The document proposes two new adaptive bagging methods for evolving data streams:
1) Adaptive-Size Hoeffding Tree (ASHT) Bagging, which uses an ensemble of decision trees of varying sizes that can quickly adapt to changes.
2) ADWIN Bagging, which replaces classifiers in the bagging ensemble when the ADWIN change detector detects concept drift, improving accuracy during periods of change.
An empirical evaluation on synthetic and real-world datasets found these methods outperformed standard bagging, with ASHT Bagging working best on datasets with infrequent drift and ADWIN Bagging performing best on more rapidly drifting datasets.
This document provides the solution to an algorithms assignment involving minimum spanning trees. It includes:
1) Representations of the graph as an adjacency matrix and list
2) Pseudocode for Prim's and Kruskal's algorithms for finding minimum spanning trees
3) Step-by-step examples of applying Prim's and Kruskal's algorithms to a graph representing connecting houses with cable
4) A comparison of the time complexities of Prim's and Kruskal's algorithms using Big-O and Big-Theta notation
The document discusses Maxwell, a module of the ANSYS electromagnetic simulation software. It can be used to design and analyze 2D and 3D electromagnetic and electromechanical devices using finite element analysis. The document outlines the Maxwell user interface and walkthrough the setup and analysis workflow, including selecting the solver, defining materials and boundary conditions, applying excitations, specifying parameters of interest, and configuring the solution.
Vogel's approximation method is an iterative method used to find an initial basic feasible solution for the transportation problem. It works by calculating penalties for each row and column based on the difference between lowest costs. It then selects the row or column with the highest penalty and allocates the minimum supply or demand to the cell in that row/column with the lowest cost. This process repeats, eliminating satisfied rows and columns, until all constraints are met. The document provides examples demonstrating how to apply Vogel's method step-by-step to solve transportation problems.
The document discusses load flow analysis calculations and transformer parameters. It explains how to calculate the X/R ratio of a transformer using nameplate data like impedance and losses. It also describes how to size transformers based on standards by considering cooling type, altitude, temperature, load variation, and short-circuit requirements. The document shows the load flow calculation process using vector diagrams and equations, comparing hand calculations to results from the ETAP software.
The document discusses the first law of thermodynamics, which states that energy can neither be created nor destroyed, but rather transformed from one state to another. It provides equations for the energy balance of closed and open systems, and describes various thermodynamic processes including isochoric, isobaric, isothermal, and isentropic processes. It also discusses the application of the first law to devices like nozzles, diffusers, turbines, compressors, throttling valves, and heat exchangers.
This document provides technical specifications for Cordaflex reeling cables made by Thorne & Derrick UK. It includes details on electrical parameters like voltage ratings, current carrying capacity and EMC compliance. It also specifies mechanical properties such as tensile load limits, minimum bending radii and travel speeds. Various cable designs are listed with ordering information, conductor sizes and dimensions. The cable is intended for flexible applications with high mechanical stresses, including open-cast and underground mining.
first law of thermodynamics and second lawnaphis ahamad
This document discusses the first law of thermodynamics and conservation of energy. It explains that the first law states that energy cannot be created or destroyed, only transformed between different forms. The total energy in a closed system remains constant. The document provides several examples of applying the first law to closed systems, control volumes, and various thermodynamic processes like isochoric, isobaric, and polytropic processes. It also discusses other concepts like the conservation of mass, work done by fluids, and applying energy balances to devices like nozzles, turbines, and heat exchangers.
This document provides the solution to an algorithms assignment involving minimum spanning trees. It includes:
1) Representations of the graph as an adjacency matrix and list
2) Pseudocode for Prim's and Kruskal's algorithms for finding minimum spanning trees
3) Step-by-step examples of applying Prim's and Kruskal's algorithms to a graph representing connecting houses with cable
4) A comparison of the time complexities of Prim's and Kruskal's algorithms using Big-O and Big-Theta notation
The document discusses Maxwell, a module of the ANSYS electromagnetic simulation software. It can be used to design and analyze 2D and 3D electromagnetic and electromechanical devices using finite element analysis. The document outlines the Maxwell user interface and walkthrough the setup and analysis workflow, including selecting the solver, defining materials and boundary conditions, applying excitations, specifying parameters of interest, and configuring the solution.
