Dublinked Innovation Network Transport Event - Dr. Atif Manzoor, TCD

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The document summarizes research on smart transportation and future cities being conducted at the Distributed Systems Group at Trinity College Dublin. It discusses challenges facing urban population growth, transportation, and infrastructure. The research aims to develop smart infrastructure using multi-agent systems to manage traffic lights and transportation, collaborating smart vehicles to reduce congestion and increase safety, and smart urban sensing networks. The talks will cover challenges around congestion, pollution, accidents, and an aging population, and how the research seeks to address these through intelligent transportation systems.

Technology Business

Future Cities – Smart
Transportation Research
Dr. Atif Manzoor
Distributed Systems Group
Trinity College Dublin
Public Transport Data Event
06 Dec 2012
Lero© 2012

Agenda
• Future cities
– Challenges
– Research @ DSG

• Smart transportation
– Challenges
– Research @ DSG

Lero© 2012

Urban population growth

180,000 people move to cities every day
By 2050, ~75% of population will live in cities
Lero© 2012

Urban sprawl

Negative impact on traffic CO2 emissions
Negative impact on cost of public services
Lero© 2012

Increasing energy demand

Increase across all sectors: transport; industry; residential; services

Lero© 2012

Increasing elderly
population

In 2000, 6.9% of world’s population 65+
By 2050, 15.6% of world’s population 65+
Lero© 2012

Future cities research @
DSG
Sensing

Communications

Intelligence

Improved
Services

Lero© 2012

Research Areas
• Smart infrastructure: management of urban-scale critical
infrastructure (USCI)
– autonomic management techniques modelled as self-organising multi-agent systems
that exploit model-free learning algorithms to associate meaning and actions with
available sensor data

• Smart transportation: improving the reliability and safety of road
transportation
– advanced urban traffic control and highway management systems

• Smart urban-scale sensing: middleware and communications
architectures to allow data from both public and user-contributed
sensors to be exploited by smart cities
– wireless sensor networks, vehicular sensor networks, and participatory sensing

• Smart services: middleware for adaptable software services
– run-time statistical timing analysis, timely reconfiguration; multi-layer

Lero© 2012

Air pollution

Premature deaths increase ~150 per million (in 2000) to ~390
per million (in 2030)
Lero© 2012

Air Pollution Deaths
Premature deaths from PM10 air pollution for 2000 and 2030
(cases per million inh)
1,000
900
800
700
600
500
400
300
200
100
World

Rest of
the World

South Asia
(including India)

China

Russia

Brazil

Asia

North America

Europe

Pacific

2000
2030

OECD
Source: OECD, 2008
Lero© 2012

Cost of congestion

In 2007, congestion induced economic losses in Dublin were 4.1% of GDP

Lero© 2012

Cost of Congestion
Average time (hours) wasted in congestion every year
74

71
64
57
50

44
37

49

19

45

28

25

21 20

47

43

38 35

37

27

45

54

27

35

30
23

35

42

33

38

20

Source: Time Magazine, Texas Transportation Institute
Lero© 2012

Deaths in traffic

In 2010, RTAs were no. 1 cause of death in 15-44 year-olds in the U.S.

Lero© 2012

Smart transportation
Smart infrastructure

Collaborating smart vehicles

Less congestion

Saving time

Lero© 2012

Fewer crashes

Increased safety

Reduced pollution

Green transport

Smart Infrastructure
• Urban scale critical infrastructure modelled as multi-agent systems
– Traffic-light controllers on a junction modelled as an intelligent agent
• Learn suitable actions through interaction with environment
• Suitable for dynamic operating environments

– Urban traffic control system modelled as multi-agent systems
• Use of multi-agent cooperation to manage dependencies between agents
to improve overall system performance

– Self-organizing
• Global behaviours arise from local actions and interactions
• No central control or global system view

– Multiple performance goals/policies

Lero© 2012

Collaborating Smart
Vehicles

Lero© 2012

Challenges
• Dynamic environment
– High speed movements
– Unmanaged
– Unpredictable

• Real-time requirements
• Unreliable communication

Lero© 2012

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Dublinked is developing a new open data platform and website to enhance transparency, citizen engagement, and data-driven innovation in Dublin. The platform will integrate new visualization and social networking tools from the Route to PA Horizon 2020 project. Dublinked will launch the new platform in February 2016 after user testing and will focus on curating data and improving APIs to appeal to key user groups like government, researchers, developers and citizens. Dublinked will also work with Smart Dublin to identify urban challenges and engage citizens and stakeholders through workshops to develop solutions using open data.

Boost you Open Data with Co-Creation

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Housing Intelligence for Dublin

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Organicity - Co-creating Future Cities

Dublinked .

The document outlines principles for citizen engagement in co-creating future cities. It summarizes interviews with organizers of citizen engagement initiatives in cities like Aarhus, Santander, London, and Barcelona. 7 draft principles for citizen engagement are described. The principles emphasize empowering communities, designing for trust around change, facilitating ownership, debating across comfort zones, using challenges to drive innovation, choosing the right venues, and providing a clear process and visibility of outcomes. The document also outlines a proposed "Experimentation as a Service" journey from initial awareness and challenges to co-creation, experimentation, and examination over 17 months.

The Local Asset Mapping Project (LAMP)

Dublinked .

The 1911 Census

Dublinked .

Future Skills Needs for Data and Analytics

Dublinked .

Girls Hack Ireland

Dublinked .

