This document provides instructions for a lab exercise on DC circuit simulations and modeling. The objectives are to:
1. Model a generic BJT device including parasitics and save it as a sub-circuit.
2. Perform DC simulations to determine the circuit's performance characteristics and calculate bias resistor values.
3. Build a biased circuit based on the DC simulation results and test the biased network.
The lab exercise will establish a foundational BJT circuit that can be used as a sub-circuit for amplifier designs in subsequent lab exercises.
NREL is a national laboratory operated by the Alliance for Sustainable Energy, LLC for the US Department of Energy. The System Advisor Model (SAM) combines detailed performance and financial models to estimate the cost of energy for renewable energy systems. Recent updates to SAM include models for PV-coupled battery storage, lifetime simulations of PV systems, 3D modeling of diffuse shading losses, and a module model using IEC test data. Planned updates include options for measured irradiance data, automatic battery dispatch strategies, and modeling of nonlinear shading losses.
presentation for NEC course to defend for NEP 2020DrVikasMahor
This document summarizes an audit presentation on an LT-Spice tutorial for circuit simulation course given by Dr. Vikas Mahor. The objectives of the course are to teach students how to use CAD tools to analyze microelectronic circuits. The content includes installing LT-Spice software, its device models, creating and simulating circuits, and performing various circuit analyses. Upon completing the course, students will be able to analyze electrical DC circuits, build and simulate DC circuits, and write technical reports. The need for electronic circuit simulators is discussed. A list of simulation activities conducted is provided, including rectifier, clipper, clamper, logic gate, and filter circuits. Course assignments are managed via Moodle and assignment reports
The document provides a third quarter report on the creation of a custom PSCAD library component for renewable energy systems. Key accomplishments include successfully designing wind, solar, and battery storage models and integrating them into a custom library. Future work identified is improving the battery control system. The custom library allows users to easily design renewable energy systems in PSCAD.
SPICE LEVEL I/LEVEL II/LEVEL III AND BSIM MODELSPraveen Kumar
SPICE LEVEL I/LEVEL II/LEVEL III AND BSIM MODELS
SPICE introduction
working
adaptions
detailed discussion on each models
SPICE Modeling in BSIM
features
bulk voltage on large signal model
velocity saturation
weak inversion operation
impact ionization
MULTIPLE TESTS ON TRANSFORMER WITH THE HELP OF MATLAB SIMULINKIRJET Journal
The document describes using MATLAB Simulink to model and simulate transformer tests, including open circuit, short circuit, and load tests. This allows performing the tests in a simpler, more efficient manner compared to traditional methods that require extensive manual measurements. The MATLAB model calculates key parameters like resistance, inductance, and efficiency. It reduces errors and human effort compared to conventional test equipment. The model is verified by comparing results to manual calculations and can be a useful educational and analysis tool.
Postgraduate Dissertation.
MSc. Sustainable Energy Systems (2010/11), University of Edinburgh.
Supervisor: Professor Gareth P. Harrison, University of Edinburgh.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Lab 7 – Switching Transistors and Optical DevicesByStudent.docxsmile790243
This document provides instructions for a lab experiment on switching transistors and optical devices. It involves using transistors as electronic switches to control LEDs and motors. It also involves using SCRs and an H-bridge integrated circuit to control motor direction. The document describes calculating operating voltages and currents, simulating circuits in Multisim, and prototyping circuits to test functionality. It also covers using optical couplers to provide isolation between circuits with different voltage levels.
NREL is a national laboratory operated by the Alliance for Sustainable Energy, LLC for the US Department of Energy. The System Advisor Model (SAM) combines detailed performance and financial models to estimate the cost of energy for renewable energy systems. Recent updates to SAM include models for PV-coupled battery storage, lifetime simulations of PV systems, 3D modeling of diffuse shading losses, and a module model using IEC test data. Planned updates include options for measured irradiance data, automatic battery dispatch strategies, and modeling of nonlinear shading losses.