Vogel's approximation method is an iterative method used to find an initial basic feasible solution for the transportation problem. It works by calculating penalties for each row and column based on the difference between lowest costs. It then selects the row or column with the highest penalty and allocates the minimum supply or demand to the cell in that row/column with the lowest cost. This process repeats, eliminating satisfied rows and columns, until all constraints are met. The document provides examples demonstrating how to apply Vogel's method step-by-step to solve transportation problems.
The document discusses load flow analysis calculations and transformer parameters. It explains how to calculate the X/R ratio of a transformer using nameplate data like impedance and losses. It also describes how to size transformers based on standards by considering cooling type, altitude, temperature, load variation, and short-circuit requirements. The document shows the load flow calculation process using vector diagrams and equations, comparing hand calculations to results from the ETAP software.
The document discusses the first law of thermodynamics, which states that energy can neither be created nor destroyed, but rather transformed from one state to another. It provides equations for the energy balance of closed and open systems, and describes various thermodynamic processes including isochoric, isobaric, isothermal, and isentropic processes. It also discusses the application of the first law to devices like nozzles, diffusers, turbines, compressors, throttling valves, and heat exchangers.
This document provides technical specifications for Cordaflex reeling cables made by Thorne & Derrick UK. It includes details on electrical parameters like voltage ratings, current carrying capacity and EMC compliance. It also specifies mechanical properties such as tensile load limits, minimum bending radii and travel speeds. Various cable designs are listed with ordering information, conductor sizes and dimensions. The cable is intended for flexible applications with high mechanical stresses, including open-cast and underground mining.
first law of thermodynamics and second lawnaphis ahamad
This document discusses the first law of thermodynamics and conservation of energy. It explains that the first law states that energy cannot be created or destroyed, only transformed between different forms. The total energy in a closed system remains constant. The document provides several examples of applying the first law to closed systems, control volumes, and various thermodynamic processes like isochoric, isobaric, and polytropic processes. It also discusses other concepts like the conservation of mass, work done by fluids, and applying energy balances to devices like nozzles, turbines, and heat exchangers.
This document provides calculations and guidelines for wireline operations using slickline. It includes formulas for calculating the force required to enter a well based on pressure and wireline size. It also details partial pressure calculations for H2S and CO2 and correction factors for non-vertical wireline angles. Tables list specifications for various wireline sizes, braided cables, and fishing neck and fallback parameters.
This document discusses greedy algorithms and provides examples of their use. It begins by defining characteristics of greedy algorithms, such as making locally optimal choices that reduce a problem into smaller subproblems. The document then covers designing greedy algorithms, proving their optimality, and analyzing examples like the fractional knapsack problem and minimum spanning tree algorithms. Specific greedy algorithms covered in more depth include Kruskal's and Prim's minimum spanning tree algorithms and Huffman coding.
Ee w05.1 m_ 2. electricity generation _ part 4 (generation technologies)Silvester Van Koten
The document discusses electricity generation capacity and load duration curves. It shows that the UK has historically had excess electricity generation capacity, around 2 times the peak demand, due to the previous model of state-owned vertically integrated utilities. This led to gold-plating of the system with excess reserves. Liberalization in the 1990s-2000s introduced competition and marginal pricing, leading to relatively low prices due to excess capacity. Now the system focuses on sweating existing assets rather than new investment. Load duration curves are used to analyze capacity factors of different generation types.
The document discusses the per unit system, which is used to analyze electrical power systems. It normalizes all quantities to a common base value, simplifying calculations when equipment spans different voltage levels. The process involves selecting a base power rating and voltage for each level, then converting actual impedances, voltages and currents to per unit values using these bases. This allows quantities on either side of transformers to be directly comparable. Two examples are provided to demonstrate converting a transformer and an entire sample network to the per unit system.
This document discusses testing capacitive sensors using electrical measurements. It describes an electrical model of a capacitive sensor and how its capacitance varies with applied bias voltage. Methods are presented for testing for leakage currents, measuring the capacitance-voltage relationship, and determining the sensor's dynamic behavior by analyzing its resonant frequency and quality factor. Requirements for the test setup include using a capacitance meter, waveform generator, and digitizer configured for Fourier analysis to isolate the sensor's motional signal from background terms in its output current spectrum. Calibration procedures are also outlined to compensate for stray capacitances in the test circuit.
Kruskal's algorithm is a minimum spanning tree algorithm that finds the minimum cost collection of edges that connect all vertices in a connected, undirected graph. It works by sorting the edges by weight and then sequentially adding the shortest edge that does not create a cycle. The algorithm uses a disjoint set data structure to track connected components in the graph. It runs in O(ElogE) time, where E is the number of edges.
