms are required to protect most untold and blueprint of defenseinformation against vulnerabilities like ID spoofing and unauthorized access to top most system of country. In this paper, we proposed algorithm based on audio watermarking using DWT-SVD algorithm with visually crypted image message. The army people may have access to listen radio and communicate through walkie talkie which is audio format data. In proposed work we are hiding visually crypted image massage in audio file which may decrypted by proving shared image and extracted watermark image without affecting original audio. We did comparative analysis of various attacks on audio file after watermarking and calculated robustness and SNR value to support out work.
A highly robust and secure image watermarking based on classification and vis...AliFatahbeygi
In this paper a new robust image watermarking algorithm based on blocks classification and visual cryp tography (VC) is presented. First the original image is decomposed into non-overlapping blocks. Then, we use canny edge detection and the support vector machine (SVM) classification method to categorize these blocks into smooth and non-smooth classes. The VC technique is used to generate two image shares: A
master share that is constructed according to the block classification results and an owner share generated by using the master share together with a binary watermark. To verify the ownership of the image the watermark can be retrieved by stacking the master share and the owner share. By skipping blocks which are not robust against attacks, the robustness of our proposed watermarking method is significantly improved. Our method is completely imperceptible because the watermark pattern is concealed without modifying the original host image.
Bringing 3D, Ultra-Resolution, and Virtual Reality into the Global LambaGrid ...Larry Smarr
07.11.07
Keynote
ACM Virtual Reality Software and Technology (VRST)
Title: Bringing 3D, Ultra-Resolution, and Virtual Reality into the Global LambaGrid Collaboratory
Newport, CA
In this era any type of digital media such as image, text, audio and video, all are easily accessible and transferable through the use of high speed internet. As the use of internet increased, the need of security and authenticity also increased. To secure the multimedia data such as image, audio, text and video researcher has developed a watermarking technique which gives a watermark embedding and watermark extraction algorithm, and later it is used for proof of ownership. Here we are proposing a technique on video watermarking using 2D DWT and 2-level SVD technique. In this paper first we are taking a video which is decomposed into number of frames and embedding a watermark image on each frame. First 2-D DWT is applied on each frame. Dwt decompose each frame into low frequency, mid frequency and in high frequency (LL, LH, HL, HH) band then we applied SVD on LL and HL sub-band called it dual band. SVD convert it into three matrices as U1S1V1’ of single matrix. A watermark image is taken which converted in to gray scale from RGB scale then resized it. And embed this watermark image into host frames with some scaling factor. After that we again applied SVD on this watermarked frames which further convert this single matrix into three matrices as U2S2V2’ now multiply S2 matrix with U1 and V1 matrix component to make it more secure. To demonstrate the authenticity of this watermarked video we applied some attacks such as Gaussian filtering, median filtering, frame rotation, contrast adjustment and sharpness attack which show its PSNR and NCC value in comparison with the original video.
Deep neural networks have revolutionized the data analytics scene by improving results in several and diverse benchmarks with the same recipe: learning feature representations from data. These achievements have raised the interest across multiple scientific fields, especially in those where large amounts of data and computation are available. This change of paradigm in data analytics has several ethical and economic implications that are driving large investments, political debates and sounding press coverage under the generic label of artificial intelligence (AI). This talk will present the fundamentals of deep learning through the classic example of image classification, and point at how the same principal has been adopted for several tasks. Finally, some of the forthcoming potentials and risks for AI will be pointed.
These slides summarize the main trends in deep neural networks for video encoding. Including single frame models, spatiotemporal convolutionals, long term sequence modeling with RNNs and their combinaction with optical flow.
A NOVEL APPROACH FOR IMAGE WATERMARKING USING DCT AND JND TECHNIQUESijiert bestjournal
Today�s world is digital world. Nowadays,in every field there is enormous use of digital contents. Information handled on internet and multimedia netw ork system is in digital form. The copying of digital content without quality loss is not so diff icult. Due to this,there are more chances of copyi ng of such digital information. So,there is great need o f prohibiting such illegal copyright of digital med ia. Digital watermarking is the powerful solution to ad dress this problem. Digital watermarking is the technology in which there is embedding of various t ypes of information in digital content which we have to protect from illegal copying. This embedded information to protect the data is embedded as watermark. This paper introduces two novel techniqu es for image watermarking such as DCT and JND. The DCT based approach adapted to embed waterm arks in DC,low,mid and high frequency components coefficient of DCT. The JND based approa ch gives robust and transparent scheme of watermarking that exploits the �human visual system s� sensitivity to local image characteristics obtained from the spatial domain,improving upon th e content based image watermarking scheme.
