Speaker: Dr. Mohammad Noshad
Postdoctoral Fellow
Department of Electrical Engineering
Harvard University, Cambridge, USA
Title: High-Speed Wireless Connectivity through Lights
Time: Saturday, February 4, 2017, 12:30 – 14:00
Location: School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...knowdiff
This document proposes Linked Data-driven Web Components (LD-R) to build flexible and reusable user interfaces for Semantic Web applications. LD-R uses semantic markup, configurations and scopes to create reusable RDF and user-defined components. It implements a reactive architecture with Linked Data, microservices and isomorphic components. Example uses of LD-R include facets browsers and editing interfaces for datasets. The document concludes that LD-R bridges Semantic Web technologies and Web Components to provide richer discovery, integration and adaptation of components while improving standardization and reusability of Semantic Web application user interfaces.
Scheduling for cloud systems with multi level data localityknowdiff
Speaker: Ali Yekkehkhany
(1)Time: Monday, Jan 4, 2016, 13:00- 15:00
(1)Location: School of Electrical Engineering, Iran University of Science and Technology
(2)Time: Tuesday, Jan 12, 2016, 12:30- 14:00
(2)Location: School of Electrical and Computer Engineering, University of Tehran
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...knowdiff
The document discusses automated testing techniques for web applications. It proposes feedback-directed exploration to generate test models more effectively than exhaustive crawling. It also leverages existing manual tests to generate new automated tests by reusing inputs, assertions and exploring alternative paths. A technique called ConFix is presented to automatically generate DOM-based fixtures for unit tests by collecting constraints from code instrumentation. Finally, the document discusses detecting prevalent JavaScript code smells like lazy objects to support automated refactoring.
Knowledge based economy and power of crowd sourcing knowdiff
Patexia is a platform that connects IP-intensive businesses to subject matter experts to provide patent research and analysis through crowdsourcing. The document discusses how the global economy has transitioned to a knowledge-based economy where intellectual property plays a key role. It then provides an overview of Patexia, including its history, mission to bring more transparency and efficiency to IP using technology and collaboration, and the services it offers clients in areas like patent research, IP generation, monetization, protection, and management by building a bridge between solvers in the science/tech community and problems faced by IP organizations.
Amin tayyebi: Big Data and Land Use Change Scienceknowdiff
Ph.D.
University of California-Riverside, Center for Conservation Biology
1)Time: Tuesday, August 25, 2015, 15:30- 16:30
(1)Location: Amirkabir University of Technology, Department of Civil and Environmental Engineering
(2)Time: Wednesday, August 26, 2015, 14:00- 16:00
(2)Location: Department of Surveying Engineering, University of Tehran, N. Kargar St.
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...knowdiff
Ph.D. Candidate, Electrical and Computer Engineering,
Center for Intelligent Machines (CIM)
McGill University
(1) Time: Wednesday, Dec. 17th, 12:30-14:30 pm
(1) Location: faculty’s conference room, Isfahan University of Technology
(2) Time: Tuesday, Dec. 9th, 12:30-14:00pm
(2) Location: Room 212, School of Electrical and Computer Engineering of University of Tehran
Abstract:
Investigating low light imaging is of high importance in the field of color science from different perspectives. One of the most important challenges arises at low light levels is the issue of noise, or more generally speaking, low signal to noise ratio. In the present work, effects of different image sensor noises such as: photon noise, dark current noise, read noise, and quantization error are investigated on low light color measurements. In this regard, a typical image sensor is modeled and employed for this study. A detailed model of noise is considered in the process of implementing the image sensor model to guarantee the precision of the results. Several experiments have been performed over the implemented framework and the results show that: first, photon noise, read noise, and quantization error lead to uncertain measurements distributed around the noise free measurements and these noisy samples form an elliptical shape in the chromaticity diagram; second, even for an ideal image sensor, in very dark situations, stable measuring of color is impossible due to the physical limitation imposed by the fluctuations in photon emission rate; third, dark current noise reveals dynamic effects on color measurements by shifting their chromaticities towards the chromaticity of the camera black point; fourth, dark current dominates the other sensor noise types in the image sensor in terms of affecting measurements. Moreover, an SNR sensitivity analysis against the noise parameters is presented over different light intensities.