presentation for NEC course to defend for NEP 2020DrVikasMahor
This document summarizes an audit presentation on an LT-Spice tutorial for circuit simulation course given by Dr. Vikas Mahor. The objectives of the course are to teach students how to use CAD tools to analyze microelectronic circuits. The content includes installing LT-Spice software, its device models, creating and simulating circuits, and performing various circuit analyses. Upon completing the course, students will be able to analyze electrical DC circuits, build and simulate DC circuits, and write technical reports. The need for electronic circuit simulators is discussed. A list of simulation activities conducted is provided, including rectifier, clipper, clamper, logic gate, and filter circuits. Course assignments are managed via Moodle and assignment reports
The document provides a third quarter report on the creation of a custom PSCAD library component for renewable energy systems. Key accomplishments include successfully designing wind, solar, and battery storage models and integrating them into a custom library. Future work identified is improving the battery control system. The custom library allows users to easily design renewable energy systems in PSCAD.
SPICE LEVEL I/LEVEL II/LEVEL III AND BSIM MODELSPraveen Kumar
SPICE LEVEL I/LEVEL II/LEVEL III AND BSIM MODELS
SPICE introduction
working
adaptions
detailed discussion on each models
SPICE Modeling in BSIM
features
bulk voltage on large signal model
velocity saturation
weak inversion operation
impact ionization
MULTIPLE TESTS ON TRANSFORMER WITH THE HELP OF MATLAB SIMULINKIRJET Journal
The document describes using MATLAB Simulink to model and simulate transformer tests, including open circuit, short circuit, and load tests. This allows performing the tests in a simpler, more efficient manner compared to traditional methods that require extensive manual measurements. The MATLAB model calculates key parameters like resistance, inductance, and efficiency. It reduces errors and human effort compared to conventional test equipment. The model is verified by comparing results to manual calculations and can be a useful educational and analysis tool.
Postgraduate Dissertation.
MSc. Sustainable Energy Systems (2010/11), University of Edinburgh.
Supervisor: Professor Gareth P. Harrison, University of Edinburgh.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Lab 7 – Switching Transistors and Optical DevicesByStudent.docxsmile790243
This document provides instructions for a lab experiment on switching transistors and optical devices. It involves using transistors as electronic switches to control LEDs and motors. It also involves using SCRs and an H-bridge integrated circuit to control motor direction. The document describes calculating operating voltages and currents, simulating circuits in Multisim, and prototyping circuits to test functionality. It also covers using optical couplers to provide isolation between circuits with different voltage levels.
This document provides information about the syllabus for the course "Electronics Power I" taught at the National University of Callao in Peru. It includes general course details such as code, credits, prerequisites and instructor. It describes the objectives of the course as providing knowledge of power semiconductor devices, diode and thyristor circuits, and rectifier circuits. The course content is divided into four units covering power semiconductor devices, uncontrolled and controlled rectifier circuits, and thyristors, power transistors, switching circuits and DC choppers. Evaluation methods and a schedule of topics are also outlined.
This document describes a rapid battery charger that uses a fuzzy logic controller. It discusses nickel-cadmium batteries, the need for a fast charger, and how fuzzy logic differs from classical logic. It then explains the components of a fuzzy controller including membership functions. The document outlines the modeling, simulation steps, and basics of fuzzy logic control. Graphs of membership functions and block diagrams of the simulation in MATLAB are included. The conclusion states that the fuzzy controller provides a safe, stable, and optimized charging process. Future work could optimize additional parameters of the fuzzy system to improve performance further.
Empirically Derived Abstractions in Uncore Power Modeling for a Server-Class...Arun Joseph
1) The document describes empirically derived power models for uncore elements like the Power Bus and memory controllers of IBM's POWER8 server processor.
2) Using a small set of activity markers like read, write, retry and snoop events along with microbenchmarks, the models can predict uncore power with up to 6% error.
3) These abstract power models allow more accurate dynamic power management by the chip compared to using a constant worst-case uncore power, potentially enabling a 5% CPU frequency boost.
Project ppt on Rapid Battery Charger using Fuzzy ControllerPriya_Srivastava
This document discusses the design of a rapid battery charger using a fuzzy logic controller. It begins with an introduction to nickel-cadmium batteries and fuzzy logic. It then describes the components of a fuzzy controller including fuzzification, a rule base, inference engine and defuzzification. Membership functions for inputs like temperature and outputs like charge current are defined. The simulation process is outlined including modeling the system in MATLAB and Simulink. Rules for the fuzzy controller are derived based on system behavior. Finally, the document concludes that the fuzzy controller allows safe, stable charging and discusses potential extensions like optimizing membership functions and rule parameters.
