8 research outputs found
Hymenoscyphus fraxineus and two new Hymenoscyphus species identified in Korea
No full textISSN:1617-416XISSN:1861-8952ISSN:1861-895
Development of Air Inflow Model for Airtightness Performance Evaluation of Concrete Tube Structures with Cracks
No full textPhotocurrent Imaging of Nanocrystal Quantum Dots on Single-Walled Carbon Nanotube Device
No full textMachine Learning-Based Live Weight Estimation for Hanwoo Cow
No full textLive weight monitoring is an important step in Hanwoo (Korean cow) livestock farming. Direct and indirect methods are two available approaches for measuring live weight of cows in husbandry. Recently, thanks to the advances of sensor technology, data processing, and Machine Learning algorithms, the indirect weight measurement has been become more popular. This study was conducted to explore and evaluate the feasibility of machine learning algorithms in estimating the body live weight of Hanwoo cow using ten body measurements as input features. Various supervised Machine Learning algorithms, including Multilayer Perceptron, k-Nearest Neighbor, Light Gradient Boosting Machine, TabNet, and FT-Transformer, are employed to develop the models that estimate the body live weight using body measurement data. Data analysis is exploited to explore the correlation between the body size measurements (the features) and the weights (target values that need to be estimated) of cows. Data analysis results show that ten body measurements have a high correlation with the body live weight. High performance of all applied Machine Learning models was obtained. It can be concluded that estimating the body live weight of Hanwoo cow is feasible by utilizing Machine Learning algorithms. Among all of the tested algorithms, LightGBM regression demonstrates not only the best model in terms of performance, model complexity and development time
Case report: Investigation of genetic mutations in a case of schistosomus reflexus in a Holstein dairy cattle fetus in Korea
No full textSchistosomus reflexus (SR) is one of the most common congenital anomalies found in cases of cattle dystocia; this disorder occurs mostly in cattle. Congenital anomalies such as SR are caused by various genetic and environmental factors, but no specific cause has been elucidated for SR. This study reports a case of SR in a Holstein dairy cattle fetus with congenital anomalies in Korea. Grossly, a distinct spine curvature was observed between the thoracic and lumbar vertebrae, accompanied by a consequential malformation from the sacrum to the occipital bone. Furthermore, the thoracic and abdominal organs were exposed. In computed tomography (CT) images, mild and severe kyphoscoliosis was observed in T1~11 and L1~6, respectively. Additionally, vertebral dysplasia was observed in S1~5 and Cd 1~5. To pinpoint the causal genes and mutations, we leveraged a custom 50K Hanwoo SNP-Chip and the Online Mendelian Inheritance in Animals (OMIA) database. As a result, we identified a nonsense mutation in apoptotic protease activating factor 1 (APAF1) within HH1 that was associated with a decrease in conception rate and an increase in abortion in Holstein dairy cattle. The genotype of the SR case was A/A, and most of the 1,142 normal Holstein dairy cattle tested as a control group had the genotype G/G. In addition, the A/A genotype did not exist in the control group. Based on the pathological, genetic, and radiological findings, the congenital abnormalities observed were diagnosed as SR
Особенности корейского делового дискурса на материале электронной корреспонденции
No full textАннотация магистерской диссертации «Особенности корейского делового дискурса на материале электронной корреспонденции» А.А. Булыно, магистрантки 2 курса (профиль «Языки народов Азии и Африки») Магистерская диссертация посвящена изучению особенностей южнокорейского бизнес дискурса. Целью работы является выделение особенностей дискурса корейской корпоративной бизнес-корреспонденции как особого веб-жанра с последующим выделением поджанров. В первой главе мы рассматриваем понятие «дискурс», основные категории дискурса, а также характеристики делового дискурса. Глава 2 посвящена социокультурному анализу дискурса, определению ролей участников общения, а также описанию основных традиционных особенностей южнокорейского делового дискурса. Далее в Главе 3 мы даем определение «жанра» и «поджанра», приводим список и характеристики выделенных поджанров в таком веб-жанре, как южнокорейская деловая корреспонденция, переходя далее к квантитативному анализу текстов выделенных поджанров с описанием их основных характеристик, что позволяет нам подтвердить выделение исследуемых поджанров. Наконец, мы определяем ряд шаблонных структур текста, грамматических конструкций и маркирующей лексики, используемых в текстах электронной корпоративной корреспонденции. Теоретическую базу работы составляют исследования по дискурсу и дискурсивному анализу В.И. Карасика, М.Л. Макарова, Т.А. ван Дейка и других. Анализ данных мы проводим на основе исследований о корейском e-mail дискурсе (Kim Jaegu, 2000), лингвистике корейского языка (L. Brown, J. Yeon, 2015; Kim K., 2014), исследований социолингвистических особенностей языка (Карасик В.И., 1991, 2009; Клюев, 2002; Куликова, 2006 и др.), и работ, посвященных изучению жанровых характеристик текста (Ягунова Е.В., 2010, 2014; Касевич В.