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systemsknowdiff
PhD Candidate,
Department of Computer science
Mälardalen University
Time: Tuesday, Dec. 30, 2014, 11:30 a.m.
Location: Computer Engineering Department, Urmia University
Abstract:
The processor is the brain of a computer system. Usually, one or more programs run on a processor where each program is typically responsible for performing a particular task or function of the system. The performance of all the tasks together results in the system functionality. In many computer systems, it is not only enough that all tasks deliver correct output, but it is also crucial that these activities are delivered in a proper time. This type of systems that have timing requirements are known as real-time systems. A scheduler is responsible for scheduling all tasks on the processor, i.e., it dictates which task to run and when to run to ensure that all tasks are carried out on time. Typically, such tasks/programs need to use the computer system’s hardware and software resources to perform their calculation. Examples of such type of resources that are shared among programs are I/O devices, buffers and memories. Technology that is used for the management of shared resources is known as resource sharing synchronization protocol.
In recent years, a shift from single-processor platforms to multiprocessor platforms has become inevitable due to availability of processor chips and requirements on increased performance. Scheduling and resource sharing protocols have been well studied for uniprocessor systems. However, in the context of multiprocessors, still such techniques are not fully mature. The shift towards multi-core technology has revealed the demand for real-time scheduling algorithms along with synchronization protocols to support real-time applications on multiprocessors, both with and without dependencies.
In this talk, we first have an introduction to real-time embedded systems. Next, we look at scheduling and resource sharing policies in uniprocessor platforms. Further, we discuss the extension of scheduling and resource sharing policies for multiprocessor platforms and present the recent challenges arisen in this context.
Biography:
Sara Afshar is a PhD student at Mälardalen University. She has received her B.Sc. degree in Electrical Engineering from Tabriz University, Iran in 2002. She worked at different engineering companies until 2009. In the year 2010 she started her M.Sc. in Embedded Systems at Mälardalen University. She obtained her Master degree in 2012 and at the same year she started her PhD studies in Mälardalen University. Currently she is working on the topic of resource sharing in multiprocessor systems. She is part of the Complex Real-Time Embedded Systems group at Mälardalen University.
Speaker: Dr. Mohammad Noshad
Postdoctoral Fellow
Department of Electrical Engineering
Harvard University, Cambridge, USA
Title: High-Speed Wireless Connectivity through Lights
Time: Saturday, February 4, 2017, 12:30 – 14:00
Location: School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...knowdiff
This document proposes Linked Data-driven Web Components (LD-R) to build flexible and reusable user interfaces for Semantic Web applications. LD-R uses semantic markup, configurations and scopes to create reusable RDF and user-defined components. It implements a reactive architecture with Linked Data, microservices and isomorphic components. Example uses of LD-R include facets browsers and editing interfaces for datasets. The document concludes that LD-R bridges Semantic Web technologies and Web Components to provide richer discovery, integration and adaptation of components while improving standardization and reusability of Semantic Web application user interfaces.
Scheduling for cloud systems with multi level data localityknowdiff
Speaker: Ali Yekkehkhany
(1)Time: Monday, Jan 4, 2016, 13:00- 15:00
(1)Location: School of Electrical Engineering, Iran University of Science and Technology
(2)Time: Tuesday, Jan 12, 2016, 12:30- 14:00
(2)Location: School of Electrical and Computer Engineering, University of Tehran
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...knowdiff
The document discusses automated testing techniques for web applications. It proposes feedback-directed exploration to generate test models more effectively than exhaustive crawling. It also leverages existing manual tests to generate new automated tests by reusing inputs, assertions and exploring alternative paths. A technique called ConFix is presented to automatically generate DOM-based fixtures for unit tests by collecting constraints from code instrumentation. Finally, the document discusses detecting prevalent JavaScript code smells like lazy objects to support automated refactoring.
Knowledge based economy and power of crowd sourcing knowdiff
Patexia is a platform that connects IP-intensive businesses to subject matter experts to provide patent research and analysis through crowdsourcing. The document discusses how the global economy has transitioned to a knowledge-based economy where intellectual property plays a key role. It then provides an overview of Patexia, including its history, mission to bring more transparency and efficiency to IP using technology and collaboration, and the services it offers clients in areas like patent research, IP generation, monetization, protection, and management by building a bridge between solvers in the science/tech community and problems faced by IP organizations.
