The document discusses high-throughput computing in engineering applications. It describes how most computing resources sit idle much of the time and how high-throughput computing can utilize these unused resources. Examples are provided of volunteer computing and distributed computing systems like Condor that can distribute engineering simulations and analyses across many computers. Case studies are presented on developing a seismic response database and performing probabilistic analysis of structural performance.
Norton Consulting provides advanced analysis, optimization, and software development services across several industries including aerospace, manufacturing, healthcare, and defense. They have expertise in areas like finite element analysis, machine vision, signal processing, biomechanics modeling, and computational electromagnetics. Their work involves developing customized solutions using techniques like topology optimization, multi-physics analysis, and high-performance computing.
Wael Dghais is a senior researcher and lecturer in electrical engineering with interests in EDA tools, modeling of nanoscale transistors, optoelectronics devices, and industrial process characterization. He received his PhD in electrical engineering from the University of Aveiro in 2013. He has over 10 years of experience in research, teaching, and industry.
Feasibility of Artificial Neural Network in Civil Engineeringijtsrd
An Artificial neural network ANN is an information processing hypothesis that is stimulated by the way natural nervous system, such as brain, process information. The using of artificial neural network in civil engineering is getting more and more credit all over the world in last decades. This soft computing method has been shown to be very effective in the analysis and solution of civil engineering problems. It is defined as a body which works out the more and more complex problem through sequential algorithms. It is designed on the basis of artificial intelligence which is proficient of storing more and more information's. In this work, we have investigated the various architectures of ANN and their learning process. The artificial neural network based method was widely applied to the civil engineering because of the strong non linear relationship between known and un known of the problems. They come with good modelling in areas where conventional approaches finite elements, finite differences etc. require large computing resources or time to solve problems. These includes to study the behaviour of building materials, structural identification and control problems, in geo technical engineering like earthquake induced liquefaction potential, in heat transfer problems in civil engineering to improve air quality, in transportation engineering like identification of traffic problems to improve its flexibility , in construction technology and management to estimate the cost of buildings and in building services issues like analyzing the water distribution network etc. Researches reveals that the method is realistic and it will be fascinated for more civil engineering applications. Vikash Singh | Samreen Bano | Anand Kumar Yadav | Dr. Sabih Ahmad ""Feasibility of Artificial Neural Network in Civil Engineering"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22985.pdf
Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/22985/feasibility-of-artificial-neural-network-in-civil-engineering/vikash-singh
Guy Leshem provides his curriculum vitae, which details his experience as a software engineer, physicist, and statistician. He has a PhD in statistics from Hebrew University, with a thesis focusing on improving machine learning algorithms. He has over 10 years of experience as a software engineer at Intel developing networking tools. Currently he works as a statistical advisor and has taught university courses.
This document is a resume for Blake Xu summarizing his background and experience. He has expertise in C/C++ and Verilog programming along with experience in testing and failure analysis. His technical skills include software languages like C/C++ and Python as well as hardware languages like Verilog and SystemVerilog. He has worked as a test engineer and interned as a test engineer and IC board designer. He holds a Master's degree in Electrical and Electronics Engineering and a Bachelor's degree in Applied Physics.
Modeling For Sustainability: Or How to Make Smart CPS Smarter?Benoit Combemale
Various disciplines use models for different purposes. An engineering model, including a software engineering model, is often developed to guide the construction of a non-existent system. A scientific model is created to better understand an existing phenomenon (i.e., an already existing system or a physical phenomenon). An engineering model may incorporate scientific models to build a smart cyber-physical system (CPS) that require an understanding of the surrounding environment to decide of the relevant adaptation to apply. Sustainability systems, i.e., smart CPS managing resource production, transport and consumption for the sake of sustainability (e.g., smart grid, city, farming system…), are typical examples of smart CPS. Due to the inherent complex nature of sustainability that must delicately balance trade-offs between social, environmental, and economic concerns, modeling challenges abound for both the scientific and engineering disciplines.
