1. Block diagrams can be used to represent subsystems in a system using inputs, outputs, and transfer functions. Multiple subsystems can be combined using rules for cascaded, parallel, and feedback systems.
2. Simplifying block diagrams allows us to find the overall system transfer function by reducing the diagram to an equivalent form. Examples show how to simplify complex diagrams.
3. Feedback control is useful for rejecting disturbances and improving tracking performance, but large feedback gains can amplify sensor noise, so a compromise is needed.
This document discusses graph signal processing and its applications. It begins by motivating the need to analyze structured data as graphs rather than as independent points. It then introduces basic concepts in graph signal processing such as representing data as graph signals on vertices, defining the graph Laplacian, and generalizing the Fourier transform to the graph spectral domain. The document outlines applications of graph signal processing tools like spectral filtering to domains such as social networks, transportation, and biomedicine.
Lightning talk from F#nctional Londoners user group meeting 04/06/2015. Briefly discusses the instrument control software we have written in F# to control a custom experiment at the University of Warwick.
함정의 초기단계 설계영역탐색(design space exploration)의 효과적 적용Jinwon Park
* 폰트가 지원되지 않아 다운로드 받아 내용 보시길 추천합니다.
본 발표자료는 2015년 가을 한국시스템엔지니어링학회 추계발표회시 발표된 자료입니다.
식스시그마의 DMAIC 프로세스를 참고하여 사업 초기단계 개략적인 설계영역을 추정하는 기법을 소개한 자료입니다.
주로 통계분석의 탐색적자료분석(exploratory design analysis)에서 활용되는 분석기법과 도구들을 이용하여 주어진 요구와 개념을 충족시킬수 있는 개략적인 설계가능영역(feasible design area)를 찾아보자는 것이 연구의도였습니다.
실제 사업계획 수립을 위해 필요한 수준의 개략적인 제원과 기능을 토대로 총획득비 추정을 위해서는 많은 인력과 시간이 소요되는 공학설계(engineering design)보다는 개념설계(concept design) 수준의 투자만으로도 필요로 하는 결과를 얻을수 있습니다.
본 예제는 소형 경비정을 대상으로 하였지만 이를 조선해양분야의 대형선박, 해양구조물은 물론 중소형 또는 대형항공기, 우주비행체, 고속전철, 무인항공기 등 우리 주변 대부분의 공학산물에 이 기법을 적용할 수 있습니다.
The document discusses various sorting algorithms and their time complexities, including:
1) Quicksort, which has an average case time complexity of O(n log n) but a worst case of O(n^2). It works by recursively partitioning an array around a pivot element.
2) Heapsort, which also has a time complexity of O(n log n). It uses a binary heap to extract elements in sorted order.
3) Counting sort and radix sort, which can sort in linear time O(n) when the input has certain properties like a limited range of values or being represented by a small number of digits.
Control system concepts by using matlabCharltonInao1
This document introduces control system concepts and how they can be analyzed using MATLAB. It discusses open and closed loop systems, Laplace transforms, state variable approaches, and MATLAB commands to analyze systems. Examples are provided on determining transfer functions, computing step and frequency responses, plotting root loci and Bode diagrams, and performing time and frequency domain analyses. Block diagrams can be reduced and overall transfer functions obtained through series and parallel combinations.
Carry-skip adders are a generalization of Manchester adders that can improve speed and reduce area/power compared to carry lookahead adders. They work by dividing the adder into stages of selected lengths and allowing the carry to skip stages where the propagate signal is 1, indicating the bits in that stage are the same. The group carry-propagate signal determines if the incoming carry can skip the entire group. This allows the carry to propagate faster than a simple ripple carry adder.
Pre-Integrated Volume-Rendering with Randomized Transfer-Functions (V3D2 Work...Frank Oellien
Usage of volume rendering techniques in Chemitry and Medicine
V3D2 Workshop 2002, Braunschweig,
Strategic DFG research initiative "V3D2" ("Distributed Processing and Exchange of Digital Documents")
1. Block diagrams can be used to represent subsystems in a system using inputs, outputs, and transfer functions. Multiple subsystems can be combined using rules for cascaded, parallel, and feedback systems.
2. Simplifying block diagrams allows us to find the overall system transfer function by reducing the diagram to an equivalent form. Examples show how to simplify complex diagrams.
3. Feedback control is useful for rejecting disturbances and improving tracking performance, but large feedback gains can amplify sensor noise, so a compromise is needed.
This document discusses graph signal processing and its applications. It begins by motivating the need to analyze structured data as graphs rather than as independent points. It then introduces basic concepts in graph signal processing such as representing data as graph signals on vertices, defining the graph Laplacian, and generalizing the Fourier transform to the graph spectral domain. The document outlines applications of graph signal processing tools like spectral filtering to domains such as social networks, transportation, and biomedicine.
