.Net framework
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The document provides an overview of the .NET Framework, which is a development framework that provides a runtime environment and base class libraries. It discusses key aspects of the .NET Framework including its multi-language support through a common runtime engine, comprehensive base class libraries, and two-phase compilation process that first compiles code to CIL and then JIT compiles to machine code. The Common Language Runtime (CLR) is responsible for executing and managing code and types, while the Common Type System (CTS) and Common Language Specification (CLS) enable cross-language integration and interoperability.
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Asp.net orientation
Asp.net orientationYogendra Tamang Slides presented on Orientation program held at Nepal Engineering College for 6th Semester of Bachelors in Electronics/Electrical Engineering.
Azure machine learning tech mela
Azure machine learning tech melaYogendra Tamang This document provides an overview of Azure Machine Learning. It discusses getting started by creating a workspace and importing data. Key steps include pre-processing and cleaning data, training models using various algorithms, evaluating models, and deploying predictive models as web services. The document promotes Azure ML for its rich set of modules that support tasks like data transformation, feature selection, and text analytics. It provides examples of machine learning problems and recommends further resources for learning about Azure ML.
Machine learning and azure ml studio gabc
Machine learning and azure ml studio gabcYogendra Tamang Machine Learning and Azure ML Studio
This document outlines a presentation about machine learning and Azure ML Studio. It introduces machine learning concepts like AI and learning from examples. It then discusses how Azure ML Studio allows users to create models by getting and preprocessing data, defining features, training models using algorithms, and scoring/testing models. The document provides an example case scenario of using the platform to predict automobile prices by creating a model with automobile data, preprocessing it, training a random forest model, and scoring new automobile data.
Machine learning and azure ml studio
Machine learning and azure ml studioYogendra Tamang This document provides an overview of machine learning and Azure ML Studio. It discusses how machine learning grew out of artificial intelligence work and is used for applications like database mining, recommendations, and computer vision. The document then outlines the process for creating models on Azure ML Studio, including getting data, pre-processing, defining features, training a model with an algorithm like linear regression, scoring and testing the model. It provides an example of using the automobile price dataset to predict new automobile prices through this process and a demonstration.
Image classification with Deep Neural Networks
Image classification with Deep Neural NetworksYogendra Tamang This document discusses image classification using deep neural networks. It provides background on image classification and convolutional neural networks. The document outlines techniques like activation functions, pooling, dropout and data augmentation to prevent overfitting. It summarizes a paper on ImageNet classification using CNNs with multiple convolutional and fully connected layers. The paper achieved state-of-the-art results on ImageNet in 2010 and 2012 by training CNNs on a large dataset using multiple GPUs.
Efficient Neural Network Architecture for Image Classfication
Efficient Neural Network Architecture for Image ClassficationYogendra Tamang The document outlines the objectives, methodology, and work accomplished for a project involving designing an efficient convolutional neural network architecture for image classification. The objectives were to classify images using CNNs and design an effective CNN architecture. The methodology involved designing convolution and pooling layers, and using gradient descent to train the network. Work accomplished included GPU configuration, designing CNN architectures for CIFAR-10 and MNIST datasets, and tracking training loss, validation loss, and accuracy over epochs.
ADO.NET Introduction
ADO.NET IntroductionYogendra Tamang ADO.NET provides objects and features for accessing and manipulating data in a database. It uses a disconnected data architecture where data is copied from the database to work with locally. Key objects include the connection object for connecting to data sources, command object for executing queries, and data adapter for transferring data between a database and dataset. ADO.NET supports LINQ queries and working with data in memory through datasets, which are local copies of relevant database portions that can be manipulated independently before updating the database.