Amin tayyebi: Big Data and Land Use Change Scienceknowdiff
Ph.D.
University of California-Riverside, Center for Conservation Biology
1)Time: Tuesday, August 25, 2015, 15:30- 16:30
(1)Location: Amirkabir University of Technology, Department of Civil and Environmental Engineering
(2)Time: Wednesday, August 26, 2015, 14:00- 16:00
(2)Location: Department of Surveying Engineering, University of Tehran, N. Kargar St.
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...knowdiff
Ph.D. Candidate, Electrical and Computer Engineering,
Center for Intelligent Machines (CIM)
McGill University
(1) Time: Wednesday, Dec. 17th, 12:30-14:30 pm
(1) Location: faculty’s conference room, Isfahan University of Technology
(2) Time: Tuesday, Dec. 9th, 12:30-14:00pm
(2) Location: Room 212, School of Electrical and Computer Engineering of University of Tehran
Abstract:
Investigating low light imaging is of high importance in the field of color science from different perspectives. One of the most important challenges arises at low light levels is the issue of noise, or more generally speaking, low signal to noise ratio. In the present work, effects of different image sensor noises such as: photon noise, dark current noise, read noise, and quantization error are investigated on low light color measurements. In this regard, a typical image sensor is modeled and employed for this study. A detailed model of noise is considered in the process of implementing the image sensor model to guarantee the precision of the results. Several experiments have been performed over the implemented framework and the results show that: first, photon noise, read noise, and quantization error lead to uncertain measurements distributed around the noise free measurements and these noisy samples form an elliptical shape in the chromaticity diagram; second, even for an ideal image sensor, in very dark situations, stable measuring of color is impossible due to the physical limitation imposed by the fluctuations in photon emission rate; third, dark current noise reveals dynamic effects on color measurements by shifting their chromaticities towards the chromaticity of the camera black point; fourth, dark current dominates the other sensor noise types in the image sensor in terms of affecting measurements. Moreover, an SNR sensitivity analysis against the noise parameters is presented over different light intensities.
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systemsknowdiff
PhD Candidate,
Department of Computer science
Mälardalen University
Time: Tuesday, Dec. 30, 2014, 11:30 a.m.
Location: Computer Engineering Department, Urmia University
Abstract:
The processor is the brain of a computer system. Usually, one or more programs run on a processor where each program is typically responsible for performing a particular task or function of the system. The performance of all the tasks together results in the system functionality. In many computer systems, it is not only enough that all tasks deliver correct output, but it is also crucial that these activities are delivered in a proper time. This type of systems that have timing requirements are known as real-time systems. A scheduler is responsible for scheduling all tasks on the processor, i.e., it dictates which task to run and when to run to ensure that all tasks are carried out on time. Typically, such tasks/programs need to use the computer system’s hardware and software resources to perform their calculation. Examples of such type of resources that are shared among programs are I/O devices, buffers and memories. Technology that is used for the management of shared resources is known as resource sharing synchronization protocol.
In recent years, a shift from single-processor platforms to multiprocessor platforms has become inevitable due to availability of processor chips and requirements on increased performance. Scheduling and resource sharing protocols have been well studied for uniprocessor systems. However, in the context of multiprocessors, still such techniques are not fully mature. The shift towards multi-core technology has revealed the demand for real-time scheduling algorithms along with synchronization protocols to support real-time applications on multiprocessors, both with and without dependencies.
In this talk, we first have an introduction to real-time embedded systems. Next, we look at scheduling and resource sharing policies in uniprocessor platforms. Further, we discuss the extension of scheduling and resource sharing policies for multiprocessor platforms and present the recent challenges arisen in this context.
Biography:
Sara Afshar is a PhD student at Mälardalen University. She has received her B.Sc. degree in Electrical Engineering from Tabriz University, Iran in 2002. She worked at different engineering companies until 2009. In the year 2010 she started her M.Sc. in Embedded Systems at Mälardalen University. She obtained her Master degree in 2012 and at the same year she started her PhD studies in Mälardalen University. Currently she is working on the topic of resource sharing in multiprocessor systems. She is part of the Complex Real-Time Embedded Systems group at Mälardalen University.