Lightning talk from F#nctional Londoners user group meeting 04/06/2015. Briefly discusses the instrument control software we have written in F# to control a custom experiment at the University of Warwick.
함정의 초기단계 설계영역탐색(design space exploration)의 효과적 적용Jinwon Park
* 폰트가 지원되지 않아 다운로드 받아 내용 보시길 추천합니다.
본 발표자료는 2015년 가을 한국시스템엔지니어링학회 추계발표회시 발표된 자료입니다.
식스시그마의 DMAIC 프로세스를 참고하여 사업 초기단계 개략적인 설계영역을 추정하는 기법을 소개한 자료입니다.
주로 통계분석의 탐색적자료분석(exploratory design analysis)에서 활용되는 분석기법과 도구들을 이용하여 주어진 요구와 개념을 충족시킬수 있는 개략적인 설계가능영역(feasible design area)를 찾아보자는 것이 연구의도였습니다.
실제 사업계획 수립을 위해 필요한 수준의 개략적인 제원과 기능을 토대로 총획득비 추정을 위해서는 많은 인력과 시간이 소요되는 공학설계(engineering design)보다는 개념설계(concept design) 수준의 투자만으로도 필요로 하는 결과를 얻을수 있습니다.
본 예제는 소형 경비정을 대상으로 하였지만 이를 조선해양분야의 대형선박, 해양구조물은 물론 중소형 또는 대형항공기, 우주비행체, 고속전철, 무인항공기 등 우리 주변 대부분의 공학산물에 이 기법을 적용할 수 있습니다.
The document discusses various sorting algorithms and their time complexities, including:
1) Quicksort, which has an average case time complexity of O(n log n) but a worst case of O(n^2). It works by recursively partitioning an array around a pivot element.
2) Heapsort, which also has a time complexity of O(n log n). It uses a binary heap to extract elements in sorted order.
3) Counting sort and radix sort, which can sort in linear time O(n) when the input has certain properties like a limited range of values or being represented by a small number of digits.
Control system concepts by using matlabCharltonInao1
This document introduces control system concepts and how they can be analyzed using MATLAB. It discusses open and closed loop systems, Laplace transforms, state variable approaches, and MATLAB commands to analyze systems. Examples are provided on determining transfer functions, computing step and frequency responses, plotting root loci and Bode diagrams, and performing time and frequency domain analyses. Block diagrams can be reduced and overall transfer functions obtained through series and parallel combinations.
Carry-skip adders are a generalization of Manchester adders that can improve speed and reduce area/power compared to carry lookahead adders. They work by dividing the adder into stages of selected lengths and allowing the carry to skip stages where the propagate signal is 1, indicating the bits in that stage are the same. The group carry-propagate signal determines if the incoming carry can skip the entire group. This allows the carry to propagate faster than a simple ripple carry adder.
Pre-Integrated Volume-Rendering with Randomized Transfer-Functions (V3D2 Work...Frank Oellien
Usage of volume rendering techniques in Chemitry and Medicine
V3D2 Workshop 2002, Braunschweig,
Strategic DFG research initiative "V3D2" ("Distributed Processing and Exchange of Digital Documents")
This document describes a public transportation network as a weighted graph that can be used to find optimal paths between locations. It provides an example of finding the best route from origin L4-A to destination L6-A, listing the possible connections and their travel times.
Guided Wave Propagation Simulation by ANSYS Ping Hung Lee
1. The document describes using ANSYS to simulate guided wave propagation in pipes.
2. Key steps in the ANSYS simulation include defining the element type, material properties, geometry, meshing, applying boundary conditions like supports, and inputting a loading signal to excite the guided waves.
3. The simulation can then analyze wave propagation over time and visualize the results to study features like welded supports, bends, and corrosion affecting guided wave modes like the L(0,1) and T(0,1) modes.
This presentation was VLSI I laboratory project, which was the most painful, yet the most satisfying, the most challenging, yet the most entertaining, the most tiresome, yet the most amusing and maybe the most memorable project of my BUET life, with the most talented mind I have ever seen, Naimul Hassan, (of course, he did almost all of the work, i just volunteered). The presentation contains only raw information about our work and the cells and schematics of Cadence, but it surely missed the enormous memories behind it -- the sleepless nights, hours and hours in front of PC, confusing simulation results, confusing errors, recursive DRC and LVS errors, and after the completion, me and Naim, hugging each other and crying with happiness. Surely this was the most memorable project of my life till now (and if I don't get VLSI II, this would be the most memorable project of my entire life). A really special thanks to Dr. A. B. M. Harun-Ur-Rashid Sir, Professor, Department of Electrical and Electronic Engineering, BUET and Kanak Datta Sir, Lecturer, Department of Electrical and Electronic Engineering, BUET, for assigning us the project in order to get a good practice of the most valuable software in the world Cadence.
