Automation Components and Industrial Applications

COURSE CONTENT 1 Introduction 2 Introduction to Generic Drug Development 2.1. Active Pharmaceutical Ingredient (API) Finished Pharmaceutical Product (FPP) 2.2. Reference Listed Drug (RLD) Generic (Multisource) Pharmaceutical Products 2.3. Pharmaceutical Bioequivalency (Therapeutic Equivalency) 2.4. Reference Listed Drug (RLD) Development 2.5. Generic Drug Development 2.6. Comparision of Reference Listed Drug (RLD) Development Generic Drug Development 2.7. In-vitro In-vivo Studies for Drug Product 3 Introduction to Project Management 3.1. Project Elements of Project (Cost, Time, Scope) 3.2. Priorizitation of Project (Pipeline) 3.3. Project Phases 3.4. Project Manager 3.5. Project Team Project Stakeholders 3.6. Project Management Tools 4 Project Management for Generic Drug Development 4.1. Project Diary for Generic Drug Development 4.2. Project Milestones for Generic Drug Development 4.3. Project Gantt Chart for Generic Drug Development 4.4. Generic Drug Development Project Phases (Execution Phase) 5 Desk Research for Generic Drug Development 5.1. Desk Research for Generic Drug Development 5.2. European Medicines Agency (EMA) 5.3. World Health Organization (WHO) Food and Drug Administration (FDA) 5.4. Pharmacopoeias Dailymed 5.5. Drugscom 5.6. DrugBank 5.7. Google Patents 5.8. Espacenet 6 Raw Material Selection for Generic Drug Development 6.1. Raw Material Selection for Generic Drug Development 6.2. Evaluation of Characteristics of API 6.3. Evaluation of Stability Characteristics of API 6.4. Evaluation of Suppliers of API 6.5. Evaluation of Inactive Ingredient and Packaging Material 7 Pre-Formulation Studies for Generic Drug Development 7.1. Pre-Formulation Studies for Generic Drug Development 7.

Switched Reluctance Motor is one of the oldest electric motor that is competing since 180 years. Availability of sophisticated and economical power electronics technology gave rebirth to the most efficient and robust motor -SRM. Due to higher efficiency, magnet-less operation and simple mechanical structure, SRM becomes most preferable electric motor for latest electric vehicle applications. Recently advanced version of SR technology have been used to power Tesla Model 3 electric car and claimed significant increased in range (efficiency) compared to induction motor used in Model S.SRM offers numbers of benefit like higher efficiency, less weight, mow cost, reduced manufacturing process time, wide constant power region, fault tolerant operation and superior performance even at comparative higher temperature.This course explains each and every fundamental detail about switched reluctance motor and drive. Starting from fundamental operation of SRM, it covers extreme detail about each parameters and terms related to Motor, converter as well as controller. It includes SRM geometries, magnetic characteristics, inductance profile, angular parameters, torque equation, torque speed characteristics, converter topologies, speed control, closed-loop control, braking, regeneration, torque ripple, acoustic noise etc.Animation and visualization developed for this course will help in learning with easy.Hello!,I am Dr. Jignesh Makwana. I am working of SRM since 2005 and my first research paper on SRM converter was published in 2008. Then after I have published numbers of research articles on SRM in various journals, conferences and books. Other than theory and publications, I have worked intensively on SRM hardware as well as simulations. I have also provided consultancy service to the industry for designing and manufacturing SRM, converter and controller. This fundamental course is compilation of all the i

Kelas online ini dirancang khusus untuk memberikan peserta pengantar yang komprehensif terhadap penggunaan API dan SDK Google Maps Platform. Dalam kurikulum ini, peserta akan dibimbing melalui konsep-konsep dasar yang diperlukan untuk memahami apa itu API dan SDK Google Maps Platform, serta bagaimana cara mengaktifkan dan mengintegrasikannya ke dalam aplikasi mereka. Kelas ini juga akan membahas fitur-fitur utama yang disediakan oleh API dan SDK Google Maps Platform.Kelas ini sangat sesuai untuk pemula yang ingin memahami konsep dasar seputar penggunaan API dan SDK Google Maps Platform. Selain itu, pengembang yang ingin meningkatkan kualitas aplikasi mereka dengan menambahkan fitur peta yang interaktif juga akan mendapatkan manfaat besar dari kursus ini. Bahkan, bisnis yang ingin memanfaatkan data lokasi dan peta dari Google Maps untuk keperluan mereka juga dapat mendapatkan wawasan yang berharga melalui kelas ini.Dengan menyelesaikan kelas ini, peserta akan merasa lebih percaya diri dalam mengembangkan aplikasi yang menggunakan data lokasi dan peta dari Google Maps Platform. Mereka akan memiliki pengetahuan yang kuat tentang cara menggunakan API dan SDK Google Maps Platform untuk menciptakan aplikasi yang lebih menarik dan informatif bagi pengguna mereka. Dengan demikian, kelas ini merupakan langkah awal yang sempurna bagi siapa pun yang ingin memanfaatkan potensi penuh Google Maps Platform dalam pengembangan aplikasi mereka.