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...knowdiff
PhD student,
UCL Energy Institute
University College London (UCL)
Time: Monday, January 5, 2015 at 14:00
Location: Energy Engineering Dept., Ghasemi Ave., (North wing of Sharif University of Technology). - Ground Floor - Seminar Room 1
Abstract:
The topic of “sustainability” need to be analyzed by considering the impact of such diverse sectors as energy, material, natural resources and climate systems. The important point is that due to the “hyperconnectivity” among these sectors, ignoring their interactions, dependencies, and links in transition pathways can produce catastrophic results. For this reason, some recent studies have suggested the “nexus” approach for analyzing and modelling low-carbon future scenarios. In general, in a large-scale “nexus” approach, the system deals with complexities and feedback mechanisms resulting from the interactions of diverse sectors such as climate, energy, materials, land and water. However, for this project, the primary focus is on the interaction of material and energy as an inter-sectoral segment of the nexus approach.
In this project, the goals are to (a) model the use of materials within the transition pathways generated for a low-carbon future and (b) compare the required material flow in these low-carbon pathways with the material flow in the based projections.
Some of the applications and advantages of this research include:
• Providing science-based support for policy makers regarding the required materials for low-carbon energy systems.
• Considering realistic uncertainties associated with the material flow inside energy systems and applying appropriate probabilistic methods.
• Advancing TIAM-UCL by adding the material flow module. TIAM-UCL encompasses 16 global regions and this additional module could provide a more complete analysis regarding the distribution of required material resources within energy systems, which would generate favorable options for trade and also reduce the cost of welfare.
Narjess Afzaly: Model Your Problem with Graphs and Generate your objectsknowdiff
Generating non-isomorphic (non-equivalent) graphs has many applications in industry and in different branches of science where the problem can be modeled by graphs. We discuss the importance and the difficulty of avoiding equivalent copies when generating graphs representing the objects of your interest, say protein three-dimensional structure. We then look at the techniques of generation avoiding equivalent copies.
Computational methods applications in air pollution modeling (Dr. Yadghar)knowdiff
Computational modeling of pollutant transport, dispersion and deposition is described. Particular attention is given to transport and deposition of contaminant particles in atmospheric flows around buildings, in street canyons and near bridges. The Eulerian-Eulerian and Eulerian-Lagrangian models are outlined. Particular attention was given to the use of advanced anisotropic turbulence models and a Lagrangian particle trajectory analysis. The procedure for simulating the instantaneous turbulence fluctuating velocity vector with the aid of random field model sis described. Examples of dispersion and deposition of pollutants near buildings, in street canyons and near bridges are discussed. It is shown that the computer simulation can predict the features of the experimentally observed pollutant concentration data.
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...knowdiff
Abstract:
In this talk, we briefly introduce two major research problems involving databases and functional dependencies. First, we introduce an information-theoretic measure that evaluates a database design based on the worst possible redundancy carried in the instances. Then we propose new design guidelines to reduce the amount of redundancy that databases carry due to the presence of functional dependencies.
We also introduce the problem of repairing an inconsistent database that violates a set of functional dependencies by making the smallest possible value modifications. We show that finding an optimum solution is NP-hard. Then we explore the possibility of producing an approximate solution that can be used in data cleaning systems.
Visiting Lecturer Program (140)
Speaker: Azad Shademan
Ph.D. candidate
Department of Computing Sciences
University of Alberta, Canada
Title: Uncalibrated Image-Based Robotic Visual Servoing
Local Host: Ms. Nasim Pouraryan
Time: Wednesday, November 5, 2008, 12:30-2:00 pm
Location: Faculty of Electrical and Computer Engineering, University of Tehran, Tehran
Abstract:
Design of versatile vision-based robotic systems demands a solution with little or no dependence on system parameters. The problem of real-time vision-based control of robots has been long studied as robotic visual servoing. Most provably stable solutions to this problem require calibrated kinematic and camera models, because in a precisely calibrated system one can model the visual-motor function analytically. The uncalibrated approach has received limited attention mainly because the stability analysis is not as straightforward as that of calibrated image-based architecture. In an uncalibrated system the visual-motor function is not known, but partial derivative information (Jacobian) can be learned by tracking visual measurements during motion. In this talk, we study the uncalibrated image-based visual servoing and present different Jacobian learning methods.
knowdiff.net
Design of versatile vision-based robotic systems demands a solution with little or no dependence on system parameters. The problem of real-time vision-based control of robots has been long studied as robotic visual servoing. Most provably stable solutions to this problem require calibrated kinematic and camera models, because in a precisely calibrated system one can model the visual-motor function analytically. The uncalibrated approach has received limited attention mainly because the stability analysis is not as straightforward as that of calibrated image-based architecture. In an uncalibrated system the visual-motor function is not known, but partial derivative information (Jacobian) can be learned by tracking visual measurements during motion. In this talk, we study the uncalibrated image-based visual servoing and present different Jacobian learning methods.
