Welcome to the Connected Vehicle Training Overview. This program will give professionals an overview of overarching concepts of the connected vehicle space Mobile Comply has created the Connected Vehicle Management Overview, a highly selective two-hour course designed to give participants a basic understanding of the connected vehicle space for Future connected vehicle education and certification programs.
Connected vehicles are coming soon to a road near you and according to U.S. Department of Transportation, these "talking cars" can have the potential to prevent 80% car crashes. But did you know that connected vehicles can also keep pedestrians safe too. Learn more at our session at SXSW 2017.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
In the past decade, auto manufacturers have installed various technologies designed to make cars safer, more responsive, and more pleasurable to drive. From the hands-free cellphone, to iPod berths, to satellite radio, to automated parking—not to mention Google’s self-driving vehicle—the automobile is undergoing an electronic overhaul that promises to transform its role for consumers. What once was perceived as personal transportation is fast evolving into a new mobile device, merging with the digital world into an all-encompassing communications environment.
This ongoing transformation is poised to shift into high gear as cars display still greater connectivity and broader capabilities than ever. What makes this shift different from the way automobiles adopted new technologies in the past is that this time, automakers may have to consider how they can quickly merge consumer electronics and software with their traditional automotive systems.
Welcome to the Connected Vehicle Training Overview. This program will give professionals an overview of overarching concepts of the connected vehicle space Mobile Comply has created the Connected Vehicle Management Overview, a highly selective two-hour course designed to give participants a basic understanding of the connected vehicle space for Future connected vehicle education and certification programs.
Connected vehicles are coming soon to a road near you and according to U.S. Department of Transportation, these "talking cars" can have the potential to prevent 80% car crashes. But did you know that connected vehicles can also keep pedestrians safe too. Learn more at our session at SXSW 2017.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
In the past decade, auto manufacturers have installed various technologies designed to make cars safer, more responsive, and more pleasurable to drive. From the hands-free cellphone, to iPod berths, to satellite radio, to automated parking—not to mention Google’s self-driving vehicle—the automobile is undergoing an electronic overhaul that promises to transform its role for consumers. What once was perceived as personal transportation is fast evolving into a new mobile device, merging with the digital world into an all-encompassing communications environment.
This ongoing transformation is poised to shift into high gear as cars display still greater connectivity and broader capabilities than ever. What makes this shift different from the way automobiles adopted new technologies in the past is that this time, automakers may have to consider how they can quickly merge consumer electronics and software with their traditional automotive systems.
How does government and technology affect our retail electricity markets?Advisian
Rajiv Venkatraman explains how disruption in the retail electricity market has created a need to solve technological, economic and political challenges, as well as the ability to grasp opportunities.
Cisco Smart Intersections: IoT insights using video analytics and AICarl Jackson
In this trial, IoT, Video Analytics, Deep Learning (DL) and Artificial Intelligence (AI), for the purpose of traffic flow assessment and insights into road user behaviour, were evaluated at an intersection at the AIMES testbed in Melbourne¹ in partnership with: the University of Melbourne, Department of Transport (DOT), IAG and Cisco.
Leading cities are using technology to evolve their transport systems from single modes to integrated ones, improve transport services and provide an improved value proposition to customers.
Connected Car Security and the Future of Transportation Liz Slocum
My slides about connected car security and the future of transportation that I presented to the Cloud Security Alliance, IoT Working Group on July 28, 2016.
Algorithmic decision-making in AVs: understanding ethical and technical conce...Araz Taeihagh
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart and sustainable cities. Algorithms form the basis of decision-making in AVs, allowing them to perform driving tasks autonomously, efficiently and more safely than human drivers and offering various economic, social and environmental benefits. However, algorithmic decision-making in AVs can also introduce new issues that create new safety risks and perpetuate discrimination. We identify bias, ethics and perverse incentives as key ethical issues in the AV algorithms’ decision-making that can create new safety risks and discriminatory outcomes. Technical issues in the AVs’ perception, decision-making and control algorithms, limitations of existing AV testing and verification methods, and cybersecurity vulnerabilities can also undermine the performance of the AV system. This article investigates the ethical and technical concerns surrounding algorithmic decision-making in AVs by exploring how driving decisions can perpetuate discrimination and create new safety risks for the public. We discuss steps taken to address these issues and increase the accountability of AV stakeholders, highlight the existing research gaps and the need to mitigate these issues through the design of AV’s algorithms and of policies and regulations to fully realise AVs’ benefits for smart and sustainable cities.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Micromobility at TU Berlin: Analysis of demand across locations and drafting ...Sarah Westphal
The technical university Berlin is located in Berlin with campus locations across the city. The locations Ernst-Reuter-Platz, Severingelände/PTZ, Kaiserin-Augusta-Allee, Wedding Hum-boldthain, Wedding Seestraße, Steglitz-Zehlendorf and Campus EUREF were analyzed in re-gard to available mobility options such as local public transport and micromobility sharing ser-vices. It was concluded that it is in some cases not possible to travel from one location to anoth-er in the time available between two courses. To determine the need for an own micromobility service operated by the TU Berlin, university members were surveyed.