The document summarizes the Ford-Fulkerson algorithm for finding the maximum flow in a flow network. It defines key terms like flow network, source, sink, flow, residual graph and augmented path. It then outlines the steps of the Ford-Fulkerson algorithm to incrementally send flow along augmented paths from the source to the sink until no more such paths exist. An example applying the algorithm to find the maximum flow in a sample network is provided with illustrations of the residual capacities after each flow augmentation.
The document discusses signal flow graphs (SFG), which provide a graphical representation of the relationship between variables in a system without needing to reduce block diagrams. An SFG consists of nodes and directed branches and can only represent linear systems. The basic elements of an SFG include branches, nodes, paths, loops, and different types of loops. Mason's gain formula is presented for calculating the transfer function of a system from its SFG. Examples are given to demonstrate how to derive an SFG from a block diagram and simultaneous equations, and how to use Mason's formula to solve for paths and loops.
This document provides an overview of signal flow graphs including:
- Definitions and terminology of signal flow graphs
- Examples of constructing signal flow graphs from equations and block diagrams
- Mason's gain formula for calculating the transfer function of a system from its signal flow graph representation in 3 sentences or less
- Examples are provided to demonstrate applying Mason's gain formula to calculate transfer functions from given signal flow graphs.
This document discusses using Spark to analyze telemetry data from Mozilla. It describes how telemetry data is currently collected and processed using a map-reduce framework in Python. It then introduces Spark as a faster alternative that supports interactive analysis, machine learning, and other capabilities. The document demonstrates launching a Spark cluster on EC2 to analyze Mozilla telemetry data in an interactive tutorial.
This document provides an overview of signal flow graphs. It defines key concepts like nodes, branches, paths, loops, and loop gains. Examples are given to illustrate these concepts, such as a simple voltage-current-resistance circuit and its corresponding signal flow graph. Different types of nodes, paths, and loops are defined, including forward paths, self loops, and non-touching loops. The document serves as an introduction to representing physical systems as signal flow graphs.
Real-Time Top-R Topic Detection on Twitter with Topic Hijack FilteringKohei Hayashi
Real-time topic detection on Twitter streams is challenging due to the massive volume and speed of tweets. The authors propose a streaming non-negative matrix factorization (NMF) algorithm that can detect topics in real-time from Twitter data. The algorithm uses stochastic gradient descent to update topic distributions incrementally as tweets arrive. It also automatically detects and filters "hijacked" topics that do not follow the expected word frequency distributions through statistical testing. Experiments on a large Twitter dataset show the streaming NMF can process tweets at the full speed of the Japanese Twitter firehose while detecting meaningful topics more accurately than alternative methods.
The document discusses the equivalence between context-free grammars (CFGs) and pushdown automata (PDAs). It states that for any CFG, an equivalent PDA can be constructed to accept the language generated by the grammar, and vice versa. This allows a programming language to be specified by a CFG and implemented with a PDA in a compiler. The document also provides procedures for converting between CFGs and PDAs, including an example of constructing a PDA from a given CFG.
Fast and Scalable NUMA-based Thread Parallel Breadth-first SearchYuichiro Yasui
This document summarizes a research paper on developing a fast and scalable NUMA-based breadth-first search algorithm for graph analysis. The algorithm uses a hybrid approach that optimizes for the direction of traversal (top-down vs bottom-up) and manages memory accesses carefully on NUMA systems. Evaluation on a SGI UV 2000 system with 2560 cores and 64TB of RAM shows the algorithm achieves a 489 billion traversed edges per second, outperforming previous work.
Inside LoLA - Experiences from building a state space tool for place transiti...Universität Rostock
LoLA is a state space tool for analyzing place/transition nets that was developed starting in 1998. It uses various reduction techniques like stubborn sets, symmetries, and linear algebra to combat state space explosion. LoLA has been applied to problems in areas like model checking, business process verification, and distributed systems. Its core data structures and algorithms keep processing costs low during operations like firing transitions and state space traversal.
C-SAW: A Framework for Graph Sampling and Random Walk on GPUsPandey_G
Presentation for the paper C-SAW: A Framework for Graph Sampling and Random Walk on GPUs published in SC20.
Paper link: https://arxiv.org/pdf/2009.09103.pdf
This document discusses a supercomputer called HYPE-2 built by Santosh Pandey, Ram Sharan Chaulagain, and Prakash Gyawali under the supervision of Prof. Dr. Subarna Shakya. It provides an overview of multiprocessor and multicore systems and discusses how HYPE-2 uses a distributed memory architecture with dynamic scaling to achieve high performance computing capabilities for research applications like cryptography, data mining, and weather forecasting. Performance tests showed near-linear speedup as nodes were added, with the system able to handle complex computations through inter-process communication, though it is not as powerful as larger supercomputers.
