Disaggregate accessibility planning using OSM data and OpenTripPlanner - Stat...OSMFstateofthemap
*** Presented by Andrew Byrd at State of the Map 2013
*** Full schedule available at http://wiki.openstreetmap.org/wiki/State_Of_The_Map_2013
OpenTripPlanner (OTP) is an open source multi-modal journey planner with a particular emphasis on public transport and bicycle itineraries. OTP combines OpenStreetMap data with open timetable feeds in the GTFS format to create its representation of a transportation network.
The OpenTripPlanner Analyst (OTPA) modules build upon the core journey planner to provide travel time mapping and accessibility visualisation for use in town planning, transport planning, and public consultations. OpenStreetMap data allows OTPA to consider pedestrian and bicycleconnectivity at high spatial resolution, sidestepping the problematic spatial aggregation of data.
Our presentation will cover the use of OpenStreetMap data in OTP Analyst studies, the advantages of working with OSM data, and direct participation in the OSM community by local transportation authorities.
Shuttle Route Optimization for the Sector # H-12, Islamabad using GIS softwareAsadullah Malik
Objective: To provide an effective transport system in the form of a Shuttle Service in the National University of Sciences & Technology, Islamabad. Our aim was to facilitate the students and faculty with an efficient, comfortable, economical and reliable Shuttle service.
Presentation at GISRUK 2009. Web map for studying place and activity in Jakarta, designed as part of the Cultures of Legibility project (ddm.caad.ed.ac.uk/groups/jakarta/ , participants Vlad Tanasescu, William Mackaness, Stephen Cairns and Ray Lucas, University of Edinburgh)
Summer research project that include evaluate two online camera calibration algorithms and use the algorithm with better test result to perform back-projection and geo-location for pedestrian to be virtualized in 3D model.
Presentation at the INSPIRE Workshop "Concrete steps to implement INSPIRE: synergies between the public and the private sector" - Florence, 24th June 2013
Disaggregate accessibility planning using OSM data and OpenTripPlanner - Stat...OSMFstateofthemap
*** Presented by Andrew Byrd at State of the Map 2013
*** Full schedule available at http://wiki.openstreetmap.org/wiki/State_Of_The_Map_2013
OpenTripPlanner (OTP) is an open source multi-modal journey planner with a particular emphasis on public transport and bicycle itineraries. OTP combines OpenStreetMap data with open timetable feeds in the GTFS format to create its representation of a transportation network.
The OpenTripPlanner Analyst (OTPA) modules build upon the core journey planner to provide travel time mapping and accessibility visualisation for use in town planning, transport planning, and public consultations. OpenStreetMap data allows OTPA to consider pedestrian and bicycleconnectivity at high spatial resolution, sidestepping the problematic spatial aggregation of data.
Our presentation will cover the use of OpenStreetMap data in OTP Analyst studies, the advantages of working with OSM data, and direct participation in the OSM community by local transportation authorities.
Shuttle Route Optimization for the Sector # H-12, Islamabad using GIS softwareAsadullah Malik
Objective: To provide an effective transport system in the form of a Shuttle Service in the National University of Sciences & Technology, Islamabad. Our aim was to facilitate the students and faculty with an efficient, comfortable, economical and reliable Shuttle service.
Presentation at GISRUK 2009. Web map for studying place and activity in Jakarta, designed as part of the Cultures of Legibility project (ddm.caad.ed.ac.uk/groups/jakarta/ , participants Vlad Tanasescu, William Mackaness, Stephen Cairns and Ray Lucas, University of Edinburgh)
Summer research project that include evaluate two online camera calibration algorithms and use the algorithm with better test result to perform back-projection and geo-location for pedestrian to be virtualized in 3D model.
Presentation at the INSPIRE Workshop "Concrete steps to implement INSPIRE: synergies between the public and the private sector" - Florence, 24th June 2013
Test case prioritization (TCP) is aimed at finding an ideal ordering for executing the available test cases to reveal faults earlier. To solve this problem greedy algorithms and meta-heuristics have been widely investigated, but in most cases there is no statistically significant difference between them in terms of effectiveness. The fitness function used to guide meta-heuristics condenses the cumulative coverage scores achieved by a test case ordering using the Area Under Curve (AUC) metric. In this paper we notice that the AUC metric represents a simplified version of the hypervolume metric used in many objective optimization and we propose HGA, a Hypervolume-based Genetic Algorithm, to solve the TCP problem when using multiple test criteria. The results shows that HGA is more cost-effective than the additional greedy algorithm on large systems and on average requires 36% of the execution time required by the additional greedy algorithm.