In this talk, I will present a vision that promotes a unique approach combining engineering and scientific models to enable informed decision on the basis of open and scientific knowledge, a broader engagement of society for addressing sustainability concerns, and incorporate those decisions in the control loop of smart CPS. I will introduce a research roadmap to support this vision that emphasizes the socio-technical benefits of modeling.
Artificial intelligence in civil engineering Aseena Latheef
This document summarizes a seminar report on artificial intelligence in civil engineering presented by Aseena.L. It discusses the development of artificial intelligence and intelligent optimization methods that have applications in civil engineering, such as evolutionary computation techniques like genetic algorithms. Specific applications of artificial intelligence discussed include using neural networks for construction cost estimation, project planning, and infrastructure management. The future of artificial intelligence in civil engineering is promising with more sophisticated modeling and analytical tools to make the field more precise and efficient.
Norton Consulting provides advanced analysis, optimization, and software development services across several industries including aerospace, manufacturing, healthcare, and defense. They have expertise in areas like finite element analysis, machine vision, signal processing, biomechanics modeling, and computational electromagnetics. Their work involves developing customized solutions using techniques like topology optimization, multi-physics analysis, and high-performance computing.
Wael Dghais is a senior researcher and lecturer in electrical engineering with interests in EDA tools, modeling of nanoscale transistors, optoelectronics devices, and industrial process characterization. He received his PhD in electrical engineering from the University of Aveiro in 2013. He has over 10 years of experience in research, teaching, and industry.
Feasibility of Artificial Neural Network in Civil Engineeringijtsrd
An Artificial neural network ANN is an information processing hypothesis that is stimulated by the way natural nervous system, such as brain, process information. The using of artificial neural network in civil engineering is getting more and more credit all over the world in last decades. This soft computing method has been shown to be very effective in the analysis and solution of civil engineering problems. It is defined as a body which works out the more and more complex problem through sequential algorithms. It is designed on the basis of artificial intelligence which is proficient of storing more and more information's. In this work, we have investigated the various architectures of ANN and their learning process. The artificial neural network based method was widely applied to the civil engineering because of the strong non linear relationship between known and un known of the problems. They come with good modelling in areas where conventional approaches finite elements, finite differences etc. require large computing resources or time to solve problems. These includes to study the behaviour of building materials, structural identification and control problems, in geo technical engineering like earthquake induced liquefaction potential, in heat transfer problems in civil engineering to improve air quality, in transportation engineering like identification of traffic problems to improve its flexibility , in construction technology and management to estimate the cost of buildings and in building services issues like analyzing the water distribution network etc. Researches reveals that the method is realistic and it will be fascinated for more civil engineering applications. Vikash Singh | Samreen Bano | Anand Kumar Yadav | Dr. Sabih Ahmad ""Feasibility of Artificial Neural Network in Civil Engineering"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22985.pdf
Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/22985/feasibility-of-artificial-neural-network-in-civil-engineering/vikash-singh
Guy Leshem provides his curriculum vitae, which details his experience as a software engineer, physicist, and statistician. He has a PhD in statistics from Hebrew University, with a thesis focusing on improving machine learning algorithms. He has over 10 years of experience as a software engineer at Intel developing networking tools. Currently he works as a statistical advisor and has taught university courses.
This document is a resume for Blake Xu summarizing his background and experience. He has expertise in C/C++ and Verilog programming along with experience in testing and failure analysis. His technical skills include software languages like C/C++ and Python as well as hardware languages like Verilog and SystemVerilog. He has worked as a test engineer and interned as a test engineer and IC board designer. He holds a Master's degree in Electrical and Electronics Engineering and a Bachelor's degree in Applied Physics.