The document discusses Girls Hack Ireland, an event that hosted 100 girls aged 15-17 along with 90 mentors at Dublin City University. The girls spent 8 hours remixing or building a website on the theme of "New Ireland". It also announces a hardware hackathon on June 20th at Inspire Fest in Merrion Square for Girls Hack Ireland and provides contact information for the event organizer Dr. Suzanne Little.

Dublinked - Celebrating Over Three Years of Open Data for the Dublin Region

Dublinked .

The CSO Open Data Experience

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Data, Infrastructure and Public Policy

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Startup Ireland and the Startup Gathering 2015

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Catalysing research and enterprise collaboration in the data ecosystem

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Open Data StartUp Stories in Ireland

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Roscommon County Council Open Data Portal

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Developing technology solutions for communities

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Open Data Ireland: Developing a national open data strategy

Dublinked .

Open Knowledge Ireland

Dublinked .

This document discusses making health data more relevant and accessible. It lists tools like data.gov and data.gov.uk that provide open government data. It also mentions an Open Data Census that evaluates open data in Ireland and skills resources like the School of Data and Open Data Handbook. Additionally, it references a pilot project to make hospital waiting list data more open and an upcoming Maker Party event to work on accessing and analyzing hospital data.

Data Driven Tranportation Analytics

Dublinked .

The Irish Times Data Blog

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Route to PA Project Meeting Dublinked Presentation 03.12.2015

Boost you Open Data with Co-Creation

Housing Intelligence for Dublin

Organicity - Co-creating Future Cities

The Local Asset Mapping Project (LAMP)

The 1911 Census

Future Skills Needs for Data and Analytics

Girls Hack Ireland

Dublinked - Celebrating Over Three Years of Open Data for the Dublin Region

The CSO Open Data Experience

Data, Infrastructure and Public Policy

Startup Ireland and the Startup Gathering 2015

Catalysing research and enterprise collaboration in the data ecosystem

Open Data StartUp Stories in Ireland

Roscommon County Council Open Data Portal

Developing technology solutions for communities

Open Data Ireland: Developing a national open data strategy

Open Knowledge Ireland

Data Driven Tranportation Analytics

The Irish Times Data Blog

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5th LF Energy Power Grid Model Meet-up Slides

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5th Power Grid Model Meet-up It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology. Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. What to expect For the upcoming meetup we are organizing, we have an exciting lineup of activities planned: -Insightful presentations covering two practical applications of the Power Grid Model. -An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024. -An interactive brainstorming session to discuss and propose new feature requests. -An opportunity to connect with fellow Power Grid Model enthusiasts and users.

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Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more. The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications. We’ll discuss and demo the benefits of UiPath Apps and connectors including: Creating a compelling user experience for any software, without the limitations of APIs. Accelerating the app creation process, saving time and effort Enjoying high-performance CRUD (create, read, update, delete) operations, for seamless data management. Speakers: Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP Charlie Greenberg, host

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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/ DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen! Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell. Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten. Diese Themen werden behandelt - Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten - Wie funktionieren CCB- und CCX-Lizenzen wirklich? - Verstehen des DLAU-Tools und wie man es am besten nutzt - Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw. - Praxisbeispiele und Best Practices zum sofortigen Umsetzen

Dandelion Hashtable: beyond billion requests per second on a commodity server

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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).

Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe

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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market. Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.

GNSS spoofing via SDR (Criptored Talks 2024)

Javier Junquera

In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security. This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing. The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.

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Mutation Testing for Task-Oriented Chatbots

Pablo Gómez Abajo

Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots. To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.

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Generating privacy-protected synthetic data using Secludy and Milvus

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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

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Dublinked Innovation Network Transport Event - Dr. Atif Manzoor, TCD

8. Research Areas • Smart infrastructure: management of urban-scale critical infrastructure (USCI) – autonomic management techniques modelled as self-organising multi-agent systems that exploit model-free learning algorithms to associate meaning and actions with available sensor data • Smart transportation: improving the reliability and safety of road transportation – advanced urban traffic control and highway management systems • Smart urban-scale sensing: middleware and communications architectures to allow data from both public and user-contributed sensors to be exploited by smart cities – wireless sensor networks, vehicular sensor networks, and participatory sensing • Smart services: middleware for adaptable software services – run-time statistical timing analysis, timely reconfiguration; multi-layer Lero© 2012

12. Air Pollution Deaths Premature deaths from PM10 air pollution for 2000 and 2030 (cases per million inh) 1,000 900 800 700 600 500 400 300 200 100 World Rest of the World South Asia (including India) China Russia Brazil Asia North America Europe Pacific 2000 2030 OECD Source: OECD, 2008 Lero© 2012

14. Cost of Congestion Average time (hours) wasted in congestion every year 74 71 64 57 50 44 37 49 19 45 28 25 21 20 47 43 38 35 37 27 45 54 27 35 30 23 35 42 33 38 20 Source: Time Magazine, Texas Transportation Institute Lero© 2012

17. Smart Infrastructure • Urban scale critical infrastructure modelled as multi-agent systems – Traffic-light controllers on a junction modelled as an intelligent agent • Learn suitable actions through interaction with environment • Suitable for dynamic operating environments – Urban traffic control system modelled as multi-agent systems • Use of multi-agent cooperation to manage dependencies between agents to improve overall system performance – Self-organizing • Global behaviours arise from local actions and interactions • No central control or global system view – Multiple performance goals/policies Lero© 2012

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