Thermodynamics
•
0 likes•58 views
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Report
Share
Report
Share
Download to read offline
Recommended
Thermal Engineering - II
Refrigeration is the process of removing heat from an object or space to lower its temperature below the surrounding environment. It uses refrigerants and works by continuously absorbing heat and rejecting it at higher temperatures. There are two main types of refrigeration systems - vapor compression, which uses a compressor, and vapor absorption, which uses heat to power the refrigeration process. Air conditioning builds on refrigeration to condition air for human comfort by controlling temperature and humidity levels. There are various types of air conditioning units and cooling towers that reject waste heat to cool water or air.
Thermal Engineering - II
Cogeneration or combined heat and power (CHP) involves generating electricity and useful heat simultaneously. It is used in prisons, hospitals, data centers, industrial units, and other applications. Cogeneration improves efficiency, reduces costs and emissions, and is more economical than conventional power plants. Waste heat recovery units transfer heat from high-temperature processes to increase efficiency further. Cogeneration can achieve up to 80% efficiency and provides environmental and economic benefits.
IC Engines
This document provides information on heat engines and boilers. It defines a heat engine as a device that converts heat energy to mechanical energy. Heat engines are classified as internal combustion engines where fuel combustion occurs inside the engine cylinder, or external combustion engines where combustion occurs outside the cylinder. Details are given on common internal combustion engine types like diesel, petrol, and gas engines. The document also discusses boiler types like fire tube boilers, water tube boilers, and fluidized bed combustion boilers. Key components, workings, and examples of different engine and boiler classifications are described over multiple pages of detailed text.
Thermal Engineering - II
This document discusses boilers and coal combustion. It begins by outlining the motivation for studying boilers, as they are major energy consumers in industry and buildings. It then introduces the main boiler types - fire-tube, water-tube, and waterwall - in order of increasing capacity. Fire-tube boilers have a capacity up to around 20,000 pounds per hour, while water-tube boilers can reach over 2,000 psi. Waterwall boilers allow for lighter boiler walls through water cooling. Coal can be fired in boilers via various stoker types or pulverized coal systems. Key factors that control combustion are discussed.
Thermal Engineering - II
Industrial boilers are closed vessels made of steel used to generate steam through combustion of fuels like coal. They are classified based on orientation (vertical or horizontal), firing method (internally or externally), and tube configuration (fire tube or water tube). Key boiler types include vertical boilers, Cochran boilers, Lancashire boilers, locomotive boilers, Babcock & Wilcox water tube boilers, and high pressure boilers. Proper mountings and accessories are needed for safety, control, and efficiency. Modern trends favor high-capacity, high-pressure water tube boilers.
Thermal Engineering - II
This document provides an introduction to boilers, including their definition, principle of working, functions, classifications, and key mountings. It discusses that a boiler converts water to steam using heat from fuel combustion. Boilers are classified based on several factors like location of the shell axis, flow medium, pressure, draft used, circulation method, furnace position, fuel type, number of tubes, and mobility. Important boiler mountings discussed include safety valves, water level indicators, pressure gauges, and fusible plugs, which are used for safety, and steam stop valves, feed check valves, and blow off cocks, which are used for control.
Thermodynamics
The document discusses the derivation of entropy from the second law of thermodynamics. It defines entropy as a quantitative measure of microscopic disorder for a system. Entropy is derived by applying the first law of thermodynamics to a heat engine and system undergoing a cyclic process. This leads to the Clausius inequality and the definition of entropy change between two states. Entropy change has contributions from both heat transfer and irreversible processes (entropy generation). Expressions for entropy change are derived for incompressible substances, ideal gases, and gases with variable specific heats.
Thermodynamics
The document discusses the second law of thermodynamics and entropy. It provides the following key points:
1. The second law states that the entropy of the universe increases for any spontaneous process, meaning ΔSuniv > 0. Entropy is a measure of disorder or the number of possible arrangements of a system.
2. Spontaneous processes are those where entropy increases both for the system and surroundings, making the total entropy change positive. Nonspontaneous processes decrease the total entropy.
3. The Gibbs free energy change, ΔG, can also be used to determine spontaneity, where a negative ΔG corresponds to a spontaneous process. ΔG is related to entropy and enthalpy changes.
Recommended
Thermal Engineering - II
Refrigeration is the process of removing heat from an object or space to lower its temperature below the surrounding environment. It uses refrigerants and works by continuously absorbing heat and rejecting it at higher temperatures. There are two main types of refrigeration systems - vapor compression, which uses a compressor, and vapor absorption, which uses heat to power the refrigeration process. Air conditioning builds on refrigeration to condition air for human comfort by controlling temperature and humidity levels. There are various types of air conditioning units and cooling towers that reject waste heat to cool water or air.
