Root locus analysis for linear control systems

In this course you will learn about different protection used for Power Transformer in a Sub Station:-1. What is meant by Differential Zone of Transformer Differential Protection.2. How by Using ICT phase and magnitude correction can be done for static Differential Relay.3. What is Matching Factor and PU (Per Unit) Current in Differential Relay.4. Characteristics of Micom P64X Differential Relay for Power Transformer.5. Characteristics of Micom P63X Differential Relay for Power Transformer.6. What is Zero Sequence Filtering and why it is important in Differential Relay for Transformer.7. How much Winding is Protected by Differential Relay for Transformer?8. High Impedance Restricted Earth Fault Relay for Star side of Transformer.9. High Impedance Restricted Earth Fault Relay for Delta Side of Transformer.10. How to Calculate Stabilizing Resistance (Rs) for High Impedance Restricted Earth Fault (REF) Protection Relay.11. Why Metrosil is required for High Impedance Restricted Earth Fault (REF) Relay.12. What is Low Impedance Restricted Earth Fault (REF) Protection Relay and When It Shall be Used.13. Difference between High Impedance REF and Low Impedance REF Protection Relay.14. Over-current (O/C) and Earth Fault (E/F) Relay for Transformer and Calculation of Setting of PSM and TMS.15. What is Over-fluxing Relay and Its Working Principle for Transformer.

Statistics is all about processing data and extracting information. The information we seek is the parameters and distribution of the random variable that generated the data. Armed with this information we can answer questions about reality and optimize industrial processes. Statistics thus forms the backbone of science and business and this course is designed to help you understand the components of this fundamental subject and how they all fit together. Designed for Actuaries, but applicable for everyone. This course contains the new sections for the CS1 exam.Sections:Exploratory Data AnalysisGeneral Probability TheoryRandom VariablesProbability DistributionsGenerating FunctionsJoint Distributions (Covariance)Conditional ExpectationsCentral Limit TheoremSampling and Statistical InferencePoint EstimationConfidence IntervalsHypothesis TestingLinear Regression and CorrelationAnalysis of VarianceBayesian Statistics and Credibility TheoryStudent QuestionsIntroduction to R Programming

Our course exclusively focuses on providing comprehensive mock exams for IASSC Lean Six Sigma Yellow Belt Green Belt certification. With four mock exams included, each comprising 50 multiple-choice and true/false questions, you'll receive thorough practice and assessment to prepare you for the actual certification exam.Dual Certification Lean Six Sigma Green Belt and Black BeltOur mock exams cover a comprehensive range of topics essential for IASSC Lean Six Sigma Yellow Belt and Green belt certification. Topics include understanding key concepts and methodologies. Master statistical tools and problem-solving techniques. Thorough coverage of process mapping, data analysis, hypothesis testing, and DMAIC methodology. Gain the knowledge and skills needed to excel in your Lean Six Sigma journey. The questions will cover the following topics:Key concepts and principles of Lean Six SigmaProcess mapping and analysis techniquesData collection, measurement, and analysis methodsStatistical tools and hypothesis testingRoot cause analysis and problem-solving methodologiesDMAIC (Define, Measure, Analyze, Improve, Control) frameworkPractical application of Lean Six Sigma in real-world scenariosEach question in the mock exams is accompanied by detailed explanations and answers, ensuring you understand the underlying concepts and principles behind the correct responses. Our mock exams are meticulously designed to simulate the format and difficulty level of the actual certification exam, allowing you to assess your knowledge and readiness effectively.In addition to the mock exams, we offe