Introduction and Starting ASP.NET MVC
Introduction and Starting ASP.NET MVCYogendra Tamang This document outlines a presentation on ASP.NET MVC, including an introduction to MVC architecture and components like controllers, actions, views and models. It proposes developing an ASP.NET MeetUp application using MVC and Entity Framework Code First to manage meetup and member data. The presentation will demonstrate creating models, controllers and views, scaffolding, and performing CRUD operations to create, read, update and delete meetup events and members. It provides references for further information on ASP.NET MVC and Entity Framework Code First.
Electronics projects
Electronics projectsYogendra Tamang This document outlines various embedded projects proposed by Yogendra Tamang, including automation projects for home, agriculture, energy, and education. Some key projects mentioned are an automatic water lifting and pouring system, smart phone-based home automation using Bluetooth or WiFi, and a smoke detector and firefighting robot. A wide range of topics are covered including IoT, robotics, artificial intelligence, and renewable energy. Contact information is provided for Yogendra Tamang to discuss potential collaboration on these embedded systems projects.
Infromation Reprentation, Structured Data and Semantics
Infromation Reprentation, Structured Data and SemanticsYogendra Tamang This document provides an overview of information representation standards including XML, DTD, XML Schema, RDF, RDF Schema, and related technologies. It describes the basic structures and components of these standards for representing structured data and semantics on the web.
Task programming
Task programmingYogendra Tamang This document discusses task-based programming models for distributed computing. It defines tasks as distinct units of code that can be executed remotely. Task computing provides distribution by harnessing multiple computing nodes, unlike multithreaded computing within a single machine. The document categorizes task computing into high-performance, high-throughput, and many-task computing. It also describes popular task computing frameworks like Aneka, Condor, Globus Toolkit, and describes developing applications using the Aneka task programming model.
Arduino Workshop Day 2
Arduino Workshop Day 2Yogendra Tamang 1. Arduino is an open-source hardware and software platform used for building electronics projects. It contains a microcontroller and can be programmed using C code.
2. Arduino boards have digital and analog input/output pins that can sense the environment by receiving signals from sensors and control devices like motors. Common boards include the Uno, Due, and LilyPad.
3. The basic structure of an Arduino program includes a setup() function for initialization and a loop() function containing the main code. Functions like digitalWrite(), analogRead(), and Serial.print() are used to control pins, read sensors, and display output.
Arduino Day 1 Presentation
Arduino Day 1 PresentationYogendra Tamang I have prepared this presentation when I was studying at Western Region Campus. I along with some of my friends conducted training for junior students on Arduino. Its day-1 presentation.
Virtualization lab
Virtualization labYogendra Tamang This document describes a virtualization setup using Citrix XenServer hypervisor. Two virtual machines, one running Windows 7 and the other Linux Ubuntu, are configured on the XenServer hypervisor. Each virtual machine is hosting different web servers, with one running XAMP and the other IIS, allowing different web sites to run in isolated virtual environments on the single physical server.
Path finder
Path finderYogendra Tamang This document describes Pathfinder, a graphic-theoretic technique that forms networks from proximity data. Pathfinder takes proximity matrices and produces networks where nodes represent concepts and links represent relationships between concepts. It uses two parameters, q and r, to determine the number and distance of links in the generated network. Pathfinder is useful for knowledge elicitation, data visualization, and analyzing citation patterns.
Classification and Clustering
Classification and ClusteringYogendra Tamang This document provides an overview of clustering and classification techniques. It defines clustering as organizing objects into groups of similar objects and discusses common clustering algorithms like k-means and hierarchical clustering. It also provides examples of how k-means works and references for further information.
Notation 3(n3)
Notation 3(n3)Yogendra Tamang Notation 3 (N3) is a language for representing information in graphs or triples with subjects, predicates, and objects. It allows defining vocabularies to classify things and properties between them. Prefixes can represent long URIs as shorthand. Equivalences show when terms in one vocabulary are the same in another. Vocabularies should be published on servers with committed URI spaces to maintain them over time.