A Blind Multiple Watermarks based on Human Visual Characteristics IJECEIAES
Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal U matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize crosscorrelation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks.
https://mcv-m6-video.github.io/deepvideo-2019/
Overview of deep learning solutions for video processing. Part of a series of slides covering topics like action recognition, action detection, object tracking, object detection, scene segmentation, language and learning from videos.
A highly robust and secure image watermarking based on classification and vis...AliFatahbeygi
In this paper a new robust image watermarking algorithm based on blocks classification and visual cryp tography (VC) is presented. First the original image is decomposed into non-overlapping blocks. Then, we use canny edge detection and the support vector machine (SVM) classification method to categorize these blocks into smooth and non-smooth classes. The VC technique is used to generate two image shares: A
master share that is constructed according to the block classification results and an owner share generated by using the master share together with a binary watermark. To verify the ownership of the image the watermark can be retrieved by stacking the master share and the owner share. By skipping blocks which are not robust against attacks, the robustness of our proposed watermarking method is significantly improved. Our method is completely imperceptible because the watermark pattern is concealed without modifying the original host image.
Bringing 3D, Ultra-Resolution, and Virtual Reality into the Global LambaGrid ...Larry Smarr
07.11.07
Keynote
ACM Virtual Reality Software and Technology (VRST)
Title: Bringing 3D, Ultra-Resolution, and Virtual Reality into the Global LambaGrid Collaboratory
Newport, CA
In this era any type of digital media such as image, text, audio and video, all are easily accessible and transferable through the use of high speed internet. As the use of internet increased, the need of security and authenticity also increased. To secure the multimedia data such as image, audio, text and video researcher has developed a watermarking technique which gives a watermark embedding and watermark extraction algorithm, and later it is used for proof of ownership. Here we are proposing a technique on video watermarking using 2D DWT and 2-level SVD technique. In this paper first we are taking a video which is decomposed into number of frames and embedding a watermark image on each frame. First 2-D DWT is applied on each frame. Dwt decompose each frame into low frequency, mid frequency and in high frequency (LL, LH, HL, HH) band then we applied SVD on LL and HL sub-band called it dual band. SVD convert it into three matrices as U1S1V1’ of single matrix. A watermark image is taken which converted in to gray scale from RGB scale then resized it. And embed this watermark image into host frames with some scaling factor. After that we again applied SVD on this watermarked frames which further convert this single matrix into three matrices as U2S2V2’ now multiply S2 matrix with U1 and V1 matrix component to make it more secure. To demonstrate the authenticity of this watermarked video we applied some attacks such as Gaussian filtering, median filtering, frame rotation, contrast adjustment and sharpness attack which show its PSNR and NCC value in comparison with the original video.
Deep neural networks have revolutionized the data analytics scene by improving results in several and diverse benchmarks with the same recipe: learning feature representations from data. These achievements have raised the interest across multiple scientific fields, especially in those where large amounts of data and computation are available. This change of paradigm in data analytics has several ethical and economic implications that are driving large investments, political debates and sounding press coverage under the generic label of artificial intelligence (AI). This talk will present the fundamentals of deep learning through the classic example of image classification, and point at how the same principal has been adopted for several tasks. Finally, some of the forthcoming potentials and risks for AI will be pointed.
These slides summarize the main trends in deep neural networks for video encoding. Including single frame models, spatiotemporal convolutionals, long term sequence modeling with RNNs and their combinaction with optical flow.
A NOVEL APPROACH FOR IMAGE WATERMARKING USING DCT AND JND TECHNIQUESijiert bestjournal
Today�s world is digital world. Nowadays,in every field there is enormous use of digital contents. Information handled on internet and multimedia netw ork system is in digital form. The copying of digital content without quality loss is not so diff icult. Due to this,there are more chances of copyi ng of such digital information. So,there is great need o f prohibiting such illegal copyright of digital med ia. Digital watermarking is the powerful solution to ad dress this problem. Digital watermarking is the technology in which there is embedding of various t ypes of information in digital content which we have to protect from illegal copying. This embedded information to protect the data is embedded as watermark. This paper introduces two novel techniqu es for image watermarking such as DCT and JND. The DCT based approach adapted to embed waterm arks in DC,low,mid and high frequency components coefficient of DCT. The JND based approa ch gives robust and transparent scheme of watermarking that exploits the �human visual system s� sensitivity to local image characteristics obtained from the spatial domain,improving upon th e content based image watermarking scheme.