Б., 2009 и др.) Данные были собраны на базе отделения международной южнокорейской корпорации (г. Санкт-Петербург), где на постоянно присутствуют носители современного корейского языка. В основном, в изученных текстах писем переписка осуществляется с представителями компаний, находящихся на территории Южной Кореи. Материалы собраны автором в период обучения в магистратуре Восточного факультета СПбГУ в 2015-2017 гг., а также прохождения практики в вышеупомянутой организации. Анализ собранных данные способствовал определению основных характеристик текстов корпоративной электронной переписки как представителей южнокорейского делового дискурса. Нам удалось отметить в современном бизнес дискурсе такие традиционные элементы, как проявление почтительности перед вышестоящим и другие. Произведенный квантитативный анализ текстов позволил определить особенности строения текстов, шаблонные грамматические конструкции и основную маркирующую лексику, что способствовало выделению поджанров изучаемого вэб-жанра.Annotation of Master’s Thesis «Korean Business Discourse: a Case Study of E-mail Correspondence» Bulyno Anastasia, Master Degree 2nd Year Student (Program: «Languages of Asia and Africa») The Master’s thesis is dedicated to the study on South Korean business discourse aspects. The work objective is to define special discourse aspects of Korean corporate business correspondence as a separate web-genre with further definitions of sub-genres. In the first chapter we give consideration to the concept of “discourse”, the main categories of discourse, and some aspects of business discourse itself. The second chapter is dedicated to the sociocultural analysis of discourse, roles of the interlocutors, and the description of the main traditional aspects of the business discourse in South Korea. Hereafter, in the Chapter 3 we give the definition of “genre” and “sub-genre”, and list the identified sub-genres and its characteristics as a part of South Korean corporate business correspondence web-genre, where further we state the quantitative analysis of the texts of each sub-genre with its aspects and characteristics, which helps us to prove such separation into sub-genres. In conclusion we describe the number of the structural clichés, grammatical and lexical patterns that are frequently used in the studied texts of Korean e-mail corporate correspondence. We have used the discourse and discourse analysis based studies, such as V. Karasik, M. Makarov, T.A. van Dijk and other linguistic researches as the theoretical background of our work. The analysis of the material is conducted in the terms of the studies on Korean e-mail discourse (Kim Jaegu, 2000), on Korean language linguistics (L. Brown, J. Yeon, 2015; Kim K., 2014), on sociolinguistic aspects of language (V. Karasik, 1991, 2009; E. Kluev, 2002; L. Kulikova, 2006 etc.), and other works on the genre characteristics (E. Yagunova, 2010, 2014; V. Kasevich, 2009 etc.) The material was gathered on the basis of the local international South Korean company’s branch office (Located in Saint Petersburg), which is permanently manned by the modern south Korean language native speakers. Generally, the communication in the studied texts is brought about with the representatives of Korean companies mainly located in South Korea. The materials are gathered by the author of this study during the education in the Master’s Degree program in the Oriental Department of Saint Petersburg State University in 2015-2017 years as well as during the internship in the above mentioned international South Korean company. Analysis of the collected data had a beneficial effect to the specification of the main characteristics of the texts of e-mail corporate correspondence as a part of South Korean business discourse. We managed to specify such traditional aspects in the business discourse as the manifestation of respect to the seniors and some other aspects. The quantitative analysis that was carried out in our study conduced to the specification of structural characteristics of the texts, clichéd grammatical structures and main marking lexical elements, which was beneficial to the identification of sub-genres of e-mail corporate business correspondence as a web-genre and the part of South Korean business discourse
Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework
No full textThree-dimensional point cloud generation systems from scanning data of a moving camera provide extra information about an object in addition to color. They give access to various prospective study fields for researchers. With applications in animal husbandry, we can analyze the characteristics of the body parts of a dairy cow to improve its fertility and milk production efficiency. However, in the depth image generation from stereo data, previous solutions using traditional stereo matching algorithms have several drawbacks, such as poor-quality depth images and missing information in overexposed regions. Additionally, the use of one camera to reconstruct a comprehensive 3D point cloud of the dairy cow has several challenges. One of these issues is point cloud misalignment when combining two adjacent point clouds with the small overlapping area between them. In addition, another drawback is the difficulty of point cloud generation from objects which have little motion. Therefore, we proposed an integrated system using two cameras to overcome the above disadvantages. Specifically, our framework includes two main parts: data recording part applies state-of-the-art convolutional neural networks to improve the depth image quality, and dairy cow 3D reconstruction part utilizes the simultaneous localization and calibration framework in order to reduce drift and provide a better-quality reconstruction. The experimental results showed that our approach improved the quality of the generated point cloud to some extent. This work provides the input data for dairy cow characteristics analysis with a deep learning approach