Cloud PARTE: Elastic Complex Event Processing based on Mobile ActorsStefan Marr
Traffic monitoring or crowd management systems produce large amounts of data in the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these applications, however, increasing amounts of data as well as large and complex rule sets demand for more and more processing power and memory. In order to scale such applications, a rule-based pattern detection system needs to be distributable over multiple machines. Today’s approaches are however focused on static distribution of rules or do not support reasoning over the full set of events.
We propose Cloud PARTE, a complex event detection system that implements the Rete algorithm on top of mobile actors. These actors can migrate between machines to respond to changes in the work load distribution. Cloud PARTE is an extension of PARTE and offers the first rule engine specifically tailored for continuous complex event detection that is able to benefit from elastic systems as provided by cloud computing platforms. It supports fully automatic load balancing and supports online rules with access to the entire event pool.
QR Factorizations and SVDs for Tall-and-skinny Matrices in MapReduce Architec...Austin Benson
This document summarizes Austin Benson's presentation on QR factorizations and SVDs for tall-and-skinny matrices in MapReduce architectures. It discusses how communication-avoiding TSQR and indirect/direct TSQR algorithms can be implemented in MapReduce frameworks to compute QR factorizations and SVDs of large matrices in a distributed, parallel manner. It also compares the performance of different MapReduce algorithms for computing QR on various sized matrices.
Prediction of the Propeller Performance at Different Reynolds Number Regimes ...João Baltazar
In this study, a Reynolds averaged Navier-Stokes solver is used for prediction of the propeller performance in open-water conditions at different Reynolds numbers ranging from 10^4 to 10^7. The k-\omega SST turbulence model and the \gamma-Re_\theta transition model are utilised and results compared for a conventional marine propeller. First, the selection of the turbulence inlet quantities for different flow regimes is discussed. Then, an analysis of the iterative and discretisation errors is made. This work is followed by an investigation of the predicted propeller flow and wake field at variable Reynolds numbers. Finally, the propeller scale-effects and the influence of the turbulence and transition models on the performance prediction are discussed. The variation of the flow regime showed an increase in thrust and decrease in torque for increasing Reynolds number. From the comparison between the turbulence model and the transition model, different flow solutions are obtained for the Reynolds numbers between 10^5 and 10^6.
This document discusses the implementation of FIR and IIR filters using DSP algorithms. It defines FIR filters as having a finite impulse response and describes their characteristic equation and structure. The document provides flow diagrams and pseudo code for FIR filter implementation using a circular buffer. It also defines IIR filters as depending on both input samples and previous outputs, and describes their canonic and direct forms as well as cascade and parallel realizations, providing pseudo code for the cascade realization.
This document discusses algorithms and parallel processing. It begins by defining algorithms and different types of algorithms like sequential and parallel algorithms. It then discusses analyzing parallel algorithms based on time complexity, number of processors required, and overall cost. Specific examples of parallel algorithms discussed include merge sort and parallel image processing. Fault tolerance in parallel systems is also covered, including load distribution, parallel region growing for image segmentation, and the process of system recovery from faults.
This document describes a public transportation network as a weighted graph that can be used to find optimal paths between locations. It provides an example of finding the best route from origin L4-A to destination L6-A, listing the possible connections and their travel times.
Guided Wave Propagation Simulation by ANSYS Ping Hung Lee
1. The document describes using ANSYS to simulate guided wave propagation in pipes.
2. Key steps in the ANSYS simulation include defining the element type, material properties, geometry, meshing, applying boundary conditions like supports, and inputting a loading signal to excite the guided waves.
3. The simulation can then analyze wave propagation over time and visualize the results to study features like welded supports, bends, and corrosion affecting guided wave modes like the L(0,1) and T(0,1) modes.
This presentation was VLSI I laboratory project, which was the most painful, yet the most satisfying, the most challenging, yet the most entertaining, the most tiresome, yet the most amusing and maybe the most memorable project of my BUET life, with the most talented mind I have ever seen, Naimul Hassan, (of course, he did almost all of the work, i just volunteered). The presentation contains only raw information about our work and the cells and schematics of Cadence, but it surely missed the enormous memories behind it -- the sleepless nights, hours and hours in front of PC, confusing simulation results, confusing errors, recursive DRC and LVS errors, and after the completion, me and Naim, hugging each other and crying with happiness. Surely this was the most memorable project of my life till now (and if I don't get VLSI II, this would be the most memorable project of my entire life). A really special thanks to Dr. A. B. M. Harun-Ur-Rashid Sir, Professor, Department of Electrical and Electronic Engineering, BUET and Kanak Datta Sir, Lecturer, Department of Electrical and Electronic Engineering, BUET, for assigning us the project in order to get a good practice of the most valuable software in the world Cadence.
