This document provides a case study on forecasting monthly exceedance probabilities of solar radiation in Arizona. It discusses collecting solar radiation data from five stations in different locations in Arizona. The authors define exceedance probability as the probability of daily radiation being below an expected value. They use normalized distributions and simple linear regression to predict monthly exceedance probabilities and compare them to actual probabilities calculated from later test data. The document discusses setting up the model, including normalizing the data distributions and using data before 2011 to predict and data from 2011-2014 to test the predictions.
It will tell information about Engineering courses petroleum engineering,civil engineering,mechanical engineering,aerospace engineering,industrial engineering,chemical engineering,computer science engineering,mining engineering, Electronics and Communication Engineering,Electrical and Electronics Engineering and Materials and Metallurgical Engineering
Introduction to methods of applied mathematics or Advanced Mathematical Metho...Hamed Oloyede
This document is the preface and table of contents for a textbook on advanced mathematical methods for scientists and engineers. It outlines the contents and structure of the textbook, which covers topics in algebra, calculus, vector calculus, and functions of a complex variable. The preface provides advice for teachers using the textbook, acknowledges contributors, and suggests how readers should use the material. It also explains the intended broad scope covered by the title of the textbook.
Applied mathematics for physical chemistryDedi Wahyudin
The document discusses the benefits of exercise for mental health. It states that regular exercise can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help prevent mental illness and improve symptoms.
APPLICATION OF MATHEMATICS IN ENGINEERING FIELDSDMANIMALA
This document discusses various topics in engineering including electrical engineering, electronics, mechanical/civil engineering, sports and exercise engineering, energy systems engineering, and engineering applications. It provides examples of using different engineering disciplines like modeling traffic volumes, designing airplane landing gear, and developing sun-tracking mirrors for solar power plants.
This document provides information about a student project investigating how engagement in extracurricular activities affects academic performance. It includes the project title, purpose, data collection methods, presentation of collected data through tables and graphs, analysis using measures of central tendency, probability, chi-square test, and correlation. The analysis found a low negative correlation between time spent on extracurricular activities and academic performance. The document concludes there is a slight decrease in grades as time on extracurricular activities increases.
This document contains questions from a M.Tech Applied Mathematics exam. It includes questions on various topics in applied mathematics, such as:
1) Finding the binary form of a number, approximating a number, and writing a Fortran program for matrix multiplication.
2) Solving sets of equations using Gauss elimination, finding matrix inverses, and converting eigenvalue problems.
3) Evaluating mixed partial derivatives, Taylor series expansions, and numerically evaluating integrals using Simpson's rule, Gauss-Legendre quadrature, and Adams-Bashforth methods.
4) Solving initial value problems, the transverse deflection of beams, and using finite difference methods to solve PDEs modeling heat transfer.
This document provides a case study on forecasting monthly exceedance probabilities of solar radiation in Arizona. It discusses collecting solar radiation data from five stations in different locations in Arizona. The authors define exceedance probability as the probability of daily radiation being below an expected value. They use normalized distributions and simple linear regression to predict monthly exceedance probabilities and compare them to actual probabilities calculated from later test data. The document discusses setting up the model, including normalizing the data distributions and using data before 2011 to predict and data from 2011-2014 to test the predictions.
It will tell information about Engineering courses petroleum engineering,civil engineering,mechanical engineering,aerospace engineering,industrial engineering,chemical engineering,computer science engineering,mining engineering, Electronics and Communication Engineering,Electrical and Electronics Engineering and Materials and Metallurgical Engineering
Introduction to methods of applied mathematics or Advanced Mathematical Metho...Hamed Oloyede
This document is the preface and table of contents for a textbook on advanced mathematical methods for scientists and engineers. It outlines the contents and structure of the textbook, which covers topics in algebra, calculus, vector calculus, and functions of a complex variable. The preface provides advice for teachers using the textbook, acknowledges contributors, and suggests how readers should use the material. It also explains the intended broad scope covered by the title of the textbook.
Applied mathematics for physical chemistryDedi Wahyudin
The document discusses the benefits of exercise for mental health. It states that regular exercise can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help prevent mental illness and improve symptoms.
APPLICATION OF MATHEMATICS IN ENGINEERING FIELDSDMANIMALA
This document discusses various topics in engineering including electrical engineering, electronics, mechanical/civil engineering, sports and exercise engineering, energy systems engineering, and engineering applications. It provides examples of using different engineering disciplines like modeling traffic volumes, designing airplane landing gear, and developing sun-tracking mirrors for solar power plants.
This document provides information about a student project investigating how engagement in extracurricular activities affects academic performance. It includes the project title, purpose, data collection methods, presentation of collected data through tables and graphs, analysis using measures of central tendency, probability, chi-square test, and correlation. The analysis found a low negative correlation between time spent on extracurricular activities and academic performance. The document concludes there is a slight decrease in grades as time on extracurricular activities increases.
This document contains questions from a M.Tech Applied Mathematics exam. It includes questions on various topics in applied mathematics, such as:
1) Finding the binary form of a number, approximating a number, and writing a Fortran program for matrix multiplication.
2) Solving sets of equations using Gauss elimination, finding matrix inverses, and converting eigenvalue problems.
3) Evaluating mixed partial derivatives, Taylor series expansions, and numerically evaluating integrals using Simpson's rule, Gauss-Legendre quadrature, and Adams-Bashforth methods.
4) Solving initial value problems, the transverse deflection of beams, and using finite difference methods to solve PDEs modeling heat transfer.
This document contains an 8-question exam on applied mathematics. The questions cover various topics including: error analysis, numerical integration, solving systems of equations, matrix operations, eigenanalysis, linear transformations, vector spaces, and least squares solutions. Students are asked to define terms, compute values, prove statements, and perform numerical methods like Newton's method to find roots or Romberg's method for integration.
