Detailed Simulation of Large-Scale Wireless NetworksGabriele D'Angelo
WiFra is a new framework for the detailed simulation of very large-scale wireless networks. It is based on the parallel and distributed simulation approach and provides high scalability in terms of size of simulated networks and number of execution units running the simulation. In order to improve the performance of distributed simulation, additional techniques are proposed. Their aim is to reduce the communication overhead and to maintain a good level of load-balancing. Simulation architectures composed of low-cost Commercial-Off-The-Shelf (COTS) hardware are specifically supported by WiFra. The framework dynamically reconfigures the simulation, taking care of the performance of each part of the execution architecture and dealing with unpredictable fluctuations of the available computation power and communication load on the single execution units. A fine-grained model of the 802.11 DCF protocol has been used for the performance evaluation of the proposed framework. The results demonstrate that the distributed approach is suitable for the detailed simulation of very-large scale wireless networks.
Colloque IMT -04/04/2019- L'IA au cœur des mutations industrielles - L'IA pou...I MT
Colloque IMT - L'IA au cœur des mutations industrielles - Session Optimisation: L'IA pour la performance des réseaux. Présentation par Léonardo Linguaglossa, Chercheur post-doctorant (Télécom ParisTech)
Implementing Neural Networks Using VLSI for Image Processing (compression)IJERA Editor
Biological systems process the analog signals such as image and sound efficiently. To process the information the way biological systems do we make use of ANN. (Artificial Neural Networks) The focus of this paper is to review the implementation of the neural network architecture using analog components like Gilbert cell multiplier, differential amplifier for neuron activation function and tan sigmoid function circuit using MOS transistor. The neural architecture is trained using Back propagation algorithm for compressing the image. This paper surveys the methods of implementing the neural network using VLSI .Different CMOS technologies are used for implementing the circuits for arithmetic operations (i.e. 180nm, 45nm, 32nm).And the MOS transistors are working in sub threshold region. In this paper a review is made on how the VLSI architecture is used to implement neural networks and trained for compressing the image.
Detailed Simulation of Large-Scale Wireless NetworksGabriele D'Angelo
WiFra is a new framework for the detailed simulation of very large-scale wireless networks. It is based on the parallel and distributed simulation approach and provides high scalability in terms of size of simulated networks and number of execution units running the simulation. In order to improve the performance of distributed simulation, additional techniques are proposed. Their aim is to reduce the communication overhead and to maintain a good level of load-balancing. Simulation architectures composed of low-cost Commercial-Off-The-Shelf (COTS) hardware are specifically supported by WiFra. The framework dynamically reconfigures the simulation, taking care of the performance of each part of the execution architecture and dealing with unpredictable fluctuations of the available computation power and communication load on the single execution units. A fine-grained model of the 802.11 DCF protocol has been used for the performance evaluation of the proposed framework. The results demonstrate that the distributed approach is suitable for the detailed simulation of very-large scale wireless networks.
Colloque IMT -04/04/2019- L'IA au cœur des mutations industrielles - L'IA pou...I MT
Colloque IMT - L'IA au cœur des mutations industrielles - Session Optimisation: L'IA pour la performance des réseaux. Présentation par Léonardo Linguaglossa, Chercheur post-doctorant (Télécom ParisTech)
Implementing Neural Networks Using VLSI for Image Processing (compression)IJERA Editor
Biological systems process the analog signals such as image and sound efficiently. To process the information the way biological systems do we make use of ANN. (Artificial Neural Networks) The focus of this paper is to review the implementation of the neural network architecture using analog components like Gilbert cell multiplier, differential amplifier for neuron activation function and tan sigmoid function circuit using MOS transistor. The neural architecture is trained using Back propagation algorithm for compressing the image. This paper surveys the methods of implementing the neural network using VLSI .Different CMOS technologies are used for implementing the circuits for arithmetic operations (i.e. 180nm, 45nm, 32nm).And the MOS transistors are working in sub threshold region. In this paper a review is made on how the VLSI architecture is used to implement neural networks and trained for compressing the image.