Modeling For Sustainability: Or How to Make Smart CPS Smarter?Benoit Combemale
Various disciplines use models for different purposes. An engineering model, including a software engineering model, is often developed to guide the construction of a non-existent system. A scientific model is created to better understand an existing phenomenon (i.e., an already existing system or a physical phenomenon). An engineering model may incorporate scientific models to build a smart cyber-physical system (CPS) that require an understanding of the surrounding environment to decide of the relevant adaptation to apply. Sustainability systems, i.e., smart CPS managing resource production, transport and consumption for the sake of sustainability (e.g., smart grid, city, farming system…), are typical examples of smart CPS. Due to the inherent complex nature of sustainability that must delicately balance trade-offs between social, environmental, and economic concerns, modeling challenges abound for both the scientific and engineering disciplines.
In this talk, I will present a vision that promotes a unique approach combining engineering and scientific models to enable informed decision on the basis of open and scientific knowledge, a broader engagement of society for addressing sustainability concerns, and incorporate those decisions in the control loop of smart CPS. I will introduce a research roadmap to support this vision that emphasizes the socio-technical benefits of modeling.
Artificial intelligence in civil engineering Aseena Latheef
This document summarizes a seminar report on artificial intelligence in civil engineering presented by Aseena.L. It discusses the development of artificial intelligence and intelligent optimization methods that have applications in civil engineering, such as evolutionary computation techniques like genetic algorithms. Specific applications of artificial intelligence discussed include using neural networks for construction cost estimation, project planning, and infrastructure management. The future of artificial intelligence in civil engineering is promising with more sophisticated modeling and analytical tools to make the field more precise and efficient.
Scientific Data and Knowledge Management in Aerospace EngineeringAndreas Schreiber
This document discusses scientific data and knowledge management in aerospace engineering. It describes the German Aerospace Center (DLR) and its sites and employees. It then discusses simulation in aerospace and avionics, focusing on numerical codes and supporting tools used at DLR, including the TAU and TRACE CFD codes. It also discusses D-Grid, the German grid computing initiative, and AeroGrid, the aerospace community grid project within D-Grid.
The document describes research developing an artificial neural network model to predict construction costs for expressway projects in Iraq. Data on past expressway projects was collected from the Stat Commission for Roads and Bridges in Iraq. A neural network model was built and trained on this data. The model was able to predict total construction costs with 90% accuracy based on correlation and an average accuracy of 89% compared to actual costs. The model performance was found to be relatively insensitive to the number of hidden layers, momentum term, and learning rate.
Cloud Computing and Intelligent Systems: Two Fields at a CrossroadsJeffrey Wallace
Many “big data” software systems are not interactive, automated, or run in a real-time mode. The true utility of cloud computing and “big data systems” can be increased by providing an execution framework and control software that is native to cloud architectures and supports interactivity and time synchronization. In addition, a framework to integrate different artificial intelligence and machine learning algorithms is combined with the execution framework to create a powerful cloud computing system development platform.
Parametric studies for the AEC domain using InteliGrid platformMatevz Dolenc
The document discusses the InteliGrid project, which aims to build an information infrastructure for sharing resources across European engineering industries. It describes InteliGrid's architecture, which includes a portal, authorization services, and broker services. As a use case, it examines parametric studies for earthquake engineering using Incremental Dynamic Analysis (IDA) on the InteliGrid platform. Performance analysis showed near-linear speedup when using 5-25 computers versus a single computer for 280 IDA analyses.
This document discusses model executability within the GEMOC Studio. It provides an overview of the GEMOC initiative and projects, which aim to coordinate research on globalizing modeling languages. The GEMOC Studio allows users to design executable domain-specific modeling languages and edit, simulate, and animate heterogeneous models. Breakthroughs include defining modular and explicit semantics for modeling languages and integrating languages for heterogeneous model coordination. The document presents examples of debugging tools developed using the GEMOC Studio.
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
INPLANT TRAINING IN MAASTECH PROJECT CENTERmaasarun
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
BIOMEDICAL APPLICATION EMBEDDED SYSTEMS INPLANT TRAINING maasarun
This document advertises an in-plant training program conducted by MaaTech in Chennai for pre-final year engineering students. The training covers topics like embedded programming, hardware interfacing, basic electronics, embedded systems using C, PCB assembling, circuit design using OrCAD, and interfacing sensors and actuators. Students will work on latest R&D products and mini projects. Upon completion, participants will receive an in-plant training certificate. Contact information is provided for students to enroll in the program.