This document provides the calculations and analysis for the electrical loads and system design for a 3-floor commercial building and a 2-story residential house.
For the commercial building, the document calculates the lighting, appliance, and HVAC loads for each floor. It then sizes the feeder conductors and protection for each floor based on the calculated loads and largest motor. Finally, it calculates the overall main feeder size and protection based on the total connected load for the building.
For the residential house, the document provides the load calculations for each circuit based on appliances and fixtures. It includes a schedule of circuits and loads as well as a riser diagram. It then sizes the main feeder conductor and protection based on
The document is a selection guide for various types of signal modules used in hazardous areas including:
- Ex i power supplies for field devices
- Frequency transmitters to monitor rotating equipment speeds
- Vibration transducers for vibration sensors
- Transmitter supply units and isolating repeaters for analog inputs and outputs
- Switching repeaters and relay modules for digital inputs and outputs
For each type, the guide lists relevant product types, functions, installation areas, specifications, approvals and certifications. It provides an overview of a product portfolio for intrinsically safe signal transmission in industrial process automation applications.
This document summarizes the plans for a grid-tied solar PV system with the following key details:
1. The system will be installed on a home with an annual electricity usage of 11.6 kWh and will include high efficiency solar panels limited by the inverter's minimum startup voltage.
2. Site analysis found a big maple tree could be a problem for optimal solar exposure, with panels planned to face east and west.
3. Components included are Zep mounting system, KACO inverter, and calculations were done to determine panel configuration, voltages, currents, conductor sizing, and point of connection.
This document summarizes high speed comparators. It discusses how the speed of comparators is limited by either linear response or slew rate. Techniques to maximize speed include increasing sourcing/sinking currents, optimizing the number of stages in cascaded amplifiers, and using a preamplifier followed by a latch. An example calculates the minimum propagation delay of a comparator consisting of an amplifier cascaded with a latch. The summary maximizes essential information while keeping within 3 sentences.
Customization of LES turbulence model in OpenFOAMmmer547
This slide is the distribution material on the seminar, "Customization of LES turbulence model in OpenFOAM". (June 13 2015 "OpenCAE Local User Group @ Kansai")
http://ofbkansai.sakura.ne.jp/
Artificial Neural Network Controller for Reducing the Total Harmonic Distorti...IJAEMSJORNAL
A neural network based space vector modulation (SVM) of voltage source inverter is proposed. The voltage source converter (VSC) is highly used in high voltage direct current (HVDC) transmission so that a detailed analysis and transmission of this system is carried out. In addition, a non-linear neural network controller is proposed to control the space vector pulse width modulation (SVPWM) to reduce the total harmonic distortion (THD) of the converter (inverter) output voltage. The inverter outputcurrent is analyzed with two switching frequency 1050Hz and1450Hz with and without proposed ANN controller. The results show a THD enhancement about 0.74 % for 1050Hz and 0.68 % for 1450Hz.
Energy Yield Assessment and Site Suitability using OpenFOAM - Crasto, Castell...Giorgio Crasto
A procedure has been implemented in order to assess the Annual Energy Production (AEP) of a wind farm. The pieces of software used for the porpoise are Octave, Meshlab and OpenFOAM. Two test cases are presented, in the second one also a first comparison with real production data.
The document describes a multidisciplinary optimization framework for designing wind turbine blades. The framework simultaneously optimizes the outer blade geometry and internal structural design. It is used to design a 10 MW rotor constrained not to exceed loads and mass of a reference 10 MW turbine. The optimization variables include blade chord, twist, thickness, prebend, and structural properties. The constraints include limits on chord, mass, loads and material failure criteria. The framework couples aerodynamic, aeroelastic and structural solvers to evaluate objectives like annual energy production during the optimization process.
This document provides specifications for the MAX232 dual driver/receiver IC, which includes a capacitive voltage generator to supply standard TIA/EIA-232 voltage levels from a single 5V supply. It operates up to 120kbps and has ESD protection exceeding 15kV. The MAX232 contains two drivers, two receivers, and a charge pump to convert voltages for serial communication interfaces.
