Three-dimensional Particle Tracking Velocimetry is the state-of-the-art fluid flow measurement method, providing a unique view into Lagrangian statistics of a turbulent flow in the urban canopy wind tunnel model.
This is the first poster I presented as part of my PhD. It focuses on executing N-body simulations using GRAPE specialized hardware on machines in different continents.
Surveillance scene classification using machine learningUtkarsh Contractor
The problem of scene classification in surveillance footage is of great importance for ensuring security in public areas. With challenges such as low quality feeds, occlusion, viewpoint variations, background clutter etc. The task is both challenging and error-prone. Therefore it is important to keep the false positives low to maintain a high accuracy of detection. In this paper, we adapt high performing CNN architectures to identify abandoned luggage in a surveillance feed. We explore several CNN based approaches, from Transfer Learning on the Imagenet dataset to object classification using Faster R-CNNs on the COCO dataset. Using network visualization techniques, we gain insight into what the neural network sees and the basis of classification decision. The experiments have been conducted on real world datasets, and highlights the complexity in such classifications. Obtained results indicate that a combination of proposed techniques outperforms the individual approaches.
Artificial Neural Networks for Storm Surge Prediction in North CarolinaAnton Bezuglov
Feedforward Artificial Neural network (FF ANN) for storm surge prediction in North Carolina. Presentation at Coastal Resilience Center by Anton Bezuglov, Ph.D. Usage of TensorFlow and Python with links to the code on GitHub.
This is the first poster I presented as part of my PhD. It focuses on executing N-body simulations using GRAPE specialized hardware on machines in different continents.
Surveillance scene classification using machine learningUtkarsh Contractor
The problem of scene classification in surveillance footage is of great importance for ensuring security in public areas. With challenges such as low quality feeds, occlusion, viewpoint variations, background clutter etc. The task is both challenging and error-prone. Therefore it is important to keep the false positives low to maintain a high accuracy of detection. In this paper, we adapt high performing CNN architectures to identify abandoned luggage in a surveillance feed. We explore several CNN based approaches, from Transfer Learning on the Imagenet dataset to object classification using Faster R-CNNs on the COCO dataset. Using network visualization techniques, we gain insight into what the neural network sees and the basis of classification decision. The experiments have been conducted on real world datasets, and highlights the complexity in such classifications. Obtained results indicate that a combination of proposed techniques outperforms the individual approaches.
Artificial Neural Networks for Storm Surge Prediction in North CarolinaAnton Bezuglov
Feedforward Artificial Neural network (FF ANN) for storm surge prediction in North Carolina. Presentation at Coastal Resilience Center by Anton Bezuglov, Ph.D. Usage of TensorFlow and Python with links to the code on GitHub.
1. Space, Time, Power: Evolving Concerns for Parallel Algorithms February 2008
2. Real and Abstract Parallel Systems • Space: where are the processors located? • Time: how does location affect the time of algorithms? • Power: what happens when power is a constraint?
3. Some Real Systems: IBM BlueGene/L 212,992 CPUs 478 Tflops #1 supercomputer since 11/04 At Lawrence Livermore Nat’l Lab ≈ $200 Million 3-d toroidal interconnect Max distance (# proc)1/3
4. Another Real System: ZebraNet PI M M a r t o n o s i
5. Location, Location, Location • Processors may only be able to communicate with nearby processors • or, time to communicate is a function of distance • or, many processors trying to communicate to ones far away can create communication bottleneck • Feasible, efficient programs need to take location into account
6. What if Space is actually Computers? Cellular Automata • Finite automata, next state depends on current state and neighbors’ states: location matters! • ≈ 1950 von Neumann used as a model of parallelism and interaction in space • Other research: Burks & al. at UM, Conway, Wolfram,… • Can model leaf growth, traffic flow, etc.
7. Parallel Algorithms: Time Maze of black/white pixels, one per processor in CA. Can I get out? Nature-like propagation algorithm: time linear in area Beyer, Levialdi ≈ 1970: time linear in edgelength. CA as parallel computer, not just nature simulator
At the Knime Berlin summit 2016, Prof. Dr. Dominique Genoud presented a novel way to implement a KNIME workflow that perform machine learning and signal processing on an Android platform. The use case was to detect soft falls (not from a standing position) using an Android watch. This application has a big impact on how we can detect automatically when elderly people fall from their bed of their chair. This work was originally based on the Master Thesis in Business Administration realized by Vincent Cuendet in 2015 at the HES-SO with the help of the FST (Fédération Suisse pour les Téléthèses), an organization that helps disabled and elderly people to keep their autonomy.