This presentation is a critical analysis of the paper by Giuseppe Grossi & Anna Thomasson "Jointly owned companies as instruments of local government: comparative evidence from the Swedish and Italian water sectors".
The analysis was done during the lessons of Research Methodologies of the XVI cycle of the PhD course in Management and Information Technology at the University of Salerno.
Issues and implementation of a process for creating a false digital alibi.
The aim is to produce a state of the personal computer that confirming a false digital alibi, following the execution of an automated procedure, without leaving any traces of automation. The aim is to answer to the questions:
1) How reliable is a digital alibi?
2) May have been artificially created?
Within the project, are discussed the issues to consider while creating a false alibi on a machine running Mac OS X and is demonstrated that it is possible to produce artificially "human" traces of machine use.
Landfill is a Web-based platform for sharing code smell datasets. It also provides a set of APIs for programmatically accessing its data.
Anyone can contribute by: improving existing datasets or sharing and posting new datasets.
L’obiettivo di questo lavoro è migliorare l’accuratezza dei risultati forniti da un motore di
ricerca, attraverso il profiling degli utenti.
Attraverso le query fornite dall’utente e i risultati da questo selezionati, il sistema acquisisce esperienza in modo da restituire, in seguito, risultati con un grado di correttezza crescente.
Nella tesi sono messi in evidenza i modelli matematici utili al profiling.
Code smells are symptoms of poor design solutions applied by programmers during the development of software systems. While the research community devoted a lot of effort to studying and devising approaches for detecting the traditional code smells defined by Fowler, little knowledge and support is available for an emerging category of Mobile app code smells. Recently, Reimann et al. proposed a new catalogue of Android- specific code smells that may be a threat for the maintainability and the efficiency of Android applications. However, current tools working in the context of Mobile apps provide limited support and, more importantly, are not available for developers interested in monitoring the quality of their apps. To overcome these limitations, we propose a fully automated tool, coined aDoctor, able to identify 15 Android-specific code smells from the catalogue by Reimann et al. An empirical study conducted on the source code of 18 Android applications reveals that the proposed tool reaches, on average, 98% of precision and 98% of recall. We made aDoctor publicly available.
Search-based testing of procedural programs:iterative single-target or multi-...Vrije Universiteit Brussel
In the context of testing of Object-Oriented (OO) software systems, researchers have recently proposed search based approaches to automatically generate whole test suites by considering simultaneously all targets (e.g., branches) defined by the coverage criterion (multi-target approach). The goal of whole suite approaches is to overcome the problem of wasting search budget that iterative single-target approaches (which iteratively generate test cases for each target) can encounter in case of infeasible targets. However, whole suite approaches have not been implemented and experimented in the context of procedural programs. In this paper we present OCELOT (Optimal Coverage sEarch-based tooL for sOftware Testing), a test data generation tool for C programs which implements both a state-of-the-art whole suite approach and an iterative single-target approach designed for a parsimonious use of the search budget. We also present an empirical study conducted on 35 open-source C programs to compare the two approaches implemented in OCELOT. The results indicate that the iterative single-target approach provides a higher efficiency while achieving the same or an even higher level of coverage than the whole suite approach.
