Reviewerly/exHarmony huggingface dataset:
≪외로운 사람, 힘든 사람, 슬픈 사람≫의 연출 접근방법 연구

Anton Chekhov(1860-1904)’s plays are different from other 19th century realism pieces due to the unique daily life of the Chekhov play. The daily life of Chekhov is not a represented routine on a superficial level. This evokes a new experience of theatre by presenting an unusual nature of human life in everyday life. Therefore, Chekhov''s plays have been loved by many artists and are actively staged in various forms so far. A Playwright, Yoon Sung-ho''s The Lonely, The Tired, The Sad(2018) in Seoul which will be dealt in this paper is a re-creation of Uncle Vanya by Chekhov. This captures the theme from lack of communication and individual deprivation. It is also known as faithful example of localization of the original play by incorporating the daily life of Chekhov into contemporary daily life of modern Korean society now.A viewpoint of art is bound to depend on how oneself view reality. Thus, the view and aspect on the everyday life in the play also varied as artists changed their viewpoints for the relationship between art and reality. In traditional represented plays, the everyday life was to re-enact reality on stage and to set the standard of value judgment on similarities with reality. However, after the advent of the post-drama era, everyday life is at a completely different starting point from that of the past. As Jean Baudrillard(1929-2007) said, this is the age of Simulacre. In other words, everyday life in this era should be viewed as a simulacre everyday life, not as a reproducible one like the past. In this context, it is also necessary to understand that the everyday life dealt within contemporary plays is a simulacre everyday life that is selected and expanded by writers and directors to reveal the difference repeatedly. In order to stage such works, understanding the concept of simulacre everyday life and a new directional approach to visualize them are required at the same time.This paper aims to create directorial approaches that strengthen the simulacre everyday life, which is revealed in The Lonely, The Tired, The Sad. To this end, the concept and characteristics of the simulacre everyday life were examined first and, based on this, the characteristics of the simulacre everyday life in The Lonely, The Tired, The Sad were analyzed as 1. Coexistence of actors and characters” and 2. Simultaneous speaking techniques to induce a shift in audience’ attitude Subsequently, ''1. Creating simulacre characters'' and ''2. Utilizing scenography for creating a performative environment'' were presented as production approaches to enhance the simulacre everyday life. Ultimately, this paper confirmed the possibility of enhancing the characteristics of the simulacre everyday life and the performative turn through the study of the directorial approaches based on the simulacre everyday life.
Witnessing latent time correlations with a single quantum particle

When a noisy communication channel is used multiple times, the errors occurring at different times generally exhibit correlations. Classically, these correlations do not affect the evolution of individual particles: a single classical particle can only traverse the channel at a definite moment of time, and its evolution is insensitive to the correlations between subsequent uses of the channel. In stark contrast, here we show that a single quantum particle can sense the correlations between multiple uses of a channel at different moments of time. Taking advantage of this phenomenon, it is possible to enhance the amount of information that the particle can reliably carry through the channel. In an extreme example, we show that a transmission line that outputs white noise at every time step can exhibit correlations that enable a perfect transmission of classical bits. When multiple transmission lines are available, time correlations can be used to simulate the application of quantum channels in a coherent superposition of alternative causal orders, and even to provide communication advantages that are not accessible through the superposition of causal orders.
The Effectiveness Of Transformational Trends In The Use Of Pedagogical Technologies In The Formation Of National Musical Hearing Skills Among Students

This article examines the effectiveness of the use of pedagogical technologies in the transmission of the national musical heritage from generation to generation through the improvement of technologies for the formation and development of national and classical musical hearing aids.
Multiscale Image Segmentation using Cascade MultiResUNet Proposal Masking Convolutional Network

Segmentation of aerial view images is useful for clear identification of the objects such as detection of structures, highways, vehicles, vegetation, disaster relief, and forms of land cover. It is also useful for tracking sustainable growth, including urban resource planning, climate change, and agriculture research. By learning to use aerial imagery to automatically generate building images, segmentation techniques are becoming crucial to scaling the mapping attempts. The latest research approaches suggest that Neural Network Architectures have significance in overcoming the limitations caused by traditional segmentation techniques. However, it was still uncertain if the segmentation model was properly implemented owing to the main problem of large size and high resolution in pixel-level image segmentation. In this research work, using the Cascaded MultiResUnet Proposal Masking Convolutional Network (CMPMCN) method, segmentation of the multiscale aerial imagery is presented. The Cascaded dilated MultiResUNet method is used for identifying and achieving better objects extraction in aerial images, and also the proposal masking method is used to train for generating masks of the region at every feature map. The approach has achieved 69.2% IoU score with 980M total parameter quantity, and 3*12H training duration. The results are compared with literature methods and proven to be better.
PPROBLEMS OF PHYSICAL CONTENT, REDUCED TO A SYSTEM OF LINEAR EQUATIONS WITH TWO VARIABLES