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
The document discusses IoT, edge computing, and machine learning. It provides an overview of edge computing and how it differs from cloud computing by processing data near its source to improve response times. It also discusses edge intelligence, which combines AI and edge computing by enabling machine learning algorithms to run on edge devices. The document outlines some challenges in edge computing like real-time scheduling on reconfigurable platforms. It summarizes some of the speaker's research on techniques like voltage scaling partitions to enable low-power edge inference on FPGAs.
B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
design of rectangular indeterminate beams using pythonsuneelabbireddy1
slide1: abstract
1. Automation in Civil Engineering: Increasing Role and Impact
2. Python Program for Structural Analysis: Achieving 99.98% Accuracy
3. Addressing Student Awareness Gap: Bridging the Knowledge Divide
Slide 2: Literature review
1. Python Applications in Civil Engineering Review
2. Python for Interactive Reinforced Concrete Structure Design
3. Enhancing Analytical Skills in Civil Engineering Education with Python
Slide3: Problem statement
1. Licensing and Cost Limitations: Expensive and restrictive licensing agreements for existing computer applications.
2. Functionality Constraints: Limitations of MS-Excel and other tools for complex calculations and data display.
3. User Skill and Efficiency: Challenges with software usability, skill requirements, and time-consuming report generation.
Slide 4: software and hardware
1. Software Tools:
2.
a. Python (IDLE, PyCharm)
b. Staad Pro
c. Google Colab
d. Jupyter Notebook
e. Anaconda Navigator
3. Hardware Compatibility:
a. Android devices (Android 8+)
b. Apple devices (iOS 14+, macOS 10+)
c. Windows devices (7, 8, 10, 11)
4. Development Platforms:
a. Python programming
b. Structural analysis (Staad Pro)
c. Cloud-based development (Google Colab)
d. Data analysis (Jupyter, Anaconda)
e. Cross-platform compatibility (Android, iOS, macOS, Windows)
Slide 4: METHODOLOGY
1. Manual Structural Analysis Methods
2. Software for Structural Analysis and Design
3. Automated Structural Analysis using Python
Slide 5,6: Algorithm and data RESULTS
1. Algorithm Description
2. Data Collection and Processing
3. Results and Findings
Slide 7, 8: ADVANTAGES AND APPLICATIONS
1. Automated Efficiency through Programming Investment
2. Customizable Open-Source Solution
3. Enhanced Performance
Slide 9: APPLICATIONS
1. Diverse Applications in Civil Engineering Fields
2. Technological Advancements in Civil Engineering
3. Innovations Transforming Civil Engineering
Slide 9, 10, 11, 12: Discussions and conclusion, Future scope REFRENCES
1. **Highly Accurate Structural Design: ** By integrating manual methods and Python programming, we achieved an impressive 99.98% accuracy in designing rectangular beams. This paves the way for a free and user-friendly licensing software, rivaling costly alternatives.
2. **Programming Empowerment for Civil Engineers: ** Introducing software languages in Civil Engineering enhances analytical skills and contributes significantly to various areas like Structural Engineering, Reinforced Concrete/Steel Design, and more. This approach fosters a "Civil Programming Community," providing cost-effective problem-solving globally.
3. **Data Science and AI Revolution: ** This project exemplifies data science and AI's role in efficient project management and application development. Envisioned is a "Civil Programming Community," offering innovative solutions and support to engineers worldwide, akin to established programming communities.
TWISummit 2019 - Return of Reconfigurable ComputingThoughtworks
Custom-hardware development is known for its challenges related to development costs, pace of execution and manufacturing issues. This is where reconfigurable computing (also known as Field Programmable Gate Arrays or FPGAs) steps in for the rescue. What are its implications for the software development industry?