The document discusses algorithms analysis and sorting algorithms. It introduces insertion sort and merge sort, and analyzes their time complexities. Insertion sort runs in O(n^2) time in the worst case, while merge sort runs in O(n log n) time in the worst case, which grows more slowly. Therefore, asymptotically merge sort performs better than insertion sort for large data sets. The document also covers asymptotic analysis, recurrences, and using recursion trees to solve recurrences.
This document provides an overview of the 5th edition of the textbook "Fundamentals of Electric Circuits" by Charles Alexander and Matthew Sadiku. It describes the pedagogical features of the textbook, which include a six-step problem solving methodology, matched example and practice problems, comprehensive coverage of material, and the use of computer tools like PSpice and MATLAB. It also mentions instructor resources available on the textbook website.
This document provides an overview of the 5th edition of the textbook "Fundamentals of Electric Circuits" by Charles Alexander and Matthew Sadiku. It describes the pedagogical features of the textbook, which include a six-step problem solving methodology, matched example and practice problems, comprehensive coverage of material, and the use of computer tools like PSpice and MATLAB. It also mentions instructor resources available on the textbook website.
Making TIAM-MACRO-SA an Integrated Assessment ModelIEA-ETSAP
The document outlines recent enhancements to the TIMES energy systems modeling framework between versions 3.4.2 and 3.8.1. Key updates include: 1) Improved algorithms for macroeconomic decomposition and integration of climate impacts; 2) New options for modeling variable renewable generation and ensuring sufficient capacity; and 3) Enhanced reporting capabilities and additional constraint formulations. Documentation of the changes is ongoing across user guides and technical notes.
The document discusses using Tensor Train (TT) decomposition to efficiently represent tensors and apply it to machine learning models. Some key points:
- TT decomposition provides a compact representation of tensors that allows efficient linear algebra operations.
- It has been used to compress the weights matrix of neural networks without loss of accuracy.
- Exponential machines model all feature interactions using a TT-formatted weight tensor, controlling complexity with TT-rank. This outperforms other models on classification tasks involving interactions.
The document provides an overview of programmable logic devices including PLAs and PALs. It discusses how PLAs and PALs use programmable AND and OR gates to implement sum-of-products logic. It also covers ROMs as an alternative implementation and compares the tradeoffs between PLAs, PALs and ROMs. Examples are provided to illustrate designing logic functions using PLAs and PALs as well as implementing a BCD to 7-segment display decoder.
17117908_PA, Miller Effect, Cascaded Amplifiers.pptKoayFT
This document discusses various types of transistor amplifiers including class A, B, AB, C amplifiers as well as push-pull and complementary symmetry amplifiers. It describes the operating principles, biasing conditions, advantages and limitations of each type. Key points covered include how efficiency varies between classes from a maximum of 50% for class A to 78.5% for class B. Distortion mechanisms such as crossover and intermodulation are also summarized.
This document provides calculations and guidelines for wireline operations using slickline. It includes formulas for calculating the force required to enter a well based on pressure and wireline size. It also details partial pressure calculations for H2S and CO2 and correction factors for non-vertical wireline angles. Tables list specifications for various wireline sizes, braided cables, and fishing neck and fallback parameters.
This document discusses greedy algorithms and provides examples of their use. It begins by defining characteristics of greedy algorithms, such as making locally optimal choices that reduce a problem into smaller subproblems. The document then covers designing greedy algorithms, proving their optimality, and analyzing examples like the fractional knapsack problem and minimum spanning tree algorithms. Specific greedy algorithms covered in more depth include Kruskal's and Prim's minimum spanning tree algorithms and Huffman coding.
Ee w05.1 m_ 2. electricity generation _ part 4 (generation technologies)Silvester Van Koten
The document discusses electricity generation capacity and load duration curves. It shows that the UK has historically had excess electricity generation capacity, around 2 times the peak demand, due to the previous model of state-owned vertically integrated utilities. This led to gold-plating of the system with excess reserves. Liberalization in the 1990s-2000s introduced competition and marginal pricing, leading to relatively low prices due to excess capacity. Now the system focuses on sweating existing assets rather than new investment. Load duration curves are used to analyze capacity factors of different generation types.
The document discusses the per unit system, which is used to analyze electrical power systems. It normalizes all quantities to a common base value, simplifying calculations when equipment spans different voltage levels. The process involves selecting a base power rating and voltage for each level, then converting actual impedances, voltages and currents to per unit values using these bases. This allows quantities on either side of transformers to be directly comparable. Two examples are provided to demonstrate converting a transformer and an entire sample network to the per unit system.