Speaker: Mehran Shaghaghi
Ph.D. Candidate
Department of Physics and Astronomy, University of British Columbia, Canada
Title: Quantum Mechanics Dilemmas
Organized by the Knowledge Diffusion Network
Time: Tuesday, December 11th , 2007.
Location: Department of Physics, Sharif University of Technology, Tehran
This document provides an overview of coding theory and recent advances in low-density parity-check (LDPC) codes. It discusses Shannon's channel coding theorem and how modern error-correcting codes achieve rates close to channel capacity. LDPC codes are described as having sparse parity-check matrices and being decoded iteratively using message passing. The performance of LDPC codes can be analyzed using density evolution and threshold calculations. Linear programming decoding is introduced as an alternative decoding approach that has connections to message passing decoding.
This document summarizes research on developing an efficient higher-order accurate unstructured finite volume algorithm for inviscid compressible fluid flows. The algorithm uses an ILU preconditioned GMRES method to solve the Euler equations on unstructured meshes. Higher-order solutions of up to fourth-order accuracy were obtained. Results show the third-order solution was 1.3-1.5 times more expensive than second-order, while fourth-order was 3.5-5 times more expensive, demonstrating the efficiency of the higher-order approach. Test cases included supersonic and transonic flows, with results agreeing well with structured solvers.
Knowledge Diffusion Network
Visiting Lecturer Program (114)
Speaker: Alborz Geramifard
Ph.D. Candidate
Department of Computing Science, Edmonton, University of Alberta, Canada
Title: Incremental Least- Squares Temporal Difference Learning
Time: Tuesday, Sep 11, 2007, 12:00-1:00 pm
Location: Department of Computer Engineering, Sharif University of Technology, Tehran
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Dive into this presentation and learn about the ways in which you can buy an engagement ring. This guide will help you choose the perfect engagement rings for women.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women MagazineCIOWomenMagazine
In this article, we will dive into the extraordinary life of Ellen Burstyn, where the curtains rise on a story that's far more attractive than any script.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...knowdiff
PhD student,
UCL Energy Institute
University College London (UCL)
Time: Monday, January 5, 2015 at 14:00
Location: Energy Engineering Dept., Ghasemi Ave., (North wing of Sharif University of Technology). - Ground Floor - Seminar Room 1
Abstract:
The topic of “sustainability” need to be analyzed by considering the impact of such diverse sectors as energy, material, natural resources and climate systems. The important point is that due to the “hyperconnectivity” among these sectors, ignoring their interactions, dependencies, and links in transition pathways can produce catastrophic results. For this reason, some recent studies have suggested the “nexus” approach for analyzing and modelling low-carbon future scenarios. In general, in a large-scale “nexus” approach, the system deals with complexities and feedback mechanisms resulting from the interactions of diverse sectors such as climate, energy, materials, land and water. However, for this project, the primary focus is on the interaction of material and energy as an inter-sectoral segment of the nexus approach.
In this project, the goals are to (a) model the use of materials within the transition pathways generated for a low-carbon future and (b) compare the required material flow in these low-carbon pathways with the material flow in the based projections.
Some of the applications and advantages of this research include:
• Providing science-based support for policy makers regarding the required materials for low-carbon energy systems.
• Considering realistic uncertainties associated with the material flow inside energy systems and applying appropriate probabilistic methods.
• Advancing TIAM-UCL by adding the material flow module. TIAM-UCL encompasses 16 global regions and this additional module could provide a more complete analysis regarding the distribution of required material resources within energy systems, which would generate favorable options for trade and also reduce the cost of welfare.