A Blind Multiple Watermarks based on Human Visual Characteristics IJECEIAES
Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal U matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize crosscorrelation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks.
https://mcv-m6-video.github.io/deepvideo-2019/
Overview of deep learning solutions for video processing. Part of a series of slides covering topics like action recognition, action detection, object tracking, object detection, scene segmentation, language and learning from videos.
Augmented Collective Digital Twins for Self-Organising Cyber-Physical SystemsRoberto Casadei
Context. Self-organising and collective computing
approaches are increasingly applied to large-scale cyber-physical
systems (CPS), enabling them to adapt and cooperate in dynamic
environments. Also, in CPS engineering, digital twins are often
leveraged to provide synchronised logical counterparts of physical
entities, whereas in sensor networks the different-but-related
concept of virtual device is used e.g. to abstract groups of sensors.
Vision. We envision the design concept of “augmented collective
digital twin” that captures digital twins at a collective level
extended with purely virtual devices. We argue that this concept
can foster the engineering of self-organising CPS by providing a
holistic, declarative, and integrated system view.
Method. From a review and proposed taxonomy of logical
devices comprehending both digital twins and virtual devices,
we reinterpret a meta-model for self-organising CPSs and discuss
how it can support augmented collective digital twins. We illus-
trate the approach in a crowd-aware navigation scenario, where
virtual devices are opportunistically integrated into the system
to enhance spatial coverage, improving navigation capabilities.
Conclusion. By integrating physical and virtual devices, the
novel notion of augmented collective digital twin paves the way
to self-improving system functionality and intelligent use of
resources in self-organising CPSs.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
La presentación se centrará en la reciente evolución de las arquitecturas de redes de datos, con la transición de paradigmas de control distribuído a control centralizado, con atención a sus causas, beneficios y desafíos. Junto con este cambio de paradigma, y como suplemento a la evolución en el control y gestión de redes de datos, se presentará la incorporación de elementos de optimización en la utilización de equipos físicos acaecida en entornos de infraestructuras de la información (virtualización) aplicada a los componentes de redes y servicios de datos y cómo esta combinación impulsa una transformación sin precedentes en la forma en la que redes y servicios de telecomunicación son concebidos, creados y gestionados. Conceptos relativos a redes definidas por software (SDN), virtualización de funciones de red (NFV), concatenación de servicios, propuestas de arquitectura, estandarización, proyectos de código abierto y la articulación de estas tecnologías en distintos casos de uso serán revisados en la presentación.
Building collaborative Machine Learning platform for Dataverse network. Lecture by Slava Tykhonov (DANS-KNAW, the Netherlands), DANS seminar series, 29.03.2022
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Towards Abundant Do-it-Yourself (DiY) Service Creativity in the Internet-of-T...trappenl
A profound impact of the Web2.0 lies in its power to transform skilled users into service providers, resulting in more complex value networks. As recently traditional “operated” network infrastructure is complemented with huge amounts of connected smart objects (the Internet-of-Things), the same mass creativity can be made applicable to smart, context-enabled services with real-world interactivity, collaboratively created by end users with varying degrees of programming skills. We report on a vision and solutions addressing easy, do-it-yourself service creation by the masses in an Internet-of-Things enabled world, from which we discuss the (i) value networks, (ii) enabling technology framework, and (iii) domain-specific proof-of-concepts.
SERENE 2014 School: Measurement-Driven Resilience Design of Cloud-Based Cyber...SERENEWorkshop
SERENE 2014 School on Engineering Resilient Cyber Physical Systems
Talk: Measurement-Driven Resilience Design of Cloud-Based Cyber-Physical Systems, by Imre Kocsis
"On the complementarity of Triple Spaces and the Web of Things" poster @ WoT2011Open University, KMi
The Internet of Things (IoT) enables communication among real-world things and devices through Internet. So far, IoT research has focused on allowing such communication through different protocols and architectures. Some of these architectural approaches are Web of Things (WoT) and Triple Space (TS) which are both resource oriented architectures. This work analyses and compares both approaches and outlines the scenarios in which they will be more useful. Particularly, it outlines how some of the drawbacks of WoT in the discovery and cooperation aspects may be complemented by integrating with TS.