Functional and graphic lines are one of the foundations of mathematics teaching methods. The advantage of this line is that the study of other important lines of mathematics is carried out through the prism of the concept of function. Based on the experience of teaching mathematics, we know that the concept of function is abstract and very difficult for students to understand, so in order to enhance the visualization of the researching objects and concepts when implementing functional and graphic lines, students need to increase the system of physical content tasks for studying and understanding functions. In school course of algebra, the functional-graphical method is rarely used for solving a system of equations with two unknowns, as well as for solving equations with two unknowns. The article deals with the problems of solving problems of physical content when studying a system of linear equations with two variables in school course of algebra. The emphasis is on the fact that the considered problems with physical content are interconnected with functionalgraphic lines in algebra and allow deepening the topic, revealing the practical content. The problems with physical content presented in the article are intended for studying linear functions of algebra and their graphs, studying functions, constructing and solving equations and a system of linear equations associated with these functions.
Post-Training Quantization for Vision Transformer

Recently, transformer has achieved remarkable performance on a variety of computer vision applications. Compared with mainstream convolutional neural networks, vision transformers are often of sophisticated architectures for extracting powerful feature representations, which are more difficult to be developed on mobile devices. In this paper, we present an effective post-training quantization algorithm for reducing the memory storage and computational costs of vision transformers. Basically, the quantization task can be regarded as finding the optimal low-bit quantization intervals for weights and inputs, respectively. To preserve the functionality of the attention mechanism, we introduce a ranking loss into the conventional quantization objective that aims to keep the relative order of the self-attention results after quantization. Moreover, we thoroughly analyze the relationship between quantization loss of different layers and the feature diversity, and explore a mixed-precision quantization scheme by exploiting the nuclear norm of each attention map and output feature. The effectiveness of the proposed method is verified on several benchmark models and datasets, which outperforms the state-of-the-art post-training quantization algorithms. For instance, we can obtain an 81.29\% top-1 accuracy using DeiT-B model on ImageNet dataset with about 8-bit quantization.
A deep learning method for solving high-order nonlinear soliton equation

We propose effective scheme of deep learning method for high-order nonlinear soliton equation and compare the activation function for high-order soliton equation. The neural network approximates the solution of the equation under the conditions of differential operator, initial condition and boundary condition. We apply this method to high-order nonlinear soliton equation, and verify its efficiency by solving the fourth-order Boussinesq equation and the fifth-order Korteweg de Vries equation. The results show that deep learning method can solve the high-order nonlinear soliton equation and reveal the interaction between solitons.
Best Corsair Mechanical Keyboard

Having used a good number of Corsair Mechanical keyboards, my  opinion on Corsair keyboards can be summarized with an extract from a popular ...
대학생들의 표기법 준수 실태에 대한 비교 연구 - 대학교의 학력 수준에 따른 비교를 중심으로

The purpose of this study is to investigate the correlation between notation of notation and notation by examining the status of notation of Korean university students according to their educational background. To this end, six universities were selected by dividing them into A, B, and C by educational level. A survey of foreign language notation was quantitatively surveyed on the free bulletin board of the college student community.According to the survey, Class C D was the most well-coded, followed by Class C A. Universities that did not follow the notation were Class B KU universities, and Class A K universities also had high error rates. This is an unexpected result and it is difficult to determine what the findings mean. The level of knowledge of spelling and the practice of it may not be a separate matter.
범패, 그 존재 이유와 역할에 대한 고찰