Dear Students,Preparing for an Interview in Deep Learning Don’t be stressed; take our deep learning-based practice quiz and prepare yourself for the interview.With these deep learning quiz questions, we are going to help you build your confidence by providing tips and tricks to solve deep learning-based questions. Here you will find deep learning-based multiple-choice questions and answers for your next job or exam. In deep learning multiple-choice question-based practice tests, there will be a series of practice tests wherein you can test your basic deep learning concepts on every topic.Who should practice these deep learning-based questions?Anyone wishing to sharpen their knowledge in Deep LearningAnyone preparing for JOB interview in Deep LearningWhat is the importance of deep learning?Deep learning is a revolutionary technology that’s changing how businesses and industries function across the globe in a positive way. This deep learning quiz is a practice test that is focused on helping people wanting to start their career in the deep learning industry. This deep-learning practice test helps you assess how prepared you are for the job interview.Here, you get deep learning MCQs that test your knowledge of the technology. These deep learning practice tests are prepared by subject matter experts and are in line with the questions you can come across in a job interview. Take this test today!Generally, you need to refer to a variety of books and websites in order to cover the ocean of topics in deep learning. To make it easy for you guys, I have collected a few deep learning-based questions from different topics. When you solve these questions, your confidence will definitely increase.Best of luck for the exam.

Are you a person with a background in chemistry, engineering, biology, or physical sciences interested in learning a programming language to model problems of chemistry with programming? Or maybe you are someone from a computer science background who is curious about how to model problems of chemistry computationally.In this course, you'll know how to model different chemistry problems with Python! Through each section, you'll learn (or review) basic concepts of the programming language Python! The following classes are exercises in which I explain some problems of chemistry. After watching these classes, it is expected that you try to solve these problems by yourself. In the following videos, I solve the problems of chemistry step-by-step in the programming language Python.Each chapter is structured as follows:Basic lectures about some subjects of Python (variables, data types, loops, etc.Videos of exercises, in which I explain the problems of chemistry that you must model in PythonVideos of the exercises being solvedAlso, there are three projects that you must solve after you watch a certain number of classes. In the first project, you must write code that reads a string of characters representing an organic compound (as SMILES) and generates the name of the compound according to IUPAC rules. In the second project, you must write code that generates the molecular formula of a compound given the elements present in the substance, their molar masses, and their relative amounts in a sample. And finally, in the third project, you must write a program that balances a chemical equation by multiplying the components of the reaction by random coefficients. Each of these projects is cumulative and requires knowledge about the commands and methods that have been seen so far in Python. Since this course is introductory, we will only use built-in commands and libraries.

Sebagai salah satu sumber energi terbarukan, energi panas bumi secara luas diterapkan untuk mendukung kehidupan manusia dengan mengubahnya menjadi listrik (Penggunaan tidak langsung). Mengungkap potensi energi panas bumi di bawah permukaan bumi atau memahami seberapa besar sumber daya tersebut sangat penting untuk tahap pengembangan dan apakah prospek tersebut layak untuk dikembangkan lebih lanjut. Namun, dalam evaluasi dan penentuan sumber daya panas bumi memerlukan pendekatan multidisiplin pengetahuan di bidang kebumian, seperti geologi, geofisika, geokimia, dan teknik reservoir. Oleh karena itu, kursus ini akan mencakup beberapa metode penilaian sumber daya panas bumi termasuk praktiknya yang digunakan dalam industri, terutama pada tahap eksplorasi.Selain itu, kursus ini juga akan memperkenalkan teknologi yang berguna untuk menilai sumber daya panas bumi. Teknologi yang dikembangkan oleh AILIMA berbasis Cloud Computing System, yaitu JIWA Power Density dan JIWA Volumetric.Peserta mempelajari hal-hal berikut ini:Konsep sumber daya dalam energi panas bumi;Berbagai metode penilaian sumber daya yang ada dan penerapannya di industri;Estimasi sumber daya menggunakan metode Power Density dan Volumetric;Properti batuan dalam penilaian sumber daya panas bumi;Tipe Distribusi Probabilistik Monte Carlo;Estimasi sumber daya panas bumi menggunakan JIWA Power Density dan JIWA Volumetric.Siapa saja yang cocok mengikuti kursus ini? Kursus ini mahasiswa dan praktisi pemula dengan latar belakang kebumian seperti Geologi, Geofisika, Teknik Perminyakan, Teknik Kimia, atau masyarakat umum yang ingin memahami perhitungan sumber daya dan cadangan panas bumi menggunakan JIWA Power Density Volumetric (Geothermal Software).