Cloud mobility final
Cloud mobility finalYogendra Tamang The document discusses cloud mobility and mobile enterprise application platforms. It describes how bringing your own device (BYOD) allows users flexibility and increases productivity. It also outlines some business problems with mobilizing systems, like separating processes, security, integration, and supporting different devices and infrastructure. The document then explains that mobile enterprise application platforms allow "any app to any device" and discusses key elements like middleware, management tools, and application development environments.
Natural language processing
Natural language processingYogendra Tamang This document provides an outline on natural language processing and machine vision. It begins with an introduction to different levels of natural language analysis, including phonetic, syntactic, semantic, and pragmatic analysis. Phonetic analysis constructs words from phonemes using frequency spectrograms. Syntactic analysis builds a structural description of sentences through parsing. Semantic analysis generates a partial meaning representation from syntax, while pragmatic analysis uses context. The document also introduces machine vision as a technology using optical sensors and cameras for industrial quality control through detection of faults. It operates through sensing images, processing/analyzing images, and various applications.
IP/Wi-Fi Based Robot
IP/Wi-Fi Based RobotYogendra Tamang This project is done for partial fulfillment of Bachelor's Degree, IOE, TU, Nepal on the year 2066. We can control movement of robot.At the same time we know temperature and humidity of the surrounding in web page..
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- 1. .NET Framework Yogendra Tamang 30 July, 2017
- 2. Outline • Introduction and Background • Compilation • CLS and CTS • CLR • Base Class Libraries
- 4. .NET Framework • It is framework for building software systems. • .Net Framework provides Runtime Environment and Comprehensive Base Class libraries(BCL). • The run time layer is called Common Language Runtime(CLR).
- 5. Key Features 1. Multi-language Support: Various languages(C#, F#, Visual Basic etc.) can be used to create .NET Application 2. Single runtime engine: Various languages follow fixed standard and they all run on single engine. 3. Comprehensive Base Class Libraries: .Net Framework has predefined set of libraries through which you can build code libraries, console(terminal) applications, graphical desktop applications, web applications etc.
- 6. Key Features (Contd..) 1. Language Integration There is cross language inheritance (You can write class in C# and extend it on Visual Basic), cross language debugging and cross language exception handling. 2. Simple Deployment 3. Interoperability with existing code .NET Framwork is backward-compatible and even can comingle with COM(Component Object Model) based Softwares.
- 7. Compilation • Two Phase Compilation First Phase: CIL Generation from .NET Aware Compilers Last Phase: Machine Code from JIT Compiler. Figure 1 : First Phase Compilation CIL Jitter Machine code Figure 2 : Second Phase Compilation
- 8. Compilation • Code Written in .NET Aware Language(C#, VB etc.) are compiled by .NET Aware Compiler(C Sharp Compiler, Visual Basic Compiler etc.) and .Net Binary blob is created. • .Net binary blob is also termed as Assembly and it contains Common Immediate Language(CIL)* and Metadata. • JIT** compilers compile CIL codes to platform specific instructions. • In this way compilation of .Net Code is done * CIL is also termed as MicroSoft Intermediate Language(MSIL) or just Intermediate Language (IL). **Just In Time (JIT) or Jitters compiles IL into Machine code on the fly.
- 9. Common Language System(CLS) • CLS says how computer programs can be turned to CIL. • It is agreement among language designers and class library designers to use common subset of basic feature that all languages have to follow. • Multi Language Support is possible due to CLS.
- 10. Common Type System (CTS) • Types are Classes, Delegates, Enumeration, Structures and Interface • CTS is formal specification that documents how types are declared, used and managed. • CTS provides Object Oriented Model and it also provides a library primitive data type. • It helps to enable cross language integration, type safety and high performance code execution.
- 11. Common Language Runtime • It’s a collection of services that are required to execute a given compiled unit of code. • It is responsible for resolving location of assembly and finding the requested type within binary by reading contained metadata • It loads custom assemblies, creates custom types, interacts with types contained in .NET Base Class Libraries