In this paper, I have tried to illuminate the Korean beompae through the shamanic music of primitive religions, and the formation and ritual use of religious music around the world. Just as high religion emerged and its precepts and ethics were formed, mental and emotional regulations were also established in music. Unlike ancient primitive religions that praised a vague object of deity, the melody of recitation of the words of saint, the founder of the religion, formed the beginnings of high-religious music. Thereafter sacred and elegant music with restrained feelings differing from secular music was pursued The Gregorian chant, regarded as among the most sacred music in the world today, reflected the music philosophy of theologians at the time. The Confucian ritual music of the Munmyo Jeryeak and Buddhist Beompae chanting reflected the precepts of Chinese music philosophy, and flowed into Korea. While Buddhism was suppressed under the Joseon Dynasty, the spirit and law of Confucian music was maintained. However the Buddhist chant Beompae could not maintain its original spirit. Thus, today's Korean Beompae has a mixture of Korean folk characteristics due to indigenization. Bumpae, handed down by select monks, reached high artistic levels with the addition of individual artistic skills. This is not a problem from a musical, folklore, and cultural perspective, but there is room to think about it from the original religion purpose of Beompae. Taiwan’s great Ven Singwin(星雲) said, “Beompae is originally song for people, not for Buddha or Bodhisattva. If people do not understand, how can it be called Beompae?” Ven Singwin’s words implicitly reference Korean rituals which cannot be understood by those unfamiliar with the Chinese text, and highly technical art song Beompae that are far from the sensibility of today. It is time to discuss the original role of the Beompae, and to ask the question, “What is Beompae?”.
Activities of social institutions in preparing the youth for family life

The article is devoted to the consideration of the value orientations of modern youth, which are formed against the background of socio-cultural transformation of society. It is noted that in modern society, there is also a change in family values, which are rendered by the parent family and institutions of secondary socialization. Social institutions should play an important role in the development and maintenance of family attitudes among young people.
LibGuides: Alma: Using the Primo VE Catalog

This guide provides information about Alma ILS and Primo VE, the new library catalog, for faculty and staff. This guide includes training and information on how to replace broken links, searching the catalog, and more!
Sistem Informasi Penjualan Kopi Khas Lampung Berbasis Website

Coffee is one of the agricultural products favored by all levels of society. Lampung is one of the coffee-producing regions in Indonesia. Arabica coffee is a subak abian which is spread throughout the districts in Lampung. The number of coffee shops in major cities in Indonesia not only benefits coffee shop owners, but also encourages coffee farmers in various regions in Lampung to produce even better coffee beans. The emergence of coffee shops also opens up job opportunities for job seekers to be able to work in coffee shops throughout Indonesia. Micro enterprises are the main source of income and job opportunities for the lower class people. The more information technology is developed, the easier it is to promote coffees from certain regions, one of which is coffee from Lampung. The buying and selling activity of coffee is getting easier because you already use internet technology through a website-based sales application. Through a website-based Lampung coffee sales application, coffee shop entrepreneurs and coffee companies can easily sell coffee products. Based on the problems faced, a website-based design of a typical Lampung coffee sales application was made where this Lampung typical coffee sales application is the best solution to solving problems that exist in agriculture in one of the coffee factories in the Lampung area.
Cultural aspects of future specialists training in modern conditions

This study is based on the results of the OECD (2018) structured survey of 1,093 teachers at universities in Australia, Colombia, the Czech Republic, Denmark, Georgia, Malta, Vietnam, Turkey, and Argentina, examined policy, the practice of cultural characteristics in training specialists, and teachers' attitudes to cultural diversity. The attitude and perception of cultural features by teachers does not determine the practice of forming a cultural environment and managing this environment to ensure quality education of students of different nations. The main culturological aspects of training are self-expression of cultural and ethnic identities, expression of cultural characteristics and their value through multicultural activities in universities, teaching students to combat ethnic or cultural discrimination. Therefore, the formation of a multicultural environment in higher education occurs through the activities of students and teachers, which complement each other.
DUET: Improving Inertial-Based Odometry via Deep IMU Online Calibration

This paper presents a deep data-driven inertial measurement unit (IMU) online calibration (DUET) method that can compensate for the run-time errors of the accelerometer and gyroscope to improve inertial-based odometry. We design a differential error learning strategy based on the kinematic motion model to train the sensor error compensation model. This strategy allows our method to learn IMU sensor errors, such as scale factors, axis-misalignment, and biases, solely from displacement and orientation increments given by external tracking systems. Then during the odometry computation, the trained model leverages the past inertial data to mitigate the sensor errors and thus reduces the integration errors to reflect the odometry state. The experiments conducted on two public visual-inertial datasets show an average of 20% improvement in the position estimation accuracy of visual-inertial odometry, which is comparable to existing learning-based methods with lower operational complexity.
Information-assisted volume rendering and visual evaluation through machine intelligence