With the HPC Cloud facility, SURFsara offers self-service, dynamically scalable and fully configurable HPC systems to the Dutch academic community. Users have, for example, a free choice of operating system and software.
The HPC Cloud offers full control over a HPC cluster, with fast CPUs and high memory nodes and it is possible to attach terabytes of local storage to a compute node. Because of this flexibility, users can fully tailor the system for a particular application. Long-running and small compute jobs are equally welcome. Additionally, the system facilitates collaboration: users can share control over their virtual private HPC cluster with other users and share processing time, data and results. A portal with wiki, fora, repositories, issue system, etc. is offered for collaboration projects as well.
Real-Time Analysis of Streaming Synchotron Data: SCinet SC19 Technology Chall...Globus
This project, which involved streaming light source data from the SC19 show floor to Argonne’s Leadership Computing Facility (ALCF) outside Chicago, won the top prize at the inaugural SCinet Technology Challenge at SC19 in Denver, CO.
Toward Real-Time Analysis of Large Data Volumes for Diffraction Studies by Ma...EarthCube
Talk at the EarthCube End-User Domain Workshop for Rock Deformation and Mineral Physics Research.
By Martin Kunz, Lawrence Berkeley National Laboratory
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment csandit
In general, a distributed processing is not suitable for dealing with image data stream due to the
network load problem caused by communications of frames. For this reason, image data stream
processing has operated in just one node commonly. However, we need to process image data
stream in a distributed environment in a big data era due to increase in quantity and quality of
multimedia data. In this paper, we shall present a real-time pedestrian detection methodology in
a distributed environment which processes image data stream in real-time on Apache Storm
framework. It achieves sharp speed up by distributing frames onto several nodes called bolts,
each of which processes different regions of image frames. Moreover, it can reduce the
overhead caused by synchronization by computation bolts which returns only the processing
results to the merging bolts.
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENTcscpconf
In general, a distributed processing is not suitable for dealing with image data stream due to the
network load problem caused by communications of frames. For this reason, image data stream
processing has operated in just one node commonly. However, we need to process image data
stream in a distributed environment in a big data era due to increase in quantity and quality of
multimedia data. In this paper, we shall present a real-time pedestrian detection methodology in
a distributed environment which processes image data stream in real-time on Apache Storm
framework. It achieves sharp speed up by distributing frames onto several nodes called bolts,
each of which processes different regions of image frames. Moreover, it can reduce the
overhead caused by synchronization by computation bolts which returns only the processing
results to the merging bolts.
1. Space, Time, Power: Evolving Concerns for Parallel Algorithms February 2008
2. Real and Abstract Parallel Systems • Space: where are the processors located? • Time: how does location affect the time of algorithms? • Power: what happens when power is a constraint?
3. Some Real Systems: IBM BlueGene/L 212,992 CPUs 478 Tflops #1 supercomputer since 11/04 At Lawrence Livermore Nat’l Lab ≈ $200 Million 3-d toroidal interconnect Max distance (# proc)1/3
4. Another Real System: ZebraNet PI M M a r t o n o s i
5. Location, Location, Location • Processors may only be able to communicate with nearby processors • or, time to communicate is a function of distance • or, many processors trying to communicate to ones far away can create communication bottleneck • Feasible, efficient programs need to take location into account
6. What if Space is actually Computers? Cellular Automata • Finite automata, next state depends on current state and neighbors’ states: location matters! • ≈ 1950 von Neumann used as a model of parallelism and interaction in space • Other research: Burks & al. at UM, Conway, Wolfram,… • Can model leaf growth, traffic flow, etc.
7. Parallel Algorithms: Time Maze of black/white pixels, one per processor in CA. Can I get out? Nature-like propagation algorithm: time linear in area Beyer, Levialdi ≈ 1970: time linear in edgelength. CA as parallel computer, not just nature simulator
At the Knime Berlin summit 2016, Prof. Dr. Dominique Genoud presented a novel way to implement a KNIME workflow that perform machine learning and signal processing on an Android platform. The use case was to detect soft falls (not from a standing position) using an Android watch. This application has a big impact on how we can detect automatically when elderly people fall from their bed of their chair. This work was originally based on the Master Thesis in Business Administration realized by Vincent Cuendet in 2015 at the HES-SO with the help of the FST (Fédération Suisse pour les Téléthèses), an organization that helps disabled and elderly people to keep their autonomy.