This document discusses testing capacitive sensors using electrical measurements. It describes an electrical model of a capacitive sensor and how its capacitance varies with applied bias voltage. Methods are presented for testing for leakage currents, measuring the capacitance-voltage relationship, and determining the sensor's dynamic behavior by analyzing its resonant frequency and quality factor. Requirements for the test setup include using a capacitance meter, waveform generator, and digitizer configured for Fourier analysis to isolate the sensor's motional signal from background terms in its output current spectrum. Calibration procedures are also outlined to compensate for stray capacitances in the test circuit.
Kruskal's algorithm is a minimum spanning tree algorithm that finds the minimum cost collection of edges that connect all vertices in a connected, undirected graph. It works by sorting the edges by weight and then sequentially adding the shortest edge that does not create a cycle. The algorithm uses a disjoint set data structure to track connected components in the graph. It runs in O(ElogE) time, where E is the number of edges.
This document provides the calculations and analysis for the electrical loads and system design for a 3-floor commercial building and a 2-story residential house.
For the commercial building, the document calculates the lighting, appliance, and HVAC loads for each floor. It then sizes the feeder conductors and protection for each floor based on the calculated loads and largest motor. Finally, it calculates the overall main feeder size and protection based on the total connected load for the building.
For the residential house, the document provides the load calculations for each circuit based on appliances and fixtures. It includes a schedule of circuits and loads as well as a riser diagram. It then sizes the main feeder conductor and protection based on
The document is a selection guide for various types of signal modules used in hazardous areas including:
- Ex i power supplies for field devices
- Frequency transmitters to monitor rotating equipment speeds
- Vibration transducers for vibration sensors
- Transmitter supply units and isolating repeaters for analog inputs and outputs
- Switching repeaters and relay modules for digital inputs and outputs
For each type, the guide lists relevant product types, functions, installation areas, specifications, approvals and certifications. It provides an overview of a product portfolio for intrinsically safe signal transmission in industrial process automation applications.
This document summarizes the plans for a grid-tied solar PV system with the following key details:
1. The system will be installed on a home with an annual electricity usage of 11.6 kWh and will include high efficiency solar panels limited by the inverter's minimum startup voltage.
2. Site analysis found a big maple tree could be a problem for optimal solar exposure, with panels planned to face east and west.
3. Components included are Zep mounting system, KACO inverter, and calculations were done to determine panel configuration, voltages, currents, conductor sizing, and point of connection.
This document summarizes high speed comparators. It discusses how the speed of comparators is limited by either linear response or slew rate. Techniques to maximize speed include increasing sourcing/sinking currents, optimizing the number of stages in cascaded amplifiers, and using a preamplifier followed by a latch. An example calculates the minimum propagation delay of a comparator consisting of an amplifier cascaded with a latch. The summary maximizes essential information while keeping within 3 sentences.
Customization of LES turbulence model in OpenFOAMmmer547
This slide is the distribution material on the seminar, "Customization of LES turbulence model in OpenFOAM". (June 13 2015 "OpenCAE Local User Group @ Kansai")
http://ofbkansai.sakura.ne.jp/
Artificial Neural Network Controller for Reducing the Total Harmonic Distorti...IJAEMSJORNAL
A neural network based space vector modulation (SVM) of voltage source inverter is proposed. The voltage source converter (VSC) is highly used in high voltage direct current (HVDC) transmission so that a detailed analysis and transmission of this system is carried out. In addition, a non-linear neural network controller is proposed to control the space vector pulse width modulation (SVPWM) to reduce the total harmonic distortion (THD) of the converter (inverter) output voltage. The inverter outputcurrent is analyzed with two switching frequency 1050Hz and1450Hz with and without proposed ANN controller. The results show a THD enhancement about 0.74 % for 1050Hz and 0.68 % for 1450Hz.
Energy Yield Assessment and Site Suitability using OpenFOAM - Crasto, Castell...Giorgio Crasto
A procedure has been implemented in order to assess the Annual Energy Production (AEP) of a wind farm. The pieces of software used for the porpoise are Octave, Meshlab and OpenFOAM. Two test cases are presented, in the second one also a first comparison with real production data.