Thermal Engineering - II
Cogeneration or combined heat and power (CHP) involves generating electricity and useful heat simultaneously. It is used in prisons, hospitals, data centers, industrial units, and other applications. Cogeneration improves efficiency, reduces costs and emissions, and is more economical than conventional power plants. Waste heat recovery units transfer heat from high-temperature processes to increase efficiency further. Cogeneration can achieve up to 80% efficiency and provides environmental and economic benefits.
IC Engines
This document provides information on heat engines and boilers. It defines a heat engine as a device that converts heat energy to mechanical energy. Heat engines are classified as internal combustion engines where fuel combustion occurs inside the engine cylinder, or external combustion engines where combustion occurs outside the cylinder. Details are given on common internal combustion engine types like diesel, petrol, and gas engines. The document also discusses boiler types like fire tube boilers, water tube boilers, and fluidized bed combustion boilers. Key components, workings, and examples of different engine and boiler classifications are described over multiple pages of detailed text.
Thermal Engineering - II
This document discusses boilers and coal combustion. It begins by outlining the motivation for studying boilers, as they are major energy consumers in industry and buildings. It then introduces the main boiler types - fire-tube, water-tube, and waterwall - in order of increasing capacity. Fire-tube boilers have a capacity up to around 20,000 pounds per hour, while water-tube boilers can reach over 2,000 psi. Waterwall boilers allow for lighter boiler walls through water cooling. Coal can be fired in boilers via various stoker types or pulverized coal systems. Key factors that control combustion are discussed.
Thermal Engineering - II
Industrial boilers are closed vessels made of steel used to generate steam through combustion of fuels like coal. They are classified based on orientation (vertical or horizontal), firing method (internally or externally), and tube configuration (fire tube or water tube). Key boiler types include vertical boilers, Cochran boilers, Lancashire boilers, locomotive boilers, Babcock & Wilcox water tube boilers, and high pressure boilers. Proper mountings and accessories are needed for safety, control, and efficiency. Modern trends favor high-capacity, high-pressure water tube boilers.
Thermal Engineering - II
This document provides an introduction to boilers, including their definition, principle of working, functions, classifications, and key mountings. It discusses that a boiler converts water to steam using heat from fuel combustion. Boilers are classified based on several factors like location of the shell axis, flow medium, pressure, draft used, circulation method, furnace position, fuel type, number of tubes, and mobility. Important boiler mountings discussed include safety valves, water level indicators, pressure gauges, and fusible plugs, which are used for safety, and steam stop valves, feed check valves, and blow off cocks, which are used for control.
Thermodynamics
The document discusses the derivation of entropy from the second law of thermodynamics. It defines entropy as a quantitative measure of microscopic disorder for a system. Entropy is derived by applying the first law of thermodynamics to a heat engine and system undergoing a cyclic process. This leads to the Clausius inequality and the definition of entropy change between two states. Entropy change has contributions from both heat transfer and irreversible processes (entropy generation). Expressions for entropy change are derived for incompressible substances, ideal gases, and gases with variable specific heats.
Thermodynamics
The document discusses the second law of thermodynamics and entropy. It provides the following key points:
1. The second law states that the entropy of the universe increases for any spontaneous process, meaning ΔSuniv > 0. Entropy is a measure of disorder or the number of possible arrangements of a system.
2. Spontaneous processes are those where entropy increases both for the system and surroundings, making the total entropy change positive. Nonspontaneous processes decrease the total entropy.
3. The Gibbs free energy change, ΔG, can also be used to determine spontaneity, where a negative ΔG corresponds to a spontaneous process. ΔG is related to entropy and enthalpy changes.
Second law of Thermodynamics
1) Leaving the fridge door open will warm up the kitchen rather than freeze it, as this allows heat transfer from the warmer kitchen to the cooler fridge, increasing the overall system temperature.
2) The second law of thermodynamics states that it is impossible to transfer heat from a cooler body to a hotter body without work being performed. This means a 100% efficient refrigerator or heat engine cannot exist.
3) The Carnot cycle involves reversible, isothermal heat absorption and rejection processes between a hot and cold reservoir. It represents the most efficient possible heat engine or refrigerator operating between two temperature reservoirs.
Thermodynamics
The document discusses the first and second laws of thermodynamics. It begins by explaining limitations of the first law, such as heat always flowing from hotter to colder bodies. It then explains what the second law tells us - that not all heat can be converted to work and heat will not flow spontaneously from cold to hot. The second law is then discussed through both the Kelvin-Planck and Clausius statements. Perpetual motion machines are described as violating the second law. The Carnot cycle is then explained in detail as a reversible thermodynamic cycle.