Software-Based Energy Profiling of Android Apps: Simple, Efficient and Reliable?Vrije Universiteit Brussel
Modeling the power profile of mobile applications is a crucial activity to identify the causes behind energy leaks. To this aim, researchers have proposed hardware-based tools as well as model-based and software-based techniques to approximate the actual energy profile. However, all these solutions present their own advantages and disadvantages. Hardware-based tools are highly precise, but at the same time their use is bound to the acquisition of costly hardware components. Model-based tools require the calibration of parameters needed to correctly create a model on a specific hardware device. Software-based approaches do not need any hardware components, but they rely on battery measurements and, thus, they are hardware-assisted. These tools are cheaper and easier to use than hardware-based tools, but they are believed to be less precise. In this paper, we take a deeper look at the pros and cons of software-based solutions investigating to what extent their measurements depart from hardware-based solutions. To this aim, we propose a software- based tool named PETrA that we compare with the hardware- based Monsoon toolkit on 54 Android apps. The results show that PETrA performs similarly to M ONSOON despite not using any sophisticated hardware components. In fact, in all the apps the mean relative error with respect to M ONSOON is lower than 0.05. Moreover, for 95% of the analyzed methods the estimation error is within 5% of the actual values measured using the hardware-based toolkit.
Una breve descrizione dell'evoluzione storica della normazione ISO. Sono contenute le serie:
- ISO 9000
- ISO 14000
- ISO 18000
- ISO 20000
- ISO 27000
- ISO 50000
Inoltre, sono contenuti confronti con EMAS e linee guida UNI-INAIL
Corso di Quality System.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
Test case prioritization (TCP) is aimed at finding an ideal ordering for executing the available test cases to reveal faults earlier. To solve this problem greedy algorithms and meta-heuristics have been widely investigated, but in most cases there is no statistically significant difference between them in terms of effectiveness. The fitness function used to guide meta-heuristics condenses the cumulative coverage scores achieved by a test case ordering using the Area Under Curve (AUC) metric. In this paper we notice that the AUC metric represents a simplified version of the hypervolume metric used in many objective optimization and we propose HGA, a Hypervolume-based Genetic Algorithm, to solve the TCP problem when using multiple test criteria. The results shows that HGA is more cost-effective than the additional greedy algorithm on large systems and on average requires 36% of the execution time required by the additional greedy algorithm.
This presentation is a critical analysis of the paper by Giuseppe Grossi & Anna Thomasson "Jointly owned companies as instruments of local government: comparative evidence from the Swedish and Italian water sectors".
The analysis was done during the lessons of Research Methodologies of the XVI cycle of the PhD course in Management and Information Technology at the University of Salerno.
Issues and implementation of a process for creating a false digital alibi.
The aim is to produce a state of the personal computer that confirming a false digital alibi, following the execution of an automated procedure, without leaving any traces of automation. The aim is to answer to the questions:
1) How reliable is a digital alibi?
2) May have been artificially created?
Within the project, are discussed the issues to consider while creating a false alibi on a machine running Mac OS X and is demonstrated that it is possible to produce artificially "human" traces of machine use.
Landfill is a Web-based platform for sharing code smell datasets. It also provides a set of APIs for programmatically accessing its data.
Anyone can contribute by: improving existing datasets or sharing and posting new datasets.
L’obiettivo di questo lavoro è migliorare l’accuratezza dei risultati forniti da un motore di
ricerca, attraverso il profiling degli utenti.
Attraverso le query fornite dall’utente e i risultati da questo selezionati, il sistema acquisisce esperienza in modo da restituire, in seguito, risultati con un grado di correttezza crescente.
Nella tesi sono messi in evidenza i modelli matematici utili al profiling.
Code smells are symptoms of poor design solutions applied by programmers during the development of software systems. While the research community devoted a lot of effort to studying and devising approaches for detecting the traditional code smells defined by Fowler, little knowledge and support is available for an emerging category of Mobile app code smells. Recently, Reimann et al. proposed a new catalogue of Android- specific code smells that may be a threat for the maintainability and the efficiency of Android applications. However, current tools working in the context of Mobile apps provide limited support and, more importantly, are not available for developers interested in monitoring the quality of their apps. To overcome these limitations, we propose a fully automated tool, coined aDoctor, able to identify 15 Android-specific code smells from the catalogue by Reimann et al. An empirical study conducted on the source code of 18 Android applications reveals that the proposed tool reaches, on average, 98% of precision and 98% of recall. We made aDoctor publicly available.