Within the scope of this thesis, the term micromobility refers to light vehicles for personal transport which are permitted for road transport in Germany and are currently used in sharing services. This includes:
• Bicycles
• Pedelecs
• E-Scooters (footbikes)
• larger E-Scooters (electric motor scooters)
The analyses and survey revealed an existing need and interest in the use of an own Micromo-bility service at the TU Berlin.
Local Motors Awesome System is a self optimized sustainable autonomous vehicle system.
It is safe, affordable and enable new business models.
Join the mobility revolution.
(V3.0)
Traffic congestion has become one of the largest annoyances to countries like the United States and China when it comes to economic competitiveness, livability, safety, and long-term environmental sustainability. Congestion on freeways and roads is a major component of and contributor to delay. Emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and connected vehicles provide opportunities to mitigate traffic congestion.
As one of the largest technology providers in China, Asiainfo Data is leading a city-scale Smart Transportation project in City of Wuxi, one of the national centers for IoT innovation in China. In this talk, we would like to share our real-world experiences in using AI and big data technologies to implement cutting-edge technologies transformation of Wuxi’s transportation systems. In this project, we collaborate with China Telecom, the Traffic Management Research Institute, smart vehicle makers, and many influential researchers on traffic management worldwide. We will showcase scenarios on public transportation prioritization, car-road coordination, and region-wide traffic signal optimization by utilizing AI modeling and the most advanced IoT technologies.
Speaker
Jian Chang, AsiaInfo, Chief Technology Officer
Local motors Awesome System - A smart autonomous upgradable vehicles systemDamien DECLERCQ
Following the "Urban Mobility Challenge: Berlin 2030" we have gathered a lot of interest for the Berlino concept. Here is the introduction of the AWESOME System, an autonomous vehicles system.
How does government and technology affect our retail electricity markets?Advisian
Rajiv Venkatraman explains how disruption in the retail electricity market has created a need to solve technological, economic and political challenges, as well as the ability to grasp opportunities.
Cisco Smart Intersections: IoT insights using video analytics and AICarl Jackson
In this trial, IoT, Video Analytics, Deep Learning (DL) and Artificial Intelligence (AI), for the purpose of traffic flow assessment and insights into road user behaviour, were evaluated at an intersection at the AIMES testbed in Melbourne¹ in partnership with: the University of Melbourne, Department of Transport (DOT), IAG and Cisco.
Leading cities are using technology to evolve their transport systems from single modes to integrated ones, improve transport services and provide an improved value proposition to customers.
Connected Car Security and the Future of Transportation Liz Slocum
My slides about connected car security and the future of transportation that I presented to the Cloud Security Alliance, IoT Working Group on July 28, 2016.