Scientific Data and Knowledge Management in Aerospace EngineeringAndreas Schreiber
This document discusses scientific data and knowledge management in aerospace engineering. It describes the German Aerospace Center (DLR) and its sites and employees. It then discusses simulation in aerospace and avionics, focusing on numerical codes and supporting tools used at DLR, including the TAU and TRACE CFD codes. It also discusses D-Grid, the German grid computing initiative, and AeroGrid, the aerospace community grid project within D-Grid.
The document describes research developing an artificial neural network model to predict construction costs for expressway projects in Iraq. Data on past expressway projects was collected from the Stat Commission for Roads and Bridges in Iraq. A neural network model was built and trained on this data. The model was able to predict total construction costs with 90% accuracy based on correlation and an average accuracy of 89% compared to actual costs. The model performance was found to be relatively insensitive to the number of hidden layers, momentum term, and learning rate.
Cloud Computing and Intelligent Systems: Two Fields at a CrossroadsJeffrey Wallace
Many “big data” software systems are not interactive, automated, or run in a real-time mode. The true utility of cloud computing and “big data systems” can be increased by providing an execution framework and control software that is native to cloud architectures and supports interactivity and time synchronization. In addition, a framework to integrate different artificial intelligence and machine learning algorithms is combined with the execution framework to create a powerful cloud computing system development platform.
Parametric studies for the AEC domain using InteliGrid platformMatevz Dolenc
The document discusses the InteliGrid project, which aims to build an information infrastructure for sharing resources across European engineering industries. It describes InteliGrid's architecture, which includes a portal, authorization services, and broker services. As a use case, it examines parametric studies for earthquake engineering using Incremental Dynamic Analysis (IDA) on the InteliGrid platform. Performance analysis showed near-linear speedup when using 5-25 computers versus a single computer for 280 IDA analyses.
This document discusses model executability within the GEMOC Studio. It provides an overview of the GEMOC initiative and projects, which aim to coordinate research on globalizing modeling languages. The GEMOC Studio allows users to design executable domain-specific modeling languages and edit, simulate, and animate heterogeneous models. Breakthroughs include defining modular and explicit semantics for modeling languages and integrating languages for heterogeneous model coordination. The document presents examples of debugging tools developed using the GEMOC Studio.
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
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MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
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ORCAD PRACTICE FOR CIRCUIT DESIGN
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C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
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MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
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MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
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C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
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MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
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EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
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C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
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INPLANT TRAINING IN MAASTECH PROJECT CENTERmaasarun
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I, ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
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BIOMEDICAL APPLICATION EMBEDDED SYSTEMS INPLANT TRAINING maasarun
This document advertises an in-plant training program conducted by MaaTech in Chennai for pre-final year engineering students. The training covers topics like embedded programming, hardware interfacing, basic electronics, embedded systems using C, PCB assembling, circuit design using OrCAD, and interfacing sensors and actuators. Students will work on latest R&D products and mini projects. Upon completion, participants will receive an in-plant training certificate. Contact information is provided for students to enroll in the program.