The document describes a multidisciplinary optimization framework for designing wind turbine blades. The framework simultaneously optimizes the outer blade geometry and internal structural design. It is used to design a 10 MW rotor constrained not to exceed loads and mass of a reference 10 MW turbine. The optimization variables include blade chord, twist, thickness, prebend, and structural properties. The constraints include limits on chord, mass, loads and material failure criteria. The framework couples aerodynamic, aeroelastic and structural solvers to evaluate objectives like annual energy production during the optimization process.
This document provides specifications for the MAX232 dual driver/receiver IC, which includes a capacitive voltage generator to supply standard TIA/EIA-232 voltage levels from a single 5V supply. It operates up to 120kbps and has ESD protection exceeding 15kV. The MAX232 contains two drivers, two receivers, and a charge pump to convert voltages for serial communication interfaces.
The document discusses algorithms analysis and sorting algorithms. It introduces insertion sort and merge sort, and analyzes their time complexities. Insertion sort runs in O(n^2) time in the worst case, while merge sort runs in O(n log n) time in the worst case, which grows more slowly. Therefore, asymptotically merge sort performs better than insertion sort for large data sets. The document also covers asymptotic analysis, recurrences, and using recursion trees to solve recurrences.
This document provides an overview of the 5th edition of the textbook "Fundamentals of Electric Circuits" by Charles Alexander and Matthew Sadiku. It describes the pedagogical features of the textbook, which include a six-step problem solving methodology, matched example and practice problems, comprehensive coverage of material, and the use of computer tools like PSpice and MATLAB. It also mentions instructor resources available on the textbook website.
This document provides an overview of the 5th edition of the textbook "Fundamentals of Electric Circuits" by Charles Alexander and Matthew Sadiku. It describes the pedagogical features of the textbook, which include a six-step problem solving methodology, matched example and practice problems, comprehensive coverage of material, and the use of computer tools like PSpice and MATLAB. It also mentions instructor resources available on the textbook website.
Making TIAM-MACRO-SA an Integrated Assessment ModelIEA-ETSAP
The document outlines recent enhancements to the TIMES energy systems modeling framework between versions 3.4.2 and 3.8.1. Key updates include: 1) Improved algorithms for macroeconomic decomposition and integration of climate impacts; 2) New options for modeling variable renewable generation and ensuring sufficient capacity; and 3) Enhanced reporting capabilities and additional constraint formulations. Documentation of the changes is ongoing across user guides and technical notes.
The document discusses using Tensor Train (TT) decomposition to efficiently represent tensors and apply it to machine learning models. Some key points:
- TT decomposition provides a compact representation of tensors that allows efficient linear algebra operations.
- It has been used to compress the weights matrix of neural networks without loss of accuracy.
- Exponential machines model all feature interactions using a TT-formatted weight tensor, controlling complexity with TT-rank. This outperforms other models on classification tasks involving interactions.
The document provides an overview of programmable logic devices including PLAs and PALs. It discusses how PLAs and PALs use programmable AND and OR gates to implement sum-of-products logic. It also covers ROMs as an alternative implementation and compares the tradeoffs between PLAs, PALs and ROMs. Examples are provided to illustrate designing logic functions using PLAs and PALs as well as implementing a BCD to 7-segment display decoder.
17117908_PA, Miller Effect, Cascaded Amplifiers.pptKoayFT
This document discusses various types of transistor amplifiers including class A, B, AB, C amplifiers as well as push-pull and complementary symmetry amplifiers. It describes the operating principles, biasing conditions, advantages and limitations of each type. Key points covered include how efficiency varies between classes from a maximum of 50% for class A to 78.5% for class B. Distortion mechanisms such as crossover and intermodulation are also summarized.
This document discusses various types of transistor amplifiers including class A, B, AB, C amplifiers as well as push-pull and complementary symmetry amplifiers. It describes the operating principles, biasing conditions, advantages and limitations of each type. Key points covered include how efficiency varies between classes from a maximum of 50% for class A to 78.5% for class B. Distortion sources like crossover and factors affecting gain like frequency response are also summarized.
This document contains chapter content from the textbook "Electronic Devices, 9th edition" by Thomas L. Floyd. The chapter goals are to develop an understanding of linear amplification concepts such as voltage, current, and power gain. It will also cover operational amplifiers, including their ideal characteristics, practical non-idealities, and applications in common configurations like inverting and non-inverting amplifiers. The document provides background on amplification, gain, differential amplifiers, and operational amplifier fundamentals. It also gives examples of calculating voltage gain and common-mode rejection ratio.