Narjess Afzaly: Model Your Problem with Graphs and Generate your objectsknowdiff
Generating non-isomorphic (non-equivalent) graphs has many applications in industry and in different branches of science where the problem can be modeled by graphs. We discuss the importance and the difficulty of avoiding equivalent copies when generating graphs representing the objects of your interest, say protein three-dimensional structure. We then look at the techniques of generation avoiding equivalent copies.
Computational methods applications in air pollution modeling (Dr. Yadghar)knowdiff
Computational modeling of pollutant transport, dispersion and deposition is described. Particular attention is given to transport and deposition of contaminant particles in atmospheric flows around buildings, in street canyons and near bridges. The Eulerian-Eulerian and Eulerian-Lagrangian models are outlined. Particular attention was given to the use of advanced anisotropic turbulence models and a Lagrangian particle trajectory analysis. The procedure for simulating the instantaneous turbulence fluctuating velocity vector with the aid of random field model sis described. Examples of dispersion and deposition of pollutants near buildings, in street canyons and near bridges are discussed. It is shown that the computer simulation can predict the features of the experimentally observed pollutant concentration data.
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...knowdiff
Abstract:
In this talk, we briefly introduce two major research problems involving databases and functional dependencies. First, we introduce an information-theoretic measure that evaluates a database design based on the worst possible redundancy carried in the instances. Then we propose new design guidelines to reduce the amount of redundancy that databases carry due to the presence of functional dependencies.
We also introduce the problem of repairing an inconsistent database that violates a set of functional dependencies by making the smallest possible value modifications. We show that finding an optimum solution is NP-hard. Then we explore the possibility of producing an approximate solution that can be used in data cleaning systems.
Visiting Lecturer Program (140)
Speaker: Azad Shademan
Ph.D. candidate
Department of Computing Sciences
University of Alberta, Canada
Title: Uncalibrated Image-Based Robotic Visual Servoing
Local Host: Ms. Nasim Pouraryan
Time: Wednesday, November 5, 2008, 12:30-2:00 pm
Location: Faculty of Electrical and Computer Engineering, University of Tehran, Tehran
Abstract:
Design of versatile vision-based robotic systems demands a solution with little or no dependence on system parameters. The problem of real-time vision-based control of robots has been long studied as robotic visual servoing. Most provably stable solutions to this problem require calibrated kinematic and camera models, because in a precisely calibrated system one can model the visual-motor function analytically. The uncalibrated approach has received limited attention mainly because the stability analysis is not as straightforward as that of calibrated image-based architecture. In an uncalibrated system the visual-motor function is not known, but partial derivative information (Jacobian) can be learned by tracking visual measurements during motion. In this talk, we study the uncalibrated image-based visual servoing and present different Jacobian learning methods.
knowdiff.net
Design of versatile vision-based robotic systems demands a solution with little or no dependence on system parameters. The problem of real-time vision-based control of robots has been long studied as robotic visual servoing. Most provably stable solutions to this problem require calibrated kinematic and camera models, because in a precisely calibrated system one can model the visual-motor function analytically. The uncalibrated approach has received limited attention mainly because the stability analysis is not as straightforward as that of calibrated image-based architecture. In an uncalibrated system the visual-motor function is not known, but partial derivative information (Jacobian) can be learned by tracking visual measurements during motion. In this talk, we study the uncalibrated image-based visual servoing and present different Jacobian learning methods.
Speaker: Mehran Shaghaghi
Ph.D. Candidate
Department of Physics and Astronomy, University of British Columbia, Canada
Title: Quantum Mechanics Dilemmas
Organized by the Knowledge Diffusion Network
Time: Tuesday, December 11th , 2007.
Location: Department of Physics, Sharif University of Technology, Tehran
This document provides an overview of coding theory and recent advances in low-density parity-check (LDPC) codes. It discusses Shannon's channel coding theorem and how modern error-correcting codes achieve rates close to channel capacity. LDPC codes are described as having sparse parity-check matrices and being decoded iteratively using message passing. The performance of LDPC codes can be analyzed using density evolution and threshold calculations. Linear programming decoding is introduced as an alternative decoding approach that has connections to message passing decoding.