Design of Tele command SOC-IP by AES Cryptographic Method Using VHDLdbpublications
The goal of this project is to implement the (AES) encryption system using Verilog. To do this, several separate sections of the algorithm will be coded to work together towards the end goal of performing the correct encryption routines. A telecommand is a command sent to control a remote system or systems i.e not directly connected (e.g. via wires) to the place from which the telecommand is sent. The telecommand word is derived from tele = remote (Greek), and command = to entrust/order (Latin). Systems that need remote measurement and reporting of information of interest to the system designer or operator, require the counterpart of telecommand, telemetry. For a telecommand (TC) to be effective, it must be compiled into a pre-arranged format (which may follow a standard structure), modulated onto a carrier wave which is then transmitted with adequate power to the remote system. The remote system will then demodulates the digital signal from the carrier, decode the telecommand, and execute it.
Machine Learning (ML) in Wireless Sensor Networks (WSNs)mabualsh
Wireless sensor networks (WSNs) and the Internet of Things (IoT) monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. WSNs and IoT often adopt machine learning to eliminate the need for unnecessary redesign. Machine learning inspires many practical solutions that maximize resource utilization and prolong the network's lifespan. These slides present an extensive literature review of machine learning methods to address common issues in WSNs and IoT.
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
Moldable pipelines for CNNs on heterogeneous edge devicesLEGATO project
Abstract: Modern edge devices are equipped with more powerful computing resources than ever before which opens up the opportunity to execute deep neural networks on the devices instead of cloud-based implementation. Existing DNN frameworks such as TensorFlow, Caffe, Torch, etc.. do not exploit the heterogeneous features of these devices except supporting GPUs. Modern edge devices contain different categories of heterogeneity i.e. clusters of different types of cores fabricated on the same chip. An example of such type of board is Jetson TX2 from Nvidia. To support DNN applications on heterogeneous edge devices, we have developed a framework which generates an efficient and balanced parallel pipelined implementation of CNN inference from a simplified template language interface. We leverage the input and output information provided by template language to generate a balanced pipeline. Since the cores are heterogeneous, we run a brief online training phase to find the best core distribution for a balanced and high throughput pipeline.
Our experiments show that a pipeline mapping configuration obtained from online training provides upto 22% faster pipeline as compared to the baseline. We compare against kernel level parallel implementation of widely used image classification CNN, VGG-16 on Nvidia Jetson TX2 board.
Poster presented by Pirah Noor Soomro at the LEGaTO Final Event: 'Low-Energy Heterogeneous Computing Workshop'
OSCON 2014 - API Ecosystem with Scala, Scalatra, and Swagger at NetflixManish Pandit
In this talk I’d like to introduce the Scala-based API stack at Partner Innovation Group at Netflix. After seeing a massive growth in the business model and the device ecosystem, we needed a system that could scale and be flexible at the same time. Scala provided the answer and we started with a basic set of APIs which, since then, has evolved towards complex but flexible business flows. Supporting metadata for over hundreds of brands and thousands of devices, the API development has followed a well thought-out, test-driven approach, git-flow, and what most API developers dread – documentation. I will talk about the architecture of the RESTful APIs, and the development + deployment process. We use Netflix-OSS components heavily in the architecture and cloud deployment, so I will cover them as well.
Swagger is what we used for type-safe documentation, which is really easy to use and integrate. I will briefly talk about customizations we’ve done to Swagger in order to make it far more usable at Netflix.
Throughout this effort there were lessons to be learnt, and plenty of best practices and recommendations for anyone starting out to build RESTful APIs, regardless of the platform or stack of choice. It’d be a great opportunity for me to walk through the architecture, and talk about the various components, technologies, and practices that are seeing increasing adoption in the modern, API driven landscape.
Lillybeth Melmoth is Tauranga’s young mobile makeup artist and personal makeup coach specialising in interactive consultations and pro makeup services. Her work centers around interactive makeup lessons and helping professional, smart and curious women leave embarrassing makeup mishaps behind, and become their own beauty experts.