The document summarizes the Ford-Fulkerson algorithm for finding the maximum flow in a flow network. It defines key terms like flow network, source, sink, flow, residual graph and augmented path. It then outlines the steps of the Ford-Fulkerson algorithm to incrementally send flow along augmented paths from the source to the sink until no more such paths exist. An example applying the algorithm to find the maximum flow in a sample network is provided with illustrations of the residual capacities after each flow augmentation.
The document discusses signal flow graphs (SFG), which provide a graphical representation of the relationship between variables in a system without needing to reduce block diagrams. An SFG consists of nodes and directed branches and can only represent linear systems. The basic elements of an SFG include branches, nodes, paths, loops, and different types of loops. Mason's gain formula is presented for calculating the transfer function of a system from its SFG. Examples are given to demonstrate how to derive an SFG from a block diagram and simultaneous equations, and how to use Mason's formula to solve for paths and loops.
This document provides an overview of signal flow graphs including:
- Definitions and terminology of signal flow graphs
- Examples of constructing signal flow graphs from equations and block diagrams
- Mason's gain formula for calculating the transfer function of a system from its signal flow graph representation in 3 sentences or less
- Examples are provided to demonstrate applying Mason's gain formula to calculate transfer functions from given signal flow graphs.
This document discusses using Spark to analyze telemetry data from Mozilla. It describes how telemetry data is currently collected and processed using a map-reduce framework in Python. It then introduces Spark as a faster alternative that supports interactive analysis, machine learning, and other capabilities. The document demonstrates launching a Spark cluster on EC2 to analyze Mozilla telemetry data in an interactive tutorial.
This document provides an overview of signal flow graphs. It defines key concepts like nodes, branches, paths, loops, and loop gains. Examples are given to illustrate these concepts, such as a simple voltage-current-resistance circuit and its corresponding signal flow graph. Different types of nodes, paths, and loops are defined, including forward paths, self loops, and non-touching loops. The document serves as an introduction to representing physical systems as signal flow graphs.
Real-Time Top-R Topic Detection on Twitter with Topic Hijack FilteringKohei Hayashi
Real-time topic detection on Twitter streams is challenging due to the massive volume and speed of tweets. The authors propose a streaming non-negative matrix factorization (NMF) algorithm that can detect topics in real-time from Twitter data. The algorithm uses stochastic gradient descent to update topic distributions incrementally as tweets arrive. It also automatically detects and filters "hijacked" topics that do not follow the expected word frequency distributions through statistical testing. Experiments on a large Twitter dataset show the streaming NMF can process tweets at the full speed of the Japanese Twitter firehose while detecting meaningful topics more accurately than alternative methods.
The document discusses the equivalence between context-free grammars (CFGs) and pushdown automata (PDAs). It states that for any CFG, an equivalent PDA can be constructed to accept the language generated by the grammar, and vice versa. This allows a programming language to be specified by a CFG and implemented with a PDA in a compiler. The document also provides procedures for converting between CFGs and PDAs, including an example of constructing a PDA from a given CFG.
Fast and Scalable NUMA-based Thread Parallel Breadth-first SearchYuichiro Yasui
This document summarizes a research paper on developing a fast and scalable NUMA-based breadth-first search algorithm for graph analysis. The algorithm uses a hybrid approach that optimizes for the direction of traversal (top-down vs bottom-up) and manages memory accesses carefully on NUMA systems. Evaluation on a SGI UV 2000 system with 2560 cores and 64TB of RAM shows the algorithm achieves a 489 billion traversed edges per second, outperforming previous work.
Inside LoLA - Experiences from building a state space tool for place transiti...Universität Rostock
LoLA is a state space tool for analyzing place/transition nets that was developed starting in 1998. It uses various reduction techniques like stubborn sets, symmetries, and linear algebra to combat state space explosion. LoLA has been applied to problems in areas like model checking, business process verification, and distributed systems. Its core data structures and algorithms keep processing costs low during operations like firing transitions and state space traversal.
C-SAW: A Framework for Graph Sampling and Random Walk on GPUsPandey_G
Presentation for the paper C-SAW: A Framework for Graph Sampling and Random Walk on GPUs published in SC20.
Paper link: https://arxiv.org/pdf/2009.09103.pdf
This document discusses a supercomputer called HYPE-2 built by Santosh Pandey, Ram Sharan Chaulagain, and Prakash Gyawali under the supervision of Prof. Dr. Subarna Shakya. It provides an overview of multiprocessor and multicore systems and discusses how HYPE-2 uses a distributed memory architecture with dynamic scaling to achieve high performance computing capabilities for research applications like cryptography, data mining, and weather forecasting. Performance tests showed near-linear speedup as nodes were added, with the system able to handle complex computations through inter-process communication, though it is not as powerful as larger supercomputers.