This document summarizes research on developing an efficient higher-order accurate unstructured finite volume algorithm for inviscid compressible fluid flows. The algorithm uses an ILU preconditioned GMRES method to solve the Euler equations on unstructured meshes. Higher-order solutions of up to fourth-order accuracy were obtained. Results show the third-order solution was 1.3-1.5 times more expensive than second-order, while fourth-order was 3.5-5 times more expensive, demonstrating the efficiency of the higher-order approach. Test cases included supersonic and transonic flows, with results agreeing well with structured solvers.
Knowledge Diffusion Network
Visiting Lecturer Program (114)
Speaker: Alborz Geramifard
Ph.D. Candidate
Department of Computing Science, Edmonton, University of Alberta, Canada
Title: Incremental Least- Squares Temporal Difference Learning
Time: Tuesday, Sep 11, 2007, 12:00-1:00 pm
Location: Department of Computer Engineering, Sharif University of Technology, Tehran
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[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
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2. Agenda
History and Background
Online Advertising Type and Pricing
Models
Major Players
Recent M&A
Future and Trends
Online Advertising ٢
3. History and Background
90s Early 2000 2005
•Banner Ads •Text Ads •Display
•Classifieds (Contextual) •Search
•Email •Multimedia (rich)
Marketing •Text ads
Online Advertising ٣
4. Value
Web is becoming hot again…
Online Advertising is
primarily responsible
Online Advertising ٤
5. Online Advertising
Revenue and Growth
Source: PwC/IAB Internet Advertising Revenue Report (www.iab.net)
Online Advertising ٥
6. Online Advertising
Revenue and Growth
$10BN in first FH 2006 FH 2007
Search 40% ($3,164) 41% ($4,097)
half of 2007 Classifieds 20% ($1,582) 17% ($1,699)
– Iran’s GDP is Referrals/Lead Generation 7%($592) 8% ($799)
$212BN E-mail 2% ($158) 2% ($200)
Display Related: 31% ($2,413) 32%($3,198)
27% increase – Rich Media (Includes Video) 6% ($475) 8%($799)
comparing to – Ad Banners / Display Ads 21% ($1,622) 21%($2,099)
2006 – Sponsorships 4% ($316) 3% ($300)
– Slotting Fees <1% (<1$) <1% (<$1)
More than $5BN
in the 2nd
quarter Source: The Interactive Advertising Bureau
(IAB) and PricewaterhouseCoopers (PwC)
Online Advertising ٦
7. Types of Online Advertising
Text (contextual)
– Search
– Web
– Inline
Display
– Static
– Rich Media
– Pop-up/Pop-under
Online Advertising ٧
8. Behavioral Advertising
Knowledge of each user’s behavior
and demographic information
Targets users based on their browsing
history and other attributes
Location, Age, Gender, Salary, etc.
Online Advertising ٨
9. Pricing Models
CPM
– Advertiser pays when an ad is shown to a user
Performance
– CPC
Advertiser pays when users click on an ad
– CPA
Advertiser pays when a click leads to an action
Sometimes even a click is not needed
Online Advertising ٩
11. Contextual Advertising
Web pages crawled by the Advertising
Network
Intelligent algorithms parse and
understand the content
Ads that are relevant to the content
are chosen real-time by the ad servers
Google AdSense, Kanoodle, IntelliText
(Inline)
Online Advertising ١١
18. Major Players – Yahoo!
New Platform: Panama
Has demographic information of a
large network of Yahoo! Users
Has started building verticals: finance,
travel, women, college, sports, auto
Recent Acquisitions
– RightMedia: $680MM
Online Advertising ١٨
19. Major Players – AOL
Led by Advertising.com
– Largest reach (90% US Internet Users)
Recent Acquisitions
– LighteningCast: Video Advertising
– 3rd Screen Media: Mobile Advertising
– ADTECH: Ad Serving Technology
– Tacoda: Behavioral Targeting
Online Advertising ١٩
20. Major Players – MSN
Microsoft AdCenter
Recent Acquisitions
– aQuantive: $6BN
Microsoft’s biggest acquisition by a large
margin
– A 1.6% stake in facebook for $240MM
Online Advertising ٢٠
22. Future and Trends
Mobile Advertising is hot
Video (pre-roll, post-roll, and in-video)
advertising is next
Contextual Advertising will continue to
grow
New technologies allow behavioral
targeting
Blog Advertising (small networks)
Online Advertising ٢٢