Course Objectives:1. Describe Verilog HDL and develop digital circuits using gate level and data flow modeling2. Develop Verilog HDL code for digital circuits using switch level and behavioral modeling3. Design and develop digital circuits using Finite State Machines(FSM)4. Perform functional verification of the above designs using Test Benches.5. Implementation of experiments on FPGA/CPLD boards.Course Outcomes: The students able to1. Appreciate the constructs and conventions of the Verilog HDL programming in gate level and data flow modeling.2. Generalize combinational circuits in behavioral modeling and concepts of switch level modeling3. Design and analyze digital systems and finite state machines.4. Perform functional verification by writing appropriate test benches.5. Implement designs on FPGA/CPLD boards.List of Experiments:Write the Code using VERILOG, Simulate and synthesize the following:1. Write structural and dataflow Verilog HDL models fora) 4-bit ripple carry adder.b) 4-bit carry Adder – cum Subtractor.c) 2-digit BCD adder / subtractor.d) 4-bit carry look-ahead addere) 4-bit comparator2. Write a Verilog HDL program in Hierarchical structural model fora) 16:1 mux realization using 4:1 muxb) 3:8 decoder realization through 2:4 decoderc) 8-bit comparator using 4-bit comparators and additional logic3. Write a Verilog HDL program in the behavioral model fora) 8:1 muxb) 3:8 decoderc) 8:3 encoderd) 8-bit parity generator and checker4. Write a Verilog HDL program in structural and behavioral models fora) 8 bit asynchronous up-down counterb) 8 bit synchronous up-down counter5. Write a Verilog HDL program for a 4

Impara la progettazione CAD, la simulazione FEM, l'animazione e la produzione di parti singole e assiemi passo dopo passo con FUSION 360 | La guida pratica per principianti | Creato da un ingegnere.FUSION 360 è disponibile come licenza gratuita per utenti privati e hobbisti!Assicurati di dare un'occhiata al trailer del corso!Sei interessato alla progettazione CAD e alla creazione di oggetti tridimensionali per la stampa 3D o altre applicazioni (creazione di modelli, prototipi, elementi di design,...)? Stai cercando un corso pratico e compatto per principianti per il programma Fusion 360 di Autodesk e vuoi seguire un corso professionale da un ingegnere?Allora sei arrivato nel posto giusto e questo corso è perfetto per te! In questo tutorial , imparerai tutte le basi che devi conoscere quando usi Fusion 360 di Autodesk, in dettaglio e passo dopo passo. Inizia subito con l'aiuto di un corso CAD, CAM e FEM professionale, presentato chiaramente e guidato passo dopo passo.Fusion 360 combina e collega diverse discipline ingegneristiche come CAD ("Computer Aided Design"), CAM ("Computer Aided Manufacturing") e FEM ("Finite Element Method"), riassunte: CAE ("Computer Aided Engineering") in un unico software. Con Fusion 360 non solo puoi creare parti o assemblaggi, ma anche eseguire simulazioni e animazioni, così come la programmazione per una macchina CNC. L'obiettivo principale di questo corso è la progettazione con Fusion 360, cioè la sezione CAD/Design del programma. Ma non preoccuparti, le altre caratteristiche di Fusion 360 non saranno trascurate e saranno coperte in dettaglio!I vantaggi di questo corso in sintesi:Impara passo dopo passo le spiegazioni di base su come utilizzare FUSION 360 con la guida di un ingegnere (Master of Engineering) e di un utente espertoApprendimento pratico con m

AIMS OF THE COURSEAre you ready to explore the world of time-to-event data, particularly survival analysis and master the essential techniques used in medical research, public health, and social sciences? This course is designed to equip you with both the theoretical understanding and practical skills needed to confidently perform survival analysis using R.WHO THIS COURSE IS FOR?Whether you're a student, researcher, or data professional, this course will walk you through key survival analysis concepts—from censoring and survival functions to advanced models like the Cox proportional hazards regression. You’ll not only learn the theory but also apply it to real-world projects and datasets.OUTCOMESBy the end of the course, you will be able to:Grasp core concepts in survival analysis such as censoring, hazard functions, and survival curves.Understand the fundamentals of survival analysis methods including Kaplan-Meier analysis, Log-rank test, and Cox regression.Proficiently perform survival analyses as well as build Cox regression model using RCreate summary tables and charts (i.e., KM curve, baseline hazards and hazards rates)Evaluate and test model assumptions, and handle violations.ABOUT MYSELFLam Nguyen is a dedicated educator and experienced data analysis with a strong background in biotechnology, biology, and statistical analysis and modeling. He holds a PhD and MSc from Flinders University, with additional qualifications from Mahidol University, Osaka University, and Hanoi University of Science (VNU)