DEAR STUDENTS,
MAASTECH OFFER INPLANT TRAINING PROGRAMME CONDUCTED FOR PRE-FINAL YEAR ENGINEERING STUDENTS
B.E/B.TECH (ECE, EEE, E&I,ICE, CSE, IT & Biomedical) B.SC. ELECTRONICS, M.SC. ELECTRONICS &DIPLOMA
IPT FIELD-ROBOTICS PROGRAMMING, EMBEDDED PROGRAMMING, JAVA,.NET,
HARDWARE INTERFACE TO SOFTWARE (PC)
BASIC ELECTRONICS AND ELECTRICAL CLASSES
BASIC EMBEDDED SYSTEMS WITH HITECH "C"
SOLDERING PRACTICE FOR PCB BOARD ASSEMBLING
SENSOR, TRANSDUCER IDENTIFIACTION AND WORKING
EMBEDDED SYSTEMS INTERFACING TO REAL WORLD
ORCAD PRACTICE FOR CIRCUIT DESIGN
STUDENTS INVOLVED IN LATEST R&D PRODUCTS
GSM, GPS and ROBOTICS Application Kits
C, VB6.0, RS232, RS485, TCP/IP (PC INTERFACE)
HOW TO MAKE MINI/MAIN PROJECTS
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B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
design of rectangular indeterminate beams using pythonsuneelabbireddy1
slide1: abstract
1. Automation in Civil Engineering: Increasing Role and Impact
2. Python Program for Structural Analysis: Achieving 99.98% Accuracy
3. Addressing Student Awareness Gap: Bridging the Knowledge Divide
Slide 2: Literature review
1. Python Applications in Civil Engineering Review
2. Python for Interactive Reinforced Concrete Structure Design
3. Enhancing Analytical Skills in Civil Engineering Education with Python
Slide3: Problem statement
1. Licensing and Cost Limitations: Expensive and restrictive licensing agreements for existing computer applications.
2. Functionality Constraints: Limitations of MS-Excel and other tools for complex calculations and data display.
3. User Skill and Efficiency: Challenges with software usability, skill requirements, and time-consuming report generation.
Slide 4: software and hardware
1. Software Tools:
2.
a. Python (IDLE, PyCharm)
b. Staad Pro
c. Google Colab
d. Jupyter Notebook
e. Anaconda Navigator
3. Hardware Compatibility:
a. Android devices (Android 8+)
b. Apple devices (iOS 14+, macOS 10+)
c. Windows devices (7, 8, 10, 11)
4. Development Platforms:
a. Python programming
b. Structural analysis (Staad Pro)
c. Cloud-based development (Google Colab)
d. Data analysis (Jupyter, Anaconda)
e. Cross-platform compatibility (Android, iOS, macOS, Windows)
Slide 4: METHODOLOGY
1. Manual Structural Analysis Methods
2. Software for Structural Analysis and Design
3. Automated Structural Analysis using Python
Slide 5,6: Algorithm and data RESULTS
1. Algorithm Description
2. Data Collection and Processing
3. Results and Findings
Slide 7, 8: ADVANTAGES AND APPLICATIONS
1. Automated Efficiency through Programming Investment
2. Customizable Open-Source Solution
3. Enhanced Performance
Slide 9: APPLICATIONS
1. Diverse Applications in Civil Engineering Fields
2. Technological Advancements in Civil Engineering
3. Innovations Transforming Civil Engineering
Slide 9, 10, 11, 12: Discussions and conclusion, Future scope REFRENCES
1. **Highly Accurate Structural Design: ** By integrating manual methods and Python programming, we achieved an impressive 99.98% accuracy in designing rectangular beams. This paves the way for a free and user-friendly licensing software, rivaling costly alternatives.
2. **Programming Empowerment for Civil Engineers: ** Introducing software languages in Civil Engineering enhances analytical skills and contributes significantly to various areas like Structural Engineering, Reinforced Concrete/Steel Design, and more. This approach fosters a "Civil Programming Community," providing cost-effective problem-solving globally.
3. **Data Science and AI Revolution: ** This project exemplifies data science and AI's role in efficient project management and application development. Envisioned is a "Civil Programming Community," offering innovative solutions and support to engineers worldwide, akin to established programming communities.
