PROV ontology supports alignment of observational data (models)Simon Cox
Paper presented at MODSIM 2017
https://www.mssanz.org.au/modsim2017/papersbysession.html session C2.
The W3C PROV ontology provides a flexible process-flow model that can capture many specific applications. A provenance trace is the retrospective view of a workflow, with specific instance data added. Thus it provides a basis for the description of any chain of activities which generate interesting outputs, such as observations, actuations, or acts of sampling. Furthermore, its relatively generic structure and naming allows it to be used as an alignment bridge with other ontologies that have previously challenged simple mappings. In this paper we will show a harmonization of a number of important ontology patterns that can be linked through the PROV-O Owl implementation of PROV.
The alignments stack is as follows:
- PROV-O aligned to W3C OWL-Time
- PROV-O aligned to BFO
- W3C SSN/SOSA aligned to PROV-O
- OBOE, OBI and BCO (from the obo foundation) aligned to SOSA/SSN and thus PROV-O
Some of the alignments have been proposed previously, but the set described here augments both them and is larger in aggregate than previous work.
The availability of these alignments supports the fusion of data from a range of disciplines particularly in earth and environmental sciences, in particular observational data where the act of sampling and observation is understood in a provenance context.
Vocabularies, ontologies, standards for observations: developments from RDA, ...Simon Cox
Overview of recent developments in RDA Vocabulary Services Interest Group, W3C/OGC SPatial Data on the Web Working Group, and ICSU/CODATA Commission on Standards.
Presented at National Oceanography Centre, Liverpool, UK 2017-11-17
Efficient frequent pattern mining in distributed systemSaurav Kumar
Data Mining the domain of our project , is a newly developed sub-field of computer science engineering , it is the analysis step of Knowledge discovery in databases(KDD ) process and is used for extraction of data from a huge data set and make it understandable for further use. Among the Six classes of data mining our choice of interest and our project area is the Association Rule Mining. We will be applying this class of data mining in an efficient and frequent pattern for the mining of knowledge or data from Distributed System , which can be explained as a collection of set of computers that act , work and appear as one large computer.
Microsoft COCO: Common Objects in Context KhalidKhan412
Datasets are available for facial recognition, action recognition, object detection and recognition, etc. Image datasets are helpful in scene understanding and providing semantic description
SkyWatch is all about making Earth-observation data digestible and accessible. They believe that creating a single place to bring together the planet’s observational datasets will make new waves in geospatial analytics. In this session, we'll take a look at how companies can take advantage of cloud-native workflows to enable access and analysis across planetary-scale datasets. You’ll hear how SkyWatch leveraged AWS serverless technologies to build a company that transforms petabytes of sensor data from space into useful information. You'll also learn how Sinergise is merging a variety of data streams through products like Sentinel Hub, and creating actionable intelligence for its users.
PROV ontology supports alignment of observational data (models)Simon Cox
Paper presented at MODSIM 2017
https://www.mssanz.org.au/modsim2017/papersbysession.html session C2.
The W3C PROV ontology provides a flexible process-flow model that can capture many specific applications. A provenance trace is the retrospective view of a workflow, with specific instance data added. Thus it provides a basis for the description of any chain of activities which generate interesting outputs, such as observations, actuations, or acts of sampling. Furthermore, its relatively generic structure and naming allows it to be used as an alignment bridge with other ontologies that have previously challenged simple mappings. In this paper we will show a harmonization of a number of important ontology patterns that can be linked through the PROV-O Owl implementation of PROV.
The alignments stack is as follows:
- PROV-O aligned to W3C OWL-Time
- PROV-O aligned to BFO
- W3C SSN/SOSA aligned to PROV-O
- OBOE, OBI and BCO (from the obo foundation) aligned to SOSA/SSN and thus PROV-O
Some of the alignments have been proposed previously, but the set described here augments both them and is larger in aggregate than previous work.
The availability of these alignments supports the fusion of data from a range of disciplines particularly in earth and environmental sciences, in particular observational data where the act of sampling and observation is understood in a provenance context.
Vocabularies, ontologies, standards for observations: developments from RDA, ...Simon Cox
Overview of recent developments in RDA Vocabulary Services Interest Group, W3C/OGC SPatial Data on the Web Working Group, and ICSU/CODATA Commission on Standards.
Presented at National Oceanography Centre, Liverpool, UK 2017-11-17
Efficient frequent pattern mining in distributed systemSaurav Kumar
Data Mining the domain of our project , is a newly developed sub-field of computer science engineering , it is the analysis step of Knowledge discovery in databases(KDD ) process and is used for extraction of data from a huge data set and make it understandable for further use. Among the Six classes of data mining our choice of interest and our project area is the Association Rule Mining. We will be applying this class of data mining in an efficient and frequent pattern for the mining of knowledge or data from Distributed System , which can be explained as a collection of set of computers that act , work and appear as one large computer.
Microsoft COCO: Common Objects in Context KhalidKhan412
Datasets are available for facial recognition, action recognition, object detection and recognition, etc. Image datasets are helpful in scene understanding and providing semantic description
SkyWatch is all about making Earth-observation data digestible and accessible. They believe that creating a single place to bring together the planet’s observational datasets will make new waves in geospatial analytics. In this session, we'll take a look at how companies can take advantage of cloud-native workflows to enable access and analysis across planetary-scale datasets. You’ll hear how SkyWatch leveraged AWS serverless technologies to build a company that transforms petabytes of sensor data from space into useful information. You'll also learn how Sinergise is merging a variety of data streams through products like Sentinel Hub, and creating actionable intelligence for its users.
Plenary talk at the international Synchrotron Radiation Instrumentation conference in Taiwan, on work with great colleagues Ben Blaiszik, Ryan Chard, Logan Ward, and others.
Rapidly growing data volumes at light sources demand increasingly automated data collection, distribution, and analysis processes, in order to enable new scientific discoveries while not overwhelming finite human capabilities. I present here three projects that use cloud-hosted data automation and enrichment services, institutional computing resources, and high- performance computing facilities to provide cost-effective, scalable, and reliable implementations of such processes. In the first, Globus cloud-hosted data automation services are used to implement data capture, distribution, and analysis workflows for Advanced Photon Source and Advanced Light Source beamlines, leveraging institutional storage and computing. In the second, such services are combined with cloud-hosted data indexing and institutional storage to create a collaborative data publication, indexing, and discovery service, the Materials Data Facility (MDF), built to support a host of informatics applications in materials science. The third integrates components of the previous two projects with machine learning capabilities provided by the Data and Learning Hub for science (DLHub) to enable on-demand access to machine learning models from light source data capture and analysis workflows, and provides simplified interfaces to train new models on data from sources such as MDF on leadership scale computing resources. I draw conclusions about best practices for building next-generation data automation systems for future light sources.
Chemical Databases and Open Chemistry on the DesktopMarcus Hanwell
The modern chemist has access to large databases containing both experimental and calculated data. The power of HPC resources continues to increase, with more practitioners having routine access to powerful computational chemistry tools. This places an increasingly high burden on users to assimilate these resources into their workflow in order to effectively utilize resources. The creation of an open, extensible application framework that puts computational tools, data, and domain specific knowledge at the fingertips of chemists is increasingly important. A data-centric approach to chemistry, storing all data in a searchable database, will empower users to efficiently collaborate, innovate, and push the frontiers of research. Providing an open, user-friendly and extensible application will open up new tools to experimental chemists, while providing computational chemists the ability to address greater challenges. Additionally, by distributing experimental and computational data across the research community, incorporating cheminformatics analytics techniques, and providing visual search for chemical structures, the workflow of both groups can be significantly improved. This requires suitable data formats for data exchange, and databases with appropriate APIs for querying, and uploading data in order to effectively share. This talk will discuss recent progress made in developing a suite of open chemistry applications on the desktop. The applications can query online databases, such as the NIH structure resolver service, download and manipulate structures, and prepare input files for standalone computational chemistry codes. Another application developed to submit jobs, monitor and retrieve results from HPC resources will also be shown, and a desktop chemistry database browser. The Quixote project aims to establish standards for data exchange in computational chemistry, along with data repositories for organizations. Establishing these standards is important to promote open, reproducible chemistry, and their integration into user-friendly desktop applications will promote their integration in the standard workflow of researchers.