1. The document discusses CMOS inverters and basic gates like NAND and NOR.
2. It describes how to systematically design the pull-up network and pull-down network that make up a CMOS circuit from a Boolean equation.
3. The key steps are to represent each variable as a transistor, connect transistors in series for AND and parallel for OR, and ensure the pull-up and pull-down networks are complements of each other.
1) A transistor can act as a switch, allowing current to flow when activated by a control signal (the gate).
2) Switches in series implement logical AND, requiring both switches to be on for a connection. Switches in parallel implement logical OR, allowing a connection if either switch is on.
3) A CMOS transmission gate uses complementary NMOS and PMOS transistors to transmit signals in either direction without degradation, by having one side on and the other off depending on the control signal.
This document discusses combinational MOS logic circuits. It covers static and dynamic characteristics of two-input NOR gates and CMOS NOR gates. It also discusses CMOS transfer gates and provides examples of complex logic circuits using OR, AND, and inversion. The document discusses CMOS logic circuit graphs and equivalency. It covers dynamic characteristics like propagation delay and references textbooks on CMOS digital integrated circuits.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
1. Improving Adaptive Bagging Methods
for Evolving Data Streams
A. Bifet, G. Holmes, B. Pfahringer, and R. Gavaldà
University of Waikato
Hamilton, New Zealand
Laboratory for Relational Algorithmics, Complexity and Learning LARCA
UPC-Barcelona Tech, Catalonia
Nanjing, 4 November 2009
1st Asian Conference on Machine Learning (ACML’09)
2. Motivation
MOA Software for Mining Data Streams
Build a useful software mining for massive data sets
Bagging for data streams
Improve accuracy on classification methods for data
streams
2 / 26
3. Data stream classification cycle
1 Process an example at a time,
and inspect it only once (at
most)
2 Use a limited amount of
memory
3 Work in a limited amount of
time
4 Be ready to predict at any
point
3 / 26
4. Realtime analytics: from Databases to Dataflows
Data streams
Data streams are ordered datasets
Not all datasets are data streams
All dataset may be processed incrementally as a data
stream
MOA: Massive Online Analysis
Faster Mining Software using less resources
Instant mining: more for less
4 / 26
5. What is MOA?
{M}assive {O}nline {A}nalysis is a framework for online learning
from data streams.
It is closely related to WEKA
It includes a collection of offline and online as well as tools
for evaluation:
boosting and bagging
Hoeffding Trees
with and without Naïve Bayes classifiers at the leaves.
5 / 26
6. WEKA
Waikato Environment for Knowledge Analysis
Collection of state-of-the-art machine learning algorithms
and data processing tools implemented in Java
Released under the GPL
Support for the whole process of experimental data mining
Preparation of input data
Statistical evaluation of learning schemes
Visualization of input data and the result of learning
Used for education, research and applications
Complements “Data Mining” by Witten & Frank
6 / 26
8. MOA: the bird
The Moa (another native NZ bird) is not only flightless, like the
Weka, but also extinct.
8 / 26
9. MOA: the bird
The Moa (another native NZ bird) is not only flightless, like the
Weka, but also extinct.
8 / 26
10. MOA: the bird
The Moa (another native NZ bird) is not only flightless, like the
Weka, but also extinct.
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11. MOA: the bird
The Moa (another native NZ bird) is not only flightless, like the
Weka, but also extinct.
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12. Concept Drift Framework
t
f(t) f(t)
α
α
t0
W
0.5
1
Definition
Given two data streams a, b, we define c = a⊕W
t0
b as the data
stream built joining the two data streams a and b
Pr[c(t) = b(t)] = 1/(1+e−4(t−t0)/W ).
Pr[c(t) = a(t)] = 1−Pr[c(t) = b(t)]
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14. New Ensemble Methods For Evolving Data Streams
New Ensemble Methods For Evolving Streams (KDD’09)
a new experimental data stream framework for studying
concept drift
two new variants of Bagging:
ADWIN Bagging
Adaptive-Size Hoeffding Tree (ASHT) Bagging.
an evaluation study on synthetic and real-world datasets
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16. Adaptive-Size Hoeffding Tree
T1 T2 T3 T4
Ensemble of trees of different size
each tree has a maximum size
after one node splits, it deletes some nodes to reduce its
size if the size of the tree is higher than the maximum value
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17. Adaptive-Size Hoeffding Tree
T1 T2 T3 T4
Ensemble of trees of different size
smaller trees adapt more quickly to changes,
larger trees do better during periods with little change
diversity
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19. Improvement for ASHT Bagging Method
Improvement for ASHT Bagging ensemble method
Bagging using trees of different size
add a change detector for each tree in the ensemble
DDM: Gama et al.