International Journal of Computational Engineering Research(IJCER) ijceronline
nternational Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
PowerTOSSIM extends the TOSSIM sensor network simulator to enable simulation of power consumption in large sensor networks. It employs a code transformation technique to estimate CPU cycles and obtain traces of each node's activity. These traces are fed into a detailed hardware power model to calculate total power consumption. By simulating basic block execution counts rather than individual CPU instructions, PowerTOSSIM achieves accurate power estimation while maintaining TOSSIM's scalability for large networks.
This document discusses modeling and simulation of photovoltaic cells. It compares the single diode model, two diode model, and Simscape modeling approaches. The single diode model assumes no recombination losses, while the two diode model accounts for these losses and is more accurate at low irradiances. Simscape provides a solar cell block that models the cells with either 5 or 8 parameters. Simulation results show the two diode model and Simscape modeling are more precise than the single diode model, with the two diode model showing a 0.13W higher power output and Simscape a 0.02W higher output compared to the single diode model under standard test conditions. Overall, Simscape is identified as the most precise modeling tool for photo
A study on modelling and simulation of photovoltaic cellseSAT Journals
Abstract This Paper presents a detailed study on the types of modelling of the PV Panel for simulation studies. The main concern of this study is to analyze the results and compare them under standard test conditions. PV systems are generally integrated with specific control algorithms in order to extract the maximum possible power. Hence it is highly imperative that the Maximum Power Point (MPP) is achieved effectively and thus we need to design a model from which the MPPT algorithm can be realized in an efficient way. Also other parameters should be taken into account for finding the best model for the use in simulation. It is very important to choose the appropriate model based on the application. The models used for study in this paper include the single diode model, two diode model and Simscape modelling. MATLAB/Simulink presents a powerful tool to study such systems. The work tests the accuracy of the models under different temperature and irradiance conditions. The two diode model is known to have better accuracy at low irradiance levels which allows for a more accurate prediction of PV system performance. Simscape, part of Simulink environment, has a solar cell block that makes building a PV model straightforward and much easier programming with full demonstration to all system details. On the basis of the study, the best model that can be used for simulation purposes can be selected. It is envisaged that the work can be very useful for professionals who require simple and accurate PV simulators for their design. All the systems here are modeled and simulated in MATLAB/Simulink environment. Keywords: PV cell, STC, MATLAB Simulink, Ideality Factor
This document presents a study on modeling and simulating photovoltaic cells. It discusses various PV cell models including single diode, two diode, and Simscape models. The single diode model represents the PV cell as a current source in parallel with a diode. The two diode model improves accuracy by including another diode to account for recombination losses. Simscape provides solar cell blocks that allow modeling PV cells using 5-parameter and 8-parameter models. Simulation results show the two diode and Simscape models provide more accurate output, especially at low irradiance levels, compared to the single diode model. The document concludes the two diode and Simscape models are better choices for simulation due to their improved precision.
Design & Analysis of Grid Connected Photovoltaic SystemSulaman Muhammad
Aim of this project was to boost the DC voltage generated by the photovoltaic system to the required DC value through DC-DC boost converter and then to invert that DC voltage to AC voltage through H-bridge inverter. The output of the inverter is then filtered through a low pass filter to get a pure sinusoidal wave form. This output is then synchronized with the grid by converting the sine wave of grid into square wave and then compare that square wave with the PWM and then give that output wave of comparator to H-bridge, so if there is any change in the grid as a result the output of inverter will also have same change.
Low Power System on chip based design methodologyAakash Patel
This document summarizes several low power techniques for system-on-chip (SoC) design, including ASNoC (application-specific network-on-chip), CAPCOM (critical-path aware power consumption optimization), and IP reuse methodology. It describes the basic SoC structure and low power design flow. ASNoC is explained as a methodology that generates optimized hierarchical networks and memory for applications, using 39% less power and 59% less silicon area compared to other networks. CAPCOM uses mixed voltage threshold cells to reduce power consumption up to 44.9% for a 16-bit multiplier circuit. IP reuse methodology enhances existing IP blocks to meet goals like power reduction and performance.