Cloud PARTE: Elastic Complex Event Processing based on Mobile ActorsStefan Marr
Traffic monitoring or crowd management systems produce large amounts of data in the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these applications, however, increasing amounts of data as well as large and complex rule sets demand for more and more processing power and memory. In order to scale such applications, a rule-based pattern detection system needs to be distributable over multiple machines. Today’s approaches are however focused on static distribution of rules or do not support reasoning over the full set of events.
We propose Cloud PARTE, a complex event detection system that implements the Rete algorithm on top of mobile actors. These actors can migrate between machines to respond to changes in the work load distribution. Cloud PARTE is an extension of PARTE and offers the first rule engine specifically tailored for continuous complex event detection that is able to benefit from elastic systems as provided by cloud computing platforms. It supports fully automatic load balancing and supports online rules with access to the entire event pool.
QR Factorizations and SVDs for Tall-and-skinny Matrices in MapReduce Architec...Austin Benson
This document summarizes Austin Benson's presentation on QR factorizations and SVDs for tall-and-skinny matrices in MapReduce architectures. It discusses how communication-avoiding TSQR and indirect/direct TSQR algorithms can be implemented in MapReduce frameworks to compute QR factorizations and SVDs of large matrices in a distributed, parallel manner. It also compares the performance of different MapReduce algorithms for computing QR on various sized matrices.
Prediction of the Propeller Performance at Different Reynolds Number Regimes ...João Baltazar
In this study, a Reynolds averaged Navier-Stokes solver is used for prediction of the propeller performance in open-water conditions at different Reynolds numbers ranging from 10^4 to 10^7. The k-\omega SST turbulence model and the \gamma-Re_\theta transition model are utilised and results compared for a conventional marine propeller. First, the selection of the turbulence inlet quantities for different flow regimes is discussed. Then, an analysis of the iterative and discretisation errors is made. This work is followed by an investigation of the predicted propeller flow and wake field at variable Reynolds numbers. Finally, the propeller scale-effects and the influence of the turbulence and transition models on the performance prediction are discussed. The variation of the flow regime showed an increase in thrust and decrease in torque for increasing Reynolds number. From the comparison between the turbulence model and the transition model, different flow solutions are obtained for the Reynolds numbers between 10^5 and 10^6.
This document discusses the implementation of FIR and IIR filters using DSP algorithms. It defines FIR filters as having a finite impulse response and describes their characteristic equation and structure. The document provides flow diagrams and pseudo code for FIR filter implementation using a circular buffer. It also defines IIR filters as depending on both input samples and previous outputs, and describes their canonic and direct forms as well as cascade and parallel realizations, providing pseudo code for the cascade realization.
This document discusses algorithms and parallel processing. It begins by defining algorithms and different types of algorithms like sequential and parallel algorithms. It then discusses analyzing parallel algorithms based on time complexity, number of processors required, and overall cost. Specific examples of parallel algorithms discussed include merge sort and parallel image processing. Fault tolerance in parallel systems is also covered, including load distribution, parallel region growing for image segmentation, and the process of system recovery from faults.
Android Code Camp for Beginners - Ecosistema Android (IT)Alessandro Bogliolo
Slides introduttive presentate nell'ambito dell'Android Code Camp for Beginners organizzato dall'Universita' di Urbino e da NeuNet il 28/11/2013
http://informatica.uniurb.it/android-code-camp-beginners/
This document summarizes a presentation on the Europe Code Week (CodeEU) initiative, which aims to address skills mismatches in the European labor market and promote computer science education. It provides background on CodeEU's objectives of making IT careers more attractive and modifying K-12 CS teaching. Statistics are given on forecasted demand for IT jobs in Europe and facts about the first two years of CodeEU events in multiple countries. Lessons learned from initial years include needing more government and media support and a legal entity, and assessing real impact. The future goal is proposed as working year-round to promote coding.
This document discusses digital systems and logic networks at the register-transfer level of abstraction. It describes the basic building blocks of RTL models including registers, functional macros, and finite state machines. It also discusses different project styles for digital designs like single-stage networks, multi-stage pipelines, and resource sharing. The document provides examples of arithmetic operations implemented using different styles and analyzes their latency and throughput. It explains how data is transferred among registers using a shared bus and the issues of selecting source and destination registers. Finally, it briefly mentions addressing for digital systems.
This document provides a brief history of computing from 500 BC to the present, divided into major eras: pre-mechanical, mechanical, electromechanical, electronic, and microelectronic. It describes important theoretical and technological contributions within each era such as the abacus, Pascaline, relays, transistors, and integrated circuits. The document also outlines projections for the next 10 years in areas like feature size, logic transistors, microprocessor transistors, DRAM size, and voltage.