Search-based testing of procedural programs:iterative single-target or multi-...Vrije Universiteit Brussel
In the context of testing of Object-Oriented (OO) software systems, researchers have recently proposed search based approaches to automatically generate whole test suites by considering simultaneously all targets (e.g., branches) defined by the coverage criterion (multi-target approach). The goal of whole suite approaches is to overcome the problem of wasting search budget that iterative single-target approaches (which iteratively generate test cases for each target) can encounter in case of infeasible targets. However, whole suite approaches have not been implemented and experimented in the context of procedural programs. In this paper we present OCELOT (Optimal Coverage sEarch-based tooL for sOftware Testing), a test data generation tool for C programs which implements both a state-of-the-art whole suite approach and an iterative single-target approach designed for a parsimonious use of the search budget. We also present an empirical study conducted on 35 open-source C programs to compare the two approaches implemented in OCELOT. The results indicate that the iterative single-target approach provides a higher efficiency while achieving the same or an even higher level of coverage than the whole suite approach.
Software-Based Energy Profiling of Android Apps: Simple, Efficient and Reliable?Vrije Universiteit Brussel
Modeling the power profile of mobile applications is a crucial activity to identify the causes behind energy leaks. To this aim, researchers have proposed hardware-based tools as well as model-based and software-based techniques to approximate the actual energy profile. However, all these solutions present their own advantages and disadvantages. Hardware-based tools are highly precise, but at the same time their use is bound to the acquisition of costly hardware components. Model-based tools require the calibration of parameters needed to correctly create a model on a specific hardware device. Software-based approaches do not need any hardware components, but they rely on battery measurements and, thus, they are hardware-assisted. These tools are cheaper and easier to use than hardware-based tools, but they are believed to be less precise. In this paper, we take a deeper look at the pros and cons of software-based solutions investigating to what extent their measurements depart from hardware-based solutions. To this aim, we propose a software- based tool named PETrA that we compare with the hardware- based Monsoon toolkit on 54 Android apps. The results show that PETrA performs similarly to M ONSOON despite not using any sophisticated hardware components. In fact, in all the apps the mean relative error with respect to M ONSOON is lower than 0.05. Moreover, for 95% of the analyzed methods the estimation error is within 5% of the actual values measured using the hardware-based toolkit.
Una breve descrizione dell'evoluzione storica della normazione ISO. Sono contenute le serie:
- ISO 9000
- ISO 14000
- ISO 18000
- ISO 20000
- ISO 27000
- ISO 50000
Inoltre, sono contenuti confronti con EMAS e linee guida UNI-INAIL
Corso di Quality System.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
GRASS and OSGeo: a framework for archeologyMarkus Neteler
Use of GIS and geospatial data in archeology. Contribution to:
Quarto Workshop Italiano "Open Source, Free Software e Open Format nei processi di ricerca archeologica", Roma, 27 e 28 aprile 2009. Sede centrale del Consiglio Nazionale delle Ricerche (CNR)
http://www.archeo-foss.org/
Abstract:
With the widespread availability of desktop GIS, archaeologists have gained the tools to comprehensively analyze the important spatial component of their data. Initial archaeological use of GIS was (and still is in many instances) for making maps of archaeological sites. Rather quickly GIS became used for predictive modeling of site locations. More recently, viewshed analysis has seen increasing use, in efforts to understand prehistoric perceptions of the landscape.
In the last years, Open Source GIS software evolved to a powerful set of software products which support both scientific as well as common GIS users. In particular, the integration of GIS with image processing capabilities, geospatial data analysis, database management system and Web mapping software enables archaeologists to perform their tasks in a completely free environment. Since 2006, the Open Source Geospatial Foundation (OSGeo) operates as umbrella foundation for Web Mapping, Desktop GIS Applications, Geospatial Libraries, Metadata Catalog as well as the Public Geospatial Data project and the Education and Curriculum project.
In our presentation, we focus on GRASS GIS (http://grass.osgeo.org/) for spatial data analysis and visualization. GRASS is the largest Open Source GIS program currently available. The new version GRASS 6.4.0 is interoperable as it supports all common vector and raster GIS formats. Its capabilities cover raster and volume spatial analysis and modeling, time-series and landscape analysis, image processing, and visualization of 2D and 3D (voxel) raster data. Vector data can be digitized, extracted, extruded to 3D, and vector networks analyzed. Vector data are handled topologically. Vector attributes are stored in internal or externally connected databases. All general GIS tasks like map reprojection, georeferencing, and transformations are available for raster and vector data. The data storage concept of GRASS permits for single as well as multi-user access set up via network file system.