With the HPC Cloud facility, SURFsara offers self-service, dynamically scalable and fully configurable HPC systems to the Dutch academic community. Users have, for example, a free choice of operating system and software.
The HPC Cloud offers full control over a HPC cluster, with fast CPUs and high memory nodes and it is possible to attach terabytes of local storage to a compute node. Because of this flexibility, users can fully tailor the system for a particular application. Long-running and small compute jobs are equally welcome. Additionally, the system facilitates collaboration: users can share control over their virtual private HPC cluster with other users and share processing time, data and results. A portal with wiki, fora, repositories, issue system, etc. is offered for collaboration projects as well.
Real-Time Analysis of Streaming Synchotron Data: SCinet SC19 Technology Chall...Globus
This project, which involved streaming light source data from the SC19 show floor to Argonne’s Leadership Computing Facility (ALCF) outside Chicago, won the top prize at the inaugural SCinet Technology Challenge at SC19 in Denver, CO.
Toward Real-Time Analysis of Large Data Volumes for Diffraction Studies by Ma...EarthCube
Talk at the EarthCube End-User Domain Workshop for Rock Deformation and Mineral Physics Research.
By Martin Kunz, Lawrence Berkeley National Laboratory
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment csandit
In general, a distributed processing is not suitable for dealing with image data stream due to the
network load problem caused by communications of frames. For this reason, image data stream
processing has operated in just one node commonly. However, we need to process image data
stream in a distributed environment in a big data era due to increase in quantity and quality of
multimedia data. In this paper, we shall present a real-time pedestrian detection methodology in
a distributed environment which processes image data stream in real-time on Apache Storm
framework. It achieves sharp speed up by distributing frames onto several nodes called bolts,
each of which processes different regions of image frames. Moreover, it can reduce the
overhead caused by synchronization by computation bolts which returns only the processing
results to the merging bolts.
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENTcscpconf
In general, a distributed processing is not suitable for dealing with image data stream due to the
network load problem caused by communications of frames. For this reason, image data stream
processing has operated in just one node commonly. However, we need to process image data
stream in a distributed environment in a big data era due to increase in quantity and quality of
multimedia data. In this paper, we shall present a real-time pedestrian detection methodology in
a distributed environment which processes image data stream in real-time on Apache Storm
framework. It achieves sharp speed up by distributing frames onto several nodes called bolts,
each of which processes different regions of image frames. Moreover, it can reduce the
overhead caused by synchronization by computation bolts which returns only the processing
results to the merging bolts.
3D-PTV is a 3D Particle Tracking Velocimetry experimental technique used in the experimental research of turbulence. main source of information is http://ptvwiki.netcipia.net
Similar to Real time extension for 3D-PTV Lagrangian measurements of turbulent canopy flow in a wind tunnel (20)
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
2. Outline
• What is the three-dimensional particle tracking velocimetry
• What is the main contribution to turbulence research
• What are the limitations and possible solutions
• The (only) working solution example - Ron Shnapp
3. The take-home message
• You can do it and you better do it
• Real-time image analysis on a dedicated hardware is a key for
long-recording, high-speed 3D-PTV
• Paradigms about 3D-PTV changes from in-lab table-top
experiments to wind tunnel and field experiments
• You can readily get data sets of millions of tracer trajectories
like the one recorded in a canopy flow model in an
environmental wind tunnel, providing Lagrangian velocity and
acceleration distributions in an urban canopy flow model
Details are in the pre-print “Real-time extension ...” by
Shnapp et al. arXiv:1806.04975
4. Let’s follow the Lagrangian path
“Marianthe” invited people inside turbulent forms to experi-
ence them as if they were a particle borne along in the flow.
Athena Tacha (1985), “Nautilus” by Philip Ball
17. Works very well for lab experiments
Raw image - binarized image - blobs marked on the original
image.
18. Real life is not like this
Raw 3D-PTV image the wind tunnel experiments: Back-
ground -¿ binary image after background subtraction, and
detection using a local adaptive filter
22. And now we are ready for the Environmental Wind Tunnel
23. Open source software suite, all on Github
• library, ‘liboptv‘, ANSI C
• PyPTV GUI for liboptv in Python
• FlowTracks - trajectories database management (see Meller
and Liberzon 2016)
• BlobRecorder - proprietary hardware/customized software (see
Shnapp et al. arxiv)