Coding, pixel art, pensiero computazionale e rappresentazione digitale delle immagini. Analizziamo la relazione tra questi concetti in occasione del primo compleanno di CodeMOOC (http://codemooc.org/)
Synthesis & gate-level simulation is introduced. The key topics covered include basic concepts of logic synthesis using Design Compiler, including logic level optimization, mapping, boundary optimization, and static timing analysis. Simulation of the gate-level netlist generated after synthesis is also discussed. An example lab is outlined to synthesize a simple 8-bit microprocessor and simulate the gate-level netlist.
This three day course is intended for practicing systems engineers who want to learn how to apply model-driven systems Successful systems engineering requires a broad understanding of the important principles of modern spacecraft communications. This three-day course covers both theory and practice, with emphasis on the important system engineering principles, tradeoffs, and rules of thumb. The latest technologies are covered. <p>
The document presents a system model and problem formulation for user scheduling in massive MIMO OFDMA systems with hybrid analog-digital beamforming. The system considers a base station with N antennas but only Na < N RF chains serving multiple single-antenna mobile stations. The objective is to maximize the overall data rate by scheduling Kt mobile stations across subcarriers, subject to a per-subcarrier power constraint. For a single subcarrier, the problem is formulated as maximizing the sum rate of K scheduled users under a total power constraint, assuming Na = K RF chains. Two approaches are discussed: directly constraining the analog beamforming matrix or exploiting the solution from a digital scheduler using a clever decomposition method.
OFDM is a high-speed wireless transmission technology that divides the available spectrum into multiple orthogonal subcarriers. It is implemented as OFDMA to support multi-user communication. OFDM provides advantages over single carrier transmission by combating inter-symbol interference and frequency selective fading. It works by encoding data over multiple carrier frequencies, with spacing between carriers chosen so that the carriers are orthogonal to each other. This allows high data rates without overlapping signals at a receiver.
Lecture 2- Practical AD and DA Conveters (Online Learning).pptxHamzaJaved306957
This document provides information about a lecture on practical analog-to-digital (A/D) and digital-to-analog (D/A) converters. It begins with background resources and then describes the contents and learning outcomes of the course. The breakdown of topics is presented along with an outline of the lecture on practical A/D converters. Key points include the components and operation of practical ADCs, sources of non-idealities, and specifications used to characterize performance including SNR, SINAD, ENOB, and SFDR.
This document describes the design process for an active low pass filter. It includes:
1) Specifying the filter requirements including passband, stopband frequencies and gains.
2) Calculating the element values using Butterworth and Chebyshev approximations.
3) Verifying the frequency response meets specifications.
4) Optimizing values using standard capacitor sizes.
5) Testing elements with ±5% tolerance.
The result is the filter circuit with all calculated element values that meets the design specifications.
This document contains a 30 question multiple choice test on electronics topics. The questions cover areas like signals and systems, communication systems, analog and digital electronics, and CMOS circuits. Some sample questions include determining the output signal frequency of a cascade of T flip flops, simplifying a Boolean function expressed as a sum of minterms, and calculating the load current in an N output current mirror circuit. The test is part of the recruitment process for scientists and engineers at the Indian Space Research Organisation.
This document discusses various aspects of synchronization in digital communication systems. It covers receiver synchronization techniques like frequency and phase synchronization using phase-locked loops. It also discusses symbol synchronization, both data-aided and non-data-aided approaches. Network synchronization techniques like open-loop and closed-loop transmitter synchronization are introduced as well. The document provides detailed explanations of concepts like acquisition, tracking performance in noise, and steady-state tracking characteristics of phase-locked loops.
1. This document discusses various analog modulation techniques used to transmit digital data, including ASK, FSK, PSK, and QAM.
2. It provides examples and explanations of how each technique works, such as varying the amplitude (ASK), frequency (FSK), or phase (PSK) of a carrier signal to represent the 1s and 0s of digital data.
3. QAM is described as a technique that modulates signals onto both the cosine (in-phase) and sine (quadrature-phase) components of a carrier, allowing it to encode multiple bits per symbol.
The document describes the design of a 12-bit digital to analog converter (DAC). It includes a binary weighted resistor ladder circuit to convert the digital input to an analog voltage, and an operational amplifier circuit to drive the output load. Simulation results show the DAC can operate at up to 25MHz with good linearity and accuracy. Layout design considerations are discussed to optimize circuit performance and minimize parasitics.
This document discusses static timing analysis (STA) and dynamic timing analysis. It provides examples of using STA on a sorting circuit design to find the critical path and check that it meets the timing constraint of a 20ns clock period. STA is performed after synthesis and mapping and finds the longest path to be 9.739ns, providing over 10ns of slack compared to the timing constraint.