GRASS 6.4.0, the new stable release after more than one year of development and testing, brings a number of exciting enhancements to the GIS. Besides the hundreds of new module features, supported data formats, and language translations. The 6.4.0 release also runs in MS-Windows, a new installer is provided. A new graphical user interface with integrated location wizard and new vector digitizer is also included.
The presentation concludes with a series of applications relevant to archaeology including image processing, Lidar data analysis, fast viewshed analysis and more.
2014 ABP Dialogue talk: "Examples of Collaborative Data, and Free and Open So...Patrick Sunter
My presentation to the August 2014 ABP RhD "Dialogue" peer-talks series, "Examples of Collaborative Data, and Free and Open Source Software, of interest to Urban Researchers”.
This presentation introduces open source, open source GIS, OSGeo. This talk was given to the people who attended 'Capacity Building For National Surveying and Geographic Information Institute' program.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
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.
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.
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.
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.
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.
4. What is Next!?
An Android app to support
tourists activities
Next! guess your next
favourite place or look for
places next to your position
An Android app to increase
cultural baggage
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5. Next! includes multimedia
information like images and
videos fromYoutube and
other Google apps
Next! includes
historical
informations from
Wikipedia
What is Next!?
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6. Suggests in Next!
Next! “automatically” know what is the
nearest place closest to user interests
Using Search Graph, Next! traces all
sites visited by users
In this way, is easy to suggest the right
next sites for an user
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12. DATA/SERVICE REQUESTED HW/SW NEEDED
Base Map Map Server
Overlay Map Map Server
Path building External Application
Hw/Sw Analysis
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13. Choosing Hw/Sw
CloudMade provides tile
maps to Next! Navigator
Its license is narrow-free
For this reason, we
expected also the maps
provided by MQ
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14. OSM allows free access to
maps and all data you need
The overlay maps are
created by ourself, using
QuantumGIS
Choosing Hw/Sw
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20. What’s in GeoDB
In the geoDB there are data obtained from
different sources
Data for Overlay Maps
Data for Routing construction
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21. Insert Data in GeoDB
Data used for the overlay maps
inserted in the GeoDB using Spit, a
QGIS plugin
Data used for the routing construction inserted in
the GeoDB using osm2po
SPIT
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22. pgrouting allows to choose between
1) Dijkstra Shortest path
2) A-Star Shortest path
3) Shooting-Star Shortest path
Path Building
pgrouting is an open source library that provides
geospacial routing functionality
pgrouting gets the user position
by GPS and cultural site position
by Nominatim geocoder
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23. pgrouting allows to choose between
1) Dijkstra Shortest path
2) A-Star Shortest path
3) Shooting-Star Shortest path
More
efficient
Path Building
pgrouting is an open source library that provides
geospacial routing functionality
pgrouting gets the user position
by GPS and cultural site position
by Nominatim geocoder
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24. Put It All Together
System Integration
Leaflet is a JavaScript library that
allows the construction of
interactive maps
Leaflet allows the user to control
the map (zoom, classic view, night
view, satellite view)
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25. Put It All Together
LEAFLET
get POI at fixed
distance α
Now
α=10 km
from
GPS position
System Integration
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28. Pilot Test
DATA VALUE
City Rome
# Cultural Sites 12
# Parking 1
All the platform was implemented on a local server
Environment Setting
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30. Pilot Test
Test Results
OSM Quality/Cost
Base Map Quality
User Interface
Routing calculation time
Sometimes, OSM not cover
minor streets
Zoom Satellite Map
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31. conclusions
future works
Conclusions & Future Works
PostgreSQL optimization
More cultural sites, more parkings...
IntegrationTesting with Next!
using a remote server
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32. Conclusions & Future Works
We’ll submit our project to upXapp contest in
few days
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33. Thank you!
Questions and/or
comments
Dario Di Nucci d.dinucci@studenti.unisa.it
Fabio Palomba f.palomba3@studenti.unisa.it
Michele Tufano m.tufano10@studenti.unisa.it
giovedì 6 giugno 13