Final year project ideas for electrical engineering eepowerschool.comMuhammad Sarwar
Final year project is the ultimate achievement of an electrical engineering graduate. The idea
of a final year project is to practically implement the technical and professional skills learned.
Graduates work on different final year project ideas. The title of an FYP should be novel and
the project must have a positive impact on the society. Many students choose their FYP topic
in a haste, and at the end of completion, it’s no good for them. So, choose your final year
project wisely and give a lot of thinking while choosing final year project ideas for your
electrical engineering degree.
This post gives a complete list of final year project ideas for electrical engineering students. A
short summary (or synopsis) of the project has also been given to get the complete
understanding of the project. The summary contains a short introduction, methodology and
project outcomes.
Undergraduate students of BSEE are encouraged to pick a topic that would implement a novel
research idea. Though, only simulations can also be used instead of a design project. Various
simulation softwares are available to implement the FYP e.g, Matlab/Simulink, Power World
Simulator, ETAP, Digsilent PowerFactory, PSCAD etc.
Vlsi Design of Low Transition Low Power Test Pattern Generator Using Fault Co...iosrjce
Now a day’s highly integrated multi layer board with IC’s is virtually impossible to be accessed
physically for testing. The major problem detected during testing a circuit includes test generation and gate to
I/O pin problems. In design of any circuit, consuming low power and less hardware utilization is an important
design parameter. Therefore reliable testing methods are introduced which reduces the cost of the hardware
required and also power consumed by the device. In this project a new fault coverage test pattern generator is
generated using a linear feedback shift register called FC-LFSR which can perform fault analysis and reduces
the total power of the circuit. In this test, it generates three intermediate patterns between the random patterns
which reduces the transitional activities of primary inputs so that the switching activities inside the circuit under
test will be reduced. The test patterns generated are applied to c17 benchmark circuit, whose results with fault
coverage of the circuit being tested. The simulation for this design is performed using Xilinx ISE software using
Verilog hardware description language
This document describes the design of a low transition, low power test pattern generator using a fault coverage circuit. It begins with background on the need for built-in self-test (BIST) techniques due to challenges with external testing. It then presents a new technique that generates three intermediate patterns between random patterns to reduce switching activity and power. The design is implemented using a linear feedback shift register (LFSR) modified with additional logic. Simulation results on a C17 benchmark circuit show the fault coverage achieved by the low power patterns.
Adiabatic Logic Based Low Power Carry Select Adder for future TechnologiesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
This document describes a virtual lab for electronics that was created to address issues with limited hardware availability and large student-to-equipment ratios in university labs. The virtual lab allows students to design and simulate electronic circuits online through a web browser without needing to download any software. It includes models for common circuit components and can simulate circuits defined by the user. Analysis types like DC, transient, and AC can then be performed on the simulated circuits. Screenshots show an example circuit and output graph from the virtual lab. The goal is to help students learn circuit design and analysis through virtual experimentation before working with physical hardware.
Low cost Real Time Centralized Speed Control of DC Motor Using Lab View -NI U...IJPEDS-IAES
DC motors are an outstanding portion of apparatus used in automotive and automation industrial applications requiring variable speed and load characteristics, due to its ease of controllability. Creating an interface control system for multi DC motor drive operations with centralized speed control, from small-scale models to large industrial applications is in much demand. By using Lab VIEW (laboratory virtual instrument engineering workbench) as the motor controller, we can control a DC motor for multiple purposes using single software environment. The aim of this paper is to propose the centralized speed control of DC motor using Lab VIEW. Here, Lab VIEW is used for simulating the motor, whereas the input armature voltage of the DC motor is controlled using a virtual Knob in Lab VIEW software. The hardware part of the system (DC motor) and the software (in personal computer) are interfaced using a data acquisition card (DAQ) -Model PCI- 6024E. The voltage and Speed response is obtained using LABVIEW software. Using this software, the speed of a group of motors can be controlled from different locations using remote telemetry. The proposed work also focuses on controlling the speed of the individual DC motor using PWM scheme (Duty cycle based Square wave generation) and DAQ. With the help of the DAQ along with Lab VIEW front panel window, the DC motor speed and directions can be changed easily in remote way. In order to test the proposed system the laboratory model for an80W DC motor group (multi drive) is developed for different angular displacements and directions of the motor. The simulation model and experimental results conforms the advantages and robustness of the proposed centralized speed control.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This report is documented for Metal Detector System. The goal is to analyze, design, model, simulate and construct the Metal Detector System. A very simple Design Pattern was used to modulate the system with the use of less number of components. Coils were designed in consideration to the principles of induction for the Metal Detector System. Standard components were used to construct the Signal Processing Unit (ASPU). The design for the ASPU was simulated and tested using advanced simulation software called Pspice. The final Product fulfills the requirements as expected.