A Triple Space-Based Semantic Distributed Middleware for Internet of ThingsOpen University, KMi
Presentation of "A Triple Space-Based Semantic Distributed Middleware for Internet of Things" in TouchTheWeb workshop(ICWE2010).
In the Internet of Things several objects with network capabilities are connected over a self-configured
local network with other objects to interact and share knowledge. In this context, the Triple Space approach, where different processes share common semantic knowledge, seems to fit perfectly.
We presented our progress towards a semantic middleware which allows the communication between a wide range of embedded devices in a distributed, decoupled and very expressive manner.
This solution has been tested in a stereotypical deployment scenario showing the promising potential of this approach for local environments.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
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Coordination of Resource-Constrained Devices through a Distributed Semantic Space
1. Coordination of Resource-Constrained Devices through a
Distributed Semantic Space
´
Aitor Gomez-Goiri
DeustoTech - Deusto Institute of Technology, University of Deusto
http://www.morelab.deusto.es
February 20, 2013
12. Tuple Spaces
Coupling
⇓
nodes coordinate writing and reading information in a
common space
Coordination of Constrained devices What do I do? 11 / 42
13. Tuple Spaces
Coupling
⇓
nodes coordinate writing and reading information in a
common space
Location autonomy
Reference autonomy
Time autonomy
Coordination of Constrained devices What do I do? 11 / 42
14. The Semantic Web
Coupling on nodes’ internal data-schema
⇓
Add semantic to achieve
application-level interoperability
Backup
Coordination of Constrained devices What do I do? 12 / 42
16. Tuple Spaces Semantic Web
Mobile
WoT
comp Ubiquitous
computing
17. Challenge
Adapt TSC for resource constrained devices
Coordination of Constrained devices Lightweight TSC middleware 15 / 42
18. Challenge
Adapt TSC for resource constrained devices
1. Knowledge dissemination
2. Compatibility with REST (& the WoT)
Coordination of Constrained devices Lightweight TSC middleware 15 / 42
19. Knowledge dissemination
Too much load for small devices
Delegate into intermediaries
Everything related wih the semantic
Devices manage their own semantic data
Coordination of Constrained devices Lightweight TSC middleware 16 / 42
20. Compatibility with the WoT/REST
Provide content using semantic format
RESTfully
Compatible with WoT
REST* TSC
ROA x x
Resources
x x
identified by URIs
GET, PUT,
Operations Write, read, take
POST, DELETE
Representation HTML, Json,... Full semantics
On top of that, we build a TSC middleware
Coordination of Constrained devices Lightweight TSC middleware 17 / 42
23. Starting point (assumptions)
Each device manages its own information
The space is distributed among all the participants
Each device interrogates others
Coordination of Constrained devices Lightweight TSC middleware 20 / 42
24. Who to query?
To all (naive)
Coordination of Constrained devices Lightweight TSC middleware 21 / 42
25. Who to query?
To whoever has a relevant answer for me
⇓
need to know about the information others have
Coordination of Constrained devices Lightweight TSC middleware 21 / 42
26. What should a node know from the rest?
General concepts or terminology (TBox)
implies sharing less information
( the specific knowledge, ABox, changes too frequently )
Backup
Coordination of Constrained devices Lightweight TSC middleware 22 / 42
27. Energy-aware architecture
Share clues through an intermediary
dynamic role
chosen according to its capacities
get clues make clues
send clues
directly access to data
Coordination of Constrained devices Lightweight TSC middleware 23 / 42
28. Goal
300000 300000
ours
250000 250000 nb
200000 200000
active time / node
active time / node
150000 150000
100000 100000
50000 50000
0 nb ours 0 xbee foxg20galaxy_tab server
Strategy Types of devices
(16% less energy consumed without activity in a FoxG20)
Coordination of Constrained devices Lightweight TSC middleware 24 / 42
29. Conclusions
1. Indirect communication to ease developers tasks
2. Promote end-to-end search
3. Architecture driven by energy needs
4. Light reasoners for small devices still needed
Coordination of Constrained devices Conclusions 25 / 42
30. Future work
Enhance the mechanisms to act on the space
Consider queries for ABox knowledge
Further tests in non-prototipical real-world
scenarios
Continue exploring its feasibility in other platforms
Coordination of Constrained devices Conclusions 26 / 42
32. Bibliography I
Payam Barnaghi, Wei Wang, Cory Henson, and Kerry Taylor.