Algorithmic decision-making in AVs: understanding ethical and technical conce...Araz Taeihagh
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart and sustainable cities. Algorithms form the basis of decision-making in AVs, allowing them to perform driving tasks autonomously, efficiently and more safely than human drivers and offering various economic, social and environmental benefits. However, algorithmic decision-making in AVs can also introduce new issues that create new safety risks and perpetuate discrimination. We identify bias, ethics and perverse incentives as key ethical issues in the AV algorithms’ decision-making that can create new safety risks and discriminatory outcomes. Technical issues in the AVs’ perception, decision-making and control algorithms, limitations of existing AV testing and verification methods, and cybersecurity vulnerabilities can also undermine the performance of the AV system. This article investigates the ethical and technical concerns surrounding algorithmic decision-making in AVs by exploring how driving decisions can perpetuate discrimination and create new safety risks for the public. We discuss steps taken to address these issues and increase the accountability of AV stakeholders, highlight the existing research gaps and the need to mitigate these issues through the design of AV’s algorithms and of policies and regulations to fully realise AVs’ benefits for smart and sustainable cities.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Micromobility at TU Berlin: Analysis of demand across locations and drafting ...Sarah Westphal
The technical university Berlin is located in Berlin with campus locations across the city. The locations Ernst-Reuter-Platz, Severingelände/PTZ, Kaiserin-Augusta-Allee, Wedding Hum-boldthain, Wedding Seestraße, Steglitz-Zehlendorf and Campus EUREF were analyzed in re-gard to available mobility options such as local public transport and micromobility sharing ser-vices. It was concluded that it is in some cases not possible to travel from one location to anoth-er in the time available between two courses. To determine the need for an own micromobility service operated by the TU Berlin, university members were surveyed.
Within the scope of this thesis, the term micromobility refers to light vehicles for personal transport which are permitted for road transport in Germany and are currently used in sharing services. This includes:
• Bicycles
• Pedelecs
• E-Scooters (footbikes)
• larger E-Scooters (electric motor scooters)
The analyses and survey revealed an existing need and interest in the use of an own Micromo-bility service at the TU Berlin.
Local Motors Awesome System is a self optimized sustainable autonomous vehicle system.
It is safe, affordable and enable new business models.
Join the mobility revolution.
(V3.0)
Traffic congestion has become one of the largest annoyances to countries like the United States and China when it comes to economic competitiveness, livability, safety, and long-term environmental sustainability. Congestion on freeways and roads is a major component of and contributor to delay. Emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and connected vehicles provide opportunities to mitigate traffic congestion.
As one of the largest technology providers in China, Asiainfo Data is leading a city-scale Smart Transportation project in City of Wuxi, one of the national centers for IoT innovation in China. In this talk, we would like to share our real-world experiences in using AI and big data technologies to implement cutting-edge technologies transformation of Wuxi’s transportation systems. In this project, we collaborate with China Telecom, the Traffic Management Research Institute, smart vehicle makers, and many influential researchers on traffic management worldwide. We will showcase scenarios on public transportation prioritization, car-road coordination, and region-wide traffic signal optimization by utilizing AI modeling and the most advanced IoT technologies.
Speaker
Jian Chang, AsiaInfo, Chief Technology Officer
Local motors Awesome System - A smart autonomous upgradable vehicles systemDamien DECLERCQ
Following the "Urban Mobility Challenge: Berlin 2030" we have gathered a lot of interest for the Berlino concept. Here is the introduction of the AWESOME System, an autonomous vehicles system.
Cooperative Data Sharing with Security in Vehicular Ad-Hoc Networkscsandit
Vehicles download the data when passing through a drive through the road (RSU) and then share the data after travelling outside the coverage of RSU.A key issue of downloading
cooperative data is how effectively data is shared among them self. Developing an application layer data exchange protocol for the coordination of vehicles to exchange data according to
their geographic locations. Coordinated sharing can avoid medium access control (MAC) layer
collisions and the hidden terminal effect can be avoided in the multi-hop transmission. A salient
feature of the application layer data exchange protocol, in the voluntary services, Vehicles purchase the requested data from service provider via RSUs. In this project, we propose a
cooperative data sharing with secure framework for voluntary services in special vehicles networks (VANETs). We also concentrate on security in the process of downloading data and
sharing. Applicants to ensure exclusive access to data applied and security of the vehicles
involved in the implementation.
"Connected Vehicles" is a PowerPoint for primary and secondary students that provides an overview of what are connect vehicles, how they work, why they are needed, amongst other components associated with intelligent transportation systems. Additionally, this lesson can be paired with a "Follow the Sound" activity; instructions are found within the PowerPoint.