Concepts of Thermodynamics
This document provides an introduction to engineering thermodynamics. It defines key concepts like systems, properties, processes, and the first law of thermodynamics. Specific topics covered include the classification of thermodynamic systems as closed or open, homogeneous or heterogeneous. The document also discusses intensive and extensive properties, pressure, temperature, and the gas laws of Boyle, Charles, and Gay-Lussac. Common thermodynamic processes like isothermal, isobaric, isochoric, and adiabatic processes are defined. The first law of thermodynamics relating heat, work, and changes in internal energy is stated.
Application of Thermodynamics
Thermodynamics deals with the conversion of energy from one form to another, mainly heat into work or vice versa. Some applications of thermodynamics include power generation, automobiles, processing industries, and gas compressors. The four main laws of thermodynamics are: (1) the zeroth law defines thermal equilibrium, (2) the first law concerns the conservation of energy and states that heat and work are different forms of energy transfer, (3) the second law concerns the entropy of the universe increasing, and (4) the third law relates entropy to the absolute zero of temperature. Thermodynamic properties can be either intensive, which do not depend on system size, or extensive, which do depend on system size.
Thermodynamics
This document provides an introduction to basic thermodynamics concepts. It defines key terms like system, surroundings, boundary, universe, state variables, intensive and extensive properties, and different types of thermodynamic systems (closed, open, isolated). It also discusses the macroscopic and microscopic approaches in thermodynamics. Specific concepts covered include phases, control volume, continuum, state functions, and commonly used properties like pressure, temperature and volume. The document lays the foundation for understanding basic thermodynamic analysis.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoring
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.
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
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.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
this notes have been created
by Eric36 at nyamata ttc
after readings
pe book for y2sme .
Literature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Understanding Inductive Bias in Machine Learning
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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
More Related Content
More from GOBINATHS18
Second law of Thermodynamics
1) Leaving the fridge door open will warm up the kitchen rather than freeze it, as this allows heat transfer from the warmer kitchen to the cooler fridge, increasing the overall system temperature.
2) The second law of thermodynamics states that it is impossible to transfer heat from a cooler body to a hotter body without work being performed. This means a 100% efficient refrigerator or heat engine cannot exist.
3) The Carnot cycle involves reversible, isothermal heat absorption and rejection processes between a hot and cold reservoir. It represents the most efficient possible heat engine or refrigerator operating between two temperature reservoirs.
Thermodynamics
The document discusses the first and second laws of thermodynamics. It begins by explaining limitations of the first law, such as heat always flowing from hotter to colder bodies. It then explains what the second law tells us - that not all heat can be converted to work and heat will not flow spontaneously from cold to hot. The second law is then discussed through both the Kelvin-Planck and Clausius statements. Perpetual motion machines are described as violating the second law. The Carnot cycle is then explained in detail as a reversible thermodynamic cycle.
Concepts of Thermodynamics
This document provides an introduction to engineering thermodynamics. It defines key concepts like systems, properties, processes, and the first law of thermodynamics. Specific topics covered include the classification of thermodynamic systems as closed or open, homogeneous or heterogeneous. The document also discusses intensive and extensive properties, pressure, temperature, and the gas laws of Boyle, Charles, and Gay-Lussac. Common thermodynamic processes like isothermal, isobaric, isochoric, and adiabatic processes are defined. The first law of thermodynamics relating heat, work, and changes in internal energy is stated.
Application of Thermodynamics
Thermodynamics deals with the conversion of energy from one form to another, mainly heat into work or vice versa. Some applications of thermodynamics include power generation, automobiles, processing industries, and gas compressors. The four main laws of thermodynamics are: (1) the zeroth law defines thermal equilibrium, (2) the first law concerns the conservation of energy and states that heat and work are different forms of energy transfer, (3) the second law concerns the entropy of the universe increasing, and (4) the third law relates entropy to the absolute zero of temperature. Thermodynamic properties can be either intensive, which do not depend on system size, or extensive, which do depend on system size.
Thermodynamics
This document provides an introduction to basic thermodynamics concepts. It defines key terms like system, surroundings, boundary, universe, state variables, intensive and extensive properties, and different types of thermodynamic systems (closed, open, isolated). It also discusses the macroscopic and microscopic approaches in thermodynamics. Specific concepts covered include phases, control volume, continuum, state functions, and commonly used properties like pressure, temperature and volume. The document lays the foundation for understanding basic thermodynamic analysis.
More from GOBINATHS18 (7)
Recently uploaded
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoring
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.
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
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.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
this notes have been created
by Eric36 at nyamata ttc
after readings
pe book for y2sme .
Literature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Understanding Inductive Bias in Machine Learning
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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
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.
Recently uploaded (20)
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx