Бидний тухай
Багш ажилтан
Р.Жавхлан
Багш
МУИС, Мтэс, Мэдээлэл, компьютерийн ухааны тэнхим
Төлөв: Ажиллаж байгаа
r.javkhlan@num.edu.mn
Хичээлийн байр 8-202
Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. CI/CD is the best practice for teams using a DevOps methodology and is best suited to agile methodologies. CI/CD automates code integration and delivery, allowing software development teams to focus more on business requirements. Implementing CI/CD and automating the delivery process fromapplication development to the live environment using pipelines, reducing the time and errors during manual delivery, the previously mentioned high-quality and reliable software products are delivered to the end user.This work will automate the workflow of software products from development to supply and delivery using pipelines.
Ulaanbaatar Gigapixel Panorama Photography To promote the country's history, culture, natural and tangible heritage we are proposing to implement Ulaanbaatar Gigapixel Panorama Photography. This work may attract tourists and make them feel like they are in a high-quality place from anywhere in the world. Gigapixel Equi-rectangular Panorama is used to represent major cities that are international tourism hubs. Because images are high-resolution, they can be used to create (wear multiple images), visualize (give users a realistic feel for easy, fast, and high resolution), experiment with large data processing and visualization techniques, and compare gigapixel image processing methods. An appropriate methodology needs to be identified and used. Outcome: A Gigapixel Equi-rectangular Panorama map of all parts of Ulaanbaatar will be developed, and this map will be the first Gigapixel Equi-rectangular Panorama map in Mongolia
This paper explores in detail the methods, techniques, and technologies employed to capture a high-definition gigapixel panoramic image of Ulaanbaatar, the capital city of Mongolia. Using specialized equipment including a Canon 6D Mark II camera, a Sigma 50-500mm lens, and a Benro Polaris BR209 panoramic head, a series of 1260 photographs were taken, each with a resolution of 3120 x 2080 pixels. These images were then expertly stitched and edited to produce a seamless panoramic display. We further delve into the complexities of storing such a large image file and the software solutions for presenting this on a web platform
In this paper, we presented two POS taggers for Mongolian, namely Neural Networks - Multilayer Perceptron and Hidden Markov Model with Viterbi. The accuracy of the former tagger is 95.6%, whereas the latter tagger is 85.6%. Also, we compared the performance of our taggers with the previous works. The comparison shows that the Neural Network tagger performs better for Mongolian POS tagging than other approaches. Our dataset consists of about 5000 sentences and includes almost 100,000 words for training and testing.
As virtual tour and virtual reality technology advances, resolution with gigapixel panoramic images become available. Visualization technique for gigapixel panoramic image needs to perform fast without any delay to access gigapixel ultra high resolution image data through wired or wireless internet by a Mobile, Tablet or a standard PC. Also, several popular visualization formats like equirectangular projection were developed to map a real scene to a panoramic image. However, Equirectangular projection may not the best choice when considering an image quality because of the distortion on both poles of the sphere. In this paper, we show the result of the evaluation for the projection formats using various comparison method to find which projection format (Equirectangular Projection, Cubemap Projection and Octahedron projection) and visualization technologies provides better image quality and speed of loading over internet. We exclude other format that has lower quality than the equirectangular projection format used in this experiment.
The aim of this paper is to describe a a simple Neural Networks model - Multilayer Perceptron for Mongolian Part-of Speech tagging. We used about 1400 manually tagged sentences for training and testing from Mongolian Penn Treebank. The performance of the model is 80.78% which we consider a promising result. Also another contribution of this work is that we make our testing data online for the sake of the development of Mongolian Part-of Speech tagging research.
In this paper, we describe MongoIE, an Open Information Extraction(OpenIE) system for the Mongolian language. We present the characteristic of the language and, after analyzing the available preprocessing tools, we describe the features used for building the system. We have implemented two different approaches: 1)Rule-based and 2)Classification. Here, we describe them, analyze their errors and present their results. In the best of our knowledge, this is the first attempt in building Open IE systems for Mongolian. We conclude by suggesting possible future improvements and directions.
Paper presents a suitability analysis of motion sensor technology that is the main technology of creating the virtual environment using popular motion sensors of Kinect motion sensor and Shadow full-body motion sensor. Recently virtual environment technology that enabled people to experience imagination of human has grown rapidly. The motion sensing process can be a variety of ways, and methods of Kinect and Shadow motion sensors techniques will further explain.
Paper presents a suitability analysis of motion sensor technology that is the main technology of creating the virtual environment using popular motion sensors of Kinect motion sensor and Shadow full-body motion sensor. Recently virtual environment technology that enabled people to experience imagination of human has grown rapidly. The motion sensing process can be a variety of ways, and methods of Kinect and Shadow motion sensors techniques will further explain.
Equirectangular panoramas based virtual tours are popular tool for achieving 360-degree immersed viewing experiences. Nowadays, virtual tours are very popular and many people would like to see a virtual house before the acquisition of the real one. A virtual tour captures a scene from one point and viewers software allows the user to control the viewing direction, but usually the viewer is not allowed to move around and interact the objects in the virtual tour. This study proposes a strategy for transforming virtual tour with the effect of moving and interacting in three dimensions using full body motion sensor - Shadow. Preliminary proof of concept test shows that the strategy allows free translation within 360 virtual tours.
Equirectangular panoramas based virtual tours are popular tool for achieving 360-degree immersed viewing experiences. Nowadays, virtual tours are very popular and many people would like to see a virtual house before the acquisition of the real one. A virtual tour captures a scene from one point and viewers software allows the user to control the viewing direction, but usually the viewer is not allowed to move around and interact the objects in the virtual tour. This study proposes a strategy for transforming virtual tour with the effect of moving and interacting in three dimensions using full body motion sensor - Shadow. Preliminary proof of concept test shows that the strategy allows free translation within 360 virtual tours.