Semantics for the internet of things.
International Journal on Semantic Web and Information
Systems, 8(1):1–21, 2012.
George Coulouris, Jean Dollimore, Tim Kindberg, and Gordon
Blair.
Distributed Systems: Concepts and Design.
Addison Wesley, 5 edition, 2012.
World Wide Web Consortium.
W3c semantic web faq, August 2011.
D. Nardi and R.J. Brachman.
An introduction to description logics.
The description logic handbook: theory, implementation, and
applications, pages 1–40, 2003.
Coordination of Constrained devices Bibliography 28 / 42
35. Conceptual classification
Applications, services
Remote invocation Indirect communication
(e.g. REST or WS.*) (e.g. Tuple Spaces)
Middleware
layers Underlying interprocess communication
(sockets, message passing, multicast support, overlay networks)
Platform
(operating system + hardware)
[CDKB12]
Coordination of Constrained devices Backup slides 31 / 42
36. The Semantic Web in short
The vision of the Semantic Web is to extend principles of
the Web from documents to data. Data should be
accessed using the general Web architecture using, e.g.,
URI-s; data should be related to one another just as
documents (or portions of documents) are already. This
also means creation of a common framework that allows
data to be shared and reused across application,
enterprise, and community boundaries, to be processed
automatically by tools as well as manually, including
revealing possible new relationships among pieces of
data. [Con11]
Back
Coordination of Constrained devices Backup slides 32 / 42
37. Semantics alone are not enough
Providing semantic descriptions alone does not provide
semantic interoperability. [BWHT12]
Agreement on ontological definitions
ontology mapping and matching
use of reference upper-level ontologies
Semantics need to be processed and analyzed
interpret and create meaningful abstractions
effective reasoning and processing
Should the ontologies be simpler and light weight for IoT?
Back
Coordination of Constrained devices Backup slides 33 / 42
39. TBox
TBox contains knowledge describing general properties
of concepts or terminology.
[NB03]
E.g. the device type or the elements it is made of.
Back
Coordination of Constrained devices Backup slides 35 / 42
40. ABox
ABox contains knowledge specific to the individuals of
the domain of discourse.
[NB03]
E.g. the mobile phone brand or the temperature sensed by a
thermometer.
Back
Coordination of Constrained devices Backup slides 36 / 42
41. Application 1: Security
Security application monitors parameters
E.g. temperature, humidity & CO2 concentration
Sensors deployed in an industrual facility
Generates alarms different priorities
They are displayed in different devices
E.g. visual and auditory alarms or in the managers the phone
Using standards ontologies such as: SSN, SWEET
Coordination of Constrained devices Backup slides 37 / 42
42. Application 2: Home automation
Devices deployed on an office: sensors and actuators
An application in a smartphone stores user’s preferences
A node generates tasks to regulate the temperature
Using standards ontologies such as: SSN, MUO, RECO
Coordination of Constrained devices Backup slides 38 / 42
43. Interoperability
Both applications use SSN ontology
Even if they were not designed with that purpose...
App1 transparently uses App2’s data
and vice versa
Back
Coordination of Constrained devices Backup slides 39 / 42
44. Energy consumption
700
Average power consumption (mW)
600
500
400
300
200
100
0 Inactivity Period with Reasoning period
period continuous requests
Back
Coordination of Constrained devices Backup slides 40 / 42
45. Use of Semantic Gateways
Sensors directly Use of semantic
provide data gateway
Strong nodes Really constrained
Most updated Possible Caching
More privacy control
Autonomy Dependency
(less flexible)
Coordination of Constrained devices Backup slides 41 / 42
46. All rights of images are reserved by the
original owners*, the rest of the content is licensed
under a Creative Commons by-sa 3.0 license.
* OpenStreetMap, Universidad de Deusto, Amortize, and Marco Crupi.