The number of automobiles on the road will only increase due to the ever increasing population development in urban areas across the world and manufacturers ongoing manufacturing of all types of vehicles. This inevitably causes additional traffic congestion, which is exacerbated during rush hour and especially in big urban areas. Urban planners, local officials, and academics are continuously under pressure from this phenomenon to find methods to make traffic management systems safer and more cost effective. Numerous researches have been carried out to solve this ongoing issue, leading to some major advancements like specific lanes for emergency vehicles in metropolitan areas. Even with these lanes, it is sometimes challenging to meet the appropriate goal timeframes for emergency vehicles to arrive at their locations. Intelligent Transportation System is a fresh approach that aims to solve this problem ITS . By fusing present infrastructure with existing technologies, this approach can aid in problem solving. In this paper, three alternative traffic management techniques RFID, Internet of Things, and Traffic Light Systems TLS , which can be static or dynamic IoT . In the latter approach, traffic data are swiftly gathered and delivered to Big Data for analysis, while mobile applications, also known as User Interface UI , are used to evaluate traffic density in various places and offer alternate traffic relief suggestions. Bharti Kumari | Vinod Mahor "Review: Smart Traffic Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50595.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/50595/review-smart-traffic-management-system/bharti-kumari
Taking into consideration the drivers’ state might be a serious challenge for designing new advanced driver
assistance systems. During this paper we present a driver assistance system strongly coupled to the user. Driver
Assistance by Augmented Reality for Intelligent Automotive is an augmented reality interface informed by a several
sensors. Communicating the presence of pedestrians or bicyclists to vehicle drivers may end up in safer interactions
with these vulnerable road users. Advanced knowledge about the presence of these users on the roadway is
particularly important when their presence isn't expected or when these users are out of range of the advanced safety
systems that are becoming a daily feature in vehicles today. For example, having advanced knowledge of a pedestrian
walking along a rural roadway is important to increasing driver awareness through in-vehicle warning messages that
provide an augmented version of the roadway ahead. Voice recognition system through an android platform adds
some good flavour during this project. The strategy of voice recognition through this platform is achieved by
converting the input voice signal into text of string and subsequently it's transmitted to embedded system which
contains an arduino atmega328 microcontroller through Bluetooth as a technique of serial communication between an
android application and a control system. The received text string on an arduino is also displayed on the AR Glass. As
connected vehicles start to enter the market, it's conceivable that when the vehicle sensors detect a pedestrian on a
rural roadway, the pedestrian presence is also communicated to vehicles upstream of the pedestrian location that
haven't reached the destination. This paper presents a survey of studies related to perception and cognitive attention
of drivers when this information is presented on Augmented Reality
GEOCAST ROUTING PROTOCOLS FOR VEHICULAR AD-HOC NETWORKS: A SURVEYijwmn
Geocast routing is considered to be advantageous in VANETs, as most of the safety applications are location-based and are relevant to a particular geographical area rather than individual vehicles. Hence, the geocast routing approach where data packets are delivered to a specific geographic area or zone of relevance has become an important research area among researchers and academicians. This article surveys the existing geocast routing protocols for the vehicular environment and compares them qualitatively based on various parameters. The pros and cons of each routing protocol are discussed. Certain directions for future research related to geocast routing protocols are also presented.
GEOCAST ROUTING PROTOCOLS FOR VEHICULAR AD-HOC NETWORKS: A SURVEYijwmn
Geocast routing is considered to be advantageous in VANETs, as most of the safety applications are
location-based and are relevant to a particular geographical area rather than individual vehicles. Hence,
the geocast routing approach where data packets are delivered to a specific geographic area or zone of
relevance has become an important research area among researchers and academicians. This article
surveys the existing geocast routing protocols for the vehicular environment and compares them
qualitatively based on various parameters. The pros and cons of each routing protocol are discussed.
Certain directions for future research related to geocast routing protocols are also presented.
VANET-based traffic monitoring and incident detection system: A review IJECEIAES
As a component of intelligent transport systems (ITS), vehicular ad hoc network (VANET), which is a subform of manet, has been identified. It is established on the roads based on available vehicles and supporting road infrastructure, such as base stations. An accident can be defined as any activity in the environment that may be harmful to human life or dangerous to human life. In terms of early detection, and broadcast delay. VANET has shown various problems. The available technologies for incident detection and the corresponding algorithms for processing. The present problem and challenges of incident detection in VANET technology are discussed in this paper. The paper also reviews the recently proposed methods for early incident techniques and studies them.