EDDM: Baena, del Campo, Fidalgo et al.
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21. ADWIN Bagging
ADWIN
An adaptive sliding window whose size is recomputed online
according to the rate of change observed.
ADWIN has rigorous guarantees (theorems)
On ratio of false positives and negatives
On the relation of the size of the current window and
change rates
ADWIN Bagging
When a change is detected, the worst classifier is removed and
a new classifier is added.
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22. Optimal Change Detector and Predictor
ADWIN
High accuracy
Fast detection of change
Low false positives and false negatives ratios
Low computational cost: minimum space and time needed
Theoretical guarantees
No parameters needed
Estimator with Memory and Change Detector
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23. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 1
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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24. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 1 W1 = 01010110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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25. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 10 W1 = 1010110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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26. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 101 W1 = 010110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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27. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 1010 W1 = 10110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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28. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 10101 W1 = 0110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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29. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 101010 W1 = 110111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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30. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 1010101 W1 = 10111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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31. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111
W0= 10101011 W1 = 0111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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32. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111 |µ̂W0
− µ̂W1
| ≥ εc : CHANGE DET.!
W0= 101010110 W1 = 111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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33. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 101010110111111 Drop elements from the tail of W
W0= 101010110 W1 = 111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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34. Algorithm ADaptive Sliding WINdow
ADWIN
Example
W= 01010110111111 Drop elements from the tail of W
W0= 101010110 W1 = 111111
ADWIN: ADAPTIVE WINDOWING ALGORITHM
1 Initialize Window W
2 for each t > 0
3 do W ← W ∪{xt } (i.e., add xt to the head of W)
4 repeat Drop elements from the tail of W
5 until |µ̂W0
− µ̂W1
| < εc holds
6 for every split of W into W = W0 ·W1
7 Output µ̂W
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35. Algorithm ADaptive Sliding WINdow
ADWIN
Theorem
At every time step we have:
1 (False positive rate bound). If µt remains constant within
W, the probability that ADWIN shrinks the window at this
step is at most δ.
2 (False negative rate bound). Suppose that for some
partition of W in two parts W0W1 (where W1 contains the
most recent items) we have |µW0
− µW1
| > 2εc. Then with
probability 1−δ ADWIN shrinks W to W1, or shorter.
ADWIN tunes itself to the data stream at hand, with no need for
the user to hardwire or precompute parameters.
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36. Algorithm ADaptive Sliding WINdow
ADWIN
ADWIN using a Data Stream Sliding Window Model,
can provide the exact counts of 1’s in O(1) time per point.
tries O(logW) cutpoints
uses O(1
ε logW) memory words
the processing time per example is O(logW) (amortized
and worst-case).
Sliding Window Model
1010101 101 11 1 1
Content: 4 2 2 1 1
Capacity: 7 3 2 1 1
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37. ADWIN bagging using Hoeffding Adaptive Trees
Decision Trees: Hoeffding Adaptive Tree
CVFDT: Hulten, Spencer and Domingos
No theoretical guarantees on the error rate of CVFDT
Parameters needed : size of window, number of
examples,...
Hoeffding Adaptive Tree:
replace frequency statistics counters by estimators
don’t need a window to store examples
use a change detector with theoretical guarantees to
substitute trees
Advantages:
1 Theoretical guarantees
2 No Parameters
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39. Empirical evaluation
Dataset Most Accurate Method
Hyperplane Drift 0.0001 Bag10 ASHT W+R
Hyperplane Drift 0.001 DDM Bag10 ASHT W
SEA W = 50 BagADWIN 10 HAT
SEA W = 50000 BagADWIN 10 HAT
RandomRBF No Drift 50 centers Bag 10 HT
RandomRBF Drift .0001 50 centers BagADWIN 10 HAT
RandomRBF Drift .001 50 centers DDM Bag10 ASHT W
RandomRBF Drift .001 10 centers BagADWIN 10 HAT
Cover Type DDM Bag10 ASHT W
Poker BagADWIN 10 HAT
Electricity DDM Bag10 ASHT W
CovPokElec BagADWIN 10 HAT
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