Catch! Workshop concept 1 - Using data to minimise the disruption of infrastr...Peter Lindgren
Team E at the Catch! Transport Systems Innovation Workshop developed a concept to use granular travel behaviour to minimise the impact of disruption on citizens from infrastructure projects.
Ingenious - Smart cities experience and data exploitationPeter Lindgren
3 real world examples of how data can deliver efficiencies in the operation of our cities - sometimes in unexpected ways. A presentation by Paul Putland, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 2 - Improving travel plan monitoring with better, mor...Peter Lindgren
At the Catch! Transport Systems Innovation Workshop, Team B explored how better quality travel data can deliver more effective travel planning initiatives.
Catch! - The project, the data & the challengePeter Lindgren
An overview of how the Catch! project is changing the way we understand how we move around our cities, so that city authorities can better meet our transport needs. A presentation by Peter Lindgren, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 4 - Transforming Home-to-School transport with target...Peter Lindgren
Team A impressed the judges at the Catch! Transport Systems Innovation Workshop with their plan to transform Home to School service provision by using detailed data to optimise routing and evaluate interventions. They proposed to use the app and facts it reveals to capture the energy and persistence of children and turn them into agents of behaviour change!
Catch! Workshop concept 1 - Using data to minimise the disruption of infrastr...Peter Lindgren
Team E at the Catch! Transport Systems Innovation Workshop developed a concept to use granular travel behaviour to minimise the impact of disruption on citizens from infrastructure projects.
Ingenious - Smart cities experience and data exploitationPeter Lindgren
3 real world examples of how data can deliver efficiencies in the operation of our cities - sometimes in unexpected ways. A presentation by Paul Putland, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 2 - Improving travel plan monitoring with better, mor...Peter Lindgren
At the Catch! Transport Systems Innovation Workshop, Team B explored how better quality travel data can deliver more effective travel planning initiatives.
Catch! - The project, the data & the challengePeter Lindgren
An overview of how the Catch! project is changing the way we understand how we move around our cities, so that city authorities can better meet our transport needs. A presentation by Peter Lindgren, delivered at the Catch! Transport Systems Innovation Workshop.
Catch! Workshop concept 4 - Transforming Home-to-School transport with target...Peter Lindgren
Team A impressed the judges at the Catch! Transport Systems Innovation Workshop with their plan to transform Home to School service provision by using detailed data to optimise routing and evaluate interventions. They proposed to use the app and facts it reveals to capture the energy and persistence of children and turn them into agents of behaviour change!
Space for Smarter Government Programme (SSGP)techUK
Presented by Sara Huntingdon, Space for Smarter Government Programme Manager, UK Space Agency in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Presentation by Anne Yvrande-Billon at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Bruce Thompson on digital disruption and the environment OCESAdmin
Bruce Thompson talks about land capability mapping in the Victorian context at IPAA Public Sector Week session on digital disruption and the environment, sponsored by the Commissioner for Environmental Sustainability and Nous Group.
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of MobilityBigData_Europe
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Data Fuelling the Disruption of Mobility
Space for Smarter Government Programme (SSGP)techUK
Presented by Sara Huntingdon, Space for Smarter Government Programme Manager, UK Space Agency in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Presentation by Anne Yvrande-Billon at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Bruce Thompson on digital disruption and the environment OCESAdmin
Bruce Thompson talks about land capability mapping in the Victorian context at IPAA Public Sector Week session on digital disruption and the environment, sponsored by the Commissioner for Environmental Sustainability and Nous Group.
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of MobilityBigData_Europe
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Data Fuelling the Disruption of Mobility
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
3. Problem Statement: How can Local Authorities get
quantifiable benefits from crowdsourced travel data?
Key Outcomes:
1. What value can the data collected bring to LAs &
which roles within LAs would benefit from that
data?
2. How can we ensure widespread adoption of the
app, so that the data is reliable and
representative?
3. What are the key next steps?