Analysis of Machine Learning Algorithm with Road Accidents Data SetsDr. Amarjeet Singh
Beginning at now, street transport framework neglect to alter up to the exponential expansion in vehicular masses and to ascertaining the quickest driving courses and catastrophes inside observing differing traffic conditions is a critical issue right presently structures. To upset this issue is to explore the vehicle division dataset with bundle learning technique for finding the best street choice without calamity gauging by want aftereffects of best accuracy count by looking at oversaw AI figuring. In bits of information and AI, bundle strategies utilize diverse learning calculations to give indications of progress prudent execution. The assessment of dataset by facilitated AI technique (SMLT) to get two or three data takes after, factor perceiving proof, univariate evaluation, bivariate and multi-variate appraisal, missing worth medications and separate the information support, information cleaning/organizing and information perception will be done with everything taken into account given dataset. In addition, to look at and talk about the presentation of different AI figuring estimations from the given vehicle division dataset with assessment of GUI based street fiasco want by given attributes.
- What drives the progress of autonomous driving?
- How far is the technology?
- How far has legislation come?
- How is autonomous driving perceived by the end consumer?
We look at the state of play concerning autonomous driving, reviewing major development of 2017 and provide an outlook for 2018.
Iot based smart transport management systemGagan Bansal
In this paper, the author highlighted the workings, executions, implementations, and the application of the Internet of Things (IoT) in transport management and vehicle to vehicle
communication systems.
The idea of Intelligent Transportation Systems (ITS) is utilized when discussing correspondence advancements among vehicles and framework to improve, among others, street wellbeing. We propose a notice administration to avoid mishaps by cautioning drivers about mishaps and perilous street conditions. This administration incorporates the meaning of another communicate dispersal system. A VANET roadway situation is mimicked to assess how the utilization of wellbeing plans diminishes the driver's response time when a startling circumstance happens. This new administration incorporates the meaning of another communicates spread component for low need messages that improve the data transfer capacity utilization. The end drawn in the wake of mimicking the shrewd street structure is that the utilization of astute foundation definitely decreases the response time of the driver. This will deliver an improvement in transport wellbeing since a vehicle would require less space to maintain a strategic distance from a surprising circumstance contrasted with not utilizing these advancements
Dr. Luis Vazquez, Regents Professor and Associate Vice President for Research at New Mexico State University, covers grad student funding sources, budgeting, and strategies for getting more funding.
Ms. Amy Maki, Founder and President of A.O. Maki & Associates, L.L.C., covers both verbal and written communication, common communication pitfalls, and non-verbal communication.
Mr. Juhann Waller, Adjunct Assistant Professor at North Carolina Agricultural and Technical State University, covers reasons why to pursue a graduate degree, why and how to apply, and the benefits of attending.
Dr. Ibibia Dabipi, Professor & Assistant Director in the Department of Engineering and Aviation Science at the University of Maryland Eastern Shore, covers how to best match your graduate school interests with a program, and how to prepare for it.
Dr. Deo Chimba, a Professor of Civil and Environmental Engineering at Tennessee State University gave a presentation on the experience of graduate school students. He covers graduate versus undergraduate, Masters versus PhD, and what challenges a student may come across.
Dr. Edgar Blevins, Professor of Mechanical Engineering at Southern University in Baton Rouge, gave a presentation on Choosing Faculty Mentors and your Communities to foster academic success.
Dr. Luis Vázquez, Regents Professor at New Mexico State University, presents on "Understanding Funding and Budgeting Finances". For more information, please visit https://matc.unl.edu.
Ms. Amy Maki, Founder and President of A. O. Maki & Associates, L.L.C., discusses appropriate communication skills. For more information, please visit https://matc.unl.edu.
Dr. Edgar Blevins, Professor at Southern University and A&M College, presents on "Choosing Faculty Mentors & Finding 'Mentoring Communities' for Academic Success. For more information, please visit https://matc.unl.edu.
Dr. Deo Chimba, Interim Department Chair and Associate Professor at Tennessee State University, presents on "Graduate School Student Experiences". For more information, please visit https://matc.unl.edu.