This document describes enhancements made to the energy modeling framework in the OMNET++ wireless sensor network simulator. OMNET++ is a modular discrete event simulator written in C++ that allows models to be built from reusable components. The document discusses several frameworks within OMNET++ for modeling energy consumption, including MIXIM, INET, INETMANET, PAWIS, and CASTALIA. It provides details on how energy parameters can be configured in simulation profiles, how energy levels are updated during transmissions and other events, and how output is recorded to analyze energy performance.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
This document provides information about the syllabus for the course "Electronics Power I" taught at the National University of Callao in Peru. It includes general course details such as code, credits, prerequisites and instructor. It describes the objectives of the course as providing knowledge of power semiconductor devices, diode and thyristor circuits, and rectifier circuits. The course content is divided into four units covering power semiconductor devices, uncontrolled and controlled rectifier circuits, and thyristors, power transistors, switching circuits and DC choppers. Evaluation methods and a schedule of topics are also outlined.
This document describes a rapid battery charger that uses a fuzzy logic controller. It discusses nickel-cadmium batteries, the need for a fast charger, and how fuzzy logic differs from classical logic. It then explains the components of a fuzzy controller including membership functions. The document outlines the modeling, simulation steps, and basics of fuzzy logic control. Graphs of membership functions and block diagrams of the simulation in MATLAB are included. The conclusion states that the fuzzy controller provides a safe, stable, and optimized charging process. Future work could optimize additional parameters of the fuzzy system to improve performance further.
Empirically Derived Abstractions in Uncore Power Modeling for a Server-Class...Arun Joseph
1) The document describes empirically derived power models for uncore elements like the Power Bus and memory controllers of IBM's POWER8 server processor.
2) Using a small set of activity markers like read, write, retry and snoop events along with microbenchmarks, the models can predict uncore power with up to 6% error.
3) These abstract power models allow more accurate dynamic power management by the chip compared to using a constant worst-case uncore power, potentially enabling a 5% CPU frequency boost.
Project ppt on Rapid Battery Charger using Fuzzy ControllerPriya_Srivastava
This document discusses the design of a rapid battery charger using a fuzzy logic controller. It begins with an introduction to nickel-cadmium batteries and fuzzy logic. It then describes the components of a fuzzy controller including fuzzification, a rule base, inference engine and defuzzification. Membership functions for inputs like temperature and outputs like charge current are defined. The simulation process is outlined including modeling the system in MATLAB and Simulink. Rules for the fuzzy controller are derived based on system behavior. Finally, the document concludes that the fuzzy controller allows safe, stable charging and discusses potential extensions like optimizing membership functions and rule parameters.
International Journal of Computational Engineering Research(IJCER) ijceronline
nternational Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
PowerTOSSIM extends the TOSSIM sensor network simulator to enable simulation of power consumption in large sensor networks. It employs a code transformation technique to estimate CPU cycles and obtain traces of each node's activity. These traces are fed into a detailed hardware power model to calculate total power consumption. By simulating basic block execution counts rather than individual CPU instructions, PowerTOSSIM achieves accurate power estimation while maintaining TOSSIM's scalability for large networks.