This document contains 8 questions regarding numerical analysis methods. Question 1 asks to explain different types of errors in calculations. Question 2 asks to find the maximum relative error in a function given errors in its variables. Question 3 asks to perform iterations of the Muller method to find a root of an equation. Question 4 asks to find derivatives of a function from given data and evaluate an integral using Romberg's method.
This document contains 8 questions on topics in applied mathematics for a Masters degree examination. The questions cover a range of numerical methods including Muller's method, Bairstow's method, Gauss-Seidel method, cubic spline interpolation, and the Numerov method. Other questions address linear algebra topics such as basis vectors, subspaces, linear transformations, and inverses. Students are asked to prove theorems about graphs, vector spaces, and matrix eigenvectors. Calculations involve solving systems of equations, finding roots of polynomials, and maximizing profit under constraints.
This document contains 8 questions regarding various topics in applied mathematics for a first semester M.Tech degree examination. The questions cover topics such as significant figures, accuracy, precision, and round off errors; solving equations using methods like Regula-Falsi, Newton's formula, Bairstow method, and Graeffe's root squaring; numerical integration using Romberg's method; solving systems of linear equations using Gauss-Jordan and triangularization methods; eigen values and vectors using inverse power and Rutishauser methods; linear transformations and their properties; least squares solutions; and constructing orthogonal sets using Gram-Schmidt process. Students are required to answer any 5 full questions out of the 8 questions provided.
1. A bungee jumper with a mass of 68.1 kg leaps from a hot air balloon. Using a finite difference technique and step size of 0.25 seconds, the velocity is computed for the first 12 seconds of free fall, taking into account drag.
2. The document explains various types of errors in calculations such as significant figures, inherent error, truncation error, and true percentage relative error. It also describes the Regular Falsi and Newton-Raphson methods for finding roots of equations.
3. The problems involve using numerical methods such as Muller's method, Graeffe's root-square method, Romberg's method, Gauss elimination, Jacobi method, QR
The East West Institute of Technology has a PG Library & Information Centre that provides resources and services to post-graduate students. The library welcomes suggestions from students on how to improve its resources and services, which can be emailed to library.ewit@gmail.com.
This document contains 18 questions related to applied mathematics for a first semester M.Tech degree examination. The questions cover topics including:
1) Binary conversion, error and relative error calculations
2) Matrix multiplication and operations including inverses, norms, and eigenproblems
3) Taylor series expansions and numerical integration techniques like Simpson's rule and Gauss-Legendre quadrature
4) Numerical solutions to initial value problems using techniques like Adams-Bashforth and predictor-corrector methods
5) Boundary value problems for beams and heat transfer problems solved using finite difference methods.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
This document contains an 8-question exam on applied mathematics. The questions cover various topics including: error analysis, numerical integration, solving systems of equations, matrix operations, eigenanalysis, linear transformations, vector spaces, and least squares solutions. Students are asked to define terms, compute values, prove statements, and perform numerical methods like Newton's method to find roots or Romberg's method for integration.
This document contains 8 questions regarding numerical analysis methods. Question 1 asks to explain different types of errors in calculations. Question 2 asks to find the maximum relative error in a function given errors in its variables. Question 3 asks to perform iterations of the Muller method to find a root of an equation. Question 4 asks to find derivatives of a function from given data and evaluate an integral using Romberg's method.
This document contains 8 questions on topics in applied mathematics for a Masters degree examination. The questions cover a range of numerical methods including Muller's method, Bairstow's method, Gauss-Seidel method, cubic spline interpolation, and the Numerov method. Other questions address linear algebra topics such as basis vectors, subspaces, linear transformations, and inverses. Students are asked to prove theorems about graphs, vector spaces, and matrix eigenvectors. Calculations involve solving systems of equations, finding roots of polynomials, and maximizing profit under constraints.
This document contains 8 questions regarding various topics in applied mathematics for a first semester M.Tech degree examination. The questions cover topics such as significant figures, accuracy, precision, and round off errors; solving equations using methods like Regula-Falsi, Newton's formula, Bairstow method, and Graeffe's root squaring; numerical integration using Romberg's method; solving systems of linear equations using Gauss-Jordan and triangularization methods; eigen values and vectors using inverse power and Rutishauser methods; linear transformations and their properties; least squares solutions; and constructing orthogonal sets using Gram-Schmidt process. Students are required to answer any 5 full questions out of the 8 questions provided.
1. A bungee jumper with a mass of 68.1 kg leaps from a hot air balloon. Using a finite difference technique and step size of 0.25 seconds, the velocity is computed for the first 12 seconds of free fall, taking into account drag.
2. The document explains various types of errors in calculations such as significant figures, inherent error, truncation error, and true percentage relative error. It also describes the Regular Falsi and Newton-Raphson methods for finding roots of equations.
3. The problems involve using numerical methods such as Muller's method, Graeffe's root-square method, Romberg's method, Gauss elimination, Jacobi method, QR
The East West Institute of Technology has a PG Library & Information Centre that provides resources and services to post-graduate students. The library welcomes suggestions from students on how to improve its resources and services, which can be emailed to library.ewit@gmail.com.
This document contains 18 questions related to applied mathematics for a first semester M.Tech degree examination. The questions cover topics including:
1) Binary conversion, error and relative error calculations
2) Matrix multiplication and operations including inverses, norms, and eigenproblems
3) Taylor series expansions and numerical integration techniques like Simpson's rule and Gauss-Legendre quadrature
4) Numerical solutions to initial value problems using techniques like Adams-Bashforth and predictor-corrector methods
5) Boundary value problems for beams and heat transfer problems solved using finite difference methods.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
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
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.
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.