Srihitha Technologies provides Datastage Online Training in Ameerpet by real time Experts. For more information about Datastage online training in Ameerpet call 9885144200 / 9394799566.
Filipe paternot - Case Study: Zabbix Deployment at Globo.comZabbix
This talk will cover two years of Zabbix deployment at Globo.com - the web branch of Rede Globo, a major media player in Brazil providing access to media products to more than 1,8 million visitors hourly, 45 millions each day.
The case study will include migration from legacy systems, integration, templates and deployment, suming up the challenges, solutions and the gained knowledge.
Zabbix Conference 2015
Object extraction from satellite imagery using deep learningAly Abdelkareem
Presentation for extract objects from satellite imagery using deep learning techniques. you find a comparison between state-of-art approaches in computer vision.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
Plenary talk at the international Synchrotron Radiation Instrumentation conference in Taiwan, on work with great colleagues Ben Blaiszik, Ryan Chard, Logan Ward, and others.
Rapidly growing data volumes at light sources demand increasingly automated data collection, distribution, and analysis processes, in order to enable new scientific discoveries while not overwhelming finite human capabilities. I present here three projects that use cloud-hosted data automation and enrichment services, institutional computing resources, and high- performance computing facilities to provide cost-effective, scalable, and reliable implementations of such processes. In the first, Globus cloud-hosted data automation services are used to implement data capture, distribution, and analysis workflows for Advanced Photon Source and Advanced Light Source beamlines, leveraging institutional storage and computing. In the second, such services are combined with cloud-hosted data indexing and institutional storage to create a collaborative data publication, indexing, and discovery service, the Materials Data Facility (MDF), built to support a host of informatics applications in materials science. The third integrates components of the previous two projects with machine learning capabilities provided by the Data and Learning Hub for science (DLHub) to enable on-demand access to machine learning models from light source data capture and analysis workflows, and provides simplified interfaces to train new models on data from sources such as MDF on leadership scale computing resources. I draw conclusions about best practices for building next-generation data automation systems for future light sources.
Chemical Databases and Open Chemistry on the DesktopMarcus Hanwell
The modern chemist has access to large databases containing both experimental and calculated data. The power of HPC resources continues to increase, with more practitioners having routine access to powerful computational chemistry tools. This places an increasingly high burden on users to assimilate these resources into their workflow in order to effectively utilize resources. The creation of an open, extensible application framework that puts computational tools, data, and domain specific knowledge at the fingertips of chemists is increasingly important. A data-centric approach to chemistry, storing all data in a searchable database, will empower users to efficiently collaborate, innovate, and push the frontiers of research. Providing an open, user-friendly and extensible application will open up new tools to experimental chemists, while providing computational chemists the ability to address greater challenges. Additionally, by distributing experimental and computational data across the research community, incorporating cheminformatics analytics techniques, and providing visual search for chemical structures, the workflow of both groups can be significantly improved. This requires suitable data formats for data exchange, and databases with appropriate APIs for querying, and uploading data in order to effectively share. This talk will discuss recent progress made in developing a suite of open chemistry applications on the desktop. The applications can query online databases, such as the NIH structure resolver service, download and manipulate structures, and prepare input files for standalone computational chemistry codes. Another application developed to submit jobs, monitor and retrieve results from HPC resources will also be shown, and a desktop chemistry database browser. The Quixote project aims to establish standards for data exchange in computational chemistry, along with data repositories for organizations. Establishing these standards is important to promote open, reproducible chemistry, and their integration into user-friendly desktop applications will promote their integration in the standard workflow of researchers.
Srihitha Technologies provides Datastage Online Training in Ameerpet by real time Experts. For more information about Datastage online training in Ameerpet call 9885144200 / 9394799566.
Filipe paternot - Case Study: Zabbix Deployment at Globo.comZabbix
This talk will cover two years of Zabbix deployment at Globo.com - the web branch of Rede Globo, a major media player in Brazil providing access to media products to more than 1,8 million visitors hourly, 45 millions each day.
The case study will include migration from legacy systems, integration, templates and deployment, suming up the challenges, solutions and the gained knowledge.