Lillybeth offers local Tauranga women unbiased beauty advice without the expectation to purchase. Read more here: http://abeautifuleducation.co.nz/Makeup-Consultations-in-Tauranga.html
Design of Tele command SOC-IP by AES Cryptographic Method Using VHDLdbpublications
The goal of this project is to implement the (AES) encryption system using Verilog. To do this, several separate sections of the algorithm will be coded to work together towards the end goal of performing the correct encryption routines. A telecommand is a command sent to control a remote system or systems i.e not directly connected (e.g. via wires) to the place from which the telecommand is sent. The telecommand word is derived from tele = remote (Greek), and command = to entrust/order (Latin). Systems that need remote measurement and reporting of information of interest to the system designer or operator, require the counterpart of telecommand, telemetry. For a telecommand (TC) to be effective, it must be compiled into a pre-arranged format (which may follow a standard structure), modulated onto a carrier wave which is then transmitted with adequate power to the remote system. The remote system will then demodulates the digital signal from the carrier, decode the telecommand, and execute it.
Machine Learning (ML) in Wireless Sensor Networks (WSNs)mabualsh
Wireless sensor networks (WSNs) and the Internet of Things (IoT) monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. WSNs and IoT often adopt machine learning to eliminate the need for unnecessary redesign. Machine learning inspires many practical solutions that maximize resource utilization and prolong the network's lifespan. These slides present an extensive literature review of machine learning methods to address common issues in WSNs and IoT.
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
Moldable pipelines for CNNs on heterogeneous edge devicesLEGATO project
Abstract: Modern edge devices are equipped with more powerful computing resources than ever before which opens up the opportunity to execute deep neural networks on the devices instead of cloud-based implementation. Existing DNN frameworks such as TensorFlow, Caffe, Torch, etc.. do not exploit the heterogeneous features of these devices except supporting GPUs. Modern edge devices contain different categories of heterogeneity i.e. clusters of different types of cores fabricated on the same chip. An example of such type of board is Jetson TX2 from Nvidia. To support DNN applications on heterogeneous edge devices, we have developed a framework which generates an efficient and balanced parallel pipelined implementation of CNN inference from a simplified template language interface. We leverage the input and output information provided by template language to generate a balanced pipeline. Since the cores are heterogeneous, we run a brief online training phase to find the best core distribution for a balanced and high throughput pipeline.
Our experiments show that a pipeline mapping configuration obtained from online training provides upto 22% faster pipeline as compared to the baseline. We compare against kernel level parallel implementation of widely used image classification CNN, VGG-16 on Nvidia Jetson TX2 board.
Poster presented by Pirah Noor Soomro at the LEGaTO Final Event: 'Low-Energy Heterogeneous Computing Workshop'
OSCON 2014 - API Ecosystem with Scala, Scalatra, and Swagger at NetflixManish Pandit
In this talk I’d like to introduce the Scala-based API stack at Partner Innovation Group at Netflix. After seeing a massive growth in the business model and the device ecosystem, we needed a system that could scale and be flexible at the same time. Scala provided the answer and we started with a basic set of APIs which, since then, has evolved towards complex but flexible business flows. Supporting metadata for over hundreds of brands and thousands of devices, the API development has followed a well thought-out, test-driven approach, git-flow, and what most API developers dread – documentation. I will talk about the architecture of the RESTful APIs, and the development + deployment process. We use Netflix-OSS components heavily in the architecture and cloud deployment, so I will cover them as well.
Swagger is what we used for type-safe documentation, which is really easy to use and integrate. I will briefly talk about customizations we’ve done to Swagger in order to make it far more usable at Netflix.
Throughout this effort there were lessons to be learnt, and plenty of best practices and recommendations for anyone starting out to build RESTful APIs, regardless of the platform or stack of choice. It’d be a great opportunity for me to walk through the architecture, and talk about the various components, technologies, and practices that are seeing increasing adoption in the modern, API driven landscape.
Lillybeth Melmoth is Tauranga’s young mobile makeup artist and personal makeup coach specialising in interactive consultations and pro makeup services. Her work centers around interactive makeup lessons and helping professional, smart and curious women leave embarrassing makeup mishaps behind, and become their own beauty experts.
Lillybeth offers local Tauranga women unbiased beauty advice without the expectation to purchase. Read more here: http://abeautifuleducation.co.nz/Makeup-Consultations-in-Tauranga.html
This is a press-fit making assignment in FABLAB and I am proposing PRESS-FIT JOINTS and these joints can be applied in Furniture Production and Constructions.
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
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.