Exploration and visualization of complex data has become an integral part of life. But there is a semantic gap between the users and the visualization scientists. The priority of the users is usability while that of the scientists is techniques. Information-Assisted Visualization (IAV) can help bridge this gap, where additional information extracted from the raw data is presented to the user in an easily interpretable way. This thesis proposes some novel machine intelligence based systems for intuitive IAV. The majority of the thesis focuses on Direct Volume Rendering, where Transfer Functions (TF) are used to color the volume data to expose structures. Existing TF design methods require manipulating complex widgets, which may be difficult for the user. We propose two novel approaches towards TF design. In the data-centric approach, we generate an organized representation of the data through clustering and provide the user with some intuitive control over the output in the cluster domain. We use Spherical Self-Organizing Maps (SS)M) as the core of this approach. Instead of manipulating complex widgets, the user interacts with the simple SSOM color-coded lattice to design the TF. In the image-centric approach, the user interaction with the data is direct and minimal. The user interactions create the training data, and supervised classification is used to generate the TF. First, we propose novel supervised classifiers that combine the local information available through Support Vector Machine-based classifiers and the global information available through Nonparametric Discriminant Analysis-based classifiers. Using these classifiers, we propose a TF design method where the user interacts with the volume slices directly to generate the output. Finally, we explore the use of IAV for home-based physical rehabilitation. We propose an information-assisted visual valuation framework which can compare a user’s performance of a physical exercise with that of an expert using our novel Incremental Dynamic Time Warping method and communicate the results visually through our color-mapped skeleton silhouette. All the proposed techniques are accompanied by detailed experimental results comparing them against the state-of-the-art. The results shows the potential of using machine learning techniques to achieve visualization tasks in a simpler yet more effective way.
Automatic Handwritten Devanagari Text Generation in Marathi Styles using Ant Miner Algorithm

The Devanagari scripts forms the backbone of the writing system of several Indian languages includes Hindi, Sanskrit and Marathi. With the increased demand, exploration and globalization of digital Devanagari documents, different printed and handwritten document recognition techniques have involved since last two decades. In literature many methods of Devanagari script recognition have been used but it is not able to attain the best results in recognition. Hence, in this paper is proposed Ant Miner Algorithm (AMA) for recognition and text generation of handwritten Devanagari Marathi Scripts. The proposed method recognition process is working with the four different stages such as pre-processing, segmentation, feature extraction and recognition with text generation. The first stage pre-processing is consists of skew correction, noise removal and binarization. The second stage is segmentation that contains the line segmentation, word segmentation and character segmentation. The third stage is feature extraction method it contains four methods such as Scale Invariant Feature Transform (SIFT), Linear Discriminant Analysis (LDA), Discrete Cosine Transform (DCT) and Local Binary Pattern (LBP). The final stage is recognition and text generation with attain with the help of AMA algorithm. It works based on the two phases such as training and testing phase. The proposed method is implemented in the python platform and it compared with the Artificial Neural Network (ANN) and K-Nearest Neighbours (KNN). The performance of the proposed method is analysed with statistical measurements of accuracy, precision and recall.
Research of High Speed and Energy Efficient Visual Cryptography Techniques

Visual cryptography is the most popular technique attracted various researchers to improve the security level while utilizing the images and videos as encryption key, instead of text which is easy to crack. Visual cryptography processes the multimedia information such as images, videos and audios in order to enhance the security of the multimedia data. Visual cryptography computes complex multimedia information which may leads to computational overhead when simple processing techniques and architectures were utilized. So, various researchers had taken over this challenge and trying to resolve while introducing the various high speed techniques and architectures which would make visual cryptography process highly secured and energy efficient. This article presents a literature review on various high speed architectures and visual cryptographic techniques which have been adopted for processing multimedia data. This review provides the survey of different visual cryptography techniques adopted to achieve better security and also discusses their advantages and limitations. The comparison has been made on different visual cryptography methods with respect to performance, level of security and PSNR
Review/comments of manuscript &amp;quot;Global whole-rock geochemical database compilation&amp;quot;

This compilation and associated database make up a fantastic contribution to the geoscience community.It should be useful for a wide range of researchers.
THE INTERPERSONAL FACTORS AFFECTING THE INTRODUCTION TO ENGLISH LITERATURE LECTURERS’ POLITENESS STRATEGY

Politeness strategy is always associated with a group of people with different social backgrounds. In their conversations, some people tend to apply different politeness strategy depending on the social status of the people whom they are talking to. One of the situations where the politeness strategy takes place is in a classroom. The way of a certain lecturer, as the one who has authority, delivers his or her instructions represents a particular politeness strategy. By considering the subject and the context, classroom situation is selected as the data source in analyzing politeness strategy and the factors that influence it. Apparently, social distance and power are the factors triggering each lecturer to apply different types of politeness strategy.Keywords: Politeness strategy, the factors, Power, Social distance