This document discusses principles of data acquisition systems and analog-to-digital converters. It describes the basic functions of data acquisition systems including analog input, output, and digital and timing I/O. It then discusses analog-to-digital converter types including integration, successive approximation, flash, and sigma-delta converters. It covers characteristics, principles of operation, advantages and disadvantages of each type. Finally, it outlines the functional blocks of a typical data acquisition system including specification parameters and the analog input stage.
This document contains the agenda for a workshop on Multi-Gbps TCP. The workshop includes presentations on high speed networks, LHC networks, TCP/AQM protocols and their duality model, control theory and stability of TCP/AQM, FAST simulations, and related TCP kernel projects. Presentations will be given by researchers from Caltech, CERN, UCLA, and INRIA on topics such as TCP protocols, active queue management, stability analysis, and simulations. There will also be discussion periods following some of the presentations.
- OFDM (Orthogonal Frequency Division Multiplexing) is a digital modulation technique that divides the available bandwidth into multiple orthogonal subcarriers.
- Each subcarrier is modulated with a conventional modulation scheme at a low symbol rate, maintaining total data rates similar to conventional single-carrier modulation schemes in the same bandwidth.
- OFDM has become popular for wireless networks and digital audio/video broadcasting due to its ability to cope with multi-path fading and resistance to intersymbol interference. It is used in technologies like WiFi, WiMAX, DVB, and LTE.
A Simple Communication System Design Lab #4 with MATLAB SimulinkJaewook. Kang
This document outlines a communication systems design lab using MATLAB Simulink. It discusses implementing various components of a communication system including channels, phase splitters, up/down conversion, and more. The lab covers how to build subsystems, use MATLAB functions in Simulink, and bring variables from the workspace. The goal is to complete a target communication system by implementing a channel model using Simulink blocks, MATLAB functions, and variables from the workspace.
This document summarizes a student project on OFDM transmitters and receivers. It includes an introduction to OFDM that describes its use of orthogonal subcarriers. It also compares single carrier modulation to multi-carrier modulation using OFDM. The document outlines the basic OFDM transmitter and receiver block diagrams. It discusses the constellation mapper, IFFT block, cyclic prefix, and design approaches for these blocks. Simulation results are presented comparing transmitted and received signals. BER performance is evaluated for different modulation schemes like QPSK and QAM. The document concludes that OFDM provides high bandwidth efficiency and overcomes interference through the IFFT and cyclic prefix.
The document discusses the front-end electronics (FEE) developed for the timing RPCs used in the HADES experiment. The FEE consists of daughter boards (DBOs) connected to the RPC cells that amplify and digitize signals, and mother boards (MBOs) that interface between the DBOs and data acquisition system. The FEE achieves a time resolution of less than 17 ps using a charge-to-width algorithm to encode timing and charge information. Testing shows the FEE performs well and could be adapted for use in the TRASGO detector with some modifications to reduce power consumption.
A tree-based anti-collision protocol is proposed for RFID tag identification. The protocol uses a binary tree structure where tags respond in assigned slots determined by their IDs. In each time slot, the reader broadcasts a query and any responding tags transmit their IDs. If a collision occurs, the reader divides the tags into two groups for the next slot based on their IDs. This process continues until all tags are identified without collision. The protocol reduces the identification time compared to Aloha-based methods.
The document discusses static timing analysis which is used to verify that logic circuits meet timing requirements. It analyzes different types of timing paths like pad-to-pad, pad-to-setup, clock-to-pad. Static timing analysis is preferred over dynamic analysis for verifying timings in large designs due to faster run times. An example shows calculating maximum frequency of operation by analyzing all path delays in a circuit.
Similar to CArcMOOC 03.04 - Gate-level design (20)
Lezione 5.3 del MOOC "Coding in biblioteca" erogato dall'Università di Urbino in collaborazione con la Rete delle Reti.
Alessandro Bogliolo presenta attività didattiche e ludiche basate sul concetto di rappresentazione digitale in biblioteca
https://mooc.uniurb.it/bibmooc
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BIBMOOC 06.01 - Buone pratiche: il caso di CSBNO - Giovanni MojoliAlessandro Bogliolo
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BIBMOOC 01.03 - Le biblioteche e la loro funzione sociale - Chiara FaggiolaniAlessandro Bogliolo
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
17. Carc 03.04
alessandro.bogliolo@uniurb.it
Carry Lookahead Adder (CLAn)
Observations:
ci = ai*bi + (ai+bi)ci-1 = gi + pi * ci-1
The first term generates the carry out (generate gi = ai*bi)
The second term propagates the carry (propagate pi = ai+bi)
Implementation:
ci = gi + pi (gi-1+pi-1 (gi-2+pi-2( ... (g0+p0*Cin)...)))
ci = gi + pigi-1+pipi-1gi-2+ pipi-1pi-2gi-3 + ... + pipi-1pi-2 ...p0Cin
(2)
(3)
(1)