TWISummit 2019 - Return of Reconfigurable ComputingThoughtworks
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Hardware simulation for exponential blind equal throughput algorithm using sy...IJECEIAES
Scheduling mechanism is the process of allocating radio resources to User Equipment (UE) that transmits different flows at the same time. It is performed by the scheduling algorithm implemented in the Long Term Evolution base station, Evolved Node B. Normally, most of the proposed algorithms are not focusing on handling the real-time and non-real-time traffics simultaneously. Thus, UE with bad channel quality may starve due to no resources allocated for quite a long time. To solve the problems, Exponential Blind Equal Throughput (EXP-BET) algorithm is proposed. User with the highest priority metrics is allocated the resources firstly which is calculated using the EXP-BET metric equation. This study investigates the implementation of the EXP-BET scheduling algorithm on the FPGA platform. The metric equation of the EXP-BET is modelled and simulated using System Generator. This design has utilized only 10% of available resources on FPGA. Fixed numbers are used for all the input to the scheduler. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm. The output from the hardware co-simulation showed that the metric values of EXP-BET produce similar results to the Simulink environment. Thus, the algorithm is ready for prototyping and Virtex-6 FPGA is chosen as the platform.
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This document describes the development of an earthquake early warning system for Android devices. The system uses sensors in smartphones to detect earthquake vibrations and differentiate them from human motion. When an earthquake is detected, a warning is sent to other smartphones via a network. The system aims to enhance current warning systems by leveraging rising mobile and sensor technologies. It discusses developing smartphone software to capture sensor data and perform analytics to identify earthquakes. Evaluation shows smartphones can accurately detect earthquakes and create a new type of seismic network. This would improve safety for communities vulnerable to earthquakes worldwide.
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Sensor Fault Detection in IoT System Using Machine LearningIRJET Journal
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High-throughput computing in engineering
1. University
of Ljubljana
Faculty
of civil engineering
and geodesy
High-throughput computing in
engineering
CST & ECT 2008 Matevž Dolenc & Matjaž Dolšek
Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
2. Content
‣ Introduction
- Observations, utilisation of computing resources
‣ Computing environments
- Volunteer computing, high-throughput computing
‣ End-user scenarios
- A seismic response database
- A probabilistic performance assessment of a
structure
‣ Summary and future work
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
3. Important observations
‣ Modern research relies more and more on
computers - in-silica experiments.
‣ The majority of the world’s computing power is no
longer in supercomputer centres and institutional
machine rooms.
‣ Almost every organisation is sitting atop enormous
unused computing capacity that is widely distributed.
‣ In science and in engineering in general parametric
studies are of high importance.
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
4. Available computer resources
‣ UNIX® servers are actually “serving” something
less than 10 percent of the time.
‣ Most PCs do nothing for 95 percent of a typical day.
‣ Imagine ...
- ... an airline with 90 percent of its fleet on the
ground
- ... an auto maker with 40 percent of its assembly
plants idle
- ... a hotel chain with 95 percent of its rooms
unoccupied
Source: http://www-128.ibm.com/developerworks/grid/newto/index.html
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
5. Computing resource utilisation in computer
classrooms at UL-FGG
Source: http://grmada.fgg.uni-lj.si/condor-view
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
6. Computing resource utilisation in computer
classrooms at UL-FGG
Free Used
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
7. Computing resource utilisation in computer
classrooms at UL-FGG
Free Used Computer resource offline
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
8. Computing resource utilisation in computer
classrooms at UL-FGG
A computer classroom at UL-FGG
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
9. HPC vs HTC
‣ HPC – High Performance Computing
- Floating point operations per second (FLOPS)
- static environments, single large scale problems
- protocols: MPI, PVM, ...
‣ HTC – High Throughput Computing
- environment that can deliver large amounts of
processing capacity over long periods of time
- dynamic environments, parallel independent jobs,
parametric studies, ...
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
10. Volunteer computing
‣ Volunteer computing is a type of distributed
computing in which computer owners donate their
computing resources to one or more ”projects”
‣ Suitable for problems that are highly parallel in
nature, but not other types of parallel problems
‣ Example projects:
- SETI@Home, Einstein@Home, ...
‣ Different available software solutions:
- Berkeley Open Infrastructure for Network
Computing (BOINC)
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
11. Volunteer computing
‣ Technical issues
- heterogeneous distributed model, security,
connectivity, ...
‣ Non-technical issues
- Trust - can results be trusted / will project destroy
my data
‣ Why donate computing power?