This document discusses modeling and simulation of photovoltaic cells. It compares the single diode model, two diode model, and Simscape modeling approaches. The single diode model assumes no recombination losses, while the two diode model accounts for these losses and is more accurate at low irradiances. Simscape provides a solar cell block that models the cells with either 5 or 8 parameters. Simulation results show the two diode model and Simscape modeling are more precise than the single diode model, with the two diode model showing a 0.13W higher power output and Simscape a 0.02W higher output compared to the single diode model under standard test conditions. Overall, Simscape is identified as the most precise modeling tool for photo
A study on modelling and simulation of photovoltaic cellseSAT Journals
Abstract This Paper presents a detailed study on the types of modelling of the PV Panel for simulation studies. The main concern of this study is to analyze the results and compare them under standard test conditions. PV systems are generally integrated with specific control algorithms in order to extract the maximum possible power. Hence it is highly imperative that the Maximum Power Point (MPP) is achieved effectively and thus we need to design a model from which the MPPT algorithm can be realized in an efficient way. Also other parameters should be taken into account for finding the best model for the use in simulation. It is very important to choose the appropriate model based on the application. The models used for study in this paper include the single diode model, two diode model and Simscape modelling. MATLAB/Simulink presents a powerful tool to study such systems. The work tests the accuracy of the models under different temperature and irradiance conditions. The two diode model is known to have better accuracy at low irradiance levels which allows for a more accurate prediction of PV system performance. Simscape, part of Simulink environment, has a solar cell block that makes building a PV model straightforward and much easier programming with full demonstration to all system details. On the basis of the study, the best model that can be used for simulation purposes can be selected. It is envisaged that the work can be very useful for professionals who require simple and accurate PV simulators for their design. All the systems here are modeled and simulated in MATLAB/Simulink environment. Keywords: PV cell, STC, MATLAB Simulink, Ideality Factor
This document presents a study on modeling and simulating photovoltaic cells. It discusses various PV cell models including single diode, two diode, and Simscape models. The single diode model represents the PV cell as a current source in parallel with a diode. The two diode model improves accuracy by including another diode to account for recombination losses. Simscape provides solar cell blocks that allow modeling PV cells using 5-parameter and 8-parameter models. Simulation results show the two diode and Simscape models provide more accurate output, especially at low irradiance levels, compared to the single diode model. The document concludes the two diode and Simscape models are better choices for simulation due to their improved precision.
Design & Analysis of Grid Connected Photovoltaic SystemSulaman Muhammad
Aim of this project was to boost the DC voltage generated by the photovoltaic system to the required DC value through DC-DC boost converter and then to invert that DC voltage to AC voltage through H-bridge inverter. The output of the inverter is then filtered through a low pass filter to get a pure sinusoidal wave form. This output is then synchronized with the grid by converting the sine wave of grid into square wave and then compare that square wave with the PWM and then give that output wave of comparator to H-bridge, so if there is any change in the grid as a result the output of inverter will also have same change.
Low Power System on chip based design methodologyAakash Patel
This document summarizes several low power techniques for system-on-chip (SoC) design, including ASNoC (application-specific network-on-chip), CAPCOM (critical-path aware power consumption optimization), and IP reuse methodology. It describes the basic SoC structure and low power design flow. ASNoC is explained as a methodology that generates optimized hierarchical networks and memory for applications, using 39% less power and 59% less silicon area compared to other networks. CAPCOM uses mixed voltage threshold cells to reduce power consumption up to 44.9% for a 16-bit multiplier circuit. IP reuse methodology enhances existing IP blocks to meet goals like power reduction and performance.
Final year project ideas for electrical engineering eepowerschool.comMuhammad Sarwar
Final year project is the ultimate achievement of an electrical engineering graduate. The idea
of a final year project is to practically implement the technical and professional skills learned.
Graduates work on different final year project ideas. The title of an FYP should be novel and
the project must have a positive impact on the society. Many students choose their FYP topic
in a haste, and at the end of completion, it’s no good for them. So, choose your final year
project wisely and give a lot of thinking while choosing final year project ideas for your
electrical engineering degree.
This post gives a complete list of final year project ideas for electrical engineering students. A
short summary (or synopsis) of the project has also been given to get the complete
understanding of the project. The summary contains a short introduction, methodology and
project outcomes.
Undergraduate students of BSEE are encouraged to pick a topic that would implement a novel
research idea. Though, only simulations can also be used instead of a design project. Various
simulation softwares are available to implement the FYP e.g, Matlab/Simulink, Power World
Simulator, ETAP, Digsilent PowerFactory, PSCAD etc.