Zabbix Conference 2015
Object extraction from satellite imagery using deep learningAly Abdelkareem
Presentation for extract objects from satellite imagery using deep learning techniques. you find a comparison between state-of-art approaches in computer vision.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
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.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
1. www.data61.csiro.au
A Benchmark for Simulated
Manipulation
Jack Collins, David Howard, Juxi Leitner
Queensland University of Technology (QUT), Brisbane, Australia
Data61/CSIRO, Brisbane, Australia
2. • Currently we have protocols, benchmarks and object
data sets for manipulation.
• Benchmarks and data sets are all for real-world
manipulation but a lot of research is undertaken
primarily or initially in simulation.
• In the context of manipulation how can we validate our
simulation as transferable to the real world?
• Who will this be useful for?
• Manipulation Community
• Sim2Real
• Simulator/Physics Engine Developers
Motivation
(Image: Leitner et al., 2017)
(Image: Calli et al., 2015)
A Benchmark for Simulated Manipulation | Jack Collins2 |
3. Protocol for Real-World
Data
• Setup
• State Elements Monitored
• File Formats
Protocol for Simulation
• Setup
• State Elements Monitored
• File Formats
Benchmark
• Metrics
Planned Benchmarking Protocol
(Image: Collins et al., 2019)
(Image: Collins et al., 2019)
A Benchmark for Simulated Manipulation | Jack Collins3 |
4. Real-world Data
• Setup
- YCB Protocol Template
• Workspace
• Robot (Type, Control, etc.)
• Positions of Objects
• Coordinate Frame
• Frequency of Data Recording (100Hz)
• Repetitions (20)
• State Elements
• 6DOF Bodies (Wrist position and Additional objects)
• File Format
• CSV file with added header
Time X-Pos Y-Pos Z-Pos W-Quat X-Quat Y-Quat Z-Quat …
0.000
0.001
A Benchmark for Simulated Manipulation | Jack Collins4 |
5. Simulation
Time X-Pos Y-Pos Z-Pos W-Quat X-Quat Y-Quat Z-Quat …
0.00
0.05
• Setup
- YCB Protocol Template
• Workspace
• Robot (Type, Control, etc.)
• Positions of Objects
• Coordinate Frame
• Frequency of Data Recording (20Hz)
• Repetitions
• State Elements
• 6DOF Bodies (Wrist position and Additional objects)
• File Format
• CSV file with added header
A Benchmark for Simulated Manipulation | Jack Collins5 |
6. Benchmarking
• YCB Manipulation Benchmark Template
• Metrics
- Calculate throughout experimental run (20Hz) (sum/total, min, max,
mean)
• Euclidean Distance
• Rotation: Geodesic on the Unit Sphere (0-Pi)
• Delta: The change between time steps
• First Derivative: Velocity
• Second Derivative: Acceleration
• Compare real data to simulated
• Compare the CSV’s
• Using the provided script, generate metrics to benchmark
• Submit simulator data to display score publicly
𝑒𝑒 = 𝑠𝑠𝑥𝑥 − 𝑚𝑚𝑥𝑥
2 + 𝑠𝑠𝑦𝑦 − 𝑚𝑚𝑦𝑦
2
+ 𝑠𝑠𝑧𝑧 − 𝑚𝑚𝑧𝑧
2
A Benchmark for Simulated Manipulation | Jack Collins6 |
7. Tasks
Things that will expose flaws in a
simulator
• Heavy objects
• Dumbbells
• Robot Kinematics
• Interaction with objects
• Drop a sphere
• Roll a sphere
• Roll a cylinder
• Roll a cone
• Knock over a cuboid
• Multiple interactions
• Push multiple cuboids across a tabletop
• Push cylinders and cuboids
• Large Surface area
• Wave around a rigid sheet
• Long Levers
• Move a broom handle or something around
Tasks relevant to the community
• Kitchen Tasks
• Unscrew a jar lid
• Stir spoon in saucepan
• Cluttered Picking/Packing
• Pack/Unpack cuboids into box
• Stacking
• Peg-In-Hole
• Buttons/Switches/Handles
A Benchmark for Simulated Manipulation | Jack Collins7 |