- Help out science, help cure a disease, or any other
reason
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
12. Volunteer computing
Source: http://boinc.netsoft-online.com/e107 plugins/boinc/bp.php?project=2
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
13. High-throughput computing (HPC)
‣ HPC environment delivers large amounts of
computational power over a long period of time.
‣ Several computing system solutions:
- Condor, Torque, Sun Grid Engine ...
- Use of dedicated or non-dedicated computing
resources.
- Integration with different grid technology
software solutions
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
14. High-throughput computing (HPC)
‣ Condor
- ... is a batch queuing system to manage compute-
intensive jobs
- ... provides an application programming interface
compatible with Distributed Resource
Management Application (DRMAA)
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
15. High-throughput computing (HPC)
Source: http://www.cs.wisc.edu/condor/map/map.europe.color.large.gif
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
16. End-user scenarios - earthquake engineering
‣ A move from traditional single limit state
deterministic techniques to multiple performance
objectives in terms of probabilities of different
socio-economic decisions variables.
‣ A probabilistic performance assessment of a
structure
- difficult and time consuming task
- complex non-linear dynamic analyses
- # of analyses: different structural models (loss,
capacity, demand, seismic hazard), several ground
motion records, multiple levels of intensity
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
17. A seismic response database
‣ Develop tools to enable ?*2)/2.$)*-),4) !quot;#$%&'&(&)*)
?*2)/2.$4*)0,-)*$%&'&(&)*
reliable prediction of
seismic risk based on the
best knowledge regarding
earthquakes
‣ Seismic response database
6789:$)&2)/2.$4*)0,-)*$;)*4>*4$)2%*=
- new applications for E00<2.&'2,-)B
different end-users A 8-*<&)'2.$)0*.'4&
A F4*.*%*-.*$<2)'$,G$!quot;#
A #2)H$&))*))/*-'$,G$(4,&%$&4*&)
‣ Use of volunteer computing A$DDD
technology
‣ Application is currently
tested locally at UL-FGG
@-%A1)*4)B
A *-32-**4)
A 3,>*4/*-'
A 4*)*&4.C*4)
A$DDD
+,-&'*%$.,/01'2-3$4*),14.*)$5$
6789:$)*2)/2.$4*)0,-)*$;.<2*-'$)2%*=
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
18. A probabilistic performance assessment of a
structure
‣ A probabilistic performance assessment is de-aggregated into
independent models (loss, capacity, demand, seismic) ... IDA analysis
is used to determine the relation between the engineering demand
parameter and seismic intensity measure
‣ Each structural model has to be subjected to several ground motion
records, scaled to multiple levels of intensity in order to obtain
enough data about the behaviour of the structure
‣ Use of high-throughput computing technology
@87#%(quot;&$+7),#$(*9 AB#+CD<+,&'&6&-#-
!quot;quot;#$#%&'()*+%#quot;)%,-
!33$(quot;&'()*-E
F G3#*D##-
F H&'$&6
F CIquot;#$
F .)*,)%
;<!+&*&$=-(-+>)%?4$)>
.)*,)%+/01.2+3))$+)4+&5&($&6$#+quot;)738'(*9+
%#-)8%quot;#-+:+$)quot;&$+')+)%9&*(-&'()*
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
19. A probabilistic performance assessment of a
structure
‣ Performance analysis
- Number of analyses: 280
- Average analysis time: ~13 min
# of computers analysis time [hours] speed-up factor
1 61.3 1
5 14.7 4.17
10 7.1 8.63
25 2.5 24.52
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si
20. Summary and future work
‣ Different computing environments ware presented
- Enable various parametric studies or other highly
parallel analyses
- End-user scenarios and applications
- Use of spare computing resources
‣ Future work
- More research on volunteer computing is needed
- Integration with existing applications
- Offer better end-user experience
High-throughput computing in engineering CST & ECT 2008, Athens, Greece, 2-5 September 2008 mdolenc@itc.fgg.uni-lj.si