Vlsi Design of Low Transition Low Power Test Pattern Generator Using Fault Co...iosrjce
Now a day’s highly integrated multi layer board with IC’s is virtually impossible to be accessed
physically for testing. The major problem detected during testing a circuit includes test generation and gate to
I/O pin problems. In design of any circuit, consuming low power and less hardware utilization is an important
design parameter. Therefore reliable testing methods are introduced which reduces the cost of the hardware
required and also power consumed by the device. In this project a new fault coverage test pattern generator is
generated using a linear feedback shift register called FC-LFSR which can perform fault analysis and reduces
the total power of the circuit. In this test, it generates three intermediate patterns between the random patterns
which reduces the transitional activities of primary inputs so that the switching activities inside the circuit under
test will be reduced. The test patterns generated are applied to c17 benchmark circuit, whose results with fault
coverage of the circuit being tested. The simulation for this design is performed using Xilinx ISE software using
Verilog hardware description language
This document describes the design of a low transition, low power test pattern generator using a fault coverage circuit. It begins with background on the need for built-in self-test (BIST) techniques due to challenges with external testing. It then presents a new technique that generates three intermediate patterns between random patterns to reduce switching activity and power. The design is implemented using a linear feedback shift register (LFSR) modified with additional logic. Simulation results on a C17 benchmark circuit show the fault coverage achieved by the low power patterns.
Adiabatic Logic Based Low Power Carry Select Adder for future TechnologiesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
This document describes a virtual lab for electronics that was created to address issues with limited hardware availability and large student-to-equipment ratios in university labs. The virtual lab allows students to design and simulate electronic circuits online through a web browser without needing to download any software. It includes models for common circuit components and can simulate circuits defined by the user. Analysis types like DC, transient, and AC can then be performed on the simulated circuits. Screenshots show an example circuit and output graph from the virtual lab. The goal is to help students learn circuit design and analysis through virtual experimentation before working with physical hardware.
Low cost Real Time Centralized Speed Control of DC Motor Using Lab View -NI U...IJPEDS-IAES
DC motors are an outstanding portion of apparatus used in automotive and automation industrial applications requiring variable speed and load characteristics, due to its ease of controllability. Creating an interface control system for multi DC motor drive operations with centralized speed control, from small-scale models to large industrial applications is in much demand. By using Lab VIEW (laboratory virtual instrument engineering workbench) as the motor controller, we can control a DC motor for multiple purposes using single software environment. The aim of this paper is to propose the centralized speed control of DC motor using Lab VIEW. Here, Lab VIEW is used for simulating the motor, whereas the input armature voltage of the DC motor is controlled using a virtual Knob in Lab VIEW software. The hardware part of the system (DC motor) and the software (in personal computer) are interfaced using a data acquisition card (DAQ) -Model PCI- 6024E. The voltage and Speed response is obtained using LABVIEW software. Using this software, the speed of a group of motors can be controlled from different locations using remote telemetry. The proposed work also focuses on controlling the speed of the individual DC motor using PWM scheme (Duty cycle based Square wave generation) and DAQ. With the help of the DAQ along with Lab VIEW front panel window, the DC motor speed and directions can be changed easily in remote way. In order to test the proposed system the laboratory model for an80W DC motor group (multi drive) is developed for different angular displacements and directions of the motor. The simulation model and experimental results conforms the advantages and robustness of the proposed centralized speed control.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This report is documented for Metal Detector System. The goal is to analyze, design, model, simulate and construct the Metal Detector System. A very simple Design Pattern was used to modulate the system with the use of less number of components. Coils were designed in consideration to the principles of induction for the Metal Detector System. Standard components were used to construct the Signal Processing Unit (ASPU). The design for the ASPU was simulated and tested using advanced simulation software called Pspice. The final Product fulfills the requirements as expected.
This document describes enhancements made to the energy modeling framework in the OMNET++ wireless sensor network simulator. OMNET++ is a modular discrete event simulator written in C++ that allows models to be built from reusable components. The document discusses several frameworks within OMNET++ for modeling energy consumption, including MIXIM, INET, INETMANET, PAWIS, and CASTALIA. It provides details on how energy parameters can be configured in simulation profiles, how energy levels are updated during transmissions and other events, and how output is recorded to analyze energy performance.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.