Dr. Ibibia Dabipi, Professor at the University of Maryland-Eastern Shore, presents on "Choosing a Graduate Program: Making a Short List". For more information, please visit https://matc.unl.edu
Mr. Juhann Waller, Adjunct Assistant Professor at North Carolina Agricultural and Technical State University, presents on "Why Graduate School?". For more information, please visit https://matc.unl.edu
In this talk, Dr. Haitao Li will introduce the food supply chain configuration problem (FSCCP) to optimize the tactical-level mode selection and inventory positioning decisions for a general multi-echelon food supply chain. Computational studies show that the optimal FSCCP solutions significantly outperform two heuristic solutions that focus solely on cost or quality. Managerial insights are obtained on the impacts of key input parameters on the optimal configuration and performance metrics.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Madison Vater spent this summer working with Alfred Benesch & Company. This presentation summarizes her experience during her internship
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Ryan Weyers spent this summer working with Lincoln Transportation and Utilities. This presentation summarizes his experience during his internship.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Abdulla Al Ajmi spent this summer working with Alfred Benesch & Company. This presentation summarizes his experience during his internship.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Jose Aguilar spent this summer working with JEO Consulting Group. This presentation summarizes his experience during his internship.
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
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.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
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.
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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
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
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
A Ground- Level View of Connected Vehicles
1. Kyle Garrett
ITS Heartland
March 27, 2012
3/27/2012 1
2. This is not (just) a car; it’s a…
Multimedia center
Internet node
Navigation device
Sensor platform
Safety cocoon
Automated driving
assistant
3/27/2012 2
3. Multiply by 250,000,000
Congestion
Crashes
Delay
Wear and tear on
the roadway
… with insufficient
public resources to
Photo by: EA
keep up and solve
problems
3/27/2012 3
4. What if…
Vehicles using the roadways provided data
to monitor and control traffic
Vehicles and the roadway communicated
with one another to reduce the likelihood
and consequences of incidents
Vehicles monitored and reported roadway
conditions as they use the roadways
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5. Who would be involved?
Automakers
Drivers and the public
Federal, state and local agencies
OEM and Aftermarket Suppliers
Communication Service Providers
Engineering Services, ITS and Consultants
Lawmakers
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6. What would a connected roadway
look like?
It would provide timely information about
local conditions
It could communicate from the roadway to
vehicles, operations centers, and/or other
locations on the roadway
It would have sensors and controls to fit the
operational needs
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7. How would it communicate?
Telematics are already using 3/4G
wireless, sometimes from user devices
USDOT research is focused on DSRC
Multiple paths promote innovation and
improve reliability
Make the form of communications fit the
application
Short-range for local information
Networks for broader needs
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8. What could this mean for Safety?
USDOT and automakers are leading the
charge on V2V and V2I safety applications
Safety Pilot Model Deployment is ramping
up in Ann Arbor, Michigan
Other agencies are looking at apps like
in-vehicle signing and enhanced
emergency response with signal
prioritization/preemption
Decision on communications deployment
for safety due in 2013
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9. What could this mean for Mobility?
More traffic probe data than we know what
to do with
Traffic data from arterials and rural roads
as well as freeways, with less infrastructure
Adaptive traffic controls based on
measured conditions in real time
Enhanced usage data—volumes and
origin/destination for planning studies
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10. What could this mean for Mobility?
Enhanced commercial vehicle operations
and enforcement apps
Air quality and congestion management
opportunities, being pursued in the USDOT
AERIS program
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11. What could this mean for
Agency Operations?
Gathering road weather data for winter
operations
Assessing accelerometry-based ride
response for pavement defect and surface
conditions
Considering connected vehicle technology
for high-occupancy toll (HOT) lanes
Potential for mileage-based road user fees
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12. But what about…?
Privacy – how are questions of personal
privacy and public good resolved?
Data Ownership – who gets to use the
data, and under what conditions?
Security – does the data need to be
secured, and how?
Distracted Driving – how can this not
distract the driver?
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13. Where and when?
AASHTO is evaluating connected vehicle
deployment opportunities and challenges
Schedule is driven by the 2013 communi-
cations decision and vehicle fleet turnover
Vehicle retrofits could speed things up
AASHTO report leans toward near-term
opportunistic infrastructure deployment
High-value apps in high-use locations
Accelerate deployment as connected vehicle
population increases
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14. For further information
USDOT/RITA/JPO Connected Vehicles
web site
http://www.its.dot.gov/connected_vehicle/connected_vehicle.htm
AASHTO Connected Vehicle Infrastructure
Deployment Analysis
https://bookstore.transportation.org/Item_details.aspx?id=1931
Kyle Garrett, jgarrett502@gmail.com
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