Real time extension for 3D-PTV Lagrangian measurements of turbulent canopy flow in a wind tunnel
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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.
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Was ist angesagt?
Space time & power.
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.
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This document proposes algorithms for floorplanning reconfigurable functional units on reconfigurable architectures. It aims to minimize fragmentation while considering device heterogeneity, reconfiguration capabilities, and inter-unit communication. The approach partitions a task graph into reconfigurable regions, floorplans units within each region, and then floorplans the regions on the device using simulated annealing. Experimental results show improvements over existing approaches in area usage and communication performance.
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Was ist angesagt? (12)
Sky Arrays - ArrayDB in action for Sky View Factor Computation
Sky Arrays - ArrayDB in action for Sky View Factor Computation
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1. There are many interesting slow radio transients that could be detected through imaging surveys like accretion flares, orphan gamma-ray bursts, and flare stars.
2. Radio surveys are increasing in sensitivity and field of view by orders of magnitude with instruments like LOFAR, enabling the detection of more rare transient events.
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REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
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.
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This document describes algorithms for detecting single radio pulses in real-time using graphics processing units (GPUs). It presents two new algorithms that use incomplete sets of boxcar filters to detect pulses at accelerated speeds with minimal signal loss. The algorithms were tested on simulated data and were found to process data 266-500 times faster than real-time on GPUs, detecting pulses with a mean 7% reduction in signal power.
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3) Experimental results show the optimized transfer time using this prediction and optimization service is much less than without optimization in most cases.
TechnicalBackgroundOverview
This document discusses Motaz El Saban's research experience and interests which focus on analyzing, modeling, learning from, and predicting digital media content such as text, images, and speech. Some key areas of research include real-time video stitching, annotating mobile videos, object and activity recognition from videos, and facial expression recognition using deep learning techniques. The document also outlines El Saban's educational background and provides an agenda for his upcoming presentation.
Ph. D. Final Dissertation SLides
This document describes Emanuele Panigati's doctoral dissertation on the SuNDroPS system for managing semantic and dynamic data in pervasive systems. It provides an overview of SuNDroPS and its components for processing streaming and historical data, including Context-ADDICT for querying heterogeneous data sources and PerLa and Tesla for information flow processing. It also describes how SuNDroPS was tested in the motivating Green Move vehicle sharing scenario.
3D-PTV - Particle Tracking Velocimetry
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
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Computational Engineering IITH Presentation
This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION
AND CLASSIFICATION USING
ARTIFICIAL INTELLIGENCE
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
An improved modulation technique suitable for a three level flying capacitor ...
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
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（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
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Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
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Applications of artificial Intelligence in Mechanical Engineering.pdf
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AI assisted telemedicine KIOSK for Rural India.pptx
Real time extension for 3D-PTV Lagrangian measurements of turbulent canopy flow in a wind tunnel
- 1. 3D-PTV and Lagrangian measurements in a wind tunnel Ron Shnapp and Alex Liberzon, Tel Aviv University NCTR, April 7-12, 2019
- 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
- 5. Basic steps
- 7. Tracking
- 8. The immediate result is a Lagrangian trajectory
- 9. 3D-PTV main focus is turbulence Which means we need the full gradient tensor along the par- ticle trajectories: ∂ui /∂xj in space and time
- 10. It had other applications, e.g. inertial clustering
- 11. MRI + 3D-PTV
- 12. 3D PTV is typically a lab system
- 13. The main bottleneck is also heavy
- 14. We had a dream: 3D-PTV for large scale systems
- 15. Need to eliminate the transfer rate bottleneck from compression to on-camera processing
- 16. Sobel edge detection based algorithm
- 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
- 19. We had to develop the know-how
- 20. Image processing algorithm on FPGA
- 21. And its implementation on a dedicated hardware
- 